From 00ce7d52f7a026fa4c661a4c2652d405b77f3ef4 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:35:58 +0530 Subject: [PATCH 01/27] Create readme.MD --- Sugarcane Leaf Disease Detection/readme.MD | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/readme.MD diff --git a/Sugarcane Leaf Disease Detection/readme.MD b/Sugarcane Leaf Disease Detection/readme.MD new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/readme.MD @@ -0,0 +1 @@ + From 7e4648c1411c6699f128f75b8cae72c654f646be Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:36:50 +0530 Subject: [PATCH 02/27] Create image.txt --- Sugarcane Leaf Disease Detection/Images/image.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/Images/image.txt diff --git a/Sugarcane Leaf Disease Detection/Images/image.txt b/Sugarcane Leaf Disease Detection/Images/image.txt new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Images/image.txt @@ -0,0 +1 @@ + From 4c32373dc1b8eeb9df98d16b7ba65230599b45ca Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:38:20 +0530 Subject: [PATCH 03/27] Create dataset.MD --- Sugarcane Leaf Disease Detection/Dataset/dataset.MD | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 Sugarcane Leaf Disease Detection/Dataset/dataset.MD diff --git a/Sugarcane Leaf Disease Detection/Dataset/dataset.MD b/Sugarcane Leaf Disease Detection/Dataset/dataset.MD new file mode 100644 index 000000000..7d74a6930 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Dataset/dataset.MD @@ -0,0 +1,3 @@ + +The following dataset has been used in this project. +๐Ÿ”ด https://www.kaggle.com/datasets/nirmalsankalana/sugarcane-leaf-disease-dataset From 449bbd0f92f0e2d9e4ed94ac3ed757a63c1ba768 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:38:44 +0530 Subject: [PATCH 04/27] Create model.txt --- Sugarcane Leaf Disease Detection/Dataset/Model/model.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/Dataset/Model/model.txt diff --git a/Sugarcane Leaf Disease Detection/Dataset/Model/model.txt b/Sugarcane Leaf Disease Detection/Dataset/Model/model.txt new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Dataset/Model/model.txt @@ -0,0 +1 @@ + From c016eab1c9f79a175fbd06cd81291e5bf4f62c53 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:39:02 +0530 Subject: [PATCH 05/27] Create requirements.txt --- Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt diff --git a/Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt b/Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt @@ -0,0 +1 @@ + From 8c0e305a219f716b7885100650e26e6aea8c82f9 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:40:03 +0530 Subject: [PATCH 06/27] Create model.txt --- Sugarcane Leaf Disease Detection/Model/model.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/Model/model.txt diff --git a/Sugarcane Leaf Disease Detection/Model/model.txt b/Sugarcane Leaf Disease Detection/Model/model.txt new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Model/model.txt @@ -0,0 +1 @@ + From 6cfd0b3313cedca415473c4885c4ea5c57fade44 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:40:36 +0530 Subject: [PATCH 07/27] Create requirements.txt --- Sugarcane Leaf Disease Detection/requirements.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/requirements.txt diff --git a/Sugarcane Leaf Disease Detection/requirements.txt b/Sugarcane Leaf Disease Detection/requirements.txt new file mode 100644 index 000000000..431792d7b --- /dev/null +++ b/Sugarcane Leaf Disease Detection/requirements.txt @@ -0,0 +1 @@ +This proejcts require the following From a233f23af6708f2d6a3198425122dd7b350916dc Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:45:03 +0530 Subject: [PATCH 08/27] Add files via upload --- .../Images/Accuracy_graph.png | Bin 0 -> 30960 bytes .../Images/Confusion Matrix.png | Bin 0 -> 27815 bytes .../Images/Data_visualization.png | Bin 0 -> 658350 bytes 3 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 Sugarcane Leaf Disease Detection/Images/Accuracy_graph.png create mode 100644 Sugarcane Leaf Disease Detection/Images/Confusion Matrix.png create mode 100644 Sugarcane Leaf Disease Detection/Images/Data_visualization.png diff --git a/Sugarcane Leaf Disease Detection/Images/Accuracy_graph.png b/Sugarcane Leaf Disease Detection/Images/Accuracy_graph.png new file mode 100644 index 0000000000000000000000000000000000000000..000215997ba1106f89f5040cb71304846587115e GIT binary patch literal 30960 zcmYg%bzD>b_dng;jevkicXx>(puDBKmD(8H-62Y+w9+9kax_u{L>bKn$UwS5V0`E2 z_s{Q-yY1e+9{1i?oO7P%JfE*bLw#*hA|@gX3=C487aDIcFfdoqM+gBP`ic{Th#CEb z33{WghS30J*+ZY;xTwBT#lUDzC%(7CMV}J_UYLO}Fvy1f9hhTYUmP(o0%CPERR0UG zJ}klydHZ%@#3YED1DBxpn(Pe?EiJ8YQ*v*b?}3w#yLh>{-2?^$zv>4q-5l=MCXT^=D-X`eROY=v>hP^cx0 zZXTof|NRI}z%e1#z;H{wx=`qx+jlgg4K z2C&rS%kSBHX*`uLN$lk0bY#tOMTY*P#`f;&5PUL7-28~TTPbLAW!~P|u|HbvTx@Yl z?$%D|jmI%bc)s}U9W|YxdCad`69>d#?9uwp(AL+MCxr$-@~x98E;&Aj>K(8i!Dzu( z`L%0}F|HPwnVInNbS1UduPNh5nd6jEH`u&IJ|FMCV5gh4yXS?blofvb7i!YY@Q{_koY?+Z0y4@C0HW_mDJQE zB4E|^6U8=&wC?n-4An;!6c(l=BoG7_mXwqzR)N8bsJ@NxM^=90y8bj)c?uR5clO7< z>JkbjrX;_^VET-34uKZHb1XLh39!$eNp*uPmPr?GNvdrZz^;Ogr3m2NZ#o zxwwWNdzM11-3#R@rugu5YC-W@KtUFDyL1QgOM;m_nWrq2wN>@7Bzhpx{k z-H~u$ye{S6KtdNEm`oIe4$9(bf<)AvbV$4R^-L#TE$M5O;odPc{J3Edv z*&T+SiyykV3V|)5N<_=5_^dG&o}IYJ;$We^hbs%q(92&kH}L2~hn^*a5~VewD`Mdu z+o9t7P?}V1as`U;hkcv+XF&FmbI9XEBQ0Z+{kwO3Rr*CqMh1$sW9;DyReE_*^2a^% zDC@JIMh1wI$NOs9V*Mhy&R|vV7xSo|_)qf)tjD9P?2(5`JX2r=_A$p;@g|8FO+|FsUkEAe)*F~HKTX!>i z^-#vM1$|*=y459p#Y}`DU7BD{k_~rib{K=154Ppjt-i4c8*0k;eq$3V~W%~ zdMEeC;g9DG(nwLV86_8I=c+LoVT0rKUPbi!?7eemOQ*z0r}UfQZ|t#$JfbH_K}$hF z>zhI{o#2`KDtOLecn0OhQZ|;5{ZNEn`du#fH>cgj$>{~EQOK4_p>u|77l=)ZW1`Ei znzvWL;zml|bVkF)1_%EmRy#s$8T?eJWC zztOng&<#cP09V<#7K;<9d6(UEP*)w0z%KveBT@YY6dPAdu`Fn3aV(&oOm>?holz!m z>dB-79&@quM#y||G^6RFLyYUQ{2|&hDzBc?IA0kOezBB*gXXc#N7V77pHqFAwA5mlEp6VPC;O>DG|}5lQKi!X!D-)!t=~k^&Ck(woxj;A{K4 zX<%vT)rlX>mSU$6EQT{WbCdiMTiU;vHyGQUD?gkOeX5Vt2A2@p`s~M$rKhDGHS(l< zvFMnA>EMSC67nt%bIO@w@Gt37)85`@}pffc>&@vMHizK|3m5rHWR5i21stPn3e zG8R`Z8lTRPl*jzYq*Pm$(2Kb%^Q+^Hjbc#XO>m%4Z_s5Fqrwsa)|$iyJqJ?~+F^T( zq`YHErL7G--$9^_@*CDb)1MjTNB49)JbtgMw~2UO-)T5edWMD{x;sz+)CcLiGm(ts z(w$<(;N`JrVWXrgvn|&^BJ9}4nog}G@}b31on^yTVC|JcJUROj+iOV@4si)RhOpn~ z;s;PSCze`TVBGla{pz!tQ9g6T`Cv)yebB_vtRU_**x~Mc9ocoWnS2P31AVuCb|0cN zxUXU7d{fYvc;3vi2+&_9o+*OGp0|>a8|BJk*fVs>$-vM0!V8mkzG05!L(~)EI0tCU zSZqR0V|xRQ+|gDL)UEh%F~6WAmXV~Ns-`>em2CY>pi$!l>Fa0D;(P|J1KfX0me71W zi|W694J8)e+s)8s8_2N#0#eY{%DsG9J6)*>?sMv z7&*+4RJj$rnaEp5t-Sp~{XMNE&wq2QRAdqXeLf$2KKd-ta26}8pO8d?%H5n3dK(N0 z0@ngw?FseH45e~xoaOyu5jhE>Kv_F$%_|xi-mcG*o-+mDew-QK*N~nWz~sVVX%e~B zOQ_PAjEVsuUj0>myiNCw)Mf$3__nR5a_qPi2ad+c=Iu=eTE-~{8dXz>iD%nsL#=)| z0gFFO+Ue5$=l z=DaQJY@GM%R+fD#l5i${W=uqKq}X2jdP=~vSRC2Nn2j8jJ^u5#ykhnYd2{abHN@Jw z18oDV#k?cMu-Ir?A@$AAQO5(-C1FXrLY+7cqbbdeu}EE$sq^2y_Hh!LSHj`9$wdx3 zcjI;M`@BL@SyV*s?!J_#Ew>3IfZ!}DCq2*p(75)|9W{DHaBBGOe&UKD9*KqS4O1KV zTpz^gn(aQ3P1nu1-FQT~SFy zGzo?8mo}Zso%)`1p-l%n>8#Lug750V7FNC2kg;le6SlW96~os ze9N~#@+kxvWzp>jNK(BC$%~$`K0(UIQoQ;HC#A5E%AIuy`(B-7S-MU!=!>KjjTb4g{JyV~EcsrR9PurU|KMb45mEt$9TF0(EYf{^41QGD27CsL9{h zZv`Fc(b)HjHmh8u-Wt#;^iH;>ZXIhPBxH*XRd42h5<6%2S`RsBBdh%?TL$9fD9cswfypCYV zlb7bbaeL{D)(qcQO;1^CXPcfD|3m!4eKAp!Z>sB5t<3-hl8wb`6R4s(_Q^{8I!awi zt0vpX;23N{In8WdsE#XiMIf34E^ESzv0-aLO*xp7hjpB2{JbMbkbjiBP9~V zmThIR9<(oLp;7F&wu1jn;Q(W>YEdDLIk|usJqV30{_tMIvTTDsP2pg+WecD&UeNGscC8Le+?zJUX{M?cr;eVJ z<7W2?2=`vRvCw!pn-m@^(@cKu^YV01ZU4Y=a0~oPYV3dM3hwj~fbn@4>K5r?^sdUV zx}sw7%FOclaN3h8b7w?SCkVOhuxl>deIV9dQr}+_wO`CobLIIj4Fb*AMNJxtuEYS} z&EV2o+A_Ph=1I8qiaF#>f9};W@EJI;(z$-A>a+l~v@8tO`DAm+fP%_v9mbcFHH8T3S1Nw0gi=*Ir72#cN^1WStZ5B9ov)qa z$jy=xfsvTtzJXqwI+geOrFUNza{v*aiY;Q4+a2LhgKR`XyvtUXKOG0;%TGo7V=i>g zmcUc>8B8tDwC`x+DDDVrETlWUQ*9X=_uXh83!ZvV2Fb`ivL)sG6@nwtjKVt~pw ziu2NuJ5M(&OQdY|(yzd%@0g1agTnfD7|S+ICj9WWz++KTOoF0W>*q61^ao4i7Ry_uv`;#|;Dl~+QBv)udyKY;(ah}Au(23=5`TMq zv+d_hYu|m_d4*7waW~XvS%qN#^-a-0?#}iG9Z^}L)911@fT!12pkeP8SKS8*I;9QR zWc${fm$3sVsIRxvM&>KMKH~~2>vF7Vsh~lrEb4a&)hQfSJ6o-eb0p*G`YBn6IzG&- zBniLIGM09w)zI>fD1=>VbzO#mC*;ZngrBls-@}(ZH3AhQ`11w`WAm zmFRb(t}E3=d;uqARwKK_E(~-3VkL5 z`phs^e5TS=vFLbPuAg_DAp!$gaH6@VC(a*TJVSb9wHW*<->+)Uk85m=KY!K^3KpJP ziujD7Y#HWi!=hYM>kCxH^fd^yv$_%3BFpid9u`-w8@eBs*l*_{-;JoPzUZ*Grl$Gu z_|Qd3K5d!`;F`TIl3>AS;I%X>yq4nDGL^1IBC<-P;SU=frlOUGR#Khmly*;KyZhZ^ z7xS!Qwpos0vERjxitJx#hunV=0$-hA?$Xe{*X&X<-0fiQ_`6-#wqSOCd3MRG5exr} zI+bw_plAMDpKeH(mA#}&jxYD>)GQPJ5)ivseZn)CGDE9lcJqGEPhc_EvrwbQmm^wU zo5NjLrg*~er#F#qD)n=gjqh^HU`ay5hfb3v8z30e*W8x-_2D^QQoC(p&c-F0&Oc6AIVk@KhEJlfZLz-lY#F) zgkAME^3#lLNL3*AmiC(fMtE`lsiR@N_6I5sV9KSqzQ$LnI3`j2!%ESmJtYfO@Rcn2 z)1g0(-Nita>K9zbvb!v-aeUG8_R9%E3_mK5q&Fr`ct$opWxkH6mILO(r5& zP6G2ZgX73R?&N;=$~n*Nq-ZJ3I>#QLQJZAX5lNiKKub%v&0-u0DO|Gq~FzoGp6Fcs*J#aNnWBIoj@mS>+~{YK;z3Kc=Or$p@+^ zR2{=u*X#$I19b7$b35k1>+bs`=?trcE-A;&lZp#kX_SjjD`Ka2qa=0f86L4x{E%T3 zTi2ZXxeSshm>F0}yymKrkyraEg=2+VpEj^@>rV{5I$hMU*Y*UZ_7_d;v&W} zuD98kbJ)b8pCrd#eqNp{=C0pdMO|rIFE(~&!sdp@z~Xq)lUp&*@Nz<7^t5uTojhk5 zbM&>=Nj2GijGa~4Tr*|Vf6m3%9jSW@b5LEqHjXXO_3=AaL8O-Kn3>Hp9zE+I&^k}g zi9;DHgQa3+3F)K>J(-Kxe6+anawM+$wMqW<5dh>7Ix=Uh6~#Y5Yu`9gExQiZpngS$p)!sIur0A{!yHey0;28;rD(cGF+TN0iI(1z{D9a4e!79E8 z-q)9e28+#K_6Zwr7HvqaApb%@V`bXz!)y&{jTu5Ypk#JbAFbWa>Yh2{^BplZXfWQ* zEpzkBeog#KRbf!^RPmZcz?4-!b{hYNr7OM|%}_r^_=QAtYGSX0=p6XFsG|MsI)Slo zqhB?p8(E4>W6z@dWQQ}yB#G3n5VgM`A)d)5JCbYlw%rnN@giEP->q{%92GyM?Sb zv(LU`%eA$Fs%bj&J;!!yH~gC zG`RyL;a=gO)PQ;|zjUdx-|1O8W~R_-neezCzA75U?z~3%JlG_~eTkOOI`8=b2v!Mi zJQixFOiU&_hz61GIxtD93%e<-D4PhDZ67NAy`~5p8wz=yd8at6S}j#5Ub{CD(cC zr=m{#c)@Yl7y$-S?v9~j(zp6;=iFa46KKkw$@HtD(&>Ssl_kUDQf&EU+1Cw;p9eC~hQUe~@7Q4^}f$e=B*{f=+%yaq^ivz%4>-QCFE z+{kVs-}|Ir`8^pPWDgd;3_yZgMZ}oP``|j@^7<}y+=apN)UNpX5SAizF$cp&FA%FOCJq($Xf8itp|lPr}2`+e&EP(D@@n);~b! z{HC7`b=Ob(QV0nK!E3XmF8*%kIe0_{b6iRN^YpIeBH}lB$FL=C`l+*52}Erp%Xx*F z6tvC|=huJRv2w0OLRQVGd^9G@c?LX+imeGSvy~i0Bg2Z85$yAE@M7xtl?i15y@9|b zR1xP&<{}j{Th3yVGa8C(@W+m;lJH&s7W+V!f#x^zGg{u*-r0Yym|dG||A0nCFKK8XYTf{?Sfno4h;Q6*Ot0!5_0UY8lSNO6Qn!K`>Wm zXbOYk(Dk_gH%5Z;6Tn?ppuIT=I=}SZ3Lsv^wva~qA9D@?%XUuc*^xICtllH%_H0TY9mAF$HE#klK`6CwTXt%QYtb zqso&idXY09cp-UYv=>gxrwB8DOapzK9R^Y8`Vm_Xx!w1>a)^w*O(F7V^$tx!xjHqO z1qOMF>NBjpm5kCn&v04YTyc@JIrit64UM`j%bzK?!JwGKl-Uh}_sm4vRWnqZZN}u6 zDD~?!ET0twLM1*=9c)<4Y6{;m1gzcn4KJxgFk)oVb&?;2qM5I6oQth~o5_sP3v%1M@M zd?pOdEFE)kl&9q(w~8SH;CubfwGwH}VRu~^8k5u~Ouut~`5`%y@X&q6Xl~*e6yMt@ z<<4zj--ORucU>HMiv4*^0}h8^4P4#}yeX6?#pc-{D7+y7WCFXmW-xv%VB6#(9io19 zJYr>sn?HUKw-VF5n|F)Q^ukh4!%n*;7a1TpR-&=^H--}P0r0OYKTm|@TD7P~%w zm=5a)29h)`e*`Wn_AEBlP~b;K0@(ueq<&mA*zJT$L4wa4yO9ooP@f@Tb_Z+N zoeHdZ2f2Z##n_zY-lZ4jOH5Uk)xX{@-FJ=eP5km?k+FP^YXKZFI+)*KW|0~!;%VQ| znehW?IDTi~EA~>JOl;_iZWUv|=ug6aO=F6wqO-LwmA@Rw?^6SAT#36Um~eCrM|P}3 z!;~ay-xSg}ZPxlSa#3LhnC<|T!j}NJj;PL$mQ3Lz$$9^qOtD85v<~%D?}S!uolC<; zf<4eBwEc0}UtwB5|FRGbU*W28PF+ecD>ExA*<0Q`^n;Tl)IFs*84vFd`eI7vUV)}n zwwY~*(xJhY?$*ph$B5G%1z!2QvD!W#s@Bo`fuZ5a>!r@GiX}KE-!M^&g^}kr`ChG` z8kOxamL;pGDOgp{o+EiiZ-tUP2Mv)tlT9qw@ne|ymbfG$n=3IwrTT!hPo62#o4Ack zW9=9T;`Wm8XCRn3*2uYm_2JXq6sfWi*vM}_-&Y3+(!xoTq*Mm6?as!S*s|}EbsG$0 zqui2pvos8w8cg1)1qzekHhnFOec}@Tt7vD6OPeQCGTL2ZAN-E!oMOfaXw?VSQ)8dC zKajcGI5+I`oChvCv-sr)*3|-&?=aU=9JVEIek8cVMEhTB`N%T3y_b=(GtJ|;uHR9t zp5N&_d)QR5d*qMo+v(kb+p=@~FShjSDsyj^GS&i-r|Lj^hisfmFP!XfdzJzE{xoiA z>ih46{hu9JUQbA-0Y|FS_RDU>_8bpxRjyA3hYr1EC;l`Rfh->tXQ2eYnm$e4K8`1R zVw9NeY|fvXm?`=ZwKuxtD_$n*nt#p|7~&*@fjH-Blu+(ob>G>LIA6}=)15o=eKHH8 zn(cF0)9jXd#x|*h<-B${WhT~KeXY8aW_>`y$slzowwwpshF3R;O#Ph{@ArT7v%U@+ zP1W-ADdtib)nOs3+p!*p71$}Uf7N3D*qP@x@Ik0Z)W$z1uvj@yRrQhU>g$(Zgk)4L zsf$&0zJuHMA?>;V_ErCXNTG}r03|;EkZ%+dtk0D8dM(xAtFYxn^MSfU)`qwFm(x-C zBP!d^z}V(qex9t%+yW`qlb-4n>|pwYW8_qQs@yzKXBty81DZuB?<4KgsZfHLPwkdO zn#dYuA7u`z&i#f*j?EXPDvbdL2eh`uq~wJHw`S57#a1T-?2?S*BcUKqQ3(IjAC~1x zX(!&Kd`Ka)3P|aR!=z=r zU3pi7Hvt;4zd-sQ_n9DFO9a2XcB3@5lJ7I4-1Z{L+BJ*p6TOwBDkc(p0J>n2c-88?ZeWnWGf6; z5%x*`s_iF+6gGPouN!9i3waWbF}F62eF>&Kcb=^Hs-y+rQ_(XwbHsT+CdS*EC2iN$ z)SE}BXJ_vx*gbh~AM-ISKd)MEL5IP(P30HfOlvQtHBY3kw0<^XcU)TbylaY#tcF`{ zv`K7|o=j40#jfc*sFUVh9&max^#kZDsb=$&AwrkdlqblSy=7ytVF%Nn9Ao#Zs2#Q` zcN?REOs^hAHjN8kR?dGmx(scQBYPm*us%)qvYGjd_) zq&AAfscRjjjb$~;Annc~TqHF#uNP(hkkwk}vVRO!>hehfGc-GAR8 z?1{5}*E%1SI{xCaA=5E!qwi;4^!?Qaw55=5=Qdr$2ISd>e%2k9+zTRjjBe!DYZ+Md z2pt*t2k@T8+Bj`<-|od@`DCH&0(OI_eX!;lJ`af(sQ*95^?9>vIYJL>nU23J$@(;( zqk(&RO)Zopb1Y~C`2{a&G1{ha_@{Pwe_W;(&C88=fW*UEQqk4^5FTu<4bX{`Gdv}Y z)qkr+=kDVDb3H~s4>A3a(qDXz2|&@O-MEYCr%b*sRwTF?CYa2=O&h8ug}QiK-&k?! z)y);y7T-k)7jfbp${mtTwrj``ATFJD#Hb5$Q~drG^k?m~m0W~7M~E#YN{P_S{C=y~ zUSmKLaTM_VR0T4WI$5+ub92(-9LES(_|t?ef5XoDbYZ`y3G9seWhZ{N zL7CpfHG3cuLdIg7u_%ySo%i28ciiH9J=$9XUkT8E-!5-5wY}%o2e(O1tBU0%O{Ow< zyS(V)5Lxh{xDHm|!_(RBy(W5l83MT2@96UuA%csou zWX7|H2U8he%J;jdr>W_(J>X;}ybx2Wn zdP9X&kR6-seBrzr7Q%hf19YEZBk2ivdUD4PmHSDZaw7J0Wtl4MCTOvux71!Yw{*JG zCat2c@0ZTUO%~Ci?^G*vk!TX|B~4Z)f|RQrO@1H_5*1H7%JEn9;L_o1G1~{`*}gwj z!hn3n$KSO)5$k5phtBUEbmKgX`@PfJ27L zw%f`d5xOYu&5<*`?xUCaNkXDkyf;NC&X=_R`i^ZU#!&MYiTu(#hYpX@R-V8`A6sQm zk!CVF7HPhdNphawHYg49utjEHOQG~q?z`-vKQiUNuXK@6U3nRUZ51P)aXyNyq zZXG`qjn#GX@NI zRiG_ry+EWqPxGm%Uq)8`?&vcre5MY+T*|et{_^MfqKa$m6u;D}L%wemwsrTUk@Oy? zI?6Pge1Ipl<0HSVKZu`1QnJ$V!V7aIrMT=nLcuhLL(#x>%-&gU9+Ck}6nJk}^_ie# zS*LrqRa`4^lHf|N=;Xz;Q4u%8+y07LmvGbcN(=GR!SwxU<6apUZCo$)Cy;2MiZ;#y zjsA{oOVP>?^1{nfpQKk-gf$!@`?+owvXGT!weNRSbOL#(kJO^@kO1`wsiaUeJ@$XE3!5*vJrMfiu62<7nKF~(-`*R>WRTl)shw(3M=2lVO0JeLhkL7XD}zb9KOV-bwu{)7GkNBvV~ewBzHWOSLITP4t>NZR9+X{x8zmzgC9 zJyn@H@CL3A{=KV;<^o2jH|j?|3g%_K0;Y-xylO@b-LKk3%W(>o#R2$hiA5cuo5TVY z!ZEH=Pr-xIwoVm{qggGkgDx;^uad($?%z~Y&~alro97H`MZkt!-yE)fG5$VGQP=WQ zga}~hGu&J^y$)1bkr{4)>(2X%-*kvU>|lqA6|r<^U_Nltgl&P`&2Jmt>}A5m*SgvR zkUZfIZGK7!>+2;@uGbyWDeq>YJWl-nK@lIHZb8iX+}kgPF(hOwyO4l`3C*h9;Q6HP zyU62GcBT5i#1;zOp!|ufmSKIrE3?#*nW*btj9MPw$-OT8+lLI@p(%ICcLI1CX6_lB5$hyrpUJI136zMfqnGTiXaz7erjjq z)>Z1CRIVF59!0Pz3JgHk@ctg7diA{J0`;T|Mf>E#tP7IvAm;CeW_}HDs|ceq6IPVX zlYHetfWu4_ctqy3;c%!%h-Dc0cbUWxe3c~`S5EtquB=hrBKysv-ioe|n0cl;Z)kqIW z$qN(5N|zwZ4e_*;C}<8|`6`O|Go}rfKIY5xVT!a+_Z;EZP4+PDz~ZV}v8Q^M3>lul z-6+>~XE;)P7m#H(Okx3Q$W?S#wkdQR8rEy7A%UTk{!YK|j%Chy*u32WoDPIiP?-*u z2(N5&haC&F*)1t^&k)QVyZ~rU^7!*M!MUFV7l@m@&yi&?ZBGMz6!;j9Ab}r{7h;{( zS^o5;5jipFZ%&tWldT<}Sj%`D0SWKmqX-7TVQBC=y2Lw_*rIO7H0`m(NNS}XjsUv`b3{4l;* z(cz$_RC>olEi8kpi^Z*Oxi~er&ot5m={bz1%uk0I%YnO}&ENAND>2WDMVZ_Rr7ad> zb79;uu6|F!Wxoe!PbP#TerXxvGb7&@nbV3?OqLy#&-gL9wR#FLgRTqg*;ZPkNouu# z(2Hg-*doqTXf>Ns1@--2LMN&62&F%CGAz8&C_Q`M^e!J+aAvT@6psMEwi4~q4xX|o zac+(6%?!Ff@$)91;%82wjtU=$@#|)I2hyk7G!@z4NF@KwW?TuL;7z+akp8vKzf+<~J%WQi_LDISeR7yNTz93>MF92A^5AL;E2PJjx#djv zb~o{LYm=j8<$r zS}>yZo!Uo~WR;bbi#>s@hsDb8emrFX4pZieIT0Z=!3nq5ZONk!Zy;o}Ed_2dhex?t(;KpXS&;X!6oPTi56M##6D^+Y zHjuEZU}eylEIb0c>7T;5H|O)`CoDd*s-|eYl5d+&cVc3qRF7p|VIj*@q3k@{*kSnN zUCCX-3FBg!2Xsi~uDHL#?a$kgBHG+tdtnjIyP-cc7ir1;dDKCh4b*Xn-pQ*D9qn+Y zb;dbFaP^knW7^?KHDytK|Km3)+O425_>bs2nNpj$%I-9vB`@;rzKW?K22}YoJ({^w zCOI~rp-M>{UGgm4r-7gFL137SYG)qC&607u@&!@G9p0k(NlyjSQi&>KZQ+Sk6 zYU#Ed5qSZI2*)4Y)>jAA$q;?kgdseCjgH)tu6Rdg0;Kn`lAR2je5eGTiRUL6h)U!} zhSx3NR}OUbqAwzYOHE8%lBA!!T|mpZZ5NyDu7ZVEOENQK zphfcKp?6ma$;s+yg?U|ceT^Ksl{hl0x8Q`bT^KVgc>F7#@Avw*&;sMJnnSaIy=v0- ztaa8gQq8+w8nFgqjz~-fnEV3KFTx={N*CA~nS-3BuV9ny*_CZ(O_E|c*pahcP-Rbxc^K4nE~tT5?d78ANgzk z7+0}-^bR7E-xY5*|JLNJ-Z07gAAMVzvJCt0?Z+(FFoiv4#P#NXnXkHGX_{IB0H zOca4pMar{WQY`)@G9*KP3YJ#>6Zx8$2lF|ti;)}#&y5Zu3w=B07b7)gN3C|1p2WBc z$>2^T9R8@(1)>Fx#<>gsDHu!0k3;UsW0&}DM8co;=^V#w{^+VNvM%}PMvS7*&fIJn z553YeeXrAW1?qSx?1Eaz*!p_Ih=@7NC8#Xt>S$=`IDKw|zn{mzM=}S% zN4=Hpe8FL_JL53k_U{}TgmvK6`Z;c)b4O8MQ!K12ppY=Piw*5l7kYRvu0<2KASAB*ecUS?x`zvHwX=_g zi+#!sa$6b~N$LIKtuRCnefY?xVBXvI+H!0Z06{lpo|W8j0Np2L(UhyE zpi|>6c_vjT*_I~+H;CQ6@La~fnxc&Re@{K!G-v?sFcE`Ri-OO_*>&1|Hd~eJT5)-q z2CM!%zjt%)hkV1pbU<@9ZNzNFN>tUU`<_E1;bDP&R)1Rg1ZR@O5y~{1(nyaM-S9=# zcy78-bmv64!0sZ39}bV)pM-dcNn=`R{i>zPp(wjW=Zi^(05oH19P)=iUGlz1YDDH$ zx(D}IOI)SX<$0%1197&1w&@xB3GuslG6#cigzX19!Sg>OjbGgPCG>~8)Q>=vtUM&eNu}C93%*VuPZ2Jg6+xg+eJw`!oT69hjlZ}JT$SjrrzkY=G!7YmK4_gMYxi# z){3IobduLXNe4(g-xy<;jxK5WNf^{BJ8*uxiiWdvBUO@g@=G)PaXXz)!sI@f}7^LBnc z!tT!NR>Cb+MKP=kGF2bJShs@5Hs?oHP6m!G{HEI$hP$>|LX^WXwQd^Y!>c(kI^M(Y z1uXvb`XO*wB)?GyF*o-feCTV}O*h!2U9C`FWhITtgHi%jz-U>j4O;u~Tx}qA5BEYI zz4b)+aW>Re8U(B2eEJMSU9Lkt-j4(9?rr0fL^M*qQ8&=yG3D97){qyvx$-MPa52RW z#Tp+M9OBC$j5J?7Js?tr)_n+=R@+KLz#S zy*}uyr;`*Pw^7r_6wRxIKe6=>9?ge`cyutZ3r~3=t>p9E%rPpwy!{ubQ7o;Qw+bPR zF%(LXI31GxgO3*B($a`gAxTl?k|IaX&DSc8*pX@K5#N0EjX*hBE3Fw8rb%I}T$I#D z1l+LxV$o9kG=?998}+M+!a44ZE#^Pd>aZ++a^m3T()HoIV89%{bhEe&zcrU95wQuF zf;+dhHugOg^r33pMPqW1Il#5~V{s(-hM(A1u>DNG+RueM0?Rx+B zJVp}BOsCO>*L;BQwl~!+MZ>d+gCk$+ z_~Vg)t4DMcfg*5p|JECiR%L$Mx8uD?^G)N^hF#f#&zi#84M+AN?i%`tqqCH7cWD3A zZ}~YT0fHQ@8PM{v@7m05s7ERp_VnW}04BEq%kh9<4`=~8hhGpN#9shHS$Sr+4}ALc zMWs))2pcHfiEO{|gK1VudFAZ;g7AKLC)efvm?k@HL9TMFY_dvy;Ywr5x8;8g?8|nf zrztq@SPE-{y-HFK*wo_{O@8}vnUjQ1oFb!dfKlWZJ{ttoxdq5O6^J=udb0gc;CZS1&UN7!Np^;4-Q-$eY&iw+lE{-3Bf=8OOCy^u^%7 zV0Mv2Qp`_MDJ`LVLAV|FJf;VkEoutp zV@1bqJN4kVJ|kR%#S zIWC`EaUWq{K6NPHN?WL-KD0g8PB(mYh_p4Tz`$ zPn?cAnuPuRqi6Uz1f()lTqM;oI7~oWEYVX{FY8 z;xxA4wF4WyOR@?NSlh>{CjYTeAUxHUf;6}0h!N%(xb$Vv7vcwc!V#jR!b!)zU;&NS zd2qnCe^CqoqNYb^6aNI#HA8K1K<%>T;o8DTP{E6($Scb@;lV1jN0s_;*V&X>9angK0brA26xM-6;2SHn~+r+>YU`_z}&b=9)VBzg18*jG@KL zNbD#K}YVGs7L}QyRN(3*hiIlI#>&bnb1s3`%1q2xRNStQ}+@?MC0xv07 zLq1Qs`o~iY=6rzvm1EQbM5n^vOfl3{20Pln3Waw;?|sI6-@ew1d~l=Z{_UXqlVBTn z3=`7pde!2s&Z?s;0S(S5!f!`DN4ttXNNYtcl+3?;>z{h;=IOt;n|!IZENkV!Q0ATh z_hxH;2D`m|-V(p$9(D<3x$$Qw4^NU~o_F~LyrrZLZ5IM)^v-YuJF9fOy-@-R3gXLk z^66)m@__G?-TZEa#S3F8l;Y9mavGOe4{te73)I~g1Zyeqfqw}|n)NEK#AV6*@27rH z`c&AobC$lU?G`yRsdYsXI7aRRHDE}Ax5V%u?PW>(BXwTQ;u__emDX7CqT$Y9&g|Mu z4#JxX)GBn5uJXoCgs6NEzz42f#r{Kpo1@84!&fB|uFkZ{88ycxM1@jM16lt0=wDde z&^F*$R}aBl8^tJPmt)H6akq1?~Sf_P?AUSl7uVepv#<1gYb}J#YeReNGZmc zLN~#TfTY&ALm@TNcTZqH2~AhadTiCeO}N0PhibEmQY^c2OuMeD&trY&6|NJW!) zIBl=6^~FrkP4Xf21dYU2LL0&j)eVIF;IBK&wQ#iECE>twbPQs~lnEG7hZz|rQQFR4 zBkdSlxw{I1)Q!ZJ!EUS#K-0G}t9AGGb&J`lX@_caf;>||6Nef9g|vpeJ%QU&({ou< zKfviqe|!#RIvIX(36}f)_`Cm9&{$~%^vVy%gtjW?#0>2v^~^bw935hUS@GQ;jQneNwwIj5Q=A^)12VL*s>>2ej;V1(OzdudvltuoGJ& zafPv!8R+i@xchar(F!qAchs-(e%4Saz%V3&>ydQW`1L?dy?Xp4R4;F33WH~C%?y|2 zXA@F%gWuW&ZBCp6mrg$x%D+=bcyMPh%!}i77%-}!0lH=|{R7-3)VEn^^!%5*#kGsx)7bv$?f<47u~m$Lx@g*p z+nf0Bz}`THp6%BX!TXF)k(R6}N+Qff4~bm=*}WvN(Tv)ktl;H@2w)`QQtnc-C!*_g z!0!X`T>VBdulE11vA2$j>J8gQ>1L!uS`^8VP#UB|5D5uk=n$ob29ZX(1SF&t6r@8K zItGvqgPb8H6c|bx;d{p4yS{b)c+WcLFBW@dp1t=IcV72(8!vZN8C!drf+FyH)lIU5 z5+Byt2PD~(hyfm!Q;-)YJRzX6^JFL_CPM}U$*Hn66gGZ(H9nm%Ac4m z+$!@OBK-%S`#z-~pYe$8Ob@5<^(EtaNl99HCpF!X)s@o&Z)Kbt%E}db8U0)CdKa(a z%U?RfrtS0+Z5>QAguR$+j};54VMa1G83hmUveKS}jQl!{CL>qrNPI(+w|tJLj=}|A z;I}&x9~!w?2Ma1VU~9At#s~UPh88Oxv4!^q!q}rR1we?#)(r4I9y)HS%Wdg*TIae? z?;{hpo2~Sx6mmrFvc`$qFXk`?^+u+_(hLn@T`c;Q-AmA!w=v85*VKHIYUEsxLvn*} zRwrY}+j^H#Ez+#HQq_>l))=Dz^=TQ-;_7!S*Nv(gg=A7jw&Pa;uW?l)f zT0Ig(?P54g9D5q;%X2nFm9xBGX1Na^1<{Rr2+pU(q|}PW@33uRr~}xlkPppQZmJuq z9zhP+vqJT}d~Y{BBw0!Yb_2c9ZP7$;Vw(vre%9P~gXrk2qO|-(NYE3+iwE~FR+EEF zKFhHjzpTOQD1U?&Y8IsJC))6On4=|_G5z?lzQe1xUlMn2b)laM&t<X`Y)e=yWoZ*HpAd37PXuF8 zGq!kUDh(4qdV0gm|Af8PfQnd^RfUx6B?CAUHm-x0Qks)XYCgXc#tRdp$@)(|IZ(1bxqxy4fL;8MjvIY zB>1yz+sf3Dxp@4DuACrw-2M35xOGT^38!~O3(|gWXS7zRG8JqT5QyNoDRyr_oYzV~ zeo}WHKa!pKL(#W~T3$H@hMCy`UfQxc(r^NzTlGk`d_g3)nDHE$K^hjC{H74~xVom* zccg-mN87zLnH2yn@klGLrKGmw_rCJyO~4qoan`~(~dpJN4TR7t!gsOzOb%AgRJYyW3Lqz29$XL>q+?OcC$>Eb26X zh4`31-$)qDzMDb3M`U623RxWRz-;HSaBTFK9(nhZ<2|HssaxyAx4+R`G~38y=c(IA z)Hz5>67lz?+d4n^Y*?;m;u^v%4>DTU27NMuuvc*Y~|eW__Juy)MgMY*GNVcsV9StV-YSX~Xe8v@(|b8bqQsSa0rzWQNy z8wI?9e?vZZ<%+FKr4GB%bIke^Q-SBkBq}%Y3}VTgPW}_-_L%Wt2V<`)Nb8TL#uxT> z#KXhC8$4I!#r}*Sqv8bhcF-bf2wq3kz5aUfjOiCMbHBD$WK?e8the{E5w4io6Twgk z=U69u6KFEmup>9(jTMn+lRVM8QVrp-q4~ygHx~hIkb=#)s74uBXWVffHL zsvTu%&4V|`Qdm9`xv$2?`ox>@I$5PRf(FHapREIL&z%`?)_ByIEsVN&!*Bf{dNPDy zDyshue^+9fUH!q&>s|JeP2yemzC6B#aP}It;}<~Oizrt8MswX|zHU^(f-JedpTt#u z+`j(204NXe!c_jM#nTN)lFIxhY6I=fpK$IFHh`v4yz^v^?U>HSb@#WzH;=`0=7ojQ zkHaa6SWr4W4XW*-D}VKGt&g}D7CbEl1aqmW)UROb+JB$>pJ$e8E7~uZIS2#{OfN=2 znYAOk?_@9&S{cA;ZP;}svZo5=1f-SYA^ zDnis#a6nOE!9leYb7CVk-gW~Y9`|svDAMUx)>OpF6qkG@ox7I{om@(P05`k-^1ki4 zVNGB_LCu@3z7}aBR@2RPPuKHTu=G6(mq!xutWq=?7BBe3 zorPULF)%=3(YA?FL=zJe*z}H3#cZ7}5)?)Y!xt3@2nn}mrM-VgFk1L^$-N^~pkA3B z5amYL4ag*(7~K$R?2k+>t;3cmR;4o=!vL!j;941oJ{B7rWAV@}IoA*}>7svBchXJ6po7FZl9+V+%ylGbP;Ed3183%PO16WPFV%zCc*SDLO9p$x~8Nw#04w zD7-Kz=9Mo=zDbU_!ewbQ9WaS3;coYo>>wWw)Wc8os2da*)>q?;II@=`rp`K5Qgj{8 zW<0Uv zBGt$-fyd~mIoFmEo<|96G7KPwE|M2`^d#rS?^47$re&hc_)c0Hld&Nsi-c?aLAzI9 zI1yznCX>r3*3BQ#Nm0|%hM%1HwX_{hnlXtvP!L_K+`v1jy9n&$wGtH<6MDxqJf{8IXFE0n(QvUr0!WhL6)oG`;P zBsWs}FilLn%b~OOE%gxLq&>vst`JOOL`6b8$CzFioXrFV*eKfKY{~ z=sBpQZ=4&ESlE*PN}%h^*X&h*pXBkj(=E#_VpP(c(dT?7%RD4(S^v*ARj2@DJBq9C zS5T9e%-XFFh4I!4`~{0dg#>%TI&Z=(rjkXiKfn8mw=P@Dhgf5kaSWKu0RdtIk zrD_JIUV1+8*nHFD_M^Nl%*;a-6#|IdAKlH&rd+?}7!3DAoLp|z43|BncmrmKAc;7g zn>Fb*+(mS=LcqjMpipyG5w;oj`Cq3al$qHq_35DKaJv-iUTX)!0 zQc?<|pP?5pGFh_6V+c<7tfP={n_ClK@i_%aq%C*A^U=`q(V?}nMY9@EZfMfM4g#2I zwmeCygVL#+Zw5rKzz@dn^^v$%ul(jt*k!+8D}XIL1`*-DhWM8)3q#97%tjHny@kVR zM)zv0Uj|w*PWcdB4|T9T`2Jak;hq)=8F(~N@Mv_yrw8lr>%W)&7}DK6UI)jEz2I$h0>{9W?CT+G$oj}59kcym}%j|@6j z;d1!{V`KB(h`YpmE{dfKEq65>zna?TRd<-ObM~^yy}pIEgu!i~-m?WcXOGX-cUp(1 z7f3=9Cd8}}HMFWop&9kLbMtltRYj&6Ig~b)J@Aj7K$><=GvE~49k`vpI4m~il~j^d zQo?(2Iu_hOs!Qi4ZOri1$`R0+U7NRsq;GmN>$tx5TZeNe6i}0~#f^QlzT9H~XdBEM zXe02)B8axzFG6vHGC}x^=TBm9{Ho0E(vHqorga~{qQE)6a1D*G&%%R<@N95)&TD`; zE(}TjM0>7bnL^}%$p7{2;|d@PQt!j^%UuVYX!dc|-`_ykq^HRYhkXDO)ynoh zNB8F@uNDii#N~?~r@Cdgi7T}4;j6Pf+FJhoW$rX&FO-J(m1CqJNf&gsUz&yC; zP!_ucDihIZmwi9hmJN-)>c}3z6&CzXY6|4)@@I^y+S95`?bs@@3>j}z)E2z6I{(bM zbu3{?Vm2)~0=7h0Y%X_^*U;RvB!aH5^OquC3RJz`_O3SQvHEqcp)(teh^FdcmM~)j zHH$1OFM4f`e%rMk4XLph$rm(IKjD$PcejXjZjRKQRvH%kD(w~3JHBW2i|u=TEDedG zEDWs&qcWNIoYEf#Eq^T#C(O8_vy*1-!F_`&8!^gr&RC;(blz9lksxN~O>lC)(u_Qx zTMGab6|>_9{Y(cJ#jg^l#q9!la>Z5i?Qi?bKg?aVMC&cusD#NyFC|iJMzud zen!W1AD#=DG|Y$0<~B$0lxF(Vp3>bD!bRa>_56OCdh!aXpYp9{0oojMY#?;7F~vu- zy)P~^HpFj0>HZPM@O@s=%t6OfSJ&*0Ip9PIcmwvV79U{3(UPt8BNWi7`T7kI+^w@u zs8xq)MLDsSNO+m$B`PP=)p48=ZFP28Zysr60-)7K-rWX)M2;W5WNr#-?^bf!RPX&J z*COJf@N6b_*X0Dyt_f!6Xme_e;gi*0+sIVD`eFUb${>%jSG_kk;4T_XWL@_vy&TR{ zskaAuO1c+@_ePsn-)_(|hMqrSkMTU(A-(c4hR^u5a|sv8u5xrraYzoOVL5B~fQE9o zC1#Kn=&YV_{S{bawydly@nO`5MON2#nJ6T9FUl`i0>Q2OaE2UtO zX~){pgTO@o{Zsa($qV6R=N_NA8&65~%r%{gkbsY8qWtdc(&eV*m6C@??Rjn;v{7@D zv61e<;8VVxUvP;JtAzzcbWZPiBy~KIj}o~nK>=mmw@0>XST@YN0tqxQpL40r^17|J zW|LB`-{>4zCWK1FpFJN*WIcDAvcM0qAeN$}L{v6Fe-=yK;tuc56|@CQC$IjV4RgNJ zkraHf!m%+^_i@CCUB;&zJ?+>2@U;_6o{g8>;IUqB4E={`n#SO&JRRk56y1u)dS;-Z zL{620_$Gh$$~)<7Uu{A_7SqiLR!iSx<~+S{RiF~lEzYpm_x6iRtSmP|P@`*A;!QzO zZKUWG+qBeRX~pm@X{~wp=PXldAKbg?);54s0-mQ`?LFafiWaog!^tyD>&sxW+jyQ~ z!G7$6>U(k=inx~`jP|Si)ppJOYFjDcD}U|}_L$c{I-&O`mwbFd*q>y{6R2@4eU90a zPy0uJwF;qLPtBzNp{1gG$#sagIuPFSC6bF@uwTmIJF~(C&f*vKke(SZhC){{(gl=3 z0FR(}B5bZB_{y9md%&}F9N-rwL|J-v#NwIs;lEtV;0SCPsqHB>deG4CwbYpu*A_{YflpNN_clYqfQm#(9jteuRw3>-joHNZpZ6cy&kZv1iDF zg$MG>s@0LFX5oq}{;Y{XFi@JRV0wcAdy)AZs>!p)WA#A}yqi?=8085hB97pLu5Lz( z+r}Pmwox0QLO+LK&XT7kKKM+V7c=GFf*Ug zz}oeZ!vIFj^@bnUB%VecxK+DX0}w!BJ@8T;HWx&`q74YS)@oiq#m$Y(q8?sR_-b>E zi@zTEqzibxV5o;+sBe$%_wKI_xyZ=74(m7^mIAW1X7zepCL#wZ^>pv@@6)+9+0S9F zS2}8s%Y;N+*f%6em^|}NMRELgUViyOQ?=MvQk?fct7nw;33c88&a)q|vCuoSI2K(M zU;t7BKB-sOAX!M__NOVcJIar6h}iLq+;Fhfbm%qz|CGneEU|DbWFM>@hdGL*=*UNgvKveA<*~H>)U*H<- zxL=6XNy(c}4UNf=vT1SQqMDg-@4ya|4qTJnC8W#p_tZ!7F`!P0 z9_yM|1fAO7ym=EGH{2~&*Ijl`#A$DFL%Hp7CY&2_=vbz%E_3v<;9TX)udnEa-Vc}m zvomWWYypcdM0Qt!HTYt0W2%Y+>u60n^h5KDTeCqLVymCO9wH%Fk{9Uw#PIo*Ko0+7 zHll2{grG9480SuCj|0?+z2Kehqjp%^&wdNY0)q(STaokChV%9eY(Q=uPHW&ny|EJ& zQKCygJb9pBH|enx9{L_b*k@^zXNlc9?b`2mmI0~dXY;T@G2oltu=>7~1H% zB%rxPbDK(0+)mwR0p*`(>=B0VbFZ{0Ej z6iiTeMwD*oMtql028>!NW$*REhH4W5IV!1Z(<+0R!D(d+M#?*Mj;gp$&m!$tWg#_O^o z?e1s4IuKh_ibjJwaJ<;yqPTvyUp)IhV6nsEU}uPkD8%Yw6thGA9`EbtRt?>HSiDL% z6Tv4gs1cpMh_&(~7LT@OXs0ZL<=Rh{$#eYIvP^1h2rn)!c0p8TCF^Nk*TpHAbu*FP zCWY5CCg+lZeQ471`7D>KZD2(tpBZJ+fZ61KR)1YZMP(7-?P^GY;d_|2%}@{Uo-dDP zo`N;VywLtwZ)@WG%2gf~?9_Va%=h{F7FPJK%{U#!37tk#FxyP6UY;*p_1R~bugQOn z-NQrD12mO=^r^6$R`?d^A^4_LuY(3}RGC46crofeh0r3A{B3OhiIlu9X0Ic$!p z)f2I*H2CE77BBR$ppMJ}+=DlYps`Tbk-To0(Y|kqNAjG)dB_-M8W~X{ZnCBi_RwcA z9+`kP{VJ{^wL*2>1#k`Lwz_T7(*4KzUiflRfQL~Eo70U=nD(&cfZe~}BG7>#I8`n7 z(bR28=4^Qc?!ifeinL*?oEiMQIwWQ@BqV-=Dd;kh1k2c`0)9G;=#)mqh7H|PbbsB2 zVFy>c6~Sf6;Gv3~MbVrbW0Tkul92`QawXB=VTE(FGt9b{(x?4Vh<+;G0_@I{1$U?w zc=miu3Whbpl^&~s0a}N`Zj@1>NI;%LDLNKF%w1>eNwE^{H}$GN$EtA^)whOla&q#$ zjrU16czHfg~JjKIRRB%i~t5S{%@hd9E08&Zdm=!%Cl(=)}+QItR7pe7}aKJac4A`?(03-2k zFQX+wUD6M|U7#3Vu5ksN7N6h)Qr8*-b*a0v(UmI>TEhjLEd@-tK|#@wRP0$P(Eylj zfco7(IGAV)@I7zKrxqaFnf>gveQfdI!2{>N3j@b2A%f+@c-!mfXGe5`I|RnYRq(ZsQY zet2J3MNCXgx?oHp9!1A=Q)Zk-t(w3@^6ly=r zX;h@62QkM@8Wn5x~5=z8#t)d|kLy{<7ZbT@q z2bO-G|7-am6>u~y+Fn=#;&>ykEWuvkJrFQXijSu_mm|!A_-#$snAABWP%3}h-bdi# z6LE5Kb_R+Q$BN}=WDU=|RN1msvgjWzY{TowVyW34L;(sTB@(^Y4u+9{>OBXD^-K|4 zB24?aYj)^M5H7RX|2c31Zr~0Ovrj_p84gN6=Eb_qHOv4D$(IB8-Z62|=KjDBJbjz+ zvP`6*23B$#0zmNBT%Bz3k`KvfU~; zwK)&a(@gh+TF1na0`e-lC3C5?)Xg-EoJSaX3CLIjl|cb5x^Mc1lqWvJd- z8tTRh9G{x!-|7$o0kKHQXPk)?s<&ZbZ*8Ft2l9MLHO$O%@Ik0-6;kLnA_r;sH4SXS z=gEtcjOkv2eC3&US7&mI%K=C<8L+~TiH#VR*+3*Zuj&1F zod{gF(o}CoCHpAoMxzaZ^sh(V`1jKHZhWO9SKmq)HHwlaSC_wtI}7`{HpzsU<^ zfb>noVW`U~Z#^|z&JHEt%&Vh?>3*w|Q>hz3C}V}N8HYy#viO5()Mh7C@h0@f^uLY} zk6#fq%2!{5@~y*XZbkQ~N_+lWQA6+|;q)+DcciZjDvkBu1ANB5h*TvqK~N&9WoQXd zD}r&8z|SAk>yHZ6e{0_R?;UVSUCsG~h{(QT*d>T}L2K zy@m6Qo#?~-3I?ZkKTZ$!yXK%V6t_7IyMF5Ydd6YgA@Wf;Adc;elSN2}5(QvZZ>$yd zZ#NQnA#T~TdnHa@RDhlJ_VuE8m^O<(R5|RQ6=a&cD313OV$5X^z7Ag1g&+&)X1+sC zE>o->`_ADeB7sw&qo0&dJ*p`HOlkBdFalN5Opc)a3jFy=O)W4jQ$CI2a%M!jw0wO1?YWH$1~_AtVLY?s0XwaQds>>X*o#-3J#+ z$Z1eSDQ;}8rT_g)3;tEAS(SBlF8a6Ewt+D~qC7~4J|X#cu)ik~G=`c)4N0MV{>h2w z>S1#V;NeD>2LA~jHt-m{2Y$(BCSmVVM0=k7Q=e?$t#QN!`}uj*tU~U;Qwm45VGr~n z7#oL$!EQB!lV6akE3`QRTz#(od;*8HOQ-=O-jDdlq%2;_uw%MTnJFK)DJ@I zIy#X3{e4{{BcL}}lD^m`4UCS?f8Lv33xP-guGopC|F#&*NF{@+s_F?)Y3^%TPnUuA z@6)`U8*!)oq&pVw50X!zp!)>XN?$_V7xxyBr9rD_r-NL^Pr7u@S%?3T#JLWPs00>? zFG{`got$9cOYSjPPt`o;sl9er|UPU?Sig9H_+F|Dn?Lz({hKC6NgROs}q#K z09!#xS=k+Qp;*fC9PRo!kSgN2rj2F$_JKCa&Na9ofdw47gp8WoPF9AvbIfQl^*#h5 z-VYu!gNM$=F6_wN7GyE^VVNE6soZhKN8o`=Zr6W<_c1@UI{WiWoMHt2Cr8Q?#my@1 zi;2IT|MIJ}o$JEOgM{<``EcMW@^=2?OEz~j>N*7W24F)T5kHbPgqbm93Iy8O~TJlP0X@>w$soE^o)|924{Et5RlGXzm@7_V54(HL`0?^2ZcqId!Idf z#w6uY<;u|@x$>pJnACPV!3Rk%^ie&e}5mi z)S6fo$yr%-r{MD})qOZl2|V*XY&`jIR$uqp0rC8Oa^+@~B|tOx-nND6m>O(#7d9UJ zj=x89Ce2=a*r+8-*Wp)C7#0x`QJ|Fp-I!~vq7*T3)^v6*r#DlwwpV%#YMaJeeBI8y zU2IzJSV1#J^o{;$!58B<0J_jh^GkP%s6(d1L|N4aDvU$|ILyB4eCWLn#2_zlJ6pa2m2j*Qdc=^jVuUY(*eWC13^Dfne37I zn-{B>WWd+ElWV;Z|0&XIK&kYQ@;UvJ6@P&)rrm_&GlRS}){?<~SJwm<8{ca4-#KOh zBU^F6XbSrXvCAAo(8yjLDH@Xie=dhrgx)~IUz<)J8@pg(EQBaxzXBW{_M0qS#mjxF z{|PA$FlO@G&4@Itqs{d@4t!q3TZDBhLcxQErruq>{cq9c!GDUe*~NnYEDB4YK8osx z!|(dCRsJ*Hu|G@%hrIxVfgp4No|8AWGsOABC zAh^TB5Uj-hf9<-2-GE~&fFlQ#8lb9PW^d0mu3)RrvfbKalBo`Bz@e$x+4Yk>0c}NU zY`;KIpfZevY!*HG`3E^>vck+Ac*@+sFh+la10!4{;K*4!Pu9Om*3!Vh$SCrj(lj0NHTm&T zej*UQbdO*h|->My57%V>9wHe#N1~Y?-DhHE{)IVY^Sjmt z4&`>i6^PK49kCCF5)u~`78YXIqm1q#0%(IwBx{#=7mNvyflvAcv`Uf#zQSH0l4cH7oG7d#|?Y z#^9hJdbW4%W8RBTLROusVw0_~x&GJOE-!+#)V{8L43J!S`&l3z-K(W+;w!bHxe{jdOl^?aMNMr?JL?xvJ-jt zr(75ORuYcn_PV{(wCDHQiNVt}ooft*X!V;EN9X5bd(s>P0>!-*ker{N1hg3qGLlj` ziCu0>zXRx()}HXTR6pL zw|%y`B<3&7&ZH-?4k_^K11`8~PYA2z?*9~X7_KIi1x+`~&4c@e2#rK+c(%ZsEn!MY z#^%n0UV_8tvpb%$NSQx%3erf8VP|8(m*0#smqVV8=1BRSZ#Qnsld-tnl}%Sd=`TJ^ z$ zYqpNT|DG;(h5K%wgNF(Sc!Na{v97Th?jpQ`J{Pm5L76TR7A=Yr1_P{=PkrAqAq=am zpC6Z`UvrbJYCC${)^va}llEGo)8C0gk#DAcrOX2X#3PX^&I9Cp%HsMeh&wkzTKOBC zXKdoscmF!Z;7c@@g8^rjSrY3>w%P8LeRm^v3`X6igQ|Qek#z}=2Q9k+!n_mJcCSkaw)YJKW%dGiVD|q zD}=NY3qBes8HlFl7PcRxi)WLWd|NY1B!`^@jVw%z^|dO2pRd-_)6*R~+ca zF*Wt>{ls?8X2Tk5BoWKI)rZl3Q}lIbX;q!sysGgMx)8d{y`*51jIT6%(xw(q=TX0? z{3}~8=UJ$n2KPS~f#w!FX4m6mckk_9w5<~G8G%@t5`aE=w|nskQRcA_6XbxvU?}~d zWXNJcDt>VL?ThTS#l%VhIXU#-fpmOg>-f9Ch?Ht*g$@nw=lK8S>yJ+qChH;5)C$jk zs-}*G+sHT`D9J7Qi)rhe$nWli;*sr_>^ZnYX51z5<(r8ARdg0`Hq-ytyU7eC8Y@2t$nP ze1v)bFl<;PBt(4bAa)fx+zEBf&1X?lZOvzaNb^~}GzXw(e5_TsxoAd1$IB3H_18sO zb#!UpEn_MlKWBd`zrJVl(R+|}zvzXWNbx#6PR{4D2(}1lCvLr@gSq9YX@yMf14UYs z=>7Y9DLqD__3|aE%)!9^sbAXl`+T>EM zngLqXal8|1(|6pn$!F@u*)Y@! zT}KA|1QqIz-1_m$!ug^21f%K(R&6oQU&>tsM90R0ll)Kv?i4D)9BC(YW|MKfnL6>z zKYZyT{Z6OeE#yO4U!6Y(0g;}jqODo*WMnp}dZMgv(1_FMeVfs%-494RqQo3C(_^+v z>RMfSOZ=rN3T3?_zjpAQvC4ZFdEo`=1nZTO>b*_M(#qY(5fU0fJ|~h_?0)a9^-0Af zvqa|ft)`Pk)7Sf(Jmx9a0T%8opyijf{X+8%hQ56s1>O3Y9 zsDE79e)e2uf4ONte2iK&S4*q%<8bx}mPg}C*#Dbd3W>xhp}WOqSyg+j1e3J#CD+Ba zTX31T*G$^3+UR`^2%IU!9*@3vGtEG!3w-Ih`narRBncl8g~+$IMmhvtG$dom%?-Vt zsv|uBarWcJa&v4u{j|NvW3Jy)_@VCyY_{!@*O+8I0;R%tL+_&X;(vYT>%0i~F!YYa zl@ETIo=L+g--$rkwjQcH#8Hpt%U`5$Q@i7R_FzZKQjL zpnu|r-dErJ!mV!>U3lDzrLC)y`uen|=R62rKb&l+_2NDP6$&kr)fQc*d?gVyuOXFL zAPm=}O?_bcbuo3lFVxgOb6Sb9dvmy-gbmsoKb03eMpu=Ncb|ovL2&w3J!{(DPP(;y z(3m2`l7riYLZ&WD<dS9r`Vjtf4xr~i{Wj28R2ghjttw( zD-+s57eq5VZXzyIGAt^ZuRIN@M8DPi6K!hqI*4nQ%rpv19Zv6VLKQ*p-da756W3V% zk)Ip_-;-y=)CIh5Y%OX;u?q;-D3F!m9B$7|F~nOHlKaeC4?SS8vg#tAH2r|IcQcZ| zRu-|>G&A=3mf;u;U~U3!3h9xvm4e@Q&?b9PEDr<`4d%fXn7>KZ~57gm^G#xxg@$D4X!+AJMzRy28kQI-N;%hmx$%Zl`iA zzSVh>sqdx*!@Q$TCC#fD*@v2Y%6|UoLRdOYzPlRc;FMoR$}u}VAdl&E4;Gi6DoR0S`gJN zw8&m;=pfg;FOkiuWlh&^hBs#@+K)npy@phx#a3i9D`{eH-~EV`Ug+Mqc*KqEV(Q{} zitR!Ll0fkQ*0_LSRQjHnPDncOU}>Md>iuDNvaq?3>LKVHSo7DAnFvhBl3h1kG<)dV zuYJGKy%zz!wbyu+2j|!AKZvr#00ErG-0kp4cgJ)0Jbixsar6f)BRxyFR^Z0te1J%h zsRDc)*Xi^b-X$o0k#=8J+0?;yL&Jujz^3j0|GBe)!}@=_`u?cI2C=z%=J8H~SyK9a VZpnp5fiA^3nyNY~l}c7&{|5*Q%o_jz literal 0 HcmV?d00001 diff --git a/Sugarcane Leaf Disease Detection/Images/Confusion Matrix.png b/Sugarcane Leaf Disease Detection/Images/Confusion Matrix.png new file mode 100644 index 0000000000000000000000000000000000000000..fd3e24c55ba4b022a86d171f74cc61c160b3eacc GIT binary patch literal 27815 zcmZ^LbyyW$yEhhyfINsugGzUUv@g0-Q5k}8o>8F z@A;euiN(#!Cz#uQOm%OTUIhc zuMzUP2$sQ%yLzuAULhb91fra2-2<+gtA2SXUmomNLfzHSHit*{w zmnVmt40jMwgMxzoahUeP)}E+#7z}m@4G$-)vRw~JdgIq7E5%Dz<8&DD8H+}xY(Y{` z&=ZxIZ%nSA)!6Z~0#_g*H~Hz|X5^&nY3GR3uOSV%iTgw_iI8}Gm+#S${qbC=ly-yr zy}@|+;d zSoNQlO*m$&I?RX56l#l5Ddc=bwgvYb!e%tsQfe|vN=4NwcXsOALou#MYL% z?09dWR2&!Co6nDfr=~Pzhx<(D;<)XiySZJ@%H=Yo8{`^Ur42OYP6}Mn&rg2(VRM{5 zB;ujWR>)3ZrpA%{D&6` z%<1P{Vl**4_Wl%+Q0<;?uL|{lKUXd_juMZ3@tdIUyOw~}X-hE4d~VqU^R0J{3ms7` zI&EQ8X|PI}RMCZ9HdMkF=Jj_gz}OV=dqOwYN|C@iStk-ozObqvR>L5T7_s;orc3amh6|l?^y6^ zKBa}iqU!I@gDl-VBs%R8Y|jK^5GxuyklG{YU^&T6a(7A|WHg9-=q~rB&Zj51GRqfo zZ&vsDYvrg_l~y0k_$_>m?Rhze>aF7CL$qBDMCXJKKnb1-Ta(-wV^%fAR_ z06nqmQDWvJE>4Q9>b+jEo!>&lQ3yF2hjmNmDYK~Ql5vLA8FyfS=O+G)#bh_+ZoNmS#=1!Q23M3Kju4L!8^-1xYT+j`xIWDJ? zcU*2YqNm+HJ>9H}IZcO^nd;RcBG}&nqeZWHWNt0uoI{1I-&8VJ&fuO{qpw0!@l2{# zvqnez?&$ww6x$cONrx^gk08)&*Wne+13vR3Op~#DJfe#M=Pur zqp6d;JCTT;dn)%CM(CV7*@nLUlX)pwL%jC^&0M9Xzb)rN+!3z-wGScp16MerWUlyN zmVCSC534Hg{oVb=n%MyEx$S0Rj%ihze2y`5kK<#6>y<4zoC*ySZ|mZVH(lz-o=nvW zOL7E*Evw%8MO5Yy-ke+FjSA|zs78?%$#1`iKkY+c)o%Hx@8`;AM1k}86RV{|MXrZZ zjZwA|+;`G!sr2&mIGbqm=dvN}JB6f8vBK_*BMahG`7B8eYQ=K1V1N zb){l`-~GLn*1+my-XB;5CqADTLCbEh8nd7MlJ?qRx055r+?M`axtMEtjauPk-x}8V zjfHk)GS77|wud?aQG2~@fXtXxH9@Q@sP6K@i6t8bSI>QHSZ;H{9mnrO({*|>xis|K zRQtSaWk{vUHrIg`p*{xM0Q!scq-6K|z6JBD>fe)~c(G)xgcgXGVx8n2+T}mM`*1^hz)EF=Vu?91K4I)3l&l8PB*xBt(H2p&WHDK*4cAa zO0sO4G>Y*RC_J3cwwrf`^%A0}lj$jvKOCu)8XFLXbKvRP9OS#A*J!B9Us|V?dJDwe z$_+IuhH;+$_%kA(GromaY{OpEr9QZ^7~A8PiK$|pliuY$XsS(EmpMt3u5kxp?4#!W zIRU&b>*{DkW)5EFPpARs3kHlr&qA0T_tg~Go zi89aN_fW@r;}NGY9Bb_#PcM|rVr|1-7(mkheaR3p5AiLU*2(cmTy}$qz}K!b-boqO zifPm|$GY;QB7ZQkP27vS=m$@wJz_%@aQ7#ZZYc>=v1dZ(khbLkF8xb-r^KJ9F<^(~76(Aa`fqY^?9jdq2_Ds*ngrbi!QKn>rS852#Y zy7`Ag(z7ni&eQ9I7VewpWw~tVvp>bTjes!cl`Xv(pnJ#t83Mvf)8Wub9&gS22naz& zD&tm7R8p+?GU=|0pjX_k{z{Se3#l?yS!2@g>Rb-f%>5OK!`J_Vk=Hw9IS@De1CB<7 zzCUH?TEA_pSaj>^g%oR(L(=uXpAHe+>XI+%ChSDKD*#SC)_b-<-CvP>eIf*pt4m?$ z(d$7CbE>5QEvwa(ip)>H`bc(u3>>|*W5vIEVJWs7lWnRAUjErtgKqntl)^!^2HTz^ zBah2TaY|a63JkQz_2zQwmw6B>;h1!m)$NQX12|?-9sHYLr!thc$9QUA6NiwH4i^^} z+E3cg4=2qoCMvAbwRLoqg}`A)$e1$(m%D;RABQ}&)<;U_D;DEJeu|XdxC+9F1U_bRz2XZRj0z z5KZ3eIPPe)+gXB&-6Itwzee_A!6&0a?2GKy(9rPc(WCe4zu|DVWl4I)yx5Y(Gy4By zLi&sHnkVjk&NaY|8hqj`5xn&@hD)vcNN4)V^45r;QG3n7MZbXPW8d$k)s0420yWXT zrSjPdtqYwopa+n&J|%)vcIl+h*;mI8zY_PxACXy6SW#cfHie*i|Q_DY}U%i z%FfRQ@<)IUhB@t|2TeWAgo`LwX_@i>#Yu4qQeTbq}E`G_LqtTq>K#W05Oaae>(bO@hQ^s(Zuyzw~p>fISHy^AQ zIxjy`F4nAV`uS72tbT}q)463Er!&;W=}^hZjis6hl>?9}fLwxTb30+y=RX{F7g{rA z({p%_`*?>2!_$eYdp+x%^71L}aB0v5V%S3u##k7?onY%Vm??;0J0xjUcJK}izM*Mgz`hWM9ALw3O)6LALXwu`xG!Hz8>1rNi{J0<**R69<~L~FlRw-uPx&XzjtEa$fqKHFiYQlsrXF}9a=pS80&=*W~Q zb#`zlKb`G8-&VI=96uD5lMA!CyC#>bVzb5}!>-#_dD7PYcdFbDnZxa(HiB#G=Ubf&)l`8j~%zz|vzz78h6L0Rre^l;v4 zK$5Apw^&^|qadXeZhOK&8e{iU)LEu*jsFot0fl7iIvqoJe=#bjGtaw6lBvR$hLx%c zHN~@EA9F?t52X^$%t*Ecm@pOE9nw40!ZjT7G|Yy#7FC)z8OKj+zh#hoQ_Pcj^T5K3 zG(q;;%Ue_$V4ysFH3r0wq!f@aJ+EQ7Ku(H;l7di)c2Xs z7Y;tB`n5!QY(|)TI2Ab@#c%%>TtvFf`XPNSC?cBLNFg^UltM~4aN>M!0k#zv z&v6$4ZZmUa5yjz@raF<5DVHNRT+kdp70ghPbpSSudZUJ|#RNFJNoxq1F3^FLLsmMKfdk6`gC=BQ!2_{s& z7Zu*qwItiUm*)nSll8=@lTNa!n)aX0YB$7NI$JuzX1CLIMr&u8EzgK$NDJNib5wiB z5H}y7poCg3s>TUb1+%cQ9 zka6AmnLx%%B5TO`dTL?3KsTgqozAE|PEmt;d=iI&$?5Xcb(ic|>!VRz0f*yUb4Wxy z`TFMS(`LfDs)XvxJnOYywLIhDHm)}Qd7pcEva+(I2Q3)Nm2-B=<(jqDPIF9{bADLu zbsxgcy(Eo$Hrm3%v<>V=>2_9vI8t33y>(?o^)oI5eh+kn5kD!H6calg-H|*$-3$8F znHLlgS1Ft^i&juq=<;#(&1gzvkHKJs)B1U7b{OT%xNn7eHqJ^@$Xc#ugS+KS6Ef$F zy}KQ|i;Tsa#w2yBpTm39R2LcEBxf$1NAyu=wn7z!t~w4gh70mJo0Z$ptXZG^d53#)lD)9~`=6bWc80cHsl!kcCRi?s zCPkcaQhrU>6C51v+g1ENuM;%0oC03V`|94wmq(3bMSTc3bM5g0KBx6k&|^B4ep-T@ zaa+fG&=R5~6i*!4w5z82sJqNUglFoR~@IH=G(T*jMkMU^Xg7@4lgbhP~*U+ zOMQB<9*T@fE(|gCNDbFuK;p%KLXaX1hLSbFOJ{EnEIw`+vu`;v_WP1n+D=1S0R{$! zOr9!dk!mNO&206Pg5 zcV8$D@Bu9LBM|_kzBGw$??yhClNLXQT1p^1lx03$u?Kh$p-yWDR?4_IXuANj4;}KD z1}&pU=RfjtlQc0CPU{1^qJK8KP%6F0!{;^3= zz<}ECqi{fA(S`{|`(+*z6BDE_w3l1VYS+8ndW4Ow_j=lg*p-q(s_-trRc>nFOxO(S z#=jobo~&f+78uHB%8+rIPq`^~1H4+FUrs>0fHXl6WPBqRGNhnV27 zfLn2XFnWb9f#4D?LJ5S#nhJGh@Q$@rY>H^zE>M848``Tdhp)6vr0VO#bm#qR(Lv<8y zpwomr6Y!2TX$~L^4dgpnGCQ?)2YujHXD;|6GO>%W6FO>nd0AJ>NUv`n)h2j#?Q{C-4VfD&C8I8nX(Q>Ezj!T%XJE9w=OQP*$n1;gTsVDOl;Su}xWKraw* zuKuKIDZgx`Xm!?oLO&tE2;^W-|{shv=nQ1j5p*A z`}&m<$dK%jczhN!O_TIYImE>LuBwoLDilZ*?(dJf`ef*eB)J++*1Gi8!QodQ!E)~# zBA2~)Q7n1^$ZmKK(j{VaO;`IfL#>y3Ui}IrW{8SftZO2D(&y@XPIP;xqa`!*I6K+QF@_ZvnMDP>%T)rMGXVGcC@)Y`1HlR9$-O& z{KD5%u}GD_XXAOn(NmHAg@8>oOFrASbbocI`)<=3k^R&ygMqAYR^va?hW#1O0O$<` z4O9Z4OM=4+3@eC%5a1IK&|=Xjgq@!r#+WExbqimHQ<-U@&FWy$IwZe-WT-mcU2F$N zf<)vt5G$Vp_#Dnqd-TJaZ1I{+mfhx2WI{zl3xDnPAkJjOBwuScE7|o3FX21&`;o}GdAmP~PKZ@$ih&(m!#y)I41L-#uT&^E_T60ij9cH1@WX{pqh_r$%r zk6jzs9k#2&p?4-S5Et{^4w8*hRt|}lWZaX#D{z=Z1Nhui^g;%v*)CnAs|iZa`8>8A z(jKl}-ppE41Fi1R&i1Pja&0gdfo+F4 z`IY|i@k+knw&%rxG;QyPgw(#izJo-;U>LUp6M&*QkhtssG^KtNY+hx?!_UE-jrjhZ z(I`;(cxPS*cnp>+{ZvNiU;g4>~j$84*Wy}Z5 zH@Y{SN^uZ0uipj`Pz|YCeJM7Zobab}Udc=cSmOEMJ8PW*H9r-odjZ@HX-?qG2oosYBRaA1@$^myYr*$Wo_tMHYi*BY;IE1UmJ_6a zOq~{IVBsu9=_2Ld6Cjk$z!X==Q>999-tldZa6!fgr?6N2pLrEu1Z*hZfPe^03dt5Q zadT?m>19TWyKv5kFnZi5WiTjP4^c{6{U&pZ!E}4*a{O%{!!5S0qb;O=PaNoOX~OnF zgxL2vjZRJ)dpA!@zk&a39WI z-o0xqzT?AdQ~RwHTmf4^#0kbXEpMQGCtL9T4V8RWnDU(C<;D3`_iV8PSwy)=w-vyX z6rj$A09(-m2|WUIOe^q0T;Jt>0P+m`vCD5~H z_zu9gC8MHRPO2oGxTtZ`S_l$DolUC@@N%jsIuhTp%K?Y1$RpGBXH9A?pL z>E^%C13mm-&lep;m471qs1_-u9P(%`|ZEi_+bh~=oD*k_t|}%8|D^#?kT+Ejk$fEjqZ_F)n$4&U?ChOYr>7fL zQk8a_^d_UF;agiWss7S3-3plkoFW1PlTIub;=?7z4a8eH1vKP zh>AsbpU6*&sc2Hsn4el`CZyBCM>3Xq;5C~6cOgfW=p6MD85LEBaKSfNp>6V6Ksc0` zvvW^eXJ%p1X-rs65h>D@sT9YBEam>HoLT}t>#3v_j2#_(j+{snSebAPzM1Y13e_FJ z5b|aLiWQyy;gt$7j;>21K(-=p{c*J71yy~4T$u|ii#I6{3Q#IL;&(YLwcdW6sZ{Y< zE|0)u-HXFy%t^-e!X+Km;d_Dc$rkp|o8Acmf&52DEFli!7=Ll&IDVei+y z%HsUFm+vnu2T0@StYd(QRJ?5CRb zcd1C-mon3B_()Bm={mK6xdSFL8cNZ@kC+uXT51l~oTp|Ng_0xHJQ5S;XX6)_S;8Jm zGlLk($r>#-Xw}PK&Pc`wsd3v1cMNt8Vz{9-NHe%_=(Ig%5tGOd zKO3{^ZUtJaQJ!uVCZ(GIhL-P(>kJmrbiLj5F-?-qSru|m_fwWTr5lPcTI!h=s0-(G=;14%hc%%o}Mj!^iLzR*imI&i2h)^2BoaVZlD$g}x_9 za5!t%Tdr*7OMRed^I*c}Ih8#1<3RJfbuuzp=C>-6bg8JYv7QOdNX8h+^Eto>D{>9U zj$Nl84m-Sf^}x$V*!*n1y-HK`N7{JQ0b04U0 z!|CP@y-+%sUjy|sMxKkxkU9LU&IO_xrUnG$4oM2s~k6Iyzv=gREmYZ+%frxu9 z1lc05%6)f);IgRJ_t5@)K;klS-`DMk% zR?KF$qQwA&gAaUh5>@A&q{2k_+Os7_WZVWg&YLxdDcY?eg|_P|$H2Cbi0sMEucbDt z*^daLgAH=+oRupSZqBH*)_yS}yMrBIM0Uzvl^@PyG>hS&yXFW~Y~8~;(WK|q+^!?5 zSdFWBRgyr1Cn+%+VvqdQw{b7`@r3QDiA;(x#uaU~j{*EQqAGu3Lb z>k$!=DIpZaG6N!?xVU&2h$XZ_u^@<|aat{WrJo0+rqvS}a}MYl5G1*_UT)A-cjw8I zi8(;xXOZh5@KvlI4CP@w>t)j=MPy_`fGQsq5!KqZ1Fm4Z4P-=`SpAakAXEb>GFJD( zK)Rz9ge^!C;1?AJTuh)L^&0x}4E1=JOB>f{iT{OWJ;L#n2YQEKs6-5V6ypov>nnfP zyfyF|oHNG3X29?dfniU_9F7wsAX zB6)~!pMpaSamFfbvVl}C4-w@2nuBPbi=$b%5l{?@0-!PDa_fYmo~85QE%~Huz4bAS z4(-VIK$^sAHNH!zpP8ltNx*8U9Vr(gP`U~c zDQSJl^Vxtu4Hr%%^o`L8=}ei$0FfYiZ1({b-t>6;JtsPxO3a2HI}B78{DyzZ&F>0K zE}%4+_Xu|1Z4}|HCPuB{ItF9zsRk3~8&$h|izUOs_E+5CnvYbZyy5+qMsO_(?7Z}I zivQoVVs-oD|DqZpgZo#S%ryZbDqlgg75XoxQP#D5VWW5br>E$wjlfU^Z3K;p6n8^0 zhrl>p`XfwCD0CB&DB#lujf8B){D_VYajQ{)BIZZU>cTlD>;-=L~Y zr08j$-49@1~8kx zYK<8g5PcA`69rH2S+a+8p1T`S{v>yGn*`02cg3VKx~@n;GE7!-yy4UqhgWB zs>&AENN1}*Q&!hG5%I^TPxn{#gTc-(s;U}WvVSd(@Z2{~c_CE{dQcYVF7Q%bkj|3< zX2@z)eB!7IRrTS7Q!1Ejy?JWf!=)xMxK2vnHD9sBGdg|kxA4Iu`rEHp+|S+Jos5=t z%@_q4xuAAd!*DRipz=!`Gcz+m0=72aAiXY{m($?}+bG@xh`<46$1$3BZC_K>pN!Ij zd*}FoDD(x7%xEx&X}pyyO}Z*jES#DQtastve5W0>TDyCFQZZ5ObgmxMftLDjrGkE0`lX^+XZhdOAq`i-0TaAxe#;%Y4Tqc423^Sm zy*c@t64#j$zzM8w5eM@IsP z`AwsVpyN0Qkh|nLz5_)Ca!wIyw|<~78x7Lpf~6aL@-47uvk7<>puWVDma;Hpy zdi(L?M-Yh&hZip`=^Ok`^5QvND}o}R*JQoW4$3$@`yVm4yU)TiF)?Jex|M761ajGH_Y&HaN< zk#JT!G-8=QZPy?2TB~6&!p`1hM+AtI+M}f=md%8A!UI|IsixzVI~^?DEf?pfxg=n0 zoe3RKCve9Q(o^CXk}Uy2Q8(#R7pX#JTztGKUzabCPoQuh9pEmRP&gS1L4ZE;$F;%% ze!=z5UiD40+-gzMVfG8h+=SC+ILPx#fZ2Sdyn;-IiqKgZ82)WvI3_58M41GF4R1%v z%orNI(Lw>w5PALD{VM&j$uhuuHKxs9HEe-QAlr1V^YPAtS?*JBFR!Seud-b6jHh_s zD`O_0*>#$V?z=%K54=GHA}F5MNfZRN#Or0bvX4N#YhgB4f2_O!l4%gpiD>yRj*^{0 z{&e9(T%u}*^s_5eb~&YL*E8Pv5c@GIh?!{qdaPTf)rbhux|01#0E5T@UaO4dap+aO zHxH7Kk=|(d(Iu!Lwqgw3^v(F0c6ZnEc}UoSBM?VhXf#BByjIk$eY7>L8>=a~?C1?d z-^h2#Z(C=6`bl6F0ul%z&Z7J5p#5tWuU2skOU&n5g2_9U$<{wVrg{$4>JTUl%QbUm z&6AX;m7yh_?F9mxEVnGWVmX<$e%!Sh1%QkUjI2Vw*|VKKE^lC1h1WP8yqLhfEBsS5 zJk@x(keuf<`|Nu_qGT4A^HLB2kNr!@IMEQ5$id^$N)U$C7-FJTp;R@Lqgp@WejOs2 z-jV=26a!xQU9PSeQ5`>#@CQH1Xi1de}F}!>~tPFzKWAKg3XW|v0el+ zU2qd4QEjClkmz8OYV}U;jq_}Vcuq$3V%oPyH)V{t4t{+P5o_LWb8N)0xm=B}a zUF-~BM0yypIx?m?zA|~ng!9(Zr|rXGahS?LTMM$#7L5X_%mE?SvqruIdigf&NOg2o z5`$&jkl1MQ)X!KEI`EA!Ggp}I?G*l2^ak_ckV&1cHC*!hh+OVk#%u3DVj;J8rY*wt z(wl?-UZY_1>fs^@fAF#_Me8}bZAd^|l}gzW#i+-$s}Q4VG~9jqURJL^M#^q7E__jE5@ zy(S?jtp9Oy=nCzs!k;&KBdaLNc0$4ovZekd*tS%-SX3OU%COqFa#eLgrZ?UJ(d0vH zb#l=h8RVTSZ(^p7x+06_2Bgwj`n^_D9nP}?+*$)B9_3 z;z3|UHslc|FkU&#hg{iEQu8cqFCz{HQpm*Qga&_X8m&xR$21LhGjeO-x|M) zi&-ny3fsl83vC6Au&paB=Ls(DV=ngDdrt)>)h4a2U{uP5VPW*LZ$Utx(r75BFu+X> zfPs$LcZ1tixC8`1%20dY>Gguh=jm|CV#cQW&K8FFuig)CLmXH357rtMi~ zvjg#pY7tqMv~di*t}!>BRB{dnPf3iN19SNBzpm4;5-eU;Z zO-1WaWZ^fQ!(v8od9-YEnEhf%BNuk2C@uXRSN3akwBb5NGxsVgwOl=CKyzFO$6JYT zmESsZHH(|!Cv5HQIb<=UoNQ`&mvtjDLl}>^dHLVwZL+JT(JC>hjg$oKq<&UOK;vE; zt`YNo=>zK`gzxjJ0<{@iqxf1COr>3NQP1V21UH(I_$V$87iJ)hN zMRfi}5(){ywAZBgxh8(*Mqt5dBZ2N5nysR4LU^l6|N9p|ZmQG6bvCSVpmw)?ymP9o z*GHcC>{ahKg*Sa)R11um95NSkL2M_?YjwWox4nT1!-$2`Ju1bl4At>s@4HC%+FI}a z!WnrL$&br9Lz1adQ#m%VK`+uR%pt~SF)TYNU8hB|{5w4%nb$z&=jZSg2fyr;eH)WA z_Qxl;YZhZa+y=lYX!dhr{GZB&snkey>U+6%Zg{5F712FCm+HyX6rtk4U)Rm@z9g%o zRZLF&(4m*C-4-UI%Ue3SVN3z4RuZD<7V>uleoE{0z|ZIPkEch?$euk@|3OeU`|~qa zq>$4d2whL;63!=_Syn{fPVCJVpjqxIjdFOXT&e3*&Go);jo13MsNfs0RF{UqU<08) zg70bf9SH19+ga&ce8y>Q*~(`O0d5_?^I=K#>0rzwB8=(#dwS~FcpN6wH3>@$zz1a+ zy`ZdA|v5wVEu)?_xMM{|Ds2Qb*i{)j}RuyzJ|{)dbqmcghNydC;51?&Nk z((II%vR?lIZV_@a{qZ>@+aejvDwC}&Yv#_1>up@Y7Nh05(5=>btme8b+7-BC#Mr@b z-+RO6m0Bz0@gRFws($HuI#>W-47lV@0GY-Z+r6cCMPEzu;D3NePyrO{PRCCm;MDQE zkON?V+9qoXr*Fg0gc{7xPxi@+mn~VKx)TU2GTU!W6|Dn9lUP&VxawxL1ZDlv>Fg8`kp_3oqX3PY$RVJ5~XgzaTyJ!~mMaoWB1wa8yhyos0&ubk>i#&!?>_-79T*H^(aa zRGD;uUInQ*l^H-FQvgP&V8F)xUpOc9;EVm{=hg33%{Y0yK~FVuc{Bk_YUhwU9B1;b zJSw)mRb`0H%q|@n4Vg{=ceVpQPOag3oNB%HC)n^AV9eYq-4FJpt zi23wX~C*cC@2duCpV^Bwl`otE$`?+Bih7MGE)6$!8;t z-wd&bKFu~y0d!XGIZ7PKuZ*u&2D0@`=D(=J9JXhELdAa352nwKcjo~J4iclU@I(fI zmil~sw?0OYV?xS@YplN=^rZl*RygEvfGVrbl1NbOCG``?8AsSvqE19J1Df`8Ef_2$ z%0mp!GrklZ;&U70Rbn7BaJJLVfL*)>MRpi^rrp5(fv~T*q+|q0mk0wu&U*|Bdgcq7 zi9$gE(JOMPcv>L2g@dYxcS%V}Imuu+oqb&OC4tm`prEbNuBL8*z99eb%Rd+jInaF5 zmtF(hX<2m8mkJs;f+SbQsJ(NJjz~Sxo#BNQ^*& zCE*9a7ATB{^1?x^L0Cm4x~Zw@Yhav2WC6JN7Czog*V+8Rl^(ZFKG^mxfW;Z;pQ+Z% zy$f8eU^52EY1maD8|hj~x+~|K7hhr}RH?|4?$W7Pc(8CUgOoXW~r z^@E5|X(%5=!y1N&c-KB<7{k7X>lb8q*ZN(HMYjgOzO>`G4#8NqdcHUxy>lI&apQSW z*1MQ@s;&m_BABr z`K0si7r8uD<&COMKC982_kDZ|)FGg&iAYKDk3v$8)1|?DTlfwrxDlyyJx_W0@wV@`CyL?4Ken)j;C3c%kIlnlB4KI$H`}k>|A~GcP1Y_A|QQ(;sXQeEw4ro z@qsS-(E#$+J-Pxg8f^?z-u)18&&h@NPT5V>-x86OWFG}3ry*u_=L(K{OV6O70jO7K z$#|DM2MYNjAYl-|SV(2G9M*}9npN8dxf3qlb_~88Gz89w*k}WnyBd8aTSLq?(~iK* zPqBy-Wp>dvyQ-&Y>QbUCJXZ=4A2pU@u+!e!vOZ+P-im3d7 z4LDHLV;U^uF6=mO-@c93%n%#oIooQ4Lfl1{lhk6cO|MnT~APQ0>^JRsu)t&Ogu<@{3{+)k>bTG z#rCfV+h4J(3`jo%{_pK>Cgx3^jmqgNGIBjXpKJxb{Ga(|gy^^!hRc-E6-6&^&bvKov zUAg}f!-rG@q1@s1@`8R{OLVi=sNUnUySYQl_TZ`i|7p)lAyH8VAT9&88j!hE12SkXFKG3}E3o>c zfU>6;pqa_a$Y{?r`4)ooCrERA5szkVHNFHvw4MDS4KV<;?%unne6_awAfTTY2>dIi zVs&<8VK7{nO2F$V=kDQ=s{cDl7p|%K4HVEQZPZ=5f{?DCr;ks}`Q?JOV}$mqFJh2D zYbIQNWg1qAcA=6+uWDw}5XqV+E0PwtW@6GXB!_PAG zmqwdM_Nqh3#G(FD+i!$PU&Ka1$@#^*aOU zZ1?^w8Bx(UZ$#I&1zTI#e~l4`(Z~yOO^kGm>}V7e2x+fIbOtPzm@JeiX!z`U1U-#; z6h_8GruOhxx)N+dK3DKnv%}mtJORX6J7PKe{OQCcB*LMZ9RN{G9z&ns_{^S@pqZ0&C+&jwSm)sbWvswVP*md+V{a*H`2R>9+3eE_8(1dDqZq zE7EhAoL82FOxuSdJB=N|OXhwyn})G>8nqJUGK8jcmqoPcB#D66H0WQK`_R3*g^#+Y1`esfk%k3er$4}qMT zEwUI6(=Z|8ji(F`ml#%ua*s!M6t{@bymiDLNAQ1m*wX6RXE|r@PGEhv!6;_Hy80MB zLg5QTFf-YMRt^EKHgq%FkjjB}Q5B$64sWp&w#nDNeuIq8pt*kQq7~G<8T6$w+pNez z0yeH}#;D4h{=jaIUy?%{z@1zje&W=0`D+@%Jg{;fzeOw`J#-PN<~f_;K=5VF_Get9 z`uG8E#C}z#bCw84uEf zcJOz~uvJRwQ6}Wm94Gn^g>26@Cz!-lS(ljJGH2?ukrohWBt6~(`NHb;rB+hhqiOAm z!)1n)Mf};hC0|m^$5KrRAp$~}q;%`~d9!n2tjGsD(Z+5XMbGdZ&r#J1wS7?ux%Q0l zdF;Pu-mV3>eladQ2j%_hA3?o76L@5Nyl#Xb=XZF*G0>O=bg6EsQQtf0<)E~%pwPLj zt2EU413$2=MIcHwzEp)_^Gr`!!X44dv%6^O*zKM)DVQUj> zeIKl=P)Lt>KD#%N7UQtJLTK3+9x2*MojMmy9@#SRC98F8KECeTZB;Q*QPyrFUtf_& z#MpX#0fC1dKRU4S6)}ab()ct9FP2YShBY+%dV9sOq_aPPhk9xIo{YPgo~v~H+X z%~hl)uo~fzzqoDD;2zvNwbQP%C6>?p?5A$JR6<049RVG`^Jy+AX_J`J$J;VFN)`^q zLQ)l}>n4NmE~xlbkG1~etA3wshHz-VqIq zA`*Bk5NGzK*AS22=vT?Btd5QqenFRTRxa!sU-HYEB*kU~ULGw887PnpeHzcSIr!6zF}c;RUqh0m<4_PT2~ZP`%PTMJ~g9aFUK z)rOvM-~kJRXHv`o?i{f*-wt!?4iuZYRnbVc?Tr1m<^%(EynR)zwNkFLD~`Jx)Q6O| z0@(BnJlY{7G&>&bl}90Kelk_Nflv+<;BXr7JQc=u2p0op+6odE^uX6>Y7ad1G08~W5lmb+gpQ{WQ*;mC3j=@ef zl_I{6$iylAKYa=sHLdF0MlV~|cnEAtp<}wA_BK1Md1_T1DqaHKsKKD7vmGM9&0T3& zZ@|UiAue*?xG(=;aMu9J>9zms3x0b5A$P}%M(A-Vs`~=`w(Pl-z!E$PeJSJ$>Ww|5 zRFCIgTg+oVwJYE8-JEHosP&^sI06|S=SML?)G-gqRbU$f)hc10cO4EV7YFjRL37WV zCX`lOulZODAAL_8{KlN56LRIYi^Ba2p#Bo9|4A^+g=GH^2+X_pN&ROh;Jnvo`WOHE zTWC>EefYO_J4lRuo+I#@c)fD-x%hMA+yo8@B_L}3rQ0%`07;_QXf&jx_m9)DhaDgyk6hW&{uf zgQcXkt*y`$OGHeJ+vyancVsLqeU(4iuCOb;j)wZLak%9S6r=$5zsOLYS}J(3z|M$K ze(OYyQ>RI0W+t=g*b9fFX`fV}ZuEi$DvH}KuVUT#3PHPOfr3b=+T$3|syQ$?gTH>o z!MuRn!>#E?XmEj|ai@++lab*u72Qr%9x)uKz^Yl0Afx){uE zIY*hPkUKIA>dN^s|LN8Pa|}c<6f!~h8_I5g0h(ey{R6UbO&OHFe?txe&n^PVgnx+< z#FFWHoR7Yj+soL%#h{tGywB!!-B5M8ev?q1#6fI+yMI}p1$FgmY-7km3bHut|(0EFMg3mPOjM)b^ zA6LuEU+k6zaD(`M#$CktI(lJ9QF~fOP$98sW1lqdsc>oS8@(o>_ney|X2~=B5t*p) zaG_4;i$*w#*Jo&S+z>7#l^C$JToWn=)l@D}w|B);Z)oANxJ5V1&606b&){Jd8D#Ls`+q=`p8 zhn~;{(5a}UWudmN?p3WrJv}(^{}p!T;ZXMP-`Bp#U3YFNOL9vJk(h`~Wy=;)wy|Z& zHf3Kj3?+1vOhVQSAv9)2j53yyw#mK|B~+Fngc)VB{LV}F@A-b8<9Lqa`Ntm`(>2#z z*XMJd@ALhBU2u-qgq)k}H#vg{v*u}nz;pFngG{OKi2m;(yU*i_v9!~Ou82gDVE;=$ z_P)Sa%>8{y&JtW1Yaw*VM-}J7dA=+N**hr9Suo{7{BFp)fn0k#L{v-|D_ksnzD13U zym09bDc@zS?zmj&w5?pV!io6@k{&=*Uqroi|5Q!yLu_*A5E~Z~7PJHoS|6Y(pt|b1 zv=dZNhaxl5gMHWv09>sd==(RnogmQZ9z~*52%2Jl@Yg@-z*)Ki*F!02jB77E{dw&> zyLCgly}K-M`k$vK)TPA5&muN4Sn77~+I6{-02VVO_i$|8Q_w+r5>}_6J(Y072=n;L zDx4euAIIY}y7xA2>0|5P2rvJC-Jp!Tt{pMwbzx*qa=etfaTD%GFyd5^l+=CC%Qc)npO-VUe97FJ~)WzkQqTp&ZJr=LbN{w}jgA*O41xGOb5-OioHY%oJ^9 zof921!lb)CIsA_Pz2x$d3kNkC{<@P?sIjTVoT#B0k!LyV&0L9a3D360=6>bxOG)(s z#RLv`a%4u;fBXQ#L31A-9xe@@cL`n`Nf`leta4eRpY&;e$(i?z^I=OXYJKI{g5dS| zd2&!5R}xih?N9(qSACLRZT;scUgwe6)6U-;sr3QZJWD(|UW++0iw~9U0p75XO6cq` zy<*+8hyH~U^0nR0I32%&yswz*b(64tKgzCtEU`0}wLe6R6FJH!j4Jiy*st^_+ekmj z_OE=JWn-5cr=_y~^V6T5a|6Yk<3Zh?^e17Gtk8@2BCDc`Z|Wjagjz+j_%{!qp*w4T zYFNy*YqbVQhN#g($c}|GA_1RcqR;R}=}Qr5SNl3_louT@=ILIb4?oTrsV~TSw(!Ct zGIC?%6^@YZ4<=5RJ~u+H`7WT&T}bI&QT|AqR_E%DG_-e2^q=S&7LEMN zTV8pa09S;?(=(g+YK4YZ@i&+T(L|f2PQ9zg{9En7P}VyGRjnO5S{9O9mAjRHOO%N5II|mdCpU@mz9^u z7fwk&ex*S#%{OktCL6s|52a`B+RELn3_EnUDqL=ZPD?V4Z5X4T<}A8yDUo?=7{X6T zo1o$qfGLqnm^fMIsi*<=q6}KDB~uNzpXHa1 zex6@YcJ;34cI`<0ZeQ(u?>dtsLRM#{Ybo*DqJ)D)lS}R$I3gP0Qj}iOcKL{zlE(IP zZErGVAPIe{>)X)mhzFch*UE_1^Prj|2%nyw@W!2u-6E$->_6dug~Q*0VObyXrr9lT zo^vC7GKGZghTp_AU*J(=xCl5u^&)v zSp7Nai%K>SOqhO-N~$!|k7YPdt6n$NIghy(;ZSDK*eEkVdGNXNfy1nBOka>qm^IDp z)30EsRNPi}zv1 z?DAOdBhfo>WShWWB3BQIMMp+jhAa_kH@`Z-r01BuTAy=v6s36NWOKV|GZP~zYd$_h zlFI~;NQKs_bsO>WxE)-BMEpV;;01g7eW#*@J@3KBi?Los(hT%hMz*Z$n-t$ z6Wx)B+M6}kjPZz00b4GhhBPiZ^5OFi86^?CfUrd$4U2shYNrbOfI? z^GU;oW1_&ey#$+%0AdFhc$HYNBD81JD1ZCyueGr`iSZvgMMN{`5Ku- zLMG9D%`jL67WYGd7Y&)Ikpec8(ygBX)>2mEJab5XdM!)2k30dhZNQZvdtSWA$-fa( z6hw8~Csii8P4pkg9$B-(L(d10g55h%e|hZcf~4a;a3J*o$}}w!{$+?@Be2E_NdD~w zMe275A0YXEpnp6^=33~b@0wPSyQI0bzf|1~A2s}aK-6yIS^Z;OvymWSC>wMlR8;+> z!wwO{U=Yf;pxPnfhDlx6I#(YJw;{7lD~e7PAt0jOK)&W6nDr6?;gITGC^IZ5YxzBb z%C7T8otZANxjW-X7aDxyi()iSk9e4hq#azLxjrBr*}pIIbP6d3x?;FX8i9C#Oyhhf z$y3m7s1R-mH+_&3Z#vimr>$OlZ*`(v`i|QWit5v?ps2 z1Aoa?7z!grv_2ALhCR_`ckJfZA0b%$PV~Pj=uv*#`uhD7`f{npRri^9g{7c`N*6{P{6)Bb+VyRjA!9X4v(KG3<9W26Fy^6oz(!?tK#KL3+QcqOA5n+Tmh&s;7K zVR;t4R_=TDb&X6O`P~eAqtI>tSGxCiWBb2|fsULT2runF4q?GmpE0rDgPDK3?iatU zxc^;4|JU@!x6$m8-@gF0f6LU-}3m%C8W-zmL$opxZf!G{GY;e^06o{OZ3oy_9$n+LmObNkxiC1Y?6p zIDn=twwC`r#(6HX*u2)Vp5)Z7E*ry_CTDzlnYLs9DNAr`e1#sm+_UD`e=;51+h5tT z^`+>AAgeU1L&KA|uCMd@V~8)_z7)Psz3W;PUp6+2?KCp=jpiiOHr@x$NT=CuA)$%) z3#-h6GrHLuH;oVm%V3hDr*C*aA|XML{dttsdb`~b_GocYu66B)^Am!;nV0+Omq)VV8^h6lXt3Bo)qU(E|q*)n}D+>NS!qlSP$mQT)H(iBSs zoT4sBSLIt68n=eQL2(5jo1;!Y_wb1UBDri)n4#U80ws1MeA8t0?^l47RuCt4dgW>e zbl0U2M6`}r24G7N9&~Wrz0+>d zZOnyc<-sJdK5J&-7pxTbD=5<=>ZRcBJa+g3+`zx@1^CIm0jOnw_yFY3?-N#dBK;!B zgpm8bgBVACv+ayK{Dwj7c03|}U`rO*ZTwI>@_G0FnCvx%rP=Y>P0$|XO<>5?gxXq` zar{cGO+dHV==MYO90wD@${y4|{^^SdHW(5TrJm}V#-BfiE#GMe)l?1^|0GzitwXdH zzV%5!T0==Z1RTx4r*1d-2{S@#Yj15q?A`eI6EZ(0^AbSrGY?xF5iIjvjcW57hP2#h zXnXmNI|4E;3>Pq%HDAf`_vy_HZI-jGd<6(_rsWs2G2%KWdq2s zfq^Bpq~dbjdcT*dfYC;A&sZR#=;BIOUJsAPrtyPOpsb zg%jXGIYa|Pdzn2UAdC`bYrEH)wOB|<2s2ji^>4RdQsWz_M5nJzgNtiq^zJ=7ib3n2 zV~e@$r{3suEWgf~+Eve%4K=Gl(;wZl1UaGYPHaZ+hXh4#^aL1&mAwktA{V$%H*45F zHzGE&QI2r)p2S?X5fiiR*CI|LshJi*bwSQjJ2j`y{y7J$N*sjY^6J84;YHrMw!7>| zF0_JIKy?`1_8l?jBQwZqo+AUwKs=g%SuhZf`$$(BXVn)-k)mV4D3Z!=XMcb*4{3R4 zxwrw48~K%Jtlp07A}Q*AWsn&zD)?|(W*u|tOg8+(s0yTfr^*{vhU!3cyZIUV&p$*| z+Wg7mlDF+}EJ^-vsFLu7K35kadXdGOve_`dPE%|Hey*E|gQ1M8{jPwiLWq>T3N7x| zTehr?MtgGAGv$*6)odAgFu^tjV&ui)PW|XlGhDSLaBQUi3VIp2ZPYiC`!cV#Q>fqn z7mU(T@)5XAH~d(=vJl^LOSt(mYXoQbKd6u5sS%EG$^X zo-=m0NU5m2uYTGwQ7k8rH})WUfw@1VX=9)i`Q=2iF-=g5xP{Yk9Vf>+S>SbF$#OhH zo{xnaRBM%AQpWG_tQg+xw=!Pt!{K|7#eY{=`2jJETVMUwkchSg%!bGGWOy!hAA+c^ zUS0V$I?wj;W5}_-6cIA^$gq8;0mD}$GhD?0%2zv(GJHC!ca2ZgTx^92#VJb zG6nbcE+e~ZUr$@Mu`lLA7f-=iZTmu+8s^93&sMk+Qd_b8w4!~)++Q4AvXERRsoAwa zTuV%XFN<51eRc(MF0dO{u!O~?7CNvZ$WUZ7$a2E~06?2~v!**A%ZK9P$7jknpRHMC zXI=-gN7JIW+;TcX?xNcc?sW@tg?#F^!`wq>#a!{SwAe>p6d+~WUu-p4u7pL024B}X z87eok;71wbNXKN^1co@4o1@XHCVD)3EG}y&NZtxq3M>Sz#bu9ws5|+|$1(P}U9piN z;|5vyCl1y#7V1H?I}C7Dz#W*iVXO@NPxF}tt;V=8w->#&<*7NzdiW)pZjOM1x&@nl zVbGBEqh|K4Fqs;$6n**nP5-C5>cdJRDj9Z-CaemS`c0)K7H>Q38ds%7FbQqjqoeuN zXE8K42O}50zgs*WCCZr;&1~iTQjrhO{Y7hd)Garr7C@$r^A_7lTzC~5c-x(0LaZpy z&>{XKAE-KQD7J+>?f$|Iq`qyR^sAmK9ealDZ4oI*;qSOZz*^MGai1{Vqx9{YXcL9T zuk~+bZ`KwqD6G3sCB^Y+Hj+7vVRZwreuB3kT4Yb6dM@y|I{-b6gt&sAw%2lg*n|f? zly~dDQq;X`sOO{_2{N?oBn`euO{|gs`*FMH+P@2q%p2gu2+M< zEOp@-4UqJwZo9A3`au6Oln}mahy1;0B|bjx%aNp$>nOl0Y$!-k5lYPAOx& zPbYs7L}6Uu;RfpBw&xGG&kV<+Z>qBRpZG2PV~%D!siy^e_W=i(;f?C|tmVRWR#jU5 zA{lo3b?xu1+(9q83s_d2S5k7@WHG3XJ=_(WXzqw|oA?q6gr!v{5d!)IH`x39tUjzBQHZe3HvW`$X!= zN{)D#QH%li3JhUHaX*)uyPw3Nwl0H5NE;chl# zdP}RP0R7vX$X%GizO7+R;fRxX>R8gJ9~<9Px4)oJWmH`*whHq33w>fQP7Hp^^N_S1 z{667SNO%~3zUvzH3htJV(F-N<;1eC_0 zV=5onpA+*VADj46Smqq?_ofx24cUK?+Zqz%Yr6*>YFarf-P7kpEvf4?22EJY1!tF` z)G9@PK;gx^hDB6aXEziChD`K!Gp#b_1M`R9_C=AsitqUe^_1fZyMIE*p6=tyeb4fH zP=>X5<&b9HoAKvCtfoMwZB)7 z*vh8sx5D-7UmCMQ7Qe`vj0roB$G49eKYX9B%{wNn`qkJ*W^p}>H;y6U7bqq}-pu09 zM7OiloJD5}5{=le+k-HeZS8RUGda)QEsIR^W4FciFXs#F9-t;`sEc#7>_9sxIzFLx zS~QP5u%4@qx_TIYyI^KF=V3<2v0O6+KHyc@f1~l*6Jps{LxCMlm_@eICZi-vY3}>G0 zNBf(Uqa~G~Qv29kpRIkNRaD)W{j|Nc`vWJlooN8I==CF_xAVu+vk2bjiB$HI&q|og zvS_cL_J&7Uei(t?7lmUt(LY$r#dR8D7I;I>(>9OF6|&cLRMO;^!m)c{d^UU4EodxZ z5%Tp(CWhQS7!J$heG+vaSB>K32;Wg`75X`AJ^?+$nqipxaBSL`XIszXDHpldJ@W0O zd|7@)jF$1*gxkW$VcqlRb*VE+Gv^)zscbML?zzwdDMj&4UV{{+%!sRqX=n; z!|#r+LEDZM{wEFmf0~;0-+3!{mCBKG47R#=YTpmoCv4olZ&j6kC#rs(jUmVfAN6}p zIs-OA=HHF-I@jPZtKVbwS(~R35{XCVK0p9F<}igk@MDs?ENrWML9o8(KyZ%#Kn+rA z7V|YEpX9NTU3()z&`T4FQ`7*>$3DT|;#fqGK zrUqvMs?hoGozg_R9wQk7?xaQyF3wK;P4J=;d6X5k%&BDJy0;8aEw*+vIKy*pzCxLZ z8nmaX#RpL_fi1mS%uwN!G2|#jVtBmuxo_O!vyU)!1a& ztzzUQ7v4J&(i+29d*8yNf6@u%jhI`L@aeBH(EpxcqgxM+{%YTz8GTli7lCE)?*X!z z-o^IL*pG4h6q``KU^uu&sqKfcz2YGg=D{#vGR}ctrBQRI`ay*6S+v69*tO>OGWLV0 z5Xx>p_xO15GN(5~I@^3NhfCo;w^OvD3X^V{5+-4Q*;kOPaZN~?lg_|R*^vV$ddDHw zwJn~FIX^bnm!vaBLNuFrYuWG%c&8kLl+JNBb%7pB-!!LNC?t<8l0 zU~;r2AL-x!unHj*26rk%U=+G;6rPmT zIZs5@|D6b_&e-+uDooa6t(e`TSobrhQs9&NJyd+e3pB5{@*cgVVW+Qg6+J9yfr{At zi&aU<@jm{6wi{l&iMYJ=#gtN^dr9X+Hfh>EpZ_#efZ`B)R!US?V!H=XJhAsWr?2qE zsXj3I0BP|N&}V=)pSX6v=;<`tD(H z`h@Opr=z(PS2HS9Li!luyDpaJZDEAWC#{x<@p{~djwO)gZBOu_G9dx#7eW=O&jY~> zWU5Fb#$-lUE|cH^ujIa}*5q@<<9+qtla0FvR|<>rwx>;3n^W)L8rP|LNhs7b)vwCjRdp|KkZ-%eAv@{68i5pFY4lXm+N5|3{+# zq4RKQ1*|AD{*&m=eAI3g7F3r|wA8KB(+nABQk!d-R%nZUvyjLHAeY5`K^% zTBtLnK^BA*v27Ub_f&&$y@4Kw`rUIO%t1@;K3X@#jq1KoS-*O(2R~AShQa;ggV{ zV}oG@$R77@!y5>{1tQ%3(}@A5`J+c)#q9EDx#t#%yMyhE=k+cdhU?YNv(;_o=Mf3= z3qQo;P7OS{>opr2o5rvf-s$=I55V)K#PiV3W9P-=cFprb*YUxBgAHmw5W6V*^fUTVZS*6pI>`c?(XjJo37`j ziISRkWK>l3=N5m!|Jj-&i%7cs7mJw|-^bNW`!4=94E-IVUw&<^0-!!a_`~seGG?^) zGXx*;$NQ56R9a$}W{`3dCPPF2+>*{H3O)oko=3i+a?Q>A|*NYwz$X1bJ>NqpRP*yf<&ir%eT}W3-YO1M~70bip zBXy3o6byd{e7sO`dmsjv%rJTdVAPwnL4{pOJe44J34?&JP++(~$I-XTM?b_x9O8Ks z;caVgKWOQ9Ync%yhmERCY4k2Tfzu%x2U@(dQ6M4~F z#EZV4Gh_pKK97_%RQ2@LOOL8synF8RgW=nc^%vO}7Z+#$wQB$``hyX1h)W4KY6fgX ze-4Z&B{>H^l0)Tpi2sx)=ysYGBXWqt1=_dtEzU_0>SwL18y5Dc27GwzMi)2g4Bi-~ z?ClPMe5t6k-D5bEw?w9CPM!%D4OwKD3ShR99ySs7$hpzUF{jC&`?Mi&jpwgt`5k%( z&)y_zT6fF1|IeBb6gijVIgTvY*192gWR4|z^rpy7M3Idm4xq_0;bhRenOXE%hvlQ z-;<`V&ea$iuUK8e+@ciDc+d!x$bc9GRMfA7C&cd7OnZWz7{y>1=01GHrp{ho zD`#kua)kKC(3YIXmN)SbBD4>RfZ-hez%8#Kkqt0^;7kt&qsJ`&Fp)7X5E0S^APsj+q4h*Gpw*7 z%^=*5*fxY?Q?^W}e27nWaZ$<nTPV|T1n#AdfUZc<1T`<#e~C}pSp@xLk676bp!BE@*4^(-9#@N~jl zPI7J!MwV+WzCUk>cJO_r42Zj}%x+QdG3qHY4x3(HK^Vg?5KmnbhQqQ@8n0v}b2>9n3D?v@gDp`6_^~j6J;{IO5{@{K8FFn#t7N zp9_R)Ko&GCw({m)G^aLVyr5vh2+bpiQij708I+dy2|bT8K6Tgt$7PrMuiPQ3utnj0 z2?ClU{-M)QiDl3tQ_MYY=GfqfPHH(`4Jb$VUAzg6M^YNO@bbSfLW=Kry9 znc}rv%r9nT{z3@cAbK@EVJRMBT`DjW&ub?~_OYMXm&4GBhopUdHM7>*bh>hw6);nZmB+m%k+Lf8l-<++hi|4R0yejtRw? z9n9E(77w;<+;B?x-KYAsTqhy}

4ly`9qMUU`j!jv;a!rTbO5$j6LZ`hom1Fyn-x-Ra7sM=)(S5VA<@h~KgW9k}~iO82hXDJ!(+O=jI|%h;O&fi&Wz+oc?FFV*FQaZ!VpFAb2z3VkVSJ_{%x9jAD_u+R~oVTkz$Cw@8H=_@?$fju?^i z=01?To{NAZSZnqjJ_MHk5_P51pKv!JxPwgqH!L`6Zr{uuFF)mReMU~#aYg57T?=G4 z6*Q8XwwVyIj5kkzw!41e+vG{+%N(bLMZ9{Y(PZ(<0JlTlYnlu7uwmA@L|_7gxC1G) z@8}}{8hUuct1$$n29t5HcW{L69Ssnq(x4T@F)L+4MEE~(Q!4>?@BPb^ig6AZ`SwOJ zX0$*9TFrOQCf;<=Q}VOIlFz{K4YCgQXouhW41cEjD&v!Fu)$F$$Wcp{@FvpH4zS|+3xX@7K;rGgL8_DvbasoG zyrZ1-M>Fre?s>69Bl|Fj&qAynAZF081SXkR;nMgIy&>2%gyssj`$u*%t!X^D2NU5G z9Y7h29$Hbd1f#!^I7TJX+QqUXIWy`q9{>*iajaS=rFxVGRNP+3cI0Ostdc$qzvAPD zMLbA-gPtW5k_%%hKR*!*}JEPnPAAC5!Dt+>4f$kL_!L!(-q@*^nBz;Xk=oavlF>og5AOD zF5G<5>>o`Q_wKE5F8nqQe6l?;R1QY&>t11`hv6lvCTFmCx8+IR+ZeK?yJ#}EXtw6XA5`WJH?W43^YN=zWAG9~6p@ntC*b`SGD0Iu zY7qST7r>&L7O3w)kTx(d{(bMoy}!fPJwA?p6#<-2 zI!0@x*erHQ7%}KyCZXbAmqOzt=yth}RX_cY)8x)(0Fsiu?k?QfHGRk%If(ll;D)J`xB^Lm|B*953RU8-CKd{T zET!=}pJ=L`XD%P^wVNlcXbO zB$@Y;!Vof>ldXSTh$}9MUDcJ@7r$KHcMJLCpI9tf6!hxCxO7^^I*yF2UbR>p{H2(K z=RG&^aFDg?t{acu3S`#NuSK5}5ASf?!u&ag0hc9VTLWX{u8<9jxkLd?as8JB9vrWbU6$ zR_9Qz#mF1Q--m}rX20;^qntj%2ndI8e*H(`@R|=E3*;FD$*xpTrzn6okG~_jy76b; zx=(QcDNJYN!U(Bu7Caj%oz#(ihQ)7yO7C7lM)CXEx#wEiN1iV4S^z^qxXxp6H+=E} zu2i$>Z+sYn^r6!U-(j=#z2XEDAc7b3HvjMF)-Gu z?-6$s^(D<1QoB!x8kQ(q*5eJW1}l4&RdSf<6ZMkNn2F6QB6;AW;BWL9nRgI&7)2vT ze+?#sP0MKioj)Fqa&OKU!v!{8vHAb8+y|Hj-?&D9GScJwi5ahSR7ygp4+kS&VxK=A zM*9F-_N=upkK_SbOEBTcZ#ftVO4W2aA-&9Nu(?bjm=H!{jy|pPso2q%j+%HepXd5o z1QmuN{%naj%@K=|)hW3*0TkR=&aPIcVFtP5(MfqgvZsE4(Zt6(QgR1p^a@-q z>aA}$%*W&u?b=)6^ow$JsYpU-RorxWm{*BP>_IYQX~PQ9q83i^Qtg<z|Pl=X84b z{g(`n0gDqV9^w2*5{*~Pf`3C1A%L}7u1I}kIyP36JqCOiz|`qxx1hP06OW{I(=u6f zdFSkwhNZ2^<=k9w&$7p~0&yCu^p?dJG$Ya3Rip2(_hhGvSR??(V`W2y;ZLDVZ6O^(ZR;uMz2ii zPzoa?JJWSurUyzeMaEmJ`6{eT?_w@1xB!YeFq**U1sLg&o&I-<+Mx)7p@+Thqbpic zic4c9>FxGr5h+&Z7W{Xw^bBwby^y=GD0uM%&_hSlE#4IruD2}d{K3rRge-UrBt?q& z8QIQ9@b1+4fot*&$oqn#Xpkz62XsGycZHM>_3OVtE%M8D4H5gkD0DL_1}YYDkG~{j zRWc)+3QB+4Q9^M1=%d{)q@h z)LkyL528ajl5BCa1_n5EkK~d@{jYO-C zPR#aI20wFyMY=-ll}EWG9Pw%sbPj@Yrd~Jyg#N$ zdcGK(jx*vfVj3Iyi@@IgVdcsaej>TK0-uX7lM6BMWGUhp68SWopO)FB_$ z(uFrB`YQC`kgDKN4m+FCr+WHLcJJ_KO_N++3XBWB-;=zIW^8Ehvlx;f*gfu`A@^qL z=~y|+o%lwL6`H#EBQ;?@vcY<;=%Is^m{?kKbo}EWHzWj4w?7UVS$fHM5`GY63wEaq z)avi)yk8!px}Aq3;M;TzS+HInD~c%2?w`-mN5;kFFH+5wN!>BHPd{CFEwzmYxum4? zyu(#Ouw=aeSMYDl$U;L&BGh;uC~f}kE-nc=fc6;a{T}BjbTaoXTt5cy^r!qPo@0y} zUhjUstC+?RD$`s*JFtP0x-)-*AoR)zKZ%hwdU0E}4b5+b9*ys^6kA5wdUc#BVTldZ zprLIBiEu__e0iqSpxE8C41EO_Sp&nm*x&9*JJo5M@tm6MZM*1fyX@F}?1-6qY@fR3 zoNm*g%t&>Nk>kLY|jTdz=2PTKsz~r(7EEj7|tH8`*(7JUha%- zrDT?K1}Q+Pr*l@vcS zZ-IS7Z{F!qyew%Y4zrf0<*~*=pV!AcoX9ZaDBTMBDqvDXZZy6VOQ0A}w5@snn#b0f zYfgPkv1@WiurVg#MQm{Kv0&O%1e?@xGcT4Q)E@c*69TJ2uea>n6ncTD#9=vIh{vw3 zo^yjy#=aJM^OLMhf1Iz^^v@95cG=&eq(%b5Z9G76OeuwR>pJHoP?4S)Vh_;q_`@HDo$W0&X1E;wjK7{4s{>1#JCjD4jw3 z45sC;DepVGJ2pz&+_LmglPPx}_#{E)^k#*g4ZH_L+yd|LO#Ih-+P(AE4^a!X@mC3R z@xsl8uhO9j0b6g2F7CMMDYG6_EGO)m>Kkb96KEY7|EU(Wk}DtXgSaVCu7% zqzbpx)WnlcdKw=5xHk2)7Ao8r213dD;a*UHo)B_)UGscg(?}J_&%4b|gc-H*dA}QY z`dv1Z4tv4+4;~}!?q#aaztnpd(nCDj_OusK<{f{6dPqS%c^m-05ds(80KY9&SCdTU zwvm8?)fhaydRg-P!8ra<`|b^}KGJTb@O2pTXBFn)9Vmfo;pv@1fQhafgll3ln3=|} zu+`>&RT%y&hX@P0i@Tq89WVaB%M%MI|NrF)snuoM|BYGS5bnz0|EE#{NpvrexS!{% zZ5#}kf2?h5qI`Vxo>^ZY_vsLuS(>Bn$fC|0Iy?*)v^pKi)_dBbqwr#4m?ThI!nhyo zk+PU-@k0;ZQN6=`5{8aRh@GHL8dpFBd#`X@lDMx zqYb$>4D&+i)iQV#DF=d0M9V$;kIqh_dJ+;2Pmix2(a>kGHnXz4PS2dI1PwnD*m*sE zr(KV2ZEd6w$)~;#(n^ItK0Xw5`Ar{qd`ueJA1t1w!`XANe@3W*tCu#&=lHnJbho>R zN`b(EWTGA0#_k0Smx08}vbVq-3-L zQgaEtku-lZRf^=M=2mi)OFpLN1cNYGXuSM`IVvFX?=y?u6Wy#&;ngl8ytOn|r$ zxrjaIG%fIt)KaI3IaKq=7P;|Nw!V==i;l(_T3#-lE3p!xGOBSWt>GAi&nn>DxDUV% z|6tYpF*W7k;oJNBQ7iRLL1QEF-x7<0CO;Ouq>JsF1?_CZ@R`~k?H{O16M~K)ex{Pa zwZ+?z>m6mi=#YVAG8&4=o}K{h&1IFfjLfBp@Zy(f<4|yBp-l~-?zS%hO$whrUytIF)UF{iRL=A z6LCCEg3?8$;Z7R4?ZP288Pi8c6K87;RKtl-bdj z$TurUg~KL~1nrJFPHJV({GrpPMOF2Un@rz*Icn@ljt3-d9@P1m^ZkrUy;=!J?V+i* zw$BBAS6tgDv~amf`P`anjv))Xk7$ox+x@5Csc30qtTC^9Xx^*Ebk1nyoD7gDr8H$eKW%h^U+`l$$M-3nW)7{w2%84q;qraIQ6!> z=ec?ZI^yx0DkpMeri_d_Jt>ept|x$yGDly{iJRJ5YMO)GLYG&q@np4DbyZ~pW_RSv zk)oAqVs5H&(MZgUne!FEmk!;vr4z&HeAh_KlPL)%uBQC*w*8kU)OwsL zRC3isE{GJmFz@uQIW7z}hg<>uAWx1yt~&M0?hJcdE2cwAgXwbzrfyzJjmN&C(C(mG z?iwiG*!4`$=HtdixwUKC=PLWH{c2ur|T=IXwwQER1$rH7I_@z$!@PK zgpg5C#Fib&e~cBUZTH@Xwvdt2L|nV;g-2Y<6P753wwCL(M-U!e(aPm5xSNvFkUVh+ z@(lJ9=~MG=5Bwb-L33HeUk+T{-iW4O#&1o$R{YUs~JGm@E$dyXg91>H`anoGoUQXjJ8)`zEqIqF? z|FAQ&-b7+Lr>;cXzDSyC`qkC@j?#b>=(EcFo{oAZNV^^JysWJq>vz5BNB=xFh4_(~ za}=fQyLwWfc+|B|wD~&cswIce+4=8fr{Pm_GeW>mxDztwXE>halZ7+?13o(iV)1>} zN3d;NPGVnPU+70N)A+o5$roU!u<X91%{rgEa)+jm?qp}m@-m(!+>2kFnvj}4Z#-%-|4_;?%-XrWK4J@`-8T_o!r ziP~blU5aSXp4gSn-QUS{p@g9{SXxfsvgF33F6ovum#Q2fk@h4?#sd;8)UZI0;;vaC zt8l+PUg}Gemq?_#Q0YmhU;JOo!Va1Jzbk_m8&v^_(^VKf@By!bDCpQCDWv zuu`j~M$TK($i$dDIlmP1o)VFfTVWQdzCv+!nQ|BXg@iXX32Mkhpune)RyHPrfJ76Jdn)j zh_ZEl4x@WpHAdW|do|v=qMR?V#z6jWeW6Cu#V9WbN*S7P1M$Tf4n0gU*jNoJdDPoL zaW}(T)5L6Q%cyhF;*GwYVKiunjq$mD*r3VU+AT9c)AD+Fmw~>}lZmx=-VVO3O{hJ* zpjKJ-DQaL4F_RVTAYW~3SYCUrtax{EYW#IfJOO9r*VF93Di@L4{Aza>3vO|d{(}!v z?k@3P-pl%=-nrh79KBbZy$t`$?29g9OPMs_u<4O`+C|`#!N8Mim^vEVsjrh-t%XkQ z{Z7PfS&poCR-)G(s3mw&?t^(jfJc_L6IAe%d0D7{lk#SPBO~$_JL#lq>wZIwwtnz& zeCmTisuue9ASMi-IvR&yW9Y2d$a`EkkG5!Fg(U@N zfuA|Fq+!zFNK%K~ZmJjj>r-8Zs{3daZ;SZ5e!weKH1WM#ISg|Rz4FPA-$~X#sxH{g zNf`D9MVD*ge;fYH`z`4KEHZnEz2I|c8>8LbLNVOeehRY3Ix&J5@TrHi&{N$f+obf| zZKG1MU^ri5UnXkR2`K*v18K~5OdWs;5vl9jM7TEAaBIhpcmikNrX zE-cI>sZJAQHQF49+uMyfTttEsRA&m<__gjuE3Q)B(b7;S0f4U>|8+~oT^m`1w2u(= zc{w?a7a&I){4(@q5GoXGTu-m6_{$TlS|jRKXmopY*{C^1h*F8ZE;1i*l!O$LD34GZ z!dy!|Sgg3XpCfsI5o*mKcbyXSeaug@o)W1h$9K@{U?3LHUQq4O9Wf;fEbX>_#4}LQ zeSM}1B_kj!bdeKwtw|K*3b}H|LwaXejPhCn5uKKOma0|kNO7#!1B}kjKXotE2K&5r zCl=zi=+3X^eu0g`Qmr?~e?afb`WUlO?x`9^>*~P+JdriT!Xyk& z(uqaXGz*2#QPr=;-CIAYTOmD_J{Eoy{&1g1@5`0Nx+0n2Hy+C*kv2|JcuJ4jL^{KN zpYex0+cI&hLw4{|{i|mbx?v9Lhv@kGH#z&5{#;>YzF&Nf=lw^`C*%K`ujlO? z!LSiQ5iv?;W~Lq3;pg$u+)T}7OxNzv1y-u#qg0T_0nW~kQ05?On(x2b*<5ef39xbl z#=Cu`4Y+kXn1g(^c!}=E*|(H@macwHuHCw=^BL(1x}N^b(5-Dzjf%PXz0*aoh8#tT zMuf{$O4gIof${mvY~kPcWe(x05t*ZN!E!(A*UWmb|E}XOc4%7h$`OUz8$tj%SX^n$ z>9rbLW+12j;`f83f{+5Uq?zj8x&9VZUewe;KhImgd&iD1_0lXCyayR`(;DA}D=*&T z`*T0Co5!0l)8e32bElHW1QN>JsJ!AdAIZ+&(2)PPO#IiVumy>QR;HX_t%koFBX7oE z2rhSD#utpYSFBVSu3>Q;=fxsZoJyZY;S_cwP0@NNM9Jyv0oFmfhy6}P4uf~s+)&G( zQ2XvGuChQmp}@fGn{pUUXvOTLjcZL#dmuz6-Q=1}??9)54{g~yayAvy-5FmhZ>UXLnH6v7}P zC|YP}K|vcAzxh{TL+}S-@xoVTx%T!$!*qYi#cDenk75apRn+FxcVEH*kg?|N0|>DL5%<*9S1=gLxEKEWuu z))O@^1jOvC{5C6bU+UyFcqwt8xC$L{NL2Ka6}gR$J;$b<;W2(Qi-I=HF(W7>KKGU! zKU|}^b}g{^r>hgdxS20eL-6_Xt71IOQPO0RRCs0nnVCmGHH0dQ!_v&pY090PeN5eh z%dcKS#+H0dwWPiF8=wi@g;>VKFb8KiPl`OdZ$^TfPW;?m#Pmm5&%9bt&#z}Pn&07N zmn~^oCW}r?p~N(x+hkgqw@yy3=Ii$6o?|Eu z2dR559gW0G)f_AO9q--Ed8!Y+_C{}-LFV+F`imN|CymiFq=At?xsb+j<@-$lQm^7{ zKiR$~MVHsuaU-$LpfiCOBCu4c7-%yA?%%*F)g+S5qYcQla(!h-)X`Q2>UcdGz0z0G zr353Pza}><6u{M2s*BQV23RbVL#>!o$mz7k(9Yn6uEpt*+$%Q*ra#i;dNOx1Zq%fD z@_?ZCxXS2bgo+eVR-Zv$@Gx9WNrr~nviizg;!xG@jF?p|6cs!#i><6ZSI7Bq>tUfP zqoDHFfcbxuoF^o6%k1?|wKrTM^6(1S9A1~^@Et1NMfrzJi#-C5d(N6F(bLCc*SV#L zT|32PO$Rj+gQA1A-}Y>2H6;9FiK78Wp4AR3U|T@o-`+6cw;hW!x{J;x?8$gk7hs{4 zA4j;l{4BPqI8w9Zlr+(K0lwq}F{NY6w!{8L--%3rCEPssAYFO_=WT7@E{m92HA{rb zgqr&Ju*rm)5o0ecG~gacwFTEqWs8yU%@MtM9;Q4TZmJZRzm~zY1D>(i`?-w41gSJW zPU;xS;+oHsy-LG7w@=`j1|(tq5SYD`(Yw}vFsIrD&Spa+jnm_eJ;kBdjC+hwB<5ox zDp1j!ly*UiqZ$)0<7lfv3d6|Oshla1--cG+?vPr@Tg%xlNpP2%{U6ADAtjY4qj-{O zxkFglh**+NN(I2YYK+zt1#xaK{ErNYb;m($8}qm=TDW6nYp<7FV~#Cd=xu=|$n3k! zfeY2IOCiw@Mx7?|(mVbM3RY>HA{Z@|=#@O2I=wv|_n!i=pTaGrxfxd6mJ3jdZ@Y)r zj9bS?!NmbWLTXnLCNH>FMq{c z1&YIm@%*Sry!-)XEeJaPZ7d(gUxYR1ERX*fY<)SgTv_$Gs*$s00Hf1IC7JXp3D3z8 zkt@7y%EQY~O~ebgJW%St+$q_C)vEJ|IKO2wv%>1qApiCNb#AQ$qJ?QOy*>zbxustio&Iufxb$VI!+0@oGGX85L zv9WO-S@N>AKgYP!ciq?N-COZ6u=+v8^;*w5&_phu0CM?V7!9}I83SNqTA5DrNrElnB13J(SQqO=n%n zlK7KCA1Cv}$h;hiakQ$!4yxBepTf>!Tn&X0$MWR467=@QBSK1(%?9LcE9qS*ebe2h zW+}oO4Ke*3TfrEopUl!NwlJdx3{eVQe8kd2gh^ea3!--Lt>45|7~U60s)UGvh|S_h z4UP1M8PuV1cl?EflL8^Gg8F#(Is$Gnd6=Beq)@=suKyR;? z&B`NVIx~&xZ<5MfX7_!x40Enc%$z+`USKNvXoK?e^w_eNAZ~6!D^q7v^KUi0z{UF5 zXk3|ZGDn9-aV0CHTKqc+L)nCrVl&Lrw-Z2LpZ3da5fgj+6%V~OH;$vyD;l`~W20D{ z+d)acE{_7jk2k$XR2Qt#uFHf$dkNEgk>%255>KCrz~_W!Y?OM7HjdK`3;5j?BZ`Gt z7r8oodPM-X?4L3CQxIm_v2!sQf}2eBBUV04Nr$0QkI;l~arV4E2H%QKVhs3t<+*po z@4oec;|;6g6B=5FHmhfGlTC&k@)F~}k!3_X^u}or%f8j;S3C9RyHXwfM~ycom|_n# zFVX2qut}=jx{5>tV<3LGYh1xfjUDg3^jh3hLx+pBwOilVoUrl3@r4`3!gn6D1Yyia zX|7{c=vjEv1?@q9?-^lA;N`UijvpiT=k ze$Y33ANP3+EL(?uhawyc*i-%kE4;K@k}d5s~)$ckGD# zZC0Sv~Sa);fpt#2!4Vo7Kyh4eZf z0r$ywWaMO7y8$n?==JyG6{y|G4@L^THUg+g0UtA>ZFw88o5jDoCz0$Vd64A_iRsdv zv?hsHWIrr?$%csGdvfIEpkTb!>W#0tkS{6n&B>D4Qx9RQ?lu;FHY7*IL+RQ~b3+!b z{!?ssMa+;fPijpPppb40V-bITH^t}ZagcRvGLDkMe%NsxaQBMrtnz}#em7`_)t8ck zAtP~O^+xo_-<(baOL4`A7tQEkvt7`P1FQx1aVH`5oVd8(t~dl`Tx!8)%#l?& z$-}@i?+?kkXFuIxN}ccrex1J~rA(nA$+5E)R#T7p7FgK;_bK0E_O)(zh|zX;@w-L4 zlv_RFp5ZUTvLEBTij{g*dI-AHSWoydf%lrOMh0a7We*FfYU#aWRdbv&obMy5eWUvp zdhNa+X+RG%u<3%k0Tg9%s-?x6!H4rYZ8t5v!Eb#^YPqe<7FSroA2v+L#*ln17(?d7 z2I)kB)7~p(I#uu4ug2OPhMkk6FZq^iWy=cK&fmp4E0d>Qs!f{r9sxm6ysu!cG0}md zg5=vMXkN9Dq%`Fy+-XyGg)nl|P(5zAMt4s+s41~yaxNQhtiUrnbv_-`G4$yMkTRX6 zZg#x-kvvwnw&c<0s8|fRZ+0tdCwZ1@P&2T2TP%FKnrL1rzo}_y#Gt9UXlg25=aSQt z`~j~+bu^1puf|nE{RVc!eZ{p@WqIN+y~I(%zroShwNPf~nf^KTxK>0z?0n&rbsPJW zLO?2j07I@1%{Xu%GkH=D>1xhZ2kByhfMb|yBW0Adeh}%0W7j=(oPbv{vk9Z|gxnx{ zKr)V6b$84q8`=l3l!BjcG05Z ztj~-9z&J6?goX?SD5teUuP_x*F3*+q(~*QpEYn^-<*?xp5G2KVM9zLVNONo`l26BU9EFS@52S zfr#BJlVl}Vdi+Oc8#-S_3V~gnfVuK&mUeCQuN=@VUfzCo5nmYVm^rmt2x z@NQcjySDC6DHMOc;37^LG2S####dtMVD*k^2z_U6!%-_!h(F&UZeV}qC-i-sd;8fp z9sv>RR8E7$ytXsYNj{^?z@POE>wZ{&+KO77*OS-A>)6(FTRuD2dP)5<9<>g)tn#pP zg-L)lhJf`qn3Esh6Sb0rRkzsal?pu;-p=pfiRQ2)2YUMfi83o5=%If;h-4E4D~SchnY1+##$#kkZq)4@q^Z)n->MK6!wPEluhVu+S@oWtxJ@Q{APSf&Dc%?F3q z-N2|a7r0o60qd6;T5(esKKDaY!SC=#EWmM}lHiQ-&MuZlGwwKHLyS&C#N5!qHr$T6 zqS33qo1O8*c*%TtyyDu;+*L@^eJQ`O>s*+t{`fRWbq(b*@orSDReJ8z^C4GlGj4^n zxO(oXXuQnqiOSG>(I¥1rE6rg)^A)FIB_q`Mlszg7eL;^ow*5;|k_^kYJ$Kl)*| z25EhxUGcvv5qs!x&{!$N=kgpR@L`Qlb+El+jECcHq*F?+3o<^fhBe_IzpNV>J%{D; zaC+^@y%PgU4e)nn(A*gng{Un}8B^ZW3%(wUW+v00ZknNBi%bzA;+MY! zz5<1}d(g9E@!Ju;;6Fsp>ZXn+_PlP5?;QSpDZ^W~h}jtz3^kKzY{WM)a~jWx;TCsy zyM32NekSaN@~W=ztJ>3#ck)OI*xp*gz81FkK{Cx&Rp{5WPYl%G;T7 zp2)JPvZ=T~m|4AHkSd$8E-CMn-B&bk|1J5$7GR%YLhIdd`o)cJFI(Q_UIoiG8Yji5)@7yP2NwRS(#_M6}PgLA#eAInnqGtON7My z6Rco4T99uf1+B=t(y(IMfFr18s}AP%2AW}n;S-e#UiPplen?oa|Cq5zyfg0_?E_o% zKSp(9Oie8Zx+Ipd1R0BcaAC7V|E~iV{tsv6?KeAV-2BQWW_6up9pfaP-G}@X zR2i>2>R*6cYx9wl8Jk3B%8ZQK)>axDn}*Vh@YLMMm5ok^ii;&vI~y@gZWVzP6KfyV zH%p|Zj^FH)Pd>3%>epnRYq{!AoVdc9tB3D}H`}+F1q|1xxDFN`X$$~c>8WVd>{=yk z0rW<6vIE?LWs>Mb;ob1>m-5lC4!hNbpPB=(L}_2MUVCtI*Om(sOicNfXWvZDy?(1r z@f)_Mf%qMOI*3B$`b%s5(1*ffq%h(I>YMJrmhs?3EW&@}1>e~)o*!f+I{0M75$v|I zI_}23m2B}gQ-9`vzQL3B50(279HgUKx%LRrik@I^naj^^w@^PKz%#`Sy52j~Kq&e1 zO1XQrLjrK$ktBHa<>s%=yUoEur-hQU88RjkIG18i;>gxcq^jZYeE;)w1$w0bCJr{R z+UrEc*3HwY9XNCLatAlG9{1G4LTs#h@I$m+tTi9iIWbr2|=w!u~ zcO;oCAC}g+QDlkPUvG>UT;kX8Km-}=)qAH8_R5FExrJzO_xjSS-8Y|B1U-+V$HULl z#QCXz@tJ0GwmMy=YwH-qPGA(f_0ad|RM-t}&;E?Yxf$GregWI5;0*1C!GbA|Do=$V(JXO<* z$H!yQK@Ma?2-L0j2@?8oFv)qi=VJhJX#h<*U zAxr!Fle8pmYEXzg^#CYBQt}?;-(B?(9^#F`AC==?MsYKo2S~6-sj&AD6QDT0*WccU(J==t}vurb|-Du&xVQe zY8IPIPt@?hl2Ttbb2ZryK`7v_6v;`2r@gjF1}UqzCw3i~O-mD#)LVu}k0@0GDci?U z${0ba4DSOaLFEs_do;rmjJ>o+ES=PtEWnZ)zjwN*uW7s;r_&1x(p49#%f-+R+0E#9 zU7fwh{tmtCv!-d7u*<3MdHt%mSBJNkNeE|oWl@H`W~4jGaYP5K*lK8?pOUlo;8a;z z(|`Q%v(m0|pq1(%3dl0KzgRq5IdI#EqdfwF3yxQ#=i5rt?Id9K79@puu|R#q9U3}` zS#ZPpRkw|BD-;|#DFEoH&<$f01XI09 zwHB-z-Gp!JKH12N2RL|Y!LZ~Es*s(_^vM5>e#ih5@hV*jYL#Iq7aX+M28ZHvQz7Ae z4asNpP$}b1Y&O#Xfm^^mT7{!3w!MxFKEmJ5-vg>z-33Om&r1E)e9z`*K~`G z_}gL^-h$6lQ_rDZ_YKV_4F@|Dz;=S1=aeM{RXmRg^>4joG-+MJv`-2pepZ5wZswqB zMY5W=R?c>ZszK(edB3U+nj-Q8{EPLkEQH&CFD-f--W0@0YdwzejP;B8emR%2NpzW+_gB|G&v9IZtRs+gBs)*QMy0b z^aluper#bI@u~AU+B#{%Xre}VT;GVKd##fKBNUk4h>mW(`WX3@pvv6k(_P`mJ6Hsb z(>_Ky&3!p-IacalYnafF#q{H;*qm*u#gfeIQ*;M&bbjKq+v=UD?+WNUuW-?2O>Y?aC z_0`p5;#DI3cbQc6PDW#?7U08&ypMWByj{9oJ9a6FcZ>*R3rAZN2tnBE;s_sprA}Mv z4-OiVVYRhovd8o>--_PJPHhfagkWEI{vQBuK#;%ZFVR%ti0d$<_bP%?CJbsS zdLKgiWWLR}iBIwkKk_*=I5S8EnKR*YX^5OU6`WByHa-#)lbl!C6Lr-^O}$%xxkAE_ zc7tH-pe>2dI+ZpZ$ex~l)ieCE?_M>=JavphU#W~uf7Z4x13~$0$$+^!e?6{Vz9?bZ z6L;KoXUra(v2565H!8a)B}BXXhhlkYE7n&wg`+w~O8exg*%%n;j;XQ!7#kgspA1~l zm#>n2=-x-;SAO|7r1y5?jd$M_lTzrnpO}gh(_>O@+4eVNT!QDQl=_~8G{$MInr1(0 zfLx}H@Up>)z%0fl4OVdYzG4nPx7@da-&K_66^=4LJ1)GJ*Wy>gRGi`e_)u5Sol!;K zS8W1t3g>xFCRRRjPBi`DsMm=*XJ!NIDly;78X6M?*W=pw0ra-!?C)QvhTbKrAJ@Lpu z8Nr;3^QTWpIiHXspNR<>bj-li)hSxpSdYbx)mW)-#%9Q<>+g(%A+@D}suOp_Fft^0 zFgD>Ys&VM};Go+2!Ior#URJaMm^Gl?qNTdJF~pKjTI<&mkKlId%;?4)7+ndLvkRiV zXsYVa)gerGSb%7S7n3*8ZO|7!q7y*}Dg7;{2(PH{p#JG8A>Ze7@_=vnCnvrjPXQrl zhXl>w$%~e*@}Md3B`c9wuS6dlJgs+5S3goQPwO`GYRwl1Ps`9ekfAAKlP?r9(zv{` ztS`sn>O#yfUyaq;l4RDlWNW8Kf(QEgV{m|zJqCR=700?^Z1(AWuj+*_I*yNy z*myjF(J15b#Ec9_-^=Nqb5nVLtTHq)Ix#+HMC)mFET&|XPGX$ONSzoSj&ZrMp`jR4 zo}+^UGGYf}xW8YnFNUN)@=H$756xEpA_3Y^SpdYg6|PFPu_;dEvul=}gq4Hf5V$Y_ z01Zqy?u$nSCXm26wD@O^`5tE+Dm@jZh*pro~OSB?*@s{O+BO` zNf=L&SNLW{k;|CVrHojBHW@%E6Qm$3;*!^F`H@gyy+sGe>u+ z3oA2XR>eM`~|($7|)>qGf#UODHy^ z9N81lOAlMUAf^WUBy>2sh&6JIvR$8_kENw$k8<)|bd1f}lP7~i)%yl|V|->Z=1$JV zhy)tAZpb*TZ*BM!qI}kKWqB*EUYz$CZu8eRWoUE>zthp(u^o4w8j;`}iBSpE(`Qe{ zgaqc3PhE>^SFgwIx1Y1IiV{3~oZkAVtEDc3x3;kvLlT;e=+?80lWiF=!sn;~dO<_a z0EtE>lax{Cfn*JaTE!EE&aKyS541j$R)O@#FO?@?e!%mPl`{Nc8ZF8YVeOHYYSiaO zxhdQn624>fP&~x0bVfHja{VS#o4m_*LO7nwvYjk{lV{1UdZRot3RmS))^5t+q)ozy zJ9{#C73<&eHl?EN!mG%FdQYFn9Wd-=GXk8Jc@cS<7%^3iagx=L%g^ zhv*Qsl&J65T)zfgtQtDu6GoI9k_S1ehT&G|n4y{4O(PTjf!E-9-eQEoD}Eh7jh>YZujCvuK0DEl;&e$k-}1f~sPZ%INR#+k4p=W#Fe#&W4``qEbc!U>-(3~VPA~>j!o6`t~yaNEY$(;@8kF* zrB8chbYJQ6+2R4!Q-6>6pP4JwWlvW}^w1_$oOI|!(M)I+NAYof7PhVd{DdzqDJZ8r zED0zq?nMA;y+o)ISH&?xR17jVxXM}Zkw3xoQwU#$a}&ygu1Tz$z=e5!fH`gjnO+hU zyy!u|R2J@LFkasnH<_lz@vH7(&~jg(^&V)&rS+YCtLK~1E#YoR7gs%InpqBBBp!)N zE1(z{*~Gixsuq&QrtS%iu(qI8n!IMz68aS&FW!6IrmnMp_rbVj+3{Y zh~uY@#lUc1Y}VH$1Q%j$eNk!E6jg1A>B^e!m3EJ(PbHEhsQE33VC1?1FDJy7Z32-q|((@)(%%)Fp)LNhY_E-$%!~)1M{Re`kX#C7t<4C9>L^us>?Dk7g#T+a%{^m z+Zz;4gEHo1Xzq2(toH6<@wLk2a>%(tju_~CGvZp-U)OdwV|%}j&1HO`4I5;7dZ29@ zX*|;=9psRvrJmshXij+XfxI#BGLQ^6bq?VPHg}<;36OgZvh$EK86aK4Wc?ph%ROMH zJdHr_g-h~Yh9@t`?GbkBQ*ao+!r^c*27Y&5`149M5Wdb+xJ#7y+A#lupZp20^vsj^ z$}jWgHFwn$NO19g(n~Mp9QEyWb*v>XcWbe>vlgrM>#=cgT|BZ78!;ct2bW^01;Xv9g94BKC7ujytdha&g zbbPG~m*sqZ$eMo%z~WFFEV?HHn2ak!;W=`KkjhGQr7ECzaVbnzZ$grw`71zLHzS^c z0pZg0PoMG*Km=xdQpVp5g^^j|oQ7s4C>^>9j#cFibK~KARlc44TC#6}XM48dd1E#= z=6N$1ttLUdUYi@GADn_c65s6UMT&w>E z{8ax*V}(irC6G@Nu?Ykd&CGYYZGG!BNWyWr;nEu77NGaw+!~B>pQ5WQ}` z;=@96?j6Ssv*0gY>QY!KVh-=^>XYFogK=zXJZ_V*cJ9J$F*-3A+cGkjR_0@MeM$Ah zSAmp->Xy!p1(O5~EZNH$nHci$jPPL%F}o){l`bP-V`D>E@5Pi9@A=zqi|NVnn4BDS z@0!ul#cNj;e%;?N9~~W*0jeH4BkjT;qi}n#D?WVhGx5|@i}B3GtI^wmvD@%>()m)* z%Eo3q@bFXdUMC04A2p!x zpn-X!q6)dNQ6;Z(X1@W)3gqv*vzsXIH>i8uL(H@o#b zIv@kHWdxIrKBtb)#gzD)_2D(~_Wa6H%(F3LM+Tb=Os2;VhPz`=ou(ZOP7G=cCh)G> zGP2v>xt4o5fD;Kgz6@itzPl4!k^^duS>GOw#8vfQ=tU`1tsW(;ez|d|mH((u#}GZ0 z4{IeA3DJbyu%Tvsn+6`hg}C@5$4Z9*Kv$7Z22~=)sluy@50IYqVdYnFNf6%1d?8Wv z1qm5X{UfdK^%wtmaFVqK1smm00V(9$UTFW3OvnOtT}I&zZ#i-hj!0@2sKp z9t9hND!b}7o$l2Z`Dz)?hNPdHuK3yMCoUAP7pHhFuB-B=94`c=eqJ=VCm;eO@l%19 z-a>w|QjQ>chFDc~I-^!}k{P(>eZC`Bfhv)kpfI4J!o#drxu)==_EKOJsO|NJvZ>S%K4^%q(hI*Q~HExX5mpe zls}4z^9%_mB*dUCj zTo_vJB&a@IW)*=>52KylB&13y^#PQT-`sh}Ix&0SP|tvATh%X6IOzt0-9$TwB{;lV z@hf0D=>;g5Ed{(K2sF;%@Hk0`?h+IwU%;rqo0W2cRw#bXYvZdBoMTBnaKJj7Z7@1L zZ6!WNfMS&P@ZH_=#faVkDoMszZ%nY>=eA=pb8;fO2V~T3EXI0m)l)v=Hr3O%@@Mox zN^@6+q0{S@!HF?1Kh@#<{Cr%xeA$YNMf?=*t#7#yr<5l5!^49rL?f10BsBMSVqu9d zXKYL8GCh9~+w1GGxrX0POwAsPzLA+&Tv52iT3o$6AL9cDadLJlW~QfNSORukM(KOs ze}7z=UyQeZ@;hU2Y(mBdi|n_p&^Qu_DW~54L9g57xR71BqlQ$dO$Cf>;)57`k;$W* zv{}>N44@e4O85ddKWDgv@-9b-;O|Nf5*~qIW2+@iy!lml!CWcJ#WxsdIMO0KxH(nI zB7B)j@6284oWII}?`17NJeuip&s2Kqij}g+5 z9h;4b@ev)=Bl~ z!?)#L4p3=hUwE-5S}dvO9oK_tDH`%0TL7JJ8LD#l=tHxcBB*_3^+FuN=N&FV@fCm> z59*mVfrB6Q-bwfLoMH!uR`m4@= zH=XyMLGduNMI$mChlPK?V)Uw>CA&K6vDvc{oBdZ}r*A$w`nDw3I#Rv~7doxo4e?Wm zj})iX^@ciL#dY*WpB&fTj(*+a($Dvu#SI*~{?5TeH{j<18>KGrOioJ@{zV$=~@zN#36Ct>ZQ%1tu(spY?*P~Z^KpnWbN^bG<-L0ePcof%6Eg`i9U zQ-n-2BzZI)<)S?K^F0h+F+A^E<2*mKynlhP#->8aY4cd&>Hm00GL z@RCE|GPM9ub{ki4zkoC7C=)<<>V<~RC{#`-G^$au93oF#ULAm-Kv03V&q7n#^B$ut zkCdQ(Xynw3%O{29 zjYoe(10P&IHS;ZW$KjW>P6bb!RZbDGw>S6a?D>{^ynji;{2@7 zc}L70pOMioVaEDS@mhxr*uLJ*xP0}xM?m{~JN&hu`lgIzr9u6G+vM!=*p;B)-aUxb zm5msb5?^1LkN3X!199)Y55~ifJQ?>sAa~zm{zPT;48#-9T#w~d@D)Ba)-@j}Zwc~z!j zX0PWW4|zzwC}5eu$c);8k32aHOA3jT5|*((j!~YRN@u-Y%ED%C zwSdxan-fnn63+U!KBa?!IX5+#BbYKS&z?H&ox9^B!_H$%oqbP{Z>+@%hhPiuy#c1k zt2LP7)qRX+8JOSjViOu0>F5H`~QNQd~0dNX+7 zfg$Hry;U5Zva^G6NZ{lz(k*rf(9&8ey~w)^Ti`H#IryA(MZIjR6vlwAq^_F$1QvAc z;dSG{J=N#3q(Ag!6Xvd7Y>MBut@ zTgxf&vF$*$5fS}Rf4u;_WMk6}F>5M`AmhiCu6w3wQ-LFh6r_qnWvkii*CZmhS?%0F z%*xyMdT2qOg0ws~;Z~mVI!r?k#@CJtDZ=tr>17=M#FRYSSAH<48=ceqC;*(QD;eK1 z9ldL!)O_zK)eixh#%AK#3@<}ThGrgr1pe6w+#8b+!_SN@CZsNa>^(y_KjwSYk=OYt z42_nlcEWtr<$gJU`W5-SF-UkrHw+4DD@QqUD&2z3y>co(>z1=NJ-VqnkXM3=?&3Eq zyICK;>ua^RKEEWsl2Fp~g*z`O zRJYO{@uni^^x#MCkKOvFMJdB`-RG=Bf09u5RYe~uK=&PVigd=#!FJTu(WDSb|Kj*h z}3TUE9~doFYm{0!{@=b2z{3{A69%7tPO zf}7CQ6`C`cQg|(Glr%umpYjr>xfYlXryTN%_>vRQ$$UX<2PRIsqJLXZLfjgk4jY?} zm1WL9JJ*|CUbun(yre_rtm}S9GP1t46SehP)VI+^$)9KjPJG}@TV|}Xo%JXU@tGRy z_Q7tfHMfg1Xo;sbF~?sGG}KXg)0p@ z&)Up{Fc@HN3tSjgb(O-f8UNJ)hzRJnhtd%3D1R;@mk^_F^qeD`lo{of{6L-g%Qvc{ zJY!I_D8i2N+lPA|E8ftLYH<(T0mSt!^+e4Q&PJ~4k>0N!&4Xq72LsXT9^GR_8LKVH zI3#YNCD7c>S!Lmjn~pc0*6voSDkB-W{B$a$+z7!4q!kEj&ddi@7)DjpgXZvS3^9z& zJ{g^?!DPeFz|cTU%uK}b)5l`&)J*gYcE`%bV$9E9j7=$8>Kc^F2r21N79p)V-H&V6 z`0B-GmO(w{L5|QEA2DsNU7nBM_|@Nzz51R6;9gw4zG_@&XUAh-0Mf6k~uGZpB z&dkNs?C}^H9gSLTJ5EfE#AkozJCx>t4cDcW^|<%GhvUk%>oGY!9(UY%M=UO`dhO`e z)|TtFpLLu)12Hf%>T@@b8a!KK`eeI;2ccnZ6w-S}7YL)UZg;%1%%zsoFWX~27m%;z zge!{YDjac3Ud?#TxTOu`yX0A3^W=`Fe%>Thb=VVHco81z?1>(XOjdZApBddm!KZG> z@*+#b8!lPq1OF9py;S#HK?5fY!62{7pRWnAA%YH03CE4tOHGFnBJsCkz+X7p5bdn& zN@txgaq|m4x{7bq=yL>9ym@?jGR~fqfyo+749sIQF)=z~e3>H0z~q>s_5Hf1$ZcE> zsAE)Z@@XBxB=1%OGjVDfm>9v-YZ{n&pf($GkU{RmQ7+f?(ZU`^3I>VldTU=suN*W; zdZ@ZpuB2VX$084-obUtfm$q)Kd8dncOM%R1DpbX4hzP~QxMi>^d5|e@MwC5bMy@UV zNi?3xy0A{lNzxfqm~V@P}g1t~h5C0~&nT1h-$uiH~+Es{-Q`Esqydr>;W=CnrCI z494&!?>Qn8uGA$#eNUxS;P^IroCNpo#)S&i$9S7Lc( zB@Uz@Iqbbx%G2?cuQ#MAkCoMpSd+1dwsf1E#e!VBc7r&Sr8 zzxeaN9DNc?Z~epzF*@4s%|~0?xlmk>}Q39hZrJVxM$qxR}Uk67Z zc~l5S$#z-7liOGm|sGr&gpR0q7v*aN>( zkHn#@7@MrorG5JNoYL-P+_7D# zYMb8Vb6rLzBbarLB^v7SI?P=em^)0FV=Ne#aC@ii8icjRtav^vy zF~kcQEE<5Teo7+4DFJ`Bl5$ywBCjY1`DDi`bzsY}9~wbXc-_sBbWO5Bj5XPjdM{azOcb36vap=Bxp0c`IX6 zb=S~6^;>J~#%kwsto2@tTJK8i^s1foZKWI7QpadJ4hH174yyeO?L=d6Cqma4mUS!F zF(Nm-ADtun(KU)w4szYNu}1WcS8jr9*r{*%g7DIfO*2Ol1Slh$Fdt0eVPV4XnlSn^ zvGu++Gd-H%zL+u)ECJ%-9JvDDIb0KxDKbnmWHS(c#keZ27|Q%gBA?&$-)DG@54%5qo)KnwY$JNgYL!Dwcb~56tJP?XVAPzi7Qep_w^r>GI9Pjdclw8D&eOPiKB?ush+-#P5pW#*t}Uwh=2p&a#m&KzC4o$BPKbL0`1`y zIuyYUE{3GgW$X5W9-!J?~B#V&G?mHdyn|7I~G^AV{mXt z@p`O;8?ozp+mW*CRL{S@y%8V!zz1VxWi>`PaCr83OioV8z*IWduEd4Y(=k558Jb2t zmgX1Yu?O#q*W57~fAmX!cbq;o?Tu1(xlxsYPggP>&o|qT8Z0keuPI{+AEL;_4z6dq z73>U!+NP~bhRf&lEAMXdlgo7RmlKhBN1jCv5-M5g+4128{&+@i&;cbZMrTpLco5t% z^bUISH6f8@j4Cy6L=cp!MQ8{zsMBIJhLVUt&UlaG-c~`vl!uhyx<~A9ar>ZG(PA}+C z=cg9)tIKhf1GaZ%U^4qY+#}`O<6Y#t>>}3>1BcEd?Y4CEaz+Rvv#i6+&Lm}K1e3Oc zk;%OWLa1k@fqcgSmNlv(KA_Olj7JA68*6b*9lhn+a_lr@umm3sDfCDrF_f}X-t;%# zl%w*Ouj6sYS9TDSKz1Mi$r(l934RiHd0LsPM=R}5S_yQ>k+3Yqp;O9x(n{l1SK+j; z4l5m5=Ur7O^f}a<0`daT4d}#j&kNGQ&+SCv+>v((W8?Q8tSDjSm;z_B6nWxDKC~le zujc~1vpY=jAa?gyDzPIRLwwp7gEBVzJ7jR~4n_B#jLt~IvY}4s0bA029(soQl9 z%Z+U5DtWFnVrWx>e?vwoZaww~*6jBBajUW0zY=_1>V*J3_mV(Oqap$onu5a9A0i~Q zK*4x}kisTuUr+_umZc}6m-`;o5mg}r$m^6b7+KS* zd@M{6h_nj{EUMcF<|=*igdW79wRyBf^@>qQZ85@$kh9Ws@)^$+NDp1tVkCRyleoUm zx-Gn1oc`G#K7oGlE?&g-D2tRH!rh;E^BPXI3FVVv(xst_um%m`uY2NpT2w;3d~pb) z^Y%N=`7n6Ov%a<(n?B-5ag+~=h@I$+C|+M!5j}RrquHThXZX`kJrnCIYcY51n5WRm zjj2s=yE?xtrPCRG-Mu~zsjs^c%Zu~z!S{dA^*b{+86cV3!Pu$ru{s z{7rV@Z^gB%^Rc_V9iQ^4Z;Us*=`~Jwb7M0%i}dx27L0aeIgb*+?^(ts?GlA4hvne~ z{zcyC{ULoTD9^2a0M8gOH}eN_uRzA3JruuYTKNt>$oN2+V#K&82fgc`-emj9TlhyB!(CKe`7w}xlZ!2dQM{!siMk(L(ErF5vT z4!-L$MmLylSNM(|8G-{GBhwwjLw$0CF*wj41LCW}e({$&EYtxbc^tI9xVh#L%$y?c z&M*1&vB^ieP54k|xACeiHjPWJX;>m#bL}5;c}Kjz>Cd!sW@Q=ir(ob)*+YgjqeOr4 zYUj4XtulIh^l)`$Ii6aWkA>Ps>~!$`Z3Z8NvSk>xWlKP~i$2IiRY>YsG{4?w0rSTE zfq10mC~WdsEA1Uj|EMp#;kA5S*&Dhq#vH}yas_IwtAdxv?7=D?nT90bs- zhPYr??PN=`eh;G(-IUYkW%i&Oep4G`J*TvaGQwe$cB_LRgR^5TYF$fmi?P|c5bGV+ zn=bU+z+I0uxmB(Q3$c1|Jyvl0a(n7*w74bQ4sIb9ea-u&`hq%lFT9a0Tl`A^3&he` z1SVqTAe2YXsA!0JSivGT!lcDiyQho&%bA+z2pkUY{RY-)9+%4=Ly;FO<4R%yfVFmO4<` z_I7q$&RkEExFQU}9mtV8MlKI*!1PPuA~0Fc#1!Vp$f%7OMu4`Zq%k_^Y31||`DNp9 z=61@5dO_%7kkG4_b%rAE@5i7U6t0NRqXR~WcIvw}k~d^nPZl z;+9%x1e0BpjC7g`;zh!cKR7y`y@jJH+5Vy#Qzxw9!{GETK!{CRv?J0|IG5>WNBh(j zFdtV65#&rOm%k4TJf+T(0k6}o+6cHXlIpc>R-iJ-<7t=FiRJ+%XDoOJy2C*NG9FQ-_ld7ExtWXR6pf|=Q%jQTZ`o_z1v*Zbv@QtgV`hF za6mGlb(4?sW(_8|(e^Ae#XmN##Y1Uavi>sV3T=tbjyL(pF@nj)ORzsQE`=|6`c_Wa zM6XEOv8DF7vK6}vwb)s##lZ#x2-L>W!j{_bhT3Tdo%P6*2&mse8vs7?$sM92_cqeZ zTNQr^M7g}`vG7WH&ok-aZOSSxHG-@Z*STr()=tT=B!U#-1CJ;}bL!E)@M-3e9pmIF zh44MJvY+1DAg+)R=Gh+n1Crm#FYN(3`?@-7a1wpRe`%n~OYg9Cyca@oiC-YgsPws3 zey!m6{3pKBWY&d`VAM8i*1=m_l7;Kyn{}0Sx65myOJ^>RUq~5}=VQ{rlRWbp&Mq0i z9kI1nkCpmrEN!pEvfZlP%C`7k?P8_AF1KN~THlP-9UOoo^(%%^9M0RSO>?59|oiswd)>3k}1#8(NP;2 z6BCm$Jv|+Be0TNu@i=wrbeuhVCeEKf=R;RyJY4>QLQ zQ@-x;VpLW_4XP(M@tDGxA(>|E!CB^; z>Z_ZvRqu?Y)tc8KZ`W30bfi=C8IIMJ<@n$K=V#)92k(#bue}g&{q#?b*MGw6;^gtk z7?i9%b8IpuMu%cd?)h*fmfmft6IqubiBY*b&=osu?iuWkJ)V0zVo%`? zoL^}RX<)+V#pU|u+~h-Bp@V~gS*vY`kGG;O9?woXX$fr{Wf8b+^5;-(*|yPDSGd*f z*q+~rx{S<&wY})x>x_ZUz8K)tgp78i;0}+F9;8u)=%i#9Y1sIZ zv1x|DLqPbVyG;-970(dgZBF-zFA?%NBWGT0x-9XXH~GYjjAepD4e z_ykH={i^u5oK<9r$WGLxqqn8Ic6QX!+g41;!;S+wpV=lnTdVL~$%?kuRSZtnZ|@kVcwwCH^{zOnd|f;AuIYA_j@^OUiI^G38P06#DlX~x{P0mp+U&h# z)fENCS{zrlD!|j|y2k+!$-P2VlNr{YNrP6G|7hS4)ei~PZI$J-py1L9B|Zd&p}Zza z1T}-1xJhWBmL<%M*PG$FaK9Nc+)aV2M;e+i_aoD?-8On8 z@cR2a%2d7?J3BKIXV0CD@tJ8cJtS8BV{GVtePcZq78hev%6?47!Rs#E75Civnz;Sk zg}CF6yW;NG-xC*ZzYueC$7E!6dBpRMJMOSMbLLE(Q@Xd`em?HhGw!voc}=|jb+46s zO}zHCcg1V&QrHXUrRdMZ*)yjltOktxQ315xk%5AO*ioJ^PD%6WXD-E+`K73-*S@lJJ)V5*@p$l|$KsjGS7dBn z_vq%TjL(hD?O0<(r!zY`OACuC(_Rd#<1;us5SOnm#83SAe~U{`J{6P4MYp%UGv4^N zH^uE2j>p;Cj>p}1o{rm2OvdY8e?Deqe6k6MuWC@wj2i51ZN|`GKZVVLz6@acAy1%} zT#-jOlqamhx6(04pc}Xrxr+l@?{9`yZ|<#R&!oh|0C3nU8r<7%TJ2&^(Nb za~Q6aLwqLV($jhdeUP=pF-;^xbwU-lub#hI8^i zBba5)H@akdyXG~Rxyfh8a>lcIO2hiMSrnB;@7E2@l6Nl z2v1e%3P=yqdzk@Vj*Bs+>p{}oBbrLzv!jaYWk9qSJz@lsxz`PY3s1&{2zez$hDVoz zL$L?APnqeUJozu%3{cuCaA-#m2*6to97sRg8~h}w(xLtOo_M;q(W`X$dYy;1Gil@O zGWsWdBEHzKi5Iq1FC?h|sul5>+NB)DcJ}f|rl=Ik1pUS+I}T&Nxb)kvoSzTFrSoY4 zcHBRYQ@nKKS0VpA0A?=Y|XzF3N9ti&G76T zpABZpDiG)GNz_HJ7^qK;e}EAw34lH+-LVOj`BaRKkH_fPxJMgTmX_lq?|*;1_qTr| z9(nAcSXo_CQ-bM5W(ltY;a(SWFR!o0!qSqz)yuhZ%ZhjP>g8BkUQiEcD;kXAsfXXo zcdREyWw_oZ!}46*b?5CeM9;;!v!~Em(y_-xF~$gr3giP6y^AH+Q{$jB#a;xK$M zaI#!S1t>+%Q-tO$0l0Q8jhMaN{n)8*TZ#1b4GPCW(Mb5IUT0^g;w^8!M@IUXXf7*C z|2Y%v74iuj7rL2^eCqtBOu~(1SS?4yvL}J3`spG zWrSD7BPb&HNzM&XVHwFgJnIxjK$`4|UsWy++wD*27v^V(qlP6F+AOAl%pP#t%;A(*;9>hBADPV@}W1KK)nsfn8(mOe)5F) zXPl@W1zOwKiVu9`kyu@=DP$uqKK*noFD!WaD9-`SIdA88lWp>NjfxX=DHRgETeSI(M=?$-s6{q5ahKy zJABK%ulltbm-=@o|B7GUD{xf@#qSXOQqK-A<4pX(v+0fuby(hIT!;fdF}lfGGBz=I z1A}=?@8nEFU-8RPPxEGl13+6q-X7v-956bRzYN2MjLW9Mnd{4Oheo=7&W{3?wo11*ys-A6CSV}*q&aKK~J)#$# zYE#{6Q{CG_ZhbfEGBCHVt;g<4UH)A$*sD%d-$3*!FJ%zBGFlns=iB~uT}k_>VMO>$ zkBq6@7(?4>)X3koRsnI)o52i^;*GSnF( zb`;w5*G(Fsx>Mcgk_Mr|fr|}0Xbuh0&(t|MQE7*Gk*DwhJ-zS-STV|>4P$?o&cTW5 z_hSLur)Rmi*(qE)waG)L zI(tzLj9(aDT&Na6F}jD1Q^ins*>II9gpogv-W~OyRSMC>47w(%sygSHis7z>F>ZjQ zy5XibhhS!I376?+!uS`Qa1f+~x2s|RU{?g61qDvOA|zeTo2smYDfb1BOsDCZ!dZEO z3wVH^1B>2P+)aGQ#i=R|Yest1kl0n}&n>FwJ2*5dqjN~geL!J4qb5bZG=Du7F3V`V zaxK;u7GrH?U510w=~hp#yH9M`Ey2-R0aGU%Uj&B(6?C(TfJz}OSjuNOp zc0khr8SUlkIjqyekfHk7;q6UAg9EC^9vMSpGN8}KX&KHa9n(+r+L3{%R-}eqkFCvh zC9H~+(CwD8t8J{t$_fXS@0d`GZgxr;VRYJci(ll=uGyq}I;EZtL0i?AvdXJ2(7g0` z%^#u*(@DF0{YOR^y4D3GIYycku9e4Hp_LEaN#d&V6$2-YQ#lJ^h*}KJbQqjz0Ag^0 zA4-{N(p;ZrBNl~DI!YfP$0GC@Z6BYSh}mPaF*qzf72jg0KJwVpKDb>O%6ONb>S3tA z-(`kITySSh_5*^DRw=b-zRzx4(0me<<<4z_$TnrT6%fFMpp~%ERR$VHaO+5 zUi>8wn5n#nFDlyRbMw9xZhV(6sxA zawCIyL`El9OaDra^1}eduYi?f0kW*v8QFqS(xDDt*l~~I&$q~-g9DadO$`Ky+=p>`&>U37igIW#DTz{EsFo{DwVN^03RL;RHYxWc%<#>fJ7fRJF zk4|+GS%Z17T93V@?bun|ihc2N*IsAz%LvE7>_w<5A=ca5z?9pmi+7nuR$@Le#3>&w zOiRC<8k}iqO4M{iPU&jdl4ra1SmxsZ>cH@M-P|lB z-J|=>&6+wl+fiGS-@0(ElMFS8{6cPL8srYfpeu>FZi-(M$#S1$(LL$P-2mmKpb)mj z%W$h_@C4@+kcG%q$m-&}`>jlvm_40ES zo{R3w)X@!%#&{5bhR34wx<|bjxm#b`jE&WeSYKI<_2re=lme}9sQ0tB5qmN`CwhnC z_7i8~uJd=r>+gDfoWJdS%uLNmunwvo_+E59<`);@x(rSXj*;QP7#~~23H+EukcQaO4Y`?J_^J@z-P_M@o8L1Z+ zFUQjy`n}C4*3ki*c7}#WrKf3#&^ixHX6+{Wn?s5*+J|I_PEU@<-LJbN&Yw9M1AQpJ z^C2>?bXw>MYgK;_-i_2R{+eZHiPQqk0FI59MPWPnxcxB!HdkdSc5 zMhaGL#3Cy~foJ@ov7hzN{G$NyEStJK(uwj!_?mU;{p+3lJ%S1!R*pDjL=t5Sz>AbC z`AK}GlEPJmmwgr@BM~+@Nn6=?9ZoY{z-gc?s?i@lRmo-}(sh_BoYPf3@QrnjIhvlC zjy@TbtoL15T8$5WT$=N=e;QlBbH7HqtCQ}Rq^w7Z7Y_SHYF*oy_h>O z9FrVxq--!2Hzj~S_<;xFUH|qc;^7A#j=}NcGW17ca#Hj^*pZRCqZ&Z%@5=$y7iB%9jjs4vwjw*JO3@kxz$hIQ%lEu!(u8Yqt2RLq=zh5lr{8bWbk)FgEi(4bAM-(GyEB>O@x_q)VOACYa_{qA1SNslw zj9?stz|D+VT%?h_6JYA=KSz{1fkLn<(+_A%Puqtb4R=Bi)SxoH4hvKCB#%Pi=L zw?G`~x~Ep4t#z$EpTRR zB0!tbfAbm~BiU&A2p_uy{t?KXDDwl)7?#Or@EGNV$2@utpHUb1W0{dcL89VcM1L3W zR4M!j4Y;14sjEhXd;G{X!Yz~ zh7g6QX>2Aj31T`>?=6K+z>{nBEPvlA0%36pB#>an5H#Nk7BJwi?5OLviNR>9}zILYzB$yN{z`I#fIzOPgzPap6ilarJ4B zcs_FRv3T_271hAH^>S0itG zdvz%SWg;W{nWvtLtJki^n(B@(ZJ7SbtBX-i8J?XI)U4wa2|Nnv#!yKZ1;yKO;EiG& z0!;h4=P!Oc6m<&6Tlip)B?8r`jSupdAGqchQFulureOATl)}M^g+J-Y6aWwSy6`py zH*fMn7}{t+sI$a`tLi|pfqg^0`Niu?GFTfiKGyFtB5(Q!hb5f%;+KBu z{qbY};$O#8Pd*tlXHLf(-u#9*Ha8cKKl*rVt}UxQEX7`u%IB3DBC9)E{=zIW_J?}Cc zcqR@U@a|D3`GFhl!R@4K2MXjoGY)MH|6LiJj3Tn@mrXr2IW`lb+_`6ZJV%#o)F>X= z+c_m;SPhEQkLs9dTa3c}DCeM=@Rqnp)&V0!oI)ZGostbD>l@>9Y5mYZxFvRnG#2$}ql9 z-)4QosMW*GP|@XPu+Wk#%mCaNuF6B6{${C#X~jHtFh+(!@s#5%d2Oy@8? zm{|D?jtu+rffzL&IR$_6Az9TswAroi_*j{XGKf}|7u|#I74G9Bqj8%I%GccWnz(S` zj+mBF#;DoVtJh>WU5mxVrPy3w_m1{+GEOhten*^E`042>=ec*Vqh7v*vII3fy)M-O zUyNZIbbNRurpCr&W^yv-rl#VAjNB75b1~4@FU*b(*g?Rd?`fb*`u!ihwTv8Gg z<+y%*A-1+SUs7R26V}yoBvQ8xPWS`bL+cbw0BPy3V#}mk(%Y}iPYw8so$lgCX&$#L z%0?M;Dn#_xRoWoapxvQp^&Wwog0O0%N~^e1PW%D;!+RtHlL}u8q?S15Lx)a&wUfVY zbJCOzKwOL>m^goJ+G_r{8N?8%Gs(Idr*LiYlB!LCOc4@8@ZICJ{A zIzkKa$dl>}sV9H^+Nx;MAzmD?QJ~DlyZf=cv=Pr-U5uamx!;JN{i&aev6-1Te#dM4 z8Oke{R^qA0F2=45iFI{?28PsW5S}i(a8G6PazZ5^N_|q7@CkG)vOy?{Vi`^`3ZLMB za^LD#pw*9yozk@|DS7$5T*Y^-Y3OZrm%uZ|7k6odB`*20@CRkenZL01d}IgWnmQ$Dn9fDTDryv2GqI+|o-{bPPc z-jW{P*@@))(TrZwLG|btb;Em5p#4_BOoWdqq7zV8xTRXuudYY!+D7be>_tyQ@=!(t zn|y3ws=mpec7bCJrl-i27Hc#I)i#FI(YJvqIhqD$#E#m+mJH!FpIiGffGVexvqcZ; zsv*ge3JdDZ@&MYnPODBE^`&R(6#C@GL25Va5L)%B;(BG7n{O1*DpHY%f-cNaO>$G) zv{=;LlZ9# zGPzvvfASu=VxYp4oXKo9(LH$a0gK$F?IODV%Jn&gw`SB_p_hM!RMp!vLm|N*%V0x5O&R0FF zBrdD56*^pniSDx$-1~diE^pRL@na;&%C3|<5j<=J0RE+s!P|}xv%|>BaBONK=1v@o z;W2jD3MV%vXaHVR(}6!T_RKR+$9?zT8xKGJXk5NNA6FNz$Kv{G>?n-^DgR@q&&2HU zlhLVO6(gKiFJFpl7ca##k3Jq(pL{xY*EeFke;`iDXgqu3WSp8k7AI!s;-s#p=8ngy zV<+OY+{t6d z5&WzHW7qPT)5oL~sW-U6T$0L0!i7;yP#+!{Fx@#nsT@nGEZhO_G2^oed9H&&YH_$!y$TP9Awh=p9Yth@a>ow1eK+{mbnL2p6Amv=M{!N3bE-@;7*uLmX$3m2H z8_)ODDU_(f$`v?_U-_Zr3LL(Jpw%p!+oQZktH??F(S^a zMLo7Q)?z-$yzTn*8A*GA)34g=RpyB+Rd3Pyr zx6kErn_eTtDFz)I{-$1M6fz(x5IcYpGlfg(Mb(VUpK&!li zaLCx6Zlz&=_zT`ax#?bBX*BXC0sgo6F;6mm4vmuk2upgIRFN^lN4V&d*RfH0o@q`Yz$Qg$attd-x!oxbB2%CGW&XlZiE(V)=m^IN%1Q5xs1q{O&uAy@2>n2vQy$qCl8Jlk;^PgK zc?a2#UBa<`=v(BQD$Fz!uFmzj9C2UB-4sU&vIz;tJ&q#15D@nz0V9A^R_++1@|1{( z3GpEoUJ%I@E<`g#Vnf4C^_2jERE8PH@$ujdeh4guHjyB@DQAW$jSt~q=2bj?Y1|P^ zVGx8>{?M3b8i&{S@J?wKI82XpDu)q^GWC%!7@&tnXpWG%B*~+8`k!g=qb#(Jsys!Z z15M$c{!UW@ioAGs9S8_xJW5>MQ?9-J9c8y&`o+pVd5G+b53-md5)db@u2V`6MD&Yqfy!5*5o zj6(5Mzl2SnXu(9kqWsW!+`3k=RY*AhhwwDOdNu%6S=F7-~d)RXX_ zR&-Toi9>?Pm-@6orky!%buS##FonM{hS}giTPw8Bj^EJmkdM!rnwpH|m9==_-pAtP zsoUb6pZw-{%UeGo&fk7MhDV20FH9>j6?za0E9+8v15t0V+3O%)^V-|u?QeTye9~L) ziBEaQ-SM_hxFg>5`rG6Dxznn{{&?SS-5(F$_kikrJYM&vH^ij!dg{@qWGvL9zJ4_Z zL~}Z&r87+XemQ}*Pgi+%U73T zXRQ_u*6daX4mPByK}$tadEjtorP@~BV&6{5vW`u4*j6Mo-3Dtq>9*68N3P9flNL*bY0GrBp`G2U$T)=LUcIm3cFRo z{xX~5z(rLc)nye8KM}{vDHIn&Gf(OevGk7M#cm)kLZ?hhWZ)9O9cR)##6SIu@ks8R zAR+G;lo2mTv7$cEUVE|TFtbjqb1(Q#|PD+ z9`G`vUe0l?29g{|u1EJHl7*wJg8b(HPu zW=Fi@7$8gg=J{Nn=ZT{OnXZ)e`JiijV)AcS_l9ryi(g;e-5P%LJ@1Vto_NYNmft{5 zA~FTWB3CMogKm8$o`iazm_f951vBKl!+II@N?8jCP~A2fMO=o^t$^iU7zSa&Z5ow& z)_V&}UZ)V58{>U$sLHUJXc~?RuVrMi!w0<%`_jlv-{Ye z890BdJBu>e=ge6Qq7w1BW6)7t`PZ)dYou_0rHey!- zij5`+WZtDQL0rt>EHm%e48z*Nx^Sni8P(xPB7YS_jjNk8I>$$2cw!<(r>A2?%6VjR zG6rQ-cA$vGgrMXdf-+#ZGLp2zy;{+p8qmIw+*dedr?Ojjd$M@b24a; z3Kkcx$It!jPn$*vd5$O<7#fUuMz^RLmHX_;>6o1wb59#yfkqzfka66{noAk-oV__T zG!k1irs3-DWI-p4XOu{-CIeJT=JahR;@I)Yn3x##1{jZ=LId%lc|vj6otwf&QdD)B zyZjPgf_U8%jYMD`F)xa)2t7%$e)V{{qRd$1MH*s{irf+y6}|mQOt=Al($yn5YHtSe zQF>P1q>YFEK!DJy2;-M)a$vgB_6SY8BUAVtyx{lD%W;ehYf71}M3E3ic&UCIw=#5z z+s~+^cw}pRGwQ0_*}2&`d+wBv^Xj0U#7_e<%)@`+Hg!$_cG zynnDIocV~vmY(_MJ?o;yCo&+s@kG2sn>5cU1r!;4nhhj%0sr7X<6xymUa1_rrCfW& zBSYQ8>h$$8t1iIMRX1=?xv9goyS*Fxx_0WhR~@IWU6rS<_Rdam&Mwq_gHcQBR&AR# zm=c&CA>CUSzBTdhZbKc*uIN>HJv&96Apd0ipd&nk0G|s*+8Ce9MINNik#5p6bxxb| zCQr5HnmWK6-f3KOrm81PKJkL`M>299=o>g(&gBhad#c|9mP?@9)j`-5 zUyAnVdDeHj6n+*xg#)AK*}+QLM!EN-2cQw*Fq%6%^(_8EKLYq$SMbx-+$-CN4w~0{ zRtkW+=}{gNebSK|l7AMVNN?&x|Mj)V z`3wzI|Fo4u7W;EVQ42h9WZ_SKLsPv~i zOq&;6T|Oyd>MYNNlOZX5QQW=i})IABZRKzb~G7=z)0V zk%!{yQ;)~|rDx*$wac-(w5TSbP6Fp+4)%K_v~P4ICXXMF+1pObor!5F?y+OXV`zFd zhULa)XJg{nv6w!2JZ4TDkLlyHF+M#J!z069@5qkB4jbgz_>KyoJ>SY+Ut7y5D)j)V z{rn7KJw}FEaE&0M&Ka43FA#7tyrmHM3JL4S=$!Z~N}>${hWgeEKVQ6jEgpU1>6n{0NV1KPlkhzotP#z6h-pMrmZwCYUDY0CvKWf$>&dS*FUly((8aI>(RA#_7|i zWjuAomFp{U@4b)4rAzZR6loh9!gE^&0d1MK3r}s-cH*IjuBa|{Vq&sCYMXWWZO72? zU>u(rj?;6)acZVNrbasB+B46@eINdiIy~bsHhntoe(URF#XHk?Wqc01i~#sE0{n7= z<(lg^X;EaA+ixZ3d@PCT%UmdbzvG&mRNX%t;C)n`Bl29uL#Eu2m&24ah*iR+pTqhM z_E;)Uj75}iw(*qLG!w6-RIW@b(gs+bBu@p=mFY$J*XbrtqZm1p6T?xQYh9s?jSo}h zjIMb^w387o83alf<&MK>#Tejx;7#!jh8lI&BmQJfBpY|F9_yD@W9fQch36xLjM`h?SMKSX^HA(j`VPuP-fo1anJ0A!Y=r6@&z{1LQ^g zBL~T>{VvHr3?%rV@=ky*Fch)~mz3l_5BW~M$*FS1R9G$+d<2v8Y@B!kZjhy*ca$2aR0-eY z6~mEUOD2-MpSU<_dE0;_efU>DA4Npj9V%lQNx#jyz{vFMD)r*`;LJPhfCI@i@$lwG zY;K7cc50G=wW#lJN>gn|ci(;t4tI#RM4Enen)=jnm!5;iyV;4pqm8K8Gu~-{=yW^liFQ;^%{xJhJ)dgO92}QpSCqvATLa7T2!F^_7Kc zE#N`)tD!M^ft@`lh8pfw56|ZgQmy;3OK)Ody$T43Vp1WjhpGa(Hy{UzQugV62Cz~y zVHFqUmgRy;kh!}W1~!!jzS#hl_4d;fnxKqEf|(2LRHC%iYSHYyo-6S z+Q1-WxVHm;`DH$!Bdp-UBCIJ2M4&fR33Yqx>U@M_tD>)xIecFTh${_UB~wG<=!`r* zgWamUGvidFZWt=mGWjxEz;w-sItJ9invAdQT1^6MR|e5iEMB`7OV_T)%JoGVn@h2= zxE$MS>#@%Qb}8|ljm^B5uw%D1Ju7;q^r|o-nQpGv)F{?gqrR~ob@j}56=!!-jYIkD z>3&Ck_uTV_IDX?9X4taQrAqsV6d0GzJ#hu-;&Q{WVSjASZ4wC2EfZw!KGoP>BlijMYC zgdgd zLyUq_1lC>-vrGuRpz_iN*hS9hB@TY3e&A<1rTIBuX3Y4ct2(msXOIBgS%=9I9!4xV zr*lniRdR7%G7^7gRKP3sfs$3b*_DiDMnYMrydClOPx)-MxuYG~eEi~rv2}1Y*6Q=t zf8YY1MORu+%M;@TdQfjkCMXZH;8*b{1{wOuONAs4R7N_IslTev=87gc=z}U}T3P}1 zK6w+l*ex1}UV6v9^}h0CIT8Gq{Ln4iV?=ZtG+*MFj%Ft}>mC`A^d>Oz7K1$xER4PCkHV%c>+zl@0%7BQfOhFFA6OWh4s8;AAx)ol=g8LP=E2lNYpa_Is z8Jrv`fbj;?@;)tnFi>Mr1;zCEaJ=rqsTdyWwc({|wa`m`=<$y7p6-T>M2<^p#G2}cW0Lq9 z68w05X)WISfrsOICth`oH#z`(GAwJ!gnjwpXy^%_0*@HC%g68G=qTb5U+W( z&invX;RA3m7c0f&6AS@QOA$`=_a`hRd@wAba~YWfTn^=%$`HkzyhXan*Al@J@+d}x zxP^rPVQ4_fksm*@t8n0AH2q9_KoIlDNI{O)Py)DK4cL52zE&a%Xr-(?%4h;*F6+Gs z+biWiAR_>=NW0`SmCLF-8>D(aHa_Zu;5R(gJ|ljdk4GPUJU;hxKQZbh<5ET|{vA8#k2X zz`)Rv8=LR_&0lgo6uFRB$t}qjw|9tG`Fl!C^g;1SL}F?xoGM)JYzR7?v@DKjmU(<6OKPN>J zBpU}LBgeh2oUf`O?H*1=*Rqx?nz3c1Y zJ#tsN8ac6#&Q_;WNl^#LT4q;}ADz;5B!u2Z&+`?$ZPwVT!jPrRtoWEDISgJ=M!~y9 zlR@zU$E?XHRwu>-G~xqB0Ku7MaCLWpav*72vYFFW;16UaQ|B0lv_$7*$@hW9N+xVV82H)#=|0 zI2SkFP0$*Q_iwxBcfX*qN$tHPxU_INKJvu<@!khN6i>}xW%M?N#ztdqZZ2lWC!=F) zC$?5Mr0BPzrUuN~J}W60OibAa@x?6ts^C85&QUVGY^G3UiZ7v|3V@J-C}JNmD7uvj zglMeuC{voQL>ea%l?M!Kry8I#5s(03cGVkkk46G8dnPcHaBCp~iDbh_XCu{&jnby! zq#yZtZIOFanJ-Mqm2?P;@C8b|1mz(i46~)M%`%m|Tk!yjkOvoEl}v~7fH{XG?1!a{ zNBjF?Tn6Zvj82Z}86DI8)L0C2__ZwmwarzRd1z$F8#FS#9ChdB|#(#1Cp#WmiIJd&g(5Zq>F`?-HnW37!Lw{YU_-qa}e$d`1*et|(frjO>{0 zoKgjPrXEsRFq)CdgD@F3L!)T&+%{d6J|jw2@{A-^cykUcpZ@feD~XElJ7fTlOpM3z zlP6zp-QP#92lrx*Gm?f#HOr(!NQrp-UkM~MJY{lhkOL1j+BMy2;V`$<; z>~{>u)=qcqHuy5sOg#PMGx6?U{UxbNby~YeRp{b=BnF20%k|>mew*Q{u*h-A zb1!{Sdt!41ZJRoCx}q~DGhi@U4=H~(y|KPr3>G`ecYSL!He`I_ODw%R4j zrWhF;6knH3J}h%#rh>NXO+MoDRT-6Rd|U7)pG9An)bV8VPpw|2$W<2M!O|GdoKeo*7<5C$L|DFMW#W5YxwVFRfml_ zBsXw>Nlwum^?97hT)7k(RpFiopzuqA$1Xk@_dW4&EXs)CNS4X*sW?788z&~F72Ey$`xo%kCF3dW3nWd%8O!{Ei4Dh0Jg} zmX&bZg&SeW&}aF$rVGBa6FT* zn9~b$&qtkKRsKFebp42v%h|pjVziMR~VY#xG+lyz-&MF#1r z`3~caDOvm(!RYDjlA_p+_kZZ&_|4ybFfPf!VFL=AO_(~TexMNo6T!t1NxWZMk;0)f zwzZ}XmXzME>IB11Vc4+M!$uhlPNf5fFpb1C5r*cDjH_K4XdJncn+wDXDvx)t%P)`l zLJ=jWVSu<3Bmu~Gb1^jemhR@-W^8Y4#ol&ZY%Zm#a9-0SC5cj?J)kIy!3qDn-M|mY z627NX0zVXoU*@c^%Gds?OTsB}8-^ZD=<8FRs7y=;$+2dVjdhF^cxFQNFg`UIQ|hSB zvF>+fHu!$}j@tG5MlDuWHk5X^3`^CGa65DQv<%1vk2nmE4)|!82OoYcu3leozL&4f z$AgbNrp~}hEQ;n=uP()}|MI)lQTpxJ>l{>vlZEtMk_9NPR^NRPSqm5q^pL7|U|7aI@!$>Hs z{N!vZ2u;V~&ll z5rcf_vEk}9nDXyer;pAl1{a13-{;>{J7-FKNxZhW#18Vsn3rQ0`KtJrPvv4@+Hz6G zv|m0PvF8y?)t}NL?;d7W)H(A^n@8!?0Tr%0k^ywo3N?-rSX=EQu5@3K*!7YfQ|i9L zNkvOz3`bb}DR0KhnE60elsyX$LtMQhUHG5yEGr-l4+e?vFx1eJ$W5ts$0J2B%eQ(K zA7Nm6gw;GkxCHnNesh}2*K+#sUUEf_`b|SrIY~z!Fp?`fr1)ooLbk#Y{&abD%YUwv z&71cK=b-Ya+KF`zxH=EQ@D2kwc^RH&B$o}i%*fRxBTL(N`)EipBc>;g z#q88c_3(#dYlF3!n=%A9V{vgU=C3Wp;(`oMzBK~DpzOdv!VsUsYKQR?$4 zF?Og^m5+CO5|+4Zu<1&p!vUU}t;%zhz=!~6mBDMQ&&u;o4`OU|L^PmYr6^<&dgrvT z-DBEgpR*x1CHR>RQalM%)x3>SjPy%am*c5Riyoy{sZ_t+KJ$_3b}DT^ibzRIG2|CW zEVSgo=PY(Jmh`1t#tWL;bahYGoqxt%U38o1tx1>P;IboZxb=07`%)JWATLeP#Np!?6w2&VZ0CHrx=+nZB;M>F*FX*@9 zHH}Q9SEHHw^9ZBv;RE(JMgV-6E%mLomW-c=<_QnO_AqGUX1# z=;~Qc|HMfZKj$e4;`dHuEe_ryH03}>i;tKgRoUUE9qE}o#9e8tELj&hki|XuJ6)w| zgOmJ8OU|7U6)cw!NXGW4Y@WrmcWVv)sV?Z%=ulD5O zI^naUJV~;rA$@Srt+(p<<5aK3^*zhUXslfCp_87I>uGWJQyt613(yq0l}kFj5Gd$N z0~XJkQODp(7r8%jgrB$O1^-WGx|TN-r4V?@&HDVQFxATFl1Gn}cIKl9=2+sVFas|)xQc=J26^dm(TK`H z?+)q=$&&X?SNs?yBA;x$WTi6D@RSBe5^;poR!zo@1k>i4de`#{vA?w!qkSXlp^vGu z#ej7&CTl)qkk+>(d}X9=*S5v9>g8ilDIa!BLQ{X=SoMgp!$=p7{D-QMQ0i0>+|a$- zpZX9UeBq{Be9(hnX2ewC`$tA%Xnfp9DfQ^xQ33|ws0_;k3@FtP>onhV&xM$s9+43` zWIFL#&m4W_P-*d=WPLy9FH)}@c|wnndKSH}%&)|+z5By)@#;#PzU@?;R!3?~{LgX_ zc#QhO0E0Ft6n0@#KPOI}jM-yzvB?OX49-q?Z8r~}X5^DINjp5kDTC8SCp*=ldGb0q zZp)C`#?aDzmw2oPMFkxyKuIN!pky)ldL*o5#LD0#R{jh@ko@2ZkMMdMS%}&}}I3!5#Ac;XUuf+rpdt$d?i0ZYj_%J4TR{kJ2c0#Tlpw ze5a{0`1AmEXr_+M#<5e!;@Ghn`F9xCO&N|G;%%lR>9B4~pzrKauFg1id_3-X{cGZr z-u9L_HaBC#eq?kk=8hkWUezThKdh@+zct3JL zE~Knzg;KAjzDt|80z;=^i;_x-=(EH#e- z`;qZVM+zSm?L4XykPa<@bSMM6roodn(yU?cmt12V_4MRaOiqleqr&-xJu#qsh9#4x zM}}i|Y%FHS$6`$Ux4kJoTbNgSzZy?pVz%g-cemTXWTt3MotouUAGXdpn2cazU@ohT zZrQ+0J%wh#Xk-?H_5B#SHZYYpQ{+9payBq?_Jz?_3}TiW@ga_e^25NK7H+5J=Hiq( zVO5nMDL@y#VpOtLi`D<+OCzNBi5K)pz3wOTK>9kC!oW{(Pkl%F=%7n&lP?n~2{9NQ zztqhYeHEEDPp1W}K`B*)B5tJa5SCl;mhbofz>YU7c-pjO&uA9OMqZ;BNc`D2&5Fk4tjdBD^}*0!7wtabcf?L zMq|Hvl>PmK-mTcv%_u6Pd#SiFFba@AI|J#Na)ntL1=`->%s6&T(m0Y~lc~t1$zYhd zv=Yh!6yp}0Y0M@3t>CahRrmT+I#M*kuTMgm;c+@#tkK(LR7wU3d0{ZIlz@>f8XLVW zrf751RD~aS`6lbr(?b<;{E_|2NI*z3y2rXf{4gr}heh|X(R6(IWojx$W~O3H3V%!n z!`SiJ7?m5*{fG>QPy5tQ^(Qiq3U=#T@yz4*$77E?8EebS@y2`3#_L{tTJ_ejP~Y9I ztGtZr!I84bp(_HuU&e<8m-wT9z#Xb}@$Rqx=7-~bA9^GfmR9`9&RKP&x>V06PRzv} zciyh>sc5-gy>i`492m90&}7P*V~`l399DX}5-1#YpHq0rYdF`l_^%jtC|-m&BQ4N1 zr_YmbdiVq;xa%2gvo|j#+efE?83fVLMk2zB5d`t4;(Ll-Y3=Wb7i3Js0i@>4Q(AB%rkvnp95{n$n_?b?tD}MTCdfQ7vDe0S?b|Bk)%0I$4)8*OHtODdM-#a%4 zig%G0Z~*D>ETgN7b|HDm2FpE0`^9?=$xSI~WU`e!F{(6JB9K+V(i@C7HbsCFqlyx3 z3T}A_E(&MkrkZM}!^5}OyQ5cnr$ZgI9d&A$t;mt|Y)92*A6@y196Ny79ZmaRT3L$K zjWxAR#gmL!Wn+&zIm{wq46%NAoptQ^%kg0dM$(P5@BmNfSq3q{li48Zh*36Tpd%CcaSCTDsKnd%Szf4H~m?_DQqra4ezhaU$W#tNx zKF`F>d~$|`{B3}m{tDySMV3Z!+RPxS+xYM2L;~r1@MB{y@+b|rx~zje(UQ(@@?#p9 zEaQX8WIo9#Meke3%U@js(NOYH4ta{qVkuI-Px|{fFn;KI;pcnB6Si`c6WQv*>M9wo zdrm!=?LQlvmv*hgT_;3V88f5{YWZn7O8e@dv(l$>_6zSm1(m#27}DlE-fhusSBCKp z2BhwGWMHP#lb!4u8<%;_`{G~xn%6x$wI{oL#`sRR7jL`g_r$TOGsgC2_^3Asjg5}Q zv17;L^y!mv+ij;}W=2B3PfB}dHP)A&iEGb15KldPZ#?5)!NnK5k_KlXLsrf(^Gm1ZMp%U_?|@dE z-B8?^@N+77A40*qxB`@uhQ?Y%))KkrE@O|8JVIT)b~PS->`~P>XBKu#xlY8WgcpVg zg<`6$l7Y%} z_R_U$v9Y?U_T?5`m(-Xzz_g za$8b3&;>g54XG0}JP>`HFd*ZKxa4&Mk4gxEJ@T4SOu{h3KwWo>rj*ZzNvngvH_5qn zOW2~2ceZz9W33jei)yQj8?n8vP9a}NQOXD~ui+KFP|#)VEu*!xIRIQ}1AyC-{C!Rx zPWPS?();FFZry6f!b|vI2xHVb58-Ixta!OW;=umn)6;SLU3bPA@nS>mlWB7A)a0u| z%5QzM7VF!pXW>0EtTJ=lg|Nr$CO)I^BjUX~@3=EQ^LM>7KI!dmkG?YNTuhMBvvza#6 z${`Eoh@R8bc9Bz6NAy z8i{o7cn6Q~b9i{An5hSN$Rp<%6#7p#DgV_Tj28w#%5ZiUL5GTYu`cs@(pW3jEg8H_1aFk^GtlAjYD2NWbJ8_?>6+AP)bK zP1p(9*~rmXWbm%axv$QY$}C=E07uriucVD}YCMz>qOgqmJMjuyZmat=t~vh8^+J8f zVJI`}h)kpNJUuaPH>rD0q#2MA&2D>oxDAt27%MP z%FuKwpRSDd`ioIFI0TM`PF74QM~h49l-~=(OCH&L-@WgPm9+(Bwi}xpYKYe_$Mwrk z$MV88kK(W)gDG3qSaq;5i0N`QI*#e-Q{%^oV-yFWKxLRfFoUq?Tq?jDAmmb*L9nWP zexHgWg&53H8Gs0wO2|Mc0A_>u2uXO3g~Gh^Xq|WcF|tW-NP-CAM?5ntal|k%C<;-^ zw~TBuqCk(dzN?;t{BVRTI3*;GDHv%K^5?z$tCHwh4Mlln6#Np%*UU$FUh0{cG#Z7L z)M|LDv$nDsdlG(3$Be22Feu}P#la<(EfL<9dd^M;~*D(pT@wu6pK6NZ+ z)KQo_b4vHeWAemYOdOkyNxhqzn~mvXb1@?~DdTY%V|8dKdNCgR#mE>76@JEB4Flm_ zTnE=Z)wiylYJ_ip%iH4gsaqe3@bQ4_^H<}S|L;$!cN=lx_7idZ*tqC`auGi2{bKxh z^v*O(<-}(xclfde%~TB>K6vWV^?35qybMq&2`QoB!GRc2J+PJv!|cKx=i}tbW3ep* zmQw&2b^GwW562^qJ{iL@csO#&q*dNqQdD#lIPVW7B-5%=ld3_}nO-Z(G5Obq8b&eE z&HOpFR60B zvQy1f{)}!C&XLmJv8(h-$2*@LM07~mhGHkU-2Mu5QU&#tn*2{we{%l$6RSM@PoS zE_DLl#u+C*mjT1b;b4zCXC2&?4uN| z7d*qDvUpRd>om)q*VG9)O)6ZJ6!q?rOF4{7^oTd42;W?c;Gt)JJ+7=gpaN3w&^&b~I*U3$ z4!K&Og=&@Zo0|5-a6(?G6NnsBJ+Y*Wc-$x7!DEbALSNCll4$_6P2EWS6Bd5pj{262 za~}F9yz=WfP*pVRWX<|uba%+emmm0g7E^pc-dpvW^){oAKJQz+S(DtR6~SZXMYSrH zlX;X{vb%I{c-P&7ZpJv3PLTX$?J4V8(-6hL#F)i!ld(!%UBxZB=7uBZ<2q2C>PHQ- zpI}hDI@Nt9IyU&)(O?Yr59%ts88i^@+IdhxwhA&|^+sLoiN6>SU_VE>?bav<0O_Td+fBs;zU+)$K(N`|hoGe@@I!-g*Y} zqdsTzXMW+Q;-QD{_2&}1MT3rA*%mvE80=$|?O04s%*NET3>MtvRE&*`sx2)bZ7 zwC)Pg{jLb-Lt{mZ+_C|4QJGSB;#|>2_gT3R6i5M_m6$>`0AoO$zlA~yT(N~1*vv^F zgNUmC3h4@^m&;+!{TQ6xeZmC;3VgC*kc)*H4204Zei(A}cH|>wLWqi4Sq8w!l<`Tz zW^8T}S5eov8w%dwjDHmm0C!v|BfdPBG8#X5GF{LkBfham<5gKzcGhYPN-2*_PeuRu zsNK-aWQ-o0iHQ@Uhm4|`(a2b5Dzg^o_q1<_X)4fm-|InHX3(IwG(K=s)tW|!F(Z+-JyUnW#BYxpm-W!|Sdp0oPS;Dd~ z+-q-D-aBM$&dyC+Q49@oX#8gU+Iv0_56RfXsNryN!Xd*rN@YZy0Sr(!(rne0KfES~ z@WC;aInYOg7cHPSLYj7ex7vLELBZef$ulV>RJ;OJY)rKBCL0CBi67juRhc?)g zhi8)~1}CF6e1V8HLvWo9Q`(aiOtv{#vhXFNMHcu@-(F4&#p-~CXTgCsAjV2m^iRoB ze@vmXTm!lw&;f)aUtobYGO9b z(^fYzJk&WB?zGbpDfpoQ8GkAlfZTTnN%3eyJ_i%MLft7mQ^4>sx`Xl)&IYFFigCH4 zHt#8Ng=fPnQ{z*NN{N@*tH394*~!jkqs=Yp62;x69SLU!H>gGoWzGxz#CLr94fHq) zxc|vtiutw2Xt0o7^(>ihI>QgtzhnrclRjc|Dqx<4Pw0d+Bq!jF9y%ku&klxxAk__i z{4ie4dzpg%1GN4e5J))!kL46IBi@-Wy0K63Y0uK@>Tq;-(6LCKU<8nlxX@O%>f*&+ z8D`esY`l@Nxt(jsg}l)p5%l!iIHb$>xwAzo)gJopgydi(_8Rx@piI=fU zm?h?n*`c1%80(vi;Q{fP^aC;uKE}@JE3QX|Y|nth_gD7=Jom`Z^}VjWL%I&R1IImW zYe;Sw*E`~TaKpIX(Rkx)KV3TSxJvYF_^6G|U;NcyjP=!xI5~Yf=9Kuv@N|p}DD%ES z$qF?hH8M7>EG;c~TKCe`i*fb(RT*V3Te#efJC_k3AH!8!;F6p;s_Ad8hA zjnBtkm@%2=N##l7D}oZRkmcD=^xO%9K!TAZBxne7_+yQ;mSdn-#ujTf5gP6>v=TZ~ zvhYwZCz(`CB7V=c96L5Nc}Kbic$2IC857DQoGmnUPs8!E->1+@L9XYj9K7eHdybAv z!$J|jh^#Z}l~5dx(TV98o0*Lv8IA)oY@m9)hu)Fmi4)ri;D zV{>si*5(&t_1Z$LT$zvMYxD8;cYbo5z5VEv`PRltTzu@qF(?BNqmNOyLUTrhsZVI_ zWg7oK;{LPEk|fFR#VobfT9uYvtw!z4Vi#Bd_ksW(kni|8NPYxgG#?rcY08n(9g z;^WW0j#rDzX|?Dj-J!uj+OAAm8sxfH%O(P(et4di03T{y)cWDX2Dj35jZoi7VJbaR z=K{}45t1=V7iygC2r-B43S(3d+Na2*Kt{TU-UM^SDh8eLTme=TJsG+E%OQP)Bf%k@ zN{AOQ>^pvwq##D>%OdpWG$xO;5hsgzy`b9U01xS@ z&@l91nwlEx+Fbo~frM~fx2 z=bVdU6rn@#N&$ryQV<9IA+O0T#VYwt{z@E`9{UZkP@2Fi>}O?tkYecV1t3{pry+}AW7`)lTbG9}-)e1*1h!Y;JqGIi;)#P|GuVh{dYHKEsK z4N;a78+1d{og;w2-so!KUQ1u}wGBo;VW4d&`dWwbIz#Jl{`USr79(@6pfe+5qw>I&lWis}2l zI|LpIU-2^k$ z-qkE&qiG)!P6+M{v<-M%ezg#b&*uSgFJhVV_VQ|MEG);`{6ee)t~U9-wX&95UkVQP z1f8zE2~+)h|L`Bi-3Jd!nXlle@9)O^laFc7CYViOSAxj&hoO4CmU&5cF0Z9U(`BHf zw-f5)Cm($gfAr^{L=D<@Z*Re$%UWnb>_GVBQau3rhY#-pnr!LI?C8&5%*P-9+0W8a z_|C(7F+4bs78R`;cSN#EX~n@#NVv>Q`X^ zcsQbu>U%}q_xB=*v{dswyP5z&>&LCz?_{2@>iGPZ|GCtq!kOQexwK(9ysmhgb^10~ z%!xwAMd)2LlSV@zW_wYm3V0u9eA>io8{4z&Foiwu*?y+$QIu@o=eynlz$Kt4>@(ZB z5jE2(V3T)@z;IQ z29qC}PidOVob8+WPJTf7vu%oywW(*gq*U!L9fjLe;!po zAjNEF|8pqbq$?}7gjx7`!3WNa5u~@FaCEeG@m*zkOB!YbU@H6W8sxHb2{ZwJ4x_s< zggXc&=77%pR=V{y3;M+s&>?+PkZfPfe75jgK*~?pRH+MOiDge5ko~Is_I`p(0(Eqh9ESb!#<-6P}6pJ92YRHlZ~yY0}S`(mt*_ILaYfMzkCvFPo778eIt%{ zcG4ob{PbnKeEcltIWGV%mtHQ$B7k#cX(d)xS7Vhl*4NenP_Es%8Jk<1Fw>pb-rY^j z-Ql6V{j&dWHC%Xg2lYr>+L@(;9PZ(q)(QS>>%;nf0y-C6b{HaCn|fQ@*pAO1zsNng zZ3~&?>-MJ;t3fJ&1e~_5^kwIkL2UrC1xXI!b`jhvR7T|9$hvE|=I6@tavbdMLBlX? zzVB>PG6z!u6uAQlbtgmOCdD`fxR&kxTzkz4L@trk-c250Fir-Nb_L3oFNI)(o;;+f z(q{w`MHon*#&HNma2z{*tdEWu>2Hkm&bABPqRqp5LMaIvX;J%q@^bZT?&-_6d zI6FkXuWQBjRvheXrK_S&UfuA`o-VE9o%u={1^}IoM7j}yTdbyK6Wk^3OV9FVE2-rY zd=db{3@C*ewEPly)_g&K1i+U--Px{3*YKueS+0^s z38gtC*3yB^RVkaP5CuVrum`YguCBz!;v!)oHaYLCtj7N8dK|8A#yMc=jBrF7xupPBtUCo+_W~)~&h(A%J=djFxH*G#dwT}} zsnT+un;Xbp)H(&T*3-zyDDS%!-U$qXjt@<1$x*;5^t5su)Dd9PlB^z}xwD00u(wIx z(Y~Q6cN=PU=_7)(&$YHHjEgUEp%MQ}noANa^yWS3Is1lDq~`|B8XR&~LDbT(bpW24 zll%_%4&y-3xep*eh50tMA*7wy<4#FsV*pomke(~r7QhO??F6Rcp*w~H3XeGVUPRY9n870BqTY{0Brphh8(GbcFp61OW ztbNAGcN*`Nd%jtY{EkeE=k|xG)mC#c$WpTtRVOT3bV=(brH&?3dEDR&O!p7-VU4+BMOKgXd`77NRd`m<)|(n8XYvGC<6=$_`l)!*2C!k^!NX1JpStIWOh2NTAK>uihxXrbW5NE5NzU@quR{3IG`IvvNYeCkM0ZJSitw;WcY1S}CH@yKZX<6Q~B zPFpOD#o}lSO1zao_3%9p^V;DoHH2&WbhIM;5pZR_&4vZD^a9eL91x)j-r8&5jc;I#RR}F#~X&nVjU>fTj*J9UU5u zk-@?E(ck^Om;rQN)o}nQdG`5#NyQ|^6ctyPy%Tk`W*(vib|;P49&X`j`4^YR?_;!#8}+9eKUV+#grBwKY2kK>v=uJ^BdP^0aqOWp4I%; zAob}Y{JK7jjg274oDN4D!!R6H6QpT<15cuJI()nxi%W}{o&=yjWiHwd?Upqc1&dru zXdHQ_kkU^@=f0OhSJ1~T`w2gZ>GKjty7CYR7mHh|7lndK*eQ(UgkUEulcUN|n)T{; z-VEt9=#_q`^-+eOeU$tpZy@9sB{VK_NC*bzy<&ak9n#2I?Zioe!M)B7`s2wV8hSl? z`p2N}ZR*P5&ZGFw_ix21%I!~n@+4loTm%@nm$QOQe<{y0NR(Fc*$gnfdFOg`^bVx! zfFlvEGN96N_u&T_|EiA1pZ+Y{$-ZassCZ5aCZ1V$RC5mdI^5_?+5>=)OJzBsvZ)oC z>98>=Fzup3mF?m!-t!&7L3Nn6&#Y%Jxa6AuscY|h!?r65we(fa9_G~}0h{r-mJSkZ zz^om%%OTdrpFqL)6}S!~pPT~Vw3I2p5#F9HLymd?9E(reDQOED{at7{|M;LZ^7=Q= zN`9a(hfx)(^jBx$wlzCJVkkPB`iWNxCD`CcDul0xAg$X*x=t8!V-k7c!9fir3mQ_u zDpVaOr7~Ry(V=a9u}22`kzZYWt0**k`}^?J{oMQfG-X8r`+f(iOHj~{l0NJ*biD7# z2t=Oz*Nq6a=;xbTJF&5|o5Sp74|UtGB^62)+rRhU|6>4i0Tx$veEj_1#qQxM<(DR{ zOZ#wpwuALb4oe;KQ>$?SVag}&^OtRAEa<>~tupO%f#DfJI&&1Hw0A6L6`ob0oFHhq1hACJRJmt9O<%h8xyFbb z9w)6V2WJ)h&a>e-SOH%kqtfk%zLB-)hoQk-9*=7kPiaDpOO7JHw%Ihp^jWd2ees zhvss^1&ncs&exrlCD^1jXxx(v(vlHDV;O8HnJ0u~I>ib?nw(Rh@~1#@(uxH7M&qK1 zXxEBCnzussjo&m{(To6`04tXoP;=04Q|n9mtx2pR$`ss z2fKS{__PO%&so8)cbH3ekVjV)aP6=DzCM6fCmmXF&Ic%q1g+1LYfL(f{C zd&i<*$#GEIi5Fk}JnJeuGlDOL40LLJ+n)OWc?cY-`FQbaHD1kcAi&#lF?Qe4lF`%E zp39N6$h1&SR5JASa^laOTQ^AmlDg;wyw~EFAAg?oEpxhm?{>`1O!3Y0c>Z!et@`?7 zC8MED`v-feBf-8iPCFqE8@GTphv53UI%2b-K=kzX#Ky)}=0~P3qbYPEjlisv{!9Jm z!8!X!A@__Y^OF3k_dI;X{-aRKANCXLi#W;_huI4alOzJvou>q6KBNfA=maiWmK4e| z-UOVaXP+}z-wNGgW#G5{ggUUFSl(<6;uJ7S-bl}9&fXUs5GBFJ@!>&?_A~?LcVZME zzl)G|BG-HG%|*vRPb@9egrWf0 zo}6u0-u01(RwZucy=)^MWZUyQc@Wo`jA`)o{7tBydDxfa)%;5uC{~s7Ui!RCi@a|N z#aGww3ijb6=Ymanr@)Rra#5_Zd60k$zPmJ%0^ap;1*Qp3e9UvxH81&25;oW5K`_VH z@;MX>Z!EKM+ndS;3NBOTuy-!?MZYA;%&*FgG-tgiaQ()aLK*s2eamfnySmegl>VH6 zL=7YYOxMcXfqy#5=K#Lz)~fbF={%RiK@M3TgZ+c_c_;Y{Kx2S3^6oM_@`|l3c%y+d zwrehTME|i%P^Y@J=&s`?1}>H6@aT{J_TS6=Ugh!0%YPf&hbz>ve^5m#qXqD$!ouC; zTRhWpYn`sI#Ld>)r*=1)C~C3GQiM!IASUs>wmpVEtGhPQhjYe`Q&&#wbw| zUVer=mV45RH1uZwb`(Zv-0Kpg*@6`kt2FM5J-lC}u)j@T{6f*V?r7THcf=W@P7`Xz%F1)X- zhCtxF!+m$d+S%ip;PtlW4BYp3zJCC=FpaWQm#aGL5kCChZ^y*MG`ab!$KM!i{!jno z{~Vuw`e_Pptq>MY6t0l5fpR#|Opr-|nd@2V*ndvvS6~TX1_4CF1O43BhX;amTPB!M z*^AYNs0hlcw5dvmPOY0;5}C{`1yqUBXxP#S-cR2*quVk`FpWmCf%(tjc&(dV5NO#+ zNXJ^3CV483&{diep#3u0f(U z--V%6_cBS|%Y9RMrnN371*y%Q5QoAkl)9{AfRX@J;G8~r5NjvQs*ieh4ZQfOT-+-rkBW0VE)36A-kqwHd4HS_4;OiJ%2_ zWqm!?VWOJ=S&4BU#{BpH(Laj25AIu#D>-UAoAKGt|A=zQIG`)arNGf2QX%53aO*ai z7>5Gli!YzW+U9=FcJ4(HQc!IHl)F3iY3z)FL4hKgE_EfHT)#FKQ`2LBr!xdY8)e>z zpZ)4Hp3~;E!Pw|QkWm9lnrh8c4`b5lAcRuPlzA z>GBPij*)p*zZDvO*JWc4P;#XCvT*!m)Hc@Q>C@-XrHgI5GKBs2JZ{~Y;dw`V^2y_* zOBEioF0(dG{hF>#j>V$~H&Ge(2$iR zoeD^tv||0M%)5KcUfp#diy|rCu|BL$+p-g72okW7vaG(B3OW@~EJ8Fv;sP3hd-9l! z$F*c&3nzffD+N13S|vguPMpHi=qu2ob($gXc#nj=0dTNS2rA^ortLG^QUR-A*Rl!s zL;yQcs8~5g9SJOQ$Wp&)XY$Jbp`*N)U&#-q!k$4i<9&s!bS{1I9r9pabn|eMP}^lU z{RRFEu}GWJVbTJ1t3}8%THmgX>jWQxj513FJ9)F8AU#*0koP$fv@K6V(C!|nBoZU* z*=3Pv7t+!l$38wXJdzU#bE5~^)*KB^e(wW5Y<-VTY z99hz3$#j&HkG}iEl&@ELeDd<&#P-2T>7V3NzGk0F3tfWzQz`5O9jX!jt-A&{FeUZg?_hKDy6k@-~1@E{hlKcMV_Q` zNS?i){g#-eB=*gQjQ3Yofd8x)s9s8grx#t&#i4 zKUOlNdCnH45X@Uts zB+gdQ#O+pSxv+6kv5Zz`*dShspWn$0tr64UEV1*jyu-g7=7+cvJW`=qi9RD8lQO+3 zq#&eYCE(*)D@~qdV06M9vgKXDpMO?rc9BNI_+5{ZR%W^6Id4|q@<$>1%wQu<4u`$I zXX9FS)8@>dmKnjLOL@3oy}~p7G1Qjp2-Mw!sBP}X0b2AK1bGgVb01!Z;`Lt0jNiBxv-j@A zwRi5vjdveL?_j@~ztY3@l17tB(8*n{X9$qik1()eZ4QNDv3Q>6PD@s?t`rmy0f9iF zGuzI&4?1998bX|+G@a#en8HL~M?2&O!sNW=BKPFhPqUwQ1a7YVsMaX3SId-|wP46B z1QkwB@O|5$42jsf%~7MB+5pD7KCEr*!VsW+=zVWzD^`|X(iODUxCLObSmwcn%(t05 z$*2_!1vv65G(^GDS||t?)W}40nGb?#NXykEirje!0hoYI&}e@mU1>`{D0dyIZSBSO z#!ejWyTb|f-O>RV4M3v9gZn5cC!|aNfVNDh0>p(;!Ng!{(znAx(tpLwyjE~~Ez>l9 zuVBA>n6&jvq81S(>(KLm{F6^|$*qUCr($AsAacFftcp@8_GjzDS(+W)oyluVQv$f4 z9ewV1ulkTK1k+k@ZI4`ipwYh_rgGF_i~i^43S!=v;^eVdEr(gb+dZ{)jW=rE(p>$os2p=C?6L#jNZAK1Rqt0bkNqAdDN zdQH%F(=j(svp+eZqMbgir8QST;XT3SuHX^n*`Y!EfxzA&LIv`U{*&9gvAnt-ODiim zI-}*rKIkyHIki7qK0)^I;81RvIx#ku{oWx`CwZ)|t;OP!`>Zd=;>vog0W^1LwK&uDGD`uZxYt>|-M%#Z`$gF*+2(D4jiBTDYu`t351f(q!XTWr_1vl8Eg}j5LzK zzr3ZCm46xRR@Jb#)g>K>E2I2uh~ zg=%O~LiL=$P2%Hm60txNftLc8--QVmVCqqb)ik}fLy;#NiN>;GWoG^^`&gTHMlIj0 zh>!F3kn?#HcLXh~y}NxUs~e#$4naTc+=*$74jN)mQ&cW+~Tt{y;?7SP@VDei!mkwNiiHKk<^n#*!gsR_gYGp>*z?d|Ly$0Qorwb?1^QpV&qiM5>B z>_jx%%;7jE45)$U4i11<59!0Y6j1g+jV<24D8m+e2ejWY?bH!#D~kXWXM^vUWrE}%JS09sLT z)WLk;VL$-qnJcF!V9_cEFQ}PEhf66NG@1)w6LKg{>qL^ilYy)cg$4}XJW&s2_{&LK zwj=$J=RG6i(FuLp2K&_KlNYbz=N~_dPk;41L4%5fZK{>X>twWaAp45j5$eww@E6PB zs6-9LIM=SDov!-O)x>XWNlB%ZGHH?BM{qbHMIR_f9UL*qQ54!maOrGSCs-cPmmPVq zZYWR+EPmvn2(*kgF;$uOQ;6q}B6L$=`Y2zNPrJNa;fsE=_^io8g$+FBe$t7_NUfP% zNvH700!vbe61>i%aiI`Q;3+R6Qno$uluzk#@|0808A3Q!Mde_b?+k)iNe z;(FiUt|GY|h-oMrjHjE2)>Z1lI;6dikLt0zw;L<#YxKp{bj3&?GytHx_ed`zLxVA+ z-}$&3k_^KaCSqCzn%_exJgL}2_rpWOImyS7iawM}YCDZ8YwPQ=u(Vtz`7E!+%I0m*cqzQ7Y#u|}S|#A6 z@-X?K{8K>Sxl`cT-4nUX5VFkm%UxEouUDf}4|L|zS-eirD59lYOR39p$s4tryOyix z{EduGrDw1xK6xG-%oSAz=@UbQavq8yT|@ptfMz)>SHI~f6!R^PYRIj%1EIm&`f8n^ zZPyR>V|Qme_Rz}Rbw;qKkA}l2`v<#d9kIRDzwh*q>ZC=2pL{Q{KSDU)LKr- zzhsl9V&3!Y^P+|LF7NR@L3R%1H;AxRb3F_sdqSaij(j7}rct6oW~J8{A>Z|~2yZ)# zk0iwEFrM#AxQz~yzsZ*bPM)uEpToG+{P|W@loEG=>SIv)5vL=6Xyy%l+2f9Gbq$L+AeW4SiA%p-Y(n?E}DR z&+-(;CCE9bI~36rwVICp7rEfKjNY|5Ju7%}HX<}C5U^RamX?{@f)+l;J%`$s7gpm8 zPAW5UGM1Ca1e$hytsf3&q$|SCUUYHq2;fi{pu*BTYhf(PQ?ar)kvE^ANTEoaU$mq( zOQ3tHU$g$g^}SeGdO^S2CL0K)W*8`WFLVl%B5v6?U6AMSD8iRe@@-*c*kv(feKO6D zZUQdvVt%AIt(x{L0h}N+UnU4(wWKS2wTMYm`T*7T4#^+s(l<^8q7E0<0itS^l%)l* zC&P3Z8{34AMSGMoWod2py%)>twfNaDp2yDi zKJ9l48lFhzH#Ry(dZqu#qipxC?tbb-_XGR4lg0Eu^{l(a)gIMQzY`d=3OTIh4pb^7 zTH8~QK^rQ>D)E&M)*%3N|4_dy${@8UwKx?Z2){@^)A$HS3O?&0<8s50_oOpYuqJ-;-prUO6kwU4lXyjOf_7ER73|PW+S^pn=`Z@c?$-8lNV`To z*Qs+A5LZ>vCw&0rYyu%Wgh1A6<8Zd?7iwkd@9v91g!9<&NGkRH^kLmWlzA$Vl?5{a z<^}+BUkj!Hvy2k-3NR7s@@FlW5 zi=#!3>~jpv{5G~%byMt>^uRGQ1?a9xwBP#BzU&X_44XsY;LWit;0+&sEG5U*xuiUdFrbp zaY7=O2*f5ACvSrYA#SoJbZjSwE)45p*Qo{YLV{1NB{WzL{}I0$LX&A#!{Q0@I3!+$ zmcmmjO%4rmXswbFY0bJYD99yDhy&8#9fcz4O0=dSwd7fiqhV3yx`0N=Ex%b9r$>I5 zSBe(b2$@SrmOM(2zH7WUfYWRLH-53omGAg&@=&x77ZraPckkR!joVp*HH7`+Cr{!R zzx*hE{_#ig*;ik{{FYKMr$hVJ79eypc3ck=rC?`g7vXk*a63t@M1q=|yB2rv-it@? zz8mkn`#xatMoa+0=H7o4vmd-0qxbJbzu&fH2>#hA0POH+`jlSn(G(k-d-3Bx{$>2+qo;9lftDAYX&KVzP})$S>o3*T(Gxv= zBeAl&4YO)ZUl}ckX>p?Ilc}J9*cQ?O|K%6@2YQp9yshO@hML=fb+qM#DwkK%dfJD8 zaRk6Pes^(k3D9_yR!euf$yvLkA;8k_OQ7r!GKr_9P^+STN39**xwMZ9l-s%0@U_A& zExd@YzW7yII!})4Ny~ZIQB0d4?K%YBn!vLRX*+C_gvq~({>rjV(4cflUJNoyqvDMQf0TdSc|o+?Nv2f%Y5fv!+@7})JH-C9+^Y5k=_M^fgg zxDm(;5CgQ2_XN4RcGwTB|Jj>2a&)A&yPbX1wF^J}dI>&r8V~Q^KzSOWNUm8*9>~9a zv>RSEH#d_&)ZJgS7W>UywE_XCPx)0JmQ6PWXM_rX1m*f)2|`oB0c_;%WDc~JmRxxxJAwjl7=7LUNb+q9aWzmTdPTbj~ z|LUKeDr zk@i~~Bk4^V@ZD@j0_Sspriy5$4DWIs%VrehLJx({6dH7qdv`hm1GJUG%NKnjk2a0d z6X;U^c+=*ectA^bx{r_#X(in($hX-_BT|E(k(tbA(vaWv1Kcb0Tdv>y=GwC~$04tj zXG?eHslpkSsg(K6d!^5LxAA9MjU!{r^D~q@>1(+SFVJPfumjNCCe)AK^4Erjji;h) zP@Y*<`LMi9gNH6)j$%4LVOZBTWbhDRaA064E$RdPocjl(zi%-5dIt#o(c9Apz4pT^ z`*_cZzZw#H!Uq*hYxl1|Z2fO_SjgJG401mmZck() zZ8U5*AMR=m7x+JIqN}@)C~~E>6C$8fT|f}WXcwA_-JAB9j(LKBx`gQ?nn>B<;EsaU zx#y%J{RX<5U5*q6O-^$dTj2``Oaa835=>b_DbYa&8#cjNLy%U)W``(1GT-Fh8BB)8 z1azuhClggWfe4aROd~@9ms+;8MA*RodA|(d7r-eYdSr)dgsP+F?@YB2t-)N_(fp=@ z#(bm?X@h|KAcCpU3AAl@#eksrwjIu0V~nR?Nk~|*P z>(kE=?cI*%_soiU@>`YG?+o^R+O(;wBPMQNi+jKI-MIV1@8od!%)L8+%e(OoVDcVd zatz{aqy5eR7qzvG*qmR8wdXHl`RTJ*di*37zW6d;efD|OVbE83D41Gk%Z<(5`1rGD z@#FvWam=sm0PSCx1t*iU9~hhfr<;QSsq)2=Hnh07w2FRrJG-@5+gQ&@NV=kEnRkI`T}_;L zBjB`cw2DfBwwW_p?H8vAVb`_gvyyy*JlFkOUVIgYwVk*)-H+YPRlx3EXb*{L&_XU>z{o6H^oY**5x)o0{*BkB!D4g8hVY@%3cNGAXThf>K=$ zuKI9E5rNDy3dc4|pMWUcdI$w%DuAt9I0oca_(S1O(yk&>%kkL>{DWtTG!@{iLrIf( z3FP@!frXXuD}DY=DEvnYqV22zHZ9-xTV*J-3gv#`S4H@i&zU~I`JP{J%VMv~U&i9M zPke4ZxSN(FA62m^r0sI)#2x)=`37l}Q7q&0rfEw2zLsAy|GsC?-X!>T!UMql6drgC zFFTMI9)@e(I&)T~&lCjhDm2oqTg^Je*bR^E8$=LG$DJsM(EJ(-`uy?=eSaaI&d(DT zxL%A`4S=~LPa#29t8fW5mCFQ|`d?}V9dUU$hseicdVC~Chg^jP`nOLZcU&0W&MdH0 znJb2c0x$(m>0*J*`Ar;1uB>0%8ghguwU%(gy))aCdgq{7GL#l6a@W6?Ua_oXxaIX%iNu9aHkRGCOuXq^8tKS_%w%Dtpx(o0}zqWQbXYb}P-P0C7n zn(y*E6*l<0_cI^d^I0J!(=aEQyZl`&snTL2f81ATm8TcpS^9wSGz4V7vQJPBpJh_k z*ExKbv$5sRr3e}hX!mC2fy*@MZg3ul(5F6`y3QD_7}Vrjq-}i(cDWVj(e}*Y<8&{x`RG zQVGjRZW~*9Ufx$K3XFd=mV(MkcF4V9X_P=bLm3iL1vaxaY%J~- zBH<^5m%k-MuVudcN!(>UEV3sN(a>)~bLOu-K{3Kt0h&~3Co;UL*7Donby62W!Yo8t z?w5E~Ud@A@r5{i-IjZkvw<&QSAp`O4=FG@F;wZ4o1TAN-N@)6F=yx#!!&93c9~+DD z(XkkX`MIN$dDR!L5cFx(1e$dS?W7)cI`~OXTb%WF#RZ`opfh{zdfWwMUZ0tZf$rWo zJ3NdX81S}Mx@8xVUyFm4wXy>d1bGIbUeo|z2M2M=SwF<9JZ!g)mW${>D^_$aEUm|r zrwg&;0_Al;ll$j(4MhLID1v1$rl8ZYiAg%vA&S&R){&jqwoqF>IzEl{tzDEPhcN32 zCiS5y0N|9m-_MQ-8PbN$xrXNS^mJ;L=EYgA(xYpWIl*Ab9YKiaW(XS_YrJGGCF26P z{B!7At9mbBb8xVae7GLy0B!6pLp5kb1*_2E4t2gb|0)I8%KWo<_3UfF-UdR!i4xG7 zK#h2=)0SIbLL<4(B!aC1aixCowM(0+vf^H{OID}&mysGTv-tu(70$2co zr0LMQ{+#s8s5N#WYIfKR2J7#w?Ha(Gbg3(8R~lD4&!uS;DxB5I&Cdznv<n4^5rdO1;7~pFLkdaM$Ap-@TNA!`}b^|MW>jK~xX@_h$WQ9r8Vgrrp!I3&pLi z9k5Lhw78>_voSlmuXfV`4@VhlC@7Y(2vc2S%2IL)4S82tN~o-%XZ_?XbeofQ*Oj2J zr!yVPVMyBN&o)SYSXvQ zH_if1XBsOTdV0H4DU)toj!zKlmmN8Co8M0Av5UUe->0veu2`K#ndiBpu~kbB_tIaE z`}QRj7NL*#?Bjh6e(MrP@?3o|oh+1-d`5<1sJ|xxW)uBW_m>Ogrv(&L7N6*%;F@27 zO3E7ej``5X*$ohW6GufM*0aijL*{2^@IzSW`Gvra4BJFJPB7+$&E_I!OW zFUqxY%c1v7Ux$Z_@*RI!KhmM^QX3>qI^IsgpbayUzst9+vmCAD{Yvhu1p87dukyA= znuXVudqyZ?+Yc3)oXwm(`78l%8QzySmp+t!_S}&cU(-K9Ykg}Q@AFQ%WqC^(-inof zrI7yT$IYvjNjJJ^3fIT3!5duaPF`&O1(?oX=@9!gXx4RK-QL(#?6H=??UV=Pk0?C) z#@7z&xyiul`g*Lc8P-zC%`2^nar6G&c=+CSA=K-@h1`R0FFR$zg}Ug4XuYB z;JJ{7*(&dQsBNZzhcTE=aqxvHv>>>lP}7uvDxg^iF^iVpk*G^j5N#5036114zTeZ5 z<~FLvW@%XEF{OKq0=|{hakAMEN_|-3d7N39oQGE6JCxDDAwro-_0|V_b zHr%f}S28t0+CEy{(u(dKm(kWa2-t>o@N9H+C}!ry5KIGrp@Xb5EgjZbGmKs)K6NaSAX4nM;job+KE+sU=EI00)P1wrA{40B82 z13;=K<;dCuO+GuR@1`Q=Y5=a~DL8R>*kKYE@&EeCv$zDLjE@Y)`m)=LK8x-373g7~ z{7?>Qih4C@Q-U_oH&Mj-$&f6i(=0a&|4SuQY4$YFI|OsE6o zX@TLMmKpP|a-=oZwRP(PPK1-7bARtBmX~ zGX1X4onSaRKF;@0P|q*3K3=|Bw7KGM{jCq<{r7H?KO_e6eP2K2W76;G8;T41uVAHE zRGnn#$UtXluq!-VV(d&o!uQk4LcQkiG)wadM{$Dz;BUiUGE zCZM_Un!K>^oIIpM>dX6{(=U!7-ByBAzLdj`q-*MryXF1dH#+}JD?gIKPm&a&Tqn=whK4W!c>4VNUHKzv z>89nv+z#~$CUa{_LM|CcKeYaOP#E0>sJjy|$7if(XOM3-T#Zx&l|jSs&1XX znU33Y*J5^R8lIuGyjU=uNHjj$nB+q!v&g&o4zj}1Xq=&(bd~HU%BeJrkSG3SnCVVfy zZF;04eN+EL&-99A-=*!&Xp<9g$Z6S-#WaWRukyZU|jvjqY5ajxADRgqEmO}USx<+ANaey8h zkC}<7n4Or3nX$>393G9)p57Sg?v085ff(kjpUNr%(KQ*3vgK}QFq)P#?NSlm_jz@lK0XO}%kZ^~-;fOR zt;);J!(R$j!KxHRUc9yrB#P1rJnTftE;E0USP|s@mN>mG`K!KB7;wp%|9h>)V`F#tU?p?94lln!G909n==bf#U|8qxJ7oqQlbN#8q}?9d}uI=E8i`(Q1y-khbO*;_0tGiI0Es zllbK?e-_W5e;w-^fSTh2@^l%UJsr^xZH!Kh#?+13xPJdu^z`>-xvuK4^G}TS#_j8q zR8?V6#aBzleG<=J%mYB`;ks@56WSh=#~*)hn}@0%B&o|aM-ziykXnU#8SfChCIea^;i>&W(XHsbiiL>AcL4ELd*oEoP;My##O z$0~GlP}>GP9>RPaih;RGJFZ&?R}^?PA=KKswDfjHo5Oe=E>TpJwbBO)LzkxQ0Wu58 z^flPvne>{&f0mCl6`q1UXG+QtbuTyu>^Gg$UoP9I7s_9A7BGwpfug^0C7cAV)~$Rx zdj@Hlhx8Nlw~fmeXJ%(&YI58g*-uv2wy1X(%O8k;@DF|%(~~1aE6Ylq0peEHHgiU> zZSHPSTB`-1D!R7GRUg^^sk>rvfhUny>#jP?w>xgl0Fl|@zaG&!Yg!gEF zf83awh&wm0#m%`{WZOjgU%sA2J~k3V{k;h=ovd`>2mtkCKT$qbp$w5LHw2yyV}*Uk zey&EOiw6k>)ZhM)EGS=#!Me{F#SToa|51 z57)N6Jm587$;?V~(l~rYUguf*hJIR_4Jrpk(Kntnsl0VmQ3W<>l=~`g=EuBv4;kLHOl1Bxn~pAikV7` zjlwrwKX`X%D-QN|VV);oCrA4PtxcRY*fm8bp$oj!g)ArmK-=CL-G+`<=-$vqA275> zZ&!P`*+^e^d-QiB=QDI>80bNMz?;75XpqZ)`*B)7jH4X@PVFdKVeoxa#t;H}kkHox z`i9s#smNv+`8gf;WWVOxG0{s!jRSJjC{NFh!u@>@5QO{3hj9$kqHEF!5=oo?hj>z# zhg>JBx%ex#6C6r!hdLz$Be+b59ot!lc4n7su|X@wWn-rQ2!vONl-E2Hj3X!za3-V8 z&f&T05H@6CdR)-XqXCkc+1S6AcllgFG_Vhg6^s{T7LDA#;+Hrp9#xGq;t${^jY z-rg7*ACKwVx8vUTz7y~M_7CIH_r4eJeem7*{&#;6@7{k9L&VwJT#uJue-$e)pT*JE zM(nSx#k0>pjX(e6AIG2k(U0R9_xpwi;+^llAMgC&gShj-qqz3Yy_kM*C&usIh`}2( z(FS-s8|;bwuGTpH))e;t+o5G}d~6`D&pLawB|6Yfv}9>Lv;DTV)?yn5UKSxQ_q9~c z&5h>_{iCC^xN)6w01%y(-3uazl>$lT z>+EG2sQ$Pzzi0FF@yQooz*x)fNDlO!9zhSATD!LawC>yPx|c9Bm`z$b39>!1ok$5Q}4fZ?UahSd28%^JSPM&iuR{Mk&8u~;EDc*MtSNoM4I;i}R z8g+kxAa%EjdiMFwu0HA%&OzL=;)CxO%ZL+;EOT9puEU_D?{=Z@zWX4$U~-m!cXvPL zU#-NaAAO$IrMq{o!SKu8^sZDPICse)!KU%;L$38VIyptYznMw?|N9UiC;d?_E!Jg= z-O~4crVsT#yzz)OmWO#LM7wGK!7lo7?*Pod7s25$I(3q9477v%i{IW?1gF&u9_nMu zUY-*g@qJL-iUfWN<%;)}G|TMW3KTl@D1VdZ%IiuxnMVX{TClv#_kF#=|Ein*$3GuQ zAO2-N62urmzV0&xz2EWuMkq1!p54hH@J&8%Ie6bPxHF8_&2#A73DWw#Ik!Mw>vof~ z)01)i+H5Xoq%XU?*i}=s8udW?E_s$f)JbpDpau*3nt9g3q??A|QXkA=`kF$z2}M!s z&pCYAY$^0}l8)-Z!dx%_s315KT^b`->PNf+wn9Z>`#gCj zdl_HeVBgBc-RouY>DIPBmF^5w%b{}TXrzmi`5@1x+Xej%L(9W`V6(pN80_uNYu!4A zp<$IH*KswB^!LT+KtG|J#|FK2t7^`K5m#p+PR7@@i!=sFYk+j!-+zGb2>8G0$Y%OB zheLPc!=t&gK`$K?1U09|!>U4Gk%WL6Tj1SMlH>3A+3#Qc=_{z*Iqe43_&05jp7S`_gl ziu9r4uM%p<00Ylw5)o-v*QS%ewb4kWQ`-?_yp#hDWj0^W{^Yr&DdSbksvXn-EcLX` zq;*zH2%vr!z`5$~K7awweNlqx4-j#Jo?Uu@$UN{#5)fkrGL>8 z3c<6lzlax)zliO{g*e^ZN`K6+Klwa9`RJoqSzC#2fYyh<`@{IrKl=MI_2_P#_I1W4 zopvowV(s!cHZG21hu{0O&50ZU;L_I96U}N{S9r+C9pbt^Hxj?|Tkqv=Re~lL$CehI zaP!p{pT)M8$eg{0a6)Mspi^DDF`a%}`uNSv%+MyqJwpY-wiX=NhH9Q#8U>C|Ud*Sn zwHBC71O%;>lY<=UP>`u0xb>tyE>2t#aOpFnpQjAX_5a8oLP((D5V^DAp=HXU!r;V~ zk&yuahFcxT)LO#*Xipm3r0RRCBloX9{UWV058rthJ$?Pr#J6p?ovrn#?Q8%z%aFYQ znuMUQ!ce`=;dQT}xi)uALR;0+>Dr+Vu_vQ93i;7tL}o8Au4b(#;PlM%1g8X*u-nKYiC{m)9rnLe~mg(5zwluWm(|alU8PBoJ>~sY1#tQVj*sh4?lP}9zA-P zLr1plv!}1(CqMaByn4BkOUjIn4CM@T+rkN1HT|0RsBfSRomW2--9zv!|EK__ zM|F16)(JwRtT9^R=@;HZee`$sqOA8plK^u=?a62<>ZcE|ydD}b6bkhl3(22_tmpOBB{+e9j5sbUjKqI}b9`VQ~q zN*_ciAPmwY^sGSM-`}I(*T~srS~}gdK{1lX27rK8Is2eHspY!28(Z;eelh#;`Pnf*6#C}d zXD9^c^jGDLYuP&CPb+_sL#0fWK|+_2^a14z5oh|&Gm^-ltz;vBj zCpNj@d@0-29)6LQEmtYi3LQve^2?(mp5{_URK5%(L%v$t!`l)XM|EzZ?Y$N#7Jyf1 z$6;gZOhb`;P+pQd*pZNJ?%VoySBLqMd|dBXUSsm+P+BXHvt-3LtC7kCnM4#ECQU;j zN!R?9Hz`Gfm5o>UtwBY0|@YsG`ifxFB=Fzk(6CEy;4% zzF)v7={9MsDvF0z%A`ROk#>yh2!cNNu9PAW)itE6155<(^Q<4I>uq*vjR#a}G`Ti2 zl~(tm{{D0u(S<~%sss9LCw^Mmtv|j|Mr!#G`IC3p?<}M8MGLCNuH0S7pqrJ7yQ4z} z@Qua~-}$D)vV5z<%+!w#5Ugu4zxX1ay?hc+Up65Pkof~mLXW!o2iuu*WSlM1LOwtl369%a0$3VrqvA=(UxJ3F0TP>U} z`fh_8N+$roDJ<#OsWp>SVUmR)Bp}bPk0b!&Is4J!7X+q&lZKTrbC`$sjc6PjrCMq! zH6QX(COOb(T3)#pkQ6YQw3bY!STT#0O9oTrCxK-nKc-&^n{umsQ!@5XV(@YC``}$7 zIsDRx#^GYCPHJg|SgpTi2(WKzJjU-K^ZQvcY<9N7fS@JUT$33%iBmW5k;%IGLRw=@hwmrT;v$z5 zgE4x)vhe6ejKWUoh3)(Uomty~@YZQp`89{3vWH zW54~|KZpkp@24{0EXwwFz!>Gfc|&)H{#0%S`OZjo+d#pl0!^ObA;*z{U-eOTQ|n3> z4Xx_(3HgXtT`jJ{Kly+H)TOU_+7Tis+nv;lLdu*c^;zN6NpcCBB2$-l_{cIg;$UIqWzC5l+kH!MGK6qY$7y>^gW z>hA1pMbr5)I8^~&&tY`kVpKkJn@}x`J3Hx;e{mYCXTFQE0BLh z=GjO-@Spcf%_o)d%>F9b(L{MvGR?zhSq$!_d=>b%ey4Rbt#I# zmhYMm{+0YW5_Jv+DE!}i=F(82N@7?FvYI_DL%v!tLiqsL!aM`&O5gUT#)jtf$Lvqb zq*lfL7(>=OIy^pH!o=ucOpUwi)KCngRJ-nRx?;&k1d7nJK(JnS8|p^z`Y(mUM)3Ke z>rcOR&xv);X4gofFTXM~0Vl!qbsf`qKt))XUwc^oZ*}aS)?@$tFpirMc$g-kez-E20L;RXK5URnuiN+YwawATb`G* z&6`b}=~cm71;qL3dAg^bYjL@Wgn|_`m(ZyYa#A{3yQn zcYZhC{lWL*_B#&|#*gB?ci)d&*8qNK_&fT60xn-XeH^O`FJo(YA(oy!jfLk=dA1R) z9W60(Z6XG*O-9G~U^ET$m*z@aJX)mgnm!(%Zsbv^Ffd=L-rK8knly%&$}m+;R0 zcjMu`M{)1Y!?<(nZm!{Vm4^b<+2-w?{eZ>(n4X);ws74_8IIQuhp!?ywl}x9Z>Ir# zow$#GM@&tRM^Aq*bZ{AS*KW{xJHqY2=9kw|jt+9s@B$86(vm52O8Vg2uC?jzA{Ap3 zXjT(`BsAOG_x!!Eu$Y>nmO1G-X#ybUuu^dcX{D|KTw3zG`vGdLG0^MUl``g5=%#=? zwN;12U6<`Y{rOMB{nTfsDKqsTGu8>**|+-uEthnv)ppZ2&4~~$vm>XjL7@`ix~M-uk#g^U7nOI13pajv z@15EB-M{q#*}8;D0N4n!DwX>neCJzri~hOg+H?2S3XF#=9_ijRR@97f@HF-YHX2;9*QS13@y z(bAnOP4Epzi&XBDZi(mS7HcRjOUui-afwEW+yTaRBNHm6X?UQor2nNBOla4MfDUuI zdPokDZ#qoAlSAaLjjRRJ(LFamczsTgiLeJK=x6?$II`uk5euCZOLUQO9q@(HHu)&y zq~en8op0v5*`C#r&0Kh;M~T^>;G_ZQ13FT^<*EUsS*&FR+*M>)wYk^D{f$)51#c*8 z=9Onv+CEF5nueo7GhVwyog)VY9GaAIFX6}V1LwbRPZtdRJ*9<;wgp<|&Eb8I$}*`h zqzlxiYl&ZO0&%JM28Hi#&wVIM}xU8tkN?I=A4?QTPz3>LNtrT=Ran)Ud zT*6R3opmH{gjTBMjI=gNGX`D6?006zyrxScX&dzaR*}^zstj?GQJLjlX1e!uRiQI_ zIlDtqFMUQg$Ue^f8M={4ZqMAEGVz;^ie&zqkB+{s=p5{cPC!oAV1M+vyu;{7xC70d zo44Y@?Yp@Z*Yf6C{Ob9av3jx>Z4>=5bZat3@61I1wee^Lz+56Yn|nLs60o`jfZaIS z59B=u!j2$_ON${DBq=3frb)XvU28E(p`VpVb;|VkOP?661liy=X!-NtXSweke{jes zot%*iyPF0Ck#FR42}htvpm(K(k#o_a$}@);b2y!|9Z8KV{o)jq)w|r6m@CbvA~ug= zg)N%BLopRV@tsW1_xbbxjO#nx&s|*ftC*XP8}HtacYpN#c<+Zlh==cg0Kf!vzW1GY z^x#oUj*laxPGWiSMZA3eI5q*7we^+QU0DEVzKq)LTC{dv#PqGHn7w}^`esJsqOUy; zTF+1@s1Jy`y&Iw$9F56|xwv)XUOc$-2$1s|PUez*{}KV;Lmi&PtCy4?@TFxV*Wlw>A3$?rYCMOp zheyY9B9Ftcwx<(I4iDXvyi6=}?J<|nv2ATll@;AZT)xNerDcM2b75R))_C5}9k=QS z>9^@OiuJQ-_s)K#|3lv{vm(<2w089-1vG~85DUx5&Fry&D0En!M)&RTEb zEYNf2?%uAJ(lg?fev!jdrbB)ys1==O{Ry*AYT+b38Ez3+4(%ZD(Z(IBD#8~qymuU1 zI|s471E@Ww2DE5eUMkpyw_Pt)fUl?xKu+G=kHe!9<>!Tc6Z34hu^`UZ`Ry@9aCjC&430ACsTbi;uK{DNj2rAmv^#MS0 zi#FRpDcs)Qio;VtzjQ;I(mk&yZzz4hd-A(RyGmS1r6q1PvSP@4(5Cd6*Nyu{;Wku! ztKwbdozlcxnY1iTOWV2NHMCaEBG-cHq$2^Qv)s2FBHvNbqhIb< z0JB&!r9}a0TA>=e$U2j!PEAc^`(61#by}mkJs@F|o@^6=P)ECySPHFH^p$jB4BOBl z^(2vU-;}KXvVsf0NX*A7^v*aJs9OKF167x?mHX0+{_x68lku5t=uo>y%3wjTImxrs z=27DNZNYx_H}glZZFE&hnv~`}OE+ArqZ;FZBXS2>E8`4<%CqysQSnoY+>GL zBcGW+`nB#(f=PkuAoQz$=1^Kl_1!G~mU$)=pUcYkvH-{YEs)I60GRd#0A~VFz^H&! z!=AI`4TZn_`s15p{G~%-WCtrlWKLe_jLCuFxHml)GXovvqiwt|rrx<8 zllNw0Xl^{$=Io%rT?4(G0j&K9{jT=dzc`K6!@W45vWmS%VgpRV5F9oyd_>V}Gs%?s zHbSTq=AaeRAvKxa84OthOlwcZmJy}ARLLY+(ttYrBf)$ov&*&F2o*7<2JV?y9?7gp z(X&E3tvw{@w-gHc@M-0-!qbn0hBjyw6G&KR9!cyCCZECuqBReu59o|=0mg1`~K8=@;zl_86 zwP*umoS~f`ZLUW*pO~7RjL92wF*q|FXAn}2I;m4X=YW?smjD_ZiK)qJar@@Oc>m#d ztyQ!?E$Yr7FCALCb~t@}aw3`j2w!AJ9twap=33{w70mCobt}31GU5Lb$r{Ja)G>a_hZh%BfmI9MESo^#*Yw zJD_vwpcCd(?YHiPASbF>7b;g;fb4^%4SbFNWa^|Td0Vgg%xNX^T0c(thhWpihnt() z5y*S7ytEmM3v02wwi&DI+u^pN0t5XxySn?*@{u#ikqQpOA5w3(?%j(1;XwfFIuxv+ zXr(XQiVxnum%F#PZRkFN{}_Ru+lB&^-7?g4kB+Y1a-<+}-8@~1Hn%p*(q@z=w>+gj z?eSVQ+gcpS>43JRXXuN%+~J)C==PNgql!ebjv~H_g|G072J1*#G*oSqafv{aaugou zz1Lu}VL|k|#Ld()WSabZ&AYru{3@$Y@9y1r^v*l+;NHF0^580uY?*8r+RBP{SeS}R z#S-3Q(-xWZ*5U7rYgF5VdxUb2`h~9;yys3)f;z3#m+8x?t4O6Yt^s^s9lG;M#9^o=LKPP$a_@m|KPXgzP_+ZC8hS)K1fN@QD0wqV&w zOoCz4k{;7a7m~E*~TKtukp)x0>9;Tt9Os_wv!K6Hz$d zb41M1H*tj<4>-Xs_b?}@bi1eiIr7YT0P=k6QC^!PP-zg;B3%Hg-!0!R!8-CYvLAuJ zyI~oQ0m3H)&+gx@i^I|D;3_z7qpRy7h4_Y}WpHTt|J=CF|qr(&FCuXql{IwGL z==i;)+eTa&TG3XE#iTS$(nC3{Br7ZL`vHl{OTB_WMNWn_PLZrs$w*ovFIcJH}k>(Ys6d^%q;Ykp^^;C5G6FB#g{ti7){&H)U&fQ18y`CLmfXoO**+$m7M}bpcke*KtA8S{|?}E zG|O@o$Hj>|8a+b*w8zrgUbs4@v%sZ;E)<()+MrhuM_t?g4#nER96pmq1x;S7g)h!8 zWP1n>9m3Sw@elqtzei_piQS!@`039-iJhH#Din5Vt!>w@&BfhYH`6aqjr7UWX9yn` z;OBdMyMVK@#EIZ%W@<7mFLvS%gqc2^(o;pVCki2i)B$a2J!^Rt080pNF?z^1U(PS) zBm>iP_njYo|N98lkyu+^jV``5Fw~Fo)0P%Z&k9)m*jg@6VrP9hc6PU8bz?mRyOV>A zlO4+bWk2Ijn(0FRv&}}o?F48xS59)D2ex!w@Y2GO`PrY_H@votzQeXD5 z?7x1Avvn@0*xuTWmG#Z^!91uRq@~CD^11KZ=LDD}n~Zyxy1k&DUH0kxct7sl8V98A z#l*xQOz=Fudi=7~^>H13)I~jCrXOB+!w;$*;rGFJeoNB1vg42b@Slg9Fzo3^O8;^1 zeD~_!=J&onq?A)2qtm~NjCE}r56vql_%c26~_q;MM=2wep<7eha%M&N_ z)$D%JgVEnQ7M;z#S(k3d*H4hIXFj1<)6kVf*QIG^m`{xIt;^VjK3smt=YGI)3Oq*! z`{Ks6nV6j|OQYF`oS^B1y_|r?du~0d@1?-fAcFE(VtWWwwbuNlLGK)AWJ?VRlBJRY=RLZ44fT62# zIPuEm)bd)To!`=J|LoE!JOe)OI1$H>@(rT#0&|L{NjU-JB| z!RC*D`lkqltr+hgieZQMAdVeC$Yvepi8gsgBe*}T!pYi{;BqL~nl3FM&1Qp1K0Z_M zxRz!wK(7zN?&4jIDun?F)MQA!K^l$b^D@CC3KB%r&?Y$BAc91{A>dSi8rknBBju96KDo%z4KG#^_4 zz*E{o&m(<6)Vf?)>ZBPW`g)$nhDTGO zaMtG9`U>FkWh^Z%#Mb6|0;105wixZ{j|t!H8zKznd9=GfhC6#>K*a&3fBVjz^mDwb z;|#&Jv-BnP)Eawr+6l&}@N!{aeNr6eog5v=&R&Mt&teJT6W=ouXBj`!YwCmTXbfX%s?>1d%X+O?$EX3)R1W_*>K4(=UoZ$n>#l6q>g`acejjF47S?f|i| zvXaX*$?8T1hhlnqGIq9I#CMN)LkaNqYX=D=+q5PQ3`T8tgRsdPm+{kId=&GGi#fTe zr@JR72iadzstF4;VNC_7bpp2~)CjNz?7qm3$BP*D9TU<9b$O%CzgtV7n`iO6(|CDHx_YP}-c^F22UwhoY*&o0B z^d;@tm6m|#FIH0t$lW-IEdy5g4^T%gI=}F8G5+yC`6p)J%8q~bPycVR3ot(bfEBFh3MHltoh0xPqk)s+R(aPXNIRV=1%C-gg zEwGXe7T{*wqJUTYv9xe$EBjlTY&1 z)z%Y(Z4=Sm)E%ArJxljlAT!T*;Ni!IT9gmde^Xzz8bEP*Z9QqQtEV@21sWb2q(2Ry za1X<8r_*ok2nBv;Z!aet`Hu8@sO6IWTmj4iD*y6Xa8qQImQz=DahTj4$6Prf0VXtS z1v_!g$$UFI+wso#ew2OfDvys}{QKBBfcG`pQnDyC(wcQ{UCRe6da+vbd2%+Rn_p=~ z>!0tTOgsEdyc1=jw2@8gGwG&;!h>mV=v&$}J$Z&Sm%fGoE8F<=#Bm$?0id#{qdz*^ z9NlpwwDcKyxH8zu%qP+s`N-X-&QVm6fK5%d1-}J%W=bleA2qk0@kQ=a$mGA!W3jXr z3uQIL?r>}Vk;k@H(}14?MvhO(JkNdRH%lze7JxK7b0UBCC)d4fkI9}JalYLO*rZF;ITI@22u;2Ll&0gk z(5Y@&%0|CYmS0qcnhye4D@O`F=k;a0|GnSJNwt67QGv}u8QFSHQ{?R~3q;mFR zd21uq>wB?tb{t1ktHa>g`5Q|iSjQ5Sijdn}l}}2D5Eq?4I}t?YG8NlUhP83bh6H1#vf=Y6MC5M? zJ1vv;0ExtN;axb7fuxB{JU%+?vPgdwxTv^5&29yicg^y#6lVdJSNy1D|>L zya?x_<#`lelM6se2ii2K7g@Oex5tDS*Me2og%ma>vet~ z+i3ywo!u_JKN@pW*AdPSP@$&hz*xTBSRvK{< zKzVm;ChiPR##n1l1lrjC(t2#ZScv5(FJke@^O%49G+uu7B%Xcsbq-%%*@(O1Z56Cc-YSU{oOG-qz_6<)N9b(&K5v@DShW^JGD4*);WyJH8Wkroww3wYkG1z zX+jIPJNM+UJ3`DfZ4ZY)^z)J_*l7iL`h1<)Y585i0PRkE{ao~uspX~yYR3{s(fU=K zJiPA^Y7_UGVKV11kJ`>&tgWo_RE9%YdV6DLd?ap8jm4uIGjV-nAYMKBGTc4r)}34F zKY9WP6uj6kv~KI$;~JFCKGf~Sb<_5Cx8fJS_*wj$Km1?gzx?MvjaM(8k>}$m6NX^F z^euDc#Gxkc$wuh_IeKB)^$WKCR6gki87juet8uOpl>zX$w-ZPEyKxE4cR-K6pM8^v z0wQ*rrC#nPg6d9{bawoE>t6)A6mb_Aq;R{F#h z|0@OFS^5TQEpv#yqoo6W*Gc}$US z=REt(yySsJ($%B*uX31ve#7*Ql($kwcu&EP93(%cWB1fgPa#^T{tlvv(0Y0h%}2X& zy1xPKZNzD9Gfoe-(-N*{v?CvzD4b3*a}^7hM;k{$8|?3eN9dm>jW(x(xk%qzSX@cJ zO?@$4TetGTEVIWOXMktrv#qjZ8~6A3=Y|mukw19wAnxA1lau)d`}-(2{F!%LL1ATi zITjWcP-GW#Yrv|0uJ+)YeAj#>9YG7W997N}6$!111yCy7%3rovqup&~DZ(RP%6D@( zm*>iGx97}}4{4Zh=^EkgfEt?IGBQCYzoom}HBhk1d%Tiq<+llrQb~Wjp1=LRACx}* zGiu(l9GCiN3l0Urrd{N)ak8F~m1Ubs`&EhKQTm8+tpoE=uFbXd=enb37v@90ZJ#oj zCV^+AZc2U)dEfuIcGpCAT~pEbsI1`fgn+Od=$75oA8o4$Rojn79 z!4{NPczGSVw`gD{N3YP%;oDF+`9!6Q3o7A)-}1{#+ChK#Cg|PZiV5!VuhFAbgIfoo zvn$#N?VUX+wghCLE6^A^d-@3d(cR}nTsJLAv-Ph%zO`l3Z3vfMyoil$m_Hhx05kXH zCkVU>p-~v(CNHy+t=Oz&;{c$zZqni;D&Ief+SYEYFD}RK##Rha*ikC9Q!5Qrm)bPM zl$4~_OXJHxv!S?_9iBiSXE0_d(62bGZ8lNypBNh1k}LKTapOqW2O^!YqKg|Xz?hYk;EMUglq*7B~MN`f!nHBW^Sea^qk zr)8)Zi}CVZe!mt11ebv6?&yvtgs#>k*L`!Hxb7~8I+}9lk?mS7wvSvj;FPwZQzMYO zAef%+ffyYejhV^WxG{4x!R5HiAo1J^O^GWD%zTmVV{BpciN zHgX)+YtS9-M;%|E8I8%YJ{b9C4taF|Zgv17E+b`QRqhjAoeup5fUHLOPGcIu;1HT? zo^5UI#1~&Z54Xa!?Fvnt#jV>n0GQorfsCkAN6)19Onnr(*p=muf?B%ScBQGoEk-~dWhH$ZVW&S<|T=+GS^Tu8oe zpg)F&N8-sBkJB2Xzomju5bT<6DjWjMvxD8VtUP}?pBn`@Q+;iD2~fM8lO^;a(}f~w zIO&-)|0#T=Vi$o|uXMQo5>VV^``Zx2DOLk66+F@}&rS~!&ZI4^t8BIc$OYGyX*cWH zHA`JAAEgKeED%s|3t`>Yy)bcjPJ#=CLJ>CGo9@DN88dS;3E&=owVb0A-QDf+qu+Wr z76GFhn>+NSbLs*{%sV%4&=0Q7#NYnCznl5Is^bs-$%;Y%W}E(-l=X+(4ZEZUHb4I%A*z`zL4~H1n<+2SpeuZttyMUJ_s;( zc2HVs2Y`YicT_r4!PI)GOyjI2$~@~=r@yEmb9QDXuiY@hHuYO7gHE_}v{0bAv$GTX z2lNBzUdxh}qaXd1Za8( zxi#v*zz}rg2;^XljgE6~Jo@1eo$y|HqIunix4UXblU7}Ls-X?uB9_t5SRm`h8S+#o zdsb&AdZT&A#EHTdYcH%G+Z+`nj`|w&bm^#>66&nZ0FV*pyTxc-*)XQzMn-b zgexGB1ggWvmKcigf|vw}0$S3q0G@ ztR1ENq5~P<4nceg(!+0fuR8o~x@9dgO2M~^Wvo~i;GO{TvXHPdoHqd+uK){62=dw) zfS0=NKpPq8ACAe9nYcA~H!Ya&J^D^OdiY*UPS4OW+`jQ~eEiAJ##cl!4V(3$cb`aC&&0LqX$o27NlmAT(DY7(_t!@m+`d zT#L~hU*%yP4h;2CXMu2rDZ;ePgG1d`wM?T1s2dv}1dLFdfc2rlJ_G~+8isE@t692O zt?LesDELQ5sK?#}U&V@ZkwRaAunRbI86kn169WWvDV)iGLlM3GXnxdF3UPuHx3pGj z$W)=~1vE%o()A^2wNv+9#OtF&_mD;>La`SH(uX$bO!o_g_QU;*B5jNBqv3|(Q+7XgtFyg_kbMBq+|I3LiXvCuj0@C|ER+cs)hDiO~rZrLh=A@bn-I z3P+Jg6`o-|>p!ND)FR}AipLpbfeA3BH{){@VP1M_wx1U~lXF6f{08vxj@S}ei>{H4 zAze`@Bb2-OzhyniC6LN@S}2b@&vmyqM_*@4jP`a=|Lrm4YGU*Ut^6q+;8|LO1hfe* zs4)F$9V*v&;V`0rN`b486|8E#tS0(cM=Fbg%ZCphh zf0bc*Rjj!L@eks*Hj0=$S%t7rl{`G)e5 zdyV{%gE-|IY1Pkc*&n>nztX3Tkd}Yte#tYnQ}&fC zOsgieqOzL@C$Fk@E7zn(8s%v4#w?Gl_$=KfG*)=%qh3}ua5()aWt0BR=1ZmA&0Msy zOM8_CS=Wy3-7Nyjionx6kWO<05H=%^1?Loo4sK zt(e#AGxvF%&4204(XCqSEUm@*%ca;|+lWgF<*X|O?!fRs3=R!Me_t<*6s;b?-a+L^ zxVFeeoRF@w%}GyC#@TkyZ_y~)SpT9N&UK^a)Lnim*IBg&7^I9Xq?ZXiUaUi>8&3Un}|W z$YmWQ^y~!Yr}(QFs(fZV-cR7`A93wW{k;Rx*EdXOY6hSmM-4{jvJINUySjVPgoa~$ zY%;D*UyD08?!@)En=w8<5nX_lIz;($;YB?D`ipq}@(J4XMw~%Nt#qDV>U+GqFJ|<; z)O7BQGq=Us*o&j`_t^lp(DGbSSL_<{vux@Lku?Yy#Yz0|p0(w@k-A&fyBJd4ips_{1R% zt*>tY%v=VkmyUH3E30eq#TQRwr!m`H8gka_dygK*?A%;xor1w9PoJ0VDXACR(scD5 z?E(1Ax;8C9{l&}qY~z0Dt&Kj>O*`pJ+kSQw=X+ZS$g&7}uGP1Bc~8|S0(+^bSIIvw8E)KxjBS9K___YS%EH7l<}L6RuDm>3XcA%8=Jc^2{?0o zxcj%pES4rTSp1XNI@rc)-D*Q>JSBSbO~LhV5CnrtFS5z6^!zc0_^-R zfdOfmp5USU=21q--i)9xphB7Kof1#Lq0+4|Hh#XqQGtR_M-sGP zy3v4&?H)>xmV3*nuvf@CvE%4O@Y6&;?94S5f9vo3{rtvN9>042A7bkOCDXQ~@^ko` zkTMFnlSU-!#TKx>v;Jux`(p>}ukg0TX0 zwU(wYB6Z_vhimg*UTDoT53SMJ))n0y{m@*QV_{xYRy_n@&ZUs=+Mmvl4JYR{a&W}A z#1rBQ<$0k$-Ah_q3dT4(fmbD%vs}^+fif1r>Ag~R>qF4UCz37_l;lw&CZNnRmwuHH zfcv_$=tj^(znSQ|9!Hy(QQzNBS!1~q+;Xi9Q8`h@){&_@@HmYdjwrhOlt6ENeJ%N? z;7=Lmy3t}2N1L?Ho36@rhI)1F*=4wN1M%8(jkt}#GndUft{$I^Dr8l|zBlEQ)2XXcqdkod7;+8{4t9 zuo{~$mSgqnSF!N)MD`RxbzJY-h*xOXb28GohONLm88iLQIkc#84 zGoE$!cG;nJDAlEG^xxFKqnO|eVCzIUDzs7{LJi)Na1y}L;7KULR5cr~Qp+h!HHYeD z`25y#lLW#yt2BznR?e0?^G0XPE|hV6>ZRY&>0N@8+B~dwpUXrmreB`D{SEGNU!o-@ znzp+s`HsT2rj|k7yEdsl76XIMrksttH}A*$4?m0#9)7^}z37LD9sq)$y?PcOfBsSY z>eG+n#fzuuE7-=n!vO1Pz}9T#qR6u+`hrUSDG!)E&12tbQF%EI|17H*|u5Msl<81)c zoT*wJYU28U4Gr|A50_Sx`2_$S!bh!B3ucc_?$mS3;eNCrsGI4`UC^?-|NB?7Dp}5ZntL(LMl4g@@YhKJDm) zCWrY{l(g*H7qoKfrt#TlpTr;htA82)%OCu!`1q5LU~)UeD~gu8A_*XqPLpOm)93(+ z0!~p{s2gWc%h+?62O#L0owkSTb*`?g5S9SU+t5-yzv*yVXD4;s-AcaQg0wd##zzvA zb<-B^Tycz|pg+D zHu84W$JXw4Yyv!L(3l|HHrIDmg(EFL9AD6fFQC%|?xjBM2hz7b*L!=ebxS{J@63LyYfCSnQTK*i1pwte=L={N za+^*2CA`*+76f5^ef=?qVyWfw;ll^;liM*hIhnk`KBk+~wmz6E%dv>kw#<10rF}1l z$>H6!m6O8`;4^M!AXsVV+e6T&TMoM5zr5==bCh;dp63PiXZ|j2pQ=r>&3)F0LYq66 zqRpzZUEew~7V(v-wnH((ls2@D{SCHCkVki>Zltf448E(Zm&KeRpXegCW~Ng>IJrzB zCS6X29;MYrD0iR(`Gkrb{Y-l1&7^7b#{cHSAA(H#Q7QpkYk@86ioWSbmfhl~BBoL# z?Na{I56iPgsWZ*2kGz-J^<7UG%5! zRzNS%r5B#t*U?O9iT=)(80c(`fi8ml*U-~J=!~IWLsy33-tHLb(?Ivl%8-=vtqylw z*<4+Z`Nz*=`RU8pUR;aQ+F`U(*)0;n!BHHnZpGF!1n8G9WA)SLvG)1PsLgLi7e$<# zn2WnN?#AsK_u~4@tr#DgioxEI=>!_EpBhb4i&2wVG|?TQ*!}krgJ=EDgmd^ zPUTo~1XDr?G9z1*7il;(?<7WUz0E8=-aaQYeX1Sa|s=fy#;?03f!!EVEpIxL4D^NI#=<=)mEW!ZfOKY0+?57Qhz5 zQ-&B^MpHZ2A7=nysvn*{ zolc6&VLbAf+B*4f(Yk?9(naI~Fz+1h@zIHNU2r(q;b^VN(yPGu5aH>JTfx^NK=cqW zw&j|tJiGhgK{&%*04yNZdL=V+NKY-=#p%`V$4198Z)vTU;Zhzgv07!;)|TU=U;HHg z*Z<{T$AA3y|0bS2{VIo}Pu(BdN+M0InDiKco`TbRkZLP*(GKtjY$nhY+;O(QIlF!t zAv{0-0>F#%1JiRx`S?U1LVPqv#}xjpl-HeJS^%CM0M6lOAE4r}_$=VWksWC& zEuFN3eMoxA%^jpSgvA~Je`$R^mew`_st6#;1G~+7Hpr{WwLFWDBs<|h?q^7)y70N= zD}Sk5%5zfD*3t+MRX`^nRY~Tr@Uun_@)Dr%_Fo>vkvIB0?;7>3djb>xEWdockqp89 z!((_{H5tg4ExSNdeyJ>zUz)NYrSM(T@_xlD%}06HO$Lt7596$f{^K9NRgCtbm0c9b zo#TsGsh!2M^;#^f@4yeVDwWYQH>Nl`bP1#V^v!gya<}z!2_-F_4w2uwbu%rPvoq5G zL*y3=`XD%$v$I|jr0hs%HaY&zYCoF;Ge(sh?*z-;*wE_l^#vJ?-l|9!W`=mB#lQr|PgD6!}!>^OF3O;c~zu zc|rta-b#PrIrITnkF+SKIql0}hI>ebUHarlc!-JevW`;NuP-@1!_Kd959d1kmAVGT67$|*LVT5=i zjq`9L=&PxL<(rOgJ&gW`KmK>|{ME}e)s_)%8VbRNgo%@Vgx=O(oB=*NE)WhaozdB9 zaCq9KB-GYM>0CX4Mj+w^!ii3=Fi12{Wjc%|0S?f4hY`+Q5NU!)8n!8!rXQ7fY`DT4 zZESa1F*xL*1+eU|jxa)C9-frpPyvSxB~!J%i#BgUK65sxtKqBJg47{^TuhlzoRmx4 z3JfLzkgkH&-=1|yK00v?If+~*T|#~%kHQpXl%-P^;;H~yGJJ@s5F~lz{01bKv%-I3 zbT;na`XKJzd=z&8?laRf30w}*WSm6u{N=NF@#=Z3tS+aJIs=$=16M`>sN;alK>$q? zKx!A^wft%!mgW~?lk4s6on(xHOt)oohPJaIU4}+MsC7>;QhZe{3m~e4_Juj-BGiHj z0XOw*T{{eS|HJoVjE-+VEJn1E(3;!D7g{xNEXF0;}F?RG-9GO6ZsKqi8} zEKpCKLzDI618Bh^q4S)0r8Q5h?8e$!^Z`WqXj-IXDh{W+zTni{Yz|R7EUmy4oXOl= zYH1JU;nm9*IpL&-xQn#8!_@=MtOxK2o?W^rfe3`DwPu0-FKt*?Qg*r>P*(Y?^(9l( zhsS!B&LwZ()w-E`MbinK^s~CMnid}|w1dNaF+B^DoF0#v*@+k-|GC~B070!@OSFAz z6ej9gqw)wl${C7}Ypc4figkDZ?>U1xI3>V!QP)>Um8SUOi^pm8JCm`K@$sq2 zn3$Z(O%Sf~`0N+|Ij+%XCt&XVz3@VP!T_6<-;;ezT9Ln~EJ%9?l>Z1|?Yel!(BJ7L zJgp62)O=KUnY>BfLWL{1t@G@svX;Ehe}%Dd$it*^e;0n{xhTW(I0c#@kK4TFGZRl9 zNShd^#5ZxjC+~E}6Z2hoW%|;|H~Egk=qG0f&@jr;CCbS~oo~pK%XdASAGZ-yQSJJ9jcYu?L1wGm$?s(yH13g0?m^$p-O<-N98D+90LH^u-LAzNO6LA0eYmA7 zwvW$adDC@WH)50i;Z~r6Mb}W)@+i%f1=-0jdFk(W$CW<%R8IPAR}9dHZ8x^I zHe;K#_UrozZncUzJnZgc_H&1WturUKsQC5wmK7|t_R5=FErJ#RylUa>Pujix{`aZZ zt5u3Ve*Pa~ukNyFg{HLXy0nk|#~Q9=me&<6S?}%b4r7;=mB(lyq%pE@cD5C{p~B<+ zl!N@vQA#Hc(e6$N6Wh`1q{zX4##6Rr`_isueNE}BCAz^C9W4NTCkQoHGN?J_ac=E; zjsih$oP~aPvL8pvha9m1;F4|v(#*TNvpIRQNNrstWWugO;0PCy)7t7PI|)wxQ_lNG zJo8G{Iae5=1c;<@Ht&>Quu4HviQ-#5ZM`wseLHIF$GJ3}^8{S-On-h|mO4A#7)DFG zK9|U@GAYlb1Z!1skS^AIFj!d$xJ_>j)Kvm4tRXy<^Mb%f0lLTh7fHFgnb zr!XZ|12u{+1nwvm*XKgqHlYkr(AiAm*>X}I!RsV^2q%5HXbk0$jpn+U0wVol1fori zA@%D01Vp@R0~Q9^4igY;mbEqonYq@cm75Iq4Ive6qX1+`nNH$wHP<>FNnb4USpcF( z0gOef^P8qt{-X?;rtzdm^FrPlan!I;aR#iEC4QEJbfPXujT=yt1!o%sG-^K?C!)W zzxB~`*j(W!h;;bY8PkG_V!bR@GK0CQ1Z5QzlF4W}KLl)!PfwHct2vHbhHK?mbTofNPy)`eV1%fD>o~-Ba6V9=YmaL zCw2i8T8mmcdzDu?naQQ1cJ>aFX9?)r0OfUfQcwQ?bu$z1J-k|<&DH0hN0&^SGRTV* zUM|F}HCe(Dth=j_K3Q7goGfA+905e?^;*;psncd?v>krZeui=(Z{#0mSs~TT&y;T2 z9tjc&-tmjZwT&v8_1Z(ele`H*D849w!u*kbi9)1CD!fxEV+#JxwjO>9HXUawV8oFg zl0--!1CsX<;tKv__~QWr9{|T4VToxVK2w28mjKG)+M#I_$nTg>YKmvc+sT5t&kSeA z?32XtzCXRD04>d(G0-*|Cr7QZv{8?(Bj~afa1W1fK{mMDi`YrOK51>w`c{UW2`UWKt7|Va$wah2Bud=DC zf9t%+L~o^A5od>@bE`>iOA`qwTd5b@SiC?GbPBlI=)1PDAS&-W;~1sI!!M{bwGziR zl~22bqOJ|PuXT6yMSGKLY&sLY7&}bM(HU2VseCh)&-LTIRD1-Y_Bm)>g%HOnUaWSx+-uexXzWdJmG4x;A zyyb7~vw66C01DrUgRNQ|@1Z3eILrruxPbN^h2G&g3}4}A&+nx29P)0V0Nn_}p}zhY z8FZoCp>WrP3Bnjca}Yt-d`!X6Ko7U;v9`7qtD9QXs3HAjBytE%q8H#od+A3ZDAOU` z;dN&}(-y>Y#+kz=XbKl6T+`S|K*vc)5{Sar*}^AklYqeVQG+SE&6z_mRDZ@P79E>N zVt*3^T{6@3Q>A=KBrq?{$=MMpyP+^_53e0Ttb{gsput|7`}szS1K#mEiIv~}xn`yv zPC}DfTsU}XX)$M!|Kj7H##di|j^JOWJ!;W$auK6V9dQkf=~`=Vj9<1#4~kj)8J(JZ zI-_6zSBGwN^w#O!Ng%IYy^0MqeDgj#Jrm#i;5+f#zx5*k+5K?&1v@|`lq{2Z)(Viz zbY!Pih-l^)Xgd@k%PpPkDv!P0T734aFXOmY&vtSzW5Jr1-;t5A=jC2RnRf{ zgBwR5`B$TFhCXy4mr2OX-9cyx@aH5$ruWa!DvX& zZ)@Qc;CWBrY`R+0R2ZrW3|0F(0W2r$kdBj*Uc7h_|M@@tryMp^6YfHYI@zzEG71bY zsLL&sq4oJ^u`&N7wpLyMdY9=pr*ZqvT)g+;!?**`97nhs-<_8P-yYe=bUUDKnrW97 z`f_c1BaV*_sO$ci8XpAY0C?=jxJ*a(_Kw~-KJSeBX-jO?FXQF%M$`cj`aRy5 z8B3v0W9JCXRUensYwkWqzIFUpvD>Zfq7-eRd@RK0Uw<86K6^&{t;Xs$e2_A)Z?DJN z=4z~Lt;E*BPHv=8KdIB#>}T>1t$_A7ugj3Re5CZ*!bjwT3EJc}oE3!j5&N@e4^Q$b z=`IZkvLtv$Nso8oKRGn%wf9ndanJM!M(|nkKsg#|R6No&1u7<5@=9)rPi`CUi;`9T ziII$hH2jyRlAeMy1tiatE1Opy!5%YiIZEEnoQ)2M=%-)aKykct>tj#X zI3Cjz6EQV5mNWe4W@h8ojoUFhJC_s3TxcxGxm?%kS;d$+H}wb^mL zJpj*u2b><|?Bddfzk!2_w@OvgFIN+8wx*sPBh&#%#)m7Ag6@(t;*HIyi3oz6IAQGR&`PG>bH$& z|FM3`xjgs(;zH5V(#f~^K53nUbKHo;b%b@dFsQT$`ux0oBtf@*7XFwZl3=!79i@i6 z*+%hkDL*HBsyyYIuNfMvCKv#xZ?2(7f}3CDZ-Unbfp%HiOAEdEDD9hp`YrgS^yP0l zsPb=lkZ?04YjH-}DHVN4#UB9f&>EWni%rK6$T>{ojA!RgoaoIZae8_>vy<)Db^tgV zu?gec-Cm=^?E@6gqn(_z0V-RlXcS-s#u*HlLR0BhC^bt9p(z`(iHXmB7XX%A{jC$R zznxs5rg8zZakz#yNdh&Q()f~$*9`(r`j8Mr^%A{ciN=M{k}3!V2-?_%P|LZbnP3x! zn!bS*W3{Idzv?9U2@b!JphiF|A!mmmB1e8RN!s7#T1%W{=n^sh7R;@!EymMlU&g|M zf_o#*>j%*dm>dN}j$O3G;PGYj9HFTlQ?Jx%mnLz*Fdrw+C0}Z84gvYw_55aMXA@X{ z=YtR9{YUS`ER0vb%e3ycR_+8XnO`TAXqnP^S-_&j!Sdx|y#fS*H-JIytjtEdy5kTg z|LoafEYB}xK6g=w?3k%35-hWAwtsL8K&!D?4LSt7J0*Z7lBGxE9x^Cu4k|KWTM+ za~s+|&OB?;G~M~7m6+eyijDzeCH=W{TcBPy8ZnLtOtjO$X8j0L=ZlRvga;O(x3Y>3!H6twQz@A z%1m;FOmj{o@_Fvk0f={fR)-L^Y&sMs;B+y26{POo&gdT!bV7g4)X#;Q`&o4NwDHaU z7;yCo-s|n}Ng?czkw9K+lFU#BE}gnu)AssOZmqewwjA3i0V+2m4!uu}X8BzyL2zst zw1CQd&tc-5JBPWHO+Q-qr8EqUb~~}<;KyMP+?sBb9+yfXrtL z^YOxoB#!zx$^g(@-dT^$eU$rSz`tu%YE_`!w2~K~DOgrHmTwit4=K{e;Ud&Q#aoh3 zz3z+NgC}vX3R-va+Q$vHC$CC=nbC_-FMsm1w|SSp3&{0pN#FlD=W}_qg1Pb60H&s0 zDfAf+MIq5_zL&3MzI^6S*>MK)Qu5V^ltY_}CUaI^_1PJ`|L}Ytnu9kE_QkdF(YP@= z5_5pL@xh)L>+g=qQFtHy^V;-8`n|a?x~oNWIC`V<}QJF5<30rq2qV z945~h#0fZDML|EhVHBd_7^KfR+93ZvLGcQBh$hSoSl|(B>KaB(0E1 zQ_>CB84rA*wMu%+Tq+lNPF^f#v7i=OHBa)4{9@8-$(Y|TRCH+Y9Zno?>MpI~$OXB0 zv~aux)UPz>Mn<+ai^@snF@L%RD1bb zuNn!Ib=E*oD)ggM&a;Xxc8)KW0+AuL?Gs;x!S zu`_1dV+TR8wWn3dMx#QS1ez2K0Oc?vq!#T65*HrVs@Y-ScL%?n71wl$u!qsORESy% zHB7}ra8eWvl7WAPpGk5OPXU~E9H@^#Tw9BOCXvZx!+9;?`=|Equn`qc9;}~yMv&~R zGtVX>kTLkZlCGVxl+VVt(aSTxTfVK|QxZ;4I(iz#gts4r3mVgnMtZnUfm*WI|O|J4#+dDYCh-WWWp`X1J z3f8HB&IN9%Q94XBVCF2=)*aeLXaZ7t1c?Y4ciFKm)QVp`dmg{~)h7Tn+O}OQTiK&p z#_O!eySH!0?9^ngovD>q>!RSh(mVy|uCXZtc82CaZ&wTe1f?zWGdW6~^_7VQ0;SdU zjd-!V8tn+Yj@}-cL1w3OJne}3?SjazN{|~4AkdPb0yYJVlhacuXAb$FBQOU@do+gn z%Iw-#FBfyk41Ia@%^VvaONK*3lU7TN5Le$D0k7);3MO?C>EnHA$nRSpU4TJ{p`}A7 zwP^9yPqY)^*#}_sImL#)PXYT+V;`W@)O4Eum}7v#;j!VIIp3z^dk2bT7kmUjs&A$B zA^j^Hv?S*eTF{x3G**`v;_ELyjTcY8BHfoLsT(;7!}aIJ#s^|zYM6do)dOJB#u?n2VdRUS*LEAbq~;2Gh?;!@17tj03^ z*0pkXj{xr{M}))JqaJptgFS-VSt=@>I50-tkJIJ@4kg08v}(#z-i*W)US|6ypOR^D zRN&Bi+58B;OMrLeND#cvNfg{O9p6`wR>C@YR`RVXcwfO;@u~8T|2#@Q>}`ejX_1j9 z72iv5aL#;im&{~#h_9Q9Y33Hid^@wAWi&teB(IZ4`qrhB%~0$BA^OuLATd3H`KzCz za2^z^@fLKm3r*JdP*x6iP<{@gx1%X0M*CuBVkpLjx?`xzBgjZqXNM=u-(ck_lJ`sySg*8VmI?=%Q7U25!-e&EUq+N<=_o`U|b&rLP}<^((v zAWA)Y5sWT<2a|A(QTsqBv{VLH6^#a=;hize!Wx z&wQDdZEt*dbkaKXSW z3A643fVgXfYrl1rp<_Or7BCvhN^Ov1R*368ImA5FPe(;KbtAmmsnk-j&ctdbWzyi> z?cUl$V|3)fI0Dgc?ICnP^kvPh#*j=i!pc7yBjG1R(ay6D&ph|3;LpO@0m=>t9;Jax z{!0C11xN%iQW>g(Dkmw)z>_ebHi_03eJ=@@vQ-t$IV+uDc?4H!;e=pb6D;p(bx?DX z?#xY2cp?L~Q~ACO{SDzJLFPsN%uYk5I0F!f*Le!~I3TYZ5Z=;S9H0d^k-qy{=NgUV zL!j@j7y1`%tgq+tG8^lwxdco<0_)oBbld`LI*imq{Bx~HwY>zI1vHTZ^F;94^$cAi zWO8CMm;BHgI>EcSkb8G8psTAn z`Bk=|LxK`r4&(B^G;jZ11oSw0Ny}vyfJT=SX;|U0VuK|lf60S*&{T1W zYVcI<`q()3tqd8n#P_#AMdJf-#vE~@@m{89oQpUxqhoH8~>*Ps4qdMiz_SXw&9St{Mq%M_0RVM#n;m% z_sR&K;L+b26Fkgs@`+y?iaf|b*-I$AhTeFe8D< z?6sU}1rw|YxJ1}4a+_KX)!NeVLEBj0jLofGI*|-cZJ|AvFR^k&mY8BTBxfAfvLGV7!pN*P3{%}^qOl@8ODY5Iz znM7|x$c&v`F2gOu=*F`VlE?_AWrY=9) zJ3#Khl5uEk8c{H*5>@=A%6DG_TH>VxGz7M>upBF|=Hm!psP$@M+-Y9mxj8@ZpdKBq1P)Z5t(*zC{tfBg7q=2v=fNtXQs zE!Rf?7a3hg%)fjU?hIjCITIbFP!hBpT3sxQmTUKack)#(&q7~Oc;3D~oBpJ=Z9v`r zUVz49>e^&5wEeuca|HU4!l<`YcP^@T-iUDRQlnP(rbQ7QSgn{^f)Z1+o=D`* z<&l&%`DET9!;RyOpJ;M!(&4LFe+oVMbfyeX<}C@=FOdiRHjyB4p~8f`IcjQ;U8-w! z|0G_l)#BOmc6>d*8PDdI<0;|U{8GGpwUDbMxJGXMU^hXiBfG9v(cj-4V_HJThhuhf zl)mpoo_>N$%=CrJ%gjzqph%V>^6L$NsSl<*cR3kzWo;u?*0*xhZqMOTfY!nBWz+ze zy2I$+;)s&N`Gz;OaD|6FJzJ(~osx?R#Od0W5Ds~q5|K95`dN0Lk=`0^1w5sR=!@_x zp6TXMnyREHuT=KxGoNkfKO4DmD2KeK;l%b9+$D(R`}*Q%I!PA>DZ}VRo+p6fp0rt9 z*Lc@JzD_k@N#;p|ltliX*ADsX5|yc#G1dCt{tWPgzZ}y4|LxG=OWC*nns=(6Xr^5NVsj$si>XWKhzaCUA+q$wg8jcFpymIsUaK z13qbh4iDodaS=$q0*vWPoM-Xaz%udXt zv%50}jb}$VgYX>c){o7t4c!?)A>w*m6BFY(3?#^vC|$tZcoK9j2Vn<5&}kuc0+$PY zJGAQ7hJsG5Xm-Gyy;-ZJ!~Bc+m+|=7)A;h~llc1ClX&v-MLeH>6|a^S;=6zAM{(o! ztt`h?9Ili3FMj`jj)}?X++oM1bJT!c&Y^yIkV;G&0_b4RncA***-O2h#oe1T)Wc@< z^|r(Cwd%plI@)3#p}w(Qi>awmK=wq|tG>w1&D}}QE?wi=mtQ@3np&s(r{BGIH+LG+ zO8nVppXKD4fu8QPHf|r(V_{=A_5qg1=h#S` z?QEq2(%jL5=xmN>i?8@bPY#QZjE$w0Y;k@8<>LUwU@R?^Dj{W9r7c0Y!+ql;L*#2e z+dQq%1P@&-93pY$0X1otIC2T6RTM>a0Z)P52>=lij9wio*Vo5M@`3FPd)=pYSC*r@ zm%0G(yMxd!ZT!{K)!3??#XtTh|GP}*s*eBh|M7o?KR9}#w9|D6kV!jrp&S@G+RCU; zGB$Yxe8V{1#2IL~MmW0E(!rCCqnw#8QTDe+jQNL zp;EJcsqiY}8UdgHzf9pz+-5*#?tB6t&U*@0>N5AEZtWzxNI(C!cXGe*_2=pj&vVAXlE4z`<{1HVRly5KZpa^CiCE!NgIVrvK5g)bh|oy1kk zndhzqQCvJwh6Df(laputGW&FsK~@d)b>|46fJLR>H9WU>_hNgmPI_9gQJT&PG@Fw@ zv|hQ(kZr7=s74y=zvAWZ|L}LRov!lu)r08C0{-@cv77SA1WmbToB z-*vZpI%v0M>N(0P2+Hqb00F=sy7bhMltY?;rb~eQ(Jr4hmknAo0~(y*O)9j2m893A zIH|~(&yqJ;jXW#M$-5OG&hqef`C0l!349sa6y&DW&wt#ve(aVik-8dA_uq`xI`a5} zddk`6wtbQP)~m(}^P&q^Pj_bwBD?h~_ADQe?s8NNIx*y0(0oISrvCG0On-fG*lS?? zI*%ooe)TMYCBLii8f?D4SAo!ir7B?h@VyUX81Vbo9e?B5=x66J^7f0Enj8X%Xd#=7 z5r9ZnhmEck6LtfWaq;S^g9tR;?#sy+64IpvLuETzp&9M{qQxPjV(~a^Igax#2%)bj zPP@-z?Q|#Bk7{v3MZ9iIfaGOP6yklp+6EDJ(Ma7g763#K+Cq0rPqaImm)8`cYKUd8 z?vh4Tc^)>7#81i)hqJEU0L8a8r0OsYS-V7$oq+_rmcizhS)42XhU|N!0bk6@Hu#SB z<>!T`LxkkX89M@eMs0Z*q7H(fR zIXMyUJh+#P&LvQC4{>PUHgvK|2kG>7w!!i);?>$_JYQa;zLo&wOYv%PId*FYxx9_> z9gfqobZ}Y#lRlakr_e`t7tIbhp<}BExpt=$Oq@WYKyn{(m4a*6W^-*cmoaj(l0bNN zW-3PuzJC05ym|>prLEoP-NT_6Y06o%3Q#BMj1X6)>l{F2eOhLH&U)IKa%YM6?@Y(v z{=xnD@BZG0aqrPYbdRGXwyno*GkH2+iPaOr(HcOr7Dtrj6p)fYlR9ya-lkRnF8w4y zCv+{`IHByv7bk$QIs*8BnmQ)`O@QfkK%(w79TfdEhlU(Rwm%#L1e`eKXo7X;Xv>T{ zDY;A+$`Utu=Q0LHCgbp=DOOiEa+w<^BMCZ|0R636Xs`Gz=*C9gvOk;^ja!l6(=V1m_#kfLrCsQM+QB~$*~0FD)} z%=G<_awL!Ay1>B_^8Ne{-_CQ1Qynxhu}q8m{O^d5qgOdGlxvFK_=b5>wontcdFG8& z{q4xx1)zhxx3+gir}GPX2jQDTDA1!QYU439I*y>6h!H{`_nQIEM^u^X+V=JUXrR~4 zodcBUMU?6Vl$7~+{Pa~kdHyP%zk=t{hh3l6W#hKDQO*u(X~A6E*iIkJ%{>>A2WA6U z>L(ghT=C*0!GRLe$w=}Y`MCL3*%Zh+!O=kRul&fiQclx&1x!-W1oLNx>~Go3jl6kZ zWmtMt?5mI{=QI$xw2{$rnB2gh&1M=lU{agq2Gr%QVDLQKUO;AANhA4PqLY3;lgA=w zlkPG#5A#{tJ(VQE6Ctgd@J{c)er9^mjr8N?*?9}#znQ*C`y4s5J6SC>W}8&yHotH3 zk_VUmuISclS5`1fiVe$B%FVN^M@w6d++wp?lLEjKJ|qwBhHtrnh^uf|PgzGCWmsG= zDz7W$v~HYB&~AWPxY>tm!MbFfBU8Scv(UASz7Azyb&X7pVrFPutL&F+XR%9rwYRRF z7+1^S{faiLd%1+vHykwEw>w-UwRXH6y9dj$v$uw@I!2r8kFl}QoYkDOo~Z~cPY~*w zVp^8UaE@9A?EnEb!!6pnTcc;BC;BJ*qj#z&dNNSqlikrZ))}pXEpgO#8motUQPVt3 zv!ofHVABdVn>20Hn9gDcA**yO9Zw{U9OMLWs=Ov_HgUrDbJOYY-) zK}hB+krwM@A(V=+?2MFy;9s6e+YaD2{9WSO@x0F)TzlURnT*mr@ckS@&*RJQ1AO0R09gR-F%Q@hEv$h|<{OYUtga7d3`2BzV2l3DU@DJn1 z|LITTm!E$cU%z@0^D9fap5rbIwgw?E&@M7-xzQ)c<9e%j@GyL5M<;7Am`E&+dF%)wYwJ^ zTPRiAJLIV>(X|MuZ`b#hyz0Z$fui7W=LOGH>=c480IN=PawsadW~F^?)5l+bo$Ibi zUNRT~+Qj5I{Sd%QIrSx-oSaM=Gm_Se!J)zYwsoPK#J#(Ba%g7|rZq9x7x%AC$KAQn z_~CbM#()2N597PvL3x=2#P{vR0YG!}0zrGW8G9El-vsD@<^}t02>6yZ`Z56D(A)yJ zqkr;M03UTnf4NX-kaxOqawKPpx|niDw?GpB1_+aeRi^Z3?CC3DS*xxZzvWR`(o#D$ zH68DN_d79t?Ha%34;M+xL-d!8wVkN#=ss|o3mltHj)q+E;Vwo~qa!inq!Q{~kg3lw zRYr3-98US+UqjskaeZ_;-o1V&zH|G2Ji2}>W=6)cO&m_^g*H0iaXFbLc~n{Q&7goT z{7WGqXp|Sp=je|)Os>F{w>dK7LhHI2h_KGndg(hQP2>7oAxpZAkbF_zl{`ter~(*G zqdY5tMEEYC#lRnlamRARzB2$O!S-o zHGrwxjfRh$HT@en1d3UYvTy2=nx{^!;|6f@vT%cXCpFnZ{NaeeX;8c?+J?vYi>15X~-8%;Q;Nb(|e*SL3EA5vp zS;0>Gt{)3P%mAQ#E4=;-+pY8$zbxaihpQe6C7pT#;LrG^l7TSNWgMC(~m)H8f1TDw}KYY-ta zjz&L;@EGrlu3?yGF9NEIN`?9Ah^e(>ZEq{q4tC?jR*{PH@CSlwoB=H`$bIM`%9=z4Skaxq zNhA)pl|{a_0{JfK2__Ki4vD(7(T(dj0T$O{e0(B?M@AsjfoP?z^cQ@xu#{^w{)<2S zxACw4&A*HP{L`PuS5KbjBHsebUD|t34M*aH0CSg@x6XMj!?Y(~;o;C>XIFdr_HC@K zBP{x;GKXQ#sI%5wdP|_=(3v|lxUaVDS=&FNGb2m@LW2X{2{>Iad}4Gc276&_fYsF6 z>Dku+FRWOm?3mzKq(ugH=4%b zh&Af<$;$!5s1O4raMn-yf_BrD z#WagsN^=S=ccF1vB6l0o%|r$wJu9FyKAE-Ox@De9NDAB8nV6XziyyxKApZCN@OR^% z{JrnShwn@SLWg2>3Wc)gD0VKlV(V-dfawx5j!w|OTA|C19+)PfozPl^ZnE#5(I`g< z?#v{`Px6+|tq$(lZ*mBT{Hn3L?P!-iqLj}qFAt=vW0#=WNha*9U?()?HlXwid5{a; z&(Icw1HI6@&ht$%HZ?=r^~B~neT4edPqw!YC5(5k`j|p7cjA^qt*{HY0Sd;M%e)~F z5$wHP{V@&5ynp?6ymRwT+(8MPp#4=?bPLgUO9eU?%I2!nCjAUS+SKe>u;#k4S~dy% zxlp=bv{)}40^`iH*TdKe6z!|!tRm)QA%%1LXC@CUAkg>Izccw*X+wiTz4CX@8SUPr znFS4;2>un3V~hK|a6^pj4v|1+l_`Nbj?qb~qFj#g0W?GaQ08^eR&{lr9L4l(T z&S#)tSAHbGYkb&RwH?ZZca@_Jqs{B1$T;iW*K~RChABW2@W@6Qv`)5qKIbRFp;%)U zrKFraO8b|1(uU6}W0SHrC)|>sl5PRW8OJX)-c7m99qBohGH5;BK?u^a^ik1Ex{g>5 zLMF{Gd2^MP-;vz%dxR>#<~DU76KdqAa5Pf##7jx5nE>&uLxMi1O&1zC&eAY*d~y^n z@_&R}5%jsSgRWY-6Dp4)w`ZEjFO2M9KRB!b-8 zxlTH%+z?d5}1HMtK03Kxe-VZy!liJeP5op&<#( z^!1xWxI=^v7jIkd2w$_O)hpMOMEEL%t@j=P%i!Q3pmIDWr>0`ep(BJ>AMMcPaBELb z9P{qW)wTE|K;=LCgFlQv__zN)e)`cb6_`Wu%>wdl-*0Btq8gJ-b%#9k3%9Z zYqQzWN%%?+SYcaP20{jI9XbrARb#ljBkDV=bl^H*nf#G8t$hMit&9#+Xek>S(wf$B5uU!#CXi!n1aEah0AXB_YCCZ87B+rcUjSc4W?%AQak2r*Y(ko zj`&%~HC#kpXK?9UaK7%!0rZ)d3$J1gn!g}#C$$6Wlmuzp7Qlpd!KsmP1XwE?W@!Wa z+`!-f^mmzp($NHm6tz^Fot&u%z*0%DUIgSbGgCQKUWchkPx^W8?rz8VaXp3r+YfKf z#^3thgZP~v+>2}1`=VnI;n=br%jcW%{B$qod3W=iy1N9hHMRf_vKPt?xN;|p&TvZDBxrtP;`LOaRN=Ar6R2WO>2#3`BnD263P&J2?Z$1 z!zE3HtwJQpl>Z7@+7>B*1ee5DI+lq;M)Ketg=ao9-SR8}T*mWU@?abJEXkevPGK%F znhM0PB}-#Lb_P-^oR}{Xr@=LeZbvcCJmcmW!P(0>F~ux3_;LB+Tb#`gg|rN(1a~kx zJ+E_HaLE@0%Z^+jw~kPpcbuTMx)i(Hn{k4GcD8g4ps0I`%1v%;K>6&~0vd-n-OkVL z`*aDD#XCPiz~C-0T7^^qrQuw&lRln4xTISFOu>M`xbjPtSo>rbG}{5c5JdbYk5XRi zT~(koo8?c%!5?{4G-1&M^{2V!aJn)ipVRHA05BZzn6A;C zm_xD&Dm`Z&{PTkL7qIa^F&js|`bL&2dzGD@1#nu!bqCQ}T*Z+_Erz7&+MwkNVvKVA z7iCxjNaicj?i(5Y`gohJrBQG3Le+naTQGr2aC=;yw`BPW?YK$G9x{C!-nNr``3!m~ zZYt#U)c$1}fKKIBv#S89xHQ32P;U0?xjnKwTkY=dHIx^@weAQ7q*g)t`mY6_m;U+} z!(S+8<9NGl-*lAP_!fs1EMs(R|GeoqMkl*s5a6g#m3i#|epcL1n@(H=_fXERN)SXR zHM`FEPEDJyySZ02aYt<^wPOe}nF}5E6k)ozyPr!|tZr=Q49*HzW}A^>0=q_0Okcw3 zp!2$8i^CNH%vRFvrPFt5HPO^h^klw#w<63^m#}5>CZgTDWGI`H_s&p0p=fgQ{K|Z|ib;X=AF3$}VIXkIEb;faR zcMC?j9*6Zk-T_b}nA;n|*+sSmKx*SoAaNVO-hsZ{;iatyfvuGYfTIuQp8+uc>A(7e z_<#QMe;NPbPyRH%dh&H_Zf#KhQ-phGuD2*4Qh?;X%rKP-G%GlBsN8H>R_fPbfNF&S z%W{>6LsiRbThL~6EH1Ca(dH#eicARNjy)KVnsoor7=3gfT4_t)!2}4@ zo0eDC{Tl^jUmG8cdvl|4W3E3&CdgyYZY-X?im#6r;>pQ&yn+U{=nf|U$Y}1S%>k6{ z4Uow_Lz|N@T3sL1Ji`y0$4uP>?6KLrqFs62rtbm2sfoJiT=NfrGSK4n`e;B2^}kf-@3 zEvWKpL8Uy+FUlYNHUWNFW~Tct@wqGiYkVQ!NkMP=+$ln=_y!h1T;dv%@A2DRXAV!C zRH|(7r3P=MoSZT?AIrR$9Jd?y9Hly-AGpcEZXDGOJ8`(b8waj_Kp)$$?a~iVd53;T zA93wQ^JN`*RKhp&tehgQ=DPM4*F9~`WxqOIhZmMDUP-@F`cw6elRN~NIiv}|%pr2p zvCr!wB9E27D(F3Y$6(n_<2P|+9b1Fhw&mJ(DQ)G?(mqy^?dCIS*CpCi7^OEy6lhWU zd1=>_Z^Tg)YAtVvzjk#Bd}yZf!90{Fih04NyD&L9sD(Cp1A6?H?e9JNOsS(nKLqNw z0(1uZj}}8So7rz*hbsSBHp^gHptC~L-1A?iUFb2($$PKS28meaQYQuU86{sdD&N&m zRq9QokOj}@ez#pEJajAaJ-|A^GPeRohS=8~!ASQ%t>GqVz6hlb%1remx2qJS?(aj- z`%&L_`8oJHe6i50MycYqrJ`d{c`7>v9l=-h=`6u*FW-z(zV#a!=&Ca1_g{05v)}oq zqqNeuIT~%4%!(f!T@iyL?a_|lO)D22D~D0ZfB;h9)z_^P{9vxfsI@Vt&r@jy)XA7i z=W<4#grH!$IHr^C9>wlTE!G#d;??ujm|xtaf@FLWu?=Ul+t`I5$~A;Q{sfn<XjUM2wA(#NgmS`lLBQ#tr$K+B)Kh^0^?alX*V=?9=$8Kl_vT|NPs36F=ts^^4~@ zEN&U|JCsoYZjcdcMb$S$e>VY=!F+fY7`r5n+ci!A2qwoTVrFtG=BB69ynmI4b>`4= z4f@j`a1Bt=-qIHR)WJ}9Z`_#}i(Z7pz##NEG!Pdj(rP{1W&p71R&iq!qcJ$z3r%R* zE;Q*54GOm{>hI^j_+>nse-%Rj&a<+eQeHT*nA&Ji}I!bgD%bho7|ci8%c#uqV)?)i|Jr++^ z2>>(%?0&SzadeVb0Hy(e+1_T|pjfoJ=5AMXwRh78V5Cj@69a_~p%no0#lbQ4WPP1L zN5|=Z3R;im(<2(~ATAH<;kLH+*9?>~l{ngU z)`@-6i0_u%QpMbJROt1H(Bx!{xu!6@R$$rP(UMBcCA&PzMG?r_A%Etx(3wBw zPp{ud8iS2d|DLP1GM??F!XiKAZ2e2)nU>E4Ze`;NI%B&NnkXNZ$=Pw2bG7Xd$D_L$SL0UZ!YbjWnb|3tP(Q{YsYS zO9?v44~!>W zZEx$3siG>lv|fpmd9WPhhjay`1!%f*j-XSyE$%XCFtT18g(&Utx_>qDnI*QYG^)XN z5ac^@W*?F7Iyxsl`KH5~_*RD&D}#cHtmUNA;nB{Ry*5JUM6d`<5;?nEgiAhX*4;|2 z&dz(|`i=A#Z2$i<_oq#gC0TkVcHG_E&CJdB-90?k%#2(sYp?EV05jdda4;YN4n-jR zFn@yNPvBn|AwN@uGNceQqzncS0l^`M-G#13qr0kW&3%bI!uNeK-^|_lJV)(DL{?Q- zc7kXxsE5YAb{D<696jefM~|xZ4aE5==$m+c%sXu=dLNX$g$B616FbkgV;`V-zJDJ5 zoqBYRd*d-+(^-L80X80$k{}O3Ey&Ar?n$(QCiO%CpLDLHZw&$+ba?@ZTneT>)31|v z3eh`!M4q&?QjXl~8zL=)SdK|7M4f;AR;m1=T^ZHD1e^M;3N$6k{DQ}9H;<)Z5@d2T zP1Aol5eU)n&eSdh2B-v%fSlMm{oF%ol= z)3G?-ibj8L+_-*?_CJk%03?N^Jbl#R5NSkA&pC0!i9$WGy}6B$a>4tO~d?EsRXhM`6)t-uO1m*NrRxogkPVLLYW08`M1b!UAV?9jPhCBb$z zWd1ppbwD>=Au#&rH@zrmJpd>3c?mcZlubC(p7s)K`ks?#R@c|jHj7WD%80`=_C=S# z+TYy`x01Z|+FbBUaz;%#yR#4=5ij#yJ*0hd(qz5iL>2(K<8ncA$;9pwFjVI zL-_X|?L=p93)HN?XjhY`4r3MsI5RdL^Uj6_{5vCEKk6~vjA+xA zpoO+{q4ATmgMjj)({q5bxF4sN)LZK)`o`MPGjbHY1JDDtRfIAzc|_q?@~+Dst)5yl zb9yB_q{IY}{4N5Fb3p*d$}cmemd~dUl{b3NXZX$a^1GxZuPuI@MaT(Ii;}7<5_up` zCCJNYyKGs)^XuiE6zVCIt0=j1FNLN&-4yaoPB=b~>p0T>p*WRJvE3;|5=wobN3%dgxqSf0-3Y$H`g$BLyPRMWW+UU<-^jW6B0+E&2fPz zO1=QWpfSa|${}(9X8K^J1@nu%)SxU-K2D7D-D$pyVx;o!Qe@A|e8r*gs?xTl9ciP? zZ)u+bABfpjwqL1t&ute02+fu>snRa3IgIUk*D8c61*V%;F`iSV4b&(t=eC;`Q57h^ zA+Yh&CjFwFyZPwWp}!05nP+n&Mfr~OEX`XU-tlv$HAuSx&aZzqLo(8?ox%jNaHEJ!V1DYTk{F*1ly)gcvzFI;Lio$Wdj*A^$qNZF@T zuw@IK0VMS!SXo(#jg1Y2Qh&@(&qoshb+!lE-aN_J**uG*m7~~sxD}fZH)4NzKQ0a~ zquxU$)rV=fT0C3dj)zZI5ujR}3V}-K717JavSUga+!t&%1bw^BE#pM+crLUoT& zfer6vr!dWKcn(gDUQa^vIXh4hAo>8!!vL=@UV|}B#R%HBpr%f{^Z;~^PCBu&z8UX* z_)+}m$3Kpr{`6<@;YS|>lJ3X7hYxbAyrs4EI0ooDaVv+(VTLY4bxB3>r8Kt-QnY54 zAtpK>1U%TR!%%5!nBnck>v5BKePKRkC&yzPW<4@!dkv)d-+HhdR~f9mT<4WGQt8>+ z-p-lX7h0YBoxwaBGl0#r_O4Y4ZkY6B>QrKR)Q2IW?qmJ-sLhtSb1aKU5*5GA4 zdb~`Ud-2)l)Z?SaF)=qC!&4*BLB!bbSiE}Y6@ZP5#QN%wW@{*Rj$jY~UxO{3bm9vH z^O{Uq%~ZPTl7g1G{e8e9z}1DwQ=4xLrW=VCtK3Zpx;t}71MOD&909nrhDT5ywALQy z)}(_l5Yyk@+Tb}r-~Mj4pTm7UfYu2>+O*}Y^Zh=Aa32cdeRY6#otlsN>#xGIZonk3euB_~dvF721i|J>0U#rH6rfB1p!78a z$RI**tOKwF5I2q>mQ$Xk9$Jo`AbgJzu1E4V&Y_*;VJVbUlm$9Q>8^l3`A32RqdbLY zbHs+as-7)F=JF=f>)t0OcqQgL$sfD#leRqUxn(4ukyk1N1)wE8gMBmEA?;Rpwd}13 zXcEfbMcMMN^dUKIvDlV$yl*J^%P!-u{Hu=n$Ibj6SLK<~g31}Bm6HTdT!#_56Icu* zbf@57t|hGSR1iBFWV;A1%ih-JPsuYKNaFoe4aCK)YlYEL_ z_{#v(C=V#^J7Wnh=ZRV}RZ?|FB4OSu<-PJ?<-QcGcJpigOm!my=LnDzh+ski_It6%k|I0S^ zHKBlD)A<6KS0mq$28-oh@GHIYa0c4|;7DFv{o=XRp7+dKwVrJGg8z5>4u4u`Ykj3m z@kyrh$%!J))o?tv~{Ca5Iy zz3>9dq@|KXlHQygEN~PE3JS-e%W;ojg%?L+ULS)Wy@=1B>Aq84%XFSces>jQuRC(| zWuZvCuMkEXbc~Vtm}mklYY44#nB4`;4=S3Q9Z%mjJKW6lbj;4or2urXQZ-YD?$j&> z5LlOo{N6Z?vuzr+4ft#K$N3%v%XOJ(??sIcthIz^p&}PnRbVe|?#1qYoAe|MHF_31{@z*+qb9-9XfA)03!`_5q9T%tktWk5ZLLLRh`)4{WTFC2Vqw@2 z3+W3EbI2wWb0|RKm00W)<$n2&|Ce(!SA3pipoIuCEh(P|b9THhbfZaRKJ!TekIC>H z676pQmd<-(eQOW!^DN%~@Zqk6q5ZXgHTfxUi zZ9v&Uw1ygS_l=tfpH|#`?FPbVh&q54X)-~&R{Nj+>=y~z=Wkt$-bP=7KI^1R_$hu_ zCoq5wfR;z8L>jc6)jX|ZEtoke&bssuy7HMO%*5S<+!3f3045(fZl6UTOhlhJ!J>Ya zm(;nMuE1JNb^u1?$`G#a*`QtBElSJG{K5j?z06&HdeM%@0Cp{y=_nw2pm`R@z1y)J z8}a0PJsxy6~?myq92XCK^_J!JCHK{zg~+LwABDCCeYGaNv!qgds&vLu>xGk zUFK`oSGY-ILomC(fkt$ww;J`{3mw6uw>|#!=ctK+GY!Sb%A^2Q1mxxYx#ebGQR(QMC zEQi+zbD0{4BAqnP&OKi?sC5Oxhw=i`$p-m%1}8eZal%tJQnn^S89=uy9G3nEu6DRCx}1l$N|+ z+QS!pRQfXV+e=*YyD8T_x9t4!2){iCL{qNfi)uR6``rXfDG7pTfAcQ*qz90kORbS7 zL8>WToY7y%ul}tn*&33R57ws`gjAESJDE3KzeZJx##1R#VHF4X4HX}kBeD;w94UMC z1ywQ^QgPc5J&x`L2%8H&3{8PV2i>d?7E==$20Xx(Npza&(( z@;44c{X;R?oQav%Ld=d_i@DLom>h;_4vpvfZ%vr}!QO7}#jUAVurW0~g|J(UYuB#F zd7$`d`X9@57Ft-6ln-&Sq}hA?TmJ8D_dt&Eo{Zdpc7BGcH+^-P8^~UoWhaM z0h+FlDDcc324G@I)Dj8}1@3@o^oMdK{!RiYg*3O5EOJQBnj%xFq0{h!OxF)Jx?W`u z%#9E6OaYS#A~Sv8)sMmNcELhkLzp4hGMXQ*S=C941PRk1krZMq-&GjcSqjmX`<^Fb z?M5=0!=-NH`D}e7e)|3g@&EqgKaM~7H$RMD{_?$e@Zdo%F6?Zy0+&=f=%4L_dz!-x{Voy*%sE3Qkr4(4cW? z5txQy&cejqp=idPYKYTBEmc<;v+WsFZioAo|AUY$tYAn2O|fE>PIW8S;>ApW2K`cLBE z^gM3fy^}i*?NRT^c*u*+(@&OG(t$c%DxeuVT(&sxClL2Rn#C0i?6{iXwQ5RdYnz*K z@4@GB2yktqsBN!o7R#n!lLr)hc65DCb$LiP5j25HSjome}65)V6%qe08Gv+zf8A^)tcEH z7>+^s!O*}+4Ar3xz^De|!`*|}-`tLiqmyWm7yYMuwT?Ude|#8y-Cb71jLmb~fYiz_m*O zpQLH}S`(!a>*xZ$(GPID>fq`St{mXntt#nS89Vf6f!GQB#??1=_IJ`Mzq+&)OOG8H z+DD;u9b5f6;TP0L&jo^j)uG)q<|)a@;iU>R9dz2J&#P(~)n=M~m|7gr5DAomk#^glxHt z+t;rV7h}QQ)DXbF;e-g~)#m0#tgWJuuPh_O)^f6jihyevA49umXYvLC44H$^x1l*F z%gSq1@T4{QgWJlwPOSjKey%l2E71I00hn%}p|CfYo{YiS=))+tBkq_7&>U>`!wcjX zS07Yvsu918(nv<@)_aAM6&b~u?Zow@O^&veA$eTYzS5>YDXe|AtYb-o@w|WX$08ej zzWgq?tb^My*1KF&^|Vd_-6&GhJ7J*7|d3G$E)(rLa)ni{~! zX_gH#&%7r6fET#Qk&70Rx6DJ5d_JUw)puXYD?j-^AGh90D97@<(0<|u=tp3zQKXao zpOEDihUeWO8ZEwkrUQh4S}npLnf&rS^8BK zoj8{<6-^`ko#=)TCDI3pAgqiv`eQ$!y+r53lvvN0+5XZX#eAi3+CGib!_(+F?TJ>c z6%#{~F*Z0^td#&j{i}ut6-X4Hj;G&FS=zy+bB3Z>Z$b=ZQb}KJAUo^sj??sA=a9}u zC5o&CoJs653mU}6Q1jf}-HoT4JJFU_vcbEAkKj;qPdDWY6SrKD1ry#&b(L;C68*W0vH#^R-4ja#PYk`iWWi{@iqcbu&LHL53|0x z2;>g(Rt3YUwgI!sNRWv?kPCx@EG~c3FUXlbbo(0 z!GJWc@XO(+ezz`^16(bA8tglc9{BYf-iA*#25ULda%Qd(qvHzK(^y^xXg)oNgI((7 zVl)~(6VW*w0DvB$RBp$^hXAPcb}ArMA5LJvH)sl?f}eVpdr{vP2#oZt-vG3W*LT8;Q3CmJZgb1ysdnJ_q%!X=(la_ zk`3s9y!8SI1OpCv8&gP9Ci`>=-8}H=0%k~8;miZw;^ev43xDNE^my7ij`hRUSl)UJ zKRAjZl;A1)#TcM&0AVSS*^lgJPV5n6?(Oa55;Qv~Ejv3~skEs$y3Cf_E$bKVTAJI? z-3|(tpj2N_^F0JVaObw^$;p_7KURL9ZUZcB%7~|0<*_8mZ`&ZhG_OO5YmzN67X|$;i=)#0DPTSdzNekIb6}XW$d;>TGA3K3h6z`(a ze%ej7!uzSxo<;VmC`zX;yj}srfDmL;n4uj7D%wf z8oZjwwc(7&NR*k8)SLU?) zyZf=RvJvaVy{&^d+C$Lo(?R#>gono<;7h>A1X?2ilwNEl?V>Sm@3`~?;1lZ7iqsl( z?Z=7eMabkVF{o0l#AxGb6-)s{OabALE<%6y`a%p&&qk-;E$1vC%|~Nqlvrp)fOiTj zEh<3PXs8iDMP(VI;+t0pS*GQ;AtDKiSeR+KUbd}NODasbM2MK^L(*Rri*=L}V)~Z= zHml+K@(t6KkjSTx`9AMtr^pVb*poQRz5EVGLq5wf0Xpxf$vj(q8uuPO%>B3(o~Gpx zQ0_IYMHnr655Td#ua!h1Mf=v;Mfpre=i_0(zcZ-aGhGc|kZ(C0l9jO6H`Zf$WhqwI zR%pY$%=g&HXoAay+4)>k(xE7abdCBEmc{dl99@2@F#oFyYJ~!2otOoQ5`{uweRCVI zO}nDtTwVf{7q7*{D6|LTasrXF`*x(~_64BR8GQW!!LevG2B8h;gJP_$Zp5`Y1ji)l z(w?p60JL@gQuFZ_a&H3qAoJT2~pe)T!?DTBMa%U-?oh`>&2Vn}0AH&4YUGUZ&Y50acr?=Nd z#|P<)-3Z7W=tU?3G)DmGjk+L{`h;P25W1)B<2a{p_aaD~O${833y01T)&VU-648qi zlG2^nr{)c4w69mA1HJZN>L&ZJz?w!A|G2lZL*)W(_N?5kHUlU16QGKQBL)LZ68waP8_0b$w&54zJ1j}pT|Q14Z^}U9&Gi;^lX33 z&evjgVIW$=`fK%~u#Lyu`1QCscQYnhdCqqVAF=NUb`-vuKc4d%|MEGnDbVts zH!^J^-|vvGlkyQx46 z;hp>8(;ozx`Z+p!WM9!BA^`hcgd%?|e`&iSiHy{MWDS-<>=H3n+PT-(l@Tz5$= zo8ISD40Dw26pA^gFT-!n&RkzoMTN4;8*Jll%7q5GBOya4uu4F_dE&vYVJU~SpTASy zd!A4JSJBcy<#)}8pfvl1d?oW$`iEt8GO5qIyPQ)V1~8 z8E<)cB}dV6<~r$#k(_g(B2$L9i)*9w?G9xl(3yMpyYBFC4y^-5Jq~ir*Z`BcwzNxe z3346HE3r&&gGP;YdFP9mL+ZrrZ(kDn#>OZ9_ucah|GWR~|E7EPo5LUftA7~}KK>L$ zt;GmINkdxTD%x;@ABDXYun&VjIqh(*ftEK1LDm5=YiX?+AoFI?;a+#aNeh(3oCGZ+ zDUDf2s827>#;w=y#NunWqBSv&z^O+IV(d=k*C1X!jn(*2NY8b2GL(htZB>KxT*UIA8*R18fTF^n>ovUovNz>#qqg z1B5#9r!g=D?NCPgghJpVfo3O84iK~`n->7RO9XHa{r+NqH%>O!NckLkX@QKYE%Ip|nD| zWY7fyXw_X?P{8W*;8ol%r!61_u{y-8>i>ci(s_Je9P}j9;^nkm)}#lupcBZKvI&D0$rftbJE$xX&;J->lr#J(1*%K7%nekU3<+DEu(eh zFsHt7htS#4k?St|CF+QNE6rMdgA17pu<7=cnLH*BEI#X|BM5MX3b(K={6V)Fc{-BC zGVyJb>Y68r7LIa}?!@&sQa)W}c<{#^AeEicB8rS1-!{c z(RnNLRSYg#3f+MR-YH*GF1ubf!cuvhd9cYdnlr1Iy6!Vi;0R3*G=ObrG#qt`Mb-Bz z7lQ0NT&Q@s;8j}9Ci6c+jy@6j&tLgm&U&|=INEQ=>hsZa)JR`{u|U>?Wug9*rCK(v z1Je+cI+>_*s$VhXg7@bVM#N*}TdtjntWee$D=qZc&5QkyWHVCjCB78QqWSi(l+B~` zY}q`Lo{`4zccxFf**DS+fN$Qs`wp^ivYX-;!+-r>{~z-BmBHr!_%HrN-23FS1XhB} zT)zon>d>L9^gG0$FP{Q%W^OJQ6>lG&#OUx;T)%cR!P)A@GC=4!9anQ$fkxAB!S_03 zTxO|%!oW~HW^c~L?RQ>_Yp>pnp~g|svoV;EeOrlN(+O@QncVxoFGT>TPHaJ(Z z(cD8`qCX;*VQa0arSZ$>Y*Z<@Tr-qTSc2zOR1lQ~;N^s;HO}6h{kh3zQecvR+BqCZYRK8-`$Lz!`%ePGTvFh zzYYj@2^D>^1_0PDRWce=Qxn-vx`nv*qxFzYOq(A9xY~QW**Uj&4|0hcmq(G2=v(BH zD?_xznio{!M<59vdv*_r9+q%n>{@cOlD(M#UcR^0(3m$-qh59~9Pv!C>A4|o3= zs`tj?wMjreblZY9`VM3JQs2z&*y`-ZLFY7m12b4R2$BLc9h!#5w4nAmIY)OG&Hlul9-Ohfl=fE=Ky<2srELZos80Q-DrJI>qtl$-jhljqT9^p2Syz*Vcz zUNvf=Rj$|X%CPAxx!x}2Kcg;Ak5Cc?i+pdK_M5+XJ!fAYz@V3x*OJ+4mDa^Wo-i=b zNGpYP*P!00EO^RA&KeeE762ev;M>`b&3NnX?NS$46#o1F?*B?V)=^lrdeL{_fvpDh z+CNM^3*_O6UmUslbrT zKw)fqSAx-|FT4_g%PoPAqfx0CJE?+eFZhrG+28U=UgN&+C12`6=sQVCYm?lHYyM6j zeD}uZ1wqrvnM3|4;OF#-Q#a^v?a5QpLvWjSgtKMk7kLoC$ww91OX8p6P3uAd*a~4DRKQWCsaQ<+swA;K`vyE$B`r@_CoyDrI;9FjEnrFv2o< zd)70VPJl++J905|=bbADn;$*-VQlQKP;cf@g}8h_rBSxCxs?V4CW1}du+XcDh)Wnb zvCno>(eUYF-17b?a*t;Ql_BUz5+O zxKo$#66skilIziuCpV8#p*gz{aF$_wY8cuw&lXLZ6Es@)a#7Er9`dLgfR=r?9@Vc@ zT6#fa#egLMt7tEeU2*QWixO2{Pqe{%-aU#zg--iaC6cGK|u@IKy`w! zJJ4n9o~zKdQL3CHaLCc&{R5AreUOpghsUwU(Jh|$;Q9OT|JUCBMvVV8a{k{NZ2rX` z|1duP_!F4@ez=&Z0zvD-A|+&e~CYgX5}8~KwOb5bbLcLY&}^j$DoaZD|H2}e+AVt8O>vT%!2z34C1e>1Q;e4LAIF@Kg?Z^}U^I8G1<@|ZzG}j4~ zQn}s>9XEQ1qUYS@H%?<~X9pkyNQAKRHPVzhrS?rP&LbW8lJgFo$W`Z#(DV)fl@7HZ zp1A<}CE8Ro<|d}%*4#qen4OQw(J?wT!dfi~rf1%qxi*E+pPQM<~cT0FHYlte7lEv$-e>s+Jj-A zUpgCCYrR$|z(LYD^zKBUzGe)f)C@Pr0YuV66CNtiyr2pZ)G(e)ju(3{_}%^JptPLr zZs#sdNqh9?-tkuS0yg`Hp_4&{FKyAaXv%0EcF$Rv)M1a{0+6MZQvbQ*6M;`HMkc3Y ze0DnAbtSiB+uM(&r4@kYLH1oOEbb(v@3+Af1?-cqtvLXVUOq|Fj1*rx4bHkibsi1Nf;!BhCzUWsl-=U>~<{+lB~= z*rHdLAxZgJ#Y+S^6>k&R6y8(7Wh!DEUj}idE(H$dowRU}s(DKG#d(>8WI8Y+f{M7- z?~I(265o~|*yo^a%HZ-tPOdraK;IXKw9O9JXe%dfDA?1V)bBtGU67axm8g?<$r}07 zrp7DOi*2XCFVMwu@x1-b6Ml2byXMY&ybR4|{|9Vdo&a9XET2oyoTs9$P&Qb{WAF~w z%yd$u>utJ>jKMzcWS|56y8)QGLg=34FsSvUdxz~=h81~%n95YPf#=q@pox069?dyr zvresZ6-#~0<+YWi%F(ICyWik_OMZ3X7x#YbWr@;i9 zf=v6I^rccffby+nRKS>WO>oDbK-)B3VaE3bvh{x2gF3P`)0$@+QbS-S(yQ~!Q3*%O z3U3;y!BaS@C~J%n*h|~WT=}x?;VKSVH9P0XH@K>D*}Bdd@0|IJG@KK50D`)Us4%!Y zmm^K42j(J=v{ZJi54B}k#L~zQn%)pI^}4ev<^(j>-Jx1&0%xv*H61hyM_v}*8!P#GNmBVqu9*o ze*gNu?{L23IW)YN*saa6oV)FKIl4O$H19Ffg6=s=`|Y+n2svr-D8BZs-;1ePO-|5=cPJol35*G>|iEHyy@y;8!(_%C@G6JnBAdOnV zYH5W$K7om)zfgXGwk&O@uy;MdQ-IZpmgTLj++X>k<5DONHJkxvN5btwU3YYGo+EXn z>eEjex*s@%cfxb)KZUR zIRb!1m=5*DY5h31gY*EI>zCvUnmB+ajw$yUb)w?sZVcy9hZ(yAkIQE`!k~+Udx`5h z;$%KS=0y5uHerr^2pKv;oS)DS=tS)ws!%VdvSU8!kSqFXbwya(oX?P z`T$Yh1|XzQAx2*Gt#(40Yw4d0wbkm`xDHB@%=tPd1=o2R_Q_-~ziUL>!kw9a0 zbtOLj@3Z*q<4@z!y$5j$Q?#zN>Yvb7`nbByX!h%ZNUk)v#E4uvgMf-i4!>f>!&oTT1Q&Di4q;ZfWV{ zBHePF1m`Y~ZrUO*H9FbI5o+mCMPH>S-6LsSV~6z2Z(7|G3>(dxIsEeQl`Wee{P<^a z?6COQWYo|ys$rgNZ0^_kn=sR100)3ivoF5`4Wv#-bm)C`?OAMXuR*-$2$4n%>!&s| zmU~S%=-Bm9gc<_2m&z;49MpViEe-Sk+x0}mrKF7E6XzO&F$8@}Aehr>`%cF$kc@k}QJo8xy^W^X%mY23- zb89;_bA4s(3{L!UQT<#Cjym*Px;Lniq}E3swI~e(wkHtcQ^R91F*uYvEA;~=%FKGo z3Fxv7dZ-884)zgn`#LZ~a02JF6asW~AokdYCQIhXCd5b{v%ZNpUVH1WHLw3|gr`rR z#((?I{uyP3NmE~LFQ?V@sI4{SJf@~*M9ByQhPI(~r!VY@ z00YLXpwsu#$uDOJNr%y0ddmqz4FHr%kyZlmR7~vhN+&>9FTTH%;)9+9q~rTDhV*lAb#!Hk@wq=$d~m2 zq35uRk-e-}-;v?UXww=* zK5{lX=PqQwySYi7UFH&Oj*7@o1$hcZhfcr#)?I7$%EHh7@`sskCj%7Ut7;gmSPh(v zq7vzd#qREIPS&&E>o4v4c{_WXC{1e|cT#D0LQ&LdZGfN*P_~i6l|QX%zRRUlo~Us6 zQSoP1u4~b;qa-Nw5Bk&$T&yw$pqik3(&u0?dENR^QWb4a9}8Uj+)6oFYJ8Wm!=&ucX&~GcH$oF2w9`NT-ws@Wn{RlN9gE6 zQBvg5PUaYhu^gd8S*5%r@mx5Yf2%MjZCH1tm#Zvr-_0acpwjgKmq2L0tQ+nB(naRQ zJaD}Gjo(k6bd}-f_kR%Ed+YG10_3bG`B^m^T)HT-%X*jB6^?IZTh0dkT^Xt`tH9jJ zXV!KaV7fGAJ*8!W_iV>(Khn-2W8T$&+%|8(m$h7$(MI?ce5)VDSh|xg95wP=f-7ZQ zP6Q@DoeM4J@>A#x#Y%cgJRotX6!BX+?sFJjWsAO4tj}gorKKm1pb<$hN9-)&^Ewc0 zN^6#dd?xL2nR=3jx#eX-sT1qQa$7gbl9A?kOw{J1_s9uhmVp$>o8L`$mb6%wxgi2R z*U`)+l2kU89Rfb?Stm|-lm_L0)q0sK-;TZ|n6(d>ukP{Jqv6GGpUY@p>YfXIpI@&c znXBSAzxM|*{U6%0>C!h2n~#r8$DLbm#?9-mMXNbVMOry9m&Ra>jE=|L{6bv21|S@p zLf9azsJQkC8hC%i`0PY1-n||--?|;w-nbrP*QTOxxREndd#NM^MOp$WkbX9!Lt}C0 z<}2~-uYWtf{^r+Wa(o z#`KdQX*L_kZ;+0Hrf3Nex8OI=O_Rs-w+y%BM}}{QIwe2*#|Wguz3e<%F5TK}$_Xk% zZnxNzLy8-l8@X$f{)k#nTJ^!WHaQ!&=dQ)AnQO5yJ`>}EBLD%1x&VxHYG(_d(c$(x zC-HP=BR*Yz93MZq7x$JP#m3$ipy)h-rGm>DY7U9kc*j)*)C8@1qy16KW>u$G6)d}T zuHVVS$4j}rq`s7c&|og04%0q>f%ibG3drrPt(cw~jd$O?m6pWusp*)WpUtI{DxfNZ zw39odZ)y?%Mt$oCtHr}QA83#^P3A-@7k+o9xE44Wq;4X!^aW?X3r@$O-40Cj+1ge- zdgg9K00w|h&Wt9yUa3QQaw{h!m}f0;E|1Y6?`gpnxN@$dHnTV$L(}y*AL+zq?@p{= z?8eUJN$kTo522r9gs>piSMjm>p ztSZuBa_Br)F_6o1u0_~Brd8d^Fj|Rzgp&KgN1w(H-*w10{Vsbi;V*#V5hqohCRnp` zjk_m2N`$*#X$1t*$Ij|fw6`}Ig{YwP_i()t&016LM%k%Pqs&8o zgNP6W7(<^l=t!Yglws+C$WiOOin(={N>Ud*q~+Ild_VbI5r+BaIrX2GI+U81BdKQ^ zf)Mjxc$aB&JHZ7s0D~+dt7Mht&X~`Y2kioqc}BmhNbpYjGMgQXNKo03bmX~N2A(Pc zzdT?%Msh!!76z`a;py*dkCVR!%LPdvT0nrj;|53ZhG! z#0ZTklIc1>Ab9d|0!|ZFuuR zMx?b$HkbA{N;QS1l)FBhK#?<(@mmJ1fx5`~jiS61A`__U=3zgutkv^{R!f?m3%*Um z{1_8c_!Yioy=7kc6Q9=m?6+X0mP-Zdv+A?(JZsJGBS2NQRX!Xs-fy3jCAJO@lV%)I z)+NwH{iaq;-E!P4V9Zg-v9VkTUOs5b_V=8b-;Mf0zldc7<)j-Ooi;jxRz;tC`M2@- zr6>shvQS#=D+JdZd;0WoF50ez?B=!G#5=IMfjB*JKj*!8wz8JP2ZA(#^ z!I*pPM!fpHcjA@r0vhjJi`sBAE+8c2Z#usA3N!(xcG$U@`S`{=--zG;_V?oTSMDYe zKYaWke)7wo#`~Xq5KmT@Vgn|yPX(o6nerx3ORYta3E;dWJsX;PHCjgEwf1d#HKuBp z0w0hV$O`ubnFw_R_K8l$PKHVWDB~;)SY}#?`lU*)ev=26aB-NvEPo_1O6>WWye}{n zSf+m(ja8+SzLwd8znFHuW~1`FMDH)r?vL;UW&yf`x( zH)j_(&gI_VQ==0x)NG|zWUibnwR_x-rJeQo4US5v@v_2PI zUx#iVKV6Pf(J(af?BRoO59)7z{nfZOGm`K10=)JPPUHCWJe(=)wswbm2jMJxt#B8o z?bwF)I_>Sa_wjr27ytGzGd9QpYkNiu(03R#)Qi<;Z;1t}6WO%0VV}WF4MdA_ope&U41Sh}yk~#okags+;~Gl)GRlCU z)8R-B7W!PfP4C-p+>LjLw_WMNiGR{Opvsx&wvByI-?tqnAVP2Yz*PXVfXfog1dJ~5 zboiWWPW(892bq_v54J<8U+c28i|4jOk!3j-fC^T5(ORe#O@3vY+McdKDi1ZS{+hDa zwz8kw_O@mD?Xpkl%8~7C%Cs$M&UjKl7wa@%`s%ajcXmpEDL{VIA2QZ8szL@*SSH zo;Wux`K?x&Vm(BeCoi_Qa{~06)Rjt~%6(|TdQ2-j&t)VzX;}l3qc@IRnwNA>A+w&l z45I65rz;LI0i(xm^xR3)FGpRhGLlD){*Jc29EHN7k1D$KWECAH`m*qqhtYrVul`^0 z;In(trqd`G9BOtamX<^3+}DAZe1-cnyGUu@All;;_Xd07xEIjYPXj<)azuR(ZAk%^ zvnzFw9UC2wYx9fo>h0I!_Vt^jH-P5984n*li2D!k#mcIa0(KBEZ8~WiAaEQ5e9x`- zTvt=(WQ7|FsmN3d^RQ7*)fVg!RJIhVAEQId5`@hzvnhEh#3!J3D1D$`A5V$A0M^Q3 zyL3h^N2G(0D69FGFKcZ%2ABv|{Z5*`A%N0pUohUPodlT*f4@O&6Qe{L&WCM@*e>%Ew3|wbInhL&8u&IJ*H+B zN&&ARJX?Ai|HD83zo(WbV9`>u1NfHtJM?Y4Z*T3y-B)hLNPll^tv!q0Ml){Sz7BH( zd~EH}c`wpWcyekaw_rVn*0%vzwuelh)pQ{EG(pecpu6>4#6AM$+WdHY|M%XA$q8o^ zJByHxeRiJpzOb+mhvdV(z4Z^(7u1=*wviUmWLh+}AkPQX(VQBL^C6z?KZ-rzrIyV0CG|~N`J^_i6b>>l(^cV8@a6D1j9NxZZ=nkgq=xM> z9E0^1fQEK$jB*VH@RWYCivZk2X*`6{!3fW&htA~dE&aGS%~smZtnhDBr#!{hRL4G?AZ5&f~tTA3(6 zS+C|q`Yr%WUYkIJyjX@ZE1336pn!~U<}mb~qZaz`^1J{@w;zX2zx8+iK7Cc7b#>uq z_kR$Zd#l-ow!dv)9Xi=o0iVOSl$Q#i3@52<&}3O}`cWnws%Fv`T|3pCn@mFR<4O?D z@Rm19p949QU9beGK|Twx9gT_$Xb67gaB^;63t!3&CTd1k8!=z}PkPd}E^9~drL?L; zPn~n*Zs$nKBb%g~^$V?OXyBj9M3JwKEFrI{Yv1j!6*@ctap{LDt!tT0n&{G*L7J@k zMD_*lr9q1Hd_M(t-u9e&=}Cx|lOv~^3sFBCkKRj1mCF1Q`Iic|v%rrWl_9?x@N(F{ z`%U|AmJb@qZxc28XvDBAwuM%7CsF34VQ5!?N~PyFlmk8Dn3MOFTH-r#W8p>$p$7oW zpS}0f_~7IBI#N?J#?I;JlJ z&o!(x8Yzc|e8)EBchR^N-V&|Ai%24swqF`sjYxv)b};Fd3?y*ipF~>xn7jca%h3P0P5keHC znzPmSsJqR*omk)9if#Sb+WQ#~Q4R!%Wr2A=On%9nQNKf%XcbIFQFJTfc zBO!c#F@&B;TzOE44%X#*`u~+SQ9vv$ttNxF4Q2j^c4FFKVq{$L7&Ykdl~=FF+%!Oo zwst}E*I!-aiC#MIQEHr2dupAodFJW~(!$7)K19cS=OV`4-y5K%7T>5tn>~Q{V#bIn-90N2FhCJ(T961XS+VrRuQ0sm#Vzm!I=`3=$ znRJ3(uBJc~1T^b|x$I7>Nvsbe9{S_t;57DE_v2u7H%_(z2z!7`z}?9nAOV^=I|Sm= z4^Lp`2{gw5tbomahs_66&Ri@B3Wwf$peZ+cK>v*%L1qF?s8KrS90CSlQnx&p{z&o` zqCo86xD!uSH)C_B__#Vu=XQOYo9)S z^e{es|ARO@IEaz4k))fe3<9E|))0MlA{J(5;@Zq~EY8iu^@X{(4exyA#*J7+IZ?rL zI90IyWOWVYO@FTRc+FK6rpCr&c48`;{fz?Rq3w+Fndc!pbN0oY=?xKEHwonU?Qj`Q zk+iK4Enux!riw*eIx0La0U>Qi1CoNhz4ZCygMf|a6Nh*%k33uAi*!nU5Vx^@Uv>h#Q_bM$-ZkDmJy;mY~@DPO{I>#t$wHP01#pLKvObic( zi)PD{T(!a(!CE%UFgcO5U8+V!O6BO3v=fMG)#SdL5IF4qy9nJ{e9y5x=|X-cM@b4>$SfH*tV(dU0L02Kb4qsfS-PvsT3K? z=Q5%22n}{^mjS>w?Hy5JcfR zvr9OmV=&HZ*K-2TB*0|W-G1Dap{dxhd95J9fWvDPcz84x=dZ_Gue}{#fAj0{%FS2P zy1BZt5+8o_Ui|WdpT}qSK8}^O<=ENVreiv}MPPLvO@!Gn&ki9>2aaJFfPp;(qFRd$ z^PC0}@z6+)(L+48)d1gbqBZHH%bj%2O)}x7qV*Tb@c%NrgOEcY+L-CjMC0cI(i}^N zgIGD1S#iZ$Ktg%VAo4HfZGP}yrtEk4X|&HJqve{+&oqq&HI>x7%F7wcAMf$(2@J{p z=+Ztq2OG6q+H>vhrx4q*7Dp|t5+ld7uu8DJXeaagYJujdq)cA&USak!N@qlm)272s zXHO3x(A9jn$ukNTtrH2%?b_sB3)?Be$F&?~@K+fGHsf`U7pK|Ts=9PZ9GB;kc{+36 zg}zQ*I`S}ptKT6J1QO}jhwa$Z<@r$@>~6=zA!{%SY);P10r| zYk!sgeNMV_(ue%XzUA79y3DlnhXq`G1latGKl`)Xh3KloJm7MA+{sq}VDfSdpv*N_ z2U{^WI~UUcP=$+IB%T6%^x3?7{bszfa4i<5CIK?z(A6*ki@r`>7v&Z@qs*2yd4_$N zqnw5sPu^zzq~PV;U^BqVph<@tp&6}e^xMLZRJaQdv~SA`6mZ$kX~PuKnU2vfC*#sHWr(~0%wpjrH(Ilx17`{gFm>C~7~?2N zR>&2HYUXwV8*7lGaw6rEzqy|?wzJIzTTb#R?UL=yePtsZJlnV!Oq8|$ur0J^DqjR( ze$OH7V%hXL(?P`31|;Qu_<%H;DL@w$;FQ({aOO6njb(ralP*&}>B=Sk@LrczrD?Nb zKDg&rseBzpwR}%HOFSS=`kv)AT|%L+muNn}?Du%gKlAS;1FswK88^`x zkGbi|-0^N^Tue4X9Om5PNba1KM-*<5xYC<@5gh#X8i6Lli2w^wc9FDoE`FP{@ z>+zj;z8mkp@r{_7oXMfX&p!Jke)--n;*-xlil@s@VjH1$(B4PuL&(wbWIhcVWsvV( z?jFSMqor8-=w7Tocp3+Qfs?Zy1g*?bLZA!4p%Q425B~~5JL{`Anlw-@I7^!4USVLV zt?+)KE&k(u8`+rFO&EwoR$VK@fiHlX09KB8iT0e^Wm3J)@OFZU_bUKe0Hg#Bxsp%w zEF&yL%y%=rd?ep1pfg`AgiSIIe@>2!p>+(W2I+N&uwBj$s?Y%9!^e=sDIb0 zgNag4f=qn{Ppl)$bA>@I?v0xW^HD91g{c`FMwfBr5E%J;y1JUy&3e5R{gm&?gU8Sz z44%$^)ZU3&XD^Pnm*VlGM+sWA^f)tgckclD)Q1(C<~@>%8`tOK?kfxN+U;v;aoSkl zi68#p$8m6hRyl&^I9y8$r*0Ov?%a%VG}l}|6HuWwS>Hj21}Ow_u$6)M=ai=nmoz99mBMu z&7><{z)YdRGSd|LhF%ZQ-jg0tg6a+{a};n&oAV3vv~?rfOn*DAMMXh&XqSFP9wFTX zzOH+E|Fh4MKCUuc&`%E1M|U?ZT+&vfg=saTkt zKtUJ?cM03r+mCH{?!KcN)Sa9{{v!X9Iy+RlAF%@TdV(HyfK?ZrAz|s0uNlG5X z^@j*y6&JiZl;)->j_kCQ3!!w-tQr#7xYi z0?b3LQSDSXoQ1BE(E?0NPfy3SYu93aejfU*TI=cpY%m3ob)KKkELe-Ss~}5Ri=sjk zDr?F@=w3zc@PeXHd8t)U+K{%af0{38N_z8L>zqMwCzwn?N*yRyq&e%}JSb+}LC1E^ zHa0_kgp3x8DtSwKEUlew4RcPKH=|r5mCTDYXWE65xR%OM36h|Sy6bzMo$Geu)nbV^ ze`GyLt3;X zQ03@QMgXoLH#dR-&sD}nClTjH97cp`4!etODq{JPkXigHp)oiTqm#2SGBFdAa|0cyd1BJ-57rsfU-c=Xx{&sIJZ z5{LJah+%?BjZz{<8IhJMC!DyBpTaeFU&uyDv7136(F&T)d9Z%L*hX0*b>eT|^*t?r zg;y4US<-akk9|tslh4DKp2Jw5@f);l=IeRlJWu|LWy<%wqY&1rXm7Pi9L6V)SvD=! z1*Dc|JvVvzB+q17^A@4|4BzvUrkg8}c-iOpoTG92mtSgyv)Z^%Ny2@lT?Im*HwxHv z{y_3<-ZiUoZ`rMa-aI;S&>_gF355CRFao%SB6J?^uyTZ=rYno>X>x@4|Sf+zq$tAVCs?10$X1V9Ewcp9nHQUT^@{H z>$~RS?ZjLaf#~AyDpzi#vA2H+Z$;5U$=Y!<4=d+Of)wzT!a!q)w+3i$gxAn00$_-a zRwkWTooNOaWVQe(+^-|>YDY(Ly0RQwpMM-npMHoC{`2_rzxYA?^1YwL($eE-ACX!2 zE`bmyX=7;_ncamPt3Qmu{12X!)EynMXAiiI#L7ZgIGe^UgU(glUaC2uf>?K4JR^=i>te3XMz3q+I}~E(E#1YDRO@C1%bl0a3Ie@7d7=zobux$M+$d9rl2Zdk*6|-`N(^CNaK>YMC ze-iiaFQrRCYpfnOUR{hPKy6}fGR}_nVr}V3y!Fk778FB^YrWp0N5L&vm-IS0GJ;aFuS-I zB0#AE^SXff^>j|6mp;;Cv>zFvVL@GSL2;rFeF`5f_5|&WTwHRC$^f zom8q*NGUzFQYrN0q8?G0jq*O)Rlb(n`Q>{8Q`40{DqMJ;_Vs!ZoR0i>&)@RHE)Nyl z<$Kbqe5T^fG9c2GuaUo8S5W=|Gogv;HwxkMsF*>Y$y1aPfoLjQyjOU=$@pL4;Td_y zny9cv_mKU@iHpYex>BH8VSl!f`XM126@f z6~I(@7XfaruRfg709I*QkEJEskG|ySbTO1@eJr%3-{ru7)I(eIj{4>CDKbF!HDyZn zPudGU;Cu2c5qwU%;Vs)!+@OV0LuU@j3jle{>uLq=;v+BCEl!JbCC^LS@(2Bq(L5S+ z#Tc&{1h+hw%QIP&{HpRvfF}K$Z;#^%<}7vtvk7mr)pvDH03|GoXi>;87)(Tih= z+x&J3$1e-r7WFQRjfA%OIy#Hx@`oZV%^yyj-bLy9= z@Q`>~bZ}>3Sy1<NNvWNw2SY2maDB!N0{10bdFk#Hb3eS^wSdg(kbVquhS z?tj*CxXYn*nE?3%d}^kz2rr49G;-z~og#M^;J4bBUoYBr5qQ;iWVT+*Q_hR8O1Wm! zl;=xl^?A#cGt|rz-#j8eTkV5*w7D7|uRM-VR-eW_XO*{iHQY$i*RDR7Ba z$r$3tjGF0W!eH~JlZ6?o|uVE$zI@lg>J(dlEbFQ;gm$`;3?ghsN5`Pi)%f9`|1zGf@5j={UVQk`gZSaU z`HNWD*o_`Q((rUECg!JNdT~A$uFuDCs~!^*!*T1?8!>ks05Lxj^^x8<>OYR%p3~Ta zruJ$3HZg&w3|pE^S|~>uV9ppN?-_-&Y)2!Fna5~0QZqx zwZLsllRikxFK9W>4KfB@8mSd-Vd>DL>*NXwCs76*MY8YfPb{w~<&(!!FT4+gre1n- zZ)vxo)hgw-gbt4zU7+itu@HRXK)pzUq?PQa=4I@)L~^yORfx@yR_ ze3$fWSMPExmQCexX=h_)2r^W^3(xeea?P~uD~=LrAc2*@Q+R@QtK?bUmf17rpzZci)wIP(2i*%uJSG&!f%~;!9kL8WkSc31m#;!}Etvd0H z{x1jZhsIja+n6hC5LJ$xpqrLgmH7R}TiHOm&1u14&zv$OVSSQtwGz%W`LpmU%Rg9yLI$#K-E;6Xaz zAllO)z;qBot08>a>zncH4FMsN`b5CfH!z5G*OkbDHO@Qe727;&) zE*Vmo!JG4$&2}T*;bOM`pCcR zd|BSY;Oy8k1}z~uyM1^hXQ1a6gJ?@y$gIyo+|&c_IV6?C=j2OEgZI>4?WoyV`F)i^ z=H*aus9-00HdQ;I_A&+5T41qve#Y zasp7-lBobFAhSQMv(8c;?jHS)=?b8*#X?mCG18gWp-^ zt4|)q(|e!A?)G}rhx=o64kkA{5+mcSTxV7Aovv8YCkjWLAM^Vp`gO8TpdmeVkK`Gt zLr0_UbezP8Mvi20Ns;r~NF2r>G&_*%X|Aqqq&9y2=B-#GPioy-ly#Wb2dUnWo_fPI zP~8Qn30M>)9#O1_2S1ljHgRRR`-qfcfO! zC-LBu_v7*BpT_RSdh$p&#Lxx6C3haLtj33r9>)@jfU{E<=VoJmav~==UBYAC-q0Z~ zCxsOrQ#!i*gPO{|Y)=qAr;Iw3+b2ST}4(U#9^v7}D9C(UV6GGDwwEP|bHYVo3M^4OfP$U9D0bPx9| zEzfEw5EvF?f$7MXh#EXhlRwLyY2>;56R-*3bh40>gvt^|WP)!bKcug@oSbw%ibCT= z3zyFll+Mo52J;Kh&U7jTt_NMO>&xy0O?W@;BzSZQKxx&{9dx=_S>K7z??1|g`^}#d z)}+Tmx6~6kcmXh7rNz}29A&ViS0A(}Cb;s?dNpSKc~_97(V?Guw@+$dD)b^x@F?)f zHb>Svk?8rK?Eqg$_{u#lB_WhiJ0}$iwDU_@e<}}E9a&$M{4x03wl|SnYL7gWQ8|IB z)=|G9FLG%^t*U+_AJ6|}2PS2iR0^P` z_}F-iN_)s?>qt6R;ZC4=PK(rP?>@8kH{zx_$P_tW>|+2iH( z#nehO1mMxpRl;&_Pj_E%-_Ct1ZEIsK&QFhGLO+{2S}A!rbP@v<@O<61WI_;*OCZtI zG9KGqtB;H-{VXBWE=4>i7(;cQpi;2O(cz)gqG()wAZ%!fGrvY21>%BEF6BK>s$qvJ z%_^F<$1eo(3%M48&G^OprfG+w3&k<{aj{nG+g_A^o>s4L%x>X-yyMXsj)KqxqFVa^ zQVD=9hXlhrT1s5#c$lcqW(&sYFuH4=7VD6Y*`bUwrNZD7d}JUI^PRDK>578j+NGb| z(L+9TdV-=t4HX|#cjaj(*wioOlg~bnbrcl%i7VU3IvS;x@8t9PHPcITWLPL(zW_akhROJ#L|W#QVF{!Nz`^Ztcf8fCXYs zYvj@1PVAvs@2s!Wrl&D7GZa&|rekz|G+M(d8z>^sO1fFmXL=FTedM<{BLV~=0wHvL zGs(Qn+5Y8lPY(55BW3=_-9Hw;ZP!$M;zoRYoCHr0qInNQ?wwpk79VOPFzg)FDk$&Mi!QZ-dBkx^h zxcAZf@#ynUVsjPXfnwAeRDet)NQRStu5N6`#}6LHd-op10d=#0QgY||LX3};-N77I z-vMO02>cmzp~B%J(Qsx`@A3g9DIt3)^puJ$?Pfit;N+Osc*ee4teGY9fA(cLkv!hD z67`?--2_G{xJjAwqI{cHx9|IrZj@K%a5_I_K?1_$gWX3e-jMhB-@p9va;Pqu1}~{6 z3pVY`nS|frO!=R@ntZ0OC)fSUd->`^nNuTC0||R;{juyGJQY zs1Eut-%6RPVMdTyOP7j4<3LX|QbE1?@PcN#HP~%mkG8ckQ6*SFYVeqVpJReZYTorK z1&*mW&?c7GHujBvc(XQSsnqh(HHpx2)_;*lT30ADDIuIP=Lpzg>(^mg_~7ApNtB^4UCggH`qX zw@3R@qLIWL=VuqOwY34T+f6={?~zmvqf5$F=V{O|!Xq;##;JaLUM%m=qr9E(d2a1~ zStuOos{{!Kg0N#69FBBdGM%1tX_-?k9X5yyeQV{UvGfhoDYns~L%BUuGg=76LDFhL z6a!ib_xGdIcGsI)w3>iNI_<>xL=IIbJX}Ox3#zkE-KGt>7Y9yUSYL^=-SrsiJ&A>p zff#MT2x#mCf;60+LqboV5S{4t8REKxs|8O6RThTU1aI-Qf+i(rkPx)k7H8uEI3?tC zj_2I>D*`M;<39*T@I~}o4Y~Mt5PgPgf@hzv-uIr2&M(XC%KDsYEj*o_%e->Qw23yb z)>S(~S{>w~geuJx9$YhKUi^mN>i*W++h42m9fz4y-{NIOfou5HQ3{&rpXpLj4xdZ# zZZ~MXnODA$9oQ@hc(rV%V?X&Sc`5|?TnJrJFnemwu2JW(_waCoy!S*CrKq?#6isk> zc{Seq@T1t(l>?ee8bcej25#KE9oxJ6vAKT|v-69oLB9Xq=kag4SlK3#RVI6Fs?8;eON zT6S0Tc(Ae(KmX*D`02-=#QP8K$MW_z^)VXnzJ52}xN|!}OfUVl2PFbV8nrr#JIYKG zC0=F3{#Vt3`<7UE zD<^sULQL*Z_>j*Ux|}Uzk~8_pT+trM_vDYfO9I{{n9pQcT$3xw1LZ&7@iCvXPjvaN zfiwi;`typleXjgZp}%eQ<_z-R>suidiGbvIr6v|1lC z1#s4zB_<#j`vC){sWrM**ZS8Ju5UPtlIlhgPC!(A3Nl^UqhC-7xYTdE)diS!K$^;( zAhcVMD-V9wx|OH;%eF229Gaobsie?ADsa}lFZit1MlH~`s}r)0U7iqtB^}ycwz1FI z=G~SfaNz=efSh(xki*#W4nHm4D0L<1s_4ZwDl}vsib1HzKxw$_#m@UC%kNw=>jK{2 zr30_=D|wZM0hfz2aG5BLkQZrOi>JT487=f(=uA0HHSm3Dkn22@QC{V5@+GYqGN-)b zh#Of=AZY(fw*Wx4#t>z!vbI4vHS!FjgzCaJi1OWpcQq1t%KOU%Ddm3xO=$Au7z_nZ z%esIj1&Csr0tQPI6TOHPc>E35Nym{D72lVy=e1vpeg{m%cfTyyqrO_8lvzO(TJx@T zDKIM5I~zs;0LXma5ldrs5OkN9O&9?k8;0pVw4-#u5d^sl8-M-nx8nD|_04$Wl{+yz zIhB^RGdlDdpkRG@)ctw) z+(}AF^wh^0p!&!yu(tOA>U+^fV7og`hk8Co@OB{BbHGtA&(_K7a39*bRul4^bx71F zOUuBC+753AEHeNA|MW>jK~&{-@(VeLGlWw|=0TQ=AhQmu{9j!#k3+3yOiTi{CP(7} zfhl9O1F8ic9i7JJ=1%PF9S~8DXeIhS&merXjzg>0uHVQtF@N;q_v7PF9_Bv*-iN*~UZ7THKk_BCNmGMK0vLy>l3!eDZ$$>wo?) z`Sx1ed-`eITl*|F&bDKx_bhg(v_mrB7Mi{zcqqaj04EI@X>VGdwy(o%8W70(rhh&HVEz<<`Bxu*6pz=|(&yRX{rTz1_{Q6>$M1dX-I$r4f*yDYg}silK0sSH z0nj5uBRTS*mBZ~-a}q@g)GpA3e$w(lJJ=89V+9~qe5HW7$}*M1gPf<5K#MsOq<{hW zqWn!kRsjsJSARY$*aC1sr$rexA70~K?t94*rZQ>6^!V-fea@#7sQ4}*7oM0q8&&+x z{P8>e206`{>G_4OGTtq70R{P}H)RCysuv(3FZ&-47a-Ef<+C(s3{amwVOr#ZZ;>{1 z)&l@NgXWH$CjehO)YS_)R9646x|C}L93vBFMDHHD<;6Q;lAO5P{6X*dO^>Lel*=OTxF0(QvOk2e!j@JJS+G46OU*6>P|u1 zW%=_y|5HX;Li^NJ6L?DcqHfdg-1_6bASQtdw;ZiIp`K52*xF%mlxeOF^k2a9NK>W9 zR@XSfUyfFG8@0-70^SV%miG8A*K>wBe4QrYI?ohB2&$NRF4ufL)5&tmZ+Tlf_t=fu zhrCbT4QWO1rkUTbzT2%U-|^b>$nSpo>N)k{qU-W^xB6|n8{&x*)(TyvRg>sQOjGbl zv`>^#A{6(uQaY&!43antSxlV@KApg(lCBbM6x0?#$TMGv(xCjI(CUk*ytMDV94*(2 zlDr%e@Rx=t7k*3l%3w1yP5~9_I^gSjV$7Xn_^27xR4XI5Am+|SaSN)`Q+{0NU*_ug z0|-dor?o}$g3pE7sd)9)V%%7qp>jJ2kzIt1{+egeqBBk)`KDXFF+Wm^8&iXEeP$HR z6v2bwI5_J;kX^(M!p+GBZQ>aWNZPU@ibbPKtkNZwT7#*m(E_ESKY=KWCi4uTP>w|F zNnBRAS^!{70O0THT9?^mqd?GwzC0G$Le#k(wp`AJ}_rbF3{GF`JPQ7RlVk_Q=!_pUOeup{ob4`O?N2WEEyxEQ1j zsDA|zbz%p!Ey!N%qZJ;bL|odrDc|AFF7$t;B-|4`OTpkU($0q7_3U zt@!r$-i__O-S}_+#UIE2@&EMS$N%kL{vdw-$)o6879TC^;G186J;tF+eOPUmCiLk{ z_2bTF{PN?U$HQ$DsFQ;@fKeZsA2sWYfI<5gu}nUb4k(Ya&56YdZ7fQQTCy%1`cAoh zo4WxGw?=5U5x&`ys^gMAr=lT~I;XAe5UxjQ$KT)FjFpEEa#sAw<#7yO8;gk><1sqz zx@*1ZgV~2*MoXc;oYGG^qc5#RDR+S&0FYjh~j3z@c{roQH&&%6Q*Dp)+ zq)3`Z=+_IpBj7oLhTOGE7X`WtX(-Fe2$>d5{bJ>3E<5HItP9<*v@9JS?xVEqr;s=5 z?v<`w@JJ`?HF87`g@6xgHM&HO^aIdq0Q5%9kuMDhMVTi<2?P#ON!?91pBE*(x=`rD zilD5tpGJlvQ)p{IU8)KxNZqo!Siq%~1bjqk!TLIe|G-XD$#Y0MSuU*8!jUP|{XeM@dJtC+A)(@{w<6J=r$WaFI)Cb+*mCmGn`bF|VbJ+&A)P z*}R)FHc7SQsl-B0C9PtyO>1pQF7r_W*PySwD2@A0w=R8Vz|n~dI~!kw-z$q89d^R0 z%60KM?S}4mmFMz9M~?N!tlSA*gZvyCl6UIAUfdfmNz=XcT{WSL!T7FN&8QszO|fie zZER$8ZccF@X@=`|X5>8A;{+2_u{o$8e~b3Dy?%R;y1!De6InSHK8J}ZNY4C3p!O2= z-_-JzKtxc&GYL?M4yhlashxB*U|TV&6%Y$)U4ZbNcsJA5Po z9O{po8 zkn!|#tyjTK$46Wz$P{dP&BldplXxp8o5at#pwijbm3A&cJ3Lq|JMe-jCx!6Ocav-R z^)A>f#8<9(E`gTw9Ja|QpWTJ;OGrn6Mg3P@_cNdI`6^O3K5s17JXU$p zvAWFG&7ldh;dXbL@F&N{sQ=lRLgRNaSSMCU#J=O(Rhp%4O1*fVU5)ESP$4Mz$>%K6 zl?GiR9yx5ixgH0{hjaqKGo3;~EECh>?*7=)@Ye2bJX>AQWuZWtF+4n&v!yq;c4H7g zGSCMjIBLi8DxhqAFCIQ!kLFM_)42C=H6A`&&+Y0SK7JaHR(6Ud1Uerd8;ZrbG1BOb zTh~Y8JKwz%y^a2;Pu1gDdn?vqDtpw`5xF{506_=oiwO;7ly+=4DzDIn)^IzsG%AC2 zD4n+JgHZr78@Ya_les2hcyKI%X74%WZPVxW(3<4ahr(VWNFgzXF|aeDj^SabqzK_V-fjKRsz@ zKBXY#&LtmkmoP0~(qk{Q>Lel8M05g?wB}ZC?ss0+m(%~PPTSW>=OP-tXYutn=HmLo zDA%EV2v)yu!NgSul@J#WU!0!jr=P8l=k9%{`U&>Q_^uVS4Qu^Q(W>W`)@v90Xyl? zbUd1tKE#4RW8v?dCcO$stm~u?BYzbz z3C~&=K3mf00uM`){mAe8mE@Lu+qBI`0lntw`1}O<(WZYN<*q(1#_q6TF(U9C>Q)O< zZYly#NFJZ{Rr09eL5os?PM-C?@p*j{Rb~VV#Rn9Du9d34p0nF0P=ws$zQ}}tpLgPr z{@~WEs~cOfy1tP|m!0wcl?U_XAGA_|!z>%;72cC>a@M$(M|cEJB<*DVb2o=y0nW-7 zieA#-n&4V&;XK5^HgZq=cNOARe49^BujjQm>(}Zj{lyQ-FC`bFEvJ?S+99sp0id2$XP$sT^SuH ze+f4Go6rS)Nc;r7^pHO%qiGCKk#;$w(uYWke~wn_ckV_Odm2yL#ck1%i{ypKZzrTV zJ6&T)9e!s$N|WYBw<1AdF5a$dM=s*-c>#&J>P7c@`OULld+FTujmvqJPWAi6xyGC? z3nGZG6lCI7nha3qQ$eK7;^z8&6g(ZNi9RPoDjMTS0?k~~0t!0m^u+NQq}o$v(h3AS z$L%;lJG`KC_d~pMGvo2@o3F(0f8)(~>&~^fIX4lr6C)hE1QCy-Iv2_(&5 z4ZdHR%Y2-j03?nC5fCW#>#*ZFg8TyFv_qT63UFG!B8*BjEs4XeuAF7=I&!WRH#;>I z3$ybv<&r8bgm$x$T2E>%S*D^$I0HQyg`N4Ox+;P6Enw!geCsNMb>}cNn1?cIQSOal zI)&CC8Q1RKes_rBB*D**fA-59zSJF{;c_^QS`N96O-#nZ{Akj!JKOx?!>7>KK|Ebr ziy;7Ku4X{`eot%2FFyD<_Mkb~Rx-((x2EIkU!RZv{2#p=?|%12oYv4ddB;K9W2#JT zUoo$8mdsKHsL)RaRoYrBWyO*FZvg@ozL#+qMe{q~{(4MKj3#K3K}c)L071$aijb3|Y{v%R zd1wgDT4_d|d2jC8HQK(GRwebT zO0e2es{4Wk>$|d6de7&D8G<;E$&;wN6uP7&yOOu59LZx6X!(rvz_HM>$}fsSzFYVi zKeBy_8_6PBbU9?2)4|Hr{^S3Htv`aV_im#6tm3i@u5`PqFv|NG)~^G(c| z=x!r>?7FT;`J_sWe!a>DdHXRk=}cEC%3vEb;gh;KI27)0d5TM;ISXBZ@B0SpMJts` zlc3akFZr=wD?@$X$!wQh3+7&|!HbslU0w%ZZtnst+_qAnTUp7jHrPhF*FCgS=%#yv z>(yy5a=HdzGvsI%r}9|qSp!tk4c7}rN*@Ammz9E#*{^w4mFVIeo|$r*)U6;w0ZZ~% zBsO(re}9n&l_l#^y7s+7+q5hRcmbM|?)bjXq$1LNo`3nQY1ohat#5yw{{}RgWxpY0 zI<{MhSt!0E-MJRH>x!Dji{Nk5m*12T!2AaF*8>mr+;2H~vxbc5=SLGd7y&DdG@&Wp zyFjL&!PAuG%J);w+eauu2fOgHy#$($cIY~1-ld`beq=NXj9U<=FF$1{6V8euNo%D` zcr~G0mwS_bOZ?UID*ozkm;d_W?-$qY59M6T{Fj9+TW*ZyYc?ht$6?OdVIFD9_w^U_l7d9vHMUZ7UK1kscswKqEs#9k4rF_|hc{Uf_W=|yt_aN04f3+Xe7jKI;(wKodr()o*NgG^WPKiIZsDW9ibMMbqK)G6PfR7DW{GLf%~C^OQPB z-$H&@OeO^h#Y&-L8S-ma9bg794y{@aIZlm?rj;^xVc@sU{nmps>jk5qeEu*tcJ`^{ z3!X9ao$S!NB{g>^3~1?D+1!cc?SrTTAkHAJ z=GZ{od}AV}Z;r)9qd)ekq{Gg|^VI{gPjH@-JCdfLyHt260!%|UlUyr_bE9jw>hI%{ zMjo33gE2HX7GpybwAXkUHb;r-abbny(>U7)Xl|nk@9gj)nbTS9?;_A1-jDT_CviT| ziJ|%77+V~Tp|QRg>OX;Y4r1WE9sPjJ2K6z}E65bYSgmHvm{lc_rc$Fb|9RBue`xG| zWASwTIR2-9_p|uZAO9lmKV6Lt>TUO+4UP2X(9SEbyb%ZcC`#lpmm7m%+?nG3z5DUe z2Oq`Z!9faWeMx6#rsDRk+i2!Rh+l%x?VI{pK3!UY0Uyym@|nIk;=P^C4eGRmasY@P z8H*`+#*M{=n1r^Uu588*ifF)ZYV~GZyRjJG{Ps8FjW_OQ+E*D0z(m182`Cdy;Ca+B zWQHP+g3dLSbVrZUlA)#d`R{gKYq#AQ>4>HU)Bu)xP~i33b-acaD!ij`oO1rWPa5Sd zQlZx+53V5(eOiH_Kvh^LP_&&n=Ci)5@TCn>0P{ko!!rfwa?J$u3x3D<^u^N>BVqb} z-Y)zP`ql?ipE@m;>9bCv>d3iXufK^ZH3r`?<|Gk?8|MjDi7Ha^)ht8?^H^faDU!(F z-r<;Y37~V=40Qs=#Mo%KwVz92xjRs=N)~*iAKBmv54vMGnMk3n5SJe--{dnc&y~Kj z$>Xi>Qh$PY!GTN2>;V>3BD7v^?P|T;h^5u_c($@0%j+AlNndqmmfROzOE&p4ebaua zP*)hT!YobqcmB+r6h5VFD{@g612r%lay9#9JI40nreYBO%mP z<&xnCv;3XAg9=B|Hla{kW--5!AQc|n>}|vZ zGIxAeMV;mLNNYz>W@)okkNko!=pIhf^FnN$U>v z;EqS$O9D`nm$*nHXOqhiB~H>Xt)ev*!1$|C;w&A*ch%&`2l0g^Ge1Z09$FF1@7nBK zeCMrq<3IVQ36n53ZFl|AA6mH zxEPGs?}fexdSe&nv`hWyn|YE<&p)lgDnc^oqQs=72*#T}nY0evX0)L0+2l~s_m1%WGP`Fb|YiK0;P+Fg? z?8INa|13UvO1;zu*4+RJOS4N;nNq^UzR zz;a+;(x=?L^HQ|YwMub6tu)1QS%wMCrL)PYqCBxnb6vh@s$Ow4s#;LKSW-*53O_YnQ!GLH@JbRgQSgxb8s*C}Iillk zOuAwyKuyEty#^81!-Mp*p;iJ=ebxj)hD_Zu@Y`L*w9Gs6d{nSHtlN=(n(isB5T<-K zhWVpk$ihomJoCkoK8Y-jnh^_f;}H<}iK!K{?7*iYl#Y&;_2A@AGW2 z@JfI3NUo-g=05pK0}#=aY}53|^(ZIGRJ^29jYy@OUbl?q z*S~zp$hR}cSwEJAXudgDp;8HSc792xM7mVoSEitzfN%P{GtFCxcLpfa5WsF`Vj>pj zXX56K`CRVI9jZtS84Z1aJuI8Fq^!=_;mGc?wWMoa9v47r2jW}V&-^aO%2(5)Mwb%# zO>{K+i_vS)E&0kl(2XzM^ZKtv@JLq7mjwInR|=((im*&eUlN{R#KtXJM*7B4=p!o0 z#wb3WC8JtGU8WC;+?nNidS#l zN>Jod0K=_j#%6;KU#C)GL^g&CmAd8A{y{s3rtBbw^rxWME)$}~uaCS6G+hSCZ^~>8 zsSS0B#b`Maa1x!oQ7wCv!|F0rD7RQcAwr)w@B9|fae*%?F!_cc(tH^GRuV;0;}?SW zO6)dK$ri!%05A~s;{@n1469UI`dO@H^G)ZxLV-Kq@ZGfg{r!9~*`#Or_SRz^OL?rgz3;{`Od04#L#kp+5TnG*T%q&xuiM(6Of>Cn$#&hk~c{} z8qnWUO&a`0ngu*i8`0OAkKWc?tnYQ=fBchw7ysWs`*D2u$>;Rdf%Nyy8O+ej;UNMQ zkaXkb4M>mvL>h;Cu5q}-XU=0B(7(Um&fSAP`}|%!e*84~iNfeeHxbIwftDO9lIO@Y z-Lg^(XGiABcU(dyx1FVKr$%X?xvA9X`>3-!ue=shC|;jD+=-7Lti;Y9?~x8o_d5wr z3bL;pllNm4SowxjU|*-+tCb{9p-m_x>sz0#o!xD~$qwb-PbE=0R^T{fTgoE`EB)3s zEbS*BBc|e8fItd+&v`b5rR~kL0?phZC_$v)hXyy22cck5Liouwa#_+XIV3%PlLs1{ z>s`Ld9SJJd>yoHcP)5;c%E|@erR|o!KMCp0!~3}qSN0& zu$_}+EM8W#Ip-vQdbC}N(qY}(U#q*Nvi#3UZ4R5;_R4WFLs75=f2Jv|>BE_|S(qVd zdM+K%E@uT>I9Ea*DgCH~OY22Ok(;DB9_D9SMNzO#D8Z&om+R7zq0lUm-zTTKK=F$- zsx?0SzG?crr`=|K9!fiFl_iZ#>jk}6ici)R(R8XlV!{r4*K1%L+FPSYPMV^9oq4V= zZ?0*Lj2T0ro}MgQ(yHueVMlr;@3j8XNMWCX&bo<-3U0F(Y-E z@#SkTUq?x*B6VFNt@PK#U#qC!5WX@cr`T+_&NzbK<+QcJgtE=twBESa#oM@I>q+FxY*?Ve64sA@2kHpvCdOiNm zcfJ{a_wok=i~s7M{1@?G{o{Wa|MVaJQT*qB_xIvkUwbR& z=jWquph>>z=rn{?BEjTPdZ9vqCrkuFtIX*YU`&D`cobZxkky(=biee@g$#qd*(}10L%va zqcw(Bjux#yY?cpV&iwgp>P>+jI%Fx!Rfehq z4g)r>&(7p9tBrqp;<}1wFnWiwcGEX%dv`BB{`^rqc(M)=j6@IgxwpR+kDsi>(po!Q zi%;wKF+ynn;3)T<9iN(}OEa=aC{Z%xM6zPS*;|DU`Xx8I(Pi=kQ^@VNu(?g)C8 zrm3E8lyOQ+GKtdE4k;zTq@%lufpl5Zn#p(S1C0cjF4*1Bn%NqS@sTNj+!R0)5KUjH zT>voXJ7?}%w7C^0&ZY-^oE;y=E;Qm&OGjEP#~M+eYDIlSMt2td7e_I0(T;l0Nm?Ij z(3BRPWEowWwCy^iy{o0Ptwq0pfwN2U*%*(g4QD-VuCJ%nZEeGeR9nQ&6wt#6Ojs0s zxG$~9t=15r^)y^_a1kZQA(;G*G{toR={`Wp?a!p4mDP2?)o%2=&^7I#rQN-xoiroU zb$HoK%}h_QEk9Pv$;xKc5-KVEeZWTp>l z{-S@`Z%$4DJNgJZ3?`@%IJz)4f{1e4_XR`_rK>QhENS_zw$43K(WGrsY$xMKxXC|k zQEAP_ESHNQ&1(hB`Bw?Z!e`7Ii5a~n59fLr8U&C&i?W-z&#qW}`@J?}Wa1m|f0nZ@L z(&{HYtMK*L3g{95?Cc)K>c(zv%_`V%IV5@S(8y2%PQPufxND8W?mN)B-?;KX{ku{@ z)pkh>)?!{OZ7%{4u*+VbPh6vJi+rV?sSAgkbLk?}u^ox&-$_g>C8+=l^8K=Hs=kPP ziua`jN5~3|dEdU8AIS7eKA@7Wyf&CC<(K5*J1J8M%5~em(6{fD`^vBEC%i7nxV~(b zl?TKG{*`z9T*(LjI4T>>H!{>wF=?KB6ynZ@^V=m~CQdow?~UFOzTsl+;Gmil0zHS% zr(%J8K#6v#HYWzz$L#;Ev6&mHaBgar-?|gzU2v{U*6n8h=qUD3?02CV_gI$?$cKwR zyQTYL%&ff>vQ2+WOr`IoSolGS-v6@jmBFUwYklABXl6K3Gyo;hwty^&NtOe6qkv)(;1t3Af~|ToWO|NdvShp7=r`7 zacf~V-o5*3eD|HV;``rtH{3*q`9?o^NS;LEGFWLz za0$bp-qjjV9<2USvD~jhsc0)!0U;50qZ%Et_-wjv8!wSo>1ah`DJl9t*Ai$7Itu}t znPl`YHC(orbU>&Y)Qes(k#p|lFa^v~cZQ7A`3c7(z^_|YZXNB%>cMtA*Q-{t#GZn1r-!V>+> zf7bB{J@JGN?2xgbv{*2%E?7f!@uciq3sW)bPCYbo`t`xQ-R?9kwOWs4MwH{}+Isxx z=kLYd$$5;;y_(9&r}qJ%PX%i`DahMLom}YM?JZr7WMOeUe*f>i690>T`mOlxe{wr! zZ;wY$t3TS*krvHkhm}a%=;)30;L#z=%5p;mmk5P>OrYs{nP|E7F36N24K{{id}utz zhbL*Hv1r&o0)fXjtn~B4VWn?UdFy8K27!?lNN1kAzx0U=a%VgJi2S%iQ7V608WdJJtjq6a zb0~LZaTzPEQsW3|`G)>Xb2AfhZEiXy#}L>J!2o6EzmcI9Aan|VI-RrDwHE1vtEJn1 zx4E_zj~+a-P*)n{4fcIE!Z>oX3c!k1mE4EhU1*5TqR;gfRYstxp}|(nOwYvP{6b7m zLDzt1o%yxEWt$PI<&SJU=}qO&HnZ7$Mz2i9| zHc{GE;U@xv;o+fFlEx>-(|T&IRNw`zWr%$zww)-nvsdcmii1AhWl?|Hq1!Icfg69) zuk_#%Q30Ffke562 zWy0NtFq1C>)r0s{Ml!! z>Q8yi4~;A7I>2Ab`y}F$s;Q^c&zHJKqE_}sKMHe?t}d2cr5`K=M$&a6=S2|YX>JIz z3oYrt?z`z14B*TaWQYP&ul2jK2=6#idlw~r)9o&|HuK!wf-IDM$2?2BWfY|NepgY2 z)tEaDb&pllKfGGb>*eUuOBxqER_7h?-Afa)JLZts5@Ms6LcRHUDmx5+3QQx+u!6For8N3ihPf6bdC<= zoJ!GpbJ9MHZ3MsmOzw&N}-e1ZY#YOl#VTn8_ zm}!iP3F%L1xoq4Q!ABXY044owXP(W0H^15a z?o|cr%J#6OhZ{XH*rY>it&r(t>`T8*+nORIQ`_CykB{#!$HPY}QE!gN8*hIDI*!=e zJBvq;)_7kh?6cU}+fQG+qt0pEetkaP{MPjtn;(wLMt>Yp{zIDm7>)PLnb}4_XBo1j z?uga!bdh#IW=*Rl=Yue)5%T0@AQx-)NjO{S6+!bx9-G^#p`ix;aZHKR4Z&{E5NdB%L4G^9SS>u142|5C-0I238eC# z&COAxK!Ph?7tr~xEM72ChS;SK-!C+i3KP!=M!MXAR13)La=N@HzwdySqbKp< zN1w+1&+q4!$(JZif-^Uf*xEjfl@0f*-p%&Cd;5C4_3EwUwaQD~IyT+0OgXl_!*}hCV%By zUdtkIr`|URhM{83M?MMvg;E5>?*y3wM7L!vG`;&g{_5|SqkF6Wrr*DMy^305zbx3^Unw~B>%;-0 z{#(z1nKepq7(piO09rZ%!F^{PTF;3_PBy6_ zbR9Bm3~`@l>;(=R9m)Vi)qAnFz7e~0*tLz_`0+14h=2XVKaYR@Cx06M{7?TP{`Ft{ zG=A{2kK*3)CJfXZLagLR|Bq_d6U(6)TtS)Jv`HZl85H#5NU+0HGlxrQOOOZ!phfd9 zzxkh}B~+f}Jqaltn)42U->FS^JFlU1Y6-Xya}EQLmW#6ZwlBX23sqLkY zrY;0pbgNEi$9TbH(h|YP%IrIHaJ50f(@VYw05C%^Ks7XdhLfpLzw$E6sP)h~wa#5P zb9HM!-v8uT{P;&7$HND!v9+1*8MklWPNhjY-A33xdi*$6 z*4N_TupOh^cjE;o5pC~kEgg@kiQ(+`t`M-dcaVN=^+C6B9Dr6`Ouh#Ve=i*!oCD-sa%dcIyt}v0$Rv|9HybTqjVfya?n4QZ}Umv|41}KA7N3%9OuI z_=L*BnU+khRo2Yvno(h#0$9Xp3OttrJBgb29W6n*E7rcGaGn$HLPye4A%1@G*X2n@ zb70!CT04mR*Q+W6HNNL^Tg8{&=go`XvfT1U=ty^zZXKAe;@#)?Smv9enwJ8DM2=#RLlB!Tf?O-%wM)BN9xtK(t8IZNZ_TRx}>#@qU@7o{ixqt~RRZj_`8-s#FapDj=Euk;zCA1!{*(sV7F zeM50_P%Px7|MDE~Dz}x%#v;eX3MEz`R4b@+E~?q#&H6x|tB4K_4x(u5W`)Aad2Vru zY&Ta&D6P8yM1kcVbggo}56zayIXow=lvV6nE48W`+w_OFM*yqQkr)+aU4E+Q3JS`D zFALV~R|*!ovZ7TpoD}9(TCsMO#z^g$s21uFduq|NM`KG1F;Xl-K1}mR8r| z{rgX1x2=CAgh&PjAKH@Y0yham0#(!L61apTLoL3C5C%k~n?UhtEPk32o{r0|#ddZE z0N^O_N`}q-ifKrO3iO=qPCX^j=bab9vVoZLY4yFjee*iZ$g918v6Hk+$e1dIRRufq5em-6K_@Pgzf>=u_(Xlw(?k_&zO9 zohuxR5Vsx#mc4+;1e(yCL*}_I8bZ#ctOT2asya%S!{#Hcu^1hmM0<6%c|CeNq@nWV z#DbmuXs3VXUYyAYcDCaX`gd#2T8lo}gr@5V?7p+;J3oy6PCEwB+RKnRbz_+ep_nsx zp^+=lnlrv#V(8QvZ}^dl`<&c17czEwo zeERXHvAwyGecj!m#sH~TO`nE3eaneVu74`CK9qsCkF&4a|3(3rQt{SKNF=y(pF@%%7-`*stEx;aB~fGk)tfzrkt^)ox8ZFBEwWP?`=lgU@|8|mB5 zb>Gi4xK?~S;g0e(fAg1oUK&qTRH5qk2&QLZRp57mSEGHwbi4WSl_Hdjg{utP3OHq5 z-X*W3odyhI0!@-n3%ljypK_;sn>-{i;VhryTizg6x$&pxMqjrsRnAtomSY*^XK8sU zmR6nu{#L^+QWL1~lJX4{kbT+T`q?EP=XayOFRstc#G9|(j=Q&S=7t!9@KlwaHvLtj zif(6<<0COWrBV<7px+-Ion*V`Bt_cq^rQ>c$)f;9w;wI`E?@I9ue!28QPaYfN`y4R z1!B?&*9#TEOB{0cVcNu)d8JKthjFC@d16s;yzYn(G6LB__0h&E8Qr$xliss^bBLPj zmmG5_8-j4TIiJepsULZ^=S7+C(j4iPiA1E+&9{`6Y57d|TR!V>d2e5#+XTK`ujGQy zSAdw){BEX^v0FLaL-ry6@4jn#`G$3reZinIQ$u;G=L#WOAgWkDR0B zD}ud*%C}$t%UpU78uFNnx+A+shlXQj0^SS1m>eBV5Nf*0JON^^-HAf0&-{xB=&ho- zg_!Gf8=>23y>4S};$ak2n%`fI-75KQ;YDfwhQV!&>`cbuwBLZyi^zd)5P{zm5GiPF zBpXp*O_xKeW>Gn#ITr+{Q7$8_2=gyCgvAbK2HMgyAq71`;Lv}bqgcIP6ka`xSm4|Tz7~l&E`os z0?P7@?4aFaHPl}HE;UqjCe!vE^IH*esq;)J>7M_HrZ25^@1n>|HKGGh zY14I1F5La67v0{WbLkew$6MB2sV4*9PAg^sm({HE1e$R=@hxa+l9PtrQr4#C)oCy$n5V{J3FXB8IL zSCfgl!^ESfOYvl7J?nIOd@OF?xR&3$dFxg@eDE+1(5PvQ9MX2(%;AwCXpR0$y$P`7 zEA}6M+n=;_4#8uzG`XV0s_PLht>s#o=eie+j8oPo+3!obL%WErU3dWPvApU?2Ou1Q zuG@mM*zH#b`|VhU4`>0jPdIF^b?T}^u9evxCY4WUWgi_G1&mC_oNfTKvjEK*z_9*& z`m$>K>?-Eek@Y07JVcNj>}%aE`@i=Ejelu<$am!n(!QsrHs!r?gh=c-8Bx;V4`nwZUglh%zvQXBtJN|?^-bRO8@`$!Bqs0U ztg^HxX_{2GLy>jz;`4mL8{Lrk7R5h8zJkInAULHm-CeKVvn3G<2sn#w(%eLJ<&2PO&D$09I=DPO2fsP*`+1kNozGq zwM|z5KCQzP&>6W9mB$5jkW>LBEd$N!O z#$<`xq~&`Yvlu0<5_l$`$jjunDC4H@J!8^#H+o6B?57X+lV%@%Prv#L=)h?EYw1it zXWo*AyYx)t!zEQemL0@8DA8y0ISQkpNQ05H*&AXb__7`5BGaZ{Qjlsy`nN{D_Up0q zvnpmbekJ}*g71E%Am}>!vn1(b{w0KTyn6JTd5BFRs@qZNGwEF2(J*U z<)TC6Q-$pO-{;E2DUPIPH1RSsv)frs6757lWT=Ryid86iD@Wg}h6wUn{!bt;{>a>A z=Q9m{m}fh9^_w)3DDye)@s7mbM3}pK!Ek*r*OYUsN(t9as#4&7;U_TG+%YH_3@>)m z&4f++`LUe)zQ@u(&GGZxURlVp(+(4WnKKj>6_}2SfXqO;pW-nB-Z`3cI2 z0T})4{8$W)_e5iiH0r0(m~2Lk>*zl@Q3`QMEOb#V|&OZ0|VQ9NCz_HN-(Coj2smj2lVx##X*feBNtLEi-Ejp*%1#Fsk=|$$QqIeAR z-#xsDmG$jdSzbw|s3lyQbZf{_1gZVhJ$`rECozaty@;Td=}k>f$7lLbfBXskxL9u7 zHRw7()Cm#}C%bU_wQJX6l=q52D1u03V0Lychmy_e8X)({(sGV^(9uwIM`Cti5s=D# z9xyM?Qh)a3Y1vr|FeX5EOx(buO5;4yGn1V}AA}fH^h+ zcppwnt)o2p{lW^9eytY;yh=csxqlFDyQfH73od01w7g1qN2KELIM)~AdB~!4m zQX2R?r=(yu%$|4h8E&M&&Acg83x7j5>GEjH)qOh4Sn}^XHfN@5o{|$4no^J_P$K#< z-%DB}pC|N}?VaV=-C0W@Nl%7ePXY4>xf;Uuw!8Xl5(S~Faj>&dcDf^fuHcYh0>17> z8D+9Zjka|{*Az576BCn@C|HAJp0=U>1WSSgcfOi~{%>AipbyOFy08w9Ix)-)npdq& zzl-2P;SPUGdl@`tU0aX#WdRnviD%5B^q>K$JS1q+sG+R1&Wk0}dlg@_46ykRuN=d##INsZc_STa)-hL9N2dh!LJVvkpI$@kzBGMm@4yUk? z!Dqu$!4j=Q<60|EB@*K4sRRw-Qb7ukb1KQ_Y|7&ER)~{!=rXrn1e>ISz#eGD00O5m z=&*V-8&f9d)g?L!+v}-yNerAT{AI9}kA@6AnIDWJH8{UTbz3Kb41c{$5EW5*wC=38 zBsiOh@8%j~Nv4XES}cyw#oO2K#ND~YxHB~yuT0O!-Py%>mE+>bcq|N$631hHbTVd~ z$qaxQt+(lLZ?Y$fH8oyq+UmHr6*%3A%tu z&MqP(78=nvbR0*$r*Xt{x=X@a(~2pLN}CSvrPYToXSumv-7l8iZo2^n(yB?@RhCWZ zAc5w9vyew)ly)0zjzE6{bQa!k1DJLX;$(9x_E!*cn;WU*shAzP3PR6Wv^$5feYhFz z<1Lh}0~D>pXvAqye1w+1n9>lrl3vM){Uj;Rj7nGZDUyn_V`y5dCLOS7*z~p2%Q!gd zjkWEg+_Tv=S>39$F<}0CV;rFL&O7g+CuJuS| zN6`9Qkta&A)t^cFyzP_#l;%qQ!!`MM0tEBNTYl9nnSaHOL(%eZK9cmoymJUVzrk${99=GWKDqDxgM{#&$yPPGT z*V3eHa`exQ2=vF!Q4ac<{@1x4ElQTlf(@Z8sU*m2J6!-(S>&=3t~l7f`TcA|sR8=v zb`^@8Wp{GS3A{*ItsMWN+gORI^r@+I+uV@%_^*@?-ov|syyQpx`TQ9?Np}x%!t;@! zu8gw%&5^vk%#)CoOj(-ndG6=Y&)QBz*|7BpEqIhJyX|#-F2nfwt9vY=Ctej_J$EQQ&EGB9RW*>6=5l=c2<1N&)Bz@98ht zJ~`#+Y3#aIiY^+`LI4B1Xu zn35WBGD+^2&S2LngeI}uiLyg=pDTeclgBdT>3cA{S~K3g^?Ll_*S;J7@EhNc|M|E6 zZv3Nfen0-<*Z+X{cjBLX=a1r_eEW~$AAjc$tn4g%mt}j^EaHGScLud}6(&~wJ zFMDr=qnqo$a!`ks}%|p+&`pen2kWa`(-*V+nwK|Net;Or2#^TtSzv8w(no z;1(db1b0nvhu|9A-JKx8JwTAg3Bf&R;|`6xd*d_?4GiC%S##%aozk_d&RSJ_@AnyI zv@!Me4g=3yBN$pvxY8kBT`pMxi#;ZEkKrXBB7K$?7iB}#D~Ihsx<-K?jsbcrieF8G zzb~yxafA52FC?q%nYZu+Hjh6aMe?}yK<`OhU;DrTyTyl+Q5Tmplqjhg>-RoQGUHJ zn*45m$snn)0W?)O&brk<_YYKB;GtwgiI3dTJST%s5-QtG-7v&xye*np%l^xOU5>dP zX=Apanz4b&>79JyR|X$Oov|OKsGXgW4tBniZ@3; zHYz&pR`lX=k!+?@94tGYW=9opFWVcWUPfJop!(}6W8MP<%1j8c;7nf+7V$)`>565c zgeJluBS!6V_Ge#jYQFM|V<%1RKpuCo2Xzv;(;$b7_3E|PH1rbPj~0JBVRk;S6?Bjh zC8$l@>)F=S-<*5@Q|aUoz1al604`qT3z41l7{=Wo89mpIlrUdLJu5krv(~w|85NIG zloCiHGrITCg5R)Y{^lT69H|I9FEFHzo{-f;=Hmi*I(oat@Jt86_?Rlg?;Vra#HS7C zd6JwR7^3swO1qo)CI$-;cTPK2p68N2y$EaNFO=<4iFW{0wpulSDFlGz{7Xki!_*&% z+lwCcvf`AHy7+HffRfyk;@dK6I{GE@$tjEZjqd5q~CkeH+=-}-e?i&-7Yq`kUo!# z>FR_El-THv$`=byz)Cy2UhfT2E`U4EP}+gWc`3$KYAFZc-osTYe2Unl5nV!8e@~{N z(WE~g{#%gyy9+@o?JF9Gm(EP1!nQy+>7~t1f5(5N)<4_1by2hFZ0?@gW1EA^ zfj3lcciURm6>mo@>h~dmLNwZeu%_9;+W4;7Q>*pG`F1ouFSBr-E|Rk`Onnu$pHiw| zqwB#S=w;Kgy?N`nuYX*u_Pdq>{U3v{_-K_7Lh(-L$i}c5nR}(99{3jSwG~~qjctgX zL9kTWu)=8jv&iuTgWTUDG>qsTYbEi6;9BXmr08h+G%woNWXcInEiEeG7W`c@^5TZT zr#0&-?h)jFzwY*E4HS&MM)JbHeOocO{4kD29!=D?cX#|IBKZqujGY;9Tx>168)70@ zAoI{1fi$w8ShXh1T7-n5Um7^2_U=_a&Kw8YnWqwNW^T>`nSSJxq9v{DhP&To@b~yQ zFgS3(hQ_DwJk0+b+o;#Nl9Q(^>L4O$TDYzvcGsLqS0udI5a~L+<3>PuMB|i#Ba?8O zvxV-^il(4P05{%xkjS;eNf;!>lr!Mqr}~x2Nz_I?%PX$ppU|BO zMI1|c^4z9Iy{_NS(W6O=x8P6f{ct@b-M6@sZA$x6MYc}&`&ug5g`sRTt;hW#4ek@u z6#c(3(DWu};q}3nA8d+E{>AWVa`B!l1rTDz-b5R>HRCvvJj96Q5CMUDrTkq*F01BN zV<^&1;pS)G@x$c+3*O&j82i8;9SPMCS#dhRawW5h;2`QB9OL+XCi3BG>rxbo@PCR+ zUJiq}7053`d9|}@IC|Q|uw1m!nY2^yx>mf%hGs36>e5EIknj9+2Wa^mfQ|{)rtPc^ z5Y9Pl-5+E8TKa9^$zA z6X^}Q2as^I<%SK$0%KO21fx3y3(a3nby_Y2nQ;$WdpgUV{^H9beBZatBIE8diEW+|>Ce3lE4?69PJBf{h~Axqx5j`vRa4t3DMx#J0|ZH;oH}&!+IyPj~^fIw6O> z7k%(!WbqM$U0w#?q_9sfT1I!sH1-4W39a%-486c-nWNT_k}a7(k!&*g4(Q|1vH}Cz zIJ9YD_*DOqEK&9?Y&5YWCGk(2HnH9UnCInEP%ub8gwyXJ~6KkAu^^oN;?Ta!U7l}2}CKium?JD^iazV)+? zag&dlH#kMCrKto@+tBH8yMP^Tf2wx$HRnKfJ;**^KL>=HeDv~)X)K#XIqzk31xiL?yXZB^jv?x9L<>6emUPF zx~iq2ydNO~)VTA#L7$B8=W%UwGsWO3E8+$l`@fTsuNXYXpLsDZ$Z)(d_YyOEB;M_R zNu}wUOsXF-ZPF7$%E8P*=byW8Fe(C;O2%i*k81>22(B(HquNElA;Y(&E0;9#Z0?O~q(mfg$0JNvMm7?ll+UwCvf2oWn2tgA70d zSt%~!9J&}T?J49jh!Jv9?B94mcIs<>*;H0Eq>LK%RXIWU=Y@3Hp4`=yVNv|m+n71Z zo<>&&H&dLfyD&MqcZY4_z4bN&peA2r9_crm&8}xkB`V^t-XVDP?$8goT?9c)2qe_( z1fFaM(^!T#<%eV`(`pSQ$*b~4{DaBa?^!x#2n+(HBWWyJtwe7~p2NTR2rW{Gt0Nmss1m?zT{X-3NV6=9xD=?Y+1K~@(H@$^d2siGG_T-3v_8_7Msm{%qBD`eCqDrQX`}2B3-HK^~vy1i!3q3=@M+1 zcy_Z0*0SS&XUp0e+^2Eaal!cKuOI$Ty5O)+xZV=0s8H*b?NP^UFjFXjD(O%{?Lan=&x|K#^v2l;=euNQ!=LZnX@FE}}egvSHMg zwbH4tuz2qtHnnqq{qp>lKAjzy`G{D~Qg$L+4fUoE{P)3z-N!ivNoF>d+wmIP@4>M) zxQBg{vd7&bi&OJee^hwUo*FNbvAjyKSlIH$3#ZOEQ0l(%gaPm>^1~+Wy7R=2Js0-< zq61e!M1p7b-1yEMHQR%d? zM40~Sm9kE$v_xZPwXr>q49+$nyXy;ggUgjBs`#ZGxqv=&y<{d>uEj4=Mq)zf{ISNb z5r4|%Y36gA*t)oa^i z1I*I#^cyK{LPyJL+|90FRuz^mln$lir+#((;Q4b$o6Fr=))b<gAB#E>)B$}uuF_P4aB9J?dbK++otz&<~>81av|sWBj42veR- z0c23o2nmLnm0LiSV<4^(JQg!bBO1Lu?}y)eb7h_U8W{ZPKE}zq?34<2o6oa`fQGX~ zCV(Kym=%eX8a(EU4iT5q-g_4;=Jh1cMQReo{W)57sudl2muP(i;l7>SPOQ z)}YmmEd`I3sDYzVLSnexF(_-QiWwj3Q+^qg*DIo62OIT>MU>50wi2U+AqrJ7S_LVp z+Pz&36OW-EL-n3=u8*GdP=t0R657f!Z*@nj;WK~Jj5t5aOfz7fw!LhNc0m(`TVE_2 zC76(chR286RZ}Bp6<*?d0;SaJ#dcY z;yLn@`0u^RvMON?-%WpqVEN#4o9pX>A1XH0(epNSkyba@84q5DLH=v&NM(ZfMggi8 z9W1>cmAuQ)u^+sdRE4wV6`YwgV3b2mR+g1Y)wc);pacDjE&wb1+$7VQ=qK1gqqhFkb65}D2q z>CbmLXOwE#K1Z+?8se-!97-DXE+ac0)OUTQw5dVk@}o-#C$#Kt%O81iV(X15-^+Pp zooL)|S0ACn&Ov9DM;(Nyo=)yqbTD6vPUolQ2;-o;H<>D*Gd_PR_HSPvnu!7lIq#fE zPQb>jsu>F5@6;z6dshz(6n;p3Ym9wHrLY6E>xpeQ?JLR>fm_NaoCdnjn0jnUdEM~? z5Yi#`Yb3<+TT@%BmYDSl-PL4VmeCT z!d5wTBEDt|wlKWLyF)evG-~25Naon|*G4!*cc`V<9uBr7!B>5Dj22v1w5B@q6g~g+ zsF_a8tn6dA`exEn00s*<=}V>h+`tg&*}I!Ly@ zO^TE~^2aAAk3Aj`DFnEh>+SGvZ6n5Np5Lx-EWUTXk%K{(dha1A;GJrUAQCa(dz?2E z$lxfJnOwQs6O}}3-?=$P<<~T)>k7*cxyH`%JVzG{7tLolg?_B5e!^U)#grwN^OTXCgP- z$?#+$N)@h06dS7hNe9?egI-4=TRgyY#!ccZHDlGsGFrEELVMG|etEZ1Om2ZIVB$r~ zz(o-t`@WSqcnQhiPuz0OZ;a~J`%dccxkM_jiQ#BPO%}ab(8@sc_(g85Jh6)sRf{KC(%f~Z?BJUEY z@0)_@4#L6dBO~M#wMnDJr>CrKzNdc)Xw4Gg`rbR8ouBG8`86;zxq5M2AR4@ zeJOggm2U`;DDyuidIcdnGtgL2nXUMCzB1D*mBlQ32>sakyTbo^DZr3{Dttja+t28jyK=f>#prqHc5ce^ zvS2RWK0#IN`WQLx_qSyap=5F4BVGa$&sl-G-ucc`EvMx`kJ0$w1jm$KtZ7kCQ6Jrk zLoMdYcBYF^keFhW`ZHG`SAujIy%1vD_h^`pvn|L0!jfA;y~U3Cg|fvbte-6Yf{U=! zoJkPgi$Nz&N^xV&d?{)Onu`$Od+6vUyXfJuO^L>y#7K+Mvg zLZ8-wt@}NgcX&mI8Cbuu^S-J@BGCZS0Nf8}c^a8vDgX`&qTDGSAm1C+{$}}h^+n0g zH^F%{cb#xZ)4Qb349sjGu-vR4_m`XlpG`t6wINQ9tCha+7STSMod9{AO6)XRz$d2(*u8o>OF)EKEtj;w zI^nZlZ-^8D9^4*}lF^93V~O72WTgQ&)8XP4WBR`;1_yIfN`G7YD7}ZvAr3}X`32}# zl#Vb{PD05j?`Yl5BweU}igsH5)h}dEqI{{6qj%Nu86p$Dot@L>J}e=;iL;^-NX^aQ;8WVHUGJ3#lo7e(+#E zr}Y}G!o7GQZO3h?zd``H2$#zU8X0%Wz*0=Qg~RFwCo17cxC&-?EJyS5iLxj02823l zq7;MMGA7|sJ2c0nLl8%RWL+QobOJ2s`72@F!vM3NkO~H)#tr1R(8V`tR3~ES0M48}Fo=q8I%Glr~4^=0^`DfQ9Ic zTO;f(?xL;ZVWcu%dOrn4E=QwUV;CNN@3`(thG+b}X~KYa1yp|Y;OzTH*IlKtS6_yP zKq{vv?V`hcJS@* zYb$lfX@+gzL~6*zO90AWw#MKlDkg1P6z@cp)=!_Ii^5-PmXTDCu1b>O$33Y`cRMX_KuBKC&Z#4O@ zC*uaTJRmW%v95%s!bZwwngWk1as=JhCvrPX4kip6(8I3M@!6JJ>JRK40@gl!_z>G~ zSkdL4P_i8x@sZql+rjkEzixT`$59R}QbYF4;A&?G5lS-&kyr4Mc9xuC8h?`Wp48z8 zAB5kO)#pOY1STvE1{^Uy-Gl#`lv3z5YJNVq#bgg#9EhCEO!=c8W?5on{q2<+_tk}F zIfHyBEZk4ToYL`a&ncbOE6JD%WF+pp4(cL5&38@_%GW9;YUjngOrvNC56`PM(Tp2@t*8* zZ-SU*%qa62Qm(NsjwriWayRhwG~ zHB$!`6=-8K8}h~NBCswSeO)Gfwate>jrwlkG3RJ(3KOXEb8nk_dXYJ;)e{15@BTJx zNJfO8lfW~^q>L`4_qzA_IY2Cnw1$Lq^u8M#nz~sh)D0$2ukE3S@Nc?scq7Xe;6pYr zH(~Nru^+3twO5^6ezwnCsfoF=7lDdiX|L$M36oK#SVhc9oqu$o&&}xz-wk$bTHD)bLBw9&d+9vE@ z_VwzT%k)6t9fb{2AlkL7ZYLfk?5?&j@zsy+k&{?JqFOq#^MtEVT$_+eqlvpVGZx+g$4!Sd$5vLsMpf09>7{FG^Qo52P0ZRTs=eu3zwrg ze2Z2oRR3w>mW%C=a%FC<%4-<7_Rjy2aD}krN#QhRoMLnPuFU0MLhqxzH6=7$8cZ>(?=@X_sK#Z~%0{7i8$$1JYtc z`oB|b`*s-q5w)}SXMEt$*D-LeiKmZHnzr#;c3197EF+X3Sozg~a5(||<#IJyn6R>E zw{U91>jL!liil3nR~3c?3x7BT{Ppzmy3zNbo0PqoKYqU=_UHZp*3&NXcp=4^G2#82 zz|bm&asw*!{L}paNpTqY^2g`HUPXs42C42DCw|MxgJB3oOg5ls3>CaL-BfE(CxgVh zq$s3;vcj^a61{K2$)4`>dln8L=*@9C%L)2t^FD+W@X1K|bKJ6VMC>l^;K)bxO}P(3 zbG9DU%w6;c$Gu6dn{RM+0Z5AItGdH51BR#AT8dAd{5k?S%nM%DZC*PeFCm5fZu=N5 zM1QstLF!)FC$oJ&tZYB`j>ARG$Asblu}|4t#=7kyH}I%dh;aFa?>?; z;l0JAOhEfT>hmwXuWTu)m?6xmNEbuvSxFf5(W>tN6#65zbeWRBUq~?0QkiT!H8p>m z0nLWtS?>em!=2se((?~VJljpI!pHTSPwK?!V>oqXxx-|>CNu>LBcxeqIot$WjA74&jUR(AS;pLCi8hPvS#y3tz(Rr(DZIeTOS}j>&~8 zG##8k+fpdV$lq3$m+O!DoR-p#7fzvRcAn1z@7szoy)}T^?8Z%_>BcqVqzm>|R->Le ztQ{bS$i@KFg^1LUFuT&f6Z#q}?z3B&pkhpR>M?jEL;%`{{%}Cthrou+W}b&H)U{s5 z_4)U(Rz$e226j^YV9s1@B5Z61d_tBKMja-a3+hA;qK^i&LvzDRyK4xNhLT-(>t8ft z6n-F8T7DQZaWn!H21=Y$DtM#g%gbH}!)q7JAe}nTYCL8~uB2=xZKfrgR`Y!7p&7z{ zQ?teB5oNd*3Xb#pth-8w3i^iH`ZeUzN1ugtaYXpZrfOwiJA(E23EC5#qbEe;93)|q z>%6X9omUx2w&z#BEc z1qoe}AMjXxtExy4>^h(8m4X{YP$;T<6fsi?Jd`^>PMwl?OJE2I`0UlxgnuJ@Zb?uI z$iHv()NDKe2F&LMJ`xW{>5pg+h!k6af%Suw0b>(DA$sgzP}W}==Y7}jg0+KWf>vZ^Df z4NHr4ND)@jLhN{-5DQakw|t<@oxLQu%u(lle`N5%Rm+1KK|hZGJ6)Y@h^fR0fC^_# zG^j{CS-1^%*|aU?2qkqQp%G}u8z$QTM)*1R zwWE*wqd04hEXD|I_VbMEz0xY%shL$;yHFf8N>49njjlm`eBqujU{a`Gxun zgfzyxLDIr;)F{@G9IH#WF*tDT5IBBjixIhqR6&hDfb7|}110Sr6<9uqu}^kuCetc_z`xca)PXis4?Kw=s+iwC_ad%0F1dbaeLSG+;uF=2(Vwc2$ z>wLbAOCV!>=Cp&??cKJSX8$WbrOvgimtnEz(%YHWJF8+c$7Ll(9A(t46CJI;MjNZC z7G5*ASeO;AI#WC$!-gTly$C{r<_bkp;n4sltFbdwY^{p9#f3Zlre?qXThFSM?g^#x z6DBfyIpS|cKabCrh=zQ>K>m5e586`M>26%=)D$Gl1?%KsB-ED{`R!cT%3p5fUrn5m z8-*u2L&IsjJ+4W+_T1b6b+{!b?+5)=qpX0XDD_mUbjz!Sn?@?(+%Zw=WD*~`*mJ3k z`>XE!HSXk0rts;%-mi-GhXSB2VW}1$FHlgN4>5J5up{z$Kzu1R@{OjTmlKWKZbDIW zO8;9_zm1vmW@Ep{fZKAFjs?*?I~4<;<=lU;*dC4Bd_rK|Xjb~^Jn!Jm=^v%rNWgcj^O&vR7q|5kN`S?7CE|t&6J4(m1lQs!C}g-36-!-jnJeP51r@E z+FE=@>2CTUn9%9iqfO9D;N)3%{PQk5EMpH{PG4tuarq&+c;xfWZh)2{mnIuSk!OG5 z=;}t22fz}*6HNR&qjkQ%3ZH&t;%@XyZ5f5NlqZ3S+ij{h74uGc1~V#*{lWH1^Djej znwrV0;$>v+P2s|YWi%gLR=}OLJauFF_IY%iAM%G|Z5AP09T(5tQa~|BRgt^u-+V?% zqgjVJ>}{Go;(&2g+lG4sq(p(5a; zt1qkj2czrNix=4~9a;K9zs7%V-1u4eOr>py#Eu>0g6z32Q$=9+`u1K{G7e|k-;pBKhl*~ zMj-XS7{DvBv7wRdA}8%`pu>frJ*##lxY2A-96eDBlIbF+1GP5?fhMJB!OkgGFubsf z9xz-EQ(lyS zs>Zu*xmv0L<=_K#&dztl5Tf-$QOimllgMy_bmGXl)`KK9-Vym%s)Qnfy`<0-j4J%S(PLSUs8YPbQIYXhWr21F{GZ5$-5uG{$K>aa!u=s!yDwAhV$Wt;Wuy1* zXguT?hSDxX7Mf1#>lwa)2`!vZ;pu=86qP@p%G?ilgj)_(w@q>oJ-|bh7WB5uk&j=j z!qEADIdd@n4C0i#R0$18#%ui`3@+MGd$qL1n&GxI&#wQ0JmZn^(iPx(2K=5^!|}cp zM@DbPlS8Rb3^vc+0dTyq+fLh}8d8_X!*L+{=^xSlM2M9yhTYD4EvxtduU)aL&BDj> z@Kb}9GT;StMCXsyef7mYn*aI^)h(vyCWV@a3mYu(suXw?#qth8g8FPBQgnw)Y;c}W zSt+n1we!vo1Qz?&Q5{D_V&Yvo+WzJ9@A1iCbv9flE-n#|qWn~rtCGb9N0SFwMVf*- z?21@lcW9|BEjdRwtGWI-3`q!7Ym1dFXqL`9v6NZNqtB3+QDjo2s@M2;uAHEp@^s~8 z;(eRPPTi^FTFuc*6%UfLP~6}5#SIB*gw)C|ZA8kk1U%T$9c#9aQyz0P``P4Z_O%P2 zR+#0wZ?K(p636Jxm~lP_2ht;bx#{okBUd51MkyTrbU^Z6siP)DyrTa!nB zmA!H8v0qjbok{0-?OSId<7gyUPLy9yau_ASh1ew1Lmy{vzvXrDPw=p;b|to>kSKt}~- zZt4!!XT}as$`(~7X4XGUN8kIcL0i7UamQ03TGyd4l!ejOXr>cMiSnuBmC~DpY1c1Q zE#}pm)pr;wU}3FgWy(Y;BqDq=Kt*cVYH?=6L%H3&f`(3h;8R*wtlZ8eTh9o#NXtqa zuKhBgzEnUr!}2aUso1X`J~VD1-w@=vlzX2Tn^Fp_rw0ZO2*QhFiMdbBYo`bFI`bNf z@tYI)jEznmqfBz^bGPS!yockkdB=jDRyG{1l!2&dU;2*D^AX8CM&F$q634+TgAAoV z+QO%27aM8&H;kUGhlpJErFiZ^Jt&J!j>eYi;Uh*B9Q$aK;d}N3R&V{mE`_$vU4`mMVRX>RUE=`hUFtCH; z5ER1QIa&Kh25yN+@+lya!GeMHK!(BE{b|(EPno@=+}%Z>&#}cz!xkziohXcaI@$Sb*u%cpA5p35$zA;!TNa&;4Q+u?l@-TU-)E+5*sMM zcFMZpHzMg$scX&Vwa%X8ysM;si$PP`+_#(bimsa7n&l#fwJ)txH9m_y@;9aKKm0L) zvN9!Z;W>z*TVMZ)q*jUX4Uh*ze2(NUAGwhN)MZi^4jgbHS-*!ihMRELUgW|L4~94B zfj4zH%F}BggtfF#246nefuB9qSV7Cfl)?|!hVBb?lv~3KvMCwZ`;=|6#^h_~*P`%W zMQ*>%tV;H1sT4b$HuPl1c9z<^@Hmbhqpt9$H@m4rttQe>u3M6GI^Le-CMH&ne&hEI zv{yQ?EFC@8Ric?pClT(aS7;g}x@M#h3_YxxW=y307G%oe^rFoOa7+o_&0DBZ_E>m# z6F}O`#QU8`h;(Sde3-9%-f7NZ(gIhcH2N?{g8#<{6$U91a?0;c_mYt#-JOwIg=M$m z)PuBSkGzMYXeo_J-(#~i%%E*I=@xrt=xYAy-`+pDNO`{i8Ad@tmOj%T0L`{Mus2P7>==dXXM^MJ| zSZYRUG<%&BnfWbJyS%Dtg3eylL8lWpAT3y3@wxR-!Z)#)gGI zfi!CZH9ma+sC|kUg!=_hVv6xJqf`=e1<<+4O5YQXBe|eM_>+_)> zbHNcY#{MAh#zPP(V{Sf%dtt&!b}Yn?;vX))k@L;?U2Gi{1GR2u6H+_^8w$)k(~QlB z%be~;RhnQN^UxBJZU{d(?Oc-T#d$q1;#%Z-p^Iy%=5Uu%wHPbz`15X(({h!Uzi8_V zJjZShU{(^S{RNyjyg`lODi$p6p=i{5#xSHYf}Pv% zCkym;OI)Z*v2};CV$a=gxgYp2*cJ*^ulo$I+*TbRTw;`kTb&pALDz-}gTyX|-yY`M%~+_XME}HLWzh^qfIdnd&!KVYt*h0RH#8qp>lca!S2Z=Y@F8rb@k~ zT4gD5%`SIgd-Qua(G^_&t%_@6UebX%wy!G=-zs&>b;^zA-2P=Psp{QXAl1KD*LxWI zl>94&;P<<+vMa9Lo|4`nZSY!Hz0C#3*pXN&g`{#QN=R6Zi$pYhHw{59sFyaMc$JG` zOKKIxL%0ypFqx`X;q#7BTphl@fN_m0n^UpD1el-Q((RWv`GG|mVV!M^;yg67!J@cN zRnuEXH|KbTgOS2DPW%o3k>aYVdD3=pMLb-ONCjRUW|mAcfcK}_bQ{$3>K4gAY{f$F za0S0+Bsc#^ZR$jvlgUg)*37Tl={`1Ga&@le6+!(a_0X5K{>vXL0^Wg(8Jh$srz71} z$DNs#IX=NG0=J?YLKmVanyC@BfDHDH+=5!J364u04{;oE-#SdL*1GuVi@Pnj?v(6V z%KTE#s?i7mx1>x{I~kq(AAvhkX+Fc}X+)>w5E5;hu2kbliKyotI_R-5Xa~y=sAm?W zmOL7BGVoGd)@P7z2iofH1*Qgs%Mc5b@cX4y+E)IA)iHrzARTqQ%tQ=UgsaQtC z>>)O$Yc-V7i%M&ZWF3{BM7{fNilYwig9$F^U>+Fq@c||LE_*5mM!bif>(x6+gHp#U z?8ix!4wz>erG1}k(c164SRVo%{B)K|TP{j7-)NbFq}MGZ=TA}n`mh2QmVyixquxz_ zgr+R{D&nAk!(d^)MQZ|Z(M?|B70y<(F}!M^{P)+ZSy|R1w%djI>77qWWAG_wX!{hPVAgPb-i=q&t&g(IO&`<(Og~Q~;cbK8^Pytu78oQ~!`rkPH*X*|rrA zD`S`40tVs%1Vw>pCZ)dJLSHqWZY9u?9dHM5KempP%+BU76oy4}g^z@lcF~`g$J*PD z!&t@H=#g<;;gkB^jYdAPi!**@$!pPMTA4N&9wCOC)YRHb`%D$0E06B}X-P8LhgaPe z4TbAE*43P5k5Z%`K6B{E6I>1*5k5UudTQpa3!pNjXs&&@ z9I8g)7%Njobj7uw%*E4@WyCBqNF&edcjlrP$MmymvfJL03K2q}rXFejf&V-BwpB=0quGMgwN+Zj|@IVI1G~3s7nQ!$D>lfNZU%x%8 zlJpeJE-0qAf)ipC3h?b!hh)szX7j8!6IMAb?K}39z=y5+9h+f2eW%92yC-#?v2Jv5 z@L0ROyFHn|v72`wV^lE|(%e{E)X@gUw$Y<(8sHm$nzIt{yqF(%XlwBqB}99W6k`l5 z*{71Z5br#$Uv~gPAwb&)$ti8UR~Y+CvSEwo8o|}_z;E#r^-Y;?Q|%Z_*XG8`E`NiY zyE?kM4a)HEv2StD7EOC~K_ZULJITO8PBXW@X}}jDm_XTi3vwFsv=PHnAs>lP!S}3=)3`V;;eOPsFCr}m;G>=0 zMxmfb9-qiaBV6Q-La|p-A1>bk1WH)0{}C~0Akvt2H!_={s7TP<$p^4 z`y-{_@6hr8t@T#c;mD1Y_5YguPix;bYc$@{|JzmT6u!Ok|LFzdQOLNM{Wi$|Ryvl} zs1f-8gL4-z#Fd!1{r61%yHYi&QuqGiGjCEKCl?o!pcJvkwVs~P%Brfz^8}gUoezrGB&UYpHV1W5(r<%*UfWQaGmgaDb^J9 z!2VkNT>5$qG*D5M*+e^fX8`vM1HZOEUy8j9o;tmZgKU78#K5hE^|9*`5eXD&*c9cn z+7m+1Ce|Y5b79ad^NoJzp8iP|=ppNLFz{sXlS)U+;X&Zp!3p1U$%c8*ZUPMF2`^|{ zWs&lwH)yf*)($lPvLyCo6)1W=m@Iq1_qxAv0#Ri*zTz=93)%<6h~K8AT9^aN+{g}hp;VCKpJO_HzJ|zWRl6K^5?l?V`IMsn*>92Ji7d=^5vWuV#!k5s1 zi39)mt9i;Nv!F4bjKKSH&|`TDec;Zu)9Wdy5p=uovb?*HYQ)}iUz{8Cdj9&%CS;>= zf4%~GUO9bBl+F>p*)KT1k3X+bc`Q*S*|OP0YUj$CgWC_sFlCbkAF_<<}+fSybNGB9c(@bMHvz-^X7Bd#Q7V9 z_ypW^2YP)@q2KTii@a#-JZ?Kd4!S@-J%{ChcIMwi;q-%!Js{#b0k0R7FH%o_LFeZJ zUC;k9@#DF+!ph3ZEjs7|ecqb;llI$0X%P_sc&69yH!j|vg}k-}-JQ3Z^dkg3K=+1I zoJ4)^w<2@W12>TayIw|&ADD0Ru>ywPr;la46ShEay}v{TtStnr zIlM^OaH2tBS74P~|0|rXc$~^oV4$yS|LRKoiLsGUu0e~~bs6xn4D;s&q6&mhxnTzg zO9`3|d|n7zd)cIf{ivefQgGK{N^?c9k@rF=L^Hfxzw5j+`xLYx>#Gqme!NiKhE8mU z%M8;H-P1UklA&z$>b%OieG1$-cT3pnK+(Q6epCn=?%Y-A>=V7>5}SFMqMp5Chq!< z2wI3o)g^}e)$taY(tncmg8i|8-PKY6(*Kar$?uZ>J-$>W2s5)Ae=? z`!ew5O}bU|z8h=#{GJ@tEAgCVL3H}ce*K@r=MsaT3v&RSHZQHL-}3sM)DE_bs2TxZ zAV5(cD5j}(cVX}kFVNH41Oi6cCM4l-bF=F`$0PCpVeX*uLz?lWUwZ;QIhaq1x#;OX zf0<5^J@{UDik~IE?PQ;4(VRq}Lo~U@j|jr;Akg_;(81ewTK7`M4IrTSvH9@&6!coH z4+GxX0QdKT!9JAe&tkC1R}&S{hoUR;t#J(h7m)nx*~YU_I=S~0WC!P!+Kt0I(aj6b z^(^RZy%5(AFHb$}upX?dKNsY^JLsL8=)#!N-#GNB@1v=$%$Z@46?BwSLztXVNvS_6 zjpH+nLWHG6x0XUUR1@P;w`f22{VWxhPpMlQSGhP!4}_$*8s)J8HnATH;x{$c_x_8l zZwjxh3%1=+haKCtZQHh;PSWXgwBsGy?$~z6w(X>2+t$hdcFw)e>uG*-%^IVsMvcOG zQDWbR+R?cK7wbeZp?=TWy!GVotbPiwzG786UO<@(0{j6k`Hnd}GdwIdbuO%-8-zLD zJv4QB-|P{HO7%%~y}Et=Jd|5~3GsajaX{)3JF=3rn06VKxDz@SZjVv>W(T^E@_E1f zeDBI^nts1xe**h>i9)?5p#z)0Lo(kKdjATX6pm8fk)6^+eQ6KBy?3m94y^QJ*z9AQ zV^gT^`PIy^YjgA?ji;4}fp{xXZ$dKIzwW?Z7V$(JXlr2S0Kv*d;}pCy<3whLLmi>+ zk?i2I8Q=Qz#Vw?S5f4O5kfFB_zJ=h}pa&8sV=O|1|9MPp!}Jpm#4>(t03wp?1c&AE zq*HrfLs)$Ac^E?IZn1esWFNqf(Mf&vU@XHh7GrZr^F+k2RW+Z7pS41dhaVXo`wR}X zN*{Yl4?I!`5P(#a17^lsnPXtVHEi}3?8il-Am`nG2X4AOoZ=&ry0s(ib?WolXoJlS z3Hj3^bVVHuZy(H>uYeMbK#_;c(u>^M|1Q^cC-)&J`h5yRIL^KE^z?LtX-f>S)%Aq+ z*;{OsafjW3Yl^sjc2+@=AoHn^;ilA;6C*Ar)Aa=f2O!)pX>k7KFQgvn&TW|kP_J8H z%ITci%hB3IU~r4nQ}EKHUfsRx&yh%@|29{N!oB2a)jQ#$U(E` zcwQXD3uJh9=Tp+xYq`J~fC&V|V!J(iZTKNLv8F`_))IZ6OZae_5^!sKJHh~QM#GGX z8s!@)eEnT6_tRoXEf-=%;*e7$XqOxYU=Zo9gJhp;zON3C?vdDlzZ~a*86qLz6@Wii zV8Li=1H{0GsgD(*(`XzJ=B3mi{0k1V)a&lii!>xsY)ZoRMVyE*9WMqw$~83c*MJR* z2~f>2GCcx|sa0&pv+L25%FRd?i&6hqK<42udSa$9G|{R6s&2%syol!$6)rnHgIyH;TgUZPm^9(JcmwdFTiBr+0imd)7hB$5D(2;RU7NW-WbDZQ|SB zXvo~xIX~^`DY460hJ>CIgpQ|1>u}_(qYKRi40lp2I5nxT%h`Zg3nGK6gJvw@Mru;{ z5v7ACkc5}7o1Y)GiGA9=YrbNp-L<@#OMZb@Pqv*0wu5+hcv+lx|3TGm%xiND9=!33 z!-<5y553>%@s%FPjh>QF=y@;UV?0sNm3((#O~v2-_x}Fzt>ESD;1`%}Zf$O(0I~9- z3JQic?+rFNFom57{f!Ea1~)&>H!s?MbB+8V@*U9f3KDYTLfJ(6yh4ikVh3FwZ)f#W zid8<`j-TfazHPUQG4IPUQC;V2o%Zy(9Lc>|{49iW$1xPdR9)b(>M>mxr=62sb0HRY zQQ7VXIG^5Jun62!O2_vkPm;l9w-aizH2gcezLkRbM7QUvT*T^dI_-%m*ShcNRJpD&AhBlv~HjnJzev7BWBg8NnwBE%72A}r6!bmLw(D#C` zbC)k;b4y{CY&vARffe+IGaE<^|GZD&*R|&U`5)8{!G?r{Og3%a3T*CL5Ko5w2Y{2C zaV$qu$SK`ThZ2LGLSzAR`*!o2TPspT-p=&K7hRWB63aIV`zz`}Z39lTC+-b_6ywPJ zP7^hG*T@nZm8&5A5ImO4l&G<$uY<)(|SU z?00VWt_bH8QW0;wHy^zp(1fnhCZVqg`rEFg_H>@U-g&PUP-O(d##E$B*Ayo4h7A=| zjLFnHk~>1v(RqirEyT~pnvvNRYw?#LE579Yit%HI=_BtJN{wP`B6N#xkKrvu-ZT)- zL0McLUbJ(^#Dk)@JRBMh3FY!ClcYZ(Fp{#1o;sZ0G;;9@Pl?ana+1PO@g`6T?GnQU zLdCF%V;d!(|BgqpKJ?b`P1Zj!prF9P2w=xG6aPCMH}V$&^B-psYo2C?p*`@d zS@?G0aq!NJe<%C%zAX$&l-^Esq}LpVH`st0ehcZ5W79<;g%IP4L4BCiH8!Q5$1@Mq3c=ZEz8sLBe$bgY~dLmOP=q5RU zp2gaBc|r?_$fZwwN;LF+v3^Es31mTJ?xPO+1pGny6gjH^)xC^lzsbBdI=pfc)qSjF zzw2}jDHGaH+>r<0Zgmm8&k%V})ZvRdg5#=e0KjJ3J&%aGL6ODnC?vP3{^EcBSt-&y z12(!#|`nnoihB!h*uN4R|I zQu#TT+^pGA?tfs&fC278DtgypDFh!T(MVts z*v4TXKVReu0N(`*Q<{(C?CbLnm{V*LSzVx*%3VL ZVP9ckdhh{Vr-hXjy(-ckJT z!!d86@B-GOp4CheHwYhmE!@{hp@(1wlvmhK ziAAs-Ycn9)6lXA_{m4I;F9Cla^stQio|GA62WsvoP8fO2e-~-BED4Vj8iE;#de36M zZ+rhBn)qqH*`9v&RCg66*bh#|-+4Ec(0t@Gm;M8rpc<~+$RxZ?3xm}>0KUvd0SnN+xnlW- zb`FEo=cYZ4ppkdhg8AKI=Q{{`>rhMXiqao#8ozSKViZ=46@?`O=_rbNhwcd#Opb8- zv4jwipU8lFkv2P&rCdeL44NNVMkl5r7TsK|t)Hh5#%SAC@KPc%EJzY?lpwrs*zGL)NGWN?{O#9EMn;*iUd}10!=8-4 zk+s+!;<>n9Umpt5jNuja`S(lG$7R=8=g<_-zij*fC6ueX?d9BaAR>gnm2ZAvt>{K< zN}NxK5?Fsh&^VdF6Arz-ROcqrf0A zne_mOuOCRBumwA@w*7h(B8`J;u{9-UBp`tjFx#R+hCs4#+$I5pi84-@ zF%Sbr-uAtg90>eoU>c235t1N_wgMlWSrliV$Pe`<_8&Xg-fo}X-LOc`gf$Z zI(7Y(w)GCgYyDA`C@@*qI&%Qh33p_9{}9~ckP;z!Q&`2F?zcD&q#%a3hpIncsvp_E ziXvnHbhYqUii#}Bhi<)!3P}`JxZhm4siadxQ*4owKW-A{Jhp_gOrr6(;!uc-eiJ*T zg$FLd2}(8+J8gNI(+5gHuRwmT3w+)fisKu-HW=|e-)}=s)dV3}^qeYYn|Z*_rTo&q z61+WAxx;?HBMSapdBijpb>G&LggZjw<|-iymb;Yb?>lk5>DLrU1nUm`Y1-PIXqdKz z=ZtP2JZYhgMI5F@pd4C!`BN0LE*$qgXfhg@${C2=VzLD9%*8M4Y0REez6}P1+y$pX z$obwP{R+0j9Ek1R!vkfsF;?QvATGG&*?xT1D?%6-V~ps`uoN2s65KOpk5v3@!BXM6 zV*G|kCNb>oitgS3`Be0A1rtyndKp!qUCRH7I`PP``KFNI;DA8#?}|~iR-2ew0}>wq zHvkFrcdtP|x`KfYgu;YGGj_*J;T1cC5yZvn39KPz+>jvN{w|J;N_5$K2GT&M2E__= z5C@`*2DvGMFDIbuP_{e$Mns94Xk+G#lrMF3=l%^_VN6ym1&9%y;5Ui`ejU_@m?8;MOSF7n&H!^Lrs^!`F!sS85~aBMzc~DG zpCnS-6i@Ii;GfrmtZCdVIosYqGVt^QB||`6zdIADArSW2g$sr22Is>sCDs;%WzOFo z767_Y6$E074#r^tF@mBYz;+QnB46+>;~2e$e+j(Fxz7;o;gH2`&V+({V-bjEBtqmz zc*%bytNfuT2%kMxS707gFF zUBR>m*%gjo5nPh&(m>q&nF>9m)+1j!7CZ9Z5%0=}-m<+DWrqV(Bq7cwOH(51K{jKL zLZLmmiORWr-?+S;;@V$1`rjRemm`>~5g4kuM(h=j{Kyxs^Z)mAD2<1Fy6FqtT(;q) zt*4O9|LH$`_=?(j4!zkHkuhsr?jHngDE&dq|KClGV>87$le_=Z)42HmdKyO@Nco@j zzV8GNJN1`M`R`fw4vk*$0qVaOEq5LHvZ8c&vzrEQ@wCn@gAHqz5-dw!W` zYEFIY$X(D=u;s+loWwfoxy7<0NpB3$?W?lCTwUymbGfIV`AVhZYi5i~Hd*in?wu^n z*;>)3E-9Sn^jk)riAf-|0cjkh-lv#+r$$jPXDv^ zx?%!9A#`>cz6>*>)F<4@?wQ4`(sC`>PGedlqpwyqk|r~7K+Psyp_rkFl_*APk?5|n z^yOq;w`{a?Ks~Aus!?0|CQP!1PurY4-zT)>v*D2QLT_)>q zgBEpyagWUYB$>uZ90DYT1=PG9fdQxi_02DPz~gaLr_dNHpebjZdgpE#(tyvnK*P+| z^2d172ao4to6y*9Gm*2p=cwS*o>86MZuGm?d(0%O z*>avlRo3|$udOZFmwyx#9*i#@5Z0LR{Ve7rtSKy9=!& zwT-G?SvYvL&mo<%nAE269Q<}(^ga5eQM=jrc|hWnN-TXm{LpgMOm1j4S*DOaS;GJ` zIK0&=)8JbBaTs^R+ZMk*NmKqlO||W)Wu<^(S0){&1c@M(plp)^F@1EcZX&FhcPIa6 zlfA^XQK|No&q4`7*p%)M_=W&rb-8Pc>u#`%9>drC;NQxh6*{cx^_iLWYpo47Bj)3* zCv0Zd21@N5Y-ie{=Na-?3~{40S!NOCQQI?;V#i#3t|wXGH|X=e zE0}h#i{Bd-%pp9M&l%xTF1&XMwJzV=eHg2&*0kO?Ho01U`5qk_y|K{k%Qf=4jmjQd z+z*+RyFS`gH<~qAYOsoYKlgSR+&OWAU3hP1SaJVl49&;4`16rIPDZa){jX`Moz68X zD(51e_HB+SA6Ju|r|l50M=`Z~#)vsZ*XmAnw7K$(MZZWPDUNf+i&5j>JwwJ672h-r zp);NRt?7Mey+(%dDLuiI6t4^nB;o{0yoS@2=8aRDYPOdw#bR=Z9nM*&VU)(286jJ_ z;0Eh2e->E~1%=fPWA&BO5!gt0Eickd4V@t2U0Zzi4#zs~@wz;tEf!I`acxWF`P74b zv2H`_3nqA(>Spba-R_&?icCX3d#ouV_2+{HqHmf!KUOEs^%^^T72f{Mv+>+d`BM}^ zC-2}uCKJeBOzh2-brrb$JlFditeSWT+3;nheFfPk^q=Od{~NW^I)Bq6#QH2gdoG{S zDQt8I+QDDQITY=b%Is`tn&;wNI}s{k-)(GHuK|+$0c zmDKH`#me|DJrElFqc8X58b~g%&96W-@6?)!-qn9!q5aRji0YYJbq!1Nz)sm(x1ot5 zjqIn2o{FQGNl>TriSiq&8s4CW`_OK#X~NHJ3Ha}J>_6zDvR0McGcbN*Ya~5R7yT2$ zL>k%|R(H0OvLAXKZDSPyMHe30z%u(yN8B_QT!uSPR{h3sX2Sn|?4g+Gxbd~teBNek z;^z?$tk*i#z;?4O-?>%gj8IMP9ikql3REtxsDbeOg#C`eK9ml>=5zFY2z}1f6_sDr zX0O%|Y)A2n(8Uq#JuC(H1A8D$;u6ns_jS+kDzuA0v3}pBZ1obB<%|_6;(@e|YA%D_ zL(e*aXOUq;XOqP+4u=VulqsBXi%wfje3R4^qco#5Q3**(c)4riTWF!_ysAN`pP@1M>L8zoCjZ?%}Bk4eVmJFf2;xu6fo?LFi(F8KPbsU-1AvnT_tO%Mg=1M+w88rHG$MI~jxkHsj98sFs>)@} z8#YUfX1O)f(4e77;I1YRILqmVbe2}0?rQcq-9tH^7P|wr70(F3so`Pmlrug+W){=% z+N^8INPPDH@&$gn(37))tdU6?f|O?iXNJ|fVKdEHc&34{(*nCzVPg5!SER~puW7Vr za8~&8456$kt=T{&j8B{7h9WLBgkTmO%UT^Cs-{4WjQ6e0SCZE{rZ!(HEPVWrKku{E zJ{|iBSmYU)=Q(b6r2|TJb|wm$6*ie!yjg%l(>m+o_~HsJB00aywZ%o3HWl|Sh73k{ z@+#SI%JZ2Jp$W_dOVGr1i9?E!S2lsmPhDCjz>4ZM`chPn(rVOVeOXsL@4B8nV~5Fo zhaP6Rm0c-)O-rM>z&%o{Lmgf2a$0Rhw-#$5+$5a(-oU47)N6$4K~jbWif2$QqjqppU1a-EZE)w8LLuxPmAo9eLD`j$uz{`sXG&63yU z!q*zc)-3mrpfS}wGtaGmJn2R{b^gGIoZrUjT#V(BL&;NC^R6ewQCSTO+0lgsQo9A{ z9~pp%#5!RqdD+XWlB%N2253l3D>W9+lV_ymEXV~QHoBz_fRAoK(E6UCbhAZ#bx}#k z8Vc-jVuJ3$KXRcx@l9{zV?>ia<@_XqiTg5B&~s50yk06v%yT=)ik#^pqw~&VCd~=! zOzAzSi}%^Z_eiMoGF#4OC_bSK1x0?ufnbCrnkXu1*HB zc@$}lPTp$YKI>hn-J2R6b$>f52zwi{GMP z(luC2MhS7Xw(xXgnv7UUDFtKe0p8}aLv2j&UM>~`nkiadmtAHwta}8(esoeJrH$qu zvcgV=-y~IYDw%>{y2*E8N4EU-R2967E88P>2ZrJ^%|`IL;Z3DUNLu{1h0vFYW6U~) z^8W@4?3qmw`kaZ3RZgz`{B7M-fbiIe=OM`O%V*3L$)Q=KzO&iH!Sk)Mv60ct!MxFJ zx@K&tY9%85%LKEPico<J97K<4m2Os$0D#9HeFx{8~F(E=aX|Fkr8S6iX6|@ieKM zzfdb%Z(oWr5WY0@44`dn?7R%f%SaYH~U6$&H;%r^@SbVJP}1!RjKkYo(Ej zulgo;TP{16nyW>#!-Ai%--!h$$qHR}n*4Fd2@oV0-(9Has5tGbH2dn)oaZ{Ov9)b0oJQ}9VX9CzZTc$ku&GHL6w*j$}f|_YDK~#`G#Q1k8x{F5Z zvjpvj^dM}{mNJLBO##c%k&32rlu+yo)d@eQ$Z(#7n%vg~l?7D2Jd7S=7A}SWVBM66 z?1h;qO1}S|-CqNtwV*gl)0;C5+O3i3I~9y?Ckc0{j`OqXk2j?E(M2$6L*R)2OiQSq z%>Qig*gv98BFpQwCWnNJ+FQDp3Cb?Gy4&-ONl}6=D1eMlRde_yaUG#!4Y`AnkIFP< zLGf!2m9$_1Bj!;5?p4_q3P9>-*XdhQmJW82~ZwGC4}hT#?UL6qwsx6-3DL5c~M z`qB#&uN`|N1-C2uY%1t?IWe^#*_@=LC>^&4QVNywP5nTp?6+@%L!qQHT5#i{Zb#b` zBBd%_$(Usr?pE#?z*^9RGQc3l6pk1$cNrzNj^cHlUacpi$@>r{&~VB8n}^c^Mr`dvg2LY>dy+ zcff;xRI-fuz*zlax;=HK!71TE z2hrVki=75-j&q2Jv={C_npQ7Z6zDnaYu}d7* z`K?yd5#qv(?<-a=KR5CJaPU3kvomvFs1mxb==d!5-4MLH?fRjW?Y@Ed*vH~cu>hMM zJw)#I@0R>y;7EyuG+&9|4H%_c_9__c(B!~@)3e|)){!)o$k?&mE@?MaqX{D5%9rM zTSONzMuk%<1drg@qJ#jf z#fX2D9O_?YAjgYv$v!CVImD*Lqm6!!TuCZRzO$rTsfz(b2fN2BoMV7gxgR`aea6#P zkOjVY{O;*8U&WSh@qBhbLkITCqK}Oq9P83J4{NN_19I%CdndJf`bI}>bYu-Hg$B-r ziS>(--80RVu6-~n?cqcqI3hOG(2GnIq(}_Y*$}oJl2sGue@+5PvU~Sc@o8}?q=xC4 zK`a)|r=-2F`}S_6sa)BI zt>$qTaS$mKce&NBMB%`%sYnYn_?@1L2{?7cLUbEB5lI?U*wcc*FL&%{gQm{Jr>zpI zF%d}x*>L-!$~y{m$Z)Fyag_pCsMF|5*L<5Odwu~_detX)FoqkLDd{t9rJOoVzQ33o zzh44Ra#v1QOdw3C2vI)^pvVtLDI%=u7Gqhho5&#xkJ!?fc~R6>q`*ZG5-y22&kjV^ zAIcc`%D5_4Ftv}43A|^EXOA<`V@{-w4{vnRwc0Jfy6N3fArK%5OXhN4jAdQ2WG(S4 z2nh&afb92?KpF4CDH{CIP5(r9$!_p0u;~hVrj@k0;&*oJ-n2QZvpXE`EFQF~+x2Rx z$4f7vN~=qKA&kz~+ig#nV&~7qFXgH{_u+?%K~5nBXbv;Aw5iqA;x*iRYt{4oq{nHa zdI{d@yr*Hv-fTYuR8_G}CzF2bUe{&k zmuIbB!i0{dO5lBZZ&ImA@y37Tl+L@~MOA{sFU(4opym+~%NEsrwz8YE2BuA05wnn2 zoPyH9u{2 zB;KvMwCX!1bI+S-U8nhL0(1uuZKVV`;G{&9uD9*a=^P5isG}cg?zw{9p}|vi7UcBb zfs(}7R9c*w@nHS)l=pJiMn=Lx$0`B?OOjP^>deic;%t>FMB`#ERYEA_q{XVIPiYHW ztO6y>QBKTZ-hWlg_r=w^wnqE^&eygp!?UOTf2Ad`{B7oD8tAmUJ;bDM$l;8L@;(u* zUyJ_$m`}furo?#V7DKKd3rWaJ^a|%p3^d8QoN_6X+=LPnAe_7}i(qEyUVD{ea)=k9=Zj(ysgW zV|8^1`Ug=%VTxWWzB?s=1D~ZsJQ(U5{ixjKH4b|uP+ypnG8S9uiZCY-n;Bns)J?2? z)2$oUx7OLieLvaKEHZcbYO{eboQp zFJr@@-w*Fm4LiMe&FOuN{9@WhvQ@Ky$B4vOG(vx+u(O(d*>^R8hHoXVr|>o3oqA*b zmRA@rIItpyrXzrjoDfh!*L@FBt)h91)+k>?m1poPf=%s(Q3fHk5`dM&CHlm;TYE0z zUw9Z$?COBgf>FTw&C4&!ws3$k>$Ip=kgX3%N00drk@T?#Re=s_Az z%i1)h03!bIO7e_GS1%?o2-|20rst1(;5Aa3rFJWm4@Cr;4+P4^aquT8^6;hV50LmL zqiEm$)dFPKdVaW@7H1-XbAMh1R6EG?qOftzq)lhx-(ZMeUcKAUm$(xpCxz{8<6KEX@2^MAWY ztJ=Ry$b_L|O${;aiP~>SubELxS4*C~6oBAUhx)Z!Z>pvEI^U})&l$vm+_P5XQv*2S z5eBX-Lh-If-1Zf!jZIoJUX1^$j(?ixxZjvMHwU7%jzW-D~xY zS&Do6`v@}x#RcyxW7I@SQZ@8d%bUK}w7o*W8a9Xv)&WvN2X2dgShy(GkBLR{iunPO z*E2p$AQC0GdjRW+&QTbQ9S5hMIY)cm*XSJD_s-iR@Tr8VPb1jMsN0F2Cq8XT+p35* zAjhv6WlYr-U+SpM&r{x!e0w3$ozQLNa0C6F%%{DQ=d^f+DuGOpUrcOYVZ7wf(DJ(vaupEFDGcHgS12%8_fg* zMA-wiRq*>QVu_jkxeAGjR`=0thp^ql@M^@Rq72y|8X4@6(Vm8b7WSY&e&AlQ;hOR@ zgguN_omj|=lo_GK)0q-?9wQqU)r8lkYi&=ge6I%woR|kJJwaXcBP>)Y6>G}ss;Y%c z^El(qE*=Z|&*Wb2ICC6Q?yZ3@BB;=Km?{$qNqQLT@;1H;M^G^~gl-|fz7DnCNFVhxei%K_rR;{Jd$r_o%RoBv@dcFC%s38RxQVORF(<7t|{mMq^ya!i=jJ*n@c;JgrZ0GQy!yl@8m zcx8{se^^EHi2+Oiudd_7ZY7=ZWz6n1H0_m*jRrifrn8$U+lT&JrPXTw`>}`IQzGPM z+cjCA3C1dZyHh$Vh7<-_MCoYiXht|u)*WqGv;EwNhi)qG_Dt_FvSgIa+-8=XRtWx7 zSR-eslIRF%?t~T+WNCiDOM4ZYMQ9d(uO~&OLR$^-M9A`0MJZZN4OoppaPK{iFvG@2 z+&O`|z2{^1cMQx>lcSkvgnZV!_9nHaK7niXhTS?ioT7}iiodvhZVS47v<-hWG&Tln zH`J!eV5#R9zG~$bMH&T(N|^BbvpQoDSQMoKgu=~uE#Q1Ig*=!JQ5M4#kgnSFO?A!m zP&%`>^@4@rG(_?m$Du|5DMzTi0NTjN5dd2`Sl*rF&s=MGTe>nnFj&8`kDmjm@tZg! zQIS~;L{#=Zu_#*=Pj^rqrcl?sgUU7?cGvC;29hr2KBAcSWus^Sysmesk7NHaMe$-m zeWeT-2S~8V>4jlF%(6VC88`ZG0d7y?MmbAhvM)-0f|ZZv+DPP=F96kR(Y86&Y=>3l z_o?|9$7x6cfwa@IDWGI4Dbw>D7B`wJ09g`Jh_!5f$Vou1jgCP8VltIP$+T=szMGCd zgSe$fG}p|CzQ2Z>7dvyZByNwfWaRW2QPOdmGq>csm-iq7{2}IDGy)T}`jHQy`9!#z zLlB~*Z#<4(!y8hmWMj$5&Dpv`MGXZEy@%u<3Bw62e!(4BqDL}{@SY36zNhV|8Pqy! zs~$2`%_QP`i+PPo<-Xvy02WMnT!6+yhb7lo+i6)YCwBtR^Z3Bl#hVtt{RaX5CA4_M zZrN|o#mJk9kT3ZH#g4KPxxR@FjLe}WwGpcQ9lQp#Y|87PQ@D> z?&o14=T8xLvCSR{HkYd1D|p9=^Ml9LAyb$2FQvsyy&E=No^oz1 zdX_M}*n*D?7-e^Z;GkI{ciuv}4Q!z^YXzj41zz6~wP&cC7~XZdI9U328&{d=6*?R~ z;H>{I*w<1ZW8|#wIKKde+2b8MaD9(WB1u^RBK%>$dPLxf!D6wo@drT^qF#uLM^ITZ zRb;70XC^={Q^^X%(Cu4hfh|{3QtxZ?zSqY*PlLz0QzVgI@4D{85$)#7jiWW2jzrNF zDq$bdcBi(93$k4GV3^h{$oCv$Hh~49-Iy|^6E98S1b06GZ?#iof$1V9=0QcBQEldg zm|P@VGAfa$dxsCYhElRijLmo87zMXgYWrlYsN{9+4GZIzPR(;~*%X`no+|4waw%!y zSg*gL)VnaT)asSY}^Y2T^wpAJp#JbzK) zzZ72}-SdR|`zUo1oxJ9Dds(195sFHHDi16=vYk!rM=%FG1;7#qKjIo}?aP-SM;~Zi z?VZN5fDb&cD~})k@AI!dqgidw8Ml2mZ!~&_tFa?G^xiL~Nb@BJw6wVubk8G>c-P9j*OSAyzF`*3smbjaCu0PLv4Cx&-cuZl%3p!b8!8r5qd{=nKxVsfGPDzK;}W za++f_!kRj})YEEL@(=PF)J)d&c0(8D+8_bQ8F@or9%yf(!PO&FpAaf?-^pkZpK{ZX z$rvX<0cX1wQ%sC$%{09`OWHBitKmnddMki>#4iU6c%z;gv(T}8R=08#=`v5|9e*RgiK0J|%AFhy96&^wu%qGzs?V{^#w=jm_|ENEYP@EyN zfxlRc$-V^o&tqQp%p$t16pYUiO{<6ggKBWFav0k3gZc`XZ^pzBFmWq>Mm8y1ztSAt zLzd8^24KvHkMXX1WIjo%(G*`0F%;Q(3PFr;f5yAl}dT1(PSU zP-0~>>-10lX2~84+RP}*$_;9B8Xzz0Cc>%cja49`XYmla5!fMGz^F;(W`Q#w2zImd z7phV_%-240pu})5Q>uATZlQ3~c|iZFRJy4YS`K3kwgD@n>PU}!i;}CNg1==wNMX=J zHcsZZbORKj0n_gPDL)&h1eV=>`$n5}tOI&G|JyAN^1b$Ew5M~z_L6b1-SgyW+JXt<1hGA(y{`r-p|54Jr&aR}OjvQJ z5RS?PrW!3~Qw=w8tJK_w+DREbCKUyAbSWQ7|Kz2>0ds5|^@Q97$?WS!-7bzR4y{5_kTJ*L;;V?8DCUO{d)I6G)cq*F%=y%G|$Hcpg|%>`VMWCQp1 zpe#jHSR0ss(7BKBsyYitDMv_8(&V`q+bSc}DRZ+mKC$En9*D$;>Smzm%MLVoDtJLq6CSh8h<@S!Cq;5a+awMnNLsOfP zMWyVNn~d8a!mBOq=TT|nJtx&NRM}c*$;HZ1x-7FS3&pN$L>8*pOuUl%=bJpFuATcl ze{BYOjAJrFD4i)gBFXe(XQ4u$9@6Z;Rl6em+{-Q^Lya^t0}5T&7;z(iBLny}=ePg9b6Hi=P5AY1dIv=WkIse;P{{zY#SyyVK%)vJLo zUOGejvUZh%(k2|9S}7AYr%e83)^6yqeDF~9egiFJEp!e4x#n{LA>_c-=ul!{3Au55 z5)7_5`XC%NAiEX4VG}Af^rQTy@V4Dp%U-iKT0!SMNj*tmP z80P>GJm_Z=50f?9Hc>FHW#|qA2s7SvPz3by1;OM)69>AHjWx>r7>j;FnR@IoS#X7< zrIX??zzfHMq)hFiN*jE$7MCPXiNgzse$lcpkDBmXsHV=Gh$bLn=@&SC^HJx!0TpwV z@?+NTu<=)UU zZ&ao6w)&vlQ05}8KS3*ZO4c(>j91X!&G`|Mz9W+qHG||VuT4$2QiY4R1l{QEGG++; zkPuKyAxW-F!njXJs@vz9ud;|#8PV~>kW^WbjP7E_iqka)V4mmN0!-V1RHEvKj|r?c z_v;nHE}Rw;eh>bu&E)xBHl5~U5x0%Xv}K(IG5tb6e}#Xl2Qd~;hnWyS1j`Rbt=jqV z9Jogmo4?6gPS*8iwA`uo%M4^^#I(&!G)nYCr>dTp5J1PnG8mN%zL{1_bsTeW&+u)* z`>>sdk{C#GCqWrFDn72}8(PgLUl~jZ9OQ1^3bwvBGODMRu*Y>y9Tc1{SOI>A!*oaH z1*O1)r#l^M6pkr^p*H?=QpFu|vAr(`Z$T@L4Q+mo_FB|J+U7D&@Z17FiMtFv0w{Kj z8(QB4$4Tg3g6O--2qdpaRMm`g}bAwYv!FmO2O0KhWUiS$JTVXV;yBa z6v)|e5`L-&J=Us?5Eg}f`@-z4*lJUAC4pOxkkm(6T~(hzze}`lB!aV{^naP{P)B!= zP@J>5iFYiPX%XH}L<}r(!E793TIl-sx!!`Vday1wBQ828(+xKZj#nu967Wbr8N#z7 zs&3s`8LN@jA6o;Sl%J`YdV`~#gu*7*kJJl5bh2shdPzf_yfySXykubI>?FD9T8Co= z1?^~JG(&WPHUcTsdYrX;!l-#i?Q_+A8)6k%3|pZ!DSvWzP_o!>#r}oau232%#FV*XGe)%cu^P*c!$xusr)| zXZkabW_FDyuIdA~Gy!T$VC{kmBK%Q9Vb3`N`)w4$DCrS8uC+&Eu_Q+=)aLn@Wz{M0 zs_~EQRmfB17h){bk1T@=?2q($Fjv16MjckvW7^`cntd6D2 zz#@@%zoO7XEQS`Q*DH6VMv*!*0eH;-oXHbp_Z0Fg_^q}Ddf-43xEVpCY<#39U!4?v zgbVJ@u40G;!O7-}*`NN}?w^v9YJw>)eSXik1~}i_1KcpCxFw}U?z4i3?s$qf#|;8v z;x_MQnt5@Z%7+B*W0LoNc$>qTtS$f2+&|Nnct1Q?Ox95MInd|(JT{O_T3-G3xmk5$ z>Xbl0`9pBPoS%@ovb~b28XliPMr2UK^&aUOFDHS-C3ql3-O4KY?w{#o@)+wz@@=ED z$H*h|dBbbt^G=aL$L}$%Vk8QPW!&ILy@_ZCrp0A@?Q_eCDx*%5re#Ly$1x8##cuj4 zAM>ydJIu1-OJF`RxF-Se#^?8smm zf1l4{xrTp?g^tJAVKE07XHEeIuUBE4r30r89dVNAN&iHZZys~;W*Jz*ML^+=37Zp{ zyX`4c!2K|UPCqi?FT)l;a;t%QnIYg8uX09D+K{j%iHZ}Ptx`P&Q(~S2LAG zCYInPA!5`HnLlM@zQJzy-v!fyKg!8Wy0-_|jhz z{Wk57pc(=q0|NKFim11kAOHl7?m+V?qO)hiW{^Vg<25)NDgJ}cy}Gx_v?)n$qh_bo zLK6ko0sPo(lEpT|iv-}3C`|Nw`!`;~T>Xf$&5;2V$i;D_uBk zbLUUlIG6FA3D~1BAyCM?&VdXffF6cCz+yqq3AB5HU)E$6b9=AtOF0 zN_i#4zbLhg?j`W_cNql`NRG*fk&?w@diBOl_m(1~L8-`Byqm~JrmY-Rn=+!R0=yhB z&=$YOZEa=MRu?z)T?U?n6w0)ZK`4HMi&y6I_Tc#yd+fnAd+32xJFoA|yG%=Nvyf}& z#sHM+1vu-qs=!%RMW|M01I zmG>Yw!*%}i;a%5hcY@!$&(v&GeI#bkZK;ehGF9KmFQ&uQBzs!A4~||e=WVf+x3Y9} zF(1HZL2`iUGpZixXq8i+uGgh2BRPeknNZsl$^t)&X073YQWZZ4xUq#BLyvga+btHl zDShFAFsBiHg*O#5h`L0l!Vh@osnfQ2_dqhcqkF1z3M0AA;$`G(+vq9AF>(YR-w(UA-;Mpo6&;B$X~yptBX zUcbqlE>I>`m4`X%fHu^`lh}s&Y-V}ETqXh=r%@WRP4-PR49L&!`*uJ+@-D zU<=t*wU&UbWHvhBl_=EoYoHOHn;G2I3sy+2sf;=63V^mpvr?S0h-X`tny=g3Qdias zlYy08RSt^?7zw8)_#GzGs;(p;;z?NvDJdvfOKih3Kc91uxw^Js3k$4z4PceM-5g-5 zv*SHs9ucbxVIGtpXqzTQDc)WjM0?P1en&)$>9_EKh>8r%Lxb_Gdny$d#A@&WD*43= z;aPagJ*2vk)U#Myo(5_0sN!;>j8diuMrWAGJH!b{@uy)tk25eVX(5DtKTa1!5^9RW z=O`&YfRAsWE2fKxbRjQ8`0C_BEM$H{(f3dvQN6r`aVfxwca$`jC;#0ckDIr>qeXFW z!*4p!L=n6sL-&D>rKGyYS*wp**0o)wFQGFKzu_T3(9oGxce%L0iIf<7?llGc@+&L` zC|OD%DChe_hA99D0t9Tm(eM+p)Z6r_xcDv$SL`Tpl#~+9OHpPVv^82aDKe#tK$O5_ z+8OiB3WdC7r0_6My5j>o8ej1hfUKSeY{n%FlS6^IR@$r`PMX3q=^k!9hp=XqFhk{` zjb?m>JS%ot@Z^)eB?OuK$o3+YLkVy_d;0tXwz9ga^b7vp(c!LDC1jedj$OTe-LAZN z+4i=!{j@4JNG_KPQnm|HAVnE{>Qi_P^oK!*hk<<>9c+p>`wV+Y_%J1aycP2$E0-3P zmcUD?WLc%jaDVl1&jwQd@N$vE4-^mi_ia^_C;ABseU6iTD=riTAe5F8#=oahc}PwI z=I-qvrR3q5pnl>(ZE{zLsV@;&eT?A|0^jd5gNnLp$BqEkkrd>iU)nd{fTPWK*)>iE^PM@-Oojq-zcxu&F^nABgv7x|uO#GKlmc%=GtJS)8YkSwO z-@0j=yW6%aFwmCFol#rH7Rxpi5bUU^sa#&NdC@ZEIVqel7n8ot2~rFrqged37u6$j z1~7@C)fCvQ*W2PL88JrYO1lggXAYNL^B&{F?fhQeV2$q$^3fwz2FA`n z#s+iSnOcMw9&aOh(e*HTN8bUVVjKOYo{^bHs>=WlT~Cg~{CKLGB=|q9?&h1~;i`X+ z{s715T=Pw79 zF# z6=l^jFHMy#B?z-I*DH%hsgSUx<-Dz(p0~x7f@N~d*XgM8TE4YH#I(oy90_PLSB%xA zZJtpBR0IZ|dErHS>iNrdQx(~0btSN<@z9{bBAS3NU7$hvKX?@H+ye-})NTR6SYGiw z%WDB_`ul(cUB|Wm5_dPx67N{zOlT`a^zh>sU;;K#Pc=riImo`%T`3eYsA8$HXcq1XpRm9u;LkFD`I+}4j|X5CZ*Qi|o}V!rvDl=kpnlvJDDDgN45HA8f)vZ$L4fEbp%y}qAfVG1 zNb+md5C%%)eiNJU<0TLK5(+@++MyK7zL;fC^6+NT?6P>|){OF+99mk+`>fjb?F&ox zdFRjC=U+N&kC)Q6V0~LiXKbakW^=hE$;i0v?pN)~=1qIy##OtzyJfr0y0r!3Vgi>r zfzAS(-+*jBV=&jWhhgE5MR9ktBGa!N}l<= zQ5ij)YQ`yXC`funG@XM{CJcAIWX*$`A6M+d#VAj__`WH5fzvDNPdf}{%on|&EKgJH+#8?LJEih1=FrRClx z<*|#$USO%!6_D;I->T<~^weB7Yh|@fQ3aisl3gk1tdy73(0xh>4WI_buU#P#q)>$QI>L+QKv+r$mWsY znw3(^+VV=t7MC~;ByWjS%!Y#H9B;<4ku5PCCptKj!hjNB41X}+Cdp8ZEX%kAL|19w zY_{!}Ubt$%^we|q;?|Beu#DA9@bmyYUErxHX;4}e7Qiy#Cvo%Jw^@>K@RNh|4wW8= zcL19-vKm3pa|x7B!$(*xFjn{u0lHv#I*q3Ru!9TnXd-F=s`MIXo?uA?P#u_ng-Ef4 z@}vME!13663SN$oQecdaL_BeaZVNwAWKrGz?f(bzYo5-efG0`U>7dS-)DtgG>WfL* zDnPh?A8BSLVX4HLCF2X$IIalPZK=My7CVmF+>8{n1XEV+!Lg)%jx&5E!2|G`Tbr|m zm3bc~j)V{t&3k0UG_{NcopP{=y_*ym5ZFuzOeQ!64bLYXmv&bBt3NQj%ZWQIgpsLW z&Es9GAJ=R!&WktjOi7U`e?uAf$2IZ7nEetNJ_`IA>Tv9fZrG{@enNO=(kUOV!+YXF z6%Ue>8zSWO4tb>~1G2WWZ=JpRov=R%`rg)Od!Lh+^!wn%JzeYg ziA>Qm3j9{!x<4C*imoeks$m+!{UqP774W1QlwzY-Dd+%-AQ)&DdM>v-ZiSHtdtmU9@ux;{BPV@0EJ>)-8MH z`c-@C)(yMas@gc0vV>$MC$YuFJ81#`bg^LZdyO?{w-8Rv1cOoR@+WNC7ypZzspXc86U7+J;@(zF|+@xNNs-`_>Zw9d|mG zma<=6oU=>kR_%fF%eKB!6ew2xC_auG9Y{xX^&B9WiB$A;tI1$^?$Dlp@_B32YI>GM zdkn>@Z&P5UizubzjP(xJ88V(xXLO#JJa;m@5tLT@`F^GX>)m$M8b^Cpt?bzT-nJc8 z_SJ5^0L~=qWF)*uv79l>~aSg?S0Zj2){T(&dcx6AbOr z9|Dj7;}7=6#txpFbhV4o&b0ObTg9MYPWqBM>XN4hH%w5W%I=aE0q?c3s!7p{j@EgK4YCe0>9ex%n@?3xJI`eoEuUP{dolH$n)<7Bh2DQ9I$2Y%idacX z!yq781~52IS}rwj<#gFCJ5~!Ks2B!eh%Hg*S|TUGFw^&f_#RziPUd8mCAc_$oZ&_0 z`LJ+$vC{+Qp#O2Ct=2dQbrf%ix0sxz_*odEeeAvuM~ zmzSZCVifq}ef_U@XcvBm|9CRQ6FuXXPY`MO6Q1_~HgD79D<0nn#NJN|!a1i7al!iP zB#qI&WYe(~G6h@6lwBztO1ab|M8&8n1dffU= zDdH{WsAVN|W~GoD?h&GH$p^p<<&AfgKG3L10VuRNi9-q<4=BQ#=Qx7#)akSK$XniK zYiCXi=&En%9xLkicebo8VFLh8Wu#Cf$d!P24#6(NP4&?3wXNE$%3^KGxa$f;)NFsh zBGA!N-Ky`gVu|>dO0& z@{G72B~;G>QO(+sHTDm!Q*T;F;H6Vj+)=2vtgFzexBdG|1J~NRPk8CI4-ZnJ3WGL7 zz4w>!4*TZRY7_dF8<%Q7rk!&2b9tXGk&#@7NdQss1q~I0!s(|Co z&59izwj}%T4#DfeD^4Gz-q?nPyaL{v?XJ&H^SyDq0?Lv@Nt{Blq2X2-38Dn#Ezw-PJ}mt z+;OCU+>;bkMkQke!qs6U>yBk~!pHPqjL5fH#Eav}2JYy@AWtFYYI2r8@|F{@82yZ~=b~gGpi69`XZzBreSuKCluRSy zKn%9#>bShTL%f6cj~z-Ri*Vw&k{~|xxFQqSpPfzWeWq({s02Uk=k$$LHKkLp?E zGIP;6o-&_Uq*tiXyhWYRibM6u?x^N@6MWNE98~n9@I-KK={Is+7mQ<3vUU z&+sMz?W{kgA5zj4<-e!0bh-kUzDN+zsZbwE2CHl`>S~oe>$X(4dWoqIIkxapAFZk_ zo)^&Et{sN_sos6ao+eg_IC+jw^d7|fxirVW3frk2Skq9-E?Z(YtFp2gd__8!nU3s*_NheX9gy*8$dLv?5c@uzEFzF1Y$?8$EYiA^A)CRL7nlP!D+`4cz`#)b ziTN2G8mWZrCDp@PqQlTBB$Tu2DNK5ei4lF0F^#WheN$MG51}hRp%N#}th|Jy(hv~p zaLOM7&zWTM3=9>0<9R$5e8S{<(ceSBgoj`*F`hFc7wB|i0Rc@1rlhUQfKAdRKUgz> zV7)*D#NeOgG73=0_Z{+IlXsl-oiusOLE+@qOJAGBe&V%=JZl~YAeg*HH&lnJ6F|Gy z(@Wxe{R!{!pg$wa>x??Z!2C{5T0+ z0nL`5waayZJ@NhQaMoJe;_u4PJv3r>fwzvgvm0kHrUJs3;m)@5Q>z~NQDpnOySBY` z%XYW6>~Me2y+82D{L+f8pE_%Eb8}?Nhve%L^aJ&o#rd+WE-u^Z@`^1kFFD{$OAswC z$Qou-aCL#saa;Ym>vK;zV(tLXU?;4|bg!iTScQm36R=CaWWG?l)$wg|0NZg1@}U4T zbFDdTh++ARlr+i(o&#JYRM!cmJ)9j_e@5U|R`TK2zBMaNy*sp_fQf&47~Kvd59%uf z3D=i|K0$p+ferd^2N|(N%EpS7m&%r8@fgFFGQ5y|7)W^D0nY=~cc;BV`FK>~=tYzl2mQ$XF4CfzptkYst2e2s}A#tjliI4O}y%VsBL5`R7 zaIazeTO5zcG^~!Ub!|@IcWrq?;JE00i2lq}n-21rzMYY=C_X&W^PAf{_RO_Z=V z(XL*(X;lG9WE|Uop|j4PTetO%WlLsrR%;LJ#aoB=;#Sr6>jUeF&zOEtmtl1C)|Tz5 zPcjsDU4i2_laM96*}@zmBvxKF*ZTP<0ElfVn6jr1ySG}(J)+ok^-=Tc_I*s2f`WJ z|MY~eaXljLMWD-vLj z-Mh)}hp!@a7doOo`Qtr*cM_LBIeC~YI-v9)chZQSkLH?&GELsoJp?~#P=;{v{tS|B@F-(p}5}=uwVJ|i*1=WcU&r49`W>Z$+%yjh?hL{G{w)*i6tB&_&`~V=N z{28*5a2Qqf-ho-xw_-|5Fa-t3Jj?(v^}hHAZv(Xnz;p4V{Bd{z+tIKu;;oyvZ1dVx zpEo_fv}y|r9MzZhmAOZiU90YGE5{>0_Hj)hbA3hq@bnq=#dCK4{5d}_oD)~rv^^$k zb{LZY6WHYZZYGwySAjMcFEaGh>Iycq7^>TrLT90X@*`!>{qM+aR3@4wt6Iej=l51*yc`r6pfzl2IMwO`_kibruQ+Sx9?J3`!1;R98}L zk{idWzma6$c%@+7rL=XH1V+~j*3KMTO)__0eE9ac1^e<#57}3L(mU04|cRw^%uCzCSdI@YSmC_Su8hwa$47jMa++w-Xa$n<#`Yo||d*x9qE z?bN9i8FX12DL!;lTXobIe|MCp!$w1fTGjgoggkNCNheka3$em=KEpJtNa1rmgg1m# z9v}Wi<|q>YX37tUKB~5?-oWvre5)NLhDMm|tzBr?U(i=Vmj4>eNdqxIlN;+2t zOj$gYniCIORrO67_3Stp)$n>t@>-g!gEA=wuO>!1zxt%Zgss}*wS!vCp1FxvQvgx?8Pae&XA;N* zx{dV6XJl=*coHM|sSSN8?b)8?voYh0&8(CR*f%`b+ zh3^cfW7RUWjF`(;K6Iu$JdnT^gR)OtQQ-39-}Z?8_OJX>`^?Y!6kFaX zNoeKl%*7>p@UgSDd`i|xGHxx!(Ueu7qNoBh5_$+9C5aML>D0d@kYrOb+&=kE_Fy`n zpsW_6A(+2FqXyQQkfICGRvox|rP$Yk}Z1Jm%TNeQ5y+9;+lS>&Y< z&!z=_RNpcc3#U%yX7ryKeo|hpZic!H#onOB6T;P{1HBGd&|g5~~UT97$Q$ z++$wO<|UNa?3y9so^_6QtZv)Z6OS?3oOxUva4^$Sn;*q2pJ1-#qATUFVi6%OFoaiI zfm)=GzypjbSX@?rE^mwLr)=Yahi&ED12U>sESW9X()t;jUtYCLHtYOUJ315yy=;}; zEy>Hi(q`_E07D|BeweqFrDZA2Q?|CYW*ci8Qp#&qUMSmGHYM|;u_XWxJ$S8;0Di2HYk2{O-llft(LgUME-=@hdEE`Sm|#^kL>}0!Os@p{DMawvakG%Pq)X;U-bH5VOUMT2rqS}kh2225u9GK zg|h;X%SCGqJ9cYl+m7^{%SkmJGS272={tu5l$2)-m<{Gfmgm*pDF+G10tR6!kYu57 zSGUggEDXhR!WF~t%B!NRNv2btLMd%)XXowI+KT1GGs9lkfrC}u46))#fvSMt}FC$JjdQ$LyX0-ZjVkT>h7UNrF zUMf6#cu=>^>$`U4@}?gx%64M_R?gu+e|Fs-zO-f!U0AeL0scfr>8BNEVr)$rg{(aQ zKzZjmNlM@MOq7fSY;pgN&L-89;rqx+DQ32mqvVqMvB1svSod9x zNCN0R04Ly`)5{8Z^m19UNOhA^-|9&p{I%#Q_F@&CnV z(qeCnQ0C+Zz=S9iDV#qI0XQD1gIOPeY&YQux_I=oXP?=#uNjFoc2d1+y`Y{`mg z76v7S!P-`B@5%6Gs+ZpOa(-lrmCEyfaq`{iTfX_5Cg1K&zx<(}vc03tAUxDqoZlVh zK~SMI@~p9MTVEC6Cs5Gfsz5dp_9M?EEP2Pb3sPyA-ve_pSBy+k@tjryYf%}rHLcK> zKxj#D@Coup0gCU{2*EX-&85}A9iL0{;6vvnFjM~Q1y1RBE4C6ImE@`2dR|AJtihwx0Lv95~;KMx#|BQOVJgb2vxZ)@;<fkX|XB&jc?L%2Fc-7)5SrsMDp`P(AL#nbY8Kx0e zdS}6lM;_fOCS6F;pCo0=pP_R3^NHPR7x(D7@K9&E&E#I;P7HJMENv3SNnMl9Sno1N z3((-gln2O`zLtw~4#bD*AfNTQ@3D&yJm~M<4`LqNs9l$}SGAq$jve;5Y`66xOT^h{ zag~x zp0oOJ)A}=2DJm(nF(C4)RgRyv-QE*Q?^)|6wr!Z$w|=4`rE_H6*pYQ&ht`jeBm=^5 zrUP}rLR0N9f=@D5npeGvpZpAR2@@8sy$l3+iV@A976>vNnnjZLf9J_IIya<3`omdwn0)#7h>G2FBjU zCIEO&{w@fBeB38|dSIUWL@(^VUtCCD5@G?S_#9h9a-q^{*r7tB)AlWP*yEBu&U|0I zb|_i`M!xrGbwoFQ>5%kY1-hx5!V^U{7Lf1Dz-~xs97-`COWCt9hHbnSa|JtJF4>JB!}l0OQ@= zeV18mozv_Lt%q&?sI@ijU&P<4>B$P1QixY-tr|L)jNA%@ybMRLu4d55%*#JkNN} z&^a;HVMa0-AY0vUSaZK^acSP1@{&}aUN zmMzR$SH@>QsrJFJRHMwIr&Ml+o9XuGL+a7n4PAi9l^j<#T(>zmqAe%ko4@)`dEMSm zy79s@esF|)j>Qk;ixb2EpX_$Q+*kB=k|QEj7ruLe_!U5eLj+GeeGR}0kk6`~vI3x) zLdIsx;`i}^+KqXZ7_lm(0y>!mX^i@?PitDbk706j6l*Uy!q+WWy}^6AobbjBi-lV< zxEStlOXjg4b3^JQW{pQK0q^PPO^0o@ZwGe&3&!XrGVw3wy=a8%o| z-BCHSZgZ(~%1co(&MZ5CcH3>)NJK#yj*dLC47ZJLO#+lNE zk~2sU1~8BlJbZ$Hq3jXIW$Y@vIm`ufkBQo4ET*C};<1Qg@nt3}+`#C%8JZt+c0n5$}>y88}1xCf?UO!B^7&1A1 zEWtXIq8&68>ed<_TBElwWqP2n=kHc~n^x&xvxELsI~;6Tb0BMebSSHkaA3XTihx#4 z@~v*;V$)`FiZ>zP8|zstBjHv`T4pXG0WHDH=?#UP%`Gh3>Z!AK>fA+v%ynB_T9LAo z(IZ}4Tw)da1wXzLB}l*9+u62X|FvHf;QWyD7QDEO%{77u+p6sj)kH?p!)bheOrC)iXE$8vQVmAJSAfju5#4xp3KBtJG$!2y%vq%Q;9_<>yG6NMQK86zu+cc^wA%J3dZQ6IDQjErke zidvtaw};P)cO8G@OK@y!&9h7=#XMcuQ771N7+ z_X8RByW+7MTUBcaMEDAGDNXv~;;Ev|%eYEQ-nMH}oC0}(%_PHhD|ss~&6^~nb#^LN z+dXm_Go!rc7P6L`D+!3?JpPW99e|PgU}%*(8@7~2+r+0STRy#L*}M!F@guuM)aq5c zwSUtZ0`)H6#8VikS$${DWQ~158>;gjahd>e#uk=J?&(jU-mZ@uqeb8qX0 zbQTA(C{M~9dL9ts^M{oeoJ8n7Wl(vZ6ioSc&z*P%{e*!`0r8gOcmg;TSBut)%b*_~ zxvoUJx&uRLwAwwj3tmmNZ(0V9qGx_LQzwpDETwpfk~FDvHgU%r$?*A501v&EP89Sx zS)i(W;&?AZRM$Q%P9=LZC^hQXf9buP^1Q0wX}znq#iOYhj)hg&>Mk9ZOv;|KTzpk5 zjMv*=bW$#@CRyJc?5UiSIl8*<{Z7A`_Ti%~%HzqQaqvs<+KLpNdofjC@D_PyC!L-! zLr0jU-5y)B#h%Z2Hd_LkJ!|TE-G|WO*MvPRop5G(#d7mY7SH4r=d5o7`Si8R_QbUp ztksiY=z0vpM!BHf_^mAXZ!eShPnS~y`fJiZmo`dvcI~vSl^#_6mZZbFw%533N6l@= zb-We8X32|jH$`BRrh839Ryd~8L6;JVCXX|$KAV!@Q)fGtl4m=k#~;2RP{vAFN~RZ8 zAdWL@Nk|-Z>sIYDsd~q5?OwC(og1<`53N$I`}`r?!>#tf=Vo#gTdT{FNJ<^+Lrm}K z>n9x(E9&U5X6;sA4Lf7kHn(lRQnPthy3cWppJY#64Yc31=8-HQJltYln2vcxzS%5H z2qP#^DZWZ`D2kTkjw+p2`_E`6Vs>=fw~uAtK^>d720@ed9S4Smb&fg)=`JYP(s)Rfg9!u z1xplR0O5Uf&-Cp-S@wFbEg{(G)~wn-P{-V}L*;3|al`iNS8TWbqV2a|u)V=Ewl#dh zZVo?SFLZy-Ug-a{?IeD|`peH+{M?qMFIBAgaKlQEcCGl}(B>~CZ25wO-dfs<3j$YJ z@%(Jvj$>UZ#5n=9l5svcVi<*ZSlJeMs|oBS1=0XA0P?o&930uc!Y1eAUcYKvoG7%f z{OS2xL!ekd8jpWMLLIM9E}Qn_EMW?~7w{@WsCj|;f`nQwBjAw9IoJS5;bBmZwT^%+ zmNkntnvI5(xCF2IF>Il3Y~ACI!1<2N_S?3YTC_7O=k46ti?*_|E^x~bT*>$BWdF_( z!uKNI1&Zbb7Nby-B|j%nK>%EoN{bGT`79I4i+;BI?J&RS@!fA?A7A=3o@7?jvKSIz z$NcWF3Oxh_7e*r6y)j=M-SC?HXnp~E(I zzLCDlLXQDB7XWH$=3K(hF-r(=B4;_-YJYoA<;2S<0E>K9nE);Bfsw(^C;Qq0j`8>c zcxO4LNdEw^bpcrbai`OCdA%ThSSZiC;e!}v*mb0OXTMP7b}BD0EuAq?yGXZNG830k zH*XI;eBK_GKAT^jm!UXo2Zvp|zPV@DuHO=%W?$!)9jl_ps@?&MQ}u`Q!RvlPK`!4B zs6l=c&}V8gWWM;~?(jwsb1qq3&I)AT@L%=8v@#q*)UoeWp!%bnlqwu6opu8fuO#y} z0iKFUGSeLJ9ExXqGNv2-L$x8!6ujfoL26Itc_Wv&28NCKx(Q^gK$mzJV2i3GN?~>B zT}BXb>?j{TQq^+)MyIxWy8>Zbs!wz^nM8k*mg-zQqZE{;vPRvXAP&|@#Ebe&sWJ2( zL50J3!-JaQyN3@ zJ048t*ZWCoUDcE7j5?{yxT)59c2rXzs|#c{TaJsG0-Nkb%d|qK<{Xb?jHR-cDikf2 z&Wo)Q-rp*c882+#w4-)iIim02XhTmaVKFGqGsgm+JMo;#rDhh`oVB@Z!sZpJEeg)6zl7Zgd?8Cqy3sa`=J-Ce%N#dV(6C%>I@k%8!lhK8pG=cN>y#>x=Sovjw`&_B0v@P@heygQ)&!FzSQNhP^)Hb0m}^*0KJmOUmzz14SKx z8+RA6rz(NK=PS$R+uKHEG&(zfM1VD#3#HTx|U%Z>l z8ET9FTKZIw@CT%PE zf^Wfd@$5OtJb^xe4%}sve;H>&To`#K>)FsE4snKmNC1PJsS>L7w%x7TtxiL-VC2d=Ej@f= z+XzTOUtxSB%NRw#F~amX6x3F5Yex_#}+7x1P_4E@l>?#j@D;F!h`vZFcOOq zu3o-jFTQZi`idX#4#W}>-}_RXX0FI&Xjx#&8v>tUbUKO)Nm&_@K;Q^2j&x)7Wk~{< z6IDf{wQw*dYp9WB$0PI4cB?zg`M&Y;G`4!s%kP# zRH}>62?E2#VMfwHeoU@=UFcaRha(sPWqu1`phn0`$>k+5M#?YX;&Z>?3-2q~?DRM7 z*3rL^LX_n-x}^@Wtb6=lFQrHM5tWT^mW!vkHI#nT5W}oUIzF_DEM>NA2z8iv< zaiY-m4#tij6reU|-#>T{!HEGzK&eAs=c;S0+MsBpOdP~B`JDO;O45ZJ!!|SpX(%m* znFeE7ydzfWV(~U4Fb=HNy(z(V-6{fUNB!#(bhiXRH*K%^v~Aa)vfbKKwpD#X;r+UP z)htuDcyVCqlK8whW7%@tGKGY|9N;tb1(ig+j-Zp#Cvez{39w429URqs6K&>UvATOK z9xfK<1Q<(tRzkj4x8w|y(seCYR{4^aXEnR{V|(|e?H))du_c-KI|$vl%`b2Gu&kv= zRvqqIU4kpyOIk6p=!-O%=gi7h_B*9N-W^c9_qrYhAL{d<{{J!o?;_7+^F=#-{{HbN z^z_YN@jk~eF!S8#Q|=8GU(lH_-hI0)@qv#VxhE8(8eUPqgqIldy-~A6h4E;{dg7B- zzavE?z7+4WWsF`@oQg+ibf%*>+u|}kI~1S6yOiGnkN6y(bQww?(D!~~#<~I-mQg&J zn83c;Sl5?jpsY$hX4N+9=Py{b*>WA==l$#5N~LDodsWGLWaX@`%ScgNcsVu7EuAF>BqnZFP=pci1pV z7s<{U@pH--;i2c4gNs9#HjWGmm!-N!y`#(M{BZ#`+TZocB>ds8`V;pZZ0=lp!FmFl z4v>J!$ABiu2^>nQ_rA*OTO6^UB(hZcl4nM0i;>!ZmD@O8xX)A&4iU(2B<)CYs>>Wp zcT%X_(s=-JMlo^1* zjB#K_O8mhJ^MvFH8?<9=p$%EZ&Vsgw^j=!mm@dH7vK7g=lHOBOFnq5*MwtZ@t(aZ3 za{8S3VNLP8v@O_vtBDLA>T6wp{G08c=$zq2P*0D2%}CjX<5V(PG*5Kx!E*{|2^ zlq%to(-(Y&u5S;7$WehA@^1IXCctj95+3n<*#>IZhAeg#FaW$-0-AUSXWXTYKvaVb z^(g^5kO1v9#pDA(6c&tPR%Tpqicy|;@00eEKk?J{p$|T#&Ms?*Emp+9zQ30KXmHiD z-ecZURuwEDs^1Qj9TZSvZ=MMgn@@Dcvxx;4Di1ILC=0;J26MRZw6p zUJY#K0MbF0z7r42A@X+ zzbQ>RF#wgipgOpUz;SPd0`qW)ACT$_Mt?Z@@ra^$02S07;65Q9LckN;!$F~lm-vZS zf(`x!44Iw}c@kR{(J_)iL$hvKfpibrg=3ZAd|J+$?+B;vq(-WzFi5 zuTbtZq^O&9wI8e7B^0P9$`5m$2pCCs0!l6fyeJ-XuSo_T ztKOKjz>xB>H6(X7_x5aaci%Sm4{U$XvbOX(c>j2wwK+1bDs1gP!sMrSju z0_LQwnDrzD4#k6e0*CG8taVqj))Cm7nM>KZ3#aU%3+whp@A*vog3tdPd;Ber*x3u` z1O$twrnFo8bsqv`aplr{*~*e-nZyJ%2*4%TMoeY#p?F=#(4Q5rWeWlu>KuJ3-d0_G zRrza)w>m74!1|MN#i&JzBWDm_oZ#c9TVGm{f}V5UhzXoz#8;(!-pY%MHZITGf$HhS?Hzmm$~76UeMy;#>UHUr3vcvs9om=N;7cR^9#2XICq z^nv?JBNpR!TGp&reS1N+SHq~L4UlJK+oyaW$kZO}rOP^lW7UJnXqZ)7`0mAc8Wjo) zdF#g%k7NeMxR*&4fb7MK*A{5!xZ7~rPcR&O*Nw5jx{Cs)YoOo71JcEVA$x8D;#5bv zos3H-3xBv#@5a4Smw`^bn-!I>veJ}+GU8ZEMJE8tCj6rz`bxOO3JQ6}56%E!mfhOz+V+0iDz&b)@M?NLV2T#l34>7@VWMk6BPD^%lni~Q z3bfGldHKl~QVxDxNXod2UCDO7q#njza*uM`#8KZho@D9238!guB zj0DgGBvoTnI7%61%mj4+8YiD1Y@~Kv=~3Z6bW9Zbfv{qjhPjt)2_w!UHTQrz(~^#U z!$c@i=AvoAO7k4^+|Aseb*46 z0w3zczO{<(hv$P}^V;Pf@2Wfiet;&zgmh3Ku0*Iveyd)5!I;{bYt#UrQB8V&Bt3(` zm5HVsC}512;PrTE@O%1n5Xv>m<`j&osGZ0sVuQF@mD^FD>k1&YyR2@mT3vwjsJCUc z(PgWTpSN!Mx)kZQrPu3LI^VP9hmLLSv6yW<9=Fqvr0mq$lx>_&+Uc`wLzB1SLR@Uj z2|ve{z-ZIoQM+b4M+dgEcVxAyK%)8^C8cZ~gsQ+Cc_e2Tdu_ZFgTCa40RF7&nUf)U=EODC3t{A;?;aRN z6Ye)5CnEB#j3&DRz#H%)JnHA+OUZYcg2ZW30-$PKmoqG?$>y`}wOf2(-p+i&hAo_0 zuxO7%=72KP?Nf|Y_Z^k-sMWNiLDQ;38C;ZKX~Cx~Y{59jxWNcxw*s#h$t0JzN|8CX zLw$C{YTZoS8s&`bmlC#R^B5?5al zudBb%e{hrn4A{ymTVQ8}gv*GLgz2$v<`xP9(gkJ@Sx<=7=gKP=epWihwmzjT8Ez1M z>3LkKS(R1aMm+%_^-VmA%>86X1@d0oQ<)D1n8d5KMomvD?POMRD&>8J`efQiDwk7A zY8wHpm<*n{03^FH9H(+t6_DAKvTsPP4Wt(in_b(jv;+dwM*U+ysf?|TMgqBDub9fi z2*99)msJ4Fb&87-|37qDJ*!Wble$g6cA%*Y0klqrH-g|p7PaEF9Sqd|$CB%+5B6?k z`!YP{Xk11zlDftxlFqktQa#c4>AUnV79Wn%9ouWluoNG*+rc=+m}gpCt1Y=AT)|Wq z4$W|$P&|DZ3&$hrVF4ZUC249sJofsA4CVx0w@ixR@uE+aUVqlD%v+ZMrLtE6n1?mntJDQD8@9RAuxq#Kc73~HH}_k%CEhv^Z?Qci z+ZmA!pWo`AsvCGlIq~}Dx*h-&&xwzbx8NHL0`}S6KG?IW_?cs`d5eA@EhgrQ7g7I# z1&9#{#3(^pa(=Opw$+6-%cq#9s`4D;*r>RJhW8ZBYoZ9XylTRGnT(|+yd?z0jGX;i zkk!pGl~CwJWKBedRQYNO8)Rmryf*B@##uEQj6=u5lc++dW!ZGQ-l{qXV4Kt;EJL3U!_X1K%R-al4FOm+5S1oj7gaFt<3$QXRlFw-(7Sq63QL_@jf!Z- zjAC^nb1-={40-SZlgX2oSBGGj9`Z)>Oelzag0jlPiu0}nO;6U^Se=EA!t&mj1XnDT z@vTJIZopSIt3!5Lb!#<_6b&b9C?2+7D&>3_N2OH*_w1<2d_JYAdQg-exiFPiANlu_`Sfg{CDy>ec?O{&XDKJF*c z**LX?w(? zoqsfG7akL+xHw}=r&E?Ir3F0Ichs*t0_$ZGX(I!Lt`tg5fRQ0IcmS{gVbG;j zhp|N0WUu?`{XQVIA~3XHvqK5sqay)Vz1!^wtTId&fkuIgdj^5X(Mdpgub}4!_X>VL z7_;}2@VL^hFhP(*K^D=UkZlCos-KaZSu9vz;HlQ?Oy+R4Z13RE_vBq0Jach#nQZVBNjbyAFdE)mWG$eL;pS$W`IU;N#~kr6^gbuB$Mm2qa$fBP1JU2Z ze!wvYoqhcVcs3KWwl9ovSV&lNUO;5MXm9(J$L)82)qCs@e#2MVyFcgCth8A61x{c@ zv9Lnm(To5tN1Bo^wpS`H7wpXW4d3o)MnJ7w?@D%ZBryFV@H60*?|9LuE9R!ArDX9Q zDr0smu!)I>!J8H+&Z+){X}pEh_{(q;U^rn@M`afjfFynGIEav zY-gCV!ghkv$ud?_iAC`lQ-G9*8Kp!2R7x`fZAx9(CTp35?mOsxX=AY2duMQ(XbIuX^6J zN243<;7tQEp&Il>=gQy58g4D=xLW&r1D2bdA$iV;& zG}`ww^}3 zqgb~eX@+%m+$Ift+c~#_Mms5-;4knG26v z=tSm38o>yiK1ODYAsie>uh)WzRJKif91>Z@oIpk=PUi z%2-6+AwwE%-|^d4VtOK^?;fr$+-fDvLVcAQ(b7xxJ-cTbi&czeC9tzuHZoJB(iR8q zC0NM3P}v=~O0%mDhH%Uj!c@Tk%upT`TQVjBF#=F`+AS2|2xb>poJRxYt+M3fFwpsD@F1F&yr^+G$;;?9v*^cI+JGt!8CfD zGi{zLI3;K(jO+LOwtPT*&H`4)t=S@}0bImbI{ZYQ%slxG)8Onklbsb`%Y`OtEd z?-#x-bz_)z%^9+l)wq1O0MAL__w>D#S%L+$taf9Sme4)`v>n59K;moR9KuZ2Mb4r@Zk@Cb`yVjRD*}bWjGtCys(cOxCOQ zxW2R!8%s;E!nF=I+=Je7?LTws_Q2FHcL#j03!k^pSqFfwg%{T2=11vyijYp=W*x36u*0zl;y9co)ynGNe& zmep9_aB^5R$1z)L?%HL@g{)^QIU#5Ukmn96YfF`Q<;B&w!#l&nc5FX-5^ufpy?FTO zLC%`jInp3M-QSDdz1^HVF}!fe8uS=~bqWZ2^8JVL=sORhv)9fZstdqLb$v5d@7#=~ z+pEX{PVEZL^%4f#HNFLh${(3qIPq+2n?;r81m(Plp5)K^@Ot{YOdRrek>_dnSsb~< znB#pDfRQOOudTNJ9b(}oD+VHD!;YMan3KXb9U$A49sB94oCYqOKt*DfRwF# z$DMBMx4M8B8-pAw2FM4XDYMSF9-R!}F^5w0;q5UxTViSdok-KomeUJp9G8G#$eY8@ z$a5~8IKCvE8PW#u0`DP(WLXi|(~fpu@sUGisGh zZVHH>uMdFqML*huJ!GeoPMb5y2b?<&0mShZXgY&@?*Ja$F?3^lZxoMrMzMVWxYV|f z9n-6>v{3*6NCt$v%D=<;v=y?CvYSJIz#9n^4a9MhpUcy^?za)${K4JH9`0@fVh_KTnoy*wcLoi*Y3nx^9FXs*4~Tgj*pNN*P=elylAu1 zPE9!cuRA2`k9Fw%IsQ;&?P2Sq8BuW35OY?^WvdcK)p0Oc66&dY-i^8HMSS`bABlUn zu4UouZg<>(9dKhRzuP&?P5V#BW!)_FVG=jN6n`>+-e0Xz%{|eV*BdA>XGK$CRIV*m z0?z5c`?5E=Rba)yr~*2H28=7<&=bh<72M~8&jj3WJ03-E-f}rp(Q!W0y;_Yv&v)Df zW)^w~K<8u>n9JGZPEc}8h_mpm!d&`5F6P}V3GbXatE_{8?++-wiV2ULay3>Q$7Bn~ z8K8TJ5ia9gEQN2+2rvl_^3O75g%@V@n4XF3=PXtN8x^7T!ViSA?I*G5KuPA!m)Q!yn4T5zZBtngPrc*&M{e)6Vr_Fa?!CMg_ugEN>n|=wt!Zmh z#0f?vCt;EQTw@mF;Vxjgv=7F4Ts?{YNjG|c%i*z37r@092@TC?6i=US$Kn2d3^7Pf z8vIeg34=cz{8kCBTJdiR#-(h-5}XNo)yKtQH>wzxZwu(*@HvKRXEUT z35?07;LxR#tmC2&(Th~SEp_|*M}VjXPYb))%37|?;RCx$VyrO)}Uhv@np zz}IneK2|^SQoQyHABivh!LP=D^dJ0T{PwSWDqg*NBgf$n(0lHskC?>zI>7M8&A7F; z84btYk!Taz++1Famu@V@OLy1f`c2omtO9T&T%|a1FdjX465smnH{v_r|7IK>x@WWo9?%Z2_WO3RqDM6X(5hb5b^)ThCvoub zD4u-l{pdb?8WrlSvAC3L+g`tSCzkJSMCE!V=9i$MZ3DdP(5!{C*=SrWL=B)er{z{u zL1e0bua(J^*VMnts6(`nPZh#{M~-w*;ggah^*NQ4`X0WKak%Hh%)ggYT}L6)#&BOP zc^ONsM6kZtinF*WmN^zQX4h>bh0*N&&dJD~~^kuS@91?!J!U0DwKD+|U3%6<|7)FhQpDRlbx@>6rKR0WhexRl9ap9y zOvdDxuDx}s7lGH}xSV4Er(4s#`TDDPx;K+q1X&s*Tf@d~e^j}QMU>3B1A!q@HucK7 zq^)6eM*;~vwwsOb!YWZE9o4Yob{sF`k~~fZ5tNxP1tGgLNW+~l@L^Ip+SEQgf%*83 z%OPc@Lj0lx3eeQMsaD)Ap~ml`War4Q@pB0!i%W3g6g8UTbjBEp9RGwDfd7!pSt{7d z(Ws9Bk?rVUa7)V-ARR-nyaITxK@aqvitxZz3x^1t!*tdsL6BF{f=RgTnC4vL%}fx; zatZvhb|x8^@&3F>>d%yBa9ieF@NT3 z!UI=*ByFhIqWH)i`O%yzWac`@K|wED#sy&6@~HDcT%SV@-XZS@l>X%$JUBP2BBc(q zOr$~N1nztwucaZ^*>YI)Y=&&P;9eSY1)O}zV1;g`LmCDFC&p$92nCvg0|AIFK?xj) zpJgyz(?`Rr^h;}OseqIZ;`oi{kLhzW#jD21d_DU<;fGs#<)_^Bi{PO293EmkWl08Myoh|Hoda}7%rI7GwPf9o+cdK?w#S*NV70lTub9`oyf zl|^L9_sNgLv7&z-i|3B-cWE8!PaC1krt}#m`RA}cQ-2uGNdKKVlpF0JI!0iR19JjE zJclO?&OFaad}%9-E_JA)c-fFWF4&vX%6S})c4F+l<5_0)Gxkx(^5inyUbyZa-T+B~ zi<4;F9S47sYg^r2*$};QA0Ah5kj`Z#^-`v}a{a(8` zWu&R)Qd+dl4$*PfvP34NqYbf4Y5%B$`rLWkxwaWwYq#M|@EgwuXDz__A!#}06&;M8 zeWr)={lETz)qlLha!UYbY@7XDdI%yo)=^O7e!jLCY2|HpcgC7yfLw2^PKCOS+1cDh z?uYy8i!a17$|W)Cvq zhrn)GOBjnO6kfq7WxRriOruv^BF?TjC7JMM2Hu zJ=t8Jpv!#8D4a8WXycMU4vfwcd7H|%)xd>ptt5r2*KGkdTd8O?Fpd*!;EiX?1L>Y1 zh`p{8EvQTwGZj^S2GGKXQY5%#vHZ>t9+Z)rmS>SXyWOB?MJ`tp;C+V&xP(W;ArUAA z^HG%H^9LV%?(kOv8q57Wf01TRuu|J_T?FL$2v>KQKLPf%+Zzm(0UMIP-BR>}K)rkR zJ)aBu_~H9iTmJxn4xf;BxRoH!G|IyDQp+)AehZMsGedTd^N#!^|M*)&_LpeMcLn4* z+&~b^?-IxR`mDtO7J8c=>5IcSPk|=4C!xeCV0RkIyU&2;&`*^Zg@Cvmy89hIA%SiW-_>vt~W z=BtZw=Z&S+=1MG88?j*v;GH#`0~heG zLUS~QtU>(?cr|XSxPx9l-UEC-Ioyx-pr3r=GG~t4U*tU}jhyyQ;tX&$hqGVCGQ&Hh zGlYls(EE=U(K|2Sj8A>`6Y;rEd@Mfk^2_n+%^PuZZ9N*=2fpJHinjPt+$@JX^SD*( z4D_*|D95{7N@!-QX7=z+b zoscJUnPnj4QDoNNd6LM4lxe=>1M7GydmqT))gJ;z%jZn;*%_A=Lf7e>S!Q_c(y`9a zKpmRHg{T{sBwDOaI~NXNtBGOo)y91p^EFCF9A9~}Zz z+u3qDK;N94YM(0TAAl^t(ru#UA#wtr*c&s>U8EN01#wOcdR|W`598>LcjM{N!`L}I z%n3jH2ex2#F}9`6lex20a|$07XJamGD7c!Di=#R!M~*c*$4@vR9UL|zl@l6Uck zIyxJaU=4w#GH7t+^94>1P2ofDpiQKcv^13wjRkTVC@pGR{bkI z%hqIGCrrzh1BF82wzXDDC`^KlOvo~le-*Eu*OKf0p-3!~pekEElT}EYG;BSP@Yyu& zyBY^1)`h}VXm0D2N|NUTl=k7?eqJ{k?z#e)Mfo?E8-QS2F3vFyqude6GLYi4!@Q@* zqjK`&Dh2MTlTtBJPIG0@P}@4TfZ|3gkQWu8e_RvSR$jm5WPvHT_H6l!aPu9me?aMZ z&L|T`Gjjy_A!z_37XbBquCMM;;a90M_j(p6Ch#QBZtYj@!M7?$>x{EJ;X4U3kv6-v z-48jt(5XW~r(Nlp4$q9MVJO|`&?XsHC8gqUyj*!+03DQuhSrZDRT^r1rv~L24M|fX zCe2~kq6|uy)@=chhAd{eHa~nY*_Swe+j4lF?-9H%-}4jYdsfX9Y<^vS@=o}9^c4IjAAO?%ykJIKmF}J!M^{rOic;zDQeW)HU ze0Vu-zPudOCVF9}g0Ze*lmRHn(unjN+oXFo2d!r@J_R5WH-Xl_DFDQNApEE}h98di zL3p;v^A#Qou#7;*Nf8Aw=|xya0{zm$H3gjVsIA<#K&ngSA3Qruuv~*3d~hq1o#pzmkOd6QxFK zbJY7d+WlTSA6=Id8#&evP{0=(*Vbd}_KlnkF9*ti*%(1MC5AJ z>^$*@XSObWCnr8SHd7#(OL~zjZEtsQOuak7u1p$ot?D-X;kZy&Dai54J<@k&h#YED z*7m%-ti;)g4JeKtF7jla?1t|R4`ciA{dfW&>>jk^>HaXD9*pDBE+F&hB=%avY{7KN zuI$35-tGF%YeMRM(^QV(om{;Mh{!8WwS zS)HUc4dw9dzy3fA{CLN5ts1L%R zHsa>B&Dh*nkG0j+*jQbQb*Ih|m5SK12H0G1 za*@i8GAa0Js3DZg90>Xxm+1owFTtH%J{~yEiE9Z=P&ud3O$s|s1i@IT#I-w{asBSi zsG=M+vR1r@N@`q3|86N&d2e3!{`jSUQa}-^PRRZHI@9EU~48GA=Vw^zKCL|M-wHvNM208Fy;jKa1@XvyTG)1 zO59h$<{xy=7Ch=A!6s$+SsletTXuot2jDXIk@g-%a00*r@oec;nU^|*c9sW$%W;&( z=h}4i_zYQvypJA65Cs5$Q0gpyV?g-_El`&5higgNPM;IclINhyB#>kQue>Nv`rT|P z&F`0QlM)KE7$a_Fcy{=E%Fjei(5nGROXW4?(kNswzw)Oq<-fv{mYRCAep9K*T=|s$ zO^3Xb@qAySUcPC7zxZt$x%&+7+Ep`j%+$TMPt7w)*7{G~c^MER~jV*=t*z|_OIPP@-pcw7Z0I;M4tPY(tw%Lr+W%TC8QhfC1J`$h%!q3MmuiZmWl_3T>!OpU(;{iaK7W9w~ zF8iW$H*iNKXkZJQK=A^=IOZERM(7NyBkiVjz0C!FR{@-wKzAL|d2do)<yBy z*XuF7Jfc8nrO|`9PBu9^T_DWmiU|vIf>prmMCXmi(4NHAX=-O`82jzgSJs=2HuKps zD9vV^48(`!LC1h**S!4QKZ|b9yjLm5EPU-+%JAz2;FB;sodN9HRqnpwE)j$*wA;B= z_Q6p*yYWY3zCpZ^Yk50P9H3=zZQAZvlGZ@^Iwy}h zE;#1u@F_4PuL%;5P%g85xX=l~3>Q#73X7JjZIx0Sw`nG_|bH1+**VeDs8nJ?N z*g}r)@9qP1dwkz`euIel1=Fwrgmby&=aT1&UBm7XmeIjCHa25zc@v$Y!{-9>`?-jF z>Y>ahAQGpB&cdfePtLD@KF za2~}|&F)%(nu^iE>hmz<@>(^%@CzS{&wcV^sgxvO7Kaj?Yd`^oiwzWUMIy;SFuKf` z3V>2_MrI4Bq$0BGoM_U;C5VzHmqlz{v^|9vqU(`u;aPv`7e5i7{DqIi#^zc{3j$g( za56v1Ct$Erslxm!EQ}#}_uB$Fl}s95sCYp|%>#<7b|ZjH5=08g*4CG-GK+XQ2V;tx_foJY}>#v$chSSziT^Ao_eS zm4L$m@OEWVfs8DtGIC;u!c$uGh-cvGl^%RE8Gw9hb9450f~`U}6{^F$Npl_>Sjt{oHc`te5iVl4IFLj`4PO`^jZ5F6Mi2SwT@PZpY=q zLyXXI0?xJdi`cpwas8#4c;U@zyz=4ISlLA0c(#CpsUzeJ_LPJ`gl z8MHZ*_J@MTDFe@^LD{+Tqv`m}#azLowg^DU;Qrt>cn9zaksSl6LzHca(ATa;^{xCN z&87VmWM)@8yy&&}HR>Kd_m~1Ae+v+^m5q4TqqW}0m>vQY_XoY$8}#GJ!G0Pp!QCdh z>GtMEtgbD``pOb@SI>M3-qZ`Wo>>15OR}M$1BiWacof^m$LO+tI(xUaZp6mQDo#d| zvY``rFB=8;_z3;n0VKF`Xwz5X~3Mk9FrG|8yWm?ypZ;&N2#>oK>o60@sI zF#~u_apJv+2$kNrwDug7-JY;wqo`BkWn9YnT=>}>d|Ri6dd(JiXk0+I#X*;7+bZ(0 z_QM^+>HwU191j4w4Pe-si^eEU=enc?4n?zSu>v3&;HFu)2mET4e0lRZJ zvZqiThAomPX-E0iIq#lO(c_Z~>KdJMSqA{xC2cpfyzTane0yerd*q|*4m}s)g6IiA zId=e|!?8mz7UQrzjNPL_9Cn6r)EUIFjs(|F0Bi@XK7iE)=N)>{1;Fjb?(x%jvi~^l zZ@(XJKY9?~fA}cgf7*(thd5hqLNJD>sWDqKl`(Di8TQa|@7nGJjD`f9#R0T|O5T!2 zMW+@8n+^=+PW6;D7XwVN0J1|&e)B&xx&=7YVciB>JRvxN+lbn&OqaB*Gl3@3%Du@^ z7!MM||IoRH3^=jw=K2lr!>SyR0J}XrfbIiR@TKxDhrIACbAN;5$KI~;JMaDp6|)B+ zV2p`jbi7V_+z7R;Tjt?pG*05F2t~+xpXmibK)a0{gl%h>EkbK6c2Up9)9qb64%b(M z0F=Nw5YMY55^U)aK!9w`Qi8ekBv&hrQ&xG|D5@PPA7wL47=_*Kcc=yC~*uC zG@K4k@Qcz=gCdhE2a~%=M~Rc*9xbd#JJ2JBlwYOYhS6rt$gZxR-P=D7SGFd}b8V(hz#~ zt)xw%kMYa$M?Sx#?g0n3f?`z)ceo%gar};H`5~1>J~L0|aRQK^>#v@R`_ zme<1=<;Z*aj}#|)%yJnlkI7^xX+QVsvwJ@nN`&&PTu&eRXAa6I3m7Tgo@YE(Cye2x z4vyqLa?^|1+DX)wE~2qI7uBW?o2??q$J&ip!Mk=Wrtvnwwtepyos&>TCY^B$tV+HvmG^w+2Q!tADLm z&(p)})Rpj$D=VlYl85+4>QD59JmYigBx?(v^iPI%*n)dlx77#8@agy@_x*O<+?aUo z234e^GzgUX*C>()k{}9tbuL_{O@liiw0nbaDHwN-+ORjw?r`4Ap)J-ec{3lfyt>!n zJ+2!%uFS+)jq)$)=%44XEFCg|W*xA5^TsX0owPsg?r|LN@5f2Ek1mClsCi6G%E~E; z&DpB9v>2zPGr;B#x6_W@`(vbf*zJ zqj#b^YG*n9a}7*sD-dkd7h`?dMh+)I;s}t|*@-d$?MT}Ri`jyYjM_UF=ncnf_Ie%c zyn5K7d7FTtPEH^axY?RF$~7uoX}}gwG6a7KzWU&iezrIQN(tTGW%T<1!(kcgNA{jIqTyd$AVPdA@N{_}H1|`^QHB&YfIV=n zi|#FQYP}}lBR|TcfIWM=_^s~F`1zmXW0hs~muD?aN@;@EGJ`#GT&nBL{@ly2#R_`t z-JSg$o4pL}PR{zsU7xfaoTTi7k$BJVm-;Nc>^E!(X`mlB>kIM9jhpe&S3VkdufLjg z+!}1he(ycX*dnjmMDw8@f-lqw=z{@ty|ea4tl((+n5K9sWP^KUSBol{Dhe`%iTirk&H!@;pk2DAwTAaQ=#5|mXPc#X=X(;w_p+h@ zHVFjS!^kb~iC^#;ml zDZ!>Kr1O`8Ok2oG%cum-9bM3Vwm7)u+5#S4b@fKf)|XS*aO7~}s2o5A?1b_iMyq{9 zrp_>=8>H|4&v@q51#)s0V-&Jus5<1M>r8gR68SGIR?3iohH_;q8)v(Pr;~mRB~O+S zM)F--cPRs!ExUH-A;uzk#|-5F_VExQ(G{FM%USR@Zfx=Xd@e_FcA}3~=$u`qBv{zY z?+Z}8vUsIFBzCqE<~tJr%Iq$bxX>@tV3 z6gn;`K`MI{g0~ZhrNCPryWgR8(pO$DUG(z!YuL(sC{Nb;Oe35W| z(iogA{`1H5o#el~Hi1d{`9Fv6WtsRg%>|+X0PlRpME1- zv`g!?^t?dfV}Joz%C$15k=FpJBX!OfFv!ZG#i} zp_^|smpM05mh2io*b{6HqS*w@N>-Gg^jSF9zEmS>fK3uVLI1it+)`r|zMlhZb|_m1 zRydCeI&p9~%wDDWMeW&K^tvZF(R}+tYVk+DE}PWN3OdkLbNK!OdbTm1jn&Hvby$yT ztx1hukgsl>j0cm}D+}oR+5>4=g5x!1fl5W&XdQi^Tc^j*0&G5d>zgs^chEofH(IC3 zCX~0-slQT}o}U4LPB3eylt)mAOs&=8tl5se!K3Wn);8M+ry<@(ljn|c!*ut^Yg2uy&O)o zb=+@)!E=Bo-@tzYWG>)DED{`pEEp9Cp8_-;8!A45FXz`|c3~y@r#vSOCo&%Q`?1?P zil?o;IKWZq4*P&OTP{ssxsWFQ;xJ=U4JMh|iYXX1hBn4L=MaUwBX%kAlpk$8n0z zB5R^NL~XN;#dzh-7vnd7_0#dn3%B7}73!ko&PtoZkklF&Wf)QY>R?tVSqKTC3wVGL zNvnwpwbxz06|Vh zg=x*ZMRyfr_tCaB$zc!KC~CF&Opd{v9sIV>CK&qbg0znb%M(VspD;(DTb1C zsCU;D+~wV!ZWklg&#|H|?`AinPF#a>IY!hqaBakJ>&ixR6~0&v3`Y#tmg8up7Twh< zbq@eI+KI~XLA)|oiC?&TFFyIkYZyGY9t4D<^A;)7t<7fKUWb133(!U7P?cKdjRW6t5O~l8B1D2+>|Z;iZiR8p3pht@@o=u*woM9$Oa8Qt&K~k2Hik56A@6WEWKX-g4;&5@^fS;QH z&MFRGjr%qDbq=736N7Wm8`!c9!0bETvUG*-;hY_FzjHbtZQ>lk2S?=j5PWdR*bf`Cl&5Xlb%~>n&sq4Cw{p? z#T*X)GHGprAC}336R+CQAMaDfVU}UaiI&R$EpNAX65oICNpx{Y|GGn!@?#xV{@UtV zGMdZvxIJ1fO00*yYzu^4t~m)6OdSab{!z;l*3_g=Xh zzxqp`jV%<*xh;!;J^cp9Z@R~7y{X4TlCyRdTS-#`S4fc+%A)bRi(w{~ zQQR-Ra5GjLjX2oZkNv0nlplqHQS8X;B%XxCd zZwr)!(#$oDprkq(x3LwGw zxiEXa&pj?|Wfr(s;d7Tmsp81E{a-o@lei@x3bAQSK`7Tev&9B|n%(O)c)7v*Rj$i@ zTSEc4_6nf<9Vd#e$oLwFqE@DPDIu#V?|$&zqS!19&&s1bp1=0-2THKS^(;Niukx2P znqKp6(#h{lLcT+Qb@C_*P|%57!e4ejo!Rar@LV7)w&J96Kf3YlXkV1j$?z@0H#4*^ zzCrN%8_z=f;x8uQ>-_$Do=f=iN%*s9ac*(;x_$Ar=wE)XWaYB4DZ>>rFr>j;gy5&5tlRv(;?j z5NIwSd8s9X1xkhvwKgk628e{ z4E$C`a_ABjsxdSew?CPU?ye<*PSddaQ{XubIk|EoLx>-B9vCtVJv#TW2k7jyamIV- z!C?YVd&3%l>m_v3^3rmwEUj{0i6%yM9%p?>db`+^hx6yLO@Rl{=7rnWDyO*A45pPab`U{%>E|KyTz5j`GsvCS=Pb!*U$&aj&^*9CHxBj<~#(~t>| zQZAh91mPkW^`0`84>OL3SJS#TzAe1!M^eqW*_#V*n!Z6kH66bzJ8s~RxpB;KrxQ)= zfoNbCFnomLq+@S9svtvleQO)d!{o4?Q~Tj+J8R8#bj(^}xswZ=$`Q`_>GR7S`L1c` z(At_bACI4Q;=QMP(5;mFuR4D0ZuCdn-^2^-P+)S5#HmOU*iAzMJTgMC6|pP;>Ub>~ zXg-;Es^D@wCk9y%FfX{_ehm=z;_X{_r}cR9WG6cPVYWg_AB|;pWuqkAK8$3gU{Pdx zMbw$qcg-@67kz)xmrU9^w6LjZzU1Ar;UW-s(BZ9Jt1FB2d{b zP@k>1D2X`$l`X7}Z5s6kG3s<<&^qSafyu_ncs;!T-KS4bJg0GOZ41S@lJA=bxAN1& zKIEOf;|?A-%89a((WI@A#4-p_%37rWZTvahxY7TBU|IoRNS1h1D$3$6t zexD*RIhb08gN`l+Z)>E_9^Bu~aEibQP;+KHj4wT^zr!^u<6jtM{5b&(Sl2;uy=_*&AI>nWHul3A6%9nYsR%5;b;h|`hM1e%V< z3RWhr*MI`fWwyO}^*;B=uE5mamZy|6bK{K?k~us|UZ&-rmg`x*e&Ba`+kC?kq^|)j z_q@(eWHjF~&GNgXpQ+^&m1cVPNw>*2$d4_s7p~102QiKv&OaP>e<+~r2&c~i-uMrM zgGo3r^PsLoZ{SnI2>iE*uEtY$ z(ua$v+v_t#cUd{=gS?7*KT*b&Yc8B94wua>9`f z85c^g4&v@J#!Y_UyU8fAoj{nCDm9jsDIzz7|LO$P)D-KW3v*DM8wB>t7ad;$6jF zO!#TW;U23C(VgFm?ins>Sy}OSH@4Qqy6Tt|M5(ITSPCc)vIx1Wh?G%-i~`W z@5b8NN`lS9{sRE{K4mZXt#qGLKlZiaV01g@@yFk~ACLF<<99y&8}Y*RJ3RZ#$KQI) z=F^AY4A;1FhIa8l1aN|<0yax)rQi=kB>2H-O4=f9JeTkYloN!UO{g&DG6w!psTVw! z5ns4=3+1{TZ@>R2$NNmZX^p3b*lzLh7{qUjm1v)ePX$SS{I(V73_+EnX(#YRU3f#m zPU20Jr^Z-M%f*h3msNoh2|U&~R|$AuC23dt9AyV=CTPu?i)T9qIbMXb-m#v(trfdZ zU5{;$voTkfS4;O2#)2GY**kb42S>-b=xfr4ysA{Cp{<#=hRIZmdFDCawR_qfh+H32 z_)$fX+T!d)tf_Zp%k82=3COoBo(SP07*ZiB6AKg>(nFAB+-wDeF4B~Tyn}GeP+y>=FMs(D;*B@1ZUV+|bd0z4ugOzU z&MD^5GSxSeK(ra}Rma_a}6m+|PL4H!Ux@=QsSG-za}2pHonp zZxVN^J3OX*lX`;km9yiTTt>x~{^x`D{!QVz=NHp^8nquCRHC)&W_;qM|3T*Cs*auR z+votDbXTBoVS9`yx(xM|ba9@%fas}7agS@T|NqJTWwEJ<<9Tsp)C8|FP z&@6Iq#Z4WrY{B7O$7mYPFu>;9ZAjHoRr5pMrt5{~*1!2?;SqUTpzPth1N5nSRDM>@ z1fRZd4D;$=0vgUko_EkW19dAPTwr~22E{V35$m<3cya4StN?uNQeUpSy`PJ9&qaIC z0zC9{J4%NWw_E2i;=O9kakTU3b%zg7a&&KHb1tf@^YD#5P2}F0*T?74Kv!>Iq#cJZ z{|;wxBwTK80zy)3<#Pp;=h7{gmf?Y2<YlM4V{w>Ji)L5tIfyEnFQKD6Iw zlwa*|9_`K`(-r*KT`!;8nwg8e&$$mea=^>ZHisqoE_?_8b?jpwFgY0Eq&eQQWecb@ z2Yg}I?7{2x9Xl(aorRaQ%T8L9?ylbn5VOux9~m49vP8gEH?GA>Vz(JR%ej+xkoAx`MH;4|vc(r>D9adWNJuCXgu!Yki3;%qf|R=q z6(Bl-n6vCPG(^uaqnxb|&nZOI&n3@Y-o$GSlz+<1vsNkJfl$+s5|nhix?^t6O$I&< z%{~QPK7!481%AASaJlRX$`X$(4Hv<2j|D_o(`K~@eP%fYY*MZ)8`mN#SheinW2Edj zf_B_ic)3VmnnCaleRxlPFl2YJ#)oq{Mx<+!PI`06C>4aC%6w3l4zaXVa~kxQOTJYc z#Dne*?OQQ$n)JBp5|+KOLhVI}|!+Fpa+^ zWDA1?zv2T`i9V`Eb9p&xZhLs+T2yRJ0I&?_%Jbc)Wql0nu97DEu96JwpWBcJj zJbZGPdoH&+?Oe!w_Tmg3fgY$j*7G7Z>hrNq1zrOTZ7x+}nMz)nY_j3v&rVFN=SC7W z=q-R$x0U+ImPdXUy#fEiOqI3exNI)UC{#HK6Xb1mqWo`nyWQu42kX!JeCBv^sA~u0 zv(@dy(eW|Bxt~t9PMqWZR+>%nxg1SnP5(JH{+v5Er8Y zuyZn*3&;z`T$lBf_get+{pw|OHY?HJtj2I15L7Qtf49g&t6ModK@xr5o%--;Ewd{2rg=+N&;xKa`f~+}UM5raql0=r-0mBZ<=FU#eAnzbEJpgU5dlB6Z_@U<-nU2l0 zx9f!T0ITHFamU)XbW*?*#a_$DyYo!?{@dW&*Q<|+-gGOA0c zCMvj8SJ8o{ua5C3ztK;8+fV@K2lbk|3m%{9upCnfkLZNtY915Je z8Z2j)gZvyE_TqaFo}_H2QA`H^tB)VMWwZUwKaQF1am=E?^d6_6O*zU|KLp6uNA;4W zwCg+-7eAFVj}JUy3y(qpEa}-$E{MZDh;V^0o>BqVH`ihVS>^>LB7jhN`&GA%R=R(IQ+#GuaU6Q#_?izJlW3!va z_|Q>sK0{h!Q6~Z9T3rx4l{<8hCMrAukB4<6*z}&2Sw)Fzm~yTKA#*3Sk|EzD4;q$lEG3T81u7@(1W9?sP0;f+8}VM#cvm zQ(8}flq~C+U(dxWM%rt~n&mM`D|y^F8CON5*&@yIVjkADf7V-u{ARwC{y_rH$zQ%o zX7hWbEsq$}Zz+Fym`}f**997SB&fA+xFeq%1enT-sgy2x9SGu(XgU%+PmnlGqhzZb zd2NRLAw9BW`F#)Ll60n5=xDx8J4=!g3JuHmCb#@Quk-x;gP&q()~?4VUiu%FZ(Y&x z;Na_7hozes#~r<3FHo*!s7{)6NxFZrErgdC?eS5U;D!(`%`=KFRQgivE$QWbKaLOsq@ntzKFq0FCO;ajm|k>Q(y)F?+wqQ+ZRO5 zVS}sC4%)!4xqT(T(upO*k>mZ&kq6BzU=UkU#sLqa1K1p%xK^g!`SwVZUc(Lm*0nY< zopI{y@ss&H+p2lVw;WsOzWA~%Bt~yTdwAEep*9fNFq6Ho@Bt-A0A-79t-g+&Y-X!w z6^G2SdYn<7-mnF5-o~+LC-3IL`_@qbiGD@7;GTMqAbqq2{uXF@PdQP}JRsrZUO9XC zY-$TU`zQYk{LbLB1dv=WRqAoQu^PAQ*kWXIuHZ8D+bb1b5jnXQ%-P=h3q zvqcADrbnmbW#GPkEoUp;!<{u|Y(YfW@7{zMO_U^pyF}U>E6ap>+_|+DcWSj zeRVzRfK3_K?mdB~3U~kbFlTm3J5izCvI1a@K>|%YNPo*5*0#(tRoc=q$9_U1gNI{B z1@O6S1Zh|adU0;wmEIZ5cQQUrrdKFbc!Ft_v<#gsYto)?3Sj(RjQo5OJ{9`AjP{J~==k9k|xD|Ux$LCfoe8!(nz+@Gf4a}7r-=1gA$T)t7jd@=C; zmZI6E#<$Wg@vihXA6X9suQOkhv`Xs_X->aLl#F2|aN#S~>$G*nXI9S?TpKc7dC9cM zk8%8N=9S1^=iTy;qtvrU`OV=)=CNFs@_JqF<^4>@xSaF(gi$#184pW(nd7|5n?L2F zS-WxN-RSS{|9O_t(h2-6vxom11fDwI?#kw{n+CdI?gC>v#JF~c&=b8gI*;Md9ZSa1 z!&nb7#I6UZ?r}1uOk_*@BD%}fDqLR6fiwO_Whc+rvL^6K9h0q`*10X;r3c2=@WvR> z)hR8Df++K6md&+e-DmpaxBv*u3Z8gh-c;|apKQJJPZ=sD^TiMNSv@9D>`%a_`pB(~ z)kk*!+cPGeG~pUL^QRMStBxQ}J?gfp+2Vv=6MRlv2W|9l_aXtjEkv&0=^o~%2-b-6 zIl&!&F%&2q)B~TTZLd4hBbn zp(oB@w=Comr{1AqbG+A`9mnvj41dtz=j0+;o_r`%F5VB(VsJKT9Du0GL_$yEKL7V0 z{lov|m4nSEZ~b`;JMFwyKDE`>poNgcXSQZScU!tFmRrmM#p1or!#D<{I+4Z2*R#cO zAds5}Xgb&66yS)1GzMe>8eM8=jO|nh+bA+VaXm}`CUol#dU4e1N4s|t1JXD@w1fJPgUW<*j>#?@94$q@+@b$*$htWSdf~QB5e2Y5-yyxi*JbcoMKmG1|aohup znmN+{@-O@pz~=dr@5lM^ew?A?W)~~jHEWZvAEj(rFbgBC)372?&^(Fhp9CxnsI<>etj5+-Ew&)?wY6oCJ-`spUm&|`*GYXgR`A4D zmltAvr4q~2JzuLT3_P*93q0TXSaBB~XL|B&yQ!-JR?>C}q9r_sCcj;{Rsq#pbG^Ej zv(JxO2pk>~^pSaLFt>}v>!s^K=2A?QRmGiuS?PiwgcnlUqPbWrts*X}?lL4Uab!!Z z3d?Q-7t&Sm9bBB_zPOhQD)Sw`Ve6SQ$&xXlcQF>$O%WIwtvC$S+eFFBz}8K&a8_wy zV(%8_BrO?$qkzqih?qw#S(+56YzQ&4>dt<1ke1gbIb%+q;yyI4aBY`~}Mgk^-? z)=s%ohiO`V>UgRsC`)!_WZ5Tmz*z+#w-SkvpHCjnmPYPLuk?1gXKRbCMaG*N#FPlX zYy7O|LRjf%K9Gj|T?8Gv`T@_TnIFtMKcKAKg=6~LJje%=Um47=<$Lx{{!P-${E{Zm za-|2J2uu=u@;DW#XPZwSLiHdpt-yye`IS1x10=9&)K2NQJ=qzEp*-G5zgyiE;iRzqJj={%Rbk`wPnFw zRBT0ZfB9B#5W9zm=oXhPajci1>N0@l{NGQ z`hBj6Ua#4`Ivc0`Q5-+*MQcZ}1hAqG1pFs_+qJ0rb7P!x^{>Nb)B#0y6hP_bvOY?k z6I7&2I(3{g827oq|L|u3HXnTFYtd~T=l9j0WQr;`6uY1;$?YR;_~7pZd-&eyQS1!& zV_;oS?%~L-mt9h-ta<9tvk@TEC8lhQane=0A3EtUXa{Q`Tf%rE)QJaeTcQwLL$a-UGtT)`s6p1Q%xdNisl z0IyA)Q0#>EH{)2hJ;2q|IPUIHHtLxBX(vccC6|o^+{@n_+IsDY4xRe7vF|8;Wu!I%o5t^fVQB~=DS6J2 zz?zUbn|x0v(B-98!6ln(Te;kkt63~J7NH$=bAALrcPSRM;hm(B*W|=S`Tyd(kK?`V zy~F|~*HOUcPkMsT!S}xr3wR!~{y8;YaU7&TN+n>ojD>N$AOe+34^Ut|PytJ+92ArU zfHO)9OIE$4fCwt1QW?|AIiWy~qd6!2YuB#D*6MofJ$izdKg6p+xuBfR@a$(0_IZg( zx@QQ1%N*r;k>v4Guak-rXkEZ4?gW#|8(DdHS7)SQTv5A>=K|=nJkMFaYTgTlYDgXh z$<`!XeFoSDf4v2{ffCgdrc&L!nG2hG>qNb@?P)fSq799*s+j7((SyJRtz4 z<6tOL0(`P=+O9#W@N48$3dT)_q7t%2%gP{b5eDl;Vf7aEz&-!`=l2rKS+7LY(J10( zDDQvu%YW}m!RGknIChTzEcs3PUS5tV=a}*ppqM z72=dl2nvX%G!Vpk&@sxgQg+i)=<}?A^X)W%S@c39ov@Msw9C^tvlVnME@_mn@Sj+DZLeT|z_;S8c()_D}@BFCy zf72k?{P>l(Y<@HAkQ^l4i&LXofk%-;Z>pPIBFz>bR7cEWTwR}c4LYA34dQfg9*d1e z)YeyH1|4GeyT)iZ#JCeiC+FdAY|hSglZbY=k3Nu((0S+)>q&iMciKvQF;;MltEBC> zx;y)^cs>(VTZjfOd|!*&t<_k-v98*aLVafo3;C>Ipq4jRViBj^LBToX2)%3^`9O!+ z2}{<~8qRSQrm~yV<%ALvzzg!A^6D7=96Lw;>_+W$J2^H^ou>o7+^EI6V^DdqNtrJM z5UKCra?;Vxq=TpKBYy(&Uca9JM;$2dyGEovLT+hl6}b9_W9!e!{z>&R1~cQRG%Im^ zV?9<^Rsfza#w+(;jMra!B{o;qlII2C4xKuD*pBw06IE=zbj%-siEp0QPvWw!43yp? z^P|jUizRe-e6{7Fm^cfim&r1CcD8!T!*hTC;m@EO{n2;-EJocHG*ed))ESf^TLaZG z1}oK{)a9^x9^XFxUJTB0KA^z}N5>iHPOQ>gIsw;t2K~OkQJ`vftgZ7GIcwZFg42#e zMBv$;t27YLIAezeI~WtPsl!QZzEX>N4basDd^I*n*QFbaEfrLC2Q2{bE_rkZqqF2C>&Y}ypBXr^CMW62 zE9!HfsgITMslI#mZO-zA`XJLJda)*1pweRjej&JO3 zNAJ`z&4Oe3jx>l{z9(w&@oCK0 z8gY)2kyuh9yB#M575rqDxRy7~bjIUQ)t2s^iNcvwLLzbA)ALjL_>RC!MYg=MjDnnt zJrv?ms|(|zjNqtKl%w59diX9Q(!=Yw1<|b-z3#g;Blr6#-rddn1dclmDdx7f-%IP#}DB>o{ zdKsm@zEX`l*H%$rH{*>LZ^nx^H{ve8Z*DH5(3;tty-cVr+QNw;mo6wv^Jm4XFa??} zM?`kAjLu*!%R)H-+X34po1&{R*XWei z*|H>sGj!(`Y(ZJ!dYyagl-X|fCEj<#zybuMt0l5rg;xu|OQ+;n&UTmC>L{Ix65&M- zPhLsByl?DhH@TN@bC_Z7D;Ig+6LCz(7|K(Exyf(SNyU_LCyL9Le8%r|41CCu?`Hk@ z(ei1(WL;%>6wZt@`G(I334nc+Z~09*Zu+jz3&6;kq(n+!nlDUqSmOGAUQfP1J*N5d zsgH^$UcP5Ce_imMf1A*(-iVJ~G1&b6lRrsAQ_5awt_~4sW<4QGR13caF=sJ$=#67B zmvKnf>v0O$vPDxMGi%RAjv+5&9d$nCO($JAL`MDW&>5>k9pZ$GH2CPWT;+o_T*q}D zfLcL~2_z3u26er3kS3P#M7@VD&6&zL`HQ?< zM<+QOw=#w<0C9nCPNG2HS+Txf7OsaD(9qtS5js7=AE63Z%^oDjUOM^7Ixv0SaS@Wy zEZ-%Z&7kx7y|uO$w^!HW76$&MtsAknxP(rxVLOWa$xGSKoA14@HKDM0e5dVyy?m-bID z590mqgE+A@8~O@1U90p2P$_L3Pwa)Z_Jn6n3>pANwZ%4;2)ywta)lXfmP0HAH*R4$ zJL8Ztz#o9o#ou$xW!e|81vIw7#E|={^PQ9{o(nSlW@;hn54}r+jlem$r|~@d9W$T6)HIU4XXDP=M%;iVPY(~`>xa9sH|!xH@G23s`^A|p?`AM@ zzGJ;9vpQ~DtJeXVTRAMm%|oh-RKOfg>E(cw&hq>D$634Sq@X|h&g0lQYNf1cZ<0oo z|0|#Ut$6XqJ-+pqkH0n8+&_Fb&IX-a=-k=To;_gHttD;QRDfO6 z&OF#PWecf{C?gjEg!!Pe3c-m+x#&Lh&F*#bDbP$Bb2AsHPi2piCXMvIiJ!vDy(xH7 z@mhN+R{WL;Rg?;r?^{n0w5C=K0?oOy@`4H)nsdAlSU>mdyu;-z@Yts~j4lY|-?ZvOBS65zt2shEQ!5 z-E>J1a`j!rd=VL50(>mh11lj#Q~66Zb*Wv)%gtpTH)0-RA2`f2oafTHbe+Lb>NE|% z;M47Thv>m`x3wIPVs&dZ8t9m61AT&?a-5?rg=NB;Lv#R)Czmmg2sz2D%vdI;JpkRq z!H(g6rgMUR>j5&{YkSp6rmmYvd1W!)$z5i6A9m*~=yc*HAcnMD_gGM5YpD5|LwCx% z4$(@0%6lWicpjY(m>N2Ea}m8=uf}Sv7BAks8Lz$kQoQogz4-XY-i#a9*Gt0*WvFfd zCTq~c^!ZN8A38R5Cuur_N#NwHY8z9$XWel^j;Mbff3B4w!$0~5R}VJ#?|-N4a7Df5 z*k1IfdSNR6DWU2kXw{h=#dnUr7wwZy()1LkWRzoyZLus}$?6vE=ZN~#{-hnnRy&`7 zgbGjbJbT&D$Ie!_@hI7XZ)bNjbSyv-E`*mP$>OBcJmGQzuIxjXj zd;m6We2~xP7wXY$0=(**I9MCl=sMq2yW4;uaCUd0-Rwela$4zjpXeUsVhUQ5KKv#4 zhFcw6X?(-4c8BK7zFx8SrJEAU+9Ln?jOfn z4|ZdCQdWg<9!QpjZ-4c(zx|U3o7;Qeqq6WuVS+hIzf1+6^ty41AfmamDpbUCZq5`qHFAOmaM7q&z3xwm9cx{`t@rGIPX8)hB&j) zXskh$h#mm*xHklBqMZ0WgqhnYvo^}Q3yAEac>92`uFd>B>%!1oe+wiX5)aTgy>LCc z1(bnfe9SZod_h)XC&lh>WgB zXSe+OLQ*ql%~xZ2smvO6?C9o7Ep7os?*KkuxVsf^ymBYreD!X2(cj!y zjm@P-tThV=ZRA>*g>e&1g4|uiIhU(|ZgODp@L?wEW5O%ci3085dl}J5Q7&s$iz-T0 zps50})h>mHV7RthXk83Y=Du>31W)-UHTf9Vh6^(zFMqw#L+9Q>DjyG|Y#;8hG+ zW=3U+@wD~g(wT(tqfEtFem-@X2fXs!s!v0hJ7Brx>M}IlqD0G$DhlAh&L z=Om!w{0v0;+XqBQ1p(b<>-0>0C*$V}SyxFn;(9$*O4Db?&kvc7*Uujrt;F>^DQ{eR zFW)u|?(1Oq71g@`xtT$N;0!8v)zsu$ChAN4$}Vz#TE0w^GVwF(dwS&eeUswknSXw- zyaPRm>m#F;rC`ikMxK1nqm+9}r*g-TZ~hhG-~MP+uU|RXeA4=Mwl1WssuwNkgm2PN z@aHNPgF!zk5aj%6FGlaR;<9y`&fj@$HqMA^E8P5|>m6%|1XmN|!nMP3baYp$=#;r? z%p9FYWqgsXqbD$n-N%lzboh|FtDO*r=p@@mx_~-)#g>0{uC4#G>XAB*m;jWpxQu?f zwj7J@u(Qa0p1bB^I(ao5>YJ+&m;8{4*(zrad2l*AR{5~(0=NZ$vt9IyF3l#xSvKNv zf-c2CPREG~Mx0QB+Kw^TlptLG|HL&`1rxld#Sr|agTv>tcLp${c%)2l&fTkQ<+8Vf zbZs~&t-O4Pe>u4j+m;}RcTQ&b7QlH7O;0crmjKWz`MrC6BVN9DGd}$KOY!j!zmAT+ z885$lH&-4R4h8_GaXJD;eynF433R2CSR6a5!>`WpP(CW8tv>daYRmBN|KZhx%}3w; z^XRpYlP~3i9O}Ve>M&?pdQfHnappT@VJ-pBTyQa6|AU>j{Ft(p*X3a|v5#U4U` z>rgOBIs#hbO?#X!FO7o@#lGj{+2kC6pDmhHUM|^X9dXvi zwrUoqZWe%?iXTR1->>aZ+Z<)k~E0x`>R zE8-h(AI4tWI0D-&An#dUm+`xw|7n2Dqqm}UavTc|76#P0;5c855xJ=@FU17{I%N+T zNaE9w^Lefz}@XW!j{Xuua1k$T0UzLk;?{;80{u2ty1TvF^k2 z4|6+USt8|*1QMN?db%nV8PyyKqL!OWnV#OVK+FuykZ!exHxHn6`>kxj@(*TgE-l6C zDxRwY)@4L046q-)4iz#2c%sCQ0klVW^!+ni1D0d12Kb$=!KCNW;@QqYJKlY;6YoDc zjKlp_936FH=eQp&z-sB@x68kbEu6V@{N-7;M!LjCnJIi3HN553)dnE6ku&OVUt5ir zZ(oboU%VBszkDlRd+|oxyR#YBwpMe2;m!3mKzJj|sPH=eDaRKy*{dr%FI86_q zd887WC}f{c<;3`@M9S?vOsgm=zF`~=pPAn@>x0SRm9dBN@*8|it;{EIzb{#F3`~fUB+`bZL`SM^C zRUE2IoJ)b0Eq){3cXsq~Z-h=8Wv`Ep`w4vEc+sW0OSml+eE~>Z#u45iJ=ZTz?alql z`chO@mlI?nAb>J-C1rH1ocZ%mk2qHS3}fjm?Kzy~iv=Bf!G^qDTG4XMG(2D{mMvQX zxZ+I9&!q+H3~=HSdCp#TX*?$gIXhiw)BuP(@gdigT`cd&kG7NvND>52^5ZtaPBa>j zMu#*6ISxB=sXKd+1o94Pun1?=!*C8-&0||;9Pc+1OX$t(=-dy#`bxZh_oes{;pLlm zs1MRd{W#zsN4^`-zLsIz0H2jbM-qnxUy#LLwMf-4{@|K|h zPTp~MD2J1&FCbmYXZv&*|G)RY8GAi!FyL`CcDJ50?4orcxKpl+Y)>0oyiR~~Mopr8 zUEei(<1TD5vn9CnyxG!O8mDwNEI+l1UUlL1TD?IU>UPsAI?UcZ8&|Abm?*!SdW)lc z-@Mx@S$;b-U>*ml-q?&~z~*XmGl5u6oF$HF>nwDKN73%@aNQwaW9qBeLG?&!wYKi^ zl<8_~)OFAFvl-zqFVkx-i0}0zKK1N%-p@Q6ck(`UFxAtrNUYSBW2>|a$qKe|NXSV+r|oh4*Z-eCj(_nl|16F>5KBR@;$VpM3RJkxOhk#O5$|jO8tbl* zFM=PZ5>sglJZdUZkp4Vszhe3*muh7WFQ9>vt>^fju`PqcUbGI|aeUB?lOckEadt+d ziy*JAuEplYCcw0c@F1kzw;BHF_D&ofwg71}@v)a~#`;<_-g$BW(1bS7!7-igtl+p# zXTUe=?gFv^W7MJv2v+GeFcvPMWIkM9GxwK=mTCC4Tr#&F9p!fS3^&PdQ$MX%KX!Hx z;>rF&Y#$uO?y+l@O7lsbKzn)78S?_onOVEP++o3;7>3kGmo&*^y_Vj-<3-m2`Y*ij zLVWncZ^q|8_u05}`xfh67!+7ug_v5|y9>i~c@pt1RAN@pr=PHil&Nt%EzVpAL zPB+m_*Pzc5`EnQpN=#nFFbOQrE~xhz*JZ8d?*M>8Nw{o2$K*P0h#!!%im`D9s>{K+ zPAc?88D2Pm`eKMt(owSO;fT;C-4+6QkbJFX(4eKUB}i=*v}9Kfy!IOkYf&(~0S(LV zqAW9xFB%_3lCi8WcwA*x6pXUwyN+u^f%3j0KvL8pfLUe3Q6^B7Z~0thm(G~rGGlO0 zUgB4pKmPeHZtj-`qDo&?9R zrT0!$^+0I_`{^Dx);gu8z+mKnC~_w2H>+Px>Z z(>SK3gkAz_-&N0)Rw`Qziwx+jcd#4nZaa=z*rI_t|2#o$1G+Au^X=TUN5`!y?TU9T zNV`e1;eoRptp*TWE-f`;YkfWLUAq={Z{Em!Xe%`MI_!SC@HQZacNY1H`a;mI(!5>+#lNn2;JvQ(V0=Z}B(pF9L; zHzvQX=J*%? z>4pa|l8#`{)=TwAwnkEq4(+lx%@)L5UQ2Y2j<(_G5U8R%bfX|F1u%ERwvp5UphZ+_QmwWw6rVtxJ9*jl|yxQU&uXPwD!@?vMu zj{Vld*g1R~`RZoFO9EiR8PBzyenT3mDW@34I<%bfCjau#ahz7IfZF$bHr4;eRUV3d zRcCuo9ux3OfA#x(yms@&*u?Ss+JpPi0*h#mTo6BdsSqC1%J-p3uJ*uhL@U#8;C$V_ z`EuOYdI?8czGcFX3I-S5O;*apz)S)(lRH1tqb*4ASNh0_P{ox_B) z2)AB~7S9Zcsv%{$wh%nC)UZyJx!HUXD*W0iX_tgXrS*>$zpufF2g{-I-$(Fk7otEiU&<6LeYT=qQ!# zI^OT=uf6~s=Hlr=A26zcRT0nN83GUo=W*CM0}zg4d#@J{wp;Puql0+x_%L@5dH*rj zk9Onnliheq*xA{OBhu~w2nPcU2=vJ@lzhKgTZoO-X583Zj(fK^;?);##~ZKQjhA1z z3C-4XFW+2*A59NS=a?5g=;Beiya?bC8ac*sd3h;be(|OFwO{$w_?2J&<@oAXzZzfp z>hH(rzwj$@=iWVldNYN$4k%w|G>=opWo%fbH(z7SLbj&l+B z!gGi#WuxXVj}y4Ll!k(Oa%R`SF>wae+ko>Bg~JKOrvkL4^Yq;Nf;?M;0iMvw8SU;& zG&|>*PE5`G2InWbz@EvkSrTOTjcHv(@R;L>W0Jl896hEYDFG6$Vu437pF0UV^7U=uzjJ$cK? zlfL8nzvF{Jj5~b{2u4cc140G3=Yj&>n_nu!lH?(Ka_Tr>wQg}dF3@4ltX6-Ov0Fv& zb$V?a*iMeya&m|7YIuF$o+rnQ3N9KAKrd;`AuvQ@T*dXIB)P72=@J7OKeZ`tx$($=ApR~?e&m{h}nYjv*x*(G136~28oDDYC+ zmfV4hP&L1TO25tb4DN~T*fmr&BBJpYjLfFK%t#z0!KQ0_Ut^?N5o>EfY79d>T zx*eZ<{iE^m*FF;WuHTL&K#fBbY=zBMKJqL@ARBd3WTH5fGx6X5gR9>g{o(h&9pnB0 z-cr{I_~0}0qR>eBS!jd>jBg!0jHmr0?pZ&SgOH%dx+1zDUBF{?Sx(RLXU+=eEC}^I zTYaaka-MZ4VzwHKI5_TZCoq-frfHp9|5*<7l$)m`^?-%}+CzB-H<4&fltYlsY(|r0l z9Vs)GpMG|)#K{NdHB&Od=k6IFdf3|}kX3Kq-Mk4;pT&dLVFKb@mdJA1I7d#Nm$7Fp zo6yBNwC8bi?KTc0b_)9Skm-ZgPV@%{V5c$^@Tko_9Mz*X&f<6`TAlOQKH7u-KWL!x zT%5g9hOd6^r_hc5?YI9`93Jl=pm--ptVJ1^l8g;j)%rP2iE)_n#Ab^XN#a#`a-i)n|w>LN96vDNS zZR(cki9=dvRK^92Z0G*%tqlOvy|{Ms8bUM&NIO8I2zDJalv19RlHJy1Id@t?!7otG zT&Ny~5ugrw{pg{@&vSf=ii|W+JZpHu&E}F~$32^&$LVPw@*P_qP2<|N8}ZVsZ^m$Z z89RH22!Iu)2QojQ33Q;WXMmM+1W7PDppN@knfB-+_PZzXaJL=r06^bO^>xD&73 zyB*gzH)9n*sQ?O~^`fk<_0{G0*hfDSzxi8VjNku*zZ+luy+4Rge(D$EQq?tnbGYy|-C@EwbsQ`JXQOQUg(|7W{jO5Ld9}ml$ zAd~AdO3Q1(sdZtD^6m#;a$JBUV1a5L11?7{t%OtC zMz3_bZnfK=bi0*FANH!q?=I!$_IDMB0L(x$zvZ|#CzbAA;&bHFkc|iE?yLvP$=^Jn zkkZ6CX?T?G$~kn1UD(KM@|!?J`IT()iScYvf=-r^w379Rm*X)hvvy<*O*GIwCw$tn zYhE)Q!Ky8gHYm*HEcL}Kv#o8=SuQ0Ha<4LA>#YV}onH*O!;qkv%S558-8T8G0!?SJ z4cxN3{Zu5%A7zH;otea ztKS>_(f7WEQ{$rUAIML3J4+uNgW1J}crtFsH+S#H;B=IBK5ad`Bv=%PSvRF+S{+sH zd#_vRd z2Vj6_J*@op>B3?omX`0tYV&$*ENwt{$|Vo+Ow8hXpsn6P^hO6bR$cNSkTeSg;F?x( zmVM)cauwZV9*tux&Y7R`%kO78nTx!`0S{-n2q6-AH78e7A7h$t$ zwtak@hUv1tkc#kw$|;PJEgc+INDk&z>v2x+72Xi+qz8!+7kriI6qB=sb3m@k5IN{u zW=$bLS+A|E#=-VJLPFjomcaMqG}qs}v9TJjzw%=0$w;l0*m z=Dm}g+Bt6YJZI-W-fiVf{qMf>INtXB)`R%=ci)Y7-+dI19&N||9yIFpFl6Vk(x}9> z^(BD#TD)*;EAHOB9yhLEi!H$W=Rf<|`1^nO597YHyMoK2V(BXBvQ z&UfRYw;w~8^`v)*LF^#Ved@=tNp=$es^-f?ovS(qquqG0_s^-5(z>iNaG&_h!-Ss% zq4Tpf6uHKx4}aMep)k2S%ZRvkF}j{wi|ao0cQ0pKDT?e~*gBeqOa;kJg^-73KYA4w z-uV1VEC@IW<-822s`EVsR^H_dKb0Dn<2YOY$pifHA+J4zZh1-kJn}sSzO(>L<;nlc z8=0l@n-`Taua&`67n5{7KDb}b9_B00lX&@*Yk#VW{mc8vzQ;74(Ttn2pVyOTljmMf zm6Ij*JpJu4{k}9du74`>Yyo{P=mh39asIlH-THq;SO#o<yf5Ls*OJBqUYQhtqlm(2$G}xbI6b5E!Cwit>j+qbteSj$jedbv;oBmKfqxL zP~-=*WS1ow;fFF&4gt!9_spc{DbE-+`OooocEwr_Ljj9|cnX!vAi4giKv~CH!<)c? zv~1n7ktk_E`U25x*#nH0)@Iu%E^~}&0()W^R{(~v7n|oh05jLxb-Go~Cx9;JcHQ$W z>w05#Jzl?cFW$I$Cq8uRPHZ$AF+hh3Y6^cs6~aIGy?=~8xmvKfbN{9rNLI=YVWR?=-rOxJWns(tgudy=ypzv3ik>fY z@m7L!U$-QaxYHxk;Q2JToY~@R6|i|c843qY3DPd#w0_hXNe44&B3{m9tLE0m-DoyT ztEQ{!>>ceytMfEQBgbo=<4oC8i{n5QEZ6FQ{rNcT9;dy_YYD*x*H?F;zF&F3nS~5&%xxgC=$mIsUVw6wP?6| z1nJvEZc}sLa-;a&t5uG-yGQ_A!Q(TVdc7{waoldlF*%E{7+Qp=_lUEYI_O zTSe150StEmqDRz;UGlqt(A}d!Jltu=JMZtrTkkxG@4a|$F<&u*($8*r=x&#dhGTr%=PXDSkZO=@ zv8hlKgc)bG3qEb_T<3n1d*lsypn^$9FI#n4{*(jxKxLFb3BD)_t;j%LP57RRlob_B z`Ng&6R8H~&_B8Ojw18#;nfK|Da_Dc;$TucGJ&FOyRC!EZc-by;_p&xm8pK@oD05X_ z%5Qllm~<*z?xd`GIXOx>QXx#`)laJLV;Th*=hMv#WP;JDj{GsI`n zS?UapvJ+<<6Xzxeb4}h`Z^Q^EbHMv9@nf|lpYWgY?Jk_>W|e#hx^$+URA)nhW8xh1 z?vRqocW%b`78p1Dk%AkWD?%9g!F?mND*B7l{9C^Pw( zaeGPtiga=9KRL;A$wL+80lln*%%Sg%FMob;_)L~6JY<;)&?#M;(ls4I0R?~QDCU=4 zm-sxvkb2ri41p|`Ak&b$1=-GSFB4VJgV{S$?2mbK4Cfet=onBN2eNCEckP9<9tE6E zlyc_0-RrvzqfUH%_r2(jb=D_fGwCrAVe2cwraG5;g#Xl$SS@H% z>W`}DC_2pXoPt7isC8p`D;4O+x73HJr#!4=j-q@0;R-4a(<;|6X?}ZJ_nE#tM0l2l zI+c9Ynzr%*HkVw)-3g$D#)9SSmFyoy@5CW$hskSxL48biN?PPw9XNd_ zpXs-GJR_^ujA3~gH%Ww+OlZ6vzbnEhWdH`B$_KrF^3?HcK2i6?ic{)B|_@> zPCam2Lv78JaV1DjY*3)}1m#wWs<(LtFvvB!C|H)$rm7^IOe`q1>7EC~@ubq;bb`+M zY8)NxrLvYNwn}ZTF2%hUZpHN*TRHwvMrj?lQW55uLI^f-XJZzHM!XKwqg zQ_6I5GKy|z7`^T=&Q8t%qV?P_SLN$rJU!FnPCE|U$JtG88P=QixO3-D+`V%zwjV!@ zfBmoiIF0~n>D}?!X+>&etvr#pbjg{J(uJz++N_U~atxB+an@WF#hig_za_{ul*AB7 z>f|g#RMAOAvZ-hL%kHm~78ERx7D&H-@a z*89=leLvdUk7M`glX!6d{doBPc6|HW_hWab75CqJ91k9D$2)JoAMd^UFrHGz!|mNz zz5Y@(R<}xiuHfhmpT_qd{Zs0ojI%t?9fWKTR>^5d9A{=LCcsg!lQYQ?T7c&)fKp{3 zGo`1P0_)m+7^2f51_e+V3grmi#8~j2pjHKW>frH{76!M=Gw2V!o&7%N_|62r8rCK1 zbCYnBy1NY@U*n!@c{=V(Fqc(Ulo~-Gr(rB=!=r#a<4g|~ObOmJZaGpp_@;94e3(4< zm|jm6UTH1zt*Mfd4n8UAn@87-bvd#Mq2#$JRw9%HOE!{^ON;9V`AB2Lof1rYl0I_n zdHUOUsXWV@Kh@xD^bfyy#bY*i{=Cq~vI3wK&fI3y`i8!SY~8|Os>4nIdS{?NyJSb| z!+I@d>t#a+dx7MVYyl>|j`z8}D@i{MGPRfd0Zq|0r<_N8@|^m!r$pX1Beq=Gijht) z=@dtT-{_tkkO)|yLKAFhaMjgS-kCod#uDi-Ew7}L-9ty^L=y7tn!|m7XRF(f-e7>v z>`}K+-EX76l3QmlV-@h+08p!^1#ad?9iQFPe9y6-bHlS3JUoukUKcP5AO$REt1Hiv zSL8oJpWJfMW&d!<{~sHF@Bv*Ei^%n5U;L$PZ%M3kA%r3EW@AF7n`i@s;t zkdjaUk~%{f%JI#-lapykGaF81E`~?1X&txS0CAIuEe#*+9a&z ztmDSLpUe8W%46rfw_=2?k;WB(zhMsNLNIqqeZSk@iFc2l#K6gywro=FBEM3jI1kcE zIy-Aze#n(pD5(He+D&j(J`;?3oxg>vvkOw8lH125A|QtS()OxaK7~^ zNTW_B{NUlc+P`XjBUaX5j*aE(u>y_lu9tVzJvs}+@gNSnyU`gO@Ee{6e5T{Cd}KmE zX3NK=!SpSMWmZPa%d>CtBW2rf8-Kz#e#_rEEP$(Y=CW))EdW-aSmQy zh^L(+5|*c>xwJQh$scKCt}+>a&&Kl7dR*Unf%8VV%7XjSAGCJkxb+14-Y;nxf09lU z0B_6s-~^y)0}UTAqz)%fej)7vWwo{c%b)$NpFG(7+PD8j>>X{BBMD^QikIkY>^5L* z+;`m2D3+VenB{k`b)1UP2}5>|z?Uh|Q=%kY2^PfWdTzoHmRO}>0bx3np5CN|llZnI z`mU8B*tAal?IfRUjchjfek1mu?gGH<;JAdj7UQ)yUW}W!uE7v9(P_1Kz6Uc6p~7T* zsEV6!F7WvV;BaMaIp!B#y2Eak^PFYr1f)*8hajHhxTIBpW}R>O{WOx8fFX>zdwd8u z>{F(hSmF8FQj@Y@#NpvleEU1!i|wb-PzI7=Ef?1|`4=!@xoruUi$%(M0h767NW0g~ zt}Bmc8of^(LUITC+|OqZ~w)&7tCj4m}oxzj%_WS=C^cxdOclY=d;F-%A zol-x}I)`_uHG2t z|DHWibn<_ND4!Lj<)K0|t{gc{EWzaDI-mHeSMnWabzY{xyB|a>*KjxTXB@%iY+0>= zknaq@p^pZrK<&-??3%|@`A=x zIi2b~X(YKFyJg-|r=Z+4aNh8qid`CeoOMRg-|59^*I_H?v4B3%*t%_^dRBh0g~FyT$}MR`ms=?UFZ2Xg;>0+O>k)iO$J4}MPpVv!Ysw3^gInepxfPkXS& z*$tkp(Ev_&9%|MW(ZA+Fc{UXKkW5K~@+)r!TYLrJNn`RSfG;~fIV|cj20U{zhMLJ1 z(DMcIo#zskZhk!Tca_J%`)|eNs0Yy3!KEC~u?zt?jTZO+^wD=>f8eCo(jt}x=8&g6 z((#cf+_#a&qws`vrA?Pk@^oo=PC%dW3&F^4b8hYA`{IAADkT~xVe5S$7?QfEgw3`@8IYu&fq>`XbWi)G!G{kt}iW-?l}&Z ztfc(@ZLkf&|VB|@&j}vEm1HPDA^$2>+5#6*GWr- zSSsG776t&iPP-2bnUD3=6+o#ipC|>stB2=8y$9VcUQsufVKPt7a1;cOMkleicMu1M z$9%7}+REffKi;>#bG(oQ;zw>tiE=Z|o&)hm1M+J3ekB)hui<@UR~ZVu+wJFid2&Lw z{7O4$B2(1({^t4;0Q2?ujbHyl{GGr5rTEP+{z`o23%?MryzvSi9$;q%V06-s)8T%M z0hq0w$MNXh`|DMl3@fW}Y-8Y5u22l@yj zi@@2^Neqpahh5>$I_C~NU@N>;siM=%lji`KGYvSyR!esms^&Y^w+h8B^3w|^9YHgI zr)zlH-BeVf0*XSNaZ*uf@pLlL{M-io;Fg)IT-)7_VIp=0<$?^F$5dEmlK;%D&x$hh zq3IW6TjG{{Ps8-c`_l^!TPtl@$+3OU#hYHL2L+lwpLU(69P+Htw4`S+PZ|_+;Genm zc~P{!=MUkl?>`4Xxt(bdvbwI|Xw8i>{g*asL$HS3!1&>kuW~uiRmX3Rl{^?_%!@fG|Owj-23BV=p6F z&;4PUpwq=Zw7Q)HVFFL{ETFSY>O~iFcX-R)9a!%80#U${gM~%lkbw=Wljug z)>h*F&Ngx`AD3sD4CRzIW>6hcGRi&fH=3()WAk3PzNUQS5P^f%ejK)*#M!7#I?ygN zWB$NSjbA)dHNhD=1=jO#|H5y^y=y;du=%Y&ik*W;eAwKT zf=h=7x1a%OhQJw%{} zQ{nMBzvJ>6GVc^=%Z$?s&h85<%&|czq^9dL&aG*LHV|os0Xk2tbhw5D=0I`>_GNjzXwo9@p7+@ zS6#<5Zq!^MdIzpAYbe!#WhKx!Gk5%3XMKh4gE@ z;jDIe8Q@rgW?RE#w;@3D!mh;ud<*y#c*0Lb5m5i+FT3KMuq40~XwGi|=(gYwfv0=4 z1B&7CatJ1c%bC+OkY!>6caedTe-*d9HrcXHgmTwWohzONus3X z_f@vpmE<@0mdZPwyJ`GM@W_1R1^F_ls4^aR^ZS+}BdEu@E^kj;^)jCSXC{7nq2UCf zD+ZhIJ^9nrCkvEq7N9wAKxYakq?N5-(j#YVqbJl&XXA?)9%Af!!>BaTSLhCR5t?f( z#9Wg%kx9G19e=0}wZ3dUk>&ybiLJrXm@QC|6?93}`cFeFZ`j2wFDly(EwL_aopD_Z zULFA_$LF~XqhrK*Awiz^)ble-)fmEeC)_Ifxd2S{p6S(U4S;HmGzF@zk$9T>w)fGc zJpgESy^|Lg4;QHVTXr?C=FLU$YoN{s-?ydBPxHB$ldt$*t>P*rN;`q~Q(j6HQ%3YU z#hioAu3f6(Oj`JiLtQ(SjpRh@fETl?+_dyq@kbB88+!xy$F}a}F#_k@29oj#Ky(;)`d`jpSJAlmcufHCtuDJwTh8eC>R z^Pn)qH_PQc`Gd3kNkMsqnCgJbxUqH(+APFQOD8}8KLLRg{>sC0Kr_#NdjW90v34V_ zZQX@G>q+lkza9I>kFnjmI1u6nqWc}vYJe+lF0TT%dteysIp6ggrk{0XUipl&;SfLZ znML`XPyZHR^G?ab4;_DNu=(}x{5LjxB;b@oT^Q`S|VM{I&RpfA1^tJ74_e_{1mPjN7-jqB2Lm+{1R%kFjfW0*re{$MNvp z$MN6(%df@P|Kj`cYD2c^hmke^i^nmUX8f#Orq7sZs=4U>x`q3?3?@OvKRsgj>x$a|*p zOu1T?$-PXyJS^#PZL85V5w8=#t2cOP8Y#oZdG7qvIttjl+6h8C@BT}aye(W~30D4|Q5p0}nxY%(%gtE6wi0to08N02lTI|s#V`x5;0kHXYw85Mq@`T0 zyNL`WxI>p{Fa(;5=%*$Tnt<2K$K9A4>d3;!nHGWiaDrzYz1zg$c1_MPy7+`VY77%B zoB}X*I&sk&Mq{NOXA3Sw@30X~YMN2bg(uvgBV~!a)zDu#!Dwy)z=?y7{%Usz;jS|- zpEMYa%cP>r^C^yNB~}{sY~idXhynP*i`oZggzLC3av$M}v*8)>u}9?9Mvc@yVaTXXW*J|}0c~vEanW*T%PTL_F@Kgt@aax#f+^FH{-&GbM3HCp4gZKY zn`N{?L5J{J&xDnd)FD7i-z^ik#&JTq&QUM;#BoMG3@)4W(&oqW{i{3)X9>vQU^LQ`qwQFM!6k*}dI z_RmI_!a?QH)L!O$-=1gmiU@bN?!?pM<2dSTyFS1@sZUAFT1qEt`aSGgqqY*)Ht)silD%fG6Mllc z9mH|V2Eew3HXA0#Ycl}abyJSRUV9?HMDaTW=fq@>74*v92kJTV$i3hGv@M%IVX*lZ z-}~2@*(7GV9NdH{RA|{H;(dhw!W}Ed2upVui%k^h*=!s6d^rPoWo<3Cu5CuWvKZTs9DnFo zIuxW8L;hyttAleln`>#hczMp!1fbfY z**_UXt7p^uAe)}SlUZrGv;%pPVYrNW9^`;`%Pak$om)lL`JQh`50#}|QI7a?+c>*h z?3!_mXfAAj!Z%UUxwan9^z`rCycWOuOP>Z<{!0A2fB5^He>Hyo;~$Az++SQIrL#_q zyGPM)w+Nl+9{1wOql5U~cizh`@+Xh+a?mC(z4$`B_|gk7(kupwZxgzBxQB;(vAzA6 zcOGSM?CIDA-zl4|1nH$Cs1B|d___;Jr_+g7Kl<6&y7fZV(N!Fs-jn#o+y7*u2%#@L z;RGDpjfzniaRzL=>(80%!@)Ci(ABY-DfkF1MkKo;c+1)8bB?B>@&tmepJ{rRvrB+M zcf6AS91n^BQm?Mbd45p_RiB+dg%@`7dzUjk0!m_LO!|C>Z#j`IT=~!n!l547gG5mq5bVD3glPz~2W4Jm**a zuvZz~J6ueZmcOKo^_)xdaF({l@vkUT)12g+-^TS``Ja&VH0{ZCey=FF9J;{0yv3s* z%->J}DcmGNm*pwXNl2q)FDpTT!0+;>du#_DR)s!ZVFpO)S@@YSqJ z9vbD^lBx4}Km}Eu#DV@S#tiwL00M{kI0n-dH5~h{dFdmo4jie}n}A7xQJ=d0=%%j#nt};`yEwi> zqnsciJDZ-ZnJ#p1>+I>+bsfvL$}7!!tfAAfBuO8Ey0%KX6tGd`iJw_t0-kK~G?3rd zZhVsX#o4{8qc%5+mF0TQ8ORn(^4B>X#h+}y8{7Tkv~da6ty#(>UF8YsUg%V8LfSr` zTTjx`Hk1V}HGj}7Z*$*6y{m3buxZ_8qmuNZ{!BONRbu;^J)nNiZ>esa6C!P;D;F8} z4EajXN1gEkj#)jLOV?xF^)=z?Y`rF~e5AuLJQ+r7aF|`_!x4I0$HqD`4c_{TS8d>9*#v> zMB4P4lSwk)GpV#{C^&RsKz`^GY^LV`%*q6*CF`XT=g>8a zNyI`QfO&cm3(#-@G#t) z!YQ3`txxhQFcOHt!1)Z;DjWTmx?m$68}i^d zPFp;C{ZY6e`*EkA4y{9yEU57We&PTZ2T%UB>^>vNM>*D*a|Qb}FJqI>9J?tnHGjUt z3uSDb@+N@M)}TYZ@4FMQT5OHo`(*)md!usbl1l?+-g(G7PE5_A0er`bsB>TELU6iB zeWvpV9ZGo%uP2@I=0rXw;kD~m4>pgVyc?G|E3UTEaEoMY)WhSw_~S?4kG?a|<+rS3 z%1cF9R*wYv@PK?G4XmHU2-HPs5tbKE&D3J89A<20G^KJ+-w@7*b!mJx< zWSv_##`lnR(#&^t!ibQxl8590;!@w{)7kWk)sPB3Um+=|tLpKlQz`RXct<^OZZi{uhu z22VC=axGIf0MZWf*Xxybj=yXIZsj+H(=zC_I9?)KH4%U;yWhi8tWnXg-n|vS{P|DD zZ~x}!;C3W^a%IYmf@{cz#-!-Ip^ezY6!y}KQUhpvn2xG2hx zaukI7J;$WDE#;sO$ZQ`+t92a5`v-BjzaOpRqv-d#sdSx?WYaYf}5&?oG?Sc4WM2O3MdN5i5eKti^~DD5f;qCD}qIL-Dty;Pl(syy6{ID!W3Y? zE6^R_kU+bc5$U@elLAh?T{yPW03f!jU64%PQ>my(`KGhh=Kz_xc>L@tVUypsxGr-o zVAe5#XGm2&q-;0@WvUd567x^>Uf8sxKQ#b^lrfY^{(10RxlUy!?@PP#%$Clan39Ut zRLZGng=s3D%aM8VKi{8(ye?1k|Dte7gS01)e=0$+`LS32z5M1?9sigA!~Yh8ffKyE z5{;!b=q7lZjVkrJRB2=Yy2K?0-0pS_kB0!MVvh`Un7S4k=I{ggk9xCftB}(Sy|4B%16-7CK^Ld>4HwIlq-y?NxwwJxi3m1qb; z(WA5H@>7}Fu9G~^`wQrEZlv+k?puexZ{BPA zp>rbhxFxpf<%CY2`|Y9=O2`H-b0O!qEUAh&kO@~2I zXWW-9O;-@t9kg>6dY^E1YD0lMWQ(5sWz2$jJQBomE-jd14xPgZe`nlcMLgsL^W*b! zPk9t*+mPW=o~4t+WybM0(WFxi;N4tai`~{?g2u#0L`q$d-zvJ9A6#1x3$ea>J+?M( zficQD*Zn~^4qH#bGJA1;g6$!3^QmoLu2y5YR?VK-TyHZS1@mYgq&XJQI;4KoE!Lv< zGT(%s3fO$O^Zht#@0SWJRC`8r3n{8rX!4=m=`t5Y5M;Wg-|d@s;tVgf(`^?8M}}P> z-fbOKaE?ioVJYIXG~uEYw(N?gz*dMAtTND3RLQFFtQ=>4+fpg>XMV_sV@Mq*dh6Eh zSOhHX9JWw2i&0CM5hIo}mCF)DnoIx)b(WACYYlP?Rm_+%aMqKk|MZ0FDp7}|( zMA?Le|Q+XJMJ#D7pd-3G(IG!9F#eS<39hAST59Ge|(9N{1JBJH==;wbaHgDa_n!JkRWY~+Nhxent zupG5{_eFPXmfa2-WR+SexBLY&Q7WslorxtX|5f=c?KXxl~eaU?z=EN zeB-juwuAyYPtVG1b{&nBi5%AnzpGRQ0dw$VZi(sm&Mm?Qzt=EQ&X89YG+=(R$fXKH zMd7`2?O(ZP9A#NL_$?(+eoV!N?D26)Oy1JumN0o<04fwAcwY|icdApLn}iRzpNG6Y zP2XqSQg>t=&eQlAy!CGrNF=}UBZ6Z#KmO{~g3bT?|NcLYF-qMfb%x3fGSgh!h+1H$k?KlR6j`rFy-o-gT8fIgG`>-2rk)&qrhVP$6>v2E# zX`ib&M$y)F@_amwnQiW&<7S+_4s)gap)Zr@{!SSrIr8p|c9&5iYx#Y-O9$PdL)pz~ z`Ec%@fo$t;bP|2^+VHp^eL$x=ULB-i6rfeHJ#Nig13)LI@$Rg%+tKwko=KN;=#%^S z4*^aDd%AL;dFWMIvH&vVac)T7y9IdIc#_7L@7TJt;?Slpdf?Pnvue!d)Oq!Np{-|m z&$5Br(Jx3hWj9aOg)N5ekuG4;v32qKD*RvNyqIAwZf{-vn9X;-{;#taatNq*xxMZ7 zLHx;+@5RxmgFdpyhyrB|76(QdOFK-Ny*|^P$#2#-@ya+q>8^}xJAEd3h_61GTw700 zDz={G&s;D0#O;=G&TZIHH>-)bXn26f?e0vTmg7(#QO5B zTpZmctV(_bq_*_;qdRo({{!mDi9si&MVquzjxyD9WNRg5Nd2lZm20`@r4EXBN*+CX z>3=e~_ey+!C%88xRO{8H*ugeWHw{Q0HUC~?7fQLwEob9i-?|rT zVjO6sv)1Yy=DM1rA^67zx{NJMn~NoYw+@6$9ceGqR+(3x7iZui8LdhdPwFOH)UskAQqCNMI4UZM zH8*36+)B8V(Cr)7LH2Ec)l(|Xu`#xQ0$QufvC!Cv+3HGmv%B48=eR>20g@z}<0WBO zOX-qE?kDW}X?CAGEI@!Nh?x=ml9y+*Ldje*kTik8T;jymfmDc91b{pVDiuyWvK;q_ zQ8~e=xb5Thjg|Q9r#=yX|M$Nbzws-dj-UJZtMSUqcLA7s!w4;L?Y{31`_XE(;^D*X zc)WcSd;49$vR!bt5a>O_Oq5px*YEdJP=>aA9v&pXw5wdOSjJ>P4*;+&4B3K78QfQR z2VnW$)4llKgU9jS{$V`n^kW}o)W$Hipp#o@wo&+P!6(6qQXl)wuf)xJugDr#a*PIm z><52N-W?9H4wzV@{xB>Kzz4j+saYSk1W^e^Iq_WJSk~pVF1dEBI?9EL4~|H_)H4)xIy)Wr zg)rhf<`KsXgQbAyx}Mpc(?bck0CZ7U3JFQ3a!ybQZm(v zNnUVp&SzP?@;uMaBK&j?mp-~`u=ywd#s4jb={Q!qb$Ap<`};YG(cvhTR()B+33Y7t z=}3g4?i|M)@>QeW)NQUGd5*5UJRipbx@N(aQS@8|CbP@f>dfVJCVE9=}}W zb6$6)6rMY_vvh|8)Xg77oV|cg2LKOfI9EgV`F`@I;KB;+o&n5HV~+Z&Gyy-Al2`4Y z^XPe&M%Izc4jeF8#VZ{mNYbMEWe)VUFGrcd*6y)yX=iV#<_mG z^^^cm(MBh@r0nt(GHw@o>J)j2vQ6u^90)WwOZU0I(FxS4ykHuVM;)AFHKC6-UhOC? zOi$1wh7iEn)01@KxpAjMx2%sOD#5Xy>YQo5R46t~IYi3sDI2vd=y@&b;1HcGfuDLy zzU&UW(H*y<)7uA!bb0mEobdhxXjFD!{3zk#`+D!uNn{buq}D7(1(P}4{4X*C=TYv>di7%lX4qEMyG@^GhOh?Fkn6JzOFRM2!Q;w5X7P(eNvtfyNhA(~Yw}0~6 zRkqrXV3rZWTgyt7P&P%U;ANc`Ch{cx64ub0|1=AaSQfIG#-6 zL5ZR`Dk!%)hC;)fgZs@ndC0#M3|kc(r|H-o%VBqeTgefXw5fjbxDcG9k&T}2KdoY3!r!$+fOlCM?Gk#*SvsmHAtx#m~1@( z%y)a;*vGKhwSIJX7zca%xkA7YuhF$d8z?q`rmfK@FkxqW8cz;e@tyad05G4#TaR|) z!OmW^Nvj9I98l%~%DqRtHiqzcSU~3yPDG36$AfWv{+GWPFTMPF^21deqXCY@_BSvb zD5n`GETJ&Z0iLl1$gf~b#~5?R8$qWOxZ=PFZ=`D~6Y4rHU1N0(a0R`UZutm>qM~#e zq=j6}y$*ek5#A%7?ZGo|L-8Y`j!B2Ks9WX2s@15bti*@!cVc=nc9D6t8H>eAB zlI6C3IZ-e0GjU|n+_n)NSJp6o6{qPS9vOZ1gXr@7ow@|O9blFdWW-PjAhE&sXzybT1404|@W?zNSR>*R5Y zlSZBIHkaIu%a#@#cAUUYryJ+cX^76wrQ&dc_l~-8)b2;8KT4ZoLx}HaM;vP|mnrJ= zi-2q$L-d|bwzMcMRs`ZMkZxrKSy%V+maULVaRO!X)LgBT2>F{kkHr~5wG)TcboL#OEk zTPoO-?v({>kRY9BrsvH(Qy&g>y2LhfF{vASq)glo2^x(r0G@(f=uFVTsx?=ztFEni z9bmPZ_{B7gt4_C7^SE~yt?mx`^%x*EARl~#B-M*qn8{)J)Vn$(Wmtgap}bsWENGy< z%kpv~ZHjrxWV9p3Ex!w$d`n7sEnQ1GzGpf%7;P?ZMjyMn*KwA(1duNBAhaTwm}bfn z*Q(2L^V*BC!aLH^c^{qLQ5?1&qbCk2fKvktZM1=PZ9c$9$0xxSPo#-XrMlh>Sr);j zy$s6W8Ft_NO~Y3{|D|~G#*ZE@_qPU{yNBwRHma>sAnT{s3=HI+NPqk(hDOC z0H)32g+Zz)6yLRO9D^WHY&ulL!o6X&CWB+qWr z1ez#9TWD0OeE@R1-^oQ!5xpGu<9GeAyF=6(O)@weE@`3B^_k_e^31qvQ!Q3dq>y9= z!Ihz#D6|{bSL34}c_lvo3!eaJel9-!$xp-!cWxsjP7EpIWQHgoyN!7Hv3t>1=`2Bu2mu#|?)~@oyql0L-j&r<|v&*EN#F2^kK#p(iU`!qz9L4>; zgSh`>C*IxOi5(mSf#V3HaiM~xY^6NbuSw|L6mM0aFMR}{T>$47f9osp`fG0*>q?H3 zaR(6ntvCZ{4pAT{Bb35fJ?6&iv2eN(O}o2sh{gaq7woqHin(5fWl94g&(2_s0A*to z;RrA;&pVk%1L@e#viwS)m^dqhi;GTpjd$<+|x$>a&5rxLVY6mUshczNoYxkyVrYwXUB;GprL(9-J|eX>2j}-AIBLxmea0v!6pG9 zJ(Ks~UEWK>$m`Z<$)mI&a5KAwxH)ZMNbkISDC1hZ{I)+b{~p94QU>$mooN*AsYFvb zdgj7-<()~SJj~ZmE=<1u1EHDS=vO;I=+6P0j=i+b>^Tu+*h-^=JO?m2!8v^T;88rh z|1j>q`(Cs$FbkFWsG?WgUUm^(S3#jxkhKOZ(SUf1C&=Dm8}M=(CkyBb)Sl~b%4e>f z*IXuD6b@H+!veXo}7^vhMC?sppUl zXR7P;IDXf$Wj%C{9s4#2IKx^)tqc`CZrlQl&Cm3=I$tKq7O9%L&wJdO@MO}7^eW?v z1dSH}TP|Y3UD`@S@^zNuV*8`B)RThGK03^$mCn#(IXj=UT!myFxpoI5Sx`NefINSd z@A+pdUbe83zA|AWh~r+}vRDvV16bGAnlT4Z&H$4@Y`;8E77rU@1kIK!TTIQK;JfQE ztuaoqs{=^cA|rk?WrHh&PhP!o^-bUh>~W(Gtta^^TMyv@ z^FFn49zIu}WqndCNLA|CE<*l6V%|+sPU3m3ZFkrNm?8lU_lc0Z33{YnmIj5k)<>>q z%zM61giIsp$Gc^iU&+S;z;a=6DO)vH8=KLrE+tklzdpBDvWKnckJ>mUyV-3|c9TDJ z4+>A_7fO6&L;lERt$bjiEGyRuOf3(8Qyu?|7MTujrk-C0@~s?#y>< z<7RXLoBQqK)VIn)dCx#yloa66g;-m;8C&aj!9O@i-0cmz;Dz1jb)UvrZcWMexi4w! zI9J!#*RlO4>G+sNjy?6@?-6CWCm8we%?bxZSZ5Om8|VsM3PS62KYZf*p658FYIwhN&&c;!-`w#MlyPh1#vF z!V;tvX2#4zOpmNsgg2X@tr*HJ^Q$aAsBkOW{e@L`-ZL)gklzIrFnQ_kA4c!+FqZ+C zf#8=2R1juhz!?|c1`N7;g3ILC3aM8&0Fd>D{j3}nO%9A#5y1s2nne_!i?7=f;EZ_l zWB#)Y=Gi#V!?9NDt4r~r*I$XxeClKI=}&z)e(vX9k5^y07q@QS$i;zY055|9z_#7W z8RG5MAdUc-?T$-?IJQ&Jm=r<5+8wW;;i+M;j*pJx`0yxtolcJBJOen%$+lKyT>)qu zciKbgZ4>YP-Mx5scR%j$9K@4@79O?$6A%Oqv#Vmh7=ZNXEKi;luyU<1CTM~7MTpPi zt6%#4c=PoSnZYYL#(>S8oj-?f%IX0#CzUwsRifX84=?6XH0udC7XV?W;pzeMm*pxg zdIF;y{}S`i)z%$%$#AB)ORo$mmjK=MWZ{>~0etKvAVFtQZnl`pgYsk!K8I|k>%pz0 zOED$#;zS91VT~kzS~I3o&V_9?=61^uc|IaNzhyd;S?)QZh--LO#VL=Lw=GSP0cWeb z^=6sT-avMi`L$@1vQZD0UUd^A`f9{z6)Ui}9`8SEr zJ<=@YEr(^!Zm%rr^jUc?U;HVDMisF6+SP*1ul>LODdjsa`)^}FbcClZ-?EBykS5Bn zJrUbao&Y-U$2N}N;jv4XbYgL3HRfv=(3Op-&Qqtz>C)nS)Omjn!09Fv_P*F^rW~pl z;I8BcXOm8ijb}`D%=6s6{MFMMBP&a=Nj9@CY(Xr~%%*%n5EO7NfO80xv&5enAnUqZ zrOxyH>^?;&8pj|gQ0|KUw(J5ezO9U?Kg>Jt_|ep#>K5ac@8QNFZ+An?-*MI^@}6-%35^cwElv2X_jxp(MM}bz%^7 zA%VCc8>Tqaw>B0{Y3JcHIo3n|$Vr;M%lFiu=}3b=#0K_e7K~8dO?{$Kgon(7I|j`y zEXPXDLf?Eg_rgPdbBQpwr|gegF&rJlu-`4PmNFD)!#rg4{Jwl*nYD$v!GHzI@^aJ4 zvr035;qlaI+*X%*A#YF9D|`=F^u2uM-NI{P8{WzlZ0ttgKE|G7$CDleq(Q>-R!Piz zjoNZtcU{fpjl?8QaBg=GquqXr6MK}nCONHqE?&8H8)xtW4B%!Xe4pFXdMW&hCA6H% zp82%SPwlm%b~0Yc^H&9%H-ExlbLa3qD#pn?mGm$LTZ>h|8^Y%#k~DTyURe&QFryiw z&T_mDIW85=?K77Wg2B!JoUZ-YSZU^1nj(0}GG22IqK6Qt8h+BU>a%qT#&XcO1h&h^ zC1Y&jmGD#Gkc4!6zXC)xYffuuD%dTgKu{_Rn^nDp=zM@B72?xD9_+M5)=5lzG3d{wHKl$bx z@#&9$C_eRbABj)@{Kw;!m+!>Q8ym5*+$c@_Fp}F-w%Z4Q%fsk)hS5c_wOai+#@O^w zunywCaK?^Vh5>95cDbVVF+j16m)7ZG%myiV8aG5efx(D!+0Fgr_$c0cx*HGokK*m8 zJ1}!AT7yw`MLA0wY0e-m)046we9LiF=eDAfnB76%&Uzu9Aq^2XJqtG9xI(Zw9Jb=Y zgFnGv7{^)vGLH97;^~tXv^ver2OJYs0c@?-Z%3`t#3ATmXa?|+b*FMD`~fGxKej9a z;wFIe>|%ryG~~Jf%$Zye9sp{~q5zM&S9zs^fdKMmQMwu^>1Yo9Mv;kB7zBxxG?tKg z6h0~ns2u)AVhDUIFpxQ!2*5jI3#;EAV+h=#sEe#{p0;+9gsp{HM|>d1MNL{e=Vt9r zZ}M$hJJ(8>Stiso=wWO>-i{|vc4P0b6{CyU*x5UXrH!o&8mOAa8-70rNWu8X0=mMncIZfLqpj0^ zOQY*{mkZW)2S?=yu!vr8QjfJ~JnP$?an#wiVkz_1ojO+IFZh^(0GY*lcFouf>VITG zqnBHuW<$Y5#<(wFQ__?dfr4s3op$e`ugqiim?a;Sh77L-78d}QOXPWGr4eV%#TWzH zTs!%ad}#v&E{-2Ht`mPu++=b*wr7CiG5WF9AH`8;lncwZTAlocV?vvhxxPTz3G%tT zDez1t=1AUE?*n)&OC7!9`k&INOu{VX)lNdO)C*;NHfiwg9FD<4mHa9fmf6B*!bSF> z06$8(U%PqrOCLS@-Zuc7-8ee!0yf``_Nbq&nwCQnP=%BF@VE6|=pr8!T}8Ptc!EvH zG>OA|$tygCW~F@cl3-K)Sb{v0kA0f=R4`?CEVKqB(vES4_S1u36B?EkYcy2ykmG>o zZPjdS#>Uc(Sgx-|Wr7<#bj-yU?LI)R`!vR*Hsx|xonp_*VVxA7EO-W)A-^`-WJdXy z`YiJ>(SezMc`xOf!}|#!6~gBZ^=p|_>pLI(pYQR`0=Q*kX)E5}+lv8ZE9n=S2*T4| zA(uA(t*+dNt@S%muhmKAG6qhVZS6#_yA$W*9yrFvFCXDxlKe}zZ|9_=GFEc}<|p}; zU$b?W3Usv@sbQUGFR}3`dzOd#`06iy1+e*IzW2k&-x_T09lr+%>Lx*QwjdOj%+6G< zE^55WazSN@qKUC0u9cA<9~pN-kjCs1z%qa8wEKFD@iz68qBb8Fv%XiF(p9=Ar=#c& zx}0rMg3u6n9)Ye@tB{AfmQWVl45~O0beFGi*$nR|vyuzPH)Q=;K{5-B*jQbST5~xL zj@kf26{d<6V@&)RJr>@#tJ~#mT!&LIYHvW5a;S`!0h}u+jwYb9PFUn#ZU-mu1&Eyi zHeC+HnWJ~EUyILw{G;)!pZa8c=~sR!-hBC9T-(Is0$?_q^~|qpaoY9U1%MwO;*qqv z*_wHH&;oE`G)4gHQ(MnUC7+&*FsvwuxLfi*P?vw6z zw;SKZaJ{>`7rSkk5nwhZIa_6=RW7z%I5L@1h7w?&j?Yp_J0RZ$;BC3eg?SBU#7iYY z-En^kNWSvr-;dX?5Nr&x({U4!mbzZ&($ z4RG4Rq$_%WD^ZL=nZ!V1D21GLeyQ`MVpY-TfY_bXCyp(RMfn(fw|LnyeK9b_vxO(% z2l*!H%310f@<=&RffT{^;8*gh|7Bh0VH_1Cc|e8)y18a2A-CVm@zS`@mkWurx96ucArxCIn{fb*Q|LOnff0G7IpjWeJ2v7p6B&`hT%u#QW z%`Qd9I`#mZhdP~rB8SDCAhVt0!?^$b@5Z;k@r`)%OJj(%D8svJ6AIZ0FAhj-PbPW;q(Yv`?LTT52zE*UhJdRGp04bdDc z#`ltEiDx5*t$^}Q8bj_2&{NikcZPZ!tKyuvLz?odW?R5%8iE+p5X3qZ!L#cGyEUsh zcIeSQpuO)3DLC*hb2q>ipg^Mm7=*1!={#!AWCuJci%y~vVCRAOxL3P}GN2BxIK<2| zp&ZCH&k`EK zr+oNL6G5O)1{%K z#3`{#difsoa@iyIHP>GIJ!K&i$ZwdY&Y@0W6FhM@)>gLQ`O>P{=^jO^4T#1rULvPc zMPsXN4Y^R6caUqH9%afp&O;h=NLxvv)0uV7b1{|iY(cgxCi%O+{MC5r)=wC0?jAls z!E};97PaDQW<+DQ40ZKF+d)K;Eqeos5orNTWKsscmD|K zzf2J6IL>ncjfLcWh0}qqIeCbJ3K()Zg9Mai;J1Vjd|8iWEGgeWdD+@(7>Uk zI_KIYkrwcPkqW?F8!*S$<^aDJ3(-djj>+Sxl|VU8G4LAmxtv@ABM{;To1kAEUwzk4^fmYT6tMO-}9N`E%{6mKw-EGUH z1P-Fyq{IQFL{X$j2mk@R`Mo>en(NF%P5yjVo^#&=1cHDXC`NeK&Aa#6J9qBPl`Gf! zu9cGlMNnziURuJ^K64_K3SAOp`HLS(WhyAaX9^i^66AqA8=rIxzU`X|ffB8x>`~IR zvD?O6_}?+5oagm+QYP|$$$cjgO)m6yc4=#_-Dw$0zHK)t_)};RQm_a-X;X6;j=4?d z7WcMLmMwl4k9+nE81gNIEWt8mH@kVyG`&u4ZQWHf1|YJts6_jC5YOLx9!C$J#qp!Pc=q9w zc=Xze;p0xL357~3Ty~Bfpc>L^ny#MfVy!YXQcw+CzQ`hS) z^5(&VhZw-8vG1~J$nFEqCvAuLpdZM;Ci`V)6zxZcDGRQ!w)7-9#LDshIxCz2q`a_P zdP!$|o=t0d_&dGo8u0w-EU@kbYw1}-$;%6_0qk=@P=UkYk4yQvXvL+BO%wSh`KXZ(t2jZa+&!RXjvD^6z}QPbclexjW5b1pQCpaKc)Q@$A;}dz2VS@bhuDY zJ|jlvC9wp+$!}&m;aztEG9T8r^{W$nxQ6ZM507FvI>or^Wqwn(kmr)ml8+P1DTVzLCLy-jWx}RXOD0m0FYgOYs!l?U6v3GWcdmL4CXwYptEwbr1CEyXEWcq^=JI*Je-;1L z&;FC|KiJ$qdWeN9*i^Y-)&U6fERhJVH6~beKU)E*UP+ak$XTMy2BkX?UIp!PLK7@% zXQ4R*oYtT2`Z)(q+v`GsY{Us-AcB)*9DnHSZvmrA9;K2~;AnX!L22AHavN}AWWlNp z!tM&P%zNh5t}OE?_;oiN*WK#sNj$Opc@jfFRv(bnK@goHbWXU}$$J+u;yV<*lxtdc z!LE7IN^|?QSMT46ANtfM;zvLK+4#&GFUR(J6Uz$A8ewG{bltq6OBS6V*ba{XmdCNb zf0V-fBmtz|Iv2#H5yIe>#ou}*+zQgAj)r!XQ5TkX#wdbu$4?0ohtU25ETVT&6bC4$ zk+er~DHt5wex-YWP`oJ?L#8XgrMX4(Y%M5N1=S1l=O_u7QF2oLd?w@ZpACRm{>XHG z>6iYi_~a+A5p4Dk;@x+DHwGuvUsvyo4e2uXh2Pw4CI2}=Oz*?svKPI}enex9e=ozc zJ5&1U=^Q0ca||W~%CzNRsFYWbyzml5FUwqcj~g^hJu5}|aL8UW4U(1-V zlCsZCZ+gnK{PUSdMw_-Fe-z7^!}xwTyJi5J36Lq1-RzDnO|U$mZp*mNvb2+4Pl4zR zc+L*eL1?=z=am~Y13Gi@c)gtSO`fh1$4N$xCD!BV8~kPA$P-V^m-j3e#Vo%qKfjG* zhKqPACCl<~ByBib{@K0q(huP9Bh#Z{H~KY$%|HCj|0($;%L~8h9TfB=aGEN@q%Hrs z@3)Fv1(_ZksHaELAu{eAUfSkGxL)sCs}&6Zj-ILW z1C*UF#KjPxy#)jkf%}$S zPMOIx<$Nnw`M>~1P$>(Gv4;|)P1_Bb`aw_vC`!-{X^P@6K+Ri8OASNYAMXh`3$a}z z_dE^o+z5m=FrqDVD0`;|AnDtKG)YgaK(o3ySJv@#;zY{8vMBg$%%^u$(53DOq<_)X z5aioczG;5Y6P7pMChzh>xo`R9gA!idah=WU1)GoF`^)򇴽|Kh2%Ur~r{7EYH zouDuIll)soue0nrVlXPK#*}-cMG>;e<8%q88#%6OB zV_-2(!5@@@I|WRe->heTJIp1^N?~W-OrK?*In3WI{PNHIAi(DFhgg0cvM2fnIMT>v zIK4$V0}MjCEmfmlj}>QSldtUdBZD%RAjU#2Vj;TFuccS9&7;^hws*2o?mu~wI}9y0 zmg6cdLBJ-2lJN{)yIg{^t(}6eAa)&0D_JXY#u(n$8&Kz&v*#sJ5m1uS%7%bcie3X5 zb91v;K5xJM4h%R-&wvBe^=fH#>xsRj(tB8Ehk)W^z+4B5e8@AqXI7f^*xp)?m+#$* zPk-w5c=_eKvAeq!tyUvy2--y_*r5E+Ts*c7xI8=nU>*W6U5cmxPQ8_O16ZBXRG_Kl zuUE5=)vebcXX;b&smO__@J(x6pxo}p5yHOR>7@cl;E8fb01vHwM=ye7VK3ZY{fzo? zF=(p7ZhyPLXAD;YAK+|r&K)?Ym#x)>xVhVi)s-cLuT04^?mG}%V3)HFJs|Tx`KABW zwSvvwU_ZX`?!Sz2k9Zg%{u~MxAxR;}Q)rrv}U>?JuQs0Pr%{|9! z)Xxz#7*gMMPg|BE804B_vC2xNjNX+_dOuX6-u_5zz-!Wjt5iJMa1|0$<;QdBYMt1I zJm>pU^7*1-#dQ;H^d3}C9=?}(;5Uymkh(v~GU+PxbL~#MNCco299#oGEB0B$wTdZVaZ%*O=zv3M~?=3d1Fei$M%T#6^V*p&0~E#DWc zIX;oBS%alc$>W8~p#aF-7u+7GcE1-#y>^^0!^3rDIh-LdG%mWpabN;sWvpelkh!7= zOm17qu2i_m;+IJ$>JnxDS^l2wOP!7d%W3=LFXfzV%|Fs9!Fz-RnTy3cMOoArE>?}2 zP4JQH$P&LS?Czviof6OjdEXldxSep}@?*3ozUP-6zwer!Bt^bl7<-6bD#|@Qsg&6r z>6}@=pjUJmp-K9@p81&ph6I}y#NRgbX?Sh-`oZQm-ujF9gSY-P_WRb4lgy-lX6}W4 zn9GotIA@{v2N-A6 zm3(Qk#*=4C*-R6jwY>R7%cA_YoTSO0xt`{PL#$EglnHs0bY@;cF^uK(NO`B8<$m%n zbv{dP5xKhA+>9PPcnse0C_1D7&HU#4GVOmmwl-Y32AND8ht@d*z0-aY=ioIJ{49r6 zXt=Yn8C~MIKCMTQDFygD*T&UU913Guvn;evgJtl@_CSPySws1(WVfBl z!{_A5K%FQI_%DUIjYPpW6D~5G3%~ACANMvYaqoUJUVdX20N0Amb(B`Ciqcw&mD)no zD-NoseisD$m+_0g_`i-f-uQH;a~(%-uovHW|F`2}K)xr-VApkQ$xyd#)Hs*$`>T3Iq>5GxENNYR<_ADo)7; zDJg$G;*iJTHRJjq>$Vs%q*`6Xem$TkK<*f1{J!&dt z`Iba3;r+RlS~ND+qCs1zZ?s}{XDzOlFOWB+*K8sy;5U@o@&xdyGK3!{=Xx_ov6w@L zisx{_vCPPqL4U;e{U-HCxvF;c9QR_rk6~-+kTdSTu6OhJ^i)R3RXPMCZu?sqVfyTM zbFpd|9Du95n&faPdC&G`Z&amPOPMU4fZ^H3)CUFJNE^U0a?WE0f@b`rJ}7`eQWw6n zS51ea`+VKI*dYnBrp1n0?ue7oM+*cozH#Lp04TmH~-=H z;!i*LN(|1?OYoffHkpx}%7-2w2ONcN%Cpkr1ebDnt%1%~pl-|BI-MC2wimscvNB&tERaK1IOi}4o`1aV4P}DR_jxwD ztLqO(05&o$LnSjH(9C>Vm}JIKx(=48>{YA;%s^1^l)@IlqjlnLH3G3Rpk89k#Rza$oHPhIgpP+o-Re{r zmo)SYLTDIjx$3&1^Ktv;Zq6`&{OmD8WB_oSk5})u;`KYb@%r7nacf6cHI;%O{_N|o z#E*XFjrhzbUWr>bwgFp?Lt2PhqY@Pqf()!haC&?i2YW|xa&#KUfJ66aALP1kSjWqC zzAeZU@F390qYJR>$(*=l9r+aO*o9@c)nG7+Q$X`G()sY{}>0Wyyid@#hsMgtw@ zDKoF7>~rQB5H|M_wku!IS)=hG_w$>MmvJnNPJbELx*-X|Wi(NGw_5f1#D?pAEyVU~ zYq9g%R;+F{Vs*0tkXwnZt!8X)tPtujJ>auhiDrE%{{BDs<#_3p>sx2DH#~^9KK$2l zIiw6D7k);mRT1_W3R>-+kcS8#gE+h`FLaJr{I@v zbcg%lcwHN08b|OGC$3W-5D+TzW?plKClzM$mWTIjkT%*9uUNKD=z#7v6OAa z5BR5$lAnFV|NK!W#C45Yx7yRAkyBpq8i9uL{|*orW?V)wdm! zniGlupE-*?_mj_5$%gsl(r*DI6U^keUT65KgfSXJ;OX*7cC}+!Uui5+hLo%bZ|=%Z zremIMo0cY(QHK0EJ<0{eNq#Jn7!iJ8&rl4odYtfu?1LMTWw;{*WjzN<*(h`dOPI>iJi)UYr`b~iv+1M(j@5F ztTY-J^PDjdm#Hf!Kx&|Fwl?F&#!l4F$;0q0RuLjq^5?Q}mm@$iXLpeqkKu9Z*-1kJ zg7mf$TCMe1tY-H!(8Xja78=R09+uiIR=ybDwplP zbv;U#h*D--X9e8a2B97KD&zSI@UYBDOMWXijSngEU3G(PH`|_1xR$@l+L64^&3qqv z7TUqWq~X#t4i!_s2@nNIdZqiPy*N7T0zS{;q~~&Y4o?Aak*Zr_3NV}0m6JwwT2!#Y z7Z+?3mpKkMfj8-=9)gaxdv%=v)Njqg-Stnx2bSgfj$i%Ve;RK;dp~KZj+HjbCxMJ~ zm!3s#mH0FM)sV31dq3r&ya#Pv+tjtHm2=Ws$55G9F^B#ufOCGyCE1W2S^pSOe$TX% zo%xn@LZ)S!IHZro52#$Wf^_(yQ61Z^cG)Csz2Km?edcjsbi8#?c#`M!UC% zUKMQegfy)a4~-?G%Ll$=TNG^ijoG(SR$JplD!7OI5RVp{am;t#BbIGJs(4ROJ4@H# zxAUBYR#px%z9z(JmuVvjDc<%2sz(}Xme+fSjuzA{fPUCm>B1KNc zQ7Xo=WW%fgaA@cPP%|gt?cx@2x(7H_MWtLOm{R#yXpADBA?VxnDZ7JS4)oq!U5}Od zYIL!P=WMJHr3~nv5}b5r3@&5UNQ`S=3C~| zDw4?CYin`$_HBT5hx{DIkN?yg@%R7U568>*?;-pmPEJl^t=WiAzIs1C`O2NxS+8NK zmt`^|m(2UIWCsKW-ztGN^_ zYqbQQ8`}WSt(Dl`X~y6F@qZXMZeHJZl}-?P_rV_kHsL+MW@Qu1ZWEwcU6xMHv@ztpX+wP6E#CzDxn; zQG{J4!l5uo3!Uqa=POWpIpHaRre04y0ghc3i1Pc&Noaa`Fm&9T-Lak*b{Seu^H7e= zO9D{6oho3@0#Li!oz1>ZD3gk^tDR>K*f&R(ZRX)Lg)9qXm>G!{$!8YS_}}?2$?+XS zN$=Z-=HI|<^gsK9U(2zS)_qZ$1x#9YjXwwPS22+6fp9js>-v_VFz38C9~`f!>+?p6TkiAIAZ^tgX&-WQdl!|esUeDR~XbI}p z*|FRQknOIm$I@gjdXJA|4w<%u96omsb!eh|QZDOBvHMnCo<=&5n zdCWz+p{+Dj@h9iNQ-$}Dd4g@qY&vp{OV`xu$X?>oO39y`DE%Gp4?pvkBuQ@=^tYD`mxX-$I_sLTep6QvM33z@A$$W{j+$y|B&`Cb<7=gEv@)1-Q`{B zJEO7n;gF&1KIfis|{qFUgM-E5j57zm%EZrjr2KGI6Al%k$Zx+?at)3uJn^sQdRDY#tmxB%=d_ z4HToq?tB61$f#DX-_|-S0&wO%)PgZXX3()jGM9`elcp8RZ)Z-A5Lh`wajp`#Zr+O< zH$dyeKR!OrMRQ$Z!iu!AUN9X&=JDe)e2!;KL2E@zW`q^rQXong$3f<}5fhQPFh?#A z#52b++Et|IpxJCv(e*eydXAu)#GO0afJv-zfS%uW%|?gbxb#c~aA{Y%ieD>R?`hAS zeuyhT93p_o0*8z_wT^8dUYAtSTRAZ+JC!?ZJtna3hX zeeOhx%NO13wCQkCk&J5j6!LbnJAA_>lpMqAxpejVjcHB^3LXKc-M;X5cD3u>w7cE0 zop!gca4qn(4LFQNYhNL4zAPhhz%##9^0Trf0Q+l#6Rp18{R|{lt_3{*Y1~%*Mtt_w z>jj%%`HSC)hTsD}Bnt`r%!@*PWu*p~Yyl)IwDCz!#5tz@Yh21R8sh6~&1eF89AmAl z$lZIOpS?lWv*QVsWu8?e2@;$I3@zqen-aN@oymjAl$I$2E&GIMmMexlt)=7 zVe=gsiX-`*bUZ7k9b2yKTSoS!E}(6cc7`(L{dwZ5ma8N5T6Yu+$jpTbx(vX$Ks`z4 z*+j!xuaHaeIJ8Om+?zT-M%0@Vv2vL|WWI3)zH2MhH1NwR7vz+3raz4QIdN5El-#Dw zzH|FWN|~wwKinGcGVN49zDMVgj2t2B|W#i&t@8oVzheJ!0nD2H6x1b&g! z>fqwxYGVVQ zSdaCUooH286Clla!Tjok>I_Z^hqRS8IV3U4njS#XS5z9?Qsks#^GzP)k^B~+cr^=e zNt@Y`e91dfr^qqsR(RFlM$J0Uv@;st^J~T{@B6?yZ`D`%=29+Mc+P$Ai5on8r`6oa z-GUseZPvwRZcW)feG+HGQxc=TGBUsvTy|@HD~-63V>Nlf@0XsqQU=SI%a)lK`4d!& zr)-bPYo9w_y8zCD?>ztF-}y)1|Gm*WgM9!|pUgn$Y@mhl45?hn^lX`qnTy;)C^S;= zlgT9*M9}G;<91!D2q1$@CfIZMdqEv17RSUmheo`Th|}GD=2kr+f}SIS7L2#Ei0&fa2TDvqd3~z zi=H#WXdI45q?qK{m-Rph8VBKG>n>q5M!-1B-hhwFA|zr5;R_vplI# zY2kwFU98#tlTJKqpT^;M82h6^91VKW705y-#nL(H3~9V76yI|U6@&@0g`k9KtOw$) zAbgt$#b&hv=Jck2ton24TX6Y=JHUOe8--!D5 zT6WRvcF2Zq-5ZiJmM@D;eMNlY)t`;6jq3xO?uGvN>7T`fIymcCPWX)S%-MZK9xE<( zOTMuE;@q*c?!KbH;%_oJMcy37PUA-0Y`sDG8>t{I%vS4e+-SWFA7K#>kKrx1kfbgY zMAJ4v5`-dPvJvysdde;&D&G|m%F-tihzCjik}o+?&`|_Qd2Sc^i?pYQZ7GBA&Ek1Q z9OKRes)ziY3Y$3Q#bcI~_fn|YW>YZAkqRI^6i)PWLYYd$o&*4m!w3YPfX*_uQxB*> zM=F?a%0*Bv*vbm4}Zg0k7s}>g^KRuV`Cq2E&GU_aW;FNo_7op@l6<|@& z9^B)Z%h2f|vYa2ak-}I0eRS}IxSq=|frU;H4W`0_bI9R&WcTGk4?AoW%MOj&ZN@Uj zfJxcbq!dvzpVCdbI~O4x82nid^%*dX`g5tdi|CIpVnAJvkt>$RGT7s%Y<7L-IgIry zFqH=TLLG%pxV7N~p^w`2bsWF>M}p1A*|w8jDKAPrSms%NpBvs zQ0B{*f-Ju)4NBQ~FVpaz{8i}l0&5`O6U&5xy*j(H4Dwi+R zJ~U$12>&fF*U_!_!701okg`KpdTTrTG3Y&=j@48@nC>OOyP1wYcMF=y?c6wmU_LFk z!?To&`5it|dRWCU1&Gduc38K`_t0C6^^bq@AI81i?=#r!_V*HON|o#u&xR(EMY-OE zfvALP6-$*$bc?Kq_qUdbD5tm zIVJ&~%RK3wBf+#(`EHU3;!1QG!m$f3ljNG1O906E%W-ZK=`2n2Cs0a{CzU8e`@YKA zE~y;APpdJHt!gs{C*2tL`zh>g9E&t8OFPW&?28m8uF-jk#ea37l11PHwq3815+{fd zc#K^}1dG3)-p_toSXwMSD)lMleRNdDU_L%Mj>BO;M$*giRS3B&8rK>5?^B*O^f@K1 zw%s*+-!(y9s%cEa&aMw>pmI@Z@ce@3j+wb~C;?e=hPGXG3zQ{i@Mmd?keBJ5tRzUf zyyO|hS>9ZV-B)*GbPv6Q@3=EFPbD`Dd}bt`BUwUFFlK zU&5I0s{iS5RHSZyhd zfaK@pW~@|qqgA;RmuK_P`~+GLpxF60D}t%OQ5dA6A-JWVMuxnlJh720tddHk?b?nyUS7a6U%^#QMz*qCONf?|| zlwIs2;tz>5;Cn7p<9){i(pH_pp55z?@pQbL-cA*~ZN_vxge>NxSRJ`*k>-z!$HxjE z($i^oyWQ@^(_v7Ym%J3EpEL3QilE@mAYDHG`&+_CagiGzyKk@?{Sz<$H<{z>I==Ch zf1TsQmoWJ3P8TG$R+|`s6=W))2EbUeyBm7yxkPfsA~Mt-7?pzZsRIZ-cKIQ_XMjn0 z%URB4F>%Mh3HDLo$hRDN)9ohU93wL|AM8T2E1b%+(o0)jaJC%p@x@Dx*ls^27{UU< z1q?PU(Kv@ca%Z!nljt6HF{U-D0ZV3A@7!5n-=3`j7;wH z{)Bsa7hSzW%BY)>3TKM|mv!qT9vrO z0EgMKH)(M~%kPZD;?yPbo%3urJ#~{S0#xRavC!4wVM`bnnseu8Izuk0w@I9~M+rOy zV@~>7#vpD~=c7(&05+R7*H~PHo}Z?yr9EHQ@f%sa$||nC zpJ0>U4nZqNR#?j0!mrc^^tK+952YTnrOSHUFCg$7T{Ww(1epNS?D2q(Zar#m;NmiR zFcSf|p%0ZaITVFFs_$$gjg_^i*Egfp*vc;Sio+e$O&l88WAH|Q+@H=rIY7o^MDuRO z;koj52GZO?FxwW-lH2%>aV>=TOn%Dze8g)76g$LC9-GpQv@#^kNO(5fOU&6=~0V zx7Ie|4D8S+Ue+rKsTZ>6fU|l-ucn9ZiK7IY$_R~hheFy`y`~r?m!1j#=qG*vVDn(_ z!|0qI<>2Pr*&#oSFrqRfVD2u%ga8l33JhPmo^%ZAH5BI1n*(L6OWD$2;V z=bi1fxOL}7tgNo2_tUM`TtjlgN08|;02uc9JpfP+`Q(U#jNqm|^gkiJ0q=~U>j)Yw zAQ0;t&8W1nFaga2zeoGg%jX0FyF5nR6GXe#-a>Oe?tcDmY`(l3%Pj|StC&hX3O4N? zngP$UzwJi=^o^H(I=0rnJrn*Qj>)7Kd(XZaLzMBw03NG2@k#{>ZY|7Bd#NMkX7`CK7WJefH&-Lag`WS@=a zOuxE$SAhsL9U@|z<;;88Eoj;KXnxP!l7}=#Q62*L+@n2#r(Pm>aNhP~H&F3(k|X}i zy6>rQX2JIL@!zw1-yHnLH{Wwu&$s{GsNIS;UjDDM?ALWnI`3tVjYD;sEsPjKt!}%5 zvQvelw~@kw!N|IjT{tVh|H(+`0ph z2JWa2z~Mb5ER_~>@*(n1gDJZj2?9~q@H_*g4%)8giPA#eU(t>h0h|UM2`A5w;^^=s zmsxA~hw*gZUCjEqs>k}4Gh=IUIl78<0BD_ht&q+Vd1)Zqs^nDA+JXieyJzIf;Xuwr zmmjOy=1{0>tLd3a1x=V4CDJC9xHL*0)(eU(r~HL)yswNZ9xZv1CkaT3?1Db(FJzQn zH(ri8fb-dLmrGA{mMlcJ$`FAFWp!5Nwgl-0#LU-bN?B;t`hnC6++;1#$Nx+`4QKsU!I@~%t$K?&mP2%yf@IbewSrLw-JYBl%1=Pdsw4lrf-thKs< zOkGc~*{rQ*Pe93c0aj&VP&-ch&(QVuRFdndd=-=#b4Kmb9`$+`FXkDFQXrfdhA`tn z58Io+EvJCfyEDmJWUNQwMfsT*rysHqzT>SDOJ29^EA>_!b^6gANe|^X2W4DZZp7xs z?O0pe4kw%W-NDe6Yxbhwdlu(_>D+jRM0GgrK$ALc>ST=W^B$j(;stDySAGjLbIdB& zGw?3nvTa#@<%4xID~rMGd;Wod%|HLsFGjc5j^;X**<8(xCNhQ!R(=vX30|z3IzrTj zoohHwy&V>WXfeU6Tc*J`U5q&6k!{k`;unaaHPUj1;*aUJ$&sV zbk?z62~VeIc5pcW>?TmFbgv6(wPaYtZe>iAuGImrb5_4cwW&U z_Mh&P?{gIE9C3JOp-zL;gFrKbnz<30B>qX*Ra54D2OfJmuhC z0#KWvccMxt-Rz}{o$ER8X`l*1^@6&LmFK_ey3B^p@uA*x5&FDdot{5_{n5EmyC1K= z^oxA!`i{-5<=DA(KXz{3<$N!8Z{CTut<7ixDr=2aETR+^FnpIA%~;#sjXSTr8n1ok z)A7b04fBMt$$%*iY6xoz98)~e|#)i7`t zxCXRJe>9km4M%1RvL^gK1B9v^1$_{Zsw%ub0zeK2cwLdcnOp1Cl4ZKV-aWXC0- z==k6ymuG|EF#tsMdc#;I56#sUa$MPr;oiT9PJ0w<^|e?!}dsUDMF8Otvd*%sqL$ zw3*rZoc{S-#|U;y%mFYPo2^(TKRGOjXHLrMjR2ZJWxtWZ$o?D#!(Wx_%ZCTCFqq`{ z^($m?egXYrel!T(U)}xSH5jWam1u3Xs2>5s7QZnpTp0j*kI$ep!dAmx`kesqPdcMG zZja;WbVL}&{hL2ZwG@xjbsd7uCkKzR$!7bPP|&2v2*HVTEZ|Ke$+-cAo<+8lp;^Ki z0lx41?(}`qFWs+2-Wb=q@tL}-08?lU9gT}L;@k43V2*E?YSKeJ4?j%hm2*Wv{n2P_ zN27{ywz3(u%12%3>Mhq!?hU)p`4D4=;C|s2IP+b~qF2+r&#;Vn<#y^QHKK)~j2{>uLl2hX3yjoq8+zO^Ext0BFaWLgi6 zLQaA&yYvzF9Y-mNtw@v_XD zgmOn{If&Ub+yYZ;&Mb|gBjmGnq!L=HR`d7qNjIK8Ig0(g4%U$0f!P7AcEbxcyL@K? zq~Ewzk2n6-JSVCcR_^(Y7@wRi)>NBs0}1_$*38&x1fijZX#5yWLuy zYk{Z05pd`X_Y5Du{&;BeUW?$F0GRaMZy)T&FXvkAR=j@y@0+7*JLcyn@ZJibQee3f zOO=(VHdas|tylqUDpyxpYth7*ZxGf2D7&|B$M)^}v3cWuY$4RQZvs|t-O2km@7@Az z-ioaq0Bg%7UmPan`ohRDWRIRrc~S#h{&6W34eoQ~j_dUf>?I+NJLilOlp?c+IaCkED=4UGI+R2mg(P#L6w0gy#*Oh!eXw^kduG?S9CeR!M`D^J^l z*gNdRGs4QoCgp8JlXkdUYehq2m3#>pWx)g>wk3p`UYJ~1oV=;<9m11i0OiZVP4JZx z8Nfk0vt44ct2W!swEZM&`wq6II)U=0?1C@nIXfF%kE&x=)B8hy)Kz+r9fIIQ6~*Ml~n=~3ohPS8BNilsXAS;ueyY}&29NE0z{u5nshK`$bwHDr;L(EJkM zER>F1RbOk_g=_`BxC_^K^-mW;Z^A- zEvW}+t4`&TI-|`?59FomM_ajqPxYO^&S7lUWf?E)JMyXDQwBmAm7H})`RCC;emk>4 z+VY6t%zBb9tT%TIYScHg18T1{x;>#hp;WP&Qc1es-KovaWZw~oF zne|Z@dMRJ#fw*4zTi&uKN!e;T%ID${HHJ7Oi(TI3pK{t>D33zZ0zhZaGw_o04P3VA z*@?>@A!E5`(BrweemgeSc5;}Q@dv|Rv^xjU?>>u*T*SS|bNTW17W#}b>~)UK4Q1jL zzLkI)T8pt}Ud>WI;!r1-)RW-Y`vq*mgJjqD{HSqD5N!UVxcB{@AoMSP?N{O}U;0vd zBG=Z}sbDIC%9L5mgyS}rWi;JwGU7C&HWnA&Ert20^2-d!LTr`0<11F`O^8@Yu&Fmt z%XWhBYjFR@jaymyrzc0~Ch_vGn!Kb^*6X!+z}d z+Tam@OLHaK#5;j8Mx-}~GAOg*p%M9WeMIy%K&gy_x;!^0FaQiGlbvDx9vz$l5Vgv* zbY$ex3c-F$$9O*x7B70jpY|3Kc0cfqEU>Ex0f(n!J0*V$dhOxGY!d_g@`+8?x%-lWtAx-k9<5e7QRs~aT)LM^`QFcdwUdZ+}Po{g(q_@>h4zw#gaFX&9KCyK?H63$?shWR|} z^_<=N`1QxbUv>ZE!7|KVR^AogQ~Q92o7a3U+pKz#UV0-!?P zmHoB#-ceuhTy6o}XvT7F4FkIYP;t`;0>D(DT5r~(0r)FQgLX>w+XbeF-|?Dy&>Xkz zQ3Ei#>x~}F3uLwH5xWj>`&iFNCqZV1ciPG_^5>Fl?rygKd@qOaRFPxK!V00RgN$q+ zpu|s!+e4mE4mVQR+H6IWIE~qGDXSV@8dJs-QQ zHmkJPI%TP%-w>S~g=dmYVAuv6Su7v8Zk(S_AypeZMdruWQ%jGPKFvg?MHS*&b)R7#TkQ`cF}=zX`DU zIOUM?!*V5nrz|h%4qfCkK}Z2;B`$;~j&hfBP#_i2EMr^L$h^H8OL-MItSK>D6tFgU#7sGTd9IhZuyFJ?O>9ZL3_Hs1{ zW14=mTF1NA>MxT?KnI-joq6!qP5m4T?c|2nU6R&WE)3XL@5;JqgHFAMdO0y$#}fu zp(oL!FdY?3p$%0%oXu8RJ>&6+2r%LJ3PP{ND);;D4SsZ(M6i3@E*2|XkEfM6Q=~Hj z=6Dm7nU|xponEyU|OX6YIPi6?kENX*X6X1#IRRO;Ma6 z$WlT>jVhO^ayvRb>W4?iadOm+g{x)^kH@4(#Vw<7;Tbdqv@j1zVNxg;Q%X&5cobeu zw)0E8H+ySl1@nK>HoI>)d*63Tu--~s)3yEOIA{**G}{4xZhhuBM-2+M6!r5w%IAE# z#O1Evo~50F&u^NT_lY_46qhukZNcum2D6^wFbu z{`g@$fATQ)pFWB9(Gl|OC=Q=JkAwXK03Y(HKZtg_9qp5oTprCG$m}&5kDQnTfE;(? zY*dzqnGoE7VA$`a;cMHLKij!q`6=>316!eDFVS)Wxp`Ec9!{!8vvzG-n01Xo9|;t9|OqBPE-zCy5R!x$jl}jP*@cE+Kb<%co3^a{w*>-?z7`OW|KjJ;UCZG|p zUUo)t;eArRB!8|Pq0;qGzvT>m-nGr0gM{ZQfJx-GlRx*96_$|Tpmdv$)E3dRt2Rl;hlmZP;d}KBVV9h zfT;RKAPUXLj&0Ytwa&c9r-kt+S)&~_;~{dvHL{H^U|(Om6&vd};T3y;ki2JLjP?PT=vkZtpzRjV zgBNaYY=Nhi5{nedn;StR{7gO_6FjTKQdejiaDzcwh~uQ8!yV10{9qYOC{y#AL$G=O z#`k%h%|G~8|1t&SN&6%RbKkmsD_X5q)RqBj$rN)rKBx*I&S5s0#cl{^iD}VU;byb+ z{g=Wy=vLHhVN|LYmy=ZLcAGbIfAvyuyRhvZU2U{trCN)lC(onT!y3g>H$A_V6Ek2A z6Pppw!-|wyvqHINdJ2y=LfjdfT1YBY#~H~u2?VJG$BznN&vHNMGs<=r8yoAfv9%Eo zKm0Hbp6!Ku0=EI1Pfre`&vyp^-~$+WFzHi~Fc|4+QEaSjv1;6Y$hc3s%m3V1ij6JwXvni?0601XF+N3liYADuw|b~UzEcOWdFz?t0E z@sxgCChz61(?!ztzoFDggO5+Parfs`; zJIB!aS1ckP+}zp8vChCH$*Ht-1!-{M%e#-|>6D`rpS1JoEg~!+7}q zyRrZHQJkR+x<~u*^x=be^udF8_V95$=K10Cz37~t5dQ!m2N*nf&a(&c@WFfW}hVV`~2ziIK~K`0A$>$Nk!?f8;9Q<9i70h8mJodwqM%Dn+b-TfjtlKQbu+T+5m#Hs8w78 zu#UW|r-E{6ILD&fbuO>$9UP?RMpTN`=moTzH<}u6ma1TvF!C{eIL&@UQREM(X5gQG=5A z7pfSZ4Ghq=dR*y|6m0Uo@}Gv8GG(INo}i#B#B1tpN9T}su3t=K+rgnF z*;rWHl;h$QF3Qr@>S_+{k=09kn(@C06}e&f#NWg^oB!@N;?eU5sV`DLKxBtv6d52O zLAP@y-*_{PMl!3e(UBx=l?w?>h;KRMxtUHjNq<{-foRgmc*Ze(>O^BdZGFm~o?d~D zP9JXNJ@cfXR<kCPOwY`XAdlT&%=~0mkxj&Ho!A6g;Lj22vT!6h=nyG!TioJiN{Qi`mR^y z7Y9+cH+Cs^C7zzP;V-G;&Qq<}-n>s)*T_fdO?G0?$;p!#^`66v!_2n{2w68U2whpn z4PMeyo;i~R;aBqNj)L}v7}q9mKI~bs{FZ6v)%02#&UP_N&`Dg&;`tYT>KEev_j^(I zKl!779nYQtHX*>9Z|UJYidSEGCD({^Z&_qq3@5`}gx&S7avew~`=H=*+$JSW&||{` z*y-8Sb14v&oLPBPrWNTT>RvZoB1vI*?qbCwm}C;W+q)?Ebp-HHg1}l6P$a)v!4OKK z_#KZ_%3S7Jfx4sl(-Ly6yD@p~BItX7!||ERE?vb60@R94?~6=E-UX-G5Xhgq7&-QF zWpypRo1-CV0Q{c26bbQbo2|G2_~~&#Oaq*kvf-?)tw(cpJ;wvNy`~E;JC-8H3<~t1 zjf`+^_jVruj?FFTCL>v?GN#{GSUc`2g*fzBtSv`t9l%+)5eU{VbL^#EUZ$B1Xd04P zcy2P%B`tnf&FclXZmeC#r#`2mry*)-yFQBaCH2&*Yf}L9>E|?);saR zd+*0Sfb$Gs=TI8?#a;{n+^}Dk60$p6#VQ~j0P=FlBD>xJJu2|rrKbnrlm7)xGO6GJ z;FJMg83IPT09ZjqdN^I*vtEhDnky?H@1Uz)^(rXkyOWKM(H9OCaD8QE|MB4|x#4}m z9{F)rwlZslv^F=^vOUR%2Ztx|wKqSAfAO#XIDY&0{(T(mcL9nEadFg(8%o#d&|s_bG#01nV`Yg)DCXmRnVr9Oa7Ky&#XSCpx!M zq3i`zq$2L4#{j)^SnsZn>`SUO}{)+M@)X26)PG}>!frj$Efi5ID*NL_V zYq3$YZ@JJ^1D?89AG&fzXT|sx4-}Y zjrZSuGuj9o$KE*8ac5^MZr<7^JA9bN^rBr*F$yHulWV{xplks~5j;xd+}(md0i^&& zVWcwkp63}jT@h@;kj^A?D@ME4=P9VOtm+7y{%IF^Xt%NM^^5eP%3P+O*~s)tn%|X2xhcQ<{`yhf#xj&+8T5?FTdsen!gJXo0jJ}rmJrhKJ$x7spFNEel!7w~ z>yBwcXr7M{@Kl5iNrhdhHxQy53Br1S6@i<1^Dti*a{y$h<*>HP@kJ~FHl?0m+UFk9 zgQsb|n2t1_@Ex~8+u7Y9PcRPjpAdgUgTK_Z$zh|(Z%A`8<9D>^RB+NsTF3lZ?A~6E zAN%Qhar<5qMs*Opd-$rjBKDrO_q&R0;&@$vVrLPfLoE&xurkAU}LJh4-wU%XPLQA7xEr z2vFBzP19DO2rA5tfAV?0&40e1!jvERT_5n7(tgT0J?_TIZblwItCPA9Ms0GzqzF7=@Y)b$b_w{5%6?GSnH^~B#9X7@^%yomEH_opF$ ze@mRoay>rt>d%?kYdikz_kJUVc&+9bOV03=vPGKO7Oh*mz&jeRj<=+(*{$AgcjD9? z#Q>ZqN5|RIGe)M`cI8QxgkuR)iBb<kS1sYV<1;$yAIxJ$^f3XeE1Wl!wcXVU&$&E6yrcw%Z-t?Unqe zflQuGPnETSoCW+Muhb)glh%rJ0ah{0SJR{75;&bsKb`=hPfpr7ZuD#4cq`t2xEEi2 z>v6pE?i0WxAe!%O*Xq&4;9Y`#!V#6ehL$>L$+a-yxMct_=rraVfNNxdL$GvxDz6p* zp>y3ycCjxAim4B{S_Ze_#N_~x)tf~3YyfyfFZfIyLiwamdV+bU9LjAC8oO_4bI6bh z$~`wF;d^>M%i5{5G~Xc`wmAXZ4BVs)rG3A;bN!3D|Jon^YCPO~NFJyhb%*WV2mGhJ z*ZH#Sj!J?}%9XO;{1S4KB=vlDrmlrP@Qa`>#RR3aTUTJ6K##N?%Jh+Z5%3h<=4@<- zwwRk8nu;ej1{}k*V2oga?SjbZN1a|VHcoz62svsx~of0 zvS?YyK(Ornv7SwDmbN;A%lu6?@+j#ReLBMuBtsluR0if7`P^$|Z$2j{=G$w3`ElPh zj%SbZf1%Y&x9-Q&<8B=HU1JmcfUMfyz89;2YH4UasE0b8=P~F$1vgBWJ2DmOXNR`F zLYwaa-m^_}-|r{wprt!*iGPyEIn0N~mRQVfN9|g-S2gRDZ_So{@-Uy$YKm46IdiEe)(z!Jkf~cv@%5E@f`Ll}X&ER(#gh*~hTU;4;9Vn*64}st@$v#qOz#GWlWwCAn;OLInk(H-UPP#}Wix_MG<| zJGGlpUtUGYyEy+@EUCC!rK`f#1&;O)6I{Eql$M?2;tIHSctI^Tw|C;ktvhkkWo+OH z*OjdVjeX%pEMC+wP7Y`rWl~q!Fre_IM^>{HFH><++2nn+e0nyC2n%wazA+U{d0+0~ ztgy<-KL`fFf%koHY!s6jXT_e~~OI#O#S=Q?mdpH&p>;FU2Paf5C<&g@NcBn_)u5Wox&$+Y2 z-C@iPAlf~^X7@A!m@;Lh(a2#&tE;VCi`exX1+JJ=2|UwFI&}PIq?~K6v;c*TRQ~74 zHz!{@Ve%3gA-J{s*D;6-rlCS5j$;c|K-QR^KEbA4=PLp%^5x1Lu5z)m+Kg(W29Pbr zsj|84_)b9Wy}P#)aPIFP$KLbfoR!{2W=?2pZmwZl^!plfjfPtVuSBc0N;>2dd2IOw z+2=hhRo%g&tUj30t)J8hKdaT4ktSng?*gX)KS8xKlVopsA7UhfF9D>XM!09kIka-(&>88wnuxQ~)flPNry#?S zUOcZ&$LBOk<)ZB+CuImkY#-!FneH~3E;luH64DS^I+(;8_kWbQ_`(!El< zjb3Dtb)OCv4IR=|w#mauGvZe2Yf-B^>~0O-Y=S#V7rKXDL7hn*faYN6@V~M_OlBja z_+fQq$>UT~X8ue=fMuPU$CCFFZx%8S+%^^C6-8ZWmgy#7<(hv!p8?F-k=Gea+4R9g zl=+oguf%x>Xm6@0f^TRAaECx~>k?e_X@+Q#D;yNEjmxHK}j?ADF-?HHhs4XAvQ zr!1UxHV8H=@VWIh%>;A@6G2ni-AP|g_SUBr+7@m5^Zb*7q4~e)-@2 zZd?sf&|1d`A!jom9b<7KST?t}Y)t0KZY!D80(oOeASaQN_?B0z ze#&S(7qCDA?p@?P$H`O?mULS+5k9-d{o3Arx!?B+I)hG%YWg0(yGug%)a}`51klCh zAY6jPE`bVVwsLHLS{g1e?|}PG7fav#QAYD>HJZ;wEWL$G8sOOc6q?9@f&;H*MCp-M zJDf2G7@Px~y8FoedpF{9pZjdwy?ZknEr4dAu!b-Z*1z2njxAc|y}MhhFvo5#$!GoN=?f;DJWf#EO;pzZ$ieti8e9>u#~dlsihy#$+`lVP+uw~zZM9Dbuf zx*fOQ9OjKD7U(Z{j#ue0h zD41vWUZh06Ri0gD?MFWG%Ozjebo|~w|L>C)dUupTE|ccAlVkYH%_NiydMu@z;7tXq zC)8bsq`lri$A52N)aa>P1DFZWl*uZY+;UDnf(dfz68Lm!shUQ+^`%kRfj0%PIs}|3 zbjf$E7d?PW$jGJoa_NeG1ZZ))mn`-Fk%-` zhNORm4EV&$_v7ZyP8^^1;+^-N#&H`NF?PwDtCYurZgql&eg&XvuaIjmJ4xp991se) z){E<;JXy#dn?CaPjQ4XrQ1Z3_47|MT$NtHFJl=Z}hbKqGosZS!YHTf`6A-@2PC=q$ z&g9md9W9MeQUY$$D(IDuy?@TGx?M}aCS*Nfyk8Gvu^U*_B7QQ z-+Txi^YdByyjn%E{DP@Dt(ffKjp&`ko94l#-XDO$6Pyn3{DA(ImHfW$q zPxutM?AT0S^ONSqW0CeyZz6lstGR)}RZpI`-URmQ*wF<2G&ttmCVxG60K7n&=GXjW zKCM6x(zYsc2%F!wjI?{us?tj!$K@x0HUFn)mab?bIlor+H{l zhTV})<*1XZO8LAdW+vu zQC>GlOLy7M@xvU6Z-|q1%e5ZO((7A{1#y_eaU4eXqTUFWA>Swblb`)3-+!?AEC28R zG2VUmowOVjHtwPAZaPn&?ZtzKj{%#vV{K!tbPo{h?lO~h6$lb16x6eWz!kQ7H_JhR zA%OHBVUb%PP?ovv~8XPvY&bJdfTHOgBW3kgrj1 z68*Mg%K(^!7vNJM%C`yt9meNB^>^d;jaR01{DVJwold;-^}mEt=P~FX!<%CSQ8VUH z9(JKq(M2fEp)}49q3tP9a4Twa+i?!KcU?-2ht}FUf@mrEis!q&XX?I{W63CIf*5#T z;OPUwX&DnKPvr}|t{^5o(#dQQAX%RMg3l8mPyfs%tuq6u@k`~RGS@3E(9{653urhE zu46j8b_-3zV0!*o0IXgCEH7V#0$>x!^1QrD9KuR%HU8Eo|2Jmv+KxZ^7ynaEJXGlS z0evn_bm^Eg0HoWg@*ovQvtG@`%3Yr@0T}YfwyzA#J^w4nzPxt)F^YrA(@2)y)|>Zc z3e9@bJJF_n93Nvm9iPMy-j>Iz$i9lbG4RD2V6lN=wuqrz<$Fs2K7@E&0vs`ai4T8S z&nhb7=TI8to!@gPi8Iuf$geZN?a^AMns04v#4ZL|w?9I6Jjt_IOT||MXx1s43SGm{ zv8*~3l(mlEq$1OJx9i>BAZOI~2&f$RgMz_(D#jaI%Dh%OAC>?mj?ewtllS7C{l{?# zcz@|OfVaLD(HSJ2RM^r(kgJ|DDaWlY0P*NZvCF|CM%K+EwW?ch>dHu|b=Hme!T+(RP*VA@ePR-+b-X=M!jM=kaS_ z{FQie@N`-ZL11a;o*`FMs){K`B-0n0A_ySx;Xqi>04uPjg%9GX4Z}0(~0Dv6F}PWUq1Jno}GnWTiJ?MhP532mEhcT;91jgrG{?*2yD?N z(B3fktpoYiEGA$iUkOn8rg^aL%xCF3F70S`%;=IvHjie&x0Iul!BCDOuenV~$vmak zl&+b6c{lk71F_X`=c8u4|NJN}D08#5jd6K9bu*Emuj{a$M7Q%a&iaR>Ax1Ift291e zyLA`7Z%3Cl<>X`-Pqr`lq;0r7n7o(Y=RwjLU8Rl_WSZv!HqklIugvu*d7OoO*E8Xl z0h=%1dO6GSt;c^p*!-veG`{quFHvy{Z4!Wa6fAlQ+o_P}3p**^AbX3MQDnwhY8j3^L^n7j~>6o4kfQ-v04MzP80%;Gy zCe09L%61Zy5f)ir?@wtA8i)#+M#LR~pY* zCFU=e0OcsLbCk_F3_OAH5y<1-SqwYl=o4ITPq3-i^QV9OAH~b}Kau6Tj-%UY12(@( z!x_b(OCy8_Yire9#^fC3>=?88ITZ3GK=bNpRIaMA7B9#AMU8sB$}S4p1m}9v-5~-8 zd;2+lPM&ixzoNp23PI!K*emWiSxb-Z$;nAPee?i@zL$oM3-4+yoDbmJvw9A=jwL-s z7#g%2m9FW?M+zW+c*@CRoE`I3EcDV1;`5wY%ULm%UTz{5p@Bdlhw{5oH%M=R4*_@ayC^hg!(EidCQcp235!X7JA= zzd*(^Z6bU2yOd5%#V^|fA@i%p%^^4juV>-g-J1qy!2?|X>hRI?mBvQ==qLZTTwmYu zr~m3#rtKRZ)nkV|+1R}qyLVrXb%2>eT$bV6^i=AV!=PS4o~{AF1eax%1%T>+Hr8$@ z*mJz2veGkTqb95qsEBM4RJMD)*grgs{e#0ezzEVCsApphgLreTMcR#687pf|fapTh$>$Z{a@$KifM@cjZ31O@HG-xvgNx8t8p;oW@^ZA0fezML zYp%n8^YQ4>UYwqGlMeEi#*4!N1dJCLh_wbl6~Jk4ggdthf>nZ9R%B~uh zyCi+vZO$hkzD|w`;Ak1}Ydo5`4Gul=QTUsfAoOd0_|E~GPx4w_ES+cILgxx>$U%!% zcJXI9l|$zjdN46gD4$@Z=+WtO>bL+I_!8lf#^(x*I3=AeeA}1Yd0Ddj2-AW1No`zUC4cK8vT)rxF5$DeQ4f|!#~NbM3*7` zWWJ|d@-Qz35A!e!#wqbi`K(j^B|S*G#3K#MG&_=h!W8qb4<%WYkRZs%Rl?efX(l-XY)6{@T*v-@1_!! zFnos(bImhh%-L{2!8_;dg%b;~;rLC?u;-y#aMZe#Ty=Mnm zHbM3B0+s9RbU>%#Y<+b-HdfaXz`CWS4Q!@-Eq#{VhD5_X>y<7aJxewsXUebGRVC0g z4rS0hX=hF_EfR}70P^hHlIK=8k5+(U5T}=SEPG6re4zndLIAa z@BLD|_S&biWY=-@yPbIN&96}()cfEBqXYg}qdZl|VO7(xn2#QO^&}Rq#<4PYBbxKK zDG&5r(xal6vIXxU_-T9tl=SJzaSo|~Y|zxPK$I1_TW{xBm@@++iC->y<`o z9VB2-I+MUiPx+!tF$oam^c)420w}FY(zTuVyBz#T#z4UFzkpM=wM#UAlShB2kmB&3 zVWt>TEbuRfwQ#Sj*=hRRwmtE3uC(BHU3x1iWdD8GYPXt?IdU%Xayj*lR zU-VXq>v!@N&&r*QSjxu@+r8y3V>%1(msnF7k>c{N3byBOcmJ;og4uH2Y-|BG|68uF z@A%5U`xj9Kv{*m#n0xQ9Zfwy8w*hGIsGeQ;N#aR0WkF6N(!jL+L0fxZTm_>)aE;#~ zfaxr~@MTPSQL=i~-TdLS+l#~F<1~WYc*6G`O0>1H9y^|2gqePD5LWPP?#=IFaK!xI4o;zWhq|1 zvlULVa@@Roso&h)p$%NbX|F?E=sAB8;{|@7cVjs3P#I(@;CFF!8EXI(mw?e!5}fN{ z_1!rDzdO`51icNnC5{+DU)>&#*L3WthJwmC+Yh?UC6y4Yl$r98cjbtOpfQIw*hI*C zX>YV+?mJY%1>e;rg6(lVc_UEWGV_)C#YhV0lFTkex^_YP!!R7*WmF?LEPD%6> zD}!d9K#GUHGM>7TDCFOJVgpFaJ!GA{L-|tg!y^R~z+ZrVrHk=XUL>Vx3CcKRuevFR ze?VJ%4A<80(rz}gm!gtuCl@*9o7Sh!m)`IczHzc$m+uQ`r(Nj8F;8aFYpUFjW*hO4 z&t~P%IwS48XC$I{&zQ!U1=E^c3pn%ex8>w#8u2DccmZVnkKd{HxxBf)3x6#p*sRo= zxvr*OO`l6&x4-UopP*w8AvmSuf|%7rBx1XlS$MqvY57 z_K4`sgirIVTt-6bfU~`2o!Z`t{K;|?yf*0B{JwXi|K>mc)p+p!yD4C-R5Pb_CQ`22 zxL}eF*0y7DZrt2W5CniZ2?<;jdy&LIN5EP6#*##VF~!; zJqzny7||~3hU;=7_(lLjy{;~%?f_wx8qu<{GF9@CN{;-`#)={ls01e?Ie^~oZM*x= zsq``))W)DiDg&E;%VDJq2g7ieAr+&u!ne1!;`FeS9?r|TvskG_)R#~!08VXa2la1a zeQT}u26m+nEG+p`2nk5}*Ci#xY(rI*%kre#f|lW}}6 zmv&h=k4lSj&Rs;K+N3=7=ye=q-^+5?MW?V>ZbYo#T8!qFdl}bgw9RNWSIEYE>^_32!$5^BgZP9v38p>c~H_uYPcsB%{2|%xk_tTN||K-pBlX&g*>+@_5`n`Dk z;X5ccXmO5Wtx(n`b&NuDhUvnB<1`;p*Za{}K#4BB7R@Cs#(GriO^gGF5tIpLj_q<^ z`z|2TLqo$cLuEF0Ste!x2z9*g1Vcveiv~>tz#xsB@E~7VKaF}lJtk*Yy_hW7je{aS z2VCUVj1%r70Od*Os=|TeQ;{hol5sf{hsp+d-Xj48aU9N(GJ|`*XFT6aAwGMLck;f$ z_holpDlv+1EuMywP9D=VQ=#O)qT~x;d1kF0>q;i;n5NYPbz@jj&a-$4){W)p7gd0Fm1tCB~zS>29gz??&b(3f9 zBHvhFLq=`J_U0xsWsNr9N+2uG&Xk{qg@8~R*@eHlifm{!ay{ibnXHrVC8E0aX3oIo z-CXKsh+NblNA6y7&q+u2BrF0FDoc%=Q26NKGl23q!Ig4b!`X%Am#d38-qUr65zMjH zYSC_%VF6?=<*WnvTI3^_u%m6s8+s;hZnxr-Z`{k_1_y^-Xf_wy+gtGbVou&v$;wxb zCtU?N^L9KtejabX|8{)%?t>U~QNXn84caJBH>!Z_Wy&2&B&FOr+z3F0^`H<9vPWq|dQ zvW6l#x59QnF_RX4Lm-%Z$ZMt}z)aAtrz1{I9yp^>p@&G`)uqb?-p0p8~fFUgDmDQzK-(8B89fUpDs?n;%>Ut}?-j5GP@z#HQ7Ej)T zVaEV8goEA|4GEdmeS|$j)(m>3Qjm}j87~FNR8;=_Kl;UZ_4PNBme+BNhW&W<@LlrY zn7>h6Eu(B)k_?(l>#NHrw5#`Gi9ByDzaCrl*P~wDKxnN*1wdaVWTWO!&(XpDe)Ivb zj-8WPa`Ae~WuucrPEU)s$m;}nv}|{oQXw6=5I2UG;BgJ5?wGc5oMLqz#juYNb5xD$ z*=CM0yIjyuguw#u+YAJf&O}cJH8=9Azp{<+Eq;1WL6QKF8)t+94CVKXmT~e{{va*u z$ok>TKU2>4OWUALa;cE@*{n{>JDET@*xc4(9L4i2&5}>w_e=RTj(mxe3WGHAPKp1b zJU+`a_q_P%zdTIZZ-2L;@Z)y~e9nN_$jj%{|M|a8&!Vymrb)S|7hHiK z0I4%~7_-+ww9b)UVF+RU6p$l;L-rwi9owsi%^^Wf)I2$LNi~fhySoQ*3jdvUXvfgm zUJDIY!RGqvYED#iSDzg7X@4&Z_iTr^o3(1J(H@+9vq)ZY z@oa$OnEX%1<2dh=cR?76zC$^jOrv*Xd9Iou^V!qqxdUAShx}?FN0$JDl{DbG{Q>2r z&8)4`HkZ@rb7cZ2-&qFbjms)Yvn6!S?VIcI+ADYSooCOFqt~DC?i!ibn0JgmGy|N< zX)Tm-9b?~d{hfY0-hc1?`1gPOm3VTv7vl;*8Nj>IT#ZeD%ldpJDrYER=y}lt#6x4W z@Ko=VC7@LDdMsV+JwYdYZLQf(YYWS0Ew`@+5#PTGPF*>2Ul zv*-LaNPyh9!Uz0k*Sgp8bvkkgFJwcW-Tjr;`pg?7?ceOzt0cJ(cI(^X!Y$Ytt; zXTB=F7@iGtZOzf78^eJMxexfh7)0-#-TDhj@_px|trS(xwW}mF12i!KS&K(b`@TW9ns}83Y1J zL8f&ny`_vg@1rbp;lF7)e(|S&0PAf2_HTY64)>nKY6~m3qU+o*QXzU7&7`0c3*?GS zx)!D0O$U2>D70jN0>dq?mV*ON?UL6$@8a1AE5K@6G{!I*hrde$HH``1a$Et-=1fM? z&{|orTZBJ_iGpg<>!+2y42a_^Y4IoUCDB>s<{2@RV@L91Q$t46vrwSE>k0gem2AU*jM8%#Xz9Klj6N z`}WP)+F6ZTx3=QW?VY%LZ#(YY-;TR?Hu=3BwK;_F#d5rH_tkj$?wz=K>sB0mJIl+2zEMUPvQx5H0yQtB*vpjd9QRptmK3>r`;ru5HUku})PSd_320 z%`v8#p#Sr&slYMq;s+pk@A)*(MQ|I}@|5`e=A7^Izwg?<0GdE$zsuXi;$|vgLR#G4 zWia30F-+5(1wEUef8%<==9hl&3n@n|X)0Mg;3{b8hb(i}H8-G(UNGrGo2G)@iOn(O z4(V_Rha}b8J{%WgU9aJBdjRk(o_2vH*kz6?=S5d;hFksa9h^jWc%HJ$@7C*li!|-_?;y7whc94s=@pGRx9gNC%v0H9VVJ!N zRSftYjB?j{9sxcdJw1$eXNb`bB7%2&qcaR~coxukH5lXsq!n~SjkXE{3vydQlDa)L|gA3cC^A}vQ&#gZ%$+zP{)oX^=ZvHTFN_)PpgJU239tS z337J6zq3`8L;e<6xZ7LV>5Z?Z0R|tyi^~A8M(YN=<4klX1_9JbS6V4c&e2ku&q~)G}x@d(QZ#_x!H(S7$5d9a`mc^QhrD1Ei@7NYB3)$FzusU;IIM zHh=%Oe-p6zn9LQ0WEZ%eAcd#2N`XG@IzK%*iNk}V*xufOXPii+aN`+;D-~LpQO2_? zCEuqkHe8?20B5NbD~n2@@zHvD#xIF%WlB8$CV)^qLkeui0IfEfxfPk?9i53jaKU!k zYyw`sE8|N$)0e>MLPkRQXICjXBR{;rH>^-+$W9QPc8^+SJym)R+Fh6#>%eY%2j_MW zU@j%cI%I@Vw;VPc=`UTv9$$lpry0pmJysObg{1W!nuTr zg8b(Cjd#^3{Bu+I4=)e8md+~G+hQn+bAlSP@!RC34$cKBPYyEGmHlv1cUa76b zHfby@EyvTR&-i{jR(DW7o6Gr~YIQ!=R~vCLT8IzcJdOw7IE}OJJb+BFdLC8ERY#fR zx?9p|#&{X5paMLtpPbPrb3$9~r@#LXe<5DERnZG-YAB&rte;WXJllw~mKor9gb?OXQ3gsTthx-S)zMl=&Zcghvc~x&d{3WlS z9v{Xx{^Ng0C9-qlCiSha{i14R57)P!@$}1(()~u@rN&!`S||8BLRUQHTCC z&jr{_g)8?{_)XLDT)JdRyu9cC`P_s1nG*MWZTfZdo$vBUBAQOZ zr0pIYb>iXE<2Zv3*$oIEjsV*3W^>jb0sKaQV^<+*M3r{tmYYMA_sQ`Q?Qa-*JTUyItby4fE<)OszoW z;wAFk@}jD^W%M=shfLv$TP~39$KvKls&nyobCjjWFA!J!kF^ zH3viZ+cv9{M%^#_l=&AkeO|m^-dCrVWs&4Pc+0N#=^;NF3g{^^AiH(_tn`^W0c1n(NhEoXQq6 zYp-m|e9r1?heP^?<-6XzUFLMxR0#CLtv4SrLB{+21o2D7dC3l`ac@kfH z^UY`vd(l1X$I<9G?!I<2{@&mFS<+et2vOMp8!P(J^GEUChwmdWhoo64)~?<|D|Oy+ zN{i6x5(|6*iWPv`931cLcfr42S=ZLQprUF>SI5+@ueRdV zm+r>S?pmyFRid?pg^f^!1Uv`qj27eZI|%DHJ2C2(NmomxTS3570l*cz`1Q^bRP5~n;{L>4HK%!>J+l(Qv>9GC~YJUIh>NF;C3drvB;2BEnITd#n^@ZEf zs=rR&cc{w>ykz%HSusEXqOj}t`q80Iw4#J(BX5;X* z@Lifq{zw6bl{g-bpzV1KJJjXS#=}1a0q40Z>a7ni9o~#e_fAwU5T5YC{MACHl|oi( z68W2iBWaglQzl?sxqjhLw*<#7axbr!{n}@O&1-_^|IAR@(_a_z zlh=9(eujXbp+-mU?o$-B+Ef}=P|VUyFJHUU%~|A+o;-_p-hUWxzxx0~^KrcO?xT3~ z-G}l1qvts;(Jn~o?TcA&%4bCyh|9VWbm|d3J~@r2&-UZN67R^dxjBt5YG-CM+e1Cj^k1PB)+uwZoJ)tUOfOU2LD{U7h4z0 zaeHw!ZY(vUh0MOh0O%Z@c+A5&ElvVjMCZEH0H|2{uu7h#wQg|*E znC1T1AH});Lso*ewqJEFO%i~HhF_FhkrmX{Mea_gOhN-CuN9zTP#(cW&|O)~6;btg zy8(&qJLQ0~g^(Xh$Ic>#c@w!>)t1QjOApNqlo>Z!A?sLKZBTzD@Z+}plB)zD=gUer z6Qb(8LcS;1rH#?nl=V8DlD9Z)Bj(t%dHZ-M^0fpH=YW)XAmzQ3;R?}dTo2zXZI801 z>@4}tFqNh1l#k2uJf@e@bbhIU{%(<1!5{6K_B4Y3$1dG8f&a+AUsK#wD8F%f+|MNV zuFi`5o^6%<=A<9;H~VG|C*Zm`+47~NO~F_8AeVTSX$CgGHIxj`!goHtXV2#E{MK*A z!v`ObGy)8w*=^_89GBPV4bEsVlkB?D+G|wx%pp7))!5u<#?~&#TOdin(*-{jgyu8H zNm4MG(!s#F43UNPp%mj#0oe>yTeE%3b%k3oGNrKuUozYh4SNp2HHTJHP`V~v&U)m0 z&buLpol*(m_HUTJCL*j>jlQh>4UdoGC7Iv7(QL@N27@#n(xy%C$TbrH*T!_o!D9XEDCKc6~9W= z!*Q9*2rkEJ?mb80oSdXGa15J=#)Tej%Pc<_6rcwvrxTRZ*3OMsUEh!$iU%BnXGGf4 zBzGf%N88lh;odyo3wCKb)THpGyd~46uqe04 zMiFX708mlfpLMM(pl8CJm>J~3Y<~I2k^hzQ7|j;u;U|l-FW>XIA^-B4NZg;bne5fz zp7pLUH!Jyk_8s5Nz-`hLK+noil2EA4;+VK0U;EDrA07Vq_8~o+uV1fc^WXo^zl!iL za)tlNYnfP~Owj{m`*orB=lh3%z@vBuzdYYNjDv%dXm?dMuAYI>GAiQ)HGX{04GG%4 zaT*d5T$1WJ)0?5^LV)0RauIogI}`~(hi*VXyUAsk0EDQi9F}u%)aE>*y^}ueThHbI z5M|xDwy%?6oON!HFMZxVX-AiIl}ipSGH*9Fx8tRocaThT$i6XW2B#7<$Mkqj85c&jHMo$?s5(OAP2s+O4v_*<4Tg-UE0Zb`Rs- zCm+UNeC4b0&R@QdLB5a^ILS4Dnp{&Sj=^?hw{r#rmPIzBX`q`s4cRbqY$0j8l$v=L zTnWaEoGlrv{M%lyg(uBDOAfSG60v;>IK(bYH_D_a;R zE3r~t%`{Wyh`ji?b*#f_bOzX`eh2*{ZtLkUD}sF;TI7yD;pmd#yr)c) zS4zGqcM7-i-baAZcg-G472o829g!yN|W{01~_9oIv4fa8A(T! zaon1++dZHS9-t#m6Cao#^Kxr@H@8dfOx!rc+qQQ|2_2=GZ0B-Z=1G7p{*pKKYC6eI zx@EbDV|ivk*rU{ga!Ci=OwW|E&VK9Jy#M{~M*k20_KVRyJt8ybaf)TuL1~_Ju$WIz z(~7ka&Pu;?b3H!u`n`DL<=b&*8%2wvcPmL3s#Qqk45zFVvYZ+BtWqqM_3;7~OF%#< z5k32!gdiRamPE@!gUX4cr6|wZ=mnc1cfqDh_c)uf0szJcC9W)h*mH~&M7N>L6my2; zdl^YEca;J@1wy5)|LIsh0Z5i*YOy&`-|a5l2}I@L0QV-}tMZ;;L(hVHl@4hP)nyl@ zuZ08rFRox5!3FtAIzUIa=yN=fYgfMg)eqxf&qc~7aY7n;CE6&2R63?d7z@BDQ|aoe zAv~Ak)z@yv&E31Py>&OovR=$}V{&yw*bl!X`dX$lP3?O27OzAO})!*=jv9a!@f(e*wyD=&&$z1Enrha#l~B! zuOy#42CaA-5e8={qOn65Q1Z(N;l&YL4{u}@$oKN7-}g|g_$U8cDdt!~CaC0T3JeWA zu6br&3?-iFmG>1!-p*eANbY@>fzd7deaH=ic$g zM}^3vyjz5MNq<((ay?7?`x#bhHvpU0yY$h&`Ir9`n(AFH07_!mMchZ3y1o5_ zc>L^n>;pDWPP^Q5?|7sY(QQ}CDql?{F_nS+{ul-8FeB>7l!+|JbfplLh_pOM?g(O3 zLK;oVYP;Aqj@*Y`S?G`+Cl&1)C1dVmLLF5&4cUI3PM$!uG&#cfI63xqugL*dwmsox1EMEQZy$;G^+0UhD-#6=Hl`nK8?LS z^ceDW0wAe3Q1aWW07rn+aT|jZ$wf0hUoYVP(B&N!>5nqt*^fm58rtZ zM@LQsJ&DH;pTyp?qcq+Zq0i#kWz-$7DCi_T$F}Dze|u6Wqdib?HAb+Z^f0-jRnE>P zUQVRp{%2nPn*f`?5>F2vn>&7~8y$)v!(G8c>O`N=p2?T`I=3=JSjdaY$K*8uBfn)w z`CU(_@*~Gp+Mao)j48UVbnALQU*_M!5R2PH=CNMY;5mM=xJdvb{KLAKooxB-S)f=^^C3^rUi6**61a z#ZWFf!8TLsOk-WyodtM7qtd2~YtjW{B-rEG*6J4gy%~cAw`{FLC!Jg8$N-Ef%5pY@ zZ^wNzncuZH;J(HjZLsaI4ogRR>aUVFml>n}5=e3{fh2jNj5^r3orf|)dVJjDDotlV zv&i9ZAAaGdfAOycn;)m|cXt42X#LrxVb@20aF&Cxo$I%~*^D3g^u72;fA>e@=YH~Y z@zUL`SYJVjFF`~q|M%tYjbcqjVn<2yiXPNBse2f;z*AfD{fmKko+jBWq76F>0tJqyyi&uB=W9jb3I#z45 z-h${$fJVN<*X%-9P|6$sn;fW23Yks>}a%-&-8`~>UUs0IB zRFkBkJ*hxR=W`B!nZ$T__L{nC8VaWi^?_?ls-_&i;2_>s&^{`hgzl`P5sA z0@LfcfPl}2dX0xhP|rPZFZN;%&|9sp1KKFt#bPw)?#J5l%NQIjSlET_yV32G{hMuw zdP?*@JHy<%aEx&-M??JzVtd^Vpb&+wrv(E+O`zg;Vwer};NV#tAMQ`P?&MwTqMH08 z^>R3fjWhX6YQirn7Oq_?%ab#e1p<(JFD4lApI|hTHC+Sm=d-*f7zg2`C(X0pN)1gC;ZuUlDj58mKm=8pg5jhW!}hTrkyrs45%VfKSMet=2;m4~3tvEHtG zsrUStu#XY4?_?E>oNv7MVRo4xpY-52dvN55;`N%XexZCQ^u$<1-W(nG0h{nFa?0UB z(lEVg(vl!Jl#bT5^{ltVrG;+Y+>SdpcVly7oqC*0ujKyGDZs6Ve0LJ$7%+8$@wFcZ zhbM7z)Q+c*pT&a@AH|2{@q-T@#REX`9&KX?Ti3RbO z3o|Cu_}{2SWv3RkRpfGYv9z0%D^~#8QFcW;QO@y?%4a8@D(@U8X}MRBfi8l-xwRRs zm3jio+Oq3ba;~|7gX7HSFeC{LCy54mJ&F(ZPUGobH$MCZdB=$F9d`grb5UkK=cL|Igz6cOJ#*K|3x1w~Mq-mqJ>hF*e2*QKeoNhS0}ez}_g%oY>U{EF)Vk z0L%i?OJzIZZ{jFzP8m?zVgf1t)CpFhjkP#MxP(9F=d7QiS5k=~@AA1#TTz$y38qV% zcimCXMi5lzq#@of@{C0Foa@odgKzS#dGY&;ZoRtf9{)AKc?*N18txh-092lM*xQ=x zpxRrgx8CpZz8=to_*`2?v*dlp(9VvT{3&_n8E0WwrcB|pbS78cF6m6)`MB)z+Asrd zvuEG>TN)Iy_!Z}mpu4ZoJx+{*E<{Y{h08XbO-|vD9*L;)kpVpa#A~mm?mg+d{k3Te z%Apn4eoII%F7g}F(0dwi>heV}m?iNj^5L8FW}eh-G<3mcjLyUY#$`}Y7QrL(S81i^hC+$V)z{9{(}Hn!x?5Ok9%ixmFFlchAYRcT zwU1I^HIK5L8)0!)>N(?a4q&QR%gQNT_vAr8*hP@J1>5ue{Wt;CxFBr{u&Wa3Iu>)(gH~D}4sJfr z8H{#q4Z7}P(}_noC1O7z<h z#uy$>9GVFPGC`Zl%oAq$^2l4>n_kNz{)V+)+%sg0lEm_CAk`z~Z^* z!Ve0|kJ9k^#hYB0wmZ9H!rssSzv;bfW7BI7^YHO9{UDB&+Vyv%|BwH-|1Q_RJUMNr zM^nJkaqKy@;f(XsfHv0 zwlj#SEfdN2tPj0`j=gr>N++%<|N4$81_U|gUYX*s7>5BV4|EXp`?Ld|JNv!s*hJck z>wET)QJsE2y6}7-+2}aW)5BiwDCY7%FTeCsxTDaq>m3ruu6$?8&T~&IR-^T7;Fgq= zsMg&X&7OhM-MQ*mNB%T$3RiJPLAnpSa|P5P${D*&&(6ol@`Y$N9O|;1M&bPYIkM1R zi$;K3;|W0e(cW=%0Cyw6uyd)bgJRapqn zmEFV2a4L#X+A+`kAwPO4-x)`be9ArQKUdsP<_WU+U3xFjf4pxGnQ!=-XP=)_$9jY7 zfc{2vmwMd-f3$MWLwXvg!b4mzaK(=^WPG2tG(3jKinq@E>Fv)=BoKC^17H&w_k z^lAB1w)mXy>Co`o4vF(@xeEbihk5@fxb)HYy&L@xe)~7E*uI{i=CxOD$B%sK<@kxu zepuT*j$+$w^`E>gc| znx<_fW`igHg`9;c%%3GwsQ7{n!+OxWlsf?_80}U!HgN@}Jrv0h%S5`kY=}D`x&ONZ z`(1N$t+AS(v?tFWVU3NF9yZ9H6OGz{P=vRO3J(!}j)y(&kRI{%Or@8~Z&4pEzoS=C z>LJR^p)jAU=5VHLUf+=(R5ps8=yO;ob2P!p1DGHQXKQ=T+3<^74D{rR~2^7VD2pL8F`m*4-@s5M;{ zOJ$7GJl~Gx%lomibT1l})#M932t`P!Nl?xcl>BKY_MY!$H)aKcNDsFhaDhQ#_o5yt zCv8}MhYjc*vK>%--Ul=cPhvzppN*g`#+W+~Ij%$Rrg1br1Q(8rb3H-PNokeQhg;86tqlxMS|N{#S|{QYqO z#}DH2Gw+nc$MUZ2cgEXUztb4L=e_I(G%1dmg7HSi%0x>%qfCG1F?+{67LZ!5^L?&o z_x!;p^1iS9phBZ|BYyarXQTh$|4;vi=yrPWTR**$t}ZdZxEzhvYI-bP`pAhCMeZp} zt!IY{IULCD!gAjdq^wW|NGxh8m6QAppmPVCM#bSfg&%yLiX5I*nU|gIhn%YG2mHuadXjjSMAtGcAf%i9br{q8DfRxN<4%f+4Ie6dm$HVM! z>7(yE*!r8JxdevWEV_rM?oTVk_h!l_K`22YImp~+0y+uewH0k~tvm&2dO@cGIcH?^R7LJ~ zlX^ULH_stl=4iwMG0$@{FT(8--l<^0R}oYSVk`FohE+)G*;2rn?u@!Jn{NBrBK5hp zCV4d<)hZ*E6xrIq8d1m3OY8p>uV4o{A-i1*4EPV&}6 zFrFNr=3?yg02uf5^-~kdA;`?^@S88YU;;>S7SLZ`R_a`^{LYbmHmJ zTk-txNt_%`qJ3Z&I=RtZ?`(MJthKkq2ddE9f$J(Udv+Z@kX^12%65}ui7o^P1ly6s zR_j@J{&~(usb}*aUaM!bJ$M@5c=RuGEabf2b^hvCZ$vHb0i@kGmjvs1*iLj)(d8IlXdn+3;WVFhxPMfJJ6KkCRLBWY#)EEyiQbUYI5{939v~bBQLB`1 zj>r9Iw@)w@Isn%)OVTa)G)!Fo)yWbeuwfUE0je0C&fL&dU ziWfdBM0!(rhow*#2AhW-cbV2dk8C@$-_{*}1yEXnC8qzBwN!m77N6uB)B03^diHLL zsp-4f208o9eC{W_?>Bf*omDoC^TWE<1i_-hAx`c&yZ~A8h_V{?Gp% z{BV|v+Ge9-bxXt=bt_fv;!49=8t_{h>t%EopBuZ#4ww2-u_4hg@<-wYw+B@wG(%4@5b)Vc5JS<$iouv2`&V( zi^wf!%T|&{?f#ws7JG-?7@yLH+`k;rySlj%yEk@oOutLDxn`#0F3pqPN4vTOoRkDm za+VV&9V(DA9-eD%Y?D5+h<16-d*d_OD#3T%mQwz3Vy2TP1T~Idb4;g{TcAxg8UVxu zpI79e7l-6gFR)(Ja{#AuTAE|2QxQuTp#c4UKNg|s=xjdPl%uVuv)9dGH?(@_Hjcf+ zy$l)+F?Iryv!XEspv5`$M`pM;7mfN7zzCzX36R40)fgQj*UyLN(Vq-sZ-{*FoyL6k zG?oV)WO6&6K7F2R^gjOZ!+7-ILHrlL_}`{ZyUyd+{=f-B58xSeq$(O7Ri@(4{y!9ZHrDC ztF1<}xeaYwQO#Z97Ly0%X=S1g9>e*?C)&h^DvWVAIsD9T<&s| z3}^a9K3VoD9XPyJW?2&N`5pNnlZC;uOtW~D%V!=l%;SMHB&z%T*J5+)>b3U|2!^+ZC=zFCNN!$*YCa*bI{<~$zjTh#5{aXx;os=ZBuhuBQj&&GSAS` z`4|T4%V)~wbC1x%FlvGu2eQwoP;Qal^|L`3dCds z;`(e>Y)F}BnaYOY?_^_$;CD> z0FSxo#;dQc#_lfpSvZZO_Om!d85};njQxja(LdFDy9k3j15z4OeQyV3GIF6gs$VGlN|aW*pmp3Lv+}O<29v+!z?r)9NzN$;4s?mkq@6qG*>#X z3(YYzSj``heGLho!yIa;zRJfo=2sPN{x&85@s|JPz2XhAWlz63P0MtY85w>0ze0Nk zHZxtHOym9_LJP2Y-4lfVpZ}NtBlWACz>sLbTa8+*tZ5Kdvb)-DWxKwe93#J~RMywm z0Gc~-1K_vTY9KRc|IkSOR8Fe6q_Zrn9JOp&XIx7|!6P>T2StX83Cu&zf+rZ?h0xty zWDJw-uuS8Ip)*Z?@ml`*|gk~9iDfwb(hw0W_KEIFv|paU0qp&truc47yvkJ zcV{s^FO!z)^#+R6ZrStfDVU50$uR=+%F;YCm9|Mf?RxFfX5E*)1IQasu3`YVJ_qop z{3d?Axe7={CkQqHfi<#!&i6Y2QzsOS0I3dr=l}>cNF6?K+BwPL1i7v!lC+8}NdAT1 zIVp+nH=8x;m^`2}FS&U}K08PK7_9FZ*8o{ z-CH-}{@pvVv%Qsq%eqJ}6W?@9gA1J#2OgxR+9kHG>Og6{9Tgu-Dx1LVs^

xhrd-yKiKfi-@Kkf54tU>)~v?L zdJ}_t1w{?ypsqB=1@2A&bgcE=+c)Fh?K^Sj=FQmM+KTnHRlpwxBtTEk97pXka)lo)p1oSGXIMvP5Fgp4swRn8MhIT% z2|dO5Kj_4xM-SrRqYsejLyUfmOpJoj;w7489Ovj7<$kVMf{x7XM5QTbDkdkPIA`E$ zbP>nxejJk@>wFcp)moO`i*c@gA+8P&>%wsT9O|LLqW4U2R=7mktLxPYv-Yaos-OoQ zmXW=X@NxEFQXd|LyL9B}AVEe@-ZV^=3&;rhtFgY5{C_TxLRQMVvvqnCkm<>zMlwI> z(5mA!!5g`g8-Hf4#4Ga7$uy4F91Kq2hfz9lQl9X?I(#M%6+f1N8p&(ZNEv6YIVXT5 zl&9(yzNTK`FW=AjO3056(=*>Q@1;69zd_tWv%Eb`(@^p=!#nDWOTc$op01Q-H0;J` zaEdw_z0A$>o8_5g`42gS-pn`2eG$z5Ko^U#e*k@ z@y-X&;wx`Gj6eR1H{(zK>>Ke%zxyZg=9j+)Mzird$h&kg=FIHr_Z;8Y@4I^h%tpgK zqXH!A>?l@+AW+M)bfJtVeZT}@^TOps&SHcGc{B&$ZBeN^jhIwm2n2e4eKUsS>+*R! z7RCtW@p-IcO>c7l=8YS%4Y*ieTTjn|o=AZK>_pJT4Zxxu$QX|2)2o$05215@KIHlW z%hsXbq>He0+>l(ce|Q}4K6nrho<8DztbBK602no!ST$=K0MrTsaRP&t&NVK)_*C2)xjJt1}>+LfvI(#6;N-P3sV;Qe@lGI>tD z$hWRR=%9Zme^sirr~~M4qV%_Sc2n^>&Q8y$Ti*3hh;!!)QAJ@bBM=3edTktHae3(; z{XoRJi{Zm_^?C{|d05_7K-$&k0`TtroXcs^7E*8!6qY$VUImQu>G#j#mO8rdJ_((`73^hm;G6g7>;Sd7O(yj%B<*bb2OggiL-sMN1 zDX8=U%mhzb?3rdsL(nSlOiP>RQr}=VyMf!J>o-gAnSwpr^7J5Dsm~v9xbDMk4qb)7 zVLPrF>G*Z&I6}rb#K?BmfZw*(*JBsJsdsT3pediu#!)q!EdZy+56?C?V*}9IY`9$? z3K1HXbq8s~lur+}hLr}ENMhDxiT?gxOpvQCCA5TmO9)Ngy4mj92_(&HjzbmLpx{1EcvL4;If2z+9sW%m>7f&7@_A)R_H=OAW(16GvuZsHGR@I!sxFkht{_NKxg@XC19i}COTdUW9( zL3hcg9?-3=-CRmcZ>5&M*;Jle2HkGfpEUA?Svkz7O*Fqtn9F`dMEpXe$LEw?J>QWA3S^#Z@&9s{N1ZtAFy9IDE9PW~0y)*pObQsh1`z@DhPnb^)-vB|Vl? zg`7+bgQpUuNC`N3&GpkRFUGmXXVpBC*69U+a|s5&I*&fWs-S%dh0%P}+7b21 zG8KzxfY^dQmj~HFsPAs?Akf#Q)^ZW}X6=l;&O;0HFh)^aAz&7HR|}-uYr}LC0QmyV z0Fa}r5Wxap0M2-sS|3iZ`1{Av8=hj(E#`KGE*x&7%to4jRxZp)!|#l)Vy}x;PnkeB z(5iSz6u4Dbtitd0#$5c^-}+>H`ZJ%7N@FK3=33F|EXR`%&*QY2}yy3 zOv{F=uu0*dU@O8edCSKHU&&z+Q^DnLiUJRF=7!e}K6lo90#2^E%yv)!Y>GJ2L!nIH zmk$J&e#o-Sgc}#cQP>-1-!6HX@!$7){3inNy9v`TUgx1FO&&;@2?$bdxU|;Uc$D49 zZZBJhuWXOC<+3wa#fd(=lS_=L;NdTM(zPk2ul1ok6D-(iFZn&mZ(8y?G48CQDxyYSsij}?GZeo>diE5qelZ+?{gI+zG~Zmw|tge?xq6|E6*qBQ`cmjjJxpckSCVIukl^Z@^DvJVCEJndraYwW0GgF&%1CK2E3;?g=J)-O zZ4G+PK~Hi#rP$?Ylmvl>Y9I>{hHdIBNwe z>|W_@%Y((y!+wv_}bf#;>&M;7;imz77w2v=dwM0z|!Rvz!2f$KyIz& z{bwif$N%b2;@SJp5lBVA%FvEq(t5DK9#)Gbba|ddgoSHt$`mTjtS|^=p4>t((}tod z`Z1QJ45%;ye#FV76TPuBCZ9#;;At#keXltFqjwR_@lsT;9AjC=4k@%;n79QX*>$k{ z)&}4NSVw&s)d@K>w2^<*PlNI939fPNN7GQR-3&~tV@ z>t0g;CB4m{frgTnE6gX87uFYmT5sPYNB%E9EC7HD0jJj^y>al50#6T3r$0!KNZEt= z0wIrePPw+WcjLy5UD)Y72Ay^sAMMBC(LuPgiY3sSqLOt9m932p!WQ)1iq_VRSOgq6 zcB_4S8sq+m#*U)0TL~ULKi3OSBZqDt(k{FE_^uvHsk8*Ztm@66P3aA4z`uGoyr*YF z!{vMq&RrO%0J_33T5oR04*7Mtmdf%@EYIDH#jAA;t7?u()Euv+Wk$F7>REGEXpC9t1 z!M&~ZVCML1-qXnOJFb%8jCt1t7TmdDyZfm-Ip)EK$d&gW#k2imL z(WzjEVX0@quZGVF#@*o|a+5qNr}gG)80uM*X3nfX1rVP=V|y_K>#oJQ(OizL)nyd6 z+YL9er$G;%%$_`qesVaF*RIZC7xyxBnv4N6T@3sVvIK*F3{Biw$T6#e%|6C$8*u4b z$gT!peYx!49BF7ISZ`$^?aNrN&c&VDTx^rJqsWJo`RI=qFyvge2Dw4`X5nw-fE)=n zDT7%M{74UZ$0I=xlE!XdXM_77Wi1(=^?DR%MKP+Bzw)H_jGuMHI|f0i=b5KcaglOq z`lrLg?<~8fW`*EVN2Wb}E-yP-&e`V^<*hn@c*=8m-tQJLtG-g6rOxtAWwPJ%gO-P& zth9(l_vPdKf_hjM$sV#7ali=FZ|*3^QOf6&axJ~`Uk1`QNK9oM1kE`PnU|6e0km6n zp68IXi*WT4x2C)x%u%jfxo4<{V0t~As7P`M8gO8rSc!RBE291H(Ew~DOr zJ-8e?uYKiPyNh~#LZiGNq->@ z4^HB(Hy_0N?>@mGaM>N$lJo>NdQ6( zp;Nr{uKQOeGEirBDMBYFCakWlXSb-6yX0AcW|^Jr_NvRILOWO>uXDTrctD50GlAbO zTCrB!j@8y`ECO66D5&0`N_%X^{A4X^SFNbc7tkqSn+Xn&a`v};V7vL~zK@ip8S=Jb zwg|Db)H85R-3nk-K#~Slhp!ZBe#_^)KYKTWzspg+qaZGKUYzrO$=B?7@y>S@KK{M$ zKKxA_%Z|@ObJ-K*e)(6lNq08egb#K$w_<~{9`Kw{iOi69JZxu{R5@~TdKyoj@5fX4 z*?qy?#&YO#KG1R2PSZfJT~k5wcp8hgQQEJ8{|X>d?r9*ai1G`i&A38>6Bu1L^8iri zwwcfN_H(cHZm*xq6&)QM$A=$0iiZ!LV4$5APnX$+M+Al9Ha83R*(9|T5P|x9gPjUk{!c5p)9m%J|J+EE)HL^U8xtA z0e#AS%Pubp=6ir#CuTZ~$#x*!ow&2PR*yAgxQ+=|JJEBB7NsuinK%dZA#=%x-q20* zy54lf4)n!f0x%{V4Wkd(wT|50*R3(f^A|CQv*;mrhR{KMzpwkq?(^gq+q&%@ej@*AfRZ6~mvmMyCNC-P zHE~l92)?GeAR&fnDMM`AwsZdH+NWh};{w+7aL(HQY|NvD*N{jfVp)US#oV0~MEaTZ zEKQvYt|TJ=!6(RX^XGTO94~mD!!l(%$nuy*c{Y=ivv@Dw$qL}Ud81wA*hhc+z-!A+ zG}E2E`*E484oV|B|2)jE@8;|LSLB{;#Z`NhpE;Cpgb_MAMdtT;E(h^_(obE1j_JDA zH-FOGbZqa&p(IJ0%u9Y7x{@D&L+evPjz@R;S_kWL%g#4OnEW`J{c zo|W}G9n%{9?vF{o9fQs>jkp^ftj43mcD((;)A*DB_;&o!pM5>P{N}@Wy5EhHE&_3I z7RLa|HVyPt&riRHq8(5<=U9v`zUv_JIv@$~g|K+`_$c-s97Go@-91g+jYfi47zL(h zciw@F5C&^gw8!y+2x$f`Ay~Kvz;*d0i1=%V1gb}Z3|n+WL&R*teic^3u%KUTf+&Y!*kA}ob*sr+_g;!7Kr$5;_Z@?l9$!m>fSYyI z)d7JD9mjvpA^e(~yRm)u)mXoI2LQU6o=ul&aqO~_2^@3mY*sfz=%c6|m*gx=fu?)f zIul(wYJ|BQjOz`irEfmC>ktavCktmN;j8s%z?*ZHtK9`epT^04Kl=OgadxyC(cO&t z#U=)mlZg~WMWDRs1}TK1%tgqMeBLM?$a2=|&PUT~7g)|_I;P+RD9`Q{kEau^F0z~b zTt!V9#j8n@1kWVJebOLgyH4RrTJxM!aTH!Mcx_(FgYPEH;(u?!7JA)>JDe@(EkmBP zR%)@cCCJR0#aRToS>cl zsqGje4@Ur5jU`&=RLPb+6wsg-V>-*2ZzPYyZ&V>N^gJik92}p-lc&$)gGW!|{RfZu z=FIv7)w{n2?U3W~H_mYb%R@ z)I|(^+uS(1$lcK?a?_dn&{QYF9Ki9aiV?BkmYssct6V8$9(hf2u}pgF$oy6Exk`F1 z0H-hab1hHw29<98I=p6lKFV45hG_%6)?>zR*-HVR$P+VpkV7i~AWm$x72AW8yZtyu zpXVjex_QZVp5T+RCvWl4-bNiT=kSgtE2UGWD3303V%8dMLtZUCChA^vG1Ic=P?TTcAV0$4i zjl+ppd0+3IGS;+GTV%Qgn3i3!iv0Ec0zOU0G%_(RZ69J9H&}oN#_EVJwC+I6GSteb z?q%*e-QodzPGx5EmonKj`KEL;Umljx%F`=qegual59RwFmUE^TX4kW`{P?XwS{r5{ z)bs59?{s|6lD0Rzh==>__{(=6#vlE~*W-8o_$%?nKYusA^frR;XcX-sN{8=Ch`|7% z(d*@|5i){SkYkVB0m7v_1e_HZwSu5_V(9G~-77W;7R8qdLEwOWe$<6lq+pNx2Cixw*R)ckVbyerq>>^+V#;aK90?u3;)P{;+HI589zl>6;S?=Po z7>OX4ui~Xo?8M*ug`bK~eC9`@THB1{lXiUd%U_TG`0u|S2agWp4A8G)F#iIXdb5@Q z#x*_Ntw`Q11HuK0GH+q5bd!@;8wxjhosid4=KNTg9kYfiVDo&Phal5!%(5BVXkc;c zq1W!@pmRM&>#f!74p14%GuDM&V)EI>&TecH9OkjORDzn7B#L%6c2he$Yn}R) z6%>%^MI)^ohsis#iyjZ-rSS46K?UGK-r04ZH+^1|QR#kHTo-_!-}r%s>pxCt_Zkq} zyPI+E-pyS7VtdQplC@~80Iq2Njtl>I(<#C~kbQ&PEa3UxVH~)UL{Ax0K%+`Hmqb#Y z(AJ0WpLN2GG?c84Vzd{!m%621F_>IIK;Bl~C^tvri#Wxab(_kk&-T)@+3EIkM>DsK z%ymE4>amIJ+-Oyz0my0~n>JVV7}lc!;H&`hlpkFTBEReKq1p2slOpZ8 z>AQKw^W!)_IEmh~=kbj2^aub-uE!YIa}CEdQ$A#&qcM|1ppi?-wKM&*Tz7LBMeI<3 z)3#fEj>B~}U6<6Qq-?&@$hbL43t7Er&(5^W&V*jLI*a86I1s&bfx#?H=PI|s++3?6 zJ1RNeb72Hf>Cm2f$anIfZp&SS$me2Ypl6Gq}{=#H>3oLdhJI#4>WKoeKAtW2LEMqC9mp)b0_Lf!LW2SjzhGfOK16P6ApEVLlNhB`L7B4-sBBdM zZCL4B2$bE8H5yoh6x?2|c+toqzi8uBs$DYPKRs;6lXsrR`(J(#^CQ=6vs(lLK-er4 z40e`-l4UZPTn_<40p@hlkigRM8#1GVy=R`bvZZC8ib2s|=wdHQ?*zu|*I?0|M$GTR z(3`6Wj55f)i50rBvK7?@EOh>IhG#Y^E8>#Ivy^MlZEpiMckBu+-JW`BRnTI)97JtD z34qgO$OI`4VpgbJQLbX4W7PtXj{zD_JI`UtN!(gpi&h;`MB0abP?(b`#z`o?0^)|L>YD5HyB zOcuyT1v-MO>Ili!#u8u&0a<~Oh=aIGpl^3k0TQJVX9GhxW~R7?m}$k?C^J~oQ%1hd zBR!i@B}?*wmZh5rl&=r91L~Sh>e{U+ z(>_fQWa^e%1I9AXqZE3_M<~X@J9%-Y z=p`tWh(pN2PDOWlw=qON=9<6!3BqizDp0+h zDt8sngm-3ZBhHM-QV-Ta0SDHvAk~!?^lr)@ww+rycVZU>bN zvpBK4o^;M!s}kAgdbY|P%ixL!eL(TiNe|F%S7Xr!E*dY`bcrL&Z`ZxOIHk9S5<;s~ z%NUZbT49dmIlWPCZ|fG!E40gsyUjs*S*6(kSNOt8e6YAPV`=>pJw52 z;wXFXLoa_!X_J@ojnsqA1yo8PpLor4;vpsSS;}8%Z5->y^|<9jmje{Xx-^fIRuUwd zu8apiy6j#Dx+KduCUm(P3m66lWu|%aTlrnmweE5Tx_}7Xe&uA!spyb=wuj6jaXs?d zvx)dV{3i$#IOU7ecpk>3DEYkvmi)H->cJAvkQyT6mG60b_H6o{*};8(r5=GNQh*W! zqE*W2imgMv@?#9BiQ||jnT&kvSWVZ}yg)Cx+>!J(W7#WV91X_$;b`%CiL;{J0%Q^OUDaJn}0lL@XyTT&-`$_Uc`PkTZSlZh>Tei!19dXDlK> zcM-a`Z#te6;cM5Ao=~3Y&dl*4RLBy*vIYou9FR<5egu;4dZD$Zjkq`J#$NxFG*;q` zyLWQ!&zxy5$kjRl7_P5Y(<8jJbcwL9#iu^=a=h^dfTG^QIKPa8{ex&D;CFX##83Z& zACJHPOFtPu{qvuX&;OlQ;?>XZMDyNatlXK8&6g{2_fySy{YSRq(?5A5KKs)*})xJ=G)1grrsBzZn0IC6l^Auky4z~JF}JS271rijQ#}R(0Kr$;qYhVQvcDE{;NFEv{Ao1T2Ms5o7T#mw^2sXJ1S4_*FzAr_s*+wko;Yyv3a$n3{(0wbG_M4$hW)_-=RPN zdTRL~yJXOkPwJXF#(U;-f)fczBFQP;M)7%d^{(lU$W*i+JQuzW7L*cQk~TwjA$yo3 z%$zyu!Fd~gQkx4U98*YR!PRA(pCJ-fo;_A4pORN8Q|*A(^JMC%04enf9M^C ze&J6C@lxvOnejr-^33B@y};-6K|n-O{XC(h(Q8bl%4d_71vqzAe*&Crcu3#MsXT=- z9SbQ-3Um(XJ$epfbi-`J*VtBBOKRhNE4B`7UGloBdf{`qEQlp{>`H=x5FPh|N#QxL z47`Z$g{R;d`lT;YlCH2_kQRg!ZYOici< zkOp18?M4wGRXSYylTS>K#?s;sfmGE^NP|4;J^lHpip%DG8DS;mlXw`GKI-EDRL`Ie zt{pdd*2wqK0Y$Rm@E-Be$0!Te`lUVDuhIdOt|P+@UJA~b;CP|md3w>W{`YhhCjgT8 z_;DPO854RD4v-$$YY9xUuO@u%{hOT+Wa!K+2xwN+2A~CS2(lP}NR4wR5c$TLp#R0| zq5R}4q9`13b3{bBp`Z`;l}*4VaUYd~y7%%>zrZ1{gjc5940c2eKOl_o7_zS!7K)5F zOX?&qfiuCR>kNx()KOK5btyssCfj4wn^+$T%jEA26MX~Y_#S8oUKOC#s7p}PtyOK= z#V4M(>lbd=@BwMz*$Wm7%mw3e9eHOEoT}pROa~Q3l>#(}hGO~!kg}}>VE~*Bg>H+H zB_IVpcbY|6m^EuCodX{V7egtI>`2O{GxIi^J8AJ@DF_53Lz1}gC5&K{AdH5skOOoU zB$Q`tZg$f0DkFQbv0w&IXT2dNQk-;N8j$j`%>c|2nt#MsA{O@=o}X-b)aED0E#;sb zD}316%4<@>E}G>2mNz_XZ+*j?Y%Dctow~qNxn{A0xSg0iW#>*U*jQe|>Of`PZ~5>O z)+8G-C1rI_Fn4Nk(iTq%RGyl$>A8ZX6h1RCVzXy+_P|?b>@8n^%D(d3&)Pe`^|ZY~ z0QCO1jM?1zwB=?cWV2Fq!yR|&2k&POtk4GD;f|R2ZW6VL!7;&rpUStO?7IqHm3ZvC~b8Cvwie(U&Ux4I(&3{X*9>sjyu6o&FbYdN;&(oT4B% z1%0hiuP*K;<))@=U;TbpyjHEUEtmK~`CwFtYZkn~4*<=>1sEcDh&hRTx1Tn4-Vv|D zkMK?~6oO2ICwPzFu=Pt&ShOv%aS!8{5fXR^kDyv!=>|^*auNOnsNofiwz&gX@*dtd z`Zr)St^1QQ;Ks&su0WYG#h$e6E4$wkxX?8~mZ9_(IzaLc(3}%kWw9i35?NTrJE`1F z7RK$|%)CvD?>jQ60Lcdme~_2qJ*K{!mBFq&C(%Eule$3L_EtsxT=E=nEglcs@Tg4c z67;!3pLzLgQ_{eyZ(`eMW;auas?)JZ#e{-lkan6Qx~x@*X{d`bmI zFvubzg=d&Tq#r#)XVX@r9v2jJyy_l4R-y;U%~7Vd!ShM+Nl$+D>c!=;t`BlxqBNrhGUMPQWsYHr6unM~e+cC*QLM^y*r0mRa8g)tIoVU>JM|T_q>db+r zo_P(EF@+)Tcz->xs6Ve!*&*_X9Ed!Yp{^9h53Y#<0D5#Bz5UX3$6%BF0I>j792FvT zJ|y=G`ysGW7&y{kDpfp(*X?2$A?3_)cXDl%yCGK+qv5LtP z0xJl8tPtiDO^)a6#Qe0KSeUhm!kB<4;8n^*ovfz#`IMG&q5KB#7Q;1IaLj4JT9Ex~ zH%c3}Ti+GfEZFQ=L8+-6dPa$vbYIAi*qh&Y&c6DcZ?pT(o|mAXmoUg$z1*@Jmsjn= z=P%o*fAO>SsSke29{>0g_SECg+H+4|wHp_=Z0&NzRxg$9#&f&&!V~NEg^yjc&wSvr zef<3w?32Ivw0+`3PufR6@VI^M6VKRl&t9^voo$QdhV0B^)AqJ+Ja1p~T@Tn-f7dzt z%5OViZ+!Q(oq8;1xjE%Mt$J5os^we&aJZ}gZj;&^_78uw51obj3syIL5;~>2Q1ndK z2mt39{dySPhqv(H2JaCO6FwaDPZv5;T0x-bhJK?o99$yg2q^0B&`#osUh;tspX+At z^ycTi6(;sgykN%qf7ha0~26XRfG?O(+9b4bp@m1x%AEOLW=Jl4#RUI_}&wW=w zKDSLIR`EIIz8w+6Z2G0$qhU&pAos!$X4o{^C8pvKpNdDtlHyH|&J~efa3cxD!SeuY z6;7asIFR*tH&IaR-hlVdL2557dl!!hEH2E?+KI(^o1dNWX+`e26xeimEO{RFHCVG= zYYI?Hk?MLh!LW16ayc2f(g(}S%eJ<@?#gjtV%qK-pRqiEMS#=$fn?=yK5d!ttWD%o zmQ4uwDh=kQvCR?Q*tBFVA4fe=F6g+1D}b%nG>%-K3asq)H|F% zJw8T+65^?}crG5|(tU`!45Mo}J6O+w!4S5pBTqc@KA>}C`H>v-sQn;Z1Og9%VBfVb zkP2`3vxq#NUOtFF>Vq6nJiW(Gp}zEtG|3_Vh+pqghi)Xr1twJw?PkgLgcDRS0(r_T z80IT>8)X?Q?a&{5gvmXh@JI-!?y6tKsX7E(#f6tZDFGK9fk)&5=~MnF-;mcEZJ;*t zw1rU)QLzWn`7MuErqBj=Kyj5OlVJWz%%*Zln;%!_^NG{yyy`6V=7ALj5{qSk6^a^R zMYjx0iWQwrCf#E5&n5{*@d>`T1n?+xI#uZih+367bY)w)zA7;E1uLzU^^O=*mEoQ< z{ZV)-j-f~_7ly5|qJqaW42@6`&e#q#g9XMt2b^Ngs;tZdp7eqxR(E%eHd4ZtK_gZSC5=ZLS=W<5XutR~kK51x zuaDV>-uG#{`0N$;tc@?^?fy5-+dJNS*1qw3&f7QqhWqRt-+ICxdgr9goKIVRUV@#? z_3koJM@OluGNTJ`d=6)v@EaIH?GY{yDLUtQ2oipd1&liBVW2*OyF>U}QxHl=dF9sy z&|y?BewRBQZ|~Wyq7Tth3!><`F8bdKbc>hofDW@cpgW>iQgSYxl~HL{l`+l~j3OJ9 zmn&8g5W|y>@&&Beoxt%(P7XS;0c8#@AQ4d)fUTg?!!FqC*f5=BA?5Cw2SiLn7c zQa+g+_31u*zuFau2tJXx;ta9tipq!2#TVQUd}Lt@p<3NRAVc45zCIy&HlEM<&@>-9 zDCEZ^^YZ%T+tp!Yh=p+Ndez30!#!ZgaQT6ieU7Do0dg88D}BHY9WAAC`O+l;zOwX7 z%I=$)w=;?}D}cg~B3r+ifZNDK-tv=5OX;u=rmxahhM5w;yw@=q_*sEGvfmaMWDnf+ zjV&3?lBaDJY9=g`$w?*`ET6-x+Vw92RZCUdSl>~5)TEV=#c@3gdIgX=A&@&eGv)Co zlF|V_a-d2>hqt7-Yx`D6kJ;%{_t}|K=TsMbSubz%^NTh;IjuSwR=GR2T`}9*8?uJv zJu*Eh-Nc+v6~YxgmF`~C-f^!8;1PMs!-$~DNTn*zqtc5GLeRw0$LM4L3`&p>Rp1qK zgIkAxGP23n{D>!b-x<+!LrGwg62qsy>xZKBXjP{pLoy0j92C!3LOM5EGeNu%{O_Jn z>G}OmOZvR3R#Q*WJ&#*|=wqUzUa84obm_isGL^^ym-0*)Z%ZDC4gr`Bn#RLK&%8~- zxxY_3y6gvSgz;y}i(l(Dx#p?A-HQuil)&plJ+G$z0@&>C)rBpDUnq-$X82_C#Do>A zdZrZ78uV|@hr5)G__)>`frl_xv!fVAii5fboQ5e63Q1cY=Isauf}6tL=88jD<)};{ z{s26WA9}>`3UrjpZBjltWOL(bo0~$|WCT2!voY+JWvSe2w1L&m!nPbXCZ3Hcy1gpK?F4}f= z-F915>xjumvNKW)1sl?NEJ1|Vg}@d$@!nS`XhfLPg`b4z;=;V0 zJ$1_Fr>A|DIs18f`{`hHI-QdV28>63S=GP1yKS2~0IxYQoHI=P!1B{c>+mHc z)m62=XX~3qd+Mo+_PNhJYnz)Dl~ZNKl2)a&iGG)j>W7j({FY=WF3x%QO|Uvp0*~*` zB0$;pq{05EMb*b<+)7Jv+qyDhD;K-=!V?vH{KHH3;s5irec-1)YajpMlLEDu?E3Xh zYaQ&_`t~_{$2Xs{ul%+%HnkwddQT{Dzp5~hcg!9|9pk1B(!1yj#GQVja5M3g zju=9E2M!OMqNqI^xgNog?u_4rlU6wGZQ`M|HF{CMRyju zpZaU!OQSD753gZT-%JXy#01os3{e!g+$~kYf*b)Z7KzoHd<=kkL^pRA0P7(BMpOnq9XD$Y-l!asn3fPr^zYmWNTTEat$+y!blUT(a7I>hVX)X9y%FD3= zGPS3i_}%aLCp1~Sf=mjZR4v%pc)`YXuqnC^fvTYxbrO1#@tkr)zqlo%y;+ys%h}Ah z0E5!x+vLTqn(zP1*LE1G8DY++A~XKI_q+g6n8L)TW+%o9J_R5G6%NQ$M|eSN#ky^+Z>xRDd;fd2uz_I z=l~4C188$;71fohSZ%HvaD7LekXL{TQ;t{=#2v~9AA#CNhv5~)BRvF2b6lX80`LoR zG=Lw4RhT#+a}=PNaNP~o;91BL{3*VW?q?%+KrM&{?`Z()ge5-ufO3HcNAFN1h5XpjE_vd<_=rBmy(n(#NRcbuFelp2MUm7c9?s}XU>4?+`dm$s=gZ?} zaaltBfgOC9&kE3lK}fW#XK`bTyxkg~UJk|xg`nKseeb;?ULw;u4lLHM074a!_YKNP zIR1q&p%TbLFlclSOw~)1x{aRs2;H&6>!x?~iu{TcYU~bZER(Rwe9ST_Kvvi40-3wT zrmV)guMG4(_Ba&Q53g7W6y=DOhj~_9`tSuzYCfU7QYl$QfU3#@jY{3)thCy)LiemI z=1wMaR@tuG)n~5Tfq*PuXmJD%lhG-9{efQ^AI~C3;3_Pvzym%RUP6Up`&KXB06Gp> z!Pe0G>L3z-rMd)qdC7L`CEH_hQ7UW0iL5136E;4!D8PBj3b_fN_s7an=O(Z4z=Y1& zJwkX<(o8lj3wKTea#mLEnB_CfKRNKd80!+q2(yR*!lw1gr^iyKB1Y;p@ zY>_b{0lZsl+U0AjcKOPhJ@L6`?4uv~q+NRcs+f=wCv{K(VrdzH)3haJ$)}_!{Cmt& zJRHnT0$@j$AfID|b@@U_Rf@0XM?)Pzd6W@RFLtc5)wS~KuFJqlfe|3Z$V*rR;<73arZjs)4Qh@dV2Z+a<&f9bbgf{vv-pf3*r zPU1`>ni#W+z}XFfpry5S+t}F^C@T3;s_=CXnam2y*KgQ%2(Yxdv*TN2@!ju4g1sdZ zmY31*qa(;wwHcq##Z%-{Jj8!4Yo*WtUoH`K9W|}aH@z(dF*co$uSw*>z2 zZ>tMjvL9edGK`O5(05oIS8ddNhz}zdsaLO*6`u^_$#LJUBa;b>G%Mw%t*-9a_HNmS z4JE8CmP$B~C1)EdC)W-KpYh&OX0 zo3q8aSsT+e;0U>h-eQ4gG*pRK5>SQbmzD4JYQru+cgfb&mfWL0eHFY=Sxb4UHoI17 z;Lwl;Vs1B{X4Tb@;_b#2S8B-GiLP~|7u*BbJMIOcikKe`P=Oqbp;*+O38o^DZ`H%0 ztkMM@b?!m5J3Qd?g%t)*8gnmMUCw!fgddQ^&-FrtJEqKl$8aU2%B+N#CD~D^=F247yfZV3W^m6StlTQMeI? z_rFrDg!rR){dp)Wza&Xtr_Fo>RS(FYPctN}*8}xN+DGNo!w|36MGu&&q8w=JI1JWD z+>egi1)O&bHq#Q4Y((B}cO?*8wq0uacW~KfkcLzDkf7UBCs&5m3Up99C9C+@4vFCn za^`y%DtRW1w>V~acTDRf7VOhycD8_}3 zS1`DJsWd85x5GS0F(?&9V}=R@rDMHfnM&|=!iL6tMW`ddDKV`q2>^DgD%Y~D?Od~+ z@|pue@;l^nM`YFK7i?zioPhJR;=`kWx0IEOfkDC?(m6Vo zw@ebi$GoP%3{mIs&c)VE7IVwI(W^AM$XRq1EKk`}o@CQC> z7oWLcH34^4zSH)wAFKNIyD^KW3zjKN*l0RyqiRFuR59d~kT3-3@|BCx_^5=xgePsG zH2LHj-x6nGR~@TMN3Gt{ArM;Cb!pFPyD|(m%yyT|HZFB->6v|d{&N-k!pAo3(;vKQ z+w1Becadmo{^)*A`cZX?dL1gWFSG+kox{vHv4($apqy zE%m>ZYT2%@toml@d<}@L%XUje{}LIWO9en}Y-|a{Y^v`yWH=_RFp(2zN=Xp`_#`WQ zc$`rT=7tBb$x3EqFLJ5TP+zUF5QfdK^;|N_7Z><}eAFRcV2&F61zX^);_GQ?0F!P< zbM{=lA<(4!39lF=BU?TNpe_)>7C;#m5~10VMGBY6XMLL_7LTHI*EdTl&$fGU$tysa z5f>H>;pJW5-cdeAY);1c1E6KRcUUCD_v4!aNOhpAFV0+;o0NXyi*CX3vDezSwHxd9#1o&g8_SoCFWMCH zIU7|y07kn*N!6M3XCkfkV?kA3AVZKWuIEYBZAyA0-qAgQY5~;fxEB=oA_64=Tmh;8 zbo_ez6Ao^0p23J=jy{|tnZ%R{ol-9@WSkYGuhlL*!0QQk6(%CIG?n<5KZPTDJfA}> z2x7YhJ<{ifdTlaQ%f%TYX{8lFX+W zg=w&AR6)MSrW#3=%n%TjjCT+#o>iXiBGw-j1z2M~2&>AO49-e%EJ*h19A-kcxQ3zn za%0mrwy#V0uSwX1)xSf-2&V~IyytA9aG!+DggS;mp#*yv22ctrbJW13=|k-*p3h^E z;AN#SLo0JL)3!J}VUq>6fg)UZkNH|yajf$6709~BT%)EyFIz0lO;1^+*s%50vR%Er zYG3%=ld`B^5I{!|BB;Xf44;l;3#1~S6fLvLl{!#f697&L!BkdtoAIHZgbuosZ{MR( zZX^hRVy)7A49($bVLmN}g#%9+2I0W{FM~ryN4>1`ojt3rA6W5*z-}$H{oN&{>3j## zYSg`2LdVT?l(&99?Y+{Y-o^1(dvy2~aTBI5++oK&%nPSS=OI767ov!I(LhnyC=^E& z?B&SAM)^6U+j;ZLLocf40o_D)=b5%EFi<)kbLjEq<+jCNxnF>y}RoG ziqAxD350efRC9%_4_}9^vm!&6`F?nZ0FF|Ll4-tbTymf#IZ&-OtuC#bKj=fkwRrivf+G^_+{Yh+UK0A9C(47ro4?R z&l27l84u{ujM5KB+S~VTQvi)YX7UG!0o>8PpejI<@5tgl9_bqgg8{t3f4*fGfKz!# zuecr-f1qoJ+3HXFI~JFI>#b7f=q0It($PLglPMZ}IVj;Hm51^W9j}D>)UY3W4b?jy zL9hg)ozipgwGQ%2zBrHMFz-_y(hJijJarx%0!#p8$ayftT%PIydEnrhU-si>p|7Xq z0XzkNehBo!E&Ya;?0-f|Vf1s@fnLYwY6cH7PuYE9RQys0NGrTASki-#emFdGk+SLi zenih=%(o;CcRW!Ko{PS;DI4Vp?^9>AZ?rEb#wGXF@`_jW?Q!uw4=4wvjgA1|Ux`%H zcSc*~ifxu^5)f)^CBVkb44t!yFyHwGbn$IxHY8^+IP$=}6DkVu#ENTHC}QDM_-?H_ zFoCc*r~nMPiSdG+J#*5Bo%vpL-~cfo+ZXM}?D8{9_SB~@$O=%!Q2BUM_n5b-#!_X4 z3Pe^gzksTvM_>iOaQbCWP=J(!Kru1t^Q*ivHNYE2aWvayfz2znwRPEccW)@qvN{ws zi;yzu30c4AY;OF#jVGrC;qW4;451CZES?wr(YO(XiMmQlM>dm}Fq)E}oDVD4C-5}t znLu<$OhWznCnc2~wmjHW-EWkNR*;~|OK5iL9ot>ovEs(A9jGqi0AX2!Np((E`868* zR+r*xlqG;GRokmJh{#46S~>`yyll!E_Z6=ybGcG>1&6R_Pf6cH6Q)*Y7*TyOWx(fr zdFMb`Mcz*-9S5Hh_A(wSI;ss_H|h$bj&s*3wEq!>>!Z7B6*V^9BXoFYFK_ec+QaC7 zu8;1CV2$2spb%F?eIWz&(zz8;hy1(wdAN5(M;9TS{tub;Cw)mfdFY$+8^ZFSclHw0 z_s(t5orNAyKaHxdNLZ;7hb$>MnUYc6$)~L$u*fI^+n->2B? zXJLvIP|uS0zR1dTfFxheK^}51E;)?BiLyb7AcIgukyk}s*AF-XgOWv-fXj&2@wfqo zSb4p$FlSR!Pe8J}CW^GC!Yie@b7ZbIb0;rM& z>^(dskTyLjITstU;%?1u+*tQj`8CN9HiGy0p33i~D_8v!naCi(>%{n^jiqvy8%?U4 zO7^H+djRPn=@ZGNv2phNl&+B6g~u5|OA5GE8V9z%+pwzSULuvT$%%1+Np=8X(b9+& z(rnb8wy|u|T8)~F6Ls{4B%1Ny$Mrrq8L}PMw(b#h~d- z%Cb2Y%7#xSvR~(%0P@th0H=%!HHvkm61yoW^Q3@pCN1DC;Hmfc%;&^--WE@sveS$A z9Uf;E STy4Sv11Rn&og?y8qL|2MW@IZ$JG68I|QXM|Vs6o;N?W zm2L!0XA2YJwXjnH(G$1N1BLH&;BfI#y-@*70nS8%Jx>Kr6$ZYJfF8~v|Kz0r=3bj^ z=^Cgo;RoqkJ?GDH0AXDZ>zV@T@Z03e(V6axXW(r=D4O1J>54M%9o~OJg@{5P_SJ_S zpy^zJ^e3FbyYxYo%gLYdh7L}nG^sCcsuq}<0yy8^*%ppz=`s0LS%gVgzfon;kkX1) z#z(pEVQ&5MKYu>erPE?8)bDyRI!kdZzMokgw>Y zIY+3~ouR%^B`u)=&lykC6jhcD=`xvr|; z=lKlleTE$(51Cu|RJNEIAj905#gmJ^!Vznl%3uhct$|>8n7gvwu%|!wye+@5VIv)e znSKYaXf$U+It(qNd(7Qp z7(ScHN&vH6(v;25PRP1Xd*7rpu?HF87WQZ>j;q`2wo=)!{FH=KA!EaP2evQ3h#TG) z{m3$BUJTxhMw1QTWF09FNp(UNp>|a7?RvxZm}gYep)iV8Wyf{j62KjnkW9)jkmZSB zQ9h|hIu)JPEndY%=SN9JZ3iHYga97v7K@CUymK2|_$m+_cSybZKkN~GkB;c(o4w}i zz1MqF|J@X?h;WBtqxhY|&FI-JDGE*;{u2TdPk0ZZ#*Mysqxkss`$xPMQ4kO}zZ2rV zIoxZ3ZmzRmCRCRkYVfJQJs%ZG3ZPjbYfZIJ6PYPF#3tx?3#)wERPrg7Oj$aYbFUbE zkT0$=zl}}U>FW%SOJMmPjr4W)5@%ms1U#Fqr;~ij5`!I1&_l^#2MN0NQ4HoH(vS6y zY+WnlGB!UqZKqD2u#+b-{1=Se}+-B0;svM zg7L{soDP$c=X@fzu5$2YALe*YPUNkSiA(v$H4WZCt<I+cJ zexRjd(RO!sRKLUa&;$3|o8S1T-FIfuCZ{q2k*Z6V^L(&FU@}*5Z*-hbc#aDM7m^OB z*wtjZFeyMfXR|Yls^@cd_Uywpw|K^;=T7)BHGjfo>)j@Jkhy<8TBmdB5U><<8~LGp z$P*3-Srwk47b5SX%O#{eS1|iR)nBRzY z(;vYUAwG!a;M)7?9>2Utyn2mjyl*K^Jr8^k!iTg%|LaBX2Rgpq0GFtIO3OWxdc+WV zI-m1J)V}CXL|+K!3gK~)ZPL>{^(VekC64#HCrRRge?q(InlyTO;Q)XGQh7h%Cc+VG zXiwkvDmsWy2jvc6J-id@jQC!j?wE_QRsc*nS!U-?&e@wEz0V##chZL?5L#?y&;`IL z19->C5ZeT?*W~E1Ft@WmnAq-~YfmTl}@w(adJR;{e6gVe0su1aB)Ej^sD>FmiK;AGXItZR`o zv=hTwq0Zn8w+g)@&`5z{>7WSYd@f~k(_<2ne2GYcGNpVmB>}Gkia_c=KX}gJVK0mWyl8)r4NxyQL$naARIPwmW2xAsh(63&V&qik^a;~)@Bsv z+;m<7FmE$cIh!2MSU#Hy6WWo`DwA6@s$UqN(hvv60AA8V>(`m~E>l$Py|j-yfzG1S zh&%}O-^;(>I11!Z-1N@z2mRUT9`s!{>vl2TwUa)Q^5datcx8AZ+rRF0> z!vaci$uABR5HgNWn=%Ed(Gd8lG>zRrSPaDWYRuDgWve453p1aV5uZ;8a55c9ZKV5n zfMPmAHw_#@*OrK|jDXwJL_vLjN?>tP#_zagb9rMUbmS^PYjb16zf{IN$+CbVpJWZI zfJX%?_pDfA8>hNVf2E=P<6K~VCUPIALpGCkMck;i1su0*b#=>10&z9PgJD~%R_qH; zJ!Q{aykuJfmn>G~OGM?>UE969VmF?4&Mi(^K}I&4jxVjQschTs7(wE>*GS5@ zE&a8%Q?kv~b=$bUq_S7sn|t56Q})=yXKis|Ozi}~?dbgtwN24Syx7_)olROMpSEm1 z>(jte!%3UUPubk$f-NrIZ)eUtY9~&gx9Jn7Y-&+Jb8*p+&^~vU4#b0u!U6Q674v|a zFr2L#@s1tzbCkdERWiaUjIP6+NwtT<5)Z$8`Nlyk&wHSbxpo`Mkb_nnA|AO8f6dR2Kp!dl7m<*`J)IonaFh?>1OB+@ z=_xFQ61m*%g^#`_#}Sese9-BT^NYgLzjV`&=$W6RH*v8TEND19cyYD4Y@6G}Imd6KvEw z4vr50jI;WK18p6>Y`iQH>zxsGp~%bCrmZ6cBpl-L5gU_*I3tU8T-G-m*rp{IQxcwh z#w?df>UsE*3PY~U{bTqR;E9`z2L+H8M#XCm$bQ#tdOo+Epjnc&v z+H!Ek%DY;#XlvV7ZF^_Q8ns>PvhQ1U+pN58S=Gl>YRWf#PmZRIErsYLfNybtS8|;6 zl@^^YG^QT)8k+vWusR-EKJi9f&d(I=!~&~0`RWaTF#t(`vE;UuC45VJB|CY3+8%iL zR9N*WK~INcgJ>8Rfa+iU5a2{fp=dY)FTs$^tA$apE?bJZ>*eLWxBzZC8S~Gw@l_~1 zuX6&QvjU-<^F3rH`?IPY?}%GmDoAutzxNDqI+1qo$IIF~!oyx?Q_=l@=;rGv+x_qO zZ|{CT5%%!5!b5%?J?KTo|HOAlocncn&M&D&DMojDDfg&9tp1NO+DB1YZz5gxhrHE$ z_k@mR^OpnFH+O93#;Vne0C+%$zhwtAOf6!kh?x4>kd#Y%uj{~yxz>0rQR4oUARY8g zJPr(ZXYr^= zl>5jA^CJDb{R)F(Wx)-yn{!{GtoLvdBqggccA2-vS6uL3Zf@=h1TNW)XEso$h@R~ z0f;&K!6TNDewvwOHF`mcf6uNhZ`#J@mOyk%Mb)43NuNP)vAAh#bK7bH-Rr9xcKO

L1KmrU;LHKl`w9B8KmHkrQIHHzGha+_Cl$=EvP9fM!%~h_X{(9Ec9uEqFe|bAE!ehkLMx2jYqU1U<(zj}V8i z-@tGZ&xI*l=w5{#iHR}T4>lqGVoHMa3-2gV{zxO}80LTSaTe)e^gZe789F^=Mqzaz z<-i8P`$tB27W6KG{kFn*+PwqPng2Q_@G>1e_p)%W7mEJ@u;C4&58*@1;X0i2es~ti zU$LU?mz0tB$s=zE`2vUx9^3vy&!dA_d*=>Bd--`e;;lO(FO;alHV-$}?F$z!*~Kf@ zttf%#E16_*v}#pr2o&;p##*akEdd#ZvVkDX-^4A<&=2!H!#-pMo1Mj@SrBstkEU0m zDgh>>VVPXakul zPI=SPN@FTHWn-z?@E!G@;P9<~XnYif8U^cE#Zmrrc>yFI^N-Bg?1_Ty9ki`dt65ET59p5OR}w43Q10HB z#mbkC_N5fu5>h;DlaPpYm2X+#0=wy0T%bAT`+?F?QAk9?=hT=CKbFS>8oZx?;(7Og zGI5_z+A+U|`M041gpPK1$@{9xd`QtL73_7~BLZ?y6m`Jf%cAJ|@W#tfUs_P~ipSaa zEJ~wChrxRPN57Eyn*lZSc z?E1IE*@KXg7r;_Xpo#X|XXJ;4DUw@Ffwd;X(2bhEALh78zA;@z#y-RGiMV77z)&?AqG;mhI@b zq4e0tn7NhXW9+w?_xX`1b7W~tdD-6Cu^ZQyb*$Nq8ymL0&7z_ME0vqRAMoaOS#ql7 zavfzWdt89IVQXt!u17`%L}nLeY)mrd>8GEwPe1XLUA?iQ_p3gqyr_Chw7NDvny_p- zVfl$Mn_if;*^>)4K0EF8K-`nlllHpTKV+|akmCu2^l`R;dv(zTdPbp1xoo5h%XA zzT_iL-Jwz2liuNjAy;lZYuBz^u&o<6Y_C!h$drstg|Fd^GBr#`LppPLV@Z1S8GHKT z7wqw8KWm@6@VJi8`ETSrxtpZwa2`W{;E8s9EXKj0L8dbTi0*=-XD(sffZ%y}=Bv@g z89a}`D(4R3q#rnZCl(k|ybu5;`#mS6Z^Cp0JoOkRdeP%%x&{Xx&1PG=jx`2ti~>gJ zST_;!5_uh?Et5Qp{HK2o^8AfJoS`Y5k9kjVL?Dy$aYTe(V?L#Fr7O}Q+VGtG`JuWA z=j1uWPL%{u7l^FT$9T#P5qN@mhYY494+M^6n6WS@v_~}OTGi$6P-g)`C>?aUZgSrj zNcYkq->P-b2lqIqE~4^8K$E=icJNw*Lez(bVzw__#IH)MJm_AOmk5mZ0O{?J=k-pg ztwOmQSMk>cSW4=QrFu&ptEFqUAzsQg|OuZLTpE1lOYxAlFDYi+m)wR?bE;ToHa@W8*fHnYPK?m=8^}AgRHY1--CL8z7G`qt6xLP#I{*8jfhdAqu6on+nK^o|F79w#f-@q*C7 ze1TT4d~|32=puZvK!vnXIs=_n>DF3%wj%+$wNtffrQyRUcw$qkleBR*lZT`LP9}GT-ZsYDcRbQY#oyP z!dPV_hG{WOiD5W+Mh5A`BqJ(en607WG5@6OI68e$!T~ACCgAfL)yqu_XtTA zpo9Q=zQKAXt(>xmr({b@E4H+52hN|7d`elZ zT(M`Lxn!Sz@`7(Oh4+yS+ktZIUCKg@lz?`MA%4lvN=<1gpTnx}R7Up&64`2MM6$5l zLarYO>;f3~?aIb=ySVX!?Y2saSM4hh$!D7z?OnURdcn5WR;;V~W|~zZk@7DX<=N6N zH7ek`Y1daS+jEzmv`;<$5qtK+Q+DObCA)gI(X|B7 zn7SeTEIse=Xc$1NNZ@6q?bAtg>FWrT7I`6WKE%x*56N(k2P5z2;XF(7rfcrI9QViM zUk`gkINpya3g|(BcZQTwh%V7Nt7@CXK(L=5rN(8v{`P( zy4fi^$V^%%Jua-F{*}mCCziI(Xv#Y38y)dFh~Smzj=?76tCQgZfhWG4L#O4#`7K$; zEwKu<69=_1nrp_C;TrRDS#}*!x_h=ZF!&gcv9M(IZuH?JH z3>{H72uAWixOV-(KJ$?a_Sp|TXM1&3{0J-60Ehre8jA|0H&D@mA(_|1iYi?3Y;MjF z^&#N&&tfWNZ!rBFNZ^3&X>f%vR#qi2Z%9aNtFi@>74D!~vW~!TvTZgtl#|t6utK8X zE5w<>5&$}Bt8VZ(O1aR!Zb>+W#*elyA+LlL-$|)-Etihj)OglTEKJ#%le6ye%n0N) z_0H<DE@$-Q4cM7lnF-s@z&K!?}8e%gCQeB&1pMGwQ-Vc3ZJuIcbMzk5U>Rvl4z{YLFX zr2WxGad7V_@4f5(fFj~OELKF~(GYq-_nPq7@ae`@xh}A|W3^)0zpR6zjpxEpI{E@~ z4~t}+148w6JVk&a7VD&Bpl5O^ftH+m7o*kW^u@SjGsEP_zDlj>8>u7H@cf{xT-ixx z!zU;wR~CBD=gKP#dvG#rjyG{jGN80uwtB50S-j`-FY&n6bX_BE9W_R(q;weG=iBae z2a{b_lzu2Jz;j1BVjmr`r+g~SI9@}g$98S4=Dw{gZ~GUL817D`Gd8z?r_ux-b+5$- zJ^>5@96k+;vZ^kVN$Uy#wiU3cxb{?k+r?eGwsga{X&M{jQ^OhSG^@6~wQ0{i_nZLi zv%adn%5EJvN|@s=g^X;@E9}HX);+kp0?K8{KFY#0B|J`rf&gbsU{s)ZSXw_TTpmkF zrzNNZS`KgAs3j%)k&X3s$?Baj)nRyut@Co06nGuU#jH6j1HZg(8(S+@+}^OZ>U(%! zX_1~(76<+OZWA&l@_-><{2axp`#zlNC4&HIgu`oN4}U-(0>#M9; zItg-sOB~)l$VdI^JwNm;gi=|1GPQTZp9O#!-lMbN)pb14)8_<5$_G&DZyo-6s&q2f z@8KQ5C)ZRbEA!RL-nR)&-ZL_IlKH%YYRLPj=Yi+M-P0+$b_bO(2~IbhKpu{#q@%FB z;~-!6Rh8bCc#mVqaZ!|Rh*wRhLl^O^4W}n;B%>ocX`{Jm@#~C@<4$$P*f0%##TG*gURYY=4n<1INK6{)QE#kF=-gGH7gYx_PI|yZ%Y@~ zZ8DXyY%1Y`nGIh%9W1lZa3p~TK(Bct4GjZq!zy*k28$w8q!QFQLIVd7sQ1OFOrYIA zVBfZ7+bCYO(q7H>aW_{Q*1UGj_OCA4@Mg{8m0=qb;G9;2BxR-fd@7g?CR0J(+beJz z8)dkFVSG9k+(Bn{cJafjL>*C?l>qCizG5~rRj`xu)4s=BVJdG2YKKy7*A^Dj_J-G= zu-U1ce}0XQ!_avE(JaK$F9w400F(0V;&O$Jm|GIKVX;9?g11y{NVr#QZM$UG*91Zx zfNt2;l}%gHHFI@KQYfs5<#SmQ8v*ITCR8Wb>F*3N)$fhKz^Wa0fk}io~i+!p{#o59z*m#UO3e?`Vs?);q7230S1W@ z9t$4LJ?ZiA2}?;k@dt8>p>w{44j5-=7r=?s#N9|Tkcp_S-fvg4_ zD4%)<*u}ljDoTS)b8zn0z57y>F28t}vW5hm$g}5LVL8ZyM*-l@g!Fq5OGz;Z_H*t?~!_rFiLc zs&fKFX#+MP+7QxRPwQy7ojRk9dl_U(p+M$PT)2g;#?&T5v9ygOGB%vZ*>I|0Bk3^* zqQe5BBe^MsdlkSYg@IYf6RQ~!7zuSwwm(8>q$LR0Y6m`{5L6~Y4hD>d#i=m%Bx7z6 z8xsReXyD-HrtkvF5|UU-45`!vHmjvw35vQppM;Ix2cT2uO2Xek2(PW~*#G^BPujDe zU9nMydWK+j9c+`JUlb-Gz3my*w zs&}JDQQS_1Q9yza^eC)9@Mj*{9|j^X{!8G#`!~hw?}xL#Aidk+0k=Jm{C5+Dvi83Q z;eq!EUNdw&hrdinGDO`=eY|V!YRj4eO|>2NcigvFI&GulS!+oYpm5k(0#5_GJirI- z79%@d%N7bYvoLRyGgFq3EX4~Kiw_w)SY$IyZHZe-hAC5(Fp%L9?~96r_mQ;_O3)+b zpVDDo`>sIbjioiac74^BSGNV`_%?d*BqA#C@^S56O&Qs2+k(pkx#4q61vE(`@V{gU zX-e(|P!TvV7~BEO_#Al$HH@|#*!pV8E?-{r73z$bWpY{n+S#zm;X~c3BkHQ8I$L@E zhF!n3Y^!SR5D2-kQMq2^?%{1=j~@d@Cp05 zU-*Q5@^eqyv(LR?>+9_KHKkjh!^5 z@~isxX<(|`&{TJwU<+?YQ6yvF5$**U7Fv^bWy)LxZ1_c|FsB%O01yNKvKSZ#2wMV0 z{J;nwi{xC-F<+C$Jpwb!*nkuFvUDJR_`!Q}{^6^0qs& z!d)*E=j0XO^unw3#tybltk{}pu%@5V9cnmFokLeoqQnJDl30ZgQWV&XbH@?W=Ze0PJkvJ~(5f=^-!e$bBS{*r=#G@A&1R%<4 zO9-LGHJ=AVa8=6{>$Y2VMxg4k^QUcGg4SKes;jo%ZS3#472Mn#vTI9K`>CJ$lx?ro z?1Thyj;}jNaQl`S<-3pwT7J&iOG4WnyL$Uk#HyC7-R zZDYS`YvonjV3pK&6MpFQJ@WbpCr84R z|NIt}&n;c@7ll1ep_2v*;UMn$?Zao>>$`vsBXmv+q;a85huoSmPv6DOza#HneWkK5Q}*5`L;vy#mzz@X|BO*0gf z7Gewq247-iGE&5R^-{4S(6uA5w=Lkwhc_f+>+G8hm{5zl<3zwn`SNK$IvW zAu8ELIfyqpXwD!^4$&Wz4Ge>9MryoQKcfZ<&k$tYoK;uBj~k^&71JwAxVh zE3GRzo3nHxCw-W;iNc)CPM)*z>`A4Yv(AWs^ya#4Y_6%+nIjqiHzQl^=7?=>OOKJa zdet_HJGQZ_L%&~a5BgGwX>ha?Z4`hGq(&0aj`;t$rb!*M^xD?jTKCZv@CNOPF6B8+ z7Mv}tDe#6@91%#v`#U_!bUM77Y_TVP6OJWvR)yz8b{n&9h48g=aT6wiA=^C9kzvJes!<2i6=Ox|N69m-n)$4`obXk8Yz$u zmCw`GAN9wmC@BU*(;LbU41hzAr)Lf$Qh6CkTPHnb2R+A^mtW<+>A)FwcnIkUlp+sa ziTYaT_6R_hPzOt>KnXRX&jErlh)D-kPDN4x7>2EU_>CF`!XjjaB*VHsJfz#q;ThTo zs0NVNY)a5J8dj;5BesEJG)5QB+Fmjz%S&nICT;&l#rB_Aw~^JB?XH(pKFSz?b+GIL zlQMUd`6sF-)gv8)PR^#sxXGyt0leCt?v2W#QwQ_CHw7TY5E)s~30Z=1f%j1i)oD63mI@hY|vq~LLz`Y=tzt;iuqZU&g zlVh&MVY=r}d-q&0^nw$bf8mnz-g^-phKr~d@>np)g}_UY3p?WP5m^Wn?r|MLkO#lj z%Xbuzn>WYrc_6rl56_Q6yj*U+T=eBk;nmOWy&(F8uX0xL*w-;DMJt41war~?HJTPr zNIn)acA!2hUEv4QT-ZXWsBo*xo3^~RDF9XX$^4mo&Sqxk?DT!-?14uf&~cxgd+@BC zx$lgfJbThkoH=0&eC1{)E2A|b(8RW8!!jnNyaYNWHYM{$1Q?M$0YGxJ`BmD?-(|yhHwsG_MeEJ)a!mC^_+Qu`IHQPIOuveFE8MVUnxJ{|d zi)R*GXZROS1WeFTY%x=+R0TNeJ};F;N4uq(Ew7e6&CM;zu#J*!>mIl$lTBNJ@0iQz zXDUHWz?)BD9!LfsNbWY+S5tY)#`89no6#|4GZS+*F*awzorIM)npWMe>YcU^%Xg(8 z*nPl3wsO^0oLk#<+buV2G!yfMw+#WR#$Gr=U%tEKZ6|%h!Y$@#2EZ1;7C;h!#0OiL z2aGp5cstc13U>&yjs%*6Oq?YN=5b2V`R7%24@dwY^&MdZHu-$A&*=nH=zacR6FfBN zO!OD)F~YRBy%0vpfI+Ay^e3Rr=K-sJJqJ8cB!}`}6h=`w3;4rKA^cHX`cH9_fc_~B-U;)U4;)ue_RyzPKho2weBKwUanEDY`;4j* zfqO7@(>HzRx%f%2q?az>xCb89c2V9*k8?l#T`~gD#PJqz52F&m=>yf>NOsDGWGE5L zvrYbQI!NId5oPc6<>-#VrZ+z^p7>M1uezI^O6(QZl5sROzPO~5E8@bk!n=iP(Hf)*xolLi$TSsekS3drGNmxNea zD%tyg{z(a|Eh{UI{cb~y!Em}dit@e9JW$1hXMj(}u@U_4?ydyQrZX%8pB6%(2Fr}x z^Iz}`I>1#Ou;Q+IP`35Xw(VvWesRib@dK-?l7%{>=UO=AX?SO+)seI4?PJeiZ=yI_rtV;VF6?b!-fRe-e}im zPo?bL?|#@Gd*p;~X*42XJEWuC<`ZnH4|P;5eO62Y#2xSsg-wo`>&2oi_R-8|1U%CW zDe;?hFq-2tYw48QHmR`ewaFf!VfY=wBBXv;NDwKfyG=nLc%#vbI#oyUtBCxr?!k9{ z+I#1SxTf91!GHYgz1J5RuigA6#2p@lhke2OD8v~k#1N$yu5R^Wh>!m~+>7!YUh&dK z?;ZxZIqa)J$FlR{?B6zh@o&D?$%n_0TdFJ;+@b9DYHi!!tXQj5Q9tZjax7~j`J{EF zVdz2tKR!pR7^%mVc>?_EuyLTF`R3Zb=U; zuN3Xd^-bH_WtDfwMkN36Y^w5Hr!YkTJ+!%8w&qU5Vu~{%;G4!cX1?dbya4wpm37SP z6|hVGQ}I!s`o-=V(4Le+Q|T3}`?kE@u*<6zyRq4{rLDSMUfQ%9tIC7wy;N>Vp9pNC z|70k11l;#1pT#XdlJOPtW2u5(krR$YIMPboid~fMKF& z6&9HccqGr^K%bJu0JJCoxCFimS%KREzwzrOP&z#01}L7oE8p8(>`w)Cb9pePN;IEvHLQ$3+u9So};0G+-i zl>mZ=@viUtru%?R>YYzo zve_=H+7Ya6HAr1nU0tXh;l=9p`I%{(o1RfAhiqkyxlJ@86%iODVsg>|P~rk_Da3f zRHOvOn1S(iC?D)?R~FdZ9NMzRxCBrxYh|T#Fp;$h3Hi2!PWQU<&`^C0u_v9tpRx?Y zkQW-7$@Q$PROLEzAP^&>F$vd}mCKwZI$yc6Ezr0rYq_Lr3EAFsg#+aei+eBGwW(8C z`xRgPh@Cw->0oo8Jx>KRt4ukfZ|}e!N_-$BF67ams4){b&Bvb{2z6e<2mg; z^}lcyD7w!X=b^K5eRBwB6+hK~Q5t>q5oPD-7AMDV>bfuAfsW#Uj@Pm0SnovnzB&BO zVFz^g3C{-2fSh96F$`T4#U3l81spq#mc`YVVv-;G>ZeWQ+8*8rl!`!DbKgq46Vb`v%*yiSrFYsenJ0``=iuHV6GH7z#W(7PKPMxsR_n)z|51bSDJY#3> zJ7Ehar)_e&;2(})ekWc==1@A|6ko9iFQSM=Gro#e=WghWzXJFhu`Da-Rh}AO3=%kz zcr;d*^XXgm|KuD@s3;Vdl$+`R{m0yMUmPkvMePG>;alp0a2%9%Qy_e6t7NQxM}hhm z%9JVJNLvTuzaya7Dar8eDovGRSos=NzLElMle4q_$<2H|hoeqlHDOcZX`7!&SV3UX zSMBSM{sL5}3Ah*Qd>?(^w}X4?xg~r23oqE(D*KG?TSLIKt$I0#OD^l^BG30#&Zcx> zUAl{fl^3tslb?FhEiJe3QZ77&xrw+H#u#DB z`U-mXG3B`XGE}@NUW>NNLBEm*mnc11gpTq#fTHLgpk^3e!u^+evrG zKJhx(46o^aFQ25PdLLm``Dj{Ubf0?V0AThG_SuZ~*2JqF?X?LICH_~U(4KcdbZ}OP zH^hjH{@f=k`8{9#2K)ARztz6-EsxrXg=qmayj(*LKB!O{Jxme?M1_gMFd*@;xjTix zd+6J3wD;UY>R%dawtWH8lmrHhxv{fjd;-laAKeFR!faF)#|X&$(oEJ@b>8C|};I+v2%Nd;RN9 z+U%s#RDKZb{)LcyTJ6Ip?7|m|CJK20N4`Z1;8iWD{#lq+27p!sKvhT0R$XnxzH>eA zK|1E(v%nC%z-NIW_uk>)GZpqqyZc1@ga*Z%!L|P#oCq+Mec$1pN^x)oV{FLpeVIhpU6pnYEl3D|-|`JTg6gem~TdcRb)0~y)O%}S5wB!EV(p)eTsfFkEp+EquZ(YD>KvMmeDT)DJl zSFhf%<>gh|*)91rB)n2II5LfoE#w7a_%!3p?6l3Fm>1Aov{PqK+sQMhbiH6xGm|zx zHDfK?`DNr7nzCMmUje>Ym4o)uuskTxh)6~x}Z+nYrz?y}N7 zeAUN?OjRFz3td9k_NxLQ^{_v%M5%RE?xA$r5)%b4>sghR?c(C8QOgxlHZ7SrJti5* z$Pe+Tewn*Y+c;Pr9a27+GS;zC$y>fJKg!6G@-~u|;*CiMNcLJsz<5vLTdMQ*C0l;_ zDf|2<9=8{syJFii3Yd2bXl@i+zH$7_!i*)AFLa524_x3it2`~7W|~9B;z`v@Cf+*| z-iCLZ4n1W8K^%@f)W&|0bLnsD9(D}6IC$T}+(7B&eeo;$3mq-s$~i`PSZfi`j#QxH z4(-VN*U^{^ECJ4_U5T4;04LTduy-~Nmwf?QHgQLQ1YjmoVDd;^x$&>}Al^oI@`&^T zTHqP^K<|cpkY41p@&!Y>kCEkJ#pe-Fizw6uX)A0GOosae*A?N3#|z<4{5r%#ymd>cHgA^8-;?EAR4l!|M#`4 z4(7hGGQ7@w>CIhRy|HHND-8LTd=Vc8J<1lPgi>U*0htUyWJUYr^o+pIg3U=*FPu7Q zr_Y_X)AyaS6XzCnJ!8{z1uKlFEFmxyW4K)ga!_!}k7PPvlX;ZL6*fN^lL0$X&@q`y~D_!PlJ=L+hcT6?TZ5oV8rt<7g2|F zf6$|ffV^^q3@h${8@S_l2_KQpxej?`E@OD+<>lAo&~J2bN8uymE2^(vQaU(4y5<)m zoL|$C6$eA+JRB8IRCLZdkPt@Y(!qOP3_>eksz~W#)f-ZSj8LDdZ=6VAqo^HNNaf(v z6YG&q85!}B6`lL{>WQ4y3=n zG1!C|3i+%}$?9g{;kj!|_Q@wN+Q*)}WIy}SFW9G_de(*GDHhtuTB!@5P-#qvW-dxr zm6~v{85qyE<&Xetu{9AEiz<@g+}-VMt5u5kr8>ONhDF0(pPFW_O4+*fh zOSakAuuf`E3S`>e{jPUNs3%QQ*yeH*_Q?GY+2rJ`HB^Z;=E+L%F@%v&nps&|6SBeq zpR*Fwb5oNxJ2`1nV`J_Ch1puN7ptu$J-CiWodoM+Sf5JOQA$5;`eb2n1`{|bP_VP(k4}L5RarB;f-X+jHjlN)< z0%2YpzejkOr`w_15BVz4Jx%=8qqO=~Tt*{`maqK)obafn0XeC-jYx>?)oW_LJ&R{# zOsXHLHDy?LBq!BRbx<{j%A!YI$|pFs{01(Y_^U(bH%K%t|VfT zAu=@CR;Vym@OhrI^K-T+*?r>V2|IoEl%2az0Q8K2=i;=Uk6A{>q+W%Id<8n68zv9L z%feBd19<1snYd58;d7P?3)6Py?4q4moU*xDUF%>k;K>Oc(jyaNSs!UhGg=}8J0tLl zw=oqHFvcL4aAjAEx2J84KMs~~Ky&c{Jg0;K?rCi{Uh+%8$!X4NvvLB?`S z06T|gcU&@;kvF9iecL@La2E~rdfiYqrOT)sjt#zf9#i~b_+I%@n!a`hp|3aa6j2|{ z!Sg9(F_UZtyawk%P|oV7ik~$GC~wCh^iKe(&Y4cY+*Unu{l*+VHjL-E7o@CcQMa1@v8J9BA@On#!AQALfz#MF;WrU&F)b zTV418kQ;IbQviM5#>7Ir{_8(pLmpOPynV@w#}R&b5AYg(c^>Z5&P<(PYrzrmO(I*c zhROy|KT0#CPZ=o_ZJ>@I(7Es6(wm`|7KRdei>5!&*F(F6JaOQ}qyBiu9bMEj1xaLW zD3S4as4HKi!n-`{9Z@^_;jsn^kI_NB8!tnlRquevAQ=%}v2}I&CobKvpa0BL_J2R| zxIKC0x>aT6rB!jG0z#XcTLO0tbwWPT#a2fGK`JC51+S)i@svv{fDK@=UI3LvS+4a` z#Zu~pcuJ}8%`F6{tX5SN^E-V~tqK@dCk1VXITsX1hiZZ$DH@;IA51l>O6Y$4!%y4V zwX!=Y`6>_$OQXPe5fj1K6vN9*4{)Z$^XQEmR@LDZ^{)&u+@gH6_Ucyd zmaIKFV%ZZ@)?iLfqiLx^-uF?fUfHzRPRH`YIZF-8S{{~=Voricc8C5CKpf_z)1s81 za4$?_U|-RiK>2>FDGPke7A6)fpUeiPWN1f%Q4-SDN;~%CwF|aVxo&6go3yWf`|Ito zhaa@Beb>9~tzYprTR3&bifYW~S2pd^%C=ou-?5eLifxta{;4)5&Z~AMbS11)DS_Fn zO-eD%PE6SR)Re%ejGBt(y#N6J^hrcPQ~~x&P4KBtb)fd1RV!613jCHzsspw2y`hNv zRUdw;236hMiXvgd(I0}>{1tz-?@1K(AswaV5gb0($>F2E_j}ZThdg>v-Sl72bd;Z) z-=#hH3ul3%Uq2)G&96A!{KgSQy#J-smn)wCx5qFS14W#;|S#N%)K_qrJii_ zCUu>P^57s2{q@?8A3xJGWEvg{PC&}};((zHQS3L~ANoufjyjz$OZH^NQ;I7g&^I|4M4?dV4b(8@gEhY>JB_ZvbE z9(9f*$yZ{Fuc?b+zI`sB#lak7c7AbQ@70m(JAqo?#C;#kz-LcuO1Ggj0bR`PRT@1o zMWlHALPsGEae;n)k&`YXT~GX;2a%UedE;xCu+WR5;Id~L9 z5c0&c@Xpbxu#>`b4vum!qb~B}6T%F5Zk4|BK`98s8O0+G2cFc2!VD=H-!nOin6SL3 zU#~O8>+RJG;xQmM^o%w_!jNMxrvUy?YC`2+ zJ6=_(G&>B*>xd=^i;XST9JZayyEamfS!y(G!?I9=U=E-YqOrncTSeZhKi(%y1eTd! z;afG(i9{$58ZLMyWp!E08V6;o4V7(VMj(5pV0GmsE}%Ad=Cln7+_kT7+h}#jvay`S z_^g>aC-aGX=v?Ur%SIgo#sb`W=Y>JphGfrLC=&%trE@kmJ|&BNR`15tfxA9`)J9|x z2^@>>tlX^Ic750OM{D-BcieApe)D;svlUCGd>9W;Nv+woV!de_G9Z?=OLkSD^AdY! zu5H`(jiRmWlx@3Gx4OWxvgP%_LZEy$V^adrGXkA66XWg)oh%dtOl7IcYIO_qo={)9 z)Te%2kZ{tYNEjZcC`@=x%l5tGbo3r)yVewKl1qI za5p90ckz;0>U+5_+Lxf?u^a`Y+=u1D(PMRc#9?lj#mFCkMn&~ZV}NmmQx?YAmEoa=g0y4&@ufDF3H0Vah})&ZiC?sX6c z$YdKBg~ec^&>p`4Co9o?%Oe1%(u(96Q_I|7VmidWbgQt#Uc2Vg##o|Ewg6$#qO_Q{Ly$y&fru-X{&tLs~lX zd!Bx;+`K}%7?r>bHnNYUGuCJdK3hhLe;NvJEy1IP_C4oR>BQwZS03v7Wvh%-Y;-Pd2l<3m6vy=9NxT2eZ?r@* zXO*RrfG-o_bKc3ALm6j?MqC0fL{>;_fNe~G zoNRUEb1Vcx_tZH``z1?EnawPwtkw{iynMx;zjW27EqG^AOmrZIL7K9(s!C_4+OV}E z+kh0^>k0V0qGM^ZWE;CxE7h9D2Gy`qGR~&(=|k`5jDRPr((f*XZt5M*&mexeufOP) z=y(_L4%kQ0RX<O1+dCi+ z?!?*A)xDzQ_590?ZZ7?;8Zq2^spdV5;8-;th372r)=Nk7MbNF9Es8&C(~$JxX+MQN z`7-pf4_})6wf=Ye6Xsmc{71jXlQ_J->A~?(fug&|%N3|s-w*+hMd8orkH=p2puM{D z?%Gq_$AaAx^7_($odDQwJ$bGhj5%hsX5`z;JM+aPIx|Xh15& zixVX-y~Zc2lL{9+sF61>I9$S9P3AIk-WE3SZGVVY0Rfxt{TCh}!#A}mM$bMgabVbqXCxLy}J(A80xaD?|Dza~9T^C%p^I4+$GUWiLy z?yKC4REGK?0%ct9^dj;1xdyy5uFSLx;-LNsPJIz3Dg!t9BQEL_j}r^gLfOD7)RjWT zvu5c@wVU$dE6M|gaqvhsdI#zFp}a)(7oA7f`j6bcEZs5K#LYT_H6q}1=<-#9d=Gmf zSMVWKHcD4^LncH3O&Z+2hq@PB?5aN+fQnUU79Fwh1W*St|7BkVys^At*H^X#)Wl!{ zRK&$ZUp{roM&o!s{ZotrX?#{}JQMd#$@xU%s1UtuB}*yKDKRy3rBaE4Rd-`{;qg`5 zSuZOkSzuz`Fh2rDSNs-J0}WX!&T7h>Z|B3jN#=4Aj;R4KzqhzbKrv}Z6-V_#EP*j$ z8on~rjMZ&)EMcoV+qS;5YlYbbJNNKoHqsup%@;Ooq!Ab3oUmF&5MIE0)c3qoJnF20 zLBf2J2((8V8nc=Dc5&A(FI})m^C;JZtaJh(Hu$C-Xrhz5xo zB~U0O_l}j#{Wf}X$oGAT`f1c* zZqauSsqdXTC0^x-qVwPWxO;T0#zL50IB&ySymQY;d7*ykx8XRtJ|vw-_W+v^&KaCB z%wOdhAj#JoxQ;#2XRgzjPs^N5hSPN)UFC`tY=AdU0Fxo~_I_KKNpbA+)gW*Pph@YX zcZt>04gkn0+;k@vXoPnnaO7e1oP2mt!s*_=@)*2}p&a0o$P3y}r0F16=N<)lRTzT# zFL??Ve(=Mp?O_2rhQFo71vZnyPce&U^Hvp}AZ-Qq@c!w{PyoO7gY-D0lY6-i^@z?U zDDS8Y0M-zIaN%7CqK>_euo$15JYe{IG^5wNB;gR?G#^q24D-tY2o=l)kOCPUjCvwY z$Lr^%=#If=1bQHV5Fo_8f~qVgrt)1`DxV3fR60cXXqcL9KLCONRm#RQ8nslZSWyRY zvTx(eM8U@M8Dq0x{b!|G%dW3(+0y#9ZS9t=QfpX4X;lPlw)O0V<#l`h`m${c>@a(q zukCPT;z=7%W-Xu02(+%-fBez^Z9n$EKWM-33s2e;pSWtBy3$v^`6@w6V3Ii${I#1{ z8f?Rnw4wmw!9h!T6_XAz2a35TY)X7|?Hjh@UKc||8_!||b&NejcdVVPTWT(2H9f~J z%T7((`A1)GaZ6ftsba~!jKzm?s#HG17B;}85gDrX>J~@&gmj&=XvjOT(r+r=orXZ; z`jV||ulVZlFqxQ+voG+U^C=8NGKb2os%_SHtTocInYpyR_4Q}%{-nKSR2)szF3RBU z1PczqJwR}m0Kql5C&7KN83^t!32wpNg1fr~clW`4=JMY2t$WY;eg5_8uHIeU)wOHa zmgh-yO~KvimxG)0U8BjZb}ppr@<#+tN78I(liR6y>d6! zz~}Qc5@Gap{iYwyGkJ(|?80xWSQ_|x`xb_jfl;l^5P6FJbUKrG+`o5_#ml*IqdQ*1 zC!oxtEXoHyOWzb;!0zSA(SCP)l;!yNoQKMN2nNTaY|&iYAhojY>g$RNjXa)Bo5h3m zr_{fj7@i9|)`0kZ3%!Hfjo%XER#~bwoa~7Yt!7W!p^9EY=+2QhT7RKeYYC`3&Oxx) z;speU2>zRJi>3~s5ap}0xBB|?Re|qwYn4_)6POzjQE3dtXQW~EwMqkA=X;Kd?rDd3MAkL?Gip89lmf*)_O9Cy<05tA z?)`+RcPYJ&3nfXGy|uh7i^7#btMay_Qu0OK)P;qqq7GLi>O-!JHOOr;f^C@Sho%YA zUf7&SVpliG#IUafy(fyPEjHtkRs;4-g*WcmT#}){C@APto-IJ_E!zjXo3Zuk@WtPR zf@Uj~Vfk)ih+HKaYg^Z%x{2&yOfqMREhX2P3HY$9v(jXN{%@ifr>qt}qbEp_z!a~R zQ@iZEB=SUG(zI^#`HgTn7uMKC%=#z2$1`~#>rBT$r}RSKK9*>~UyPrLSTCW$DFjMvp&JA&|g`a=c_Bp@O zUST=Y`@v>|BX(76MWAnMr^U|KCzamTWj4}jiU`zhXugHl^HjpPZzq{0HM%`D$S$V% zIud;`SmZ|f#8_4CV0qwg$5Pal&(a&#(|Go@UwWL+)J58K59&2I9gk&OUV6+JCrp6f zb5`OuBgf%){roGv6aj8T%ygOy&F^;$B=803gS?Yph@g5SSMq_f%e>V`=Hxvd1vNfC z?oXN)m-CiidE|(1w1ktf8>e_|PkCX~+Y2VJ-t|Xy%9z2TgBJHB*&bIs3R(xRk2IAM zuLra^l(H@&4>i^IX)!L3qmeORx8B*`^SHI$8aMKF&W)T!zCh{+d!b0{!gP;hjDnwL`FO8 zk8YJAsKe94_UV!errvtfbDf1qnp@4K_~BQ5-#0zn9zNW@1AQjfCFOs*uFs{;=mV}+ ztE}=U&r&I@eD?_e8D6Q^@BJv%0pClb|A0vYRU6ecW+0E$Id0q5nN@JVLh_=I{ciIal-4yuPPQb?pXR z{JCcS%tp<}AD#CibD=IaNk@$G<21J*+5?d`7?U@=zzPX*>0SPWj_RI~5~0Sw=$%JP znxv5_>)=)r<;&paoENV?O3#}U&t&oa8t)OOh^yZH#}YT4O9*o#*FmtiYO!mPdF_YL z#D72DFV0+r5RLMo9Qx8GoslfIsutpvR3t&oT0sAVhXP?&Txy@RIlS*XUWGemDZL-! zot%k_H8yGwQpGBd4@=o>&-W-QM^Q`m5Zi2CH9_@-j$b#5g~5fhm<(=yw<0T!!IO?L z5B&P4Eoy0LJRNx1ank|X5hzrE!+xz+Ez2n`Pa=c>Kg;eX-=>sDS#46*J#%$|O(YLa z)J^gZ(_1Su!^d!jIk~M9l8V=si-5E!#)>~;HC2rYMXt3$TSWQ^_(B!l(jjqIEIVPZ zUryZlS8+DfK8X7k+IqXp3^0|=n4VO&t4OzLHx585!I+zBTom{REOE=rFnEmTHK-bH zEcP>U)dK~`15Q9+bLh5Qnnl5#zc&q$40uGElMm-y|2V$0@&xKrg={rjcNg*umcBSX zpX!7a!6ZUl^>*dKGH3<#RPluQ!|HeAHLr`+6bg-}qu*=^$@%Aw^$cIrk^F#$zN!kB z#jLUok6Zr)BO)Ey7%j_t|_cz9(28FimsWq(;Z%XxW zqNa}NIp_nUXx_^fwhz&%BMAaN`2L-d@h8+i6gkz*R8VR&;XbNYq~%IT_J|H zc0GYi%KN^fnVQgt&<4bMtXtycup{GMF*iyHT(dwZdU@zMW&CMEc@zVCGAY5N<&6pn zpX>qBpsXHAU!(kK>e>&;t#Bg)rsgHw_pB`Fizo#>?iN1&ht4@#xar|K+#8<0);>H6 znn00oe?wIApP_d-lUK%F+-(OtFf-=q0ztk) z3#41F)XYcj`_?=^UO*LPCq9FqmcTINdYnN59|yNnHRoAnd#}*K7&W6&DT($K~q-=1hOfAK&OM*ctVt0Ked+W-HAyfrfBBl92seT6-*1vbD7}P9Ya?c(}d0Ycw(G@Lj4xxlsyyK%eb=(uIv=fuXS1*s(XM*WlBQ zmvr!K>k~NDxX#qo!lD;+7z!E!ojAT$+}VQ9sv5)}P+&Q)hq2INa1Y+oE~EH&*pc{a z(E{e;%TYG;`?GuJ`NGo0OJ?V+cTiV6T#6>;TLjYBEa&q$enr=-mH{r~oe+_4@5Xg?a?y37y!e>Ab&(W`W@^3sJq~^(#%@ z-oyXPhZuIO40Vyg8i2)A6v8x94&o zdU$x8o;iYBGe0@^Ku_Mr;cgJRNagdz9TEmNNcA`*f655HV$39dKC+;CPQwuCy1u${ zxi~L-qr|Q|ckYoOpDL3lX#zjsz|5YZ7cfv~i0n}1BG2+UZ#FLG#Mx4i4vm`-Ucba{^*H-Y9#-Jl8uT89 z0p8+V?2jb&@jMr8-}h!uekp?8WP1eks6B4Lp1~WzwEtL4&pMvZPlDTi;i_>VUi6M- zP&N6h|3&4>;&s!iTJTXF`$fr`X44nIK!LVBr0M>k{+gNt6mc-Q<}=yRQ6NmYhp;%o zKHU}#b1uBf6wzgiFmAxjGZ~AtwYIiq>0+~WgZd?33pGm85qZ6~GMU6i9u%#}rp9F` zX5YZVjo%Sc!(UasHgxU}Aiopxb;>BVDSr%uIn1xuGjH;3OD=!hHk;WK`r+7f>obLR zuh?Z~Y1tQz+hsj>-gX^;oWZEFQTI)NH!JGu) zLD4ZWcjrN#o0m|}y!a@Lc`S0i2GoP%YFiHUdV;A_XmNzh&0-4+gbu{RO9H;T!`A5G-a#pOCV ztTv8uy$JL5q8EHq7skZ6mB+Q4UOP>U>~L ztSz>3btLW6L}LB3b5=n#ZO31NtRM$@P(szkQ{{z=|Kor9&cm)p;U9sji1PzSXMqyg zZoWx~e2_6CILM1x%zHOpUW7v8@xTABo6`G`MwOHHNme{7*G}C_A@=X*^aJ4Y@ND~^ zh4+h=Bo|9I*$q@L-Bk5QM@Q>#@S8*%&+Qv4twOY957JamaX8Jrm>VzS8>f|CNk8V` z;)7uo8&4H?_8WKh=UD?Sq2G$ZSE|tP*HV+)vKPT~TR6v$gwnk<_0ENz_^*F9ZqipZ zgKz^uTg0Gl@+b1nOY&DC+Vibu2F~471ZycX>9$y5(GkwfI5X$lqa@_cBT#dPfv6?k*gN-31ZdxE7@pM>&f|!lZG7Yk{n> zPA~YaEqGqABo?5K`jhm{5Ue(1b%K>xp*?_9L16f z`v{u6cobbPV&a?x2)~g({Eg~}TA-qBSM}W{xO)b}EWl+FG9 zxBCqUIVjK%dYyf50~bQ|Ttnshc%y-sL$9(+6M-*g@fEjCjuLKkNcu|diNvo-*jxr| z!NK?VvuKMCvtPlOmuSD~wQ*zrsH+TeP@-AnD+7n5`gh|}7!(?~p$pH5;LQ!Vg06s{ z9XU`suUI>0LPA2kRmb)|h=k&KXKW(uqIrw{@C;d_dkn{x&&t~XhP+s&36qroR(nG6 zRC}_g2`PaIcds`^Z==(s6fD)vjSfd_>~9hW_LrIQZ&Dz@r2ts;Kp(|n2S(VvJK(!X z=#p;6v0VF<2_PBQ7r51fbdQ-RR{$f`j`nA33Go{B*Y3H&ncZOZ{u1zo43i;w*z)|_ zL+Xh9bZ-|bCE@`2It1B-nqYkX(GzyQ(Toxrf~+?)q=$oxo`ek-*wY1mTX@+WyDWK* zCP`^+I*>;o$%ncx5hh!mTpW*2_b}*&Fqgib9^@JC^&uAaH}GBBE)}#Fd`QVHgrS3Z zk!$&D7Jd_s5J9B#xUAzCca@9qjvTz>c;m^$3y+seI_`DExGmkqd!xj-NpZaYRs_@3 zZ(d_u3|PaS{&jR1D|(lPk-oz4hD+74&FcGYhYGd>K85r5=qCwK8-QJkL*vr;4x+}q%=AsjmN8);1O zC#*;|=&{Lb*@P;pf(QYQ*h9{}0Jew*YJb=vMi5LMc1Y#bJmiBY6hmMN4@Go?H#`jW z*9}=gx#`D?$n?l-C*AvNl;^i`Tj}Yw(ydD(0g_}<<1)dUI4=P4A}To4_~a&O z*xRQyNxgu>2c|scj$zSbjeLPg*lbQ)?qcL)>POzAa{-EFk2E_B0Jng4ku7@!L>lpU zn#TK0#*9)pio?|yAE;8cmHJojg zjK9GHyx0f(E;`NPO{DW~1BlS&v?mke!L*w2B0_n9h&)PSsKFNcF7=U`3Gks?)|4y^ zgmvM1G5OjoesDA;&;=NB{gXGvcyMrVHu>^Pd}k5G$#3##Z0Wi6b+Db@9a0$wytnPx zw{7{+x4veO$nuw!b&o3pF#s09+?uRd`240M+^ohuk!oK$%A+d@Ep$_2Ozsm2LAqE= zL|wvBMcH$Ijr329+!NL_i4%n+bahm8O$%5f^I7*+i2~gxGX!T}r$WW%hz?IjeqZ{; z`CHukbl&^4Hhdkg>NhmfpIfVfJyqS`%+b6Up^1S(8F{`}N?!ezMu3p>=kz8 zqFGM{dQmav=gJ_E?z>iTswrZ5c*FGx@hdv%YJUoK3Qw#qhZ~E z-Zgn{ye+xU?%DrfWfWmZ@34w;jXlD`1Tj zP0w95Q)tir*~RT_nQvi3{B`zC-^IT~?V^c)q7ye&=a^+?sn+vJkSWcqdA5xRfA06JS}@qOvIcosV#IFtw9$YMgnM>eXM(W&Mw@&iM{Q=jCVkd-UQj*!n`pKf zRV>{JCxbDFGn&8<6!4V0NDExsbvF)ZDtkjIqI%DE5Q3CUAfv-xAw?b} z<}$Xey_T&G6A%oCUwfc}dVUND_u~qA37uP+0x2%Aba;aHVnQ(|g>;@)S2L~!b%ZHV zLdx@KJi^4HJW~Yol5{0zpJlYxK|ixEsm;Qbm{&j6^XG78#mQ>SglZC>2YnM>jw<;C z)FN364|$HO0EWlu4kAQ_Uxr-2kHx=Uru{hyq{7)A#S`grV)ja{vYW`(HzlmTh3!1G~uT9C@Iw*FrY{{U7oo4nm~qFg4Y-~5_<+r%BgSd=xvJ2 zLkCP*VT`1HPv&m3YdH&qi!$-KeWuh&TW9#L|D1?;TCfwmSHAHq-anl50h9G+9sZC7Y9=6x(r>CR6Bo+$vZe$43Y2Mf{ zud))9R89&&Jw__V07JbhZfnX5z=zGCA^6AO;QBVVh^f@mNi(9-?pwp(aM9D|MppZq zd{gpgls+0$jo8PdVIyTRFGcNTY4Z{86>Fj;WbaMD6v&m}o^l8k$m6;p-In;qD~{9E zy(+PfEbC>yj3OKpUr-9@(#<)*wm zKAJ7^`;DW?ohCmS$8haPr#4Jj_@;{dDsM=y1{45oYs|7PyibLl>e&8lUJ=;)@9M@! zQv>x@QHDOi;Pkri;1EDId_0jlC6TD**oPCSSp_iwW6z#Ml7{y~GH$|WG1Iui1a6<& zLdqp!JXR=08XpBH47-vTx|rG`@q8J}T4|nU{+rlOaUW}ALGb_JETtffpXf%Y2H&hg z*xJD?ouf&F1A`ABp&&5JW*M#}i;s9pX`cMDEoJY})?o&XA~PmxCR!vGFPG%GT@;Ty z7G4QSmCBXBT1evY)mTh~9S-ROI3HIZuJ1k0{(cwz*qMZW-mbn~5b?+56D%5xoOYu~ zz(CRaF%yf*KQnhDbkwq&ls^p1b@tUNU;A{ci>t{R@bG$tCCQ_jb@9i zM_5~1zvLJ;8H51VeyjP89Rv%g$-QQ#x5(DWCw4!FdpYRMqcS~UN-lL411RYo*v$4f zxy&+s#+-MFpY?Oe6eLW3Z+NVN3%_V z;F4#fv{Jo?$?6^Pl!w2poB{1mVt^URE{O^ga2e|tVSnh01-2kEuYXeWA#Ph#jjv(j z1~xY*1t*TkXOkXsB8ov`iFQJ>A#N7jVa2Q79!1QdZ^okeh+}>TNv1bDZ{?fSYG{sR z2MABwVcr93$PeATuR*Jpk~sD*8C*J>vY4b%2AI0Z*FBs7BEyoc z+>-=LL2Up+se(|u7J{t4{2?ZSHmo7pJKEWBj6q3pM|^C`ZGSMg-VkR{>Q(ZcIWmbR zhg|Dn=qAZb5j3wQul%Od^E>Mr3C&Zx-hkhG~N6g=X`GhBio zK!YCiBeWu{A7__1M4oy_vP;NjTWCz?Ag@=AvdsWh{2W2T?Bj%2Y%PRxJvfz&c93^u zikTY8Un=80rg#myw?vaFgiHdfJB$a3u!ne#QAFu={YS94KQ;uJiXi3l@oTS0J*OPf zi;6D8OCT*&a~8NMl8R;a3DgEqk|&!IR(R1Td|`CTiw zVelIvdVpum@=-RE9pNWAtW7)%oE*%_OR-!0F9^*<(-%j*K!XyxCz>3TZjl_$m||6r z!>-mqk*H&$#}G*Z_6R{0CUZ;L6*|0k>n8#^o8r67o%N#5Jf%GW(}5Z?pqdRX-vHWB zDrz|Rw%Di+%{&}{(-y-nLv3t_jIpspx4O9B#=T#5te*Pap-~1l$?f!ZV^jN?y)kDJ z4SWim+Dup6o0pO^3od==eH7I$qu+a|q#V~%uiAY@ly#K$14&1~MHlkx1kt;tsgyox zUkF1B{veUa@HyHL%PylxbS~AA^)BBLt;t1@6AQqf86kum88@BVPBDR}tVnj#>Ph4h?{ZLP# zDNp@CoD&Xd(}w*e>UKmOOr;f(xWNfw+o~yEwfj0LxQQU4OcBQ@Vgx4_GR_^cm=Z|z z#sOHfe-w*)kV>1i)littZG}i_qlnc7k}!EcjXlKm5DbddMX8oCF#DF@^=)(q(PY{K z$R95Zw4v=qj%ehJAS5}%D2{$0?WY3p&dBlC{CFR+O9q$3%-|{2*N+aAV6XlC>Cn?( zW_SM#my-60q&FSYbq0q73n56(9l*Ig-4_;kK-2ZXtH@;a2fe98ll+{3Kk5!j7NQfa z_*8RbWMrkMqty$o=cfDvewGZ!-L)k>LjIPQC71IwsGc%26v;ZNC z5%d>yHLDi-lCJjnqUhMn;0~=MW&p*a;k`=GFG$;~CLA$14 zoG3nXAlRv{e~4n3NJ;6weVBUi+Vaz8wW7tS=`A$Zy z3{MOf?&PLPm`I$MZ)9bNQxslG$3N8@LF|WE;OEdlHzr1R{3GuX<<~fDt3MpZrFK>P znWCQSV3W7l!~Y)}`6kin#tfg1koxccKI%fjiTi{9q{I7oRJQ#04D9J7^TedcwJW&l z<4)K&g@Yi$PlpdxC>O8TSk9PBkfFF}%-9FP-ANqm)0}$@EUf#+=godfS(~I+Uxlwq)p=;wxerjQEdqYj*!{T)mD5w?w|Xt?B}I3 zyqb=~=#F|3)u%wPv9fobe^4Y-Q0zqPLx59OlsG19kABJF<*`_&48b;?^3eR3s_>W@ zbWb$#JXq4mmVMTH%wX@xp-G~k)#y0Jc0lYDRk6X7Rno)dQ`ig$&r44n4d#6jV(A#e zFb8lSXPJfsIn4#6b3K!y^lq@1@{RiKVR_xzzOKvU#(7kOH_No!jr$`x z2++y~jgreu8YOer5KN+@x~SS*37ZzahP4p$`+kJm&Sau`p*oJB%b@ya6C1YAG&Vi0 zy30N!6a0_PQQD|3&qMDK<2CUlZnC$d)I~!_m7uvaknz<@G;iv>K=~0qTcX|7D6T?% z*y-xv_MZ~Uw&3@=8K8oY41U+f&MU5MPI{!r4YcCuPnXF@2J`aY(5pW8*1ltVAoj82 zg2KNCP84ufL;g!}3zmt`70YRZq#I7ew(0H1+Bfz=&M7fGyev9J;U734J&KNv!MZ-_ zjYHMIef7g$;HRAY(-4spcZyuY_bL&+*Q?Ka9DloeFBb!EvToP&vx9}u+6YC9>>!+8 z>I$);E;9m|gFZYNfvHD0&`PM`pvT?o@^IY&%*!~gE>$Pn+gY25V7FNfG$fxC3Zb7W9(f zF;AoPwlpaPy;REnjPT6VaWSQ;(jZ^2Hqlj+zw8Z0Bx2%%Z(lHLX#!s5#tcSThx#H?TWNZXgxyL6NYHjTKcb+wI2o zr!lewp>XksaYeH*<+mRG}npeNV@zz_p@vq|{?sv=lrS}#MqQc+$%k?(uYL9Pc zqKQxICP6cm7aS`Jw0~M6N+tj~Mv*v!Z2TY1!8@wZIKQ3Nj_AA%qGjR5hAXJeTztu7 z%-LC!oo!h`ekqxaQrS-izZ3NN^bsxM3#}hmyi2MUCG`wKJ~~T_jfF}|jqU1j;<=F`=*tK8WG&!%S?0jt2Yc%u|E`uYw!7XwpB1UHR@awm zu`aC)yq4D28d{cJ>G|_&L(lj{R9R3W7Kqx9EmeJImTX4ZZ&8BB71A=2r@07}^mWgC za+Gzn_h+1Xf1}v((FRJlEqrTIRyIA7SytJ7XU8UL%~`%yP5iHF$(d zM(ec(NvjxV(LwL>GiEV*JmRY6b1@s_cHMaNj?lAiy}lG!yRKt!*uvhik%}tx4RX$ScBI<%{Ks^zD3BI?Sn%mp`g1MZPp^*Qt|novRe{>hFM**sx`DJcLXT5G4NC z#w*jd{jtJcrlojX=H6cjs_*(WxaGUB$d~3G?i3ZKX}=ubcpOhL2s3E*`SLx< zkP)$(13DLAE^qA7dJ{;^sErj$XbBj}2&`}@wt`1A?j*XLs9;`&XttL zXJ5?_&#zxn<7ew!?;4vr$0xE3tBX1yf7vMdH1gd-N=+VeyOXrK&}%H}(QT-LO46dmwky_N_OcVNv^$`y=32d!(nX{BfGOtLFE;}*ELCh!y?=X zu{HLiPEF3R{S2+FT1-?0t?Mi-7!}1v@7Wvk9KZPsn+QfO#$M3ocY>l-Yb(sZ?X=ve zw=X3`l`ZdW6Ft8aGFH$(2G=2E5z8xD7ubu4TjLaiGcvOhGGdk@c3)<7=TsX#`tEOn zD+AS^HVc-2SYOp=>iMdj2^7{^Cm*y~X`r2aWNmD1{a%*NS{X<-{`**X&%J%)`-+P5 zAcskN0e^Xmo#G$!2yfM=*DlJ8_Ko#7_iDX>Uw^Ash=C*8-EY0<7^y8BC8o-e?S%?* zKK@rn)hNVLk1fW11nTaW_wiD(YC;t6R0-kWY2;Jy7jHSxH`u>wXC**B0m#4I#rVeq zCkvqLx!4p`5v*q1w&W1zDf$7a9GcaUH|(W3E_-fc%?Mkqk)I-$n7Kx)YwG#-24CRF zsJ}dAsl*N?vU;x3POb*PPtkXF!;>DBDzl6h3rQ6#TuqC%8hpP?pIo&2&5)XjH8+c|#EscAnNIP718<&Iw7fO~r$BGX#?F<1)ksc` zW#?9^d09iD;fH3#+e8(s&cKXGTXysL-d`yWp7-EiOw`!Z97HVe40`$Qx%~T{?&8zb z5UfwHl2>cf6bX3}%YG-tx@!A70jik$iJ=JgUt3f*2&L4&70t7~_jw9*R(-q^Uh8Y( z)pCXBo!tHytJ1=X)sfDk#)xGYy6tt0ki}%DE?WYC;5pr=8Wm>jM@is0+F{&5aW;ci zZif%~Uf#u_AIO}2KK+=lQ~b2^yV>sFZA?Q#J*>hg-H*YytRS%*M@8J2^HI1!@!!X` z+5v&)YaUGzjSU_4wm$;*P6X`s-Z)a6Z%d6@+=jDS9y0undo=HIi?Zuu#b9lIcLP|@ zFC)K2n_H}i`6C*ak}yfr8*7?p-;FBkwewn@th6?=Bh=Bo?Xf{QAU+nFOl3PqHVH&PO)d<5m??k?qF75W!XNtHl6LAh~j6~bsJ?y+ONcnDS zdTjN`GS5&j50svjjv1u$RNi9yJ89i!B{@sI)L%3bp2zGGCM5vk$E@wmy$8<0o02|| zEqOZ!kZ}YX&}dr&BAt+Kf0=dQ5zOoOnENuOj7F&PWhn_x;j4eWan;iC zNPUmIVNOo>Ppn`y+Y(-)l3K3;k2wVb`AgiM2Io0sFp+7e_|J_D|o_J1a5c zrelb#uRJ!=C-lwb?^{#LLk~|J!L%~y7cvDGx zMgOonIo&a_Xc!+vK~CZ%g`Vk@phGjC)9FDwkXbiAd;%P+|ElYxQT1CM1@B$1$xF^# zkm$ACZ`1Fh4#y7?cvqqdn#pQ~M3G|;VTp;kKwn-x6#akr`i@B+osMN(L&i?q9(Zye zbWRiCcH*A4(;iU$(5rItg}2vgC1`yC;CcosgTptDpc}UDyRN6Kq<0!fYUUa7gSQPt z?M)XkspUWm2T(U9=t13QcY0x|WY(r4j`i=DbkkWGCm+#$%*|Z_@GfF^{A#53j71Ey zwj8tZ*OKhz#9z0Zr9YT|ux=Y%WM2v!CoEm~1qB&5eKkzE%TiL_OAVCbVg<~RFI0MM zuraNYQ~I>~&H8jqckBpvjIQ6_ZkRg4N=?ihy-y6zI<5~W%5{Hy*~@3!DL!jyrVaEh z(y2$dq@es9NZdzEQp|j``uP%?^u+1iTI$(2!pDkHaQ^vUuF?=ymWrhh?FVTt;gXK@ z`R9cGQt-VTOZFF1NR-~rH&oO2`7EZ$ZWJMQMshw7H_zAh0ypLXB)Zg3jz3quy~yxN zp^@#bMdDYXFtv-*e>Z&uREbw&Ph;z;QmCu^z11xAJ;jDdg0YHSsPh)xO(qlXz>YqyaUOl8m#ezPUwai6~U*|2k1C;mx*;1wtIlnx(vElZkdmlCZkt=F6= z>Dv3bj*BYlz1zjn4$1LMZRUXwoXrpM*~E`4*(F4d54xHT_WbJyaFXN)q$sy+!t*c# zGE-!GI5RO#Ro13x!pRF0#%XOgd6TR@RTJyX+R1&P>cMmqc z3r%Td|O#h8r_as&g|Y5{uOGhF7{B} zn+rH;%zoefcyt>`y%`qr?i<4K@@H`-wdFN{n7a()nP^BxcKgn&EArVCv%p1>NE{_`Fv}&w0EqFTsHz~(k!3Uhn^P_J(B^FAGI5^H+#jOeKL=7m4 ztQ?P?Pp97v^wLtL5TibqbfFv*Xb0!oC!%%f8g_A7@xr4ps%AP%#9i2jU`=ip_6RF9 zZf_I$TPwc^{8ng@xAw5sfdh^`7SpJ8ve9ieV-TNS?J4o>j_5FLzK&p&7lY5vOD`Je zn|dH(bPB*kY+hsL6fN0>YL}!0P)$ps z-h0mnup{H<c?c=gtPwUyti3W(Oqj*#=SHTlHCobM!O5B$2fnYh60n64$|mp5B) zUGZLyo8j5^>B}L=&?TUerHrDnQNXX@UAu%&fd& z4S^AQ{)X_fD>_VAoM~ z5~rYV1?3Bho)gnMNo}k#uBk?{!cy!SMoH!uiKeTVt}P^KW9NaA?Z_ZKrvpt4Q4D=B z5UZtyv!QAQ?%i>qjf7S#i&_=7DK<$lwbQxr7qsimHF|R?-jDAPdHo_Y5UbJRra40= z?vq1IPBLOb8>EdcjtWz<_~y|L)lkf>g`Qr<^2T=$3LmZLljsi@kT?+Om*MGvvn1;+ ztup-=t$d9gHLP2`2ah~r%AZLM;J-I`r+EV)W2N>MElsW#ODR>T-_Wbgjx^4bj$LKm zitoghh$j2JeY?6%3J%-YwI}BYHdhbE6)q9v0N%>e5H568$_$hT6a9WB7pIZ~E=k0X z6uYdHBIshPYxfg zA)O${K+|S1aAw4ri62XJ$aPo*5I@>BwlrJlBC1sycK#7-#S2krrwTCxQOT6$1Bq3Z$N!Xfdiqro$RSaI7o zQZ@!3ONEnH?{@Y_I?{TB_*z^AZMr>lFXnUZhQKVPU&)@4##IGuM=bj9M1+8Eh33gQ zUsR%2=we08O`a>O>O7A=fjgsQ_9Al|+yR~sVZM7v#>D&9cFrIbQ_=kU6OXeIqUSkA zF)ONwqEZ~gJ!apMrf(kzTA0}q9D1IwN!~;m}WUD6W-1Mq*7cPxUrD0_$OmSGd zbOHmSmIg-0c|++Ph_{To!mbJk`$gNMw%7M&$jgd_ni=|kx+>*pUc=oy8$eWZVNTae zs}<Xtuz1QGMOKa68fp1P8n~yTh!7RH(c>j2Hb~km&lP;IzhgW#!jkPLQe9^=u}Hr0fc$)1^~CZ#;P`g*@4jQ9~*PVzNj$Jir#G=+hV)onJP~5;Ynce zGvLir!7xQDn%)n<71P9u6}TK5&KaZ*HYrI*IEt6E8ce9IJX+92l8Thwbt8#U9paK| zg!}MIu2(ebAGtt^FY5bP->=B>__6Ik#7!UQ3&P!i062Kf6Dr9Xr5b^RFtigZ_Ooq` zz>%+DGIIO%Yhl3)Dj|B>eCgJSCLNFAfYtlG!4K|~)seR+$@X#8vwGE5%*c zQmDvyt0c-=i#8dtmAxazi-1;TIimi<3vDKuZPE*NI909Nr+s4fwd#gFtEPX2DyI^U zs>RZ(D&zV}@RjAQm>l(5*82^)3Y*`Ku_KnvHck|+7NkXzn7$@aOrk~BY9jkN&>AIr zb6Q?wD|ltoF_|VAhNTM*X3$ZGk!+=_tyom>6eunwY_D0C*yYQjam*+e6{xM~SUpHP zBfR?xpT#65^6DRXXFTc^<01iMRTv~Hnh8KrV6FT+SlBh#?}Pb|s(9nHY?2M_!OqSe zjm=?suaIbEk@+i6b|deB%2$rex}Vr3Y6eTjnq(;azcO#Wvy5f3CewG3vF}xF!MXZb z$mW!qe+T#zW-$@D1M6+E_L>WzTACd{Mm!B3ufD49A7XsJJvbUBP0x()A@FZ|c#(Zx z-N{buuC_u;<|_nomp&<24YI?kunCm&6{{^FGP>P*qkyYidfIOUo=8N*ZH?+1h}0Y!(*Re9K`fF` zxNN~TgCU%Loa_N4#b3{8VR}XeHTEL29I3PGO{Md{N4Y`_wp6o0IY8gPxV<_#aq*e` z!APUqGz3jfFwny;BVR?^;C7IZ zMJN?rFAZY>h>s!&XDJbr`V3|@XN?8MhOMDCay+)G2jMbfShM8YCBLKSA1dg)8Wk9_m_{>>N;EOeT z@&xJ>(oU#Yo}8LO1Cq@TdAZM@aRfhmlN@mmXD1d-=u5gRV#yqJ1X(Vw8ykHeI6J!l zhPFSSSk;R{{JBD-3=3oLopdFVrqwh89H(k>vvuqdx}YyeWrNEe7C!UcSyha977Rh6 z2|_N+q!XlV<;nu@@67Iv=825QBS!kQ2t;Dxx}u)uZXU`Z)6AsVyz8FMiiO&f!+6Ps z-8LeHjAYt{+Ls!2cko$N0=-E|wf_9bdG(Dnu*6Dxf;87E@~>bpyA z7S)drJ5+TQ6>$7!U55fprI5&;!dyXIYRNUdU27l<(TqoV95& zdz|tRlb|8=i|Dn;Wab06YkVlWT+bhSxYC_Nf|~gk8p|1~1tWfI$_fPCe69lgRkQg* z&p^+x>c`{r!NS>yah`;200^*}q7O;8l@)f(jykg4|jwLA;(pWe#YbQ?6 zyMdUIfkdG;iW{EBcxF<(98-Uku-%bRL^$rUFl0^fc5EywBT&jHrhbSgq@;YWNyu%h z4COtQMe%oZpSa-hJaeVSW!;O{G5DCke)akl_h_e+ic9T|XPTj%gba?6(eT}FWDG;O zsu3F+J+SOV!QS=mZ}PgmTlCQUq1o0wAKD@SbrfGPNW8hN9#;rgoYr&`h^=DB5svsgnm5 z?mpOj|NDN6tm3U>cC*7;+G2Q&RdL`LwL?7$-~tsi}Y0l-|K`+%_vM zUl@$j2;+qM2}X>$al|5)7oKMdM@5*TX;ob#&mzDXsH^8Cf#@|aA97++;CE8*GfmA~ z*!8zsRh@{@(C|BIX<-KzNKH=8+Uc|BWlWtGZ;G$P)13~B7)x$Iz41+Nwl}=-4L-C_ z9U*)8j(MoJgU}y!k9KAxj(Mh^`qZcGbDw`g`bIi8J8GLMH%7&-T^j!FB6v`J|wv+u!;A#;lt=m zTVZ4w5E~Y67t1@U(~9~eBbmY)(v9@*QT3yQ^8UcWLpGkDwDDI1Y<}ufzhFyCR~?8r zcodSxBNSC6TP6S^S?ve2Zf$S-vAwh72d?8Co)=3(&1EZz0dZ9`xtrnf{CGiNN`gg& zX4sOIzbMI=nD9Uav=}QUlfl)iPR@LWiY#6x)-r_DkZ^6HOjKET<6xfIxmj5sW3EVp zmD*KWtnyB}(B+`vn3qsd#rnKOl{GDadH;j=TVZNeokT)S4W3d%6Azxxn)2>Ib9>Vp zjQOWN#409@KnBVY3oZ=51_8$X2=MVNSifu&qeS&CogwKNUA$xbpe2Kv#O4)j<4`_F(*QwX%IoVb?qCz=G*N2nY#xzYmK74aP70=pQHp8 z9kMrkyQgDc6|8>@5)8>|+gZI~YirB4t9;j`NLT>XQNG7y0WMCR^YB&ak&enH{inJK zikkXzud&zH%|~e404_;4s$+h6k6$X7_GPXi9T(*e?@-4y1iXk~1jO>L3rdw^RPV<} z!h9Nr&x7y?^X`TO@H-OBZS@m?S;Z|?hG80tLsq_cI^>zTdrkNF4Jl6A*YnO_&vOI# zzz@U&Sh!>>rOIuPd zBf3^w2v(NMHQUtt+gs~aEpJ;)f^{q_;357+nDI_ga%EjgqD-BrKK49+Y!@8 zVUFbrE@+DthN9H}stiZ%Iml$*S3*2Fr2GS_@m1~N8SONM;hM%@W4P^xMOt9nXD`{stE*OT1*1mX1)He7 zkSX-vU`!(0QsRT@$%5)A<^5KH++aY~p#-Tz!lF<}8<_+TlqCC>)t(ogf8M_E*v#LLX-s;S>co>TZn?WB4KB+Sjt`GIi{@4@Hj4EhGo zF$7yuraPq_H;MouOmTo8tI{jTA3!5>%*F&D0jvOs?c$DltBfI~!`yU6n>a@frUY8{ zmA4)7*4FNZ_aXXNnh_r<*dZO$^D}n-k<&Il%Pu6l>f51@IM7rZ;N%c%d0Q|gD~$3) zKr=depwbuc$beVTxi_SCjAR7Afe264^uK=_2jSIN4=jA6;<~$Flf^$Q#9@a4ypAau zf@BFWx3Ru%*RNf-=fx{mu3WJd@eS=iJvHfdt!8vSjK$RBRgcIo>WJ0gEc!uTqVsX^ zuzDNMHT@M_4oIpBL#!+<`H(R{uEbnj^@(mmd^DQ!QBL|khKBR7_zo}#uTo*xls7;Z ze9bTX=|(zW&HEb*$C8d=R+aanunPQ%A>}LWbzsC34*trB?8Pw(i!=3opE2&-WjfFWcp7*TO{qjSXAh*|jYxqTQMr zp(#Kpi@Yu++)@Q}m_Mh=8dl-E5){>X+lRkvyIWRdn-(?9v@$=xu;_}nCGfaY-S++I z@X)Y@%d)I1ELU8>bjbOId3)nq-e_kZI%g(9TTy$~1-+}?J*&0r0)snJbh6Y0j%w9i zfy$D^2c9Z1tvVDF>Je%g{W4z@1=;CH#UcE}EWy<+MIZoI5zwrvVRw~&iItBumVlT8 zP1O;~IszV$TS>adRdkQ%^j5K0d56?H426fZd->{}Gx-?7%)%(*2)s}X<4cZ66nk|#oZn}bCmIJ5?14WM}~xWD<&(9I-+b$%}^n1L}lqz z)iKwXZF5_IN4(Vmcmdi{Sy|YVHZ#6x@u7sZ)TSz_3o^izx1EZEm)AjKj}Ur6u>^og zokm9#E-0UHP%i)s6svm`6)x)J{#$bGIB|ed? zBADtMK6Ad-|82>nCZJNcnDUTLj98MgVQ{PM8Iq@N;Ug3?>B0}r$9fk&sZ=GW1p<(( zWwmLev2T|zU$YAro^yu*qb3WdPTA>m_u0hMw9*ap$1!>t9>haQ22iNw5?+#~zr!#& zBUP;4Mou!#h+RBb-CUTM@aaG!YFBAR-@1yjupo?sx$pE1=8&^E2;RZNIXN{Uc|B^C zeaZB;WVzb6bBleM?8ul#5PI~Jn*1B^x#7}9`x};Cbm`=0^q@2-u}hAoI}^Zj|X@<^Iq7%+J`5{lrh&wWSrykBwVy zdfX0@Bf&V9zNe4EOgMiWLBMyC!>pl@RF|=~@1t()D${HTkQ2A+ijf9}(DRa+nRMRU zj}cHjlPP57D7?(*7gI+hF;xz95VD*$K*urUA4W$R>;u>f!0M2g5m0SeUTvBX&OpWo z-171iTI3F>tj5|^!75}%N@XA5C~!6;QATn!1Ng-U0L|TU$gfJs9DJm%s0l0=L zhXZ$br75dgmBh9}toLn+d8?a6s~4+21Wu!|BHhGjTT45(d2PqGH%mUu!V2j{F~B4D z-DmeLF52n&d7GV@@nL2_539WrQi4?>^EClrysbMDdfT$3H+DB|eOvdcimN8@C?Jc_ z#1hZ5$VS48#YRm0RkJul)9}nIX$r7%R0LY^s04*A!Qc%op#&rFtK$eC*|FeQ7)#`AMeItDhXcaJcU)P zN*_zyFFX$%l!>wdLY=YU88IHy8wd+b@O@#7VItuf7RBtF98kF>Ub>eNQa{w9jOgPf#If|ZxYskHnI#6aPRKjq0 z`{*}nn}}Cv7oK7D(|qs|f)(%p50IBAPi+B6<^xq2hGdbJw?hE53^Bt~#LMbk&x`WK zweKHD+TsJ!Ab$v*jP9oqKn@m%B>08heZqsdWBJ5;2FRyOuEl*5Xw6| z#554LvZ*j}UdG;tgw?1NcqlW9f8VwnRoiS;tt27Xl7a^`VuU5t2PX?To0AgrmBjl^ zt2aw}$~>?U^>c<~1$HwD-zKD`dX?(-VfQZktxE3=%kCJ#)1tglZvbz$V;WE7ydLf* zQQrY%Dzi@TMc@qp4MTe@VB6lzvhbw*Vnc9a1IAwtf<}x!1^x(q}+1Gr{JEdUH%TTFH0bj6{Yu5!D z_I#1Yi8E(xdTvpbss5$(Sy9eZCcHK5?9ps8dNS-DqHzIAc$T?$8=I?kef_$vmN#r~ zXy3g^7!WA2e70bdW7FcHq)!LHqgj>gXA}iKC;v>lqR3-~ylPZIsrm zSl<#4)m0bbIpvG#PB;ya;Yp@wOcdM^@z5L2SZWNTeMfz|ro0LeIUq!-204L;-&dm( z6Fj84ciB#fl?UpX{@xX{QN7+W&ikPc=}ZT~0gD*$^gj;3YdE^%aR;9qhX9oM{v0>o zyBCD^=`$C%yUPoNn&hw{sXwPrv{ph)EPEN}@4Hx+f?NTw1Ic2Z?LI)RrsoOwJb*_I(@A6aq*esq88SNO#K{87h` z4K}+F2$+#5;z}IR=?1E|6*2-y1eWgZ1AtEn+%1bSj`_`emMW||*9}#gF%H_E>mQCA z!xM3Bat^||8pDIvquMhX>rc1h(fbc$cXbDa39)ShJa>($p+OLU3hwv-rfr`_#SEE% ztVIav*M94_;v4V01&BqM3J$5uA$8f<-HRoJ*8&#uhfkMdadj&;xA$TL0hUwe`&+TL zvl927eiUy#`7j=?FX!Ty(ecp?D(`qEB|ulC?QWZAYa=!RtxgBzf(}4*5lX(6;vjX3 zKSBpNpca+91C$`uj^)Vn@>zv&GQ|Q$u}Z<;_$3vkg3VK9CM~V0@yX~p>5icmmVK`T zVEmseD$gO%;{EC!A=jLAcpxj+xg=p-s;2MX3sA1m3QEG~J2xp6%cs z_U(u%w*(yuRQNLm@##ezAB9V)2S9RdF}7D1K}LDQjK`WNAQkOz}O2a%QQMY4-q)c>2%rV=2|M5^g08C4o+RrcNR?y>>C*EFTMDD z+`4%+V;?ojzw));jo)kc3#Bc=xv1z2k}Vrph8 z?%cT@H*VZWM}cXLoB>+JxZh-q_s)^Y(1ojwmlmIud4hNAIHtwxjptEQSCUDo;2tc29R={a`sBEq??!e*_P-p_?YpACBh0VCY4?_RQ6| z`s_Hm%Y~im^r>;u@EuC`=*a#M)CtT>p%;r%g+vYQ;E~yn0tP)x=V!gpzvEGi$pjH8 zmmN&`TLrEh#R%k<4q@`?_myH)<~g1BS(FiC86QR*_{p0I^80=mMqb$*GS$qsmL24ml>& z%05)qxq|)iNp-gZlWb22b^!w&CUdoF-Q;WY!q2RkkQU1i7ZnGlo+fk=TGL7=lnX zj^KO@{;s2Bij?&X{f|6;?3m48{?&gF_aA(io(iYd%t=`@2P8e)kx*fpg0w{xdlK)A+!P0)FwOI0a599yhjqUiXjCC16Bq_ zRnNKn<{);IheVYE2*IP;Nl(zxc{Hj6QLmWatPTTK!!!>nQWaH$_tO(IF*!7mg4dWT zJvVz;l3Tk5y`QB8mR>msT_7S5%4vSd+KSE&S`sl zbuB)6=e<~7TxE=nYbkM^lM~Z1KX)?&soOgMpT(8fW6bvG5CIm$lH+gtO7E2a9M9}S zXt)C~JFk{hOrGkPOB}xUW)}WAhVGu_bhd(|GhHrd%yWIO)yijuXvW-i_W`_ya;%*S zDpT$}lXD$kJ>hz*v`TXd5PEQW&*vF0dCoJt_|Beje9Hl#lMr4yIV9HfJYQSdMT)v9$24Is~YxVuzM2= zz7;J)AS`^>&v%2|zlHJ<$QbA8BE%|v*XZtzF$C~@KSnNw#pK9DTzTQe(hZk%eD%#= zK^eI)NRKz;Bbhi&io)cZ3`SfL|E1NkxJn-YXJQmR!767{tMb z*(-XIZ_QZY?ka{jc&_nR7HO@Q{ypwCvVUT9F76h zD=W%ucZD%5#Kk_+vkTS^(>rgYhD_fCaBybl!NZRL4C`PL`vUn0y&%=lf-c@WN+qpF zRHf()Pz~B?QQvE~uExxD^Ca(KtZX6wq+LM(d?ig`E$PLCF)8vYk4|C8x3o>4OyN&; zfL{9|DW%C0LgVj6)~69bNuJE2{O5*rkmL71R{p5ppPT)N=n-?ucpYQHRqV=`;#gt4&>tGD{m3uV54m91p4VHM zE7Spd8oWzSOAM&G(Y&w&qZ9GcPkb>ZXXnvxz3G|UbF2+t*$2(*9y_kS;bl4<0>?C#z3l z=FWVaRg72O$+aWu5U=i|eU86;pb?drg8QqJ#YwqaA^hQI<$$uTjtrh0osD5<>Hzi5 z_Ubspc8@N@io^)?p)vjPn|-Bhl^@I#Zkn?V`XSeSa8uV|xSBrmgJUpOj@vQWn2otP zbUQpT3J$5GlYZFoCyv>i!UDa?;NKjxOvbJ8skkvZ9@mFQV;&-!qERC#!G4&t&OrAu zpaEz+rt7f)vSY0YtgJsi0v$L6AqErG9p})CsMq5e`l!GS0 zB>+jHDMyNBbwBr$;Qh&ac!sfsGIjn({kuE>J(iWL2KYlQ7tA7|4!02MfF`$~ za_Y#76~S(eH

=a-H?GPHAab0M_YkvmKnPQ00Hl>rgD7ruUPcM{50!aFu+vRi8a)y=)2-jFBed}*3 z9|f4j&tByDdS0ErsiV|=Euj?vIcb!0t*=MtS`RH^J&0Y#Ajd z+7STzU>oay1I4u0jwVuKy2&$I+ozX(D1Q>X$ZHqlmy*FTRFN|ldpji_cAy{Q zd}sjRTuCsg;Fks+ddCK=io9~HoI>Y*(3##8Wr^Nzy}r_%(_uUCs$On+*ckI8c=*IH zgK94_6(w`lj)kq|cz^j(JlI-^6%2(<42DOm%kh&1dh# zm21~C6;4TW#8^#^V+b|kjOQIB2;m;aw*xefQCw7nI_$*8-db!PP@lt+p35u|DPNHx zd;ESX2zC~WHmT_JcALs;VP!EkcFlUx8v~};!dO(X%45>F$*c{tIO{se%{`uZ?nX>s z8;r9a6zB0KG>KwOmxKJEg4O7g2IO00W*3FeD)S;j94GlyJzyvdw9K~xAw5XxETI3( zIQpAFAXN}@y}XvsfGq?{7T^CsIqCfNgN5JzRE}(p&;F#?wrn58a0f$n1f6ci;=5r~nyAfBf-b#I? zr_eN9nd_Q?IRyln!&OI;U(t-8#X)bnlrb*BxO_-IzjR>5X z*@F%ZtDA!UuV1~I-)ks)2waQ&b{sM4=p%Pt`t{%Vjl>OlKsVOcax2S)#V0X&Z5ljN z%ZxkeQB+D1$yw!-Twv!IK$t1prA2oh>`!C6nG30Vs~B?dq+4D<*ylI-Qm_7*bilnm61RZ1s?c;*1BmMc;i=<(#8K|> zV;p@}3W0G>haHKGH#cH;V?C3t8oRK*x)Q4^fXU^>49HyqSQ_t{IdbpTJeUJ!N;AunK+eDLAjSa>SvUFY2W=yuz^ z?&1y69iDM`iWlmryV-38WiIp5={@y(S<%<@bR~oGk@t44%E7_(NUx{&0st^X<-Wc{ zBDup!@freH0d9RLMLiUU2xC`ACdlLp?=QhgRDuqZ!3yZK$o$Q`a^5|?Sv)6quMsFh z@Dhq`(BtJcRX!^h&qyrX+Zu7>e2$<-!RkE|yh)J!xyoNf)#e_jy?j2{&7EajoTQPk zgK#*bzO&iNKDZxm|Kab( zNAG+$1zvBf7AGi@j~D)2jHyTIHOJ8Y6(srqyRBHxos#{Q3bZhBXMvGMh@lM%Kd-cJ zJ*V8oM>!7kE8hz!JMDSLo>J zggEoOjK85?c`dw=;8i-1cDbjYJA#M{F*45L(UXPrWC=8HUA+=7-gz#;UXRALh*eX@77tM`qg#PV*^PeYi6E$UoHU=38lUB3jHu4c8E(#UNPhX+S8{>kZ8!yFnI zRj7>UJEh(jVdn=J23rTQ<#v@%7GwD_KxAQsv0kIV^BNX_%#)oq#$+VGyfJn)CNt+} zZ}LRPD7nm|0F+OGO-Db+#5}Mlf(^jfDnJY+;v%=9;THYjB0!V|yk%^xMUR{S(>Tq# zg>w}+@}WkuQ+>(^jTKYJICZFEkam);8EfT~Q)bJ6%ZIB^;_>EkY##5#{>cHxI*JTA zxy$eO0SSNby|2f+@4thAxt)t7h9)LsW_~VH9E}VOWo*6RSP*Q&c)cwdZ+@gqIEz+4 zZE({KfZ)Ly@|)`Rp#)nP{l=F|gPYqMvAMgBGCig3C0DI6q3+{s8kxz->D+xL7bi9Q zqrci8)vh{JQOyL?Dtr^Wn{V^lGxISvQ;W0i%?ppFAsEK%X}qI9si^UjDqmmCz#svq zVNJg{HUiCDagIzjdGPs}fWHGY3)u9$EbiB+tNx4xp!$tADQa+v1N|xha zzW!+)$@d%|w=at_r_@^stKn*$^F7~7cV5*#be82HL8$umL%`d+@86Ag@4grBy#1Yc z_pNUO*0wTT(d_ITeBRIV-~o72I&dZ@l>WDa_ z;x0;~E{NhjW8+hNcDvYPz^(hduO}@`PU$`D=iX&etTNr%K>N!+)X;nM@L~M+SAHiR zJbFyOz)$zxhWB1(vl*Ejjn}{M6N>kAupIzY1@iW*eC7g4jj^1)(nzEjTIT{#cV|v5Ks1?|>;urUx#^#vHMXLko4aq*Ax-jK&b_-re^r+P-Mr)_q)+uYZfX+6}P#j8n& z+%st%ncjo$Z@Qb@q2q-drtiJSk2<89AL|g*xb4{5#p=aXK;()m&nX*#$?Y9MVLM~H zRB{=-?u9l~ivuv(9PEz)gi{M5Xu7Hm0c74bJuEhGNnnbw+Ts0i1(ZHL64#!)mZ??T zdQ3r}k}&7o9?#NUeS~uDs&{ceEZ%`WgcCrl>dreCfv#yS72&MFU89rNUF36yRSnvA zWXX0tE)$G+2hV!ss6hvQ!ou74c2b-{EgsCnym>4o%u z46H_gD*{z)9dEHGrnif8Q_!U_hh+qt08_UEG$zsbXMw69IKxUf7>&|q?&VGy=ZtL| zCGR2!jX2Z)I4zP}o^e|P&-H8xG`&Zs&OSQ@7JoVA#BVOB(kO9U!I7~8@0)g})~LkI z8&~7imtTz8=~-x?iX~5bY%=!}X!@EtO;NCV`ps=90Pd~Q#y$xcnv&U^sStP^!^7}t z8wKU=8)>XQU5EvQ^P>+xj0f-Cjr;Gs8!HIu{iW471dJU3GPfSB#NvC8eR|p%@+*0B|8sp{F_qhzZ%HMdQ^B zFEG1?e7^6L81h=V<(|}T6KL#L$BQjZ=r!C$erUim;yGT*2}!XRIb>k&()v=o2~c=~ z(mw*Ynr_Iwqn&~`K2wG3^r*X^NnJj#k%@Tb`ZMv|?K?3uHG_O~kr&Ue^~Xs6L`;p&$Cc?DF+Y7Zu3ftx zx1PTq%`p_~=`yrmrp^VKP%^;6cwj-Je5$O24v}SD=mG!aZR;s-XmmSB@_;fR>D%uG zp$SB}kE7@B6c-ICF8%CpjXJ|9Ags{Q5unmH72v{YUYgZ+$(p!HkTK#S1UJ8bAFre>Q&N3qKiy!(%1n zgh#td+chL9>!6iRO2G7T)&zyh+2XM4lMtYFJ*k5jE7z{f$2AP;2|%V>W(!1J{XT!? zIy62IuG7%7d3<;P-f^qPefX}7t#qz_5j5L+y|kuCeEXfZ;~sKM9yE2-($Z7-`yj8I zyKyDDYo^ybhBwLzbh>WroIDcxrngffVGJ42GQWAu;rO=ArH0f9vY1FyTM!L=F~ z%6s|bk3N3vn9YCu%fEn?@_}>#bHZqJmMgz22!%?W!9@7gn)S3swJsaHcJgSMc|PL; z07)ubb9l7`pRGEbb(FtllJ=?Tn7Q?A%-*~nW3wYMb9E?Y=LWbR9Rd_MJ_R7sxlWHe zU4FC&vOj>x4xD;qpg`{~AgGvNoM)+6Qz0AB>Ov(t#_tqZTB-+b@y5Ln50rE2(G_D; z!*TWYRfJ##!6)iJ#}e2tI|ij|-2ih5wsf>HSosW?OrexQh$549rbay!V(FdGv7qou zyx#-i9?_u=JUoYzIojp^{N%1lE_~1%VcG$i#aCn6-2K2+ocjl+3fZK8jDc%owHN?T zTe+DFwPaXb{JDM zwWpHP4Jrk5mG!E$My6sFA#x?kd$-NXLf>VR;RjB5Ubk`s^Bp5}Yn#f#_l>k+mI{^Ua z^dpw4_uU5wD4?8Xkx!f^k}n)HfrPxO5;qXsaTQc#J$a_px40^C1Ve9>_dVymad6rl zPu&N3Z8bMkc=d%BW0G-I;R-aN+&Hfbys@e;;&xZI*RqY~*mSyj_i#Io&!xxm4ExKv zpPvcHU5V_1fWw?Ma8F(hTUXTYZDJ@;dg=3FEp`nXK;rJ^erzml#Qw%k^d6r@tqZ=O z-SW0EfO^_y#%JQz?2VWh97jOX&wxy4H{2T0=hXm5H(t5in9Z-h{ZFW)U`0S8&qFr= zaiim@tN0Oi!Xfcjrh_RKOaB+rO(Bef9mt` zCCV4R^hSK{jh~2@UwJ8RKl^N4zi~b0=H}9Cq>^&Mk+VtC!oesA7l(?hv2gQ?8) zs&r^K4Q3Qg8m-i^zaJUhG!G&`0wsn03&0!7yuQkEX9HBIj-~XVcge*EDnk|VI>v+3 zk$a4#_f{sE8(D=vGcgnW%~qbbu(}Xi$LpCvz&N$R=3s_N4D=fZCrB=_yPdc?WmAGe zcvUbl3^UU*Y)AvQd`kG^%uRpAK&JPr>yEFe6xsNkj zmvj~0-5ENm3Rv9GKcHT^f>sy zT-WAy+)2-MdiexY+-qTZIi5Uu8jl}8h`V>+i^oqMG5+qsUdeo|I z@+}=vJj(`Hzg##7t&~@QCwfY~XT2FJ#uq)yc{*nfFTkAO|N1k}#q{hv?K+OtW%P-8 zf&sivLywIEdXa~EKYft8(>}4`#=*PL@Atm?)m&I54`$!+JPoXuKl@s|_=Q(v{Q%?n z5PY${NqwDtEUCUc#|5fx>S4Xp$-qC`rX$HP14ban$Fz7u@X{2xV61;UhMOZ8gQL+u zJr@o7$BYYy?X6f|TS*)vCJ>01(5_1Ild+n{RTd$JR-$fRy#`2I%bH?rP{Yrr3<5}+V@gXl z14|JGrs5H}W&TAz3#5z(I26q2B}CcsHAH~&b=E@bjs}XP+lMBEUkJ18JJo%HauYbh z%J~d;dw^Bxa)1wnY$-y`)#CyTgKSYm0MJ^!)Qz4?@UgXdfO0dRQ~?zVqEm#^%+<-b za%(=PEWMYOl2*y)wktZfVIDfKx9pWI;FOsx9VV1`J^bujONTv?L0RwgbRy*hI|@EU zmM;3EeV7A*+i2C&J9kPO-2TlKpH=!d^BTg8W255;>cQCBSxthGD4e>~Ly%j~agGF} zOFqFyS~dt*D&wnCG3)1_;MllO`aM0AFllEx$^C%MWhh`ukk7TY+gPy{d~>vW6x}F? zU5MAzBO)rh!JTAYy7LQ8uEk?n1XUU5B8a7z0y0bgx~RqW>Rbop)-u<45Q!RkN}y6a1^vgJz9eR!!@&O8x*ta)+H z8fbM}=j5wn3WiLDanW!wF0-H4GYmwxyj)&fi3471bae}3$Cy$3M!Gj9>gvqZm>HV^ z{PyQATyFWA@!NFvneBq^E1dhxYcJXKOFO>t?th4%ixWcHHE(&izJ{<2jyNT#6W;4fE0YDmy)q^$FKBMrmWO!$?vpY z`d1%_A!MVDyeJNb3)#wRDZc-t_*+MAd|&bJ;{CI8{{qjuT(J4`fB)~tlgE!QKBcHB zubtu-S87Lq#JBvF3P0qMuPAg~ijA?YM(>-WVkS5m9 zz|UC#>fubD)k@DK^;CZDLeI)^^R|voOvd$FcM|OFY^}%U+EN^7Tp`=UHrKCTk6Sly zCOA}|biiWb24va&`ya*IZ@-h_cXpO?N4l$F#C_(=pNo;XvCOL}ElbzA{igk?&Vdd) zeIRYpf#?WRmTAoGCBJE;Iu5RTF>ZZqU^qqqn*F`?jIVAWH@lFF$MDJS?nbP*njesA z9TRM(7riHEiPsqqfu;+fbwY@L#BAz~^OJV;b^$hde*bwbh6m;oY|`i$o1Fb;4>rI4 zhyOG-)|ZPb8lljM4OIO)hyq9fiBnVpN%uE4_Q=>wr`LB;`X(UV+lNT#)UxvYFk>wG zDk$F`JsaEc@X=DNZ!n;#$@=2tpeuGZv7k2rhWmVX!eAf_x&)dP1{QN$3&<7N7Ty9% zwJZRYltY0hby3LZL3JfP;|pQ=J=dUs1dDnxYXg08=jB^5F*TmVqaYTzN-ToSOeMqj z#&;YY3M7){l0YmS#qHsMcE0m3Wt-o_NXEV?Y%*pN#jh|rHKq{7+iaRAt{#V*0NmxR zoTh57(uq+J3To7(Es0%JW<#lmW#&SY`6kv#%mZrphxf z;W%vX#LA<$;$(e0wwBgnZyVqZeH~yZq);*|ImjqI6EYfQ2;kJ)SC3smbbmGX;4TXm z9M20uNqdcja~%DgN{3FjPZYW7-IV_ABRieLZt&bRLg-`r#Ow`zub@bJbE*tx_k9Q4 zCkWx5X>n5YZaN*^-x@?YH&aM@->etURJge{>&E&+q%l$E zEEUu(U2Ik9BCPd|t$6SLy?D6zlyPv?q*J73SwN{!hi!zr-c0lI8A@WhrLKe1Xks;w z54dn>lIQkwuCZAFn3eU|XKbt7e-NH%$`^o5S4q!I&BYvLY+yWU-2hqYD9}_c*$<3j z#vUs#`rxVOUVAy)e_6-3?*2xCO_T8}J4IloiyEqo#AtOi>RlD&!!dNb7pD5rgJSHt zD{%MrRL)y`UzCl!?KsM79gnWL0^PO8mE&U*6EQP06IZWZO#piR+O=>SO82tP#a5Hk zF~XR-BiJdlBEU?=jEp;HT#R@yKWR5bz-P7tcZ4%OZhDMshelF%A3=Y9XPl;s58M^V z-JO;?3d9Zjt z7S^7`=E1i3FB!}v@y3pi%?`)-Tr18ho3VGa44v%JwR$p@x$v1nmse$=dUkm%6}H<5V_E+2HTUMxS9d%m043c)ck8`AW}R ze3I)+K^W(~)DO?j{sroFxnT46fA@Fb$*tnmV!Z6D0-X8L?z%XvV;bx=Kn*l!u2yAg zM@KkQ<2Wl5JD)!Wpu7q|P2fKaP`hzu9%IJ5((R<*1{8$I|Xgd;ACb9XNu@!$5VrKaM0E5 zTyLE4l-oUy@_QHj(WdODCto0GJzOAk4dc&n7ir6scpCTC$+aSG_4(l8gKSU6+$Vpw z;@Ow)#Fgi-VerB0=vaA6{!xcyOh5N>{LMmRe^@WSQ!nQ%7WL3sp#0Z)Wm|?Y%!aG2 z7zvE;wtd350KUZqyF2ir8=7owWM9~?(zauvyxyQq%NUaD@bNDFlny1HDdx~n3vh-s4qJ>H935 z@AI<&vy_bKbl@q*^Oz&5t4o(S3Xx80ADv^t8XtzWjL?+`bk)-K6s~%TTq^8zbH)=^ z=m&(#F`thQD2EP+wbip)OOGHoVemQMX>_br!w>TOV*r@Sx7T1?n2OidU_D;@i5FsU zWQb>~q|Av3*uyBI!{|4K0ngGh6pfin{j{w6sPeH^4yttDbzP*JEpSGgq0Ll4+RdxiCf^9~c^o*_kUbH$4{v zbzrj7n$%UkmrwJRw#x6AVt|z1sE>`r^Dn(%%P;Nt&ilWaV{G5K`Z?nU;gy5k{doN0 zqj>Y{--+*h^PBPJcfK9pdGp)x=38&ZJMX_8@7{YS-nsi$y!j5lzw@nl`|kJR?)|&D zC%lU%jHP_?=zc6MJkE?C?u?=$GXB;)s?IPz`N^@E6vNE^Kb(S*S=1cv^`v(vX`SH|M*1? z;l~2{)JG*Iy8z4tO7Ms0DkqHjb=A0iBY4Vbc3$Os`MJcsUliYes^o9^T4eF33zguS zQpY>|$nY?HF_7n(f@yl%tyU+K zPu#aXCw!n)=|`aE!e@)=0Czx$zZD1Qn;X}!bNyhByYpRhl4y@IhQ3DLSh4cRx${frx=&`IUB2wK&*imJQ2LdTpVtd0|CYKfFZ4Jt=o&$tGm z;c*U7JVP-hZ_)wAd7mBwo+w9v2dByPXgFjoqQcxkZ zdCIPA8B}}~&{FjMRPZ)R?1yxY)r^n}54`o-RW_mVFT5Yby{sfzP6`o=>xpKXy z))Tw!og`X4WwtAGCwgxV!G(4C1ZbASz7sGdFyhcHpGl!P?;P-DD&f zE8GQW_KQ0ylw|jA5jKW()@DqPTu`Q>Kp+-DXP=cc9EM)#DJ)YN4zbf23LlLQ3?csV zGru{`3Ai~5*whnRcHI!nl|XO=FZbm!l1pAIjr%OGaojS7x!ORmv=N45(T_0u^kSsW zGY>V`uyR*d7sKru`=DXd#u&%xl#F!}U`cBlINn2=({NLG`BU*aSmX0BXX_B{o$&mw z8ocO23w}YE9Yc>AXwrXrjCxe+Tw8&*`p)3t24J%V{{u+2*Hba;wOd|aM=0$8GTm8b zH2YCYersm~K-7*to}J$75SaCxB{7!EEgVmG+tH-oM!9H!>)bJF zZ2C&f&s~qn(aFsDd+zLpvH?2JnFHuP7f2y@j(I&rh@RI0U!$XO=ecKX_@y0sHtCk+ zag`UNn0;VsnD@T-e!Tsi_cC?NgC|eoiAoJ6v3X#+psiS?PnWh&W-h*lKT}4A+x)67)g0&h%Wp zeI+KYHR7~q4SL?@T!E&5l4k;JokG{ROCqPpTR9u&r~F>;j?<~R9FFh!O__GVv(6$3 ziUpU}TjgwD6eoo3fp=srzR#Jy!bI6;Jo!`azyI%#JowpXb;@&BEqqNF#%v1y8xaRJ#+Sfz$*ba{ORFQc9x&?3*{PCI1Mf#XPoE9lEl-5?}k;AI3)y?k9H88>w8b z0WztjVozc-Ya2lCtw}Dn&{qcFaff6tODRa z#b^Wf)X{UzsoCfqABpXQEkNW(W+kyCo`N5Z>9&vesq@Y{*PYgEy{xANWc0XJ#+sZ+-n0s5wM@l}POwS0s&(<|wew(7CBSx1;O7;F?T&oSUv z5Ub)f<|;ifPR%eNhldh9_kxx)n46znIFxB={FkVl`Uw*GCv&JY>GM>a33#nD{H*f4 zeselreEHb~1Kz@TP187RY+->wL^6oVR-n*{Jt=}nt40N)0xm))D?mxXBTz#ao$NwT z2yDGuPHjp+Uc=A)b`TZrsr7fdZ<;4Q!vy_9LjX>9j?pr!v8Lok69YymHu2GJFbtx~c=T9cu-duYyhA+vl7}yY-F~ z1?}&GJS|VbrXW*B_e;}SI2L+|y;ksNjErB510WdU^}A#ub8Tuy9|6vDX=+ z+otH*>_a#d59@hst!>f|2nd9RgmTFE*(%3bP>@F61^uQ1PX!Nn=5-9PISOct^Ga-C z7#$ez2wKxP%iTF>qYEzj0GQPp0G?MBdlO+-uQp=`kgr8yNQ9>o!exZtp0@8Ds65t7y}5(A*|_% zYtO_CKy#>nI72&>ErqX3*)F+r7s+N4P(F&zuAu}r*l1P%1xAnt4s~@ zU)$EeT8pOuSU2JL;Dfulu=AtG58}hefKtkXClBJ$(}%IN>^6XgFzC(f$=yfXgWlA0 zdVvIA=G2=S9*?47>CsGSCA$<|VH%@!1kk43#R=LI$Qc$Qf9Lnq!;(t>2jqM4Xevw4 zUkQc;p9L6nWPZwuEXdb<&9A@zDB|UZAO7~K^4y=o0--kgvECeriK)4mzjiCG+$abTyx0%X;_VK4dRXt(lAlRDR%@jQxjte z{*+Djo$-&#F*+6yb{LC`%NWycG3uHQ^xwb`JWxqmnwpx;$_BlmV@(B4qdSYh&(Fg_^2DOcpmF}hq1nI$|S8_w;ilSYoL+w2xkn&37z0JmF*pX z5a*aWX>xudhR27KV6>)Ggc%1%ak|FoXs19W>=by^_nd+0u9QVe$^m}LH(U)N*5k&_ zYpKv}qC}VglRt&A(;f~`Pen@>zzIQF>_}JKX5SgG0stp z#&3F+%0KJh%>X0(Tz%Uk!zDm0F`W{h-Y*HyR}pG2bvefB=m0^dI6Pm1JK>1E@SBY&+M)x#dD}~r~`azC^<92C|9rsU=N?TpkZZ-&?sF&So5#(~5(q2qKE5SYW#4ujGmN742#aBk^Vypn0 zRHH>5j2&*nFUI7YpUV%@n{_<}7#v5favsQRK(WfX0BegL3xS@`l#it``_YmMnYP_6 zY&W0Nlve?>NA9%_$(dVoc6u(;;Rsqa3O9ES0InK6sCEQkb+8$|Ex^hoAm{cgF*Sc9 z7tnRlF2`PPZW^2N6onSY0RU!SuO^0CHwvUesn*?bOMmL+9z`C|=kz1Yoh27C?6qTm z2N@?&=A6@Re(RIJ0i4J&vuil>;-X8(+qko1WEumMvplZc7m#QEV(*1a-sOHf+j^Ds zAVEWn;okOcJX&}X_a1*34^|%M6!psHQYyH)JagrCj-|6o%1VKS#)sbT;ep|d z`E(k7xPKtM(aO$a#?Mu@M~C~+hzph0V`F2bc)-&btHk8&T-+ars0-EcB_AmJf=4Dbu-Sc0uvzsWgXkJ--zBA;FQdl@ncTX$-#`W$4V{ zu6dqx@3T6k!(TZYcOg?drNgtOeDdA*mm*Uve;S9N(S?I{iiWcB;b7p4DooQ@0ya&&>T0=26 zcY{|$F6=e?t$46CPI8?Gaz?P(nYj^kX}~z8?)rpkwH_Or+p+j`IlYQb)j#{p?U)=N zgAUJQPh*rZxdkZx@=yO%y#Cs&F*7w4L&*8FlcU_~(wI;vF?FxTzJ{BNbX~yq;e*HV z-FM!LufO@-c>n&RI6yCJROrdfz2VK0k!3p_8B&L`&-lsvAAJ~G8|yiyhHtH|ti%q+ zn5mE40@E-cOA`=1ck^o8dHu!Ac%s~OmN#kPP_Mmh2fF~I-GD}#EY6`qSJFmOw6c}H z(;=q3>*kyqeO*5Q+*6O^wT}z&3V=M=zW|YdMFkq5 znNHIispqbg6G~@C1Q{E?rNhL_6q!^V3otyUU3&-&cW_bgZmw>`!OmV_cOsy=qSbUI zZx;#<^v=KuwwzwG!vt84fQt=|1aLk`lIGs@+s8mHElmWu=`}J=lajk{KzMHCKQv(S z*5T}AyU&5p;@G_i-1WW+&DMoglwL^(B0F0lr(#estI!dAe6Py0(Gq8_G=_O~jVn;} z`YM#{7zLVv%9Y+4AoDy1u}Hd6G!m6l+dj{BB-oVDQWo+Y0HMil1$_eIjA??2(tE{y zWo(}-clC0$=LY>+9 zJqSk{Q1E@+2HTlDTc%e!Q`)JN_?Lpy-?>gY@JJ=Z{RE8WYqJmiNyU}QN>B$qh%un~2$|IRNJ>8y8)UQ46BZkoxxO zak=?y%-ne~hB#lvp^z*_hUuK3J^Iru59WO}wa+1KK85Eh{e$U&Z(J<2%E7qgL!Qgd z%2N7BC8Er8F`LuQJsA#Rh6z0~2z|zdUQHwQ;PfDsgWf+4WT-8{stVWzkCr{a`R0Z> zOAi5@D1)=ImFxfjyWWiv!S#<-Z+Z1mb_qnwcdk5R_a8FFn%*M4_ zb5S3{_&8gl56ldrvV&j&=fz_Ty+VIURJ=nH`Pmg4{;a1D7;&MDZe{D z6#G7tX#-m1wQ~LiSV|K5geT?Y0yInUy`>{}m9?Lg@>}QJPp;{JO)8hQzTD&9`*-90 zyYI!);$j*SPTLmniT;HK#>OV&_0N7W{@h>s%W)0x)IQirJuxvk9WTB7nRw$1Uj~4F zF>c>^A%-wgy1IH9J3!W*mlK5A{i&1rQ~qSQ9M8}(lyXY>i_B|ru31+mCnjTVb~g32 z3ke@Td6J$;y^BtP3jp2mXL5WZe(EQ`6t{2QM8{ULE$VQ+(CLKI!NW5Ji+Uj4+34xg z3g6db62oX>YBmOjMl*kG56@b6cHrrg1e&^(G%uVT6VxV11E8$}Voh3aiX-zJ8@o83 zp+f5Eo}7KDqH`Q)r^hF*PUlXD0&KmE*3Hm4XE!cLiSMLkbO3-+y7XF&FlQiiA{Edn zU8wK6qsDV8`+&~1^*E$H3EJtq)4uN5gP->>-o#4#K2OZRb?OQ0U<{`rPNrURyHIH_ zr_iahW8_}w=jZ6r({`A9;$ZgxnPcc9Ji)cD&9ELn>L}Xl$2bIx#{kJs1IV)F7QfMU z2NHTL&-U)>H=PF-LlgmvU9Q)uqgWesR1;;}La?@A@*4N;LNR1qCO5P@=`=eI9);L# zxIya`EaRbEe6Ve$pd#0tnbIY!A~5y;4{EZ2jS*Ynvpt}b4?U>dzDjhg7aSf(z- zU=$KW4w*kL0ZYjTmb)Qft;qa>1V)Ny9HpWz?BZd4Pa$wuT4F6J>}Z2=LqLM^JA*7} zOrjI`R4Z|$VB`i0A#Ws5HsQFd!%a5d7#)ae(**B;rSu>PL;yHSIE9-Xui&Ha_cwQQ z;n4}isB-dL>sy$*JfkDrI)c%I8t|P{Q1)}FtH3e8qt55Fn;-K0kMF_nxf2oHR7Eig zss*M_iH-mUbjoDt!o@Q#>kyFD5GY!OTid%>k9|?k{xcQ~;WgMFgY;>wDTj}DiR18)a~JQf;|_k z<+WVbNi$Ke*3y&NK+u@by4mc{F{i>8rHq60*ztgvAwf@90%e60=X4=xoL09ko+DsY zhONe6QE(vHm7c_n!wq^ zddPQzpq-uV*Z{m79PEOB;V~{Y+5Q21+uquXdIdp0K9xHWxd@6{AON9f%E3PT0028> zJo`{sL#>gRp1Keszk-)IP_02vHh(GaG=|)}X8DTkyS; z!8ZAF>GR`50CWL@9FO#Dv^5-PeYGc=1N9gj7P!@^Z&?j`;;Pk?b}A017VU8P+;P)G zo%HL_GIk|YNLi@yq1{o5ftE?&2XgvQueyD-1I?_XXdZ4X#@(fd@nCZ?x2;rm8bY(N zwidf6azW;}p3R|BW+!Ii>dcj#?%V|kzJ2$txckA~^s<;%tX`?bSpQI5W2~-FhKGk@ z6eE6gVkBAvwKzQ8kHxKpc)a;ImiAX;htGQ8-Me4D%>2nzJQt82?d3)Q?p8E=1K?6! zM`=FAnAnAPlv~a!Ad4w}c1NIGL~0ky!wxhb9BY-o#=BqIS3W0M7dnzpN^xpk5Xm{* zql6Oy^x>gSny}9Kd0*?ToaFnCj1)llnx8L<_wlF@vDOr-t?zyEvj?mKVC(}e|$my%P}Fs@f#dp&;kU;bC(xfh;`M~^;;ul?a~$Gh)+ z7l676P#la~&paQmzV;LG%rkeOfswfL?DO&Lb1#IuK+%P?t&D>_uA``U)98EpR%5V} zL(?hhIkPIvUrjpJo9JRR$zNTxwXqS~l)0&ic>eaS3w=b8MSK@nb zzZ1Xt+h2*_`pWObAAaL&x$nM4$@C&lfYF+Dw<{E;&{v`;VK%#AB?_4%7|0B^ZF*A8t^{%58W zJA%V;x8BO@^e|okKMxn~>cvk-7WAppV~A%A!JqCJ)PoG*qG({aSI5RPJj^)ntzCC* zbb<4JI`{w+iPy}vL7I%_1-uok_!VU z0xhST1Zc_ZD0Qd(yOACOvlJ>QRXu*W2RPq52Dk6b#d9xSOP9UE&Yd+(Kx}Tn;?~x~ z!};`u?-fQW4IZCDM^9IAMZ5CO@5}lA>A9j;ys!u`+UA0ra!@yZ?LBjQxibKVukDf? z-+0Yde|kd=Vm8*$=>_-Kwi6By_Yx#*0ydqZcgGkWk#*7IRJ@hNdt%VC4K2b{4{Y&v zDtr?hL0qPv(M@jOc!HqOT{iT%7%yAAR;AuKT#g4ytru|Ary}ECuCQ}q*Bh^VKIW&d z?8X|fp7o$iyq2cbY)NRoebxp4>RBGii_ervNWa z%kMk{zSf~ARl_vS5wd+Tj*x2^+tyo)eV$|12)#trK8zoybTQEEET6x&v7U=m&f#|j z>p*ib`D$Z#JGS??(-<-*oHGON-c^TAjY~G3R8O7@Or|G|xtc&h^i!+eXder7Om1)d zms6?-xu9!qd^(=FdL!n>W}?-H#ZT8~95_WIQ*VHtU4iZiKlU_xN3WZU zjqJnZVfsZLx^?4f_Qz!%Z+`G=$vE^npOja}v9YloE05QaafcZXHaOIun_X0ptDbud zeI6oHR1Ev{+esV6e2y%IjvNcYrfpaG=_sdOC$1-^(#}C1w6_No>NNU zpQNb^qtNeinwM(?0$g7BiSs>*SF-TDeC}^v^Z(EB%FVx=&%4ayAOFLD81KCGy;y$w zG#)*?A0NJdH$J>~FFyLxc&is zb_$8S{?C0r24=?65LRaAqFe5*qkv{*rM<@f>B#%kJ@mKE3iY=hWcyUz(glxB0>np= z*P|!s53o{2!|=J6q6XkyKhdaLiLL$J*hD64yx9-jFxz8nxEpDhuB_v|Rwf$4C~xaf za@+6o({}WNGe&#*V|3_RE{a;)+y<<|Tj_~6!dzUtC8z}=i(S}$e#p`-n@-~=*-`4tSg)e?gA&^(-bPB9@! z4s0wtMS)vqO_$4>$i!~xzAKnaTZjqwDT7YcMxivZD!C-72mbc5FG z@r5tF5Ld2FgkBel7?~L39Cbxn9BKeV~$5cx9hm?hU|6p+hNxtXwPZ z&D>!yXCWjm=lZ3!!W*uuS!6pjB-8&54bqZZj+E?jGC8EMm zVC%`XpJhV(Ijtuc!gxy=p`&o^9v^R>K3|PHb>*4h;~Zj^*xd3{Ybt~G6L=P87f8r_ zEw1g^hae&N3iaf+$w)_7LT|kK1uVtO1Doxgjd<@Hza0-AF9D7*SXzx_9=Am8gFa9C zP@pFV(Lz|XV3Jc9YMWsZbSj`aM=B7G4%qZ_DjCMjX^djrFs2Y(0y+MqLjS2`?DL#n z=d%F7-}V88^jO}<6do>Qk@=H)xtE8YIu*U1b~7fl=ud^Yi@gdBaZ4(yH*Xn0y}1cM z!8mYSO+n^@4!w*{qiZea^!CN!xY?FGtS4=A%x#-=cu^U0}hV$xG_%LB!wTs)rBP2X6EC@?A7#^nc~A7ka|1a+t?UK zc{9TT;3+B}m7#i^)q3L$g-~r7pNSy^2=d4&DB5hOg5dt<&C3Ow-?{f|jN^r7fg;>J z%)QXJo^I3YMGobL4lt*gJoJ7z)n$HSXKlKV0Q_f+k#dVWbV4cm7_WK-dIvZ*(=*N} zrdOmA6QlI?%v357jlg~7grP(lBxl{oRQMaEqlesuKdY-t;kJCr3?+mfY}2^7V+q(0 z!=MpO?&VC4F>Oy*7Gh;>37Jy~cl?n~^_(UkJMWII0~GopzyrB>!gCD=aQ}13z7s|u zG3rH;W-~1qhDk4cGCnsGb2ld9yt0OJTc^EFAzCjznof@@N4cLfE!@MriPj_KEk}Cr zRov1IU7l*duIDg@w4^IiCJIKm0W{>RU{rZ7&!n7&K0ggK^IY$f@*lab4!by4`uY=< zi@$Q?a{Ot4%@03#KPmur$5_dB3?J@dbhxp~!sCariIHiXzJ`auu!TOFo}Y)l`g1YO z+Ujy{2fVtz%KOy<+yHauj2#jr4O8Q?T}eI;Z4LlNrzZqzt>oht07`yUo+)$ns6Kx9 zFhNenXH!RG==IQ>;9dHE{nZ!ZjnBN4nJkLod7M+*##<^M+z+~+pQ>G2SlnHYo%UXAVi2kmav&LP)bymG0JX&Tb`P)|6j=Kx$UTS;5Vu*%=4J_E7f8xu z63Ob?Mm%^3p)7Bq*ysdgQD-rZgk}+F9=I?Gpku64M=%OxwY&tCj75HyD9hpslsV@( zbqy^gSP+z&xVY8tKGbwHcad(>70|Hjx+g{%!VCGy2ov%wJIa2rt zW*Dqu9a|6nc<*aRIHkM)9AY|0$)36T+Z0GBc9e|M)B;0SY-+U&4in38?IC?@N(Ez{ zT#;HpiNdk~3ti)WPERkteJl(WjFh|&y<%1YTE;!;A&TCtOi`s`;Cul>=|K+K!&k{@ z@F?RiNIJ^#(X-($G7W@&fv}f%I34-)=@OROK4T6Ypl|fBN4-1Ry(h7OrMFK%yAVS# zc3SO4@j)n@qLI@%>>vB70|Nc*;dgeJpZv}5waitl(!2dpyeHB{0ijOq3!F01K8JK@ zb_SW>YwdseMj@gX$g7+}IX)DaR#Nz6FLKjPy%bPeYwJ1g3N4KQ>D(!OuTO8bW80}C z@1?bl;_OW4r^3uP&==>{xVlQ+PhbwgjfO`PL$YBEp}2v*(h6T(TZxYrAI0*{TE;); z3Tdt}OeKLJuZE&n{QhufKUNk{Jj86^^#AJKR($LIZ^gYw@5c_x zG-J@9?~#GQm>!wREn<&QT&H?TDu4y(3T+uj$h(6>cN^N|^`JN%V2Vnu9`iS@#`Lw3 zIPF=D_R$8{B4dz8NK5z#{uF5Pxp+GDy3>D7w<+A|TY0*8EqPWh4k+N)Rq4rFJpAWE3nV~R`qIB=qoo73Pk%eb`f1&Sxpm=ZT z)ay!Jc+LfTUiNXqcv6KJ9vO=3*RI5~&ps2kpSc;gu3yD)8IFVP^?2)>Uya}Sjei{9 z{=?rx7Olik|3Li3pZ%BO-~HeH`|+hO|4h^YE%KVQ?h5ra&RGY9-n;u&e4A@Oxc5%1 zt}G@Exnq?5oz1=YFXPJTM|HGd(7xW>bY~l9{_4p>8{h=@SD%8$Uwz?rj1Ldew`TH) z*abu_FD>(XJ6DH)_q%W9mY3#O9_4Cf@~c&rc`vL{Ee$ucCz zJ5ZgRju;w<1N8Sc#-S_C^92d3>T>|CmP+*d+*E5V!}Bbj9QL1(4j{@>O6dz;w@C z&I1r092k3r^^5{_$}7E*_O<+4Zp~-DbGibBqor*OlQBox=H%-#)zP^^K-pL60`!_1 zgt~>n?M|cUc`H*T4xSfhrzmT9b!xrdM6h#RFM8?NU|q`aXe$OG2H|Yk{fI%55TJwt zniMQqksJ)}%KtXPN0et3fZ>BUEx+shu7cw;Ld=GnjJ3pddZ%)|Lbj`F+^KuI?o!v& z=&PAjwN5)L+1^~iti=yOribhBICfSyW7jP-sb^Z&yeb$y6j=F)>}P4|#WfbUV7^>~m6-0S>F$JOU6&SQC&3yi49)>!s ztZ&7!3cZgSQufY|V*PM0)&=9Vcd$N;z``Iq{$LSLVdZ{5rTdLfVuQ! zG1gW$sAFHuOanAsaXvVbGZ+HR{k8zQ&}1*1+^qJ+)X;Fuj!ngQKj#5dOs7Vt#@V4D zv#jVXeT|ZWkNbxEqB@F#Lm?ao{L*J!m@%q!oBwen@SsoRzccvz9Ha8`j~od82}~G| zY?ohkA>hvdRmdKcLmNX~Allbmi&_tKaDp)p!Pa|f8J1xR7ekFq);`#3Wt>`reycMk zxrh>(G2jBTI^)NUO#GiS6ZEk=p|k;+hsf^sCZLwm-bH>M7(439Siw8}h4SfzPqcK8 zxJMVCtMw+eKaZWQ4QTZ^2Kxb%le5u3I20>;tMSf*w_|l<1zA^=P=CE1bB^P{c+Q-d zM#ToZ89?+<0Gz!wWO)tQR_o=pk9!Tqm76zW;_6_W_O8Ui@ftK`yc*YbX*_EP%A3#{ zZ4#szhg(tv6vpD>0N+^S-^b{~y0AQyi zzjMBxVoQb>F_sK#KC{+a$KY<2QfVKCPv`9&>`d(l0Ydno&L z6d6mI)5!FRDfa|@Q&ST$HtGVe-q>7Sif@1I_v5Qy`OSFz(Fc-AeD;ku;&1-1{@wVO z{?)&d+oukpQ{6SntTOGkyX5S|8eq(nT<_g|JHztag7nGLr#!iYo;juth5%HsZf;)X zj0;#cH#U;*A)u52qtMFhFFhAmW~Y#m&@E$OoaIL!-OqS((|>*ATi=d%?!F(7o-W10 z%33^HT!{w&&%5^@#QP5(#>1zJfXwyO9UI$wvAyR^f|)JU|57{hPuT7<>);sw;>!5xZ8XSn1UVSm%_^HoDS1;H?xpVQS{2v8oS;7DOhHjy+&4)Vx_!%Ag-Z3m#KGws-9nsE4Q;fMYo=U0e;j`TKHoe z0!BgP{vOKcK+mO}L8lz4WN3iJ!AUTwP%WL~7E`jcuT~IpqLkk{#ed%8xD6oXega0T zn1TSwQTDaf^5oz?+$^e1(EUVLj7%eh2mDR}o+t3=QlGNNDuRFudjKDOE}XD9_22A^ zvtBxk4j!KxjmAJLz`C)|HEj!E)7?^>s`JRK`${p6B$ree0uCQaEArV^&*!V)F2op$ zB*C=jQp{Odls)~%XTe;)2P~;bB|fK475se&(9Tr9Q-2b+hr}qsbcCE%jdhclJA`WK z0L#v_sj#X{ffqtAfDTRo2P+ zD?}C2mw5<|PZ3Ua7#z(T2R-Mp1+#3ssDeJPAiziJBjMJErzqxQ+TpmVgmTRM$E&5& zABG*MT=*%$yubN5l@gyjN1l_{dL8F+Z3V&PG-d`|>xuGr$U>pw=ky+505kFN3H*gA zfgrEtLbV$A>_&i{BOoD0#*Mya91j4MZjzu-5^O4nqz{A8bDCd8XdU&=NCQcq3UU=^ zQJNl9=VJj@VPFTWR|aDDB+WRr#L#A1vo&WM7M{e1OAlkCy_Hi)?$_R;FRSh@q*AvH z7yTx^Z*FYGqlZsob!CITsK)HfY|LPJyFFdKQsta3fTp}A_+ZHDl^E%7#solf#C!ME zq7U8?WV-O}m_E=Gpi!Z~I|6*1*UqCp)`-S9h9Z4>bOtc3^fPW{*Rj$@`rUdd#1)KM z<2KB}xa0%MqQ8AE1v*JDx5ha2I)Fw`=#%uWQO%PB$Hgr``!A*sHKOTT=*F<5LHcTR zU?4`D7|OBGIl*x5LUoi#xx&&^!N)MbZy zAm5!j%sL&nk%tG#2W~DfJUUk7BnGVnxDvsdEg-1VGNeX_cc)9QL~lvKv*PLGV` zVxghdU@A%5od!4kFK9H*zdlfp=5T+EO;5$m=bnj)E6r%1FHjG61=64rV8APxTTS_e z%u?1M4~t<{j5v>+E~FF%&2ZCa%2$6?HkGM!b%~VExfi@EKPSI%k+Re_>xoRSBYa~i zP7e*ll42~=j9q|JAK*+xy~=pihA^52votPVo0W^#{BD5HmW%iK`vAbS^L>B5|I;{J zIJpJrGBl?+9*T}|#~c^Sy1~ij)=s#!>CWb6y!+<2`)afSV7G5S8-L?( z{x9O+{2TvPyz=tPF*QCMQ)9!Z>_YoP{Vix(K;45pJLG;Fv9P$9K*mng7`87R9sAsA zcgM!f2o{%~#^Q?E3)-n8Uw-+yc=^TW(zCB4Y#lIq@7@Qov}8)Iop}F)597m!k78*R zqjzmRR&z_n%~+!i+thy--q@#Irg&q(bGkf*5pu_Ib*5EXC?O~3nIXg#=fFRjk%JrC`|#v+*}-jZw>&8UG%Te5+V+$I#;6` z|Lr27{X?^axKp5Y5il2Lmf?ZcCk=A$p}Z8gA>pY|Z_aw{W0X=6zE_5!m$>JTI+O)J z-jNK|DLjZG0qJJ#(c1jD6aZON8mIB56uwm`B#119v$ME+L%F4c%B#=dd<8)&a<0#q zEZ*ngGu*)huxK*&0^|e&p5iq=SkQ_Pp=0dGdc(L;r<73C46=dcjiysYy)ijE%AoWD zvRtKg3Q-tO0f^$2rxq~CeI)u0!1Lba72#yv99rsO{f+tHBjapdFD>r!o1Nml6q1U+ zPp;=DtPW#KGx@t99;Iq{f@yO~vUlU=BnWQDwK72sA?>0UEkX%VVittR93EPwX$gAR z28i6L^%I0@2T)llEjT~xKDX*^?sEVm2_6JisTgQ)FCEn90tG5zeT<8(G~5!eD~^pz zM2XuIPL1TM{!2XE@4PiJ8uf{RIIMQZ7R-`qjrh$Kx&6J(sKYkZMlB9#k2O_!=<&&E zb-$zij!)?q+5z+Xz5PNjNL>6YO22c?Cu3L^5ZLnqHMbSDf1G|X21##&pDFnFo{n<|5L3Z&55b4k zrcPR{(o9DwduT*B^*Tgp@L8Fg$~s380E==l?&;yvC-HdYX-;*Tg2V+(E~Lv9q|zFF zlwMQXBcD6Xvaz`n>zmu@oi}yK?D#|sH5=&(wGM6Q+i6&1Ck5AI1A{RLu&Q@+-?N_R zfhP6po}%<}#kopBs~Y}219bGZdZIOjVjk;94pyj}vcwhm0A^cEJ$z0E)hkpD$Uk*q z6n#iNX)WclkB*G8%gXFT8^hgxSI{TG!AQ}wg|y05_{MGy(MvuNgXEI1Zq3*&T;A)-VbW(-1Kx-fes1g!?dF=f}`7)^yv7+DVaL1lT0J}GgOg{K9l$*&*Ng!kY&{`q~%_56;yaDA=;;I(r<>#DKl=Q6uj zVx{Ft1*U(tt-n4L4S;6728i_i#pf)ae*badJYNN%`Cjnp=kmMvz3gM*=~BE0V0-`G zhw%_&aS0hD_*5SnYJeyL)NRMY!crz&fB4{0eB%$k8vpp0eldRMH-0lV*Vkfnd^CRg zXZ}q5<$vR^$19)t33#6VgFBrq(Lfm+8jOkIq0EC>LoT@})#+JVTNW=mHf5ZYVUEkg zM^9p5X(bk%?gluHOiaZs0G5g61wktq#P7WOe%4<;SOmZ>0Zem?Mr5NhJawE#-7&gN zS)yDKEb@CterL=gua3LVHB92@r~qyqKkl7AXnG{-B?xqJCe)Z-|K3_Fb`Q_v+i$-g z@4b5u(1+ZqcEt|u>*x>pRKjxyFZF7Aa&wr=?}jBQ2V@TUw}4#@nPTwhop)BK0S~nR zxULefA~$6*OVX>w(>hqF}xDsPkqzT}_!oi^H*q`4kmarPcq39$p7y|-7yhq5^7vz%^8E+>kaaBuHt-8NL;wkkeqZ?*ObQ}D zE;9N>kwW zak#yc3RX{QCq`3ZuzeDmM3-*v^W&(sYV-p{2_d;S$*tgIP?^;_`kVq7VHlXK14ad= zC$v@YqtNy!-xuIS)sxw6gT!ZDyXlYar`yr}WGhZ!m{SzkIe@O$z3qDdv=FyrDOm1P zabDc_(hkAYP%YZf$u4a>%C;#q5FjA42DCQZq#ygMu}@!VwQ~Xtjj-YT1eCNlldi+? zxkC10Y-L0b$H7BuP$iZCPhlaoOLNd<87rPCed?k@Nv4p1rd?s}Do3qT$6ci+jXE_l zG&GROvIV#bh+f9420v7=q`S-~N#E`OJP){s-eiT6=jwq^kW3v?ky6rgeNlHFMjfrE zx#3KHT?L7>w6V;gujO0bGrx^cv3_w10`bxmT z=eAQ|E_k6YF8go_*r_W2er48`KQ@L|BFi?x&+PES7Bcp6Xl02`Znt{+j)gP0i{jjNNh z3?5))Z!^bAnstU_Y;YvzMy~-j25Db!F8-+3Fjy)m=w9RhN8-xdRoY0~4j&_fx1e8@ zu^vsmKNqwOjY-?~Q{hF3Nm<1qE!uZ5Fk_9u0}V-wDFc+7oS(ARgBN4sxg&I?cT%~C z%;mo6Da}95xp($}%S{qJKS+D!q_Y^>>pMB*4rM{PVnC(Ph?ap5dOUv>8hxg;1_uh|tyl(I8h5L1n zV>n*Dc0I1lUyJFf*^I-M-+t$}ek1;y|Kk4{-}=L^rc8M8rB~xG{N=wAFMQ^+fR$#- z8}*lcT=wg4#bAFc^`g_*Rb+(DDyPg{wBkY}XHf=+hB2CYkXXo@Mm^@|=i-%@U%(J+ zLI2zF&Iga;tKa%w+`Io6@Ye=#mK>o&@WbfPNXk=Xa)y#o&!R)si;lZ#>Dm}!#zngJ z;Phj;?%12lvx&jy_M3V&mE-BjgwT6>U5IB+PiTSq8E-G>JUH%-Z@>RhJY2;4 z6Q-4L{;2+VjUaO1hr{Aobjp_bQnVc%+~x538V9@@1F9fQj~S=s0O$GT2A(ftnx|50;`Hb&4tKB^ zxL;1&P;ya_1i?8fCi_~!Z^>zS`ZHHDLx=*H6w3BHCwdPFS?2LsDM0f)J)#1gQU~ir z6SJOP+X2LU%yYEtbp7^V;r2*~Zex{oaI8;rm9p_p-d~W-m8FfBboj)5gomDKpKQCc z51_NL#z4%w6GfvEhm7HIj+5hUJ4!thq+j&046dTK&umY&@uC#k5UA-TmtpN!>9x>@ zHBqSAr};Zd*C~?{r&|E4MTMJL4S2rZYXzD&aEmwduu_3Ib%o~8AYcLDijrGGh;Hxf zq&03`JaQ_W>#|pl^y{d>x>9BFNMWN4;Hurhx0kSZGdQEY6_Vhx$?adQcCjFAYNYX2=N@ zksePl*iI3w?m#BkJlfxnz3nZ4CRV>82Po6aKkPRsm2r|+R5%)oDiWvAR923I^ra`) zEqYy)W$d&uhNg~b4)k+=jXP;vm+c$ft;a;`Wshb+5n$fg3DdW21FGA`JJz5r46O=s zwB7`0jsY%b`(xtDU`)&m#l-j!GLz4P{V@y>bcZK*1)CZgk0BJ9G`6|D8BbB5dP$de zH{#LuN_@ETFdjX=7e^?#0SpoI74M;tc2#QdhK53|!hJ@jV`6xg=L3WR5Ebs-1Z2+6 zT#s9~pN;we3icSI=F~0o3@?Gc8FLo{CA~se(!8?LHY&-p&|f(%4!Tgaj>te2{>FL}Sb$)Ip zKKsf`@n^pDg}8a`YRaM2)wOu{{SRV!Z38|zk4H}yGSRwn()&$JjK{>7;ZuforC{d1 zj&0#Z9#o#Gag?&s8I*R8w{eYbneDmCKkeiKH}N-RT=?x z4c+456h@Entd_>lz(~rKlwTBQxQt=7tv~Ac@xi7-Tmk@;2qFtmWRSA(y{`;L2V{O+ zoTAYZ=oH2|3zh7YizjfdV2c3x#opgU7$}I4we8KL*jqh}{moNA=3%S>Huttq=-hq?hQXqJ2{d`G%pmyc z1S?wx=Me@9oDKpkvIqHbC1pR@)AYS9ll2#2CtC_G>DzPgU7=7ll*acZ!D~E91WyG{Khd z%Wr}L`i6TdShP;{COdYW#O?Nt^dh)W;K~zv43&fa=9IfM5Y+c{Vk}O0uQ$-C(_Hxt z{X4cU6q2@7=&rhyUsS{rmE-6tLxpI1TzyW`TQO`ryw-mWKG*0A4M$fm?sDJdmDTw0 z{zvh2c_9U^%G`w&JucQkpeC}kK1p@bRZ-C94dtPt&P-`CIxv`E)=(1LZ%9D{!R(Z2 zt=f$9V~m}B$PxY&WV-d5XyH_kpPmhYrZn1f9u)vm|73p*O`|x52B6pTSXtSOtu4Vx z0UOf0AW|@SdhGRr%)K~78M@_d54U&rBv;B8O25>@e(D&Bj!$mGXc&qhFw+$YOz0=* z(FE_k@LRVlx0QR{$cFA3LcWplk^QYkOpcDmRTc3lpxsz4J?DVS67~W8qMZ&;4q|KH zg>%q)vyywQ_f{|*swfsfUjs#DESk?mTj!KIy_p^qr_IMk#xu{R-t%?0kfh`)UcIX* zt%cq7xWDl<9zDGuJ6r4YF@`FNa@W1l>3?}Zo)|ZFbM^+nrIpXG0W>D3=Huq=o6%d_ z2B0p`A1-n$>5X#w+;s2RU&_uxy9HQ&GIsf1g$t8#Dm0K^^2}lg$$M~I%EjW%(rZ;p z8tQy6?<)sB$I+JhR0<>mqB_Pvj?|OBR(q#MqHSkFqK3Nz; ziyl@0szq;Th7x3fud;mlyYjvDzU;#kXQRV|aqIfEc>UE^;&X4j5pTTl*?9f6*U+nz zjKxW&H~Qe-`*HXE_u?L}rI^2RA=cN{9g{7rfSYD3Rjg9o8Zej#F#q8`yjtzaT9&_A=hK2!}v+7&pw0v=*yj}?%)3qP`i|JQLp=l_wUE@>T0ZWzpb6^?7@j~HzXLOZAdJJ)ixB_ zUUYUkyTminnwTYNPVi}Lay#6d!d2~V&uSVackB`zODNt&I3@3zt|%9jLhti;u10sO z7KaylG<5;joQMVd^SMc<#o^#|x#yWsUC*YWQMNs2Q6)=chp!EcmlkrMb&8BY&Zbe* z8j3USvwHyO7a;Q-fog|*?zZ0#ojn5&jKDwB6+q@u zCAPQs0H}sKbYWOwRDzl0vFyelaTKolF^;q}jO(F+A1?%g_p-MwYD5*9Erj_yEtPTM z&+k|JH`0Rz9?3=i+3sti6ZcFnhpVC^6-n1&AJ#jP)9)2Ip@61Z}ex20Ut&X zJ2kkscNC8oOxdv&PoM76S?*}!X7+Yw0UXBp4GbatINyO#psEDYOC(XGhAs*siIZZh zd|z6K0LynOa-BJ zv`>6yT7DGs7xr*3g|Gxurgi}z5R7%yV(HW+g)-M$V5e-ab+vsiI4J^H09`22#<$$&R=EphB`=?6UHm#)tg{%`hHbV}F*haZ!z4RHr~r z!(DM4k5u}CZ~nZ$jGPpcqTbY);qs~Oz`#v|&P7DS&#-94$P zr$AF-WF1T`VqQxvWJ3VFul4dsCHg5~tg!XHV=aS$QVuPVZSh%@Ipj&s2T&)gE0)yYze}-|JvG4Y;T%kho>>F zrx;XibIQ^0f}LZ9E`1|C=s7k|t$9~1dX-(YblHcrWRdrjF)9V~7AyBOD3vqzpNqr> z1_xqrY%p4bEr7ZkM!?s5D7pQ^jHBvD;Ew{j&Fyza=dJH<#O49YmA;w7+Z~?$P4`bX=w&xAL@DV)hqT*%2q zAoTz=sP6Vq=J_1s%&mvC=ybL-QvTKlNNV&Vce?<#@Sa!o4Gzb7b0GO}x4nnKe*(_| z4Cy}`AU|iA6&2_#G|F%R>Si5^6QDRTluNt2=H)y9s~krI9`8PGa=-KBeM1hcm-0zZ zvAWMX{-{GP{4oy(fXZc&%e_NETJSzX6e~K5^Z6I$>{I2F?_lJMKSW#paTN^TlY-Of zoGFCt%g@fo7eDh%eD?Y4@$8kU7)JS;^gQvKe+d7J^-6I%40A@^@ue!>4BEr@@p`&9hI$Z@Iz$^sQiMcF=-+0ZKDukThNs9J^ zeNv`e6p7_r30okjJWt?;BGikfm8;dJm2a@SeJJsL>Uk>IqTYfsnM)Apbt!D@XZkG1Tdl=m-vc_QfMgjd`2246t8of6;?je-#i4*8c213Pt z=LiLG>O!^S13J10Y*(uG_qU))y@p)?U>CIMZ7pMXsfUfEv1x#6&m2Q{C&)1XbGLvA z0AxlA$3`Q;sX1e)Ow-hM;Sb|-fFgJQ`X=LT%vAeiKQ@jwV*7kAw*sy<`?B-_V0-EU zF0a@7y^Apc@H^h82Jm&#c2RcHlG~d$`rQc(gA(4iU){l~(p$|b$wwyfN8$8f7!3@L zMYG@7!bUN2;0+hutsEkEch+NLi?X^H+Z!nU{R@x^ZMgt!Zun}C2ovMgt&;x^V^KG*Y7+6g&uQu3Y! zTGc?x-E81D%&m*Qpsy$$ewH4Ufk+7M>$w;z08LXDnbJtWS+5R2OUS$Q`YTVA2jxDc zSkF$msBe~3pg&NgNkL|(T>jx=v!_oM;=Om?iSK;#oAIr$|6zRd55F4U{Q4inyYIdY zK-|K3tjEasIQqN`UPac?Ps$=+-3D=Iza6U^rXE_3ul?a4#DDpp|KH*_e*K@M%zNhc z?f9SlTYnSK`9J6VozyS6Upa>Dy$?Rhz7ud}8l+qoa2&JK6Y-@lyb;endlUWN8!G_R z_uhRso&a>6)p19lZ-3`|@o2$4^Tin@tVn&};mUbs%s}o+q`?BMFd)TKUi5&a<9JYR z_`NjYcY6Mvee!)Sw1g+ASk}!=F89XWxL2do^PKB!f8-mU#8=g+Xbka zr_-FnooDMgb&;RD8yx~{H9*~D!G380Dw_=q(3aEM!?`VG_smQj1EN7KfjL#eXL56o z;&4JM<$cpbj}FmmJIUCUSo;za>U2IWO0Q=7U@t+XPB0Dmqtj}1!}FP+IT^A5RP(Gu z#mOf>>X5R3tRn%X0w9aiG=juZY*PL)2%S>CEhW>^T$BVe7vI~!PSL^~M1jrEOanA; z#dA02VtUjSd4R}0UBi0qc*e!Fe2Hl?9g0H1U4KphmTr%B%HW=3-2h{c5SsKw3KF05 zeGHDZGYHd+4oGWPC^fyvfQ0%$e+gMnXhO2RP zaa&dHX)V%vho}V{*1_)u(ejCh-*tZTT&;IOiTBTy=A7g2PM78WwJJhAgY@;m33WZ~ zj-&G)Kpb^PK}oqze|lX`|I2lkc-SXyB5>TM%>eLj#&NjXh-c=nMn6{c84P7=E9uWM z%4_UPieq6caiI+3zP`WT67XLrEvG1RTTuRFV9#?r1&0Czy@!sW0?Wm2erMm6El&%$ zcLuw$slM@KRQTVbNCmLwe*48lQTs1F{Jv*&LwHuo5Y65;xs>WZa7_$DS*{_03 zC@^{fORdpX^iTB1(9CeO#!wOneEENUc_S7-dKw2?yKx4eoF49$d~blvbA>%T0>%Xh zyL--1T$!JWv5_VK(`o+$YI{H%Fa)|v9MfeUP+8KAMr)(H5!02)7&{+{#&I<&@KO~T ztJnIXIn-c`jW>i+QD&ANI=9j2i_yXU7-a7|y>-2*j6n@LXaKtU0Z{!YQ@%SsM{%BDs6mhJlp-B1tSrU- z)yJ`ZvK2=)E*oK7CdOiXaw^8hCSz!DB;!a=sqZ$rVf}P3w)Qt-ed$RY>~6%y`qS9n zS_7EXV{UXlre=n~*-tJ!ngC0Lw4Thfvpsr8kA0E5hCAfK&yVF=Dau4Y<^~(eVCcF7 z8p?(OC{SqA^US`H-pr&iWuEttUj?LsO!>O-+9wC}oHE17{dqvJ6(IUS=T01`lk zdSwCdX<1oyGYMz>x^t1xJhC-o&pUmX{m5V;4;>R151V!3F2L~r@t^&t@pt~;|F2kj z`V@K@jz9k|{H6GJ{@4GTc1h*qpCM;@Vtiz%Y>9}Bc>L&L zeDAy8iG{~c=&RFQw4}bCn3#;K^H-?*RPIpL#2_xzg3-!Y?_B^+GifL%6HNMh8X={8 z|Cp4i_LS?;l|^9Y0xB0bsUsaPLFNg@t%j@)%K2+Eas9<-68s4?UC6A+O&Q1e-ru-M zXI5Nvq?gubSs$NO1;~k3qi9wK`jLkZD$ue6FFz?Ce`atx#lLdcWvcg2{UJy`T|lQf zFz(O0u)Y%av7*28-uv;p-+U{+_0IixxVQyT33>!XJPE>7Svw`>B8a{AF@lTVc%;^? z3fu+KeE=f8Tc+x9ddd#76oA-;GNdyrD1Ck_>5lYB$>_!McWSEx;2aD=MMp5@9r!JQ zBfphSFW*Us3c3;xp_Np?Td}TF+vo3EaK`s#!gng~Dm-KM28M=Va+D`vhLNWYCsB1T zVZFl=1(t`5r?NHmQ)5t&QW)N;13^ZD6hV&!3}IM5M=9ISd+X5wy)sRy8-g;enj;sz zmUdA$g>Fe}V>NjOfOC)j-2-&)^7|fj*$0sB?+S>#zXM^5FYmCu#x2UKBPhyg6yOyU zVJ~$*wqJO4>bV2JtzAc`$cTPt45w|*Fa_?{=_C6vui?GZnO>*&$D8=QhxgNqCfx|I zyv8pzUQFxJ856B!y`5!+WOv5Qxjm~Zko5wl;MQBn#TL6#TCnb!n~iaDrEvl?>Yz~8 z(#+{6>e~Ucj(y=k|L0B!vyQdy{q-mquW7Oem2h`YCFwvKacje76KftLLhIlDFviCz z>Yc64oVLp8X@s~dGM&bhZ=8-jh7N3N?xuy}52t+kMxwtqkw8;`ea<*(FiKGJVtPi- z_zuNVcQrIXvoYF;Ca=|2@eG?=b8CGwHka4pZ0~>uy6|Tw&W->mr-H|G`V_F%tj6^8 zKs@){WPI+k*W>k<=HlkH;h3Ck#K2%TZ8GQTAppO4Juda2trkWhVXo1F-pRz@_m5f ziJ?h)m7A5!L8@1{9|hscS{0^?l3dmAv%0HDGK3`~3~gb&1H`)+hr!_?0B1FJP)v`P z9>vDaYP3phKwE)4j+?P%`-I5(H6=T02- zEXU5-N3nlo4o!fxvt8$H3i1v)C%{O0rI+L(>9x~!8u@y*jnO?nS3yeioCz&=&h<}T z$fVQsk^C;7xN(L`TivABQx#}F=LD2|m;6rg9C?VZIXsX461?`*0X`;YFDuGxRSck> z#>e;KF&DDr2>N$-uf30pQ>&#owcB}BCVaY-MJXLVx7ZJteYox92tadUdP$W2m~ivVoB7cPAI80R?;?N7ZbGYToAG#Y zCDt}~kq_>(-pcx1y>c~f-nbRluinUQF~>#$X|zGU8yy{uX|rQAo2i4Hrq)BLw9WWP zbUu$yxo5i?(l_^|LD>#cNYC-CrM9zH}By!(`WUML=Sc98X1Z1@v%6r^u{54 zw7p-p2vtw#CNb(ESjYD|D_m@7OsoKLd3_@}&9wmnO~=S=9eOs?$N_gWq3b$^RBLzw z{ZgZD>X6=C*l9X5+a*zyG5({EKLObM{!$JFL1FM81dzs2*;;|28neWBUKAPJLT9H1 z33Kb6X`dX#=Kdzu`f4n!BA|Bn5flms!CO&~nRgPUF0$78-8(>FyNaFjpa;YQ0FLJh zI{G-*NkC+E4w}{nUzKV@RD&qC3WKG1}vh@(9gqMuq z;Rz_a1haa(7`VJ52gBbBDDn54LgzQzk#*rdzDUr>P?Ry}9HEc_zOJn8L6Ht%?GI8a z2>RTG!+IUU_#68u9)uwT<4R!}+`jQyostZK5KN%OtDsWCcB4IlC(~ z8Nj@sN4AyM^i1i?VQ3A7`V#Y znmd*CF`$H3e4k^NbXNqZclY@Xu50qUN(0Es^DEHE0q4-ZZl~!vk8_;1viRN@x}zg3 zc|nnYMv-{tc9R&2o7=Imww_6d1)@GFcfjcziaKDEyM&7cB_5-16#S46^aBV$ZuPXP zQ5$Yj>e0}%hrl)`s;lZ1n8rS-#9cVj1(1R2a@=gA!n~V0Rz_)4=Q9Y`*4(s9NFF8i${+i$K!>^v9Y%aP&`ata_0{d z)*p96qZRtNT8vf~2Go11(9mhDtCSB=Zq>dxM}A4y=Fv06q8D&#?%i(PyDCn8uh6$$ z71bA139n~15NK1YysMY*Fl6BhlsrJZ-Wwz1qtQP!lrd*d)}CaFqhrQA>4!ddy6_04 zmCA`{OU*7e8fgv3#K2h0j?AL;uf^!ZEa1N%dh3frz~qCSx8nZpH!xJ!la}NG0cMHS zlppCI{;5CGONlYlNu8HrOwhD|vj9z>sC`zOvu~g*1WKUU&wc1qjj7}T$Xfk{>~xo$T>$nz z%D=>{Zs+Gc%l_8IdlT-L_q)FCmSS9Nc`fg)+hrdqgD`&kkfZgw#?4TS438&}lc#g@ z2z3N9&4l7NuHPu&Lms3Eq>@ND925C7SsQi=RAJ0;FWnlW#`uRb}m>nrt>|@CVb-z+v3VbJb1haaN5Ffao4}2 zOx0#?-@QHMr85^LRKgTVBY;f3pA+K~faL3O8!&4A-$CeHovH3q^ujXbmH(8zdLi`^ zN;9@ogG#4BzZo@5S68pa5JuqK>{ML8IUlvbN~~l`=$gA@KVVV}i;9&Hl zP{vx7Fd42ZhEKds=GxthZ5XX@pb{tag}WeVd0J^X5xFBDOOIoBJJkAQGpqAf!HNMx9E7JMhYP$e$ z0OMes-|O9m7xZSffvvp_+I~j;0AmOur(m7pYVc}2pIan08ub_(8)0mRxmgd&pdCxg zYq5%fDA1-c8TZ$y4@RptilQEf-g5{W`gC@ogn0`zp)pq;Be|+A6vAMgSMJ}>wF6b| z!8P>zDgAH+z@WFdcNc&PA?H{k47(UVI*>7@|NFb6HH}i48;<%Yg4i@yT(aK-?IT}~ zcz^05r8;IP?W>tYeCCcrcxlJC-~aD&td22|H=b<9>XY@1yRP>)b02cO9hsljzJV_V zFnZ`*jzYfPlKWC}?J4J_ectx$^wp!*?@*yYf=6YI@+|D-HTacQu9pUSrMCm>HRlnbEnJ zAGwlKn;#eMZP5s&C`U@6uAeT9 z_b25zZeRPtMY}KW`2DZ^Zmh1Xln?ZmeWsU8{h@)YGsd(xhT5p}n#coJYYPfVh-)w$VBzx3jB&&KPo zyb`az_Dam$oQs|ABXo_i$M!|pX)5FP=?CLWO%tVYSmb=s5%Q}1W%!j~Pv?Ym;;Xbh z3fLbRngS?ajlsbQ47e7Ccr$ki+Hdd0(&_@Bdog$WQfAoo7W*PsqVtUX9XEd1V;l;o z*6ZpvpaRo09`~u&!A|rsrsme1?rX$&b2eJ=^#-6yHgK|K894-FW}rdpv|rbUbN5LaOxgKui}!-bet6V#oz9eXu#N zr6|}`hP*1|iU>&MqbKytttu(anp;}6(#ptf>e_U^@m;4}%XR6xhRF{Bo1$(9HRF5` zHvE^xdnO3+QIWJ!Y1J<(;fz_1I^tM*%8&`ix0H!u+HL;*!h$aNp&|?EZ zbTiQ1fH+sJt2j>14x^`zGR1m#8tni}PC+06`Rp~TU$K;5Nl{)h`Ltd24Hh^bUd%WjAL&b zOZVNchr@K_wst5D0nb^p5nD2@W5s!?ST6vhN4A3@Ei^>?_)P)ldlits+jkx&Y4gONMqrgdMJE5W8s3VPo~Ndw$PJ&R<%CEHRx)-_Prcw7-4!Nn zKSjBpQqTQeKsLqA72H~`KGurn6xR1J=T{l?J_MykC3Q8Q=Q(4ksDhp88?NCu_xtVz zY&M#MF+F@e$Mv#~Z{PhTntvL*o4c`keFknLeMy3Q(X60V+kWY^bndtut zv~q-Oa@$ZnH#@s1E#y?qYiO$rFP(xH*yIcYZ7tGJn8_bJuGj4pe$JR%p5rXa2>?gq zQdwo(xYNah^`YF$+_RY8AGY;-@0r8YqGcoSMxUJJgUU5$jOjnad8bPUim)G2%3y8K|_Pd%mL$XD8Q@%huG z{B|DCUi-bwd%a@twGqEGcc8bXkiN2fbV z3Y*k}+#`#^hj)e|t*xyAA~({hGBq<3(*V2qYgghrWdOQ%pa^`tpnM%8Sp(tFOGs z`{(1iJI}^TFTNPBz4mH+_A{S}FMRHe_~I8nA76Nb*Ux`0zVP`s;xm9q%PTLw5YIh( zEAHHWCT;;XHMqxyM-r4?y>cZ+$4BCzdLGN|9Sq2>bPDJclIP4djL6EVc0;1{^eg9e zILWgGAa)_^cXIYC9a73a-fK*aj~a&xFdmtUR%;+?;DBnqmIliH5wc`+IW~9K)8J8O zWGEN+aGd!x;meZ%Md9u4m8mXE%eNE-$0BHU5Wm&saRTG z1aIyb|SJV*<4?U9y_nMj;?C|%p126^3_cF;+9-{ z5VEV)q42^i-iK!tYZn0s=`e^H_5{N zol5PZ-K|XITg_OYFheD>NMId6 z?71Gg^Nnv!%UVgydB%WwNp8l^_g<~VDv=6e1f)r*c?f(;e2P;D_GoFJ?L`>bDQ&vs z5Ni#<)m^Q|jc4w}7@*{`j=i1rc<=o`h~u78x#<8Dz=#5@n--@+^tyno&jWz(FjquykdrEuVv-=R*HDtn> zhSC0!7@*!Khi9=3@Y~qh&n@bBK-2(Et=4!90W_Q47#%0ji1fxkL9xOyJ?AJf(;*2o z1(=mu55g0p$~>+qfHjH$qzKz1UiWwQVrykB_BXM-0iP2iV{zr$OkBM&6$2QH${%Hh zv7mH}@HBephi?0w_9_p0c((ibI*Z_#)e+d^{a124F6;RA`@fV*e0yUz)*o#q&*=3? zo}zAoa1Xs4PJ{O%&$^N98aW%=JF#s5zZN*>=a!YwnOMZIhn$tL?Tl>&qrlJ#J#2bQ zRPKf^7`7y%r`Mf+ke)Pz{L;AYW^EvM3o(3WV`mv!Ue8>cGh_2HJ3b#1Lz9gEaP&6- zl(kyY*1_>XY$K}=?0dkftJQm;ee2oo+K+|9@5Yne@5bKI7WEN8C{vt)fj${$Wr#-s zCCU`#i@a2LOkVXp!#c}k9;O?3n2CYVD8K%=ywXgee8-}!x~CRQtnc8 z>Xg1?;d=^wq4!dml9^CwgZ<-fGsV++8ZX@VGS9R>F7NpISAReAXqJUaC8I+cBJ{a2 zy7P1MVIp(;-dwu&fmt-%Xd;uAb6(M}7H z;<@MV#ESw$USECXrFh|m=i<5No{eX2-2{Nnq~}tg>@>LG)w=8PbkR>5eAb_~d87=5 zJ~HeKJ~GVC)J~>W>d>t^LPKutU^^b|ug98zl0K2T0_U_G}358 z9&(@5J=EWO@A7OZUeBrR8yXzU#X*@%lscPR6NwQ+joujM`nei%e)wt}!_!MkPg9?b zjgDea7TjQ3yv@yx_}owZ^FI=7c3r!E>w+E2@zICxU%dO_$G`oz{#yL%ul=LKsTW1& z{^b1+elG9**m?DnJy^cPbA9YSH%g z3LYqc-wJ{tK|6xRxJP3{PZ6-WwG`U@fLEvAv@lH1GceSMf9>D=QcO&b#MWNf{>}ZI z+eg}@C~W{@ZrOwaFd)6J0%1aw#&%{pjMCs_MxKll_)Gzb zH1vFlt=Xt%3Yv42w@f_F0Ixn?ifhl_j4Ri%py-34!NRb59*wJ8TU(CZgG~hdPR6`R zo`PhW4$~Llp(UD%9YWS1kXh2hDVU+odf3d*Xy}0E0rZtbYD$Kjx^3&JEYs-LQ%|RY z&r~E08 zbo$&>M>6#C$`S$$1x9_0&v9I|fT>7X?R{`?A!PW>bppyVErYOu2J`}{$TMb?^M~ry zn4?Xjr`-smvsl>NkB!5v*f>}z^vk`xpWa3L%9YP80Oq*6eKe>iirMTC>zli=ytYpDej!sl9KRX5)#sD`7q!gU4gmv3Y z_wnxQu4H2H*@@|#-Wq7t8S9hSYVQJ;S2IcU=FS#onFEw&Tg0%dx+VJcHhBx8Sl{Po|4{jDf2#P`&4I z2>5q=jn{R>zeYSd2037#LYsj0YEw1g^qcMLL5@I2477A24Qg!Y!9F&&9eOa1Q<;#{ zXUGN5ZDP!h_K!s^DjB!Ejp9^pP7F=a?^6ki1xM!Z^ErB7-Dh1ORR?@dPhMqAhLd*m zn4VV{@A`VIAAJzJhX%4JwFWnq86p2V)GLr1P|7El>8yt2BQ^3ZdnVZGt< zp1E2Do*L7FA9YXaahloBZv%rvIUO$uGu&-`c_kJe+|Ma@@8_bIHSWE+v7X*JXW2|$ zWSu0cZe)*}1hjIyR^$_)RM1$QBg*az8sM|w5r7pTT+Ztg;oIMHn)=wvzI7+?aN_heMHvP7XY;-}Y?Gt2^reBLKWX*#I_s~^+5EY` z`*-8+J9jfp%IPtKLNN_dDSQW*bBd!dqlMw5@twgc1Lp8_UcbMjH}2vbL4g8rcnE6< z1=Drjjj%=0OFSqFiO8)h`%DI}m<1rV+b0aJv6omM2;w8^qNmkq=xG$r1jDrLJsLVHEHoHLV%WcQvmo)^rV@o?!h!oY@Q9 zv(%%f5E=xmb!@$iRW)`cyBY?S&^;8C0%vNQ&SwQiCpVc^k%#rPsVSIwlWogC`qyVu zSC2kQgK?sJqZ?55>(4_LHn??@-98VIktjTr*Kf<^jB5H#QAz5^`0A7lrhBueT5z8 zt0WbWdXn5qu~}_I1tn%G4yRHTw9=RNE<(_lBjap#V;wMMsE5>WtDa-xnGbBsc@nLLjv`wA_+2X;_^>m&WCBIbtz} zq07AlH4**Uk`=!=?Z zeQMmlT8vBgNmuRXN=n+3dFI?v1fD;Kw}${T&s@C`&)>ci*XOUq=*UnCY(elbyuP`$ z8%ryTv4ik!wkk0;GZ+(dqcJow5={&>1`^sn0w^7(U>Ah*^q82q+?dU8-u*dvyDJVh zk79RuKf{BJ=iS-dN}A}Rub`GRT)L5~rx?KpTYJ&oGeZRQ2yJL&8v>N=N47a7u7WA_ zqjye4$HVj-Qj~!jIu&V4!y87IPErALTHy!7Fig8rOIg07C;bFP4?q|mboHq_2pz@p z)^aRuJdK@$EzZ+3cN*2cMogdthx$iSW^C+jL{|;Nw!R!I?f2v0cn4Xk*OLcdOfmah z>6{MZ3K-#g`v+!1IN2F>#X9xev5{$<8Vz)-+~@q%<;>KtXS?NN4Re{d~d zmcmhFyA-FVQ+?vJc>_LfqD)({TRH}U!BpNl(po{bwfu5-TUOrpn!GsTaK zYm#n}h3ZY?e+?mVyGKE(x_uws-&|YISBK58822r|`@QePy?5S z8hhz?nP~t(d;|`8g0a553s{6d1(C`LRr+V*X1OCex zS1^UMzj`#y!FzUcNPig?cNSOCN8`1TsJ13B;N2d%om1#8X4L_=57=~@P<7eozx-!% zOVS^9bUd3yEBzRUVDdyyp+fLuP^q$#c?&asy3j0&LgACru_`Qj_$&&APAMKEnVRPT zT(sQxcH6PBu>&wNXjXxOb$#sAF`a|}gcj)_>U4y11~l&Tdf;`GjlOt* z0!7r~Ig+91ztuDr$aWZ?2nc`>8G8nSs`IQQQtDyJ_6xKxz*Qa)k)O-ypL}my`6k;b zuqz<2c*L?VPyn7H_&5gu98*8268*saU?Ax&`{u&(DONuH%3T%LzB}IoJnH#@kje^j zJsk#?E6gBPh)aT#xYEPHZ`pqcIj7oXrea+cK;>^vUAj_R#_TAC9H$(&d@ASCUVd(aX;&QxrYJwhA^AaKd06pjl|tsc99vbZw$=wY%rL!Vh7>_nq;`nsJWzweP&M(?<#~ zb8nho({Yd{I|hue3aOk1vA(XXCTJs(sM7w?96O5`&$_pf5d&=E^%>lmDlw+>pPCY$$DIQb~j4<76mDE-*^Nuo#*GPvwkAte0EV zl1J!!-lyZ>kZ19mAqOftb1Uj`9~v0Nh!~IY!SRgIY{FB0+(s|;88Sl0g4;8WkIcl_ zz$D{dJXih0wdiVX#P;!h41N?Kqi;DmD^tnVs~A%}m-`hSN_3obDpd*svp__74vi>4 zvlwIYnletgDoFQ%$CJkoW8smnkK)n&2l4p9!+65$(}xdY>CwY@_`!$q!TayW6V7q*(!+<3;@$V& zqr975yhog~w6v59A=lSdkdKS8_=M{o+>0j|VH<}4Ht12AFO4aG%@Hf_>5X+&yI@#4 zR#r>5hO6nI=%l`qW+hiY3xbS`A8Zvv-Z)J|2?UyAuN`FH>W15Wt^hQ5lNV%t4=FuC zEZ+%=i{r@8=q*6GYeNJ%?g8&EO{W0Oo^Bl!UC8i0swf)KHI6t?q~!03J9a#8Klm0AQZus0Imov1h^92`oIJo zVd#@HaN0UR0WRF(#sFNd7cfwF19JsBCKGQ69uSt*9t2+RU<{26$Mm(USe9ckJU9@; z!vmR2);=kTx7TCm$%iocW^8sHM-An$+omPd#lF(3DI@#dxY`mptj7&-O?zcvV~J#N zy?uN8#j4XA92COs_SBaMrRsk^$*&W9Pi5)~)?zEK?mtTn9|( z!D{q1a_6h@F+BrUa#|$gHT6t!KRu8xG+IWmYsEkQ;G?LF4+SO#b#PG}<3+plN~<^( zYyw%moYJfd&fGC)k82^dysvFCX0cVP#3+0)7CkX|UImaxym|L-+(+m-RqOP%9s^^E zZ(O?)cW&N{adR$q>FuX4`F$V3s8p<08{E4Flj&8fLth9aK!>SmoL)6au+ObjsZYbj zPk;(%BaHFxgGZfuq`t{#w8fa|9RTjZE;PvVMu$e?+T7KcnVg0PhN2E2(~~D~S>JJ+ zLoD__gm#$z!zuK3437`T-24rI(hNe9`nli(P~qr0g?n;}fIT%^L&R9?R*vgs9e?{D z{##K!uSeHvckD0jBGdL`8zprB4^>V8deqaLs~Yc)@xEi-jj~eK7{-Du>8?@S83?eh z>^Cm<+?aQbKShf%;{y0Dl%7COaOX}%N1ShxW`LCm+g-_T%$MOA-Caj9JkTFw!xI=z z=3AwoP$&%)+*toO@~IvNN4v4Sxfn|utN9!~nZvCSKmDx9jN77>`;5yjfiCqA*UeMDj;PLuIoHi>-E6RT9zJUSgbCly6 zD7!nG(Z_evxcVgPDD41}KyAPCr|0$nz-X@EQ|QbX%NqPSJ9RCtU41#`rtcvC#?a{| zly9c9XmMpB-hJ@BSlL=ZSC>Uw-dpdm9^{>E>UXdgYXE&09%U#E4AIh)j4X9+NqcWI z4z@Sr1OutJyTrN=Ay@7Ia&L@07kvY_;>pt``sJKH8G}FEc;+~sJXwk-0CGLU|Kb1f zKaSTv_r)BOA3QqK=sz~t{OfgjwzYl zg%KwVhE~1jl$Fw_G16a&@qSl+oyYQq`-8&ljCaOj$laV<2T>;1uqm@+!cK4$Zz5m$N86YJb7|Ae);GBvzQ;Ai+ZC!?jaDj=of43)?d~=J-HVKf#au#Sy1zdM%-Z)%O7TmdIW3yVzsSNwpc)0Xh(4W$eN>y*Fd&v&9`eSWrIR;SD zPCc7E+0~e7*>g|53RYO*x3RT>aDN=Tw8QC|vw?c-wD+P_H>M872h*EY!)Y8>xm#DK ziB+`yfHLXQ5KXXE6XalsA>D%Z^7X>+`1+itkw*XFqxL28 zsDN>5HAbQ_I2<*Mn?BCda5-$FlmP7-j{Ws!j+@{K*1#wNfOXgCK8y^M;4$Z`NSn=} zOpT-mQ5le%4D{^A2YX+ON88^)7PUDI*`SPMjO8)MT=5~`%a9}*A#at#x@*MpdxA~) zj&F1JfO9%CW2qaUVSkryoH`e5`YeG&9_eflyi)ky>*Z+yJO6l+&n{_=>VnL^CUV(T z=Y!}P<1+ydb}+ZeSsT4-07+x$PU_{jGTL(MK^e>w=qGIYmA(VV=!;m?Cd+@oBvM)?4w` z+wa6WvdQUH<-!u6#+ei|Yv@!F$n9Y8uWxQ-KROO`b93>tKl_*B%U}L-%*;&FPRBFi z(Srx^dtdpjc=X|i$iwk?=Gi+jIe|Hx`U!c&7{BxO+wliqhrR$hJ1!oAkknDqO$GUx zUO)^cGXt!-@|x$Tyh1NmF@pQiiNixfl)(gK@4bI7);BOvkjH6yd)AF6tPMVQ4 zoM01~tYgD40dANfNjh#00QN3+906R;PMT)v^_ZQ$9<7!bz>Fn*DTAM`KaQ_|?+;>g zXCnCU!TL;}GC{ezuR?QIDU-bfXf_ zV0g_8y&T7tiC9@$$=NSAlo&ww>>eCt&eP3xKq}As5C5b8bG-h!pDe`l1IM2@X7d+* z@$binAAXRX^+z2l<^sgz8kLI#^Zmu|lcTtmP)$M75e$CLsg;yNMYuF-2x12uqEN_a z#b-{coI26_#yJ&*v8%BWZ+veZ6g(=}Q95^uPW1EI9t6m!PfZQQ&D&E5{Nvb$c=sTT z+zt~(mpKc$UV*E{q+)etnN_y_S}>`+_`O%*V|%Ha-b#V8jngyWVAznHdgfa}hxHZY zNo?j>Ja;M!hB(L+d6n z+HdCaqB2)4iPnd0xIR(ZFQTwwS;hS4gQp&DH^eKM{*150X!-kg6oiWU>vK{<$ z1Yy?R=ttq1GNcQocH_>A5ccKe+1!Ka9^d_LDi3#8*`&VbDl6Kng)Pv~aIoTfEb|XO zcdA#xWt*jKi;P*6ob*@v-NVoJpDoTQHW!#*g zjqx1<9GSCh5Gy*zR$5384r9o(yjH7tV|^{w*Vdv3uy%yd?bLN&!vOj(@kSUe05a?5 z*tp%9Mvz9$G2k&lAY+wNq!4t=#W~PQ73pU>Au0%e^~MOoWD*O05@9q3{S6P8j2#e3 zbIfyVNQNG_zRc?JbC6T^cu zF*-OIty({WdXB}ugRtF*?e(QtUAiCbeG~%sE3t9{O{eJOmCHN6@!rp88#foXVtr*b zwy4tYEbGu8m4_hC;p&Q>6v>- zmC|e3t%R|F*EM{UM`zsc45e~(>P{kCfP3n&xfGill+9HPoD~fAh1l3$P1%LoDt)Qa zL}u1%Eo2gMNuUWR%LNyZ(9ZcCIWivRBGi5=LoIJgG>CPddV3w3Np#Q*H|1tj+i+8%GIm!Xa3Beji3JMe=f!+ChRTR z-kp5#2fzE3^k@n+hepP@t`a6t*ZW5|ByX$$Y~TCfek?Ap6@A4oC;Z?{W@fBV9#VAZ zI0LD^vd+eHYCst4tNg7YE1kMePblMTtmx?QNK8#k0y3uoo8z=`IA;^<$V#W~jkh#R zK-;cbMJG206KFQZFx=)xVhv+0X;7mI8dYb?caC9$=jV(eGDjLLMwK)K0rM&kX*A}- zCur=*czn(o9hr!+k$GhD73#}#0J4U-pdjMlWG_~?mg2)FALW=i3zd2q#t?((h0hHJ zsI#v*E1>+ZYqTRDp~n-a(0P_JvAgReD#(WZT33t%e#g6Q;~YAs#QD3}wQ0O2&t6_Fb3fA4N-6vd9}ywA@ZkWV%&1&D=?wBsZi!Ik?) zn~EX}!o*kIyGc}>TYy^UKydJXFM>&zviHs%ejuzICxo9uN18I&yVBPMacE7eq-1zK zn!ParG0hHYh4;i3y|?a`m)y61pc>CUI~6+&#`Ycq1A`d%qf1`FW}v();w9XD0IAGj z3lReaeDF3`#3P%4Vt@$h!*_Z#1sD=tS$(Il`@~aL`l__eSgiB?<6OLAZq4E0sW{v_ zj?sy!bafA8dWKqBR`#ERt#y_0KZnNkAP8afTp>?K7>DVR?tPx=b4wV2oBtz(xkq}5 zX>)pBsgF!~eB^YSKo)_@t2HdsM`fzEe7^Ah@j(M1;{o|aVW2Q|pX>(AueYeHHWb&N zec@8UrrY8zJ$Mhn)Eyfz+ZOdU4{N91E}$^YNisS0MeDA6?{$~nZdw&r%=JLFrjx7pjn451)DjIB>lq+ z9^Tj3Fg+>j8*7;;y|-CISlJ#eb*In~PK-_Q7(s{7xrgo11K}7s#?orm8-V2$N&_I; zKp0hNWA6!VQ2BF>7{}d@Op-0X^_=BoWVt8j3RIjfR0&k-{q%wP2M|8cmIBV_M7Q4j z(l1>IuX^1TsZ{{J{pR(CcL-YGr3>I}jMw(&4nombHEES`;Wy9S2eh;U+U{|xif14Q z&nmzL`g3~rO5D78C+23c_?u%1iUh>x$cL@vrFiiEdvWjGH{-qUeKX#B>pSt?H@^{& z9()ihi;u9#mjI#b$dHrhAG*BMTpr)N`wQ^cNp7#Vdrp7UkX60V3M6w5&~a5QOqz6R zOsd{9*OK#S9GC@~@){q(=|EnVE`6hT|weQswLC@+!UN41|D`-^w|K7M1fI zZ)Ult)9eCG-zlM;SyC<+eImaWpea2=i!K7f7&SgqPo_Hp2{iR`3N%GE(x9{{t?mON z>zbB@Ra{-8YL)joNK!+(qtssTp^7V%nkBj%7_XFj#cm5jn zx?He%_nmjqtwjesS$G@^PoHKE&CXhlon7N_y8wkFarOH3xPJ3y+_-TgCMTy7xC!oZ zI-TNzmT^Gb^Dn#v$oz7=@x~juU8F`3x5&88?|u85>DkPlk7@4?XFuqIo)p`Uheh!+COIJZ1rrrfiy- z!YD^f@i#oEd;Wi`z0d7j28`kbokv^hg) zwj1ZMezphDZPQ=S4ZNC;3+PUOsobUGVrgv!o^2z4s|kkfTZlU`kaB20*Il5~;b|Yx z?*g5%S?Yd07X~$5ILx)`?*sUHb$cb&ch_QdeK~1g`LCXnj*48}%jbDtag4Je>g(KI zw!f9nG*SH6S%b}=|An7Rizhub3|0Y+pMXd~V*!puPzW+J#^^#&sGuE$vLFWmpwK`W3ug4H zsigeuIWnvb@x9D%BVA3Z+g#yP?wQTaQ~5fDf%!I@bXbjN57jF%j*=cgK~l-wL1x1R zM7+W`F*FF+d}a~=dKeopklsHDDTNM);;+ADd<4pm`)eI}I8AQ-eR}Tv!-+r?^GWAg zA_u$(Km~0H1h)PKES5G|aRu%vAhs6)S82f{u1fA3(Tl_63=PO4lN6uGBI$r7ZrQaN5$I8Bu7P9{xcNHbYVQke(T#nQ9 ze&;krndXxi0B{Hh^P74Yt9c60FeT7H%ea|Q6nIhI(v-#LIc9=>W9i(Pqo>O6TG-ss z9B-u#0$%G>gmK}M(hikuuDGPFPRkd*)9YTm{|&~x4k+wBm!6nFew?SRuy$_G1=+j3D1>+yjiu-Gg0Z)n+VjuToZG z6@a+Bvl@#V%Y0so4R~Oyy^|}++km1&ihT}M!LQH;bRgI_w;qTVqGa4tRur1g$HOP4 z*iu=UMyXTrn0*x=V0{z}p09K4^a@*4iH>Ad|PG8HKWRSpXj&xk}JfbV8x? z!baXrPhtU;%JtMA6zSIM$~gi}4Ql15@~oWe{gku$JkRF81hSMuXYw%5G@;YQN^^?~ zfpSNnz5$+x5~of+D}g3`(@rCPo7Y{sN#jYtijF!j@tH0JGKs$VFnxA{!)$jsHw{<& zs8l73hcDk>9CNSz;pMY;{`Ks)%RF4jV@QGquW^)nF8INiR`05#mX=oH{{08Bw7g0` zobp{G#>OXN7BF}7nP=k0O@QarbgnX&XJ`2S^Pm5GJoo(boLh&MkD-&Us#^g z!Tn6TWjvy(mhOM_Q9gTmdJ;pRWDwEFSlikFTp2>PThGERKN05UfmDqzmoH27&OW9p`sf5}Y2Cz#z-FeB_(vP=?r2S>vOTZ()TQ^sO zE6c=AZssyOeJfX?8xt+qQ@*IK8QjbLAehwkQM4^9HUd_PBZHX za;5q{gm*|CuFZ|c)hnZb&@zplI}up{glpD=|LZjq7ke$j12C19!nKfIaZ>H zn4J!8LnNmNJeByq>7b4P{D6_n?Zr8!jd3xI06|fv;KFfn820aTzOrgU3zo*NdE&&DFY~oIs(ZQBIjMzxcS_RF@g}ftm6W&td_McB1AsIw8cL^_-^GJ->UVy_Gwk8J_p_h<6y43cGzbp6droA}ZSv4_o$;6Fb#x51WChXISMVu#bo$;lX$&fC z4Drx1t#N&o>nbO-$LVi)S$-BU3UtiJsj^R=;y$Ml1&SkpRJTQRpzG;{KG$v*WdU~+`0QOx3t^Y zardPXYG9veaJ9F0=+`a!r$2u3Xa8FE>qQ;keDBxjQ;a(L>kNKlWU_7@_j7KWVq}kc zc4CLIZ}06y8{nu?F_d5%@UyGN@vlZKifOTa6z{l&2S3Pigm!}GlOq`z{B;KK6 zXbi6TT^S-Ukvm>t+>RQvsEiZ9F{1JX3g;AHDz8_DD=|Gj6O&_;7)VY%0@|P>4Y#dW zjtBd1#OA>R+T&_hpW(v`j|jNrC%Gu)C2}Jr3vxy3N}5aH$#=%WYkH1~a=(0Ltru8U#$dD6S)+f*eU;;MXUGD9^U1MHDu}f zWwrWvTwZuCrY0|Ctfrn~of3u>xm(b7x0P~1AZx!SC92LWW)%VT%fZ5_KbO2O!q&LN5AXmmp;xIaM_#BO~O9P>VfwwOtP?=Tqi<=68+ zxrV~^#;aPmjeGQtx_E|h;=Ki|UEIOYq*qh1r!esKwnw1u)J4Yf0GfK9OzZd2cov}T zcMtm{xADsBpdXm9cRoEZTwg#U1`T~KAoM-H(=kYoAO8drQd5E@1gA9Y01ls9syVJ4 zKF@b6EOJ*DEK=iVr2%=y9ZF1ZVc3SXQix?0I$D3`G>V_-7S7URh6)ncz zgxYSUs{x%ZV~RAZ>@6N<`p%*2SMCa$jHBDhG06P6$fh*-kCdqc(Ew=9P0q*c^g_&F z6pp*vR^tWPY5q?h6OEBZOu5?JU4!ao#Au`;+v*2s9=;x%`}YB2WwAyYWsImiVO^w4 z=}4nYS;2{io8As|;rr5pL=Rvn#)AJ;9PH(6$ z))Qts;|zZ5Z$@QsJgV*nG&COW)n6H&L`KzlpUKio*o?D4*Mx#&} zpxjN_`$IT##rDW(%+Aim!rVemN!I`yN6?ZfjD|AS+*r+s<)tU_?Ki#^zxf-#9{=Ef z_y_T;zxHeKr+@l-Y(dk5$c9Bg$il(`hRLre3&x~#!mVyW7NL``25bh z@4};p)S*h>m2p%)NFPqeU%Grbt^iz}3T`7))>|!#i+d@po!G>X+-!GZgW~tqt?gLl z_cpSlA6atg@?!kx7hj7X{rqR+()8W1W>!UNyk|l zFBCzdYau2t&Bj@C2xAZ<1Vt&R6y&+!4l*cwq(O~w+rfx5Rhu47v%#cZS2oiwvxT@t zq*L0tmm`9dQVQkmYGiH#0Pw0cAlS9Mek(GxDe0wrKXQ%jXKgt{GAZbu$ z%2_>%8^*ZMC)>hx=E=3bE+E|MVo>nxVa9Ys-WX{zy#1LOLm(_{kPpRvB|MCF!izm# z|3Qah=@T6ppXC$=OfORA<3rGB(dg_ISn&H6ZcZXS|Hy;OsSFk8nJ$PxVfN%hvx5kLhX->JW`;!Vi4NUOYN8^fb&NgP==%p9z7=Ya9mY3$+WhS-vpvP zuF>rEx|ps znzY4xa&eI0jPZ4E?*r(^XBvdBm)S(aDO{vO=t@N^81`8?qmV*`I%Yc%?!I5|A!t(@ z*szU(vmt2mG`2Rj;sB!zqDdait;_ZSg{JE;E{C=aA^eU`hUs5pK@CKA{H-sTH5I9V z+TE|9C3w+Yy`28dm^bRIM==G|IT(?i6t=|+g%tCXzY`#y7imd4whh+HJ=Oc^A1D$z z5V0`Xh?lNki68syr{d@T!=H*@_>X=z{_;rYym6O=FPcgWL8P2(z?RBI#`dX`fSWjUW&Qt#h99!iwb?(?q5luxpnZQj4AZx zQ9K=fF9t-?wgkkd|2&j0xiE{8#s>Fm%(&gCk4awOv(T^dPFnJBPx@r9@&EFm-hOGy zR}{G=I58Bcug`1@W>FYRpjj1gjtVlJHZSS0)MeJQ$Y&P;wWH%AGWSzfu2MHc1CCC+ zvAe&O)8|}GeVifjz0yyS6*7u+B}h4t2WeXt_)6ozS+!iCX+i&F$P*>g@-QwIw}kzu zz(161^aUTe;A(Ir+)%|8<0f=(GVVk4$=2oyWs`m!&eT4p*I9bv#e)=bWEI$A0r!bysu?^{m%2gc+ ze(GqDK8N9}8=rbQnsbvm#!gS`TuG-5^d!!3GnVo3Cf7Sf55GDEE`er!owd;r;z!!< z%uUg|f;y+r0pRtSs8`{A?n}o9r8x19p~c-;GtcM7W@C1Q65Q}4#n5>O30LQVs!$6#%L{Eofr;DIKnWpuN1u78;G@Vv0 z%C0}fg;PyhDt2TK9F)#Oxp7Ter~(lyLE{7!#k*xovA7VF3fWv;dk$u#sT8ENSpkz% zx%QdwaB7Qdi;zQk($+!hFOj(CsY!Hm+d6?J?^m#v&+^XVZS~C%raQ4zO$1$K;EiXs z94ELGlt^eQds`);>H7AZ3c&gafI9|bQ~z8zM4c3rT0vQV-c!^BZ?p~e9rxPwUKvhd6s>sXET%UO5==|=_*XfZ=8%w$R#-qtf&1HYq|fpA4}ft6DMP6bTpr9zh!^& z&$?J&g@>yMyB&kl6(Q6Ug{9$?G?sOdy9#ae=sD|7$?@Xg^m%*rS^_vJCPH=(ooU;atHe`b-j3aso!Dobl|gPht4!77HaR*GSI4i#(^EI%>eTg^8Jmmh zNZk>SLzJW8Gy51FCwedVum2Q!(BeOak^nPOhv~3Pw`HHXaX`QM07sy64D+D|#>4Po zY#eUH^6px!?{7!vc%Shbjmfe3c;@me@tNnp9G`me3vvD0b1^f!7=4WKgYJ9r?)D$T zXOEMgauy1nP!6Q5O*yC`4qYKfGES4RE8!W=b~v*lO-rfp1XWgsO1Zt&+WsbBEQ=ob z%XaxhezSO8dK9y_@~7k-`_?QZgMA|?@RFe273bBVag@8eTItOk%{rv)qMq(Qt@nO! z4={A7BBe8-`(xvbFQr z@%-~IWQdS^gbOrXZ{gnB%9nc|ydPcUoAH}IcN|{6e*IcJ|J-x%wCRreVzado+uJSr znf^QnIVOWw2GqyKW8u=Jc;(ekXG$j19gU6Yb#DS*$6|KjQaty<3-S3ceKG#xU-}Q? zFa6wKikDt~F{iq3-o6`u{LMGw>uT)?AD6){z^PV8prfMWGqoMEM~|W* zMADrz4(VJ#U+6UOFm83MIUSAKMD8r-jF^0+j&KUSv%eE7>npJe*fg#+^#LVy756LK z^jNAxig(;tcnncvE?rGdUmmKT4gv2NSw%+-q_NuI-Uj?~8nu+W^2hK9=j$$>>&IZ- ziw@(aZj*o1Rq43n-9PB~OYFxAAA6z6#(h#TBqDpRD#Je)y;P*KkO$(aM}Cr z?`2^T_o?_O#rmbiS$qphRpCVk_Lz5{#<_UMe3<6h_2Js3= z49cxSq!LM)4(|*1px!^&0c-)t#fIh)B&xL{uA@k4n*tb4kFPUSUAkIFM&~x~(fDn+weH9v5i>IFd zR7_mp0-@GUE8ckT^%UB&o+(y5q%m5Mg2A@f{vMF@=>4t2`1m=G9tbU78$a!flN3BM zvU|&GfGBwMC@MTUSoNkNQkd%XH9w*&zulAG9A^!LWfkG&R7-lyxu0q!&Aack)90oG zacY`dlN>c3WN>@g^Tqh^Pw2;Sklyn-3Ya2z1eyE?Z=PY?4MZKBN%|PFAxEQG3&;vj{5r{iZ z`O*jLTV+r8_4T#bZfz!jHU3I|F?2;b&DbXD?g%MVdme%WpcDnQ{bMY$!S#AsE+hP1 z(Q2+Z6`bddCvq|06iR1dW-6{O%*4}I=HjW#^Kor)Hm=Og#O%~~u3W8fz3*`G+Ry&w zze!JB-0}N=`u~chyKAwz)JDlbFPt0D8;s$ok*SAI`Kp+6>df4_#$L{Y(cr&NA9_AtfhOc_Yd)W<0&8&(;&GC!SShH?^;aM zX5-r2^YPrZSK`GRug0_2UX1yfg?z^DX(v9|{#LxV@rSXo{~(Q9sWIgmN1;XD5B(`? z1(wo^-s{Y6AZ^+%iP`^iz5LWG*4NL%2lAqFm!~671cyG;pIu0%+_i%WuVU)Jk7d?E zy;2F&8Rcs8jL!sU0y<4(@BZd8QyPr$jK;T9GK6Ci9j?Ja=zb^0PkD*oBQz;%(7hJ_&^G(Ek?KlU?!3Gjcp5YP7bd_8AR1hRX=0QjB|5Vg`lPLu$x}X&(xq3P~1_8jQKvBS>g4G3ls8m2H3m@0gHj&B>qlCSB`=RKx9a@sES2)ry+(}!s&dW5s zEzp}~td95g0QhhpfRZ`}gI}L$Mq_d+SAW*42+N9#gG$avm9zo7U99laDBdHdR2A}> zHpdR3he|e&iuV@D~N)xZ7Hv zpPmQ)athRIE3~=Vk77gEKlQ>Z7Ya7F0h@2$`gYcns^u8i)?9rn7-wu`Ooc%RDcF=|dI87T+c(&Q0!)Dx{&b8BraPPok##g1QZ%0i*m3(od@F4{V;x56rg8P6)?lr>7g z*>Ktmny5hL2W|Na06>l1_ALdU)Ak6Uvg+KpqEUEh2;&ZmJa<$91i}{@X(tHgGeG44 zV1*_D_TZbr(_AgR)pnoWtyrP{2I(76TOS}imzGg( z?G%tDHzc|V6y;NT=6N;H@R}XQIGMl1|V}XF3r!z z^-J@B&xLpzC3byrE@Qu5{Opg@M;CYet8e^+SY6%D*wq}(5oiFg**A*Jz+f31racVU zK47PFw3|C4Y4D7VjKxfKIwnx|HGscCL;cXC@#~op!?9$XM_p8f%#eRiIX}QNhepj3 z!gYKvD`1szGJ@XuYE0KJ$1@9`iWjfH8ZSKcGT{7rOpi}xe6hyu>dsQ!-+d$Qw7(YH z`%CZ^G!FF@esX;LOFAsFQKKs5A9YJlChzjnoC>#|{H@_$3?|36$P|B99zp6TY(Sxp zPdb)Qlt;=|s9s*Pv3!x<)fZ={gE8DM$Q%P))}u1OcR;4e+J^>^N||A#2Q<+S$b9o- z8l!2fnr(r@`6tj+kL;pH01js^d{PEd-xM;c zKMhi+(N|ZOGtcJq!eZ3ilmK3zebK0bI(1CL0QiokRCmH6n6lax8MID z7dCHiyU+;%$RH*CB@OCe0TfdgSAy&HGkho=VR>DD%$}!4aVV?i94Py_%U4OnK;zg1#@OwBgBIQvycl&~~4x&XDKz1dr*I!_eGwo7LT&d^Z;` z#-=DH4)wqjg!dv)DxRGp_j4BwhLwi6kg+_iBKw~N3#Pd$IeDv9ymax>lZds}^b%mv zdkvMg9Uc;ez`*wT?#hTOBw;0f)`Mfh?LMkdhbU@e6H!;G)Bu|dx*o6uo76L7CXTv1 zuS~agcL1BnLuK$jVAW6ox8)LmyNF9dJ?5Onew8_70FN9u+9S{`&p%C9xgI*Fh>L(# znG~;sEpbY-0BP?p{p|1l?P17$6;;?j2-tk_V!>t`M*7a}xA@irj>R)6-DF$Ng@a>} zq(!~cD@{XG!1j^jV==Xc=WLg$uSyJNX{Ab7FOmW8zC_`nWjT;a7Y66=;w?sb?jOb8 z_AUmR9=OrWbLOhV^x*OS;yE?Z8Z@Xqg21a*bJhOIh`?(dK=w}&Rl}VExR4$0N`@(cm()R zgZAAG#3>;9f>#*})Q1(WfTAm*FV3Ny+W>t%nYl7_eJ$GUodo3?OAV)|CdOj4RznG$ z#M0_|+<&wZcOS0ClhrN$-iUio*5dvX&Ocd+5AHmOn;+bbTX*iqy@yKx(~Vqp>Z*V7 zvw$iWp)n4QVYZ$BW!$tyB`Nr%Z%gW_YEF^4z@<0+zBoSTh6xZOD;lkS)vz5Fk%_2LXsqWDMinEhjo7MqNZr?dxYi3ScL7wuauHsjQ z&|Y_T60phxC4OFcEND7{9$mzyCwnB^nsIjGay)zKN8-h+uf~l_H)3vTmhr+cXM8(5 zo3Xy}1fcmOmgC)cy!S?Q4%dpzR&K~A5`=x9GzqruYYw|pcnf(`ADKu`X3a7>nN#TlDA4rA z=li|h_{?rjo9_cQ4WrUn?|C%$k6m!tO3-O01>0ruUZ?L%9DR|M@}+!RWC*L8zG_Tz&q>fAWoZ z>#esE(3)<@t~BMJvN|0g+++Wmhf^)m+!tvBQ0 zgNK>B*Sx<1BLS-p1a+n~D-B9}9+I%ncNR(yqq9|dI$hIXdZnCgY`}ZSjnUagbSr1k z21xpTy?)BZZFK>MVJnl=PY`Jvbv8LgFGGtFl-IrI3NUle_XM4NnbvJ__Nkbkz7C(y z(QnR9jv&waqqDyoYwcAO8hU4EEA^4H9`=uQ7F_C#Fi+?H9&}Ax1)lCWG&VgI4f^Py z+lk%wW}E_41-qtY8sT}hk<(}*e=d*A$MQ0L(1*;%n5S~*#%mSYA4!j}X|c)%4{!)= zTSGSeB!-4Y#`in^++g#UfB7H9&0Dw9k`zehbalqn@Ha1(!SwzmD5Gcz_LxS6U#wt0 z7zktr1Fo+SE|&9y3q~Bj5o-hI>;`Iz0n%Q2D_@ zV=BwJ^dVTE1PK}k5|Dz3U-(;r=zA4Hdi_cgb$|iXSAangtXjusd&kfYmJpzKpl>K< zr(I=7ooa4NRZk@{GV01e<7LXOKf334++u2PC&4UQHFps)CTD`T>D^2qXci0;_m*yvM#gJ>sp~rkZc^az z+ZgXLFZwWwc>vHNcy-#`mCy2y&Xe>ORvQ>CRX~cKgIc(HGCeEuhad@F8Nxy`^8l2F zfk&OUHvyRIfWox|;K~8x1ob}X{m_eHsxeo8yVczKI@WPlVa^!ojTEG0KSp%ugROQa zTAlK_w%+2o03Y}~7fjI}y&T4YI$dNOXv!Ii^eF!E@YzYE^o?VavDN}Iz~?Z4%iTjN z^>KvY_n-dx|JCu&|K$Hkf1g4FRTKbx-mE8ZE(7ckQ{NnCc#is-$lo+r#!Bfqww;F< z1s#CW&fyNm^HE-#^u+bf{3NjBS?RgqZ*6B~sD`&jkBQ7@Y4_9fFU9=iB@ADuA`PQ3 zx&CIfx7O%;42ClR{_w+CKY2I0$E^Z1v!Ni`2ndu#yf0UC12p^l1loX0+GLDob$E>SG-;~} zvS(QOe&xVTjtI@aeCE+<;pa5SJ7WQBI(ois#nx^8Jj7+C5e^x zcof}N;;NHR^WFdMVqbbqDcpblz4!Z9Uimxp+XaKoM~~AXVZ8YvGR_ob^0a+#{zv)R z7|E&W$+&jyddx1&CtrDuGR%xM8k^Q%N6OCDdfa*Yjo8D0Hk_lqvlFks@kYFR^EP8J z7$!`=3z&TmZ1L{RTluM1()e!EZ8`SJJNadL((p0>-PB~hFDV1C^#CCI_M30S&71GW z`q~C#bB6vbGlTMmbe7>ev_<-KJk{nt+jhDwHsqGq^}#1CWR0^l$`iw$#xPRHW+&od zcRkwXu;rZs*qpthU(_*{V;wsfh%TZs<&nm2ZZl0?U3}>bTgGi7dyShk1(ASLujbUm zY%I>*h?&VNfao#wK6=7_r4rj6jCsJOxtEt#mY}~f^Ja*Fvr$%5Jzs$4LF#4stqxGO zh$HlB9_%7Bd?(n(j5vtrs1F^*CBtY==i}D>4mzL;7MY?y)Oi@}$V(TwnM$sgW7F|4 zyXh&s{IfszALcC4_dEXFVDlgS@;{7Q5CUufAu$Rm0c19c0|hfGD04xAg~sSUw_P$iQ1(kRHm)5Qx7D!Br6`gLLdZ zN^TRv=s>hqrtJD6p-D7lHI;P=gu9F~6cy@aj!38fN2`6&m>-QU1B3dc5$3=2-ZIsk zu{r$HIyUwwl@<-v)0oyU1Ey7>H_I5v6h_oTK<3~WJgbtE=>!7;0S74sv(M$9Q>%k+ z%P8gm^L;+o4e(X2?bceHpl}BVDzUx26T>H1?mTxN#dJa)eXo6? zmnXNM~B9+kXn>}*Rv=faU89_hje1I?O)rG zLWu7&vc=21-s}9^cpPK?wC-{`O(sXUs1RM`Vc+d{5JL7hG&68I0F&>=^we}T9aAiJ zr&*+dqQLY*m+5drBw7HsJ%rE@Jkp1eRAL(sqJn_c_{lNiE!MTC#661QFNQ>VgQRrd8?T=i zjI3q@xzIbGG67zvUXx=rjLeakpzjuErt{gY?RI={=YG8Top0_Et;2H~Lb)e8Mtd&cgf0tcg>HFXbrd;U9j6ax zV{ZIv%!~mthiZWSPHeYU>9-B&Y&*BF>jGlCLp#x~Jc;$wyNq=^pO-)g`pajZ%R0fa zv|J2Qt0Nr>H2quICpdLBrzrSbHJpbau3W3UD$a_$Gv!lRG^9N8UFTz#ymCf=DC2ov zze(E15@43pMkZ-*a6hzr?){Wq^co8Q+=t#A#qMFwYkWEi697VA9v*k#L3cj_XnqK( zc{kN4Iz(giB>B{MzZ8|(P9EgdoRAkwKOt{;MkzkWf8}}Qx&HGv{&9Wpx9={}>}mYi zr~huYyQG+Dcu zQIrMy0IrpLAH>eaYC27nXYbs+8E=Clws-f@Nu#N|1nA1?HnMV8uOWcd*`tNoY4l(v z0ghf%$6v}2#JSGFH2}OoL%#=xo1O4Z2#LD52#oh~zO7@1;%-}F5<{QNi)>N13Vf%= z$K%T4d^Bqq_S|Dwl&j`n(eLW^8=8y{|O_8BN>XlX( zoU^-G4Er^c?xRB(AHl0U0?YGU3?)G?eQ#Dth&0890J2(j%S9Rph#aS~Qz(k*33vRUB#0c3 z`Khs3n4UmsOvJqVFk>-HVIg%u{m}{_b0p7=H);@}!bQ&^fDwXm*Pqc*z#ixQ zt-E^|ZHn;(Zg-a(^I(P2fWXlry?qN470EB~qqd0J?2~e&iH8wHdy?`noB0FS#U|Q;@_aUbl^11?k1k2X7TwXjAh9nrf%8z-kMnEc_yrd{{$EQl$ z`k{ZQBc6NpwU~k^FY3^<`R03X(!XUov3M60WPTO{q^ICYam*RL^XokP-RZgBbbFr5 z|Ig&eVDZ_~v;A-FY=c&NCSE?LFJ}Uz(F#{I5lq93 z^+^|Nc62OLftj*I zSs=iifd6wFIuwD5!o7K?F+>;U08A8x_{#cLym$M4+XrK6qf?h9EXLk&&PFeB>FEHZ2n`wru3K|ZTlAhe{_VQmj;nFgMZEhOU4;0A-G8T zgtnAtu4EN}%EQuObr|^o7|ED$fTsIe!lDV1k`DA{B0mf{njgPRzs^CU7}zML)wRdb z+E|X0gAO#S!YV-WV01rPBM)Nhn=g3F7_x>>Kcw}Z*`6{Z_=$swIEke zT;#fKMi%l84Okr$2@tuj?1JSry?*+$%lAJ@-~ITf{~qtZSg`s2d+%Z(Lld;$cIn_) zUt5i(rKNcI@L{Y2I$YRud8r$wEzVY~8bT`)+7jzu*VYt?e zGicIndaqx*9@nnA?>FOy?sM^tQ}NR?b8+qZQ<(^Uaefv$AEEEdVxtw4wDbO*?q0?s zrf#EXv<>&4#nas9s`eXCJry$;rtaRRtk#g%>*~Vh39!YLE0;5A{3YbbWV4xBHC+AP z5oA&v7|Bv8{9uT}uPI3QJ(~CJ{40FmoT~~(D`MphV?MVvRhMbZm-9amB(4nvIVlwI8Hf# zOnuym$P{tLRI010PN7duA@fH7(w*qgcTS}XaP^nftAjBPmYRYFFO5vmzm+&0X~Y%! z#l9Q?mk4U*Ps5+|YOb$uCLn(efcdFce*`=>9+$5_&Db>x@qEwG1Dk!P$G$Fna?#r)Hi=+b%gCD$9st5DSK4hc{{SK$s0IVIyW%M|(L=6FtT zZXWEUrE7g$P-NT6luADYD4i%E%l_FZtWYe1vMK=m6z0^E>B``#xyhJt8!6t~m{^FZ z*()(UJsac3x-|hP5SD$FmRe^s_IB3dpoN0!!&*7$#!34mc7ji+?ySl)>4Uv}1D3VW zAw=px4@75Y7vdR7WuzyTYNrx&uUq2!$lnTpWKiC{@4HSbQQ{cSg(eyRsq;1m|EpP zef3P`kMfT@E1JQPc=Gs4;er zhvVSbun&XQ=@a<$6d?>c&FOPveT>aq*<6Wr)1S}}hNKn5%;5I5GL{{s{e02QD*Gc}&8(yw1$h%56mF@upi-lX1hmtykepDy*dpyR*( zZ@!W;!}gp>cgjTiSlSXK4V+alKmksJD3cLnWuG1r zlR_V;xZE#yNXP?W@SieET9H{N>r=5fbp>$WNICLk`B5D4yy?2J@8igE#!r5zpT)-T z-Pk<2&og(E?=wa-t#QXdFa@o{`{|vh-j2JhW|DT5QyOr}U#`#TeSo6lX&V*AMMfeU zc}CBxDZq1@*6Wd2yvkW6t6mIXuQ_&)&oh+p;8=`i4$WFw1T@rye$)%Y={fbiDYM{* z1LHHHL*=z}<+Qm8?~OA)Fr^WndYv*sJG7XM6p#uwv!49LyVGGo;Rl|>JNQ=GDFC;4 zKfm&f(sr--?!)(c|Mwo{eDC<~-~ac&@Z0ECO~#8me)Cs;C03R&Lg>HEt*u9XZRd>CqdGZ@fm_Ly(ek}U zioY3>bg1El@G+dLRy9qWPXl-pTtQeHci)db z_+w&nl4lqB?~tk6+JNURz?QQsI!D|SUA)q1(Z0>ijFo=`m|kgZXGoJgL#)pHj z{MC5s3om3IXSg=`!nA`r5DWw8>H!AODuV|wHjIPsgHOi*V=4EjmjK+=;QQS+*PNw? z(X1ZIxoh(`;`!^J1zbOiOvND7kVOC6C(EssSZOcEy~lUr{)0OSo(1`)Q_^dX)J2|e z9_m>A2W2pM6n7sBp zptT)c-Z>0UWWH>8>kwStje0e`7po4aNmfob?j!kfkQk$5nK>w~7SGagLf*B4_U~w6LTSq;83czBi z+SV$+J7sO$hD0ZrQ&{REFCMZ&=z;(V%(hxG^$x$g-J9o43sphL5BYlD-$3Y(R-9^W zMgwNEUj*`kAO}^ZD$^RB7#g+S2XU~2g>^CzdwlOe>|o_o&c@7mpTb}7rfFu3Gs>w& zs#vBawCo)ZDnPqsuKZ08(7CWoV}N$}rwT`;n}p5qj{vzcD# z+1bgcVmL*08XXScc*6UybVz;@hW%!6RXn4qW z+ZCP0jKOEzZ=bu0+gQ$RiV7;d(2SS;D}Yx~xrol4E;LZrsmG%ytMT@&d+{gVdN=;$ z+waC(@7<1DckV@p_ka3}Kb3uXQO9rni~mO)D+8(D8Ex;Q4kz@7UXcE?0l+6?un#T5 zgL>UgPxo_7hXsSk9cj+3X{9&g$cu*#`sm|1{8JX$S8}s-n4t{NQER)EG?zRsZ9^}O z(HelYk@Y$jY&B1#U40xIM|b1klrdo-Eb^0wMs@NM1M1YKDerRO&AH6XMP$@RK5@*Y z%QWcn?vL>z^ys)Lck6GW-+KM^*xFb_R~*IK>UzBM z_Pg;m<<8v)0IYg^_Oq|0*HJIC)70`?*Xh}PX;r$zSYBI+jirY%lpTK-%gd|rdw=vt z@%meD#=Gyn8}Gb#GqYCcl^g-Uy68vGr^a#vQ+tL? zYa>7O+)09&=o~P)aQ#X={pz!^k1=-yt-5Wm4lQNxj!p&SS}#wgUPeKmvdK^xQxNKg zkfxRAyE-ZOZoFpCnKRLxh)c6KatggUHWMSG)imA>6)=sQU~{##8p{B8Qy!_e+X;65^5o+~2P=#PvyBFEyBM{ zRjK@)60;9Z_-f^5$5F8f?tAmalKMK~EsusLyoV6(lu9dEw>MovHL zEmzK2-}JOo-ySe4fO9ZGoaN)fy?34c?F0NQU>_mFCu#;zivn}%*yq#Vj*mjugoYlw1=DpPcnr#R72p|t+c$(DpkK9!w>H;Nf&eQRT&mW3^?A}yPLC%o z0xCIrz}L2UNPCWje3EfPJiniMjnfW2n@$}K3{-d@V3T(l_&qUZ`lTv@75eY5gF`9S zNu>!d9-knfuy9-JYq7fYC{~vrr?oyb3`jNnWo`zg;Fe}(hZ@sB>Gc$dtAKq>#tho$ zl%&VxN5;cCY4D9`^eG2MGj@3#Fg`Oglg5(5Z3n~E-BdJ`1gIVU?sy(~vjwo-z=Ge@ zklo$M*sX00EWIlN7-w9ZmN(W@e$!aBUR`+O@$!1yy895Yc@{tapZ>k!$t^x^#RmUi9q>*eqX0n`A0s)?BNh=H~ z8ZB-sEB_V{Cml0B@V~%Yd62tTVLbcZ`fw$Isp++1BBE1y5}Sv2Q-)+{$4N;Eltvow zbWAngt0MwUWtuz#KPgWs5w1^ zLLkEcnGS%c4cOG6(O7n6`a8Eih&zuTrLm~P=hBrcaryF<%yl~qf9m)UD3wK$oAKz; zgIHTzP5{-cxmXdoO8={S`{-w7sv%7R9zB4{%iOqxdYmCMoMsjnr=y60GL$J}8L79u ztsd5}y##1}3IKYEy38#sL<5;7Kom?m=0o)TmFKR<p6pM4u#`MG`fLxPyAP=3*E&7sBUZ(N3NjsU|J`qOFjVYei%#gmnlc=UKVF_(S5c57FILmID`P2*;T#z;VBLi@D!IatbT1tbJJTV0PDI}l ztbnjsuA*{d)F^%ezB-+5{-#HA(B}aZM=LJeC{t@0_e96KI?$=gMgzjDj#8&8;1hvl z9N5@s%*-}G-UvtrSqgFQQ#X|F8$6Es)JR&fh@2G6eSO9^76ECzrm+)eoRfGIw&Ms| z7ix4th6WNVm=p_!3@B)lvN+>PN$-&eJtV9YA69|y*e1EKr!r6tT9ni33OLi^xcW^- zNU#avrB#O_F=wI4Z4a^55veHRLlhT%WX>e>^#Sm+HV8G-O?aqaBuWWH&w~m;1~AOQ zx+zcv<}zi;6&5hQ;Q)FdcvcG50;;p}912~NPv@S#=b+BMp$pJ?r!fix_Q2-k1;%W) z+FS80SEEBOf+mH(Z58nJl%RFD98-6JxSs`p+HYlnke?oT-}$+m27&JMo(lf#Q#uEM zr%cfMVmu>&zA~DI!~tN!IKu{ls{*K-!2;I+)2nTV^<_9i@mjW9+p)6rIK4{(WzX5K zJ>yN#ne<0J<(UM+9Hp9?NhmqTjK3UL7551IHc7qfj<_1y<@EN4dqc+!Q2U~x8RAVC5=)B7}<0f&tBDPVSZ zuu0vg!bI)45NH@fDbpGmx2Ak8yl$A1>5R;sxqs*k0dzneprV{MKRj`9kmvP;p@Zy4 zc&_K&l=l66i}J~+)w+Cu_)gue*d?M z{Y2xxPx;AL|1R&pSg?8P-FI`!S);}Abz4dojeP1;uVg%*3uC*;!33MiL*)wRkg6C= zodlcCtY}C|jw=}6%Uf-9!D4*+v#-TxU;ARb^zth)Jv)n>Kn|g!+Q<(xOynXz45Qpw zgg$jA!3svQGfH|rUHIan+$z9w2fp9wbYfZ^LqA(zWi~|bK)^?5i7y-%F@kwN1!cyO zZ+oxP@yHs-$i<_^)nC7QJzja~<#_4&=i@m*=yNYTAJxV2*gD&bE%dL4I#c7A$DTWb zhSLk|LL}qvonb0+O)Jo=Y4?d zdK>w=vk{xEHO6EkLBB=$X5Wdoc4&|7I97jC5AUy!n?iAn_aRTYe`kA>_wgI`GPJ0I z96ZJF8a?X7{6G^@o{jb)?LgNw-C*K$4_>D)p}pPxlemBXVXUrg$Z8ozF+F!Bo-D1! zdpB>zmw)^#aqaq_o%%>>{zQi$vNEb7QP2o7RE8=>7#FKi%R%>X7s2UXym}&bcMtg6 z1g|KF-SXMlwHyK_`J2x!=l1qcA_oS*7qF=(P9`341^V=O%r8u1S&hXB1J~X^0&4Zg zDAv9?uuNT`!dDQh&}(&f6R2Z3O~&O*rb?h=j}YKIUjd68q_g{T)vJbdDm1Nml@!nD z361{T2bvQI6$OmR>?IZ#(-iPkfTjY+)s8ZUhu4-;1dz}5`V>IkA@D)qp6(%hJ0@Y> zKpY+=Q>$orTr!PBDn+NDqu9SkDu+RZB2PLUh{oJl^iK@~e)s58h?&FuXA-y1k>Rz3 zoH9s2#qY))dd|I-N3dM7jxc2kJ^o0*Vm)nx58*zAPBO9wm(dvh21L*nLntz33+E1~ z=e~7CSRC`ri#((k>n}(yU-JwCNBU$8vaWhbP#(~Ot+Y)ED*erNo-4`TcP;4hT`!SF z(LtW~@HMH7>=*T?G$TFnE_bdlSD8Z6DP9GSAWIPJBCcF)#q}yS6HL3ZSkH<;Un{-P zj-Uft@FkFZr_f_@4gccZ@m*M_ixAQ!+SXmh9=3CiL*0P2{fHrY60@@Jz9#JcU+kBIPN`O zjmK+P;F~+Kx!nPT?j?^17_yV>KZKlCc%~< z)UX=pSB0R5Lt4~Zuar?b#YoxPqX15#%o!6Jevy<;QL8exl=Cs z*ax5=br0ZwWDdNpku4x}7c_yKJ5%YE%~Wu-U(jCsZO9*tLk(yRYQv010MThcGv4yz z=qNO2j^5@Nzq?}&h7&Z=PhSZ#XBsAjAHyIVOv7FSU}SDEj>orSH`Xz_1z%U7!gqxl<1`rPp0r?D3XzL2&<}oJbX8QI-^-DfoZ^l4r!VnLm@Z2{x6F zf=9aiaSK+6eNhq>EjT_rSo2Xj0qwoz^Qt|wqs}qm|kR6i@HQ+aOh`?5l zlZX9YihOKIR?PCK$`w-(_5CB z#h-rtPvY(ex1tTuu8oYw^UpjRufF!_7#ORd({wgKk2-Cjd%+#P8cWj;1L74ukCrYg`2nMBGx zKFdRkZV&755XR%FbQA470^ITZTrtUY3SQ$n?N8%f^c3m6R0yW>MJP+O{;kZ{+RHdF z-X){jegTnF2Ye&}11Gr#C30SuqDV>`%U1zxk)jE@`1>evr&U5@%&Yj<@htamH^lh)rSJCN#bm4|^c64fb zr(7wlk~j9KIp!`VfGXaZ(>e+MTp)p>0#u1qjl=8Fh|hE!^VvBrAJKvJD9n9cRGRd) z-)*CM5YsAZf&+f$sni$%K^=?W8;D&1W_xWrlg%F(yU$o>LWbhr~XS1kkw$F3&QicJ*Xl|9}Uh5;&V`LN~5|G+N7U*GhMd`%&SWG$# zkSpLTD5^nZ%4yDu^k~n%Qc3CIkO%ab3O;Pv-`T&;0D9=%+ zx9WgN!;Z$Bp&5ow8RHWbl+#;`skF;8q;VH%Nz*3YA4RcOs*Q7{g%Uv?YD`WxCgbYV z<(RCFr?I`>+ARB^&-BH9a}%JsS&SX(kvS+2cd4lWP>@*o+J%KCN2kKc6Ba$;8kGq& zz0NvuZMKto7CQAA8ne*txj1m#oib0^sVvL!md4Fjc!JV|=Fd!nH5-kQ>8K4gQT|N; zj0=IP&=2*1w=}Rc@(+!5?rueUw?$t99(kU#PlqRrH6U~UsLkJ9&huP45Ne>#&K5u? z)JMfGFZw*|YCNFnUgR73?*M>MaxPO>?k>h&0nWy;XY+ZE_u3cU^S!0$fl|KT@0O3Q zDWKQ#!#FlJ*5b~c+Zb@`vAWg<@Eu@8qgw!Yt+l0StuM#s>XX=BUqx0xE7bW6S;fGm zv@xC0V1x0RU5v@APsQaM&!fvPr?<}84-Lvy0OlG1a|?ZDcufic4*68?=Dpi@;`Vzt zV{2_CwgG=_3{dr&p=kEY@(SmTLF9QGPaY?TGl9IiZEyq{K^_R&I_;f!^R4g1+wZ&^ z_wL<`CxFjQo_Vl~9;Lo64st8YKl<9&;-CD^KaF4d)nAKW`juae-~1ncJAVJGe-Mw` ztMLTD=QKZ$mYT~zb2#hh;@^^%OL}x_TpHm*dO}&Neo#zic-6GJ}=6{Rs+ z8;-_AB_?MYF}pAkm#@#nwHx#C^s|@andh&@^DkYG7hZZgo_q1Bn3*@|v_CdCwqsr8 z*gZ~9QQ~rmnW2F3>)WvggRHK!VtEMxghF+?r+BD%+8Ld7%7F5D?8@sD z8s`F&3sj08y1~x|V0=2gEQaA6#G}GSQ~|JE@MIbRr@9pSgE<(*qo=Fi=~<_<3z)H= zB(xptq+Ycd@(_sK4 zO6UY@bC~M|+$p5^U2hpx%2D>+#=|&0;US^TQZ2?RqY^iX-BDe zdH_vI(<38eBf+W9x$vc)ZU>sHT6wQR`JxXUJr!y_NL}nbjR3tydLYXbglVK4a}zTc zFz4U)b@_DcRp14{+kSGltQMOn-No!KYt~<{u(qU-D70-2mks%E} zKWU2dy7BB;y&@?{P-4fN-cRqip7WB1B|V|k$1%~u^ce{-d=_J2J&Xx0Q`OX$#;2!< zx>gtu(;W>kKK)LMLYMN*0X(w3+Tzpk#~7qdd#=dsKZ%iAUjaA6eNi)g+2mLZR^Tn( zw@o{5KY0?jmzQFBs};NOyt`EKhOC!@FaZO9%SsxY&S1!syS!_UvcG3P(m%)$V+E~~ z{qLtVTBf}8dB}r;YQEDSW!hL;veztSc4CC~jseVO$K8^0ET&B1WPeEb)Q92ZkO~Sf z^~N{>0es^7F8Y{ToQt{33o$V_9itP?7yw+J0SX6@6BTHsF*OlQ49>Cf2>_|HHYgzE z(~)%6fq$X3KKj;i+-aGF-9=O`<}xl@gOYwskm6#-YRpe8#?uQoVs2~(xpNd7+Z)k2 z>&C#`Nwll?qkXc53>0`nhsPKnl;mssk7uOE6uFSgd~z&uayoZw)6jLLdU`$ebV{S= zeeGfYXSyZ;uAg4(PyOfuBpO#}giGH;ybkaR9hkmuAZmcjxo8YeB+#r5VSo=dd54@0 z5Aj@Ob}vbLXLpM}X!Cq!l23)N&H$Q+u3FyZytI16Jt}P%qZzW~Rp*o@O;G%P;iS_h3Q7yXpaZMA{V)dJjJduHjR=CuItKoZ$?7@0IkLdM=CKKPo=IS3dgP=a=%s zINUQ^I5B|?m}_F-xs&o;HtY5_uju5-}u9S6|eu%SL5cJ-;R|h zOR4iZ+vxPwm5gh50piVDx8v6PcjN7MZ^Z|<@5To=Z^eT<_ZS0YD)n*Z$aNT_=(Oqi zx#$4g?mm1Jk5<=Xk3p*dgy$|@j)|F>Si@j;*Rm(zhGlTZ5}$V;t;IX{mg1eIm00d> zgIflnFXen$KjLB|od+7U%B|d%65~yyU-?~}6IMq@PKp1QFVbPd{gR6^+$r<%2@I+R zU~{yJ9M@Tt%}G9L9$Axqd^;VZR?H*mQba{p2(CCRdChMbA04?$muc zL$W?PO3W01j)QmR;p?%XI)>UntZW(M+>J)FPP^02TFdb4v5G2?Uy;m71 z1J%`Rg1#=o*Ol<**+lJ~PZ0z37+JT^EHa^h43*5GpLFKgFbuD|0QNFfiVJ+SQs`GY zyB7n=Z+u4|$1a_`NBb27wm%1eK~z*JBqSEzl*-h@K~4*mFZP>L@dBR;*56ot0-_j< zMs?iRLwr@*ME|L1YV`~c5J(8*1U2qSeXOVTq{P=LT-|Ad2gWJybq9{#G_cc;PVMB1 zV9v`JTJHiE!Enat*$>9RVJO%TiCTj7dJn!P<5+hUhEu_l{D3h z^-JXggL-6ta9;1W#)EXKb?(Yb9+@6@bF7(eNlL90%^nFICxHApYe2jrZ+jSJ0}F5l}-uISwsGIdQM}(G1QncF5V$MfR9e;h@k<~ z-An;8P1fE>km>&IE&`I4H6Haq_JHQ@eg}Yj9$RW(@~{%0xr;n>7N@+6U$_@AkpD`3 z(wOO0l?O<#{;k|dx;&?~oH=r=Xm_DY3ccbz9=6wWY3NgW=l^{UU;o|ZyZ`<4XaDE) z@x{h$u04JPrJck?Z8#>IqcK3gxfz4I;uu@$EQzUwq!DRB-Eh!19H*5=^ifXWz3whX zZM&VTmz@sp>fC@9G`6L2slXYAt@ZV|^X_}`{=4tSoe$oRbwFjNGGZ*`f8~d}`y47C z(N#~DSK={6;JVdn#q!!(EUhd@mpaU&You9qkp_X!&>1DY*t65qQ@J3iT5p7D((c@U z9FJGl0CwtfWVS2EGmHbdRjbA9)AKPpQ;TDU({U~Ifv!U@OCN%57e^_xogLE2rfe%K z)#XKWJ$zwi4EG|>9G8dCBn?wmPfyLq{Or>)HF+5;d(a~=4a!T7oUyOgElhb5DYaK`zIs(z8Oo)%h@)^@GdueaOX}ueE1+XFaSRL z`PX7@?)z`v^5>4(6f|DGIu}>2FT~ZS7UJ4di&?H-UyMsv=3;(v76Cq$(_2mx**V6? zg&xF%69C~p)_6CzHrlbV(u%dE%~)O9z=BziWvq!6%j30JbK>HF z-T(?BB`AYg-Nvn-4yYpV^d`vyDki0m1FEp=?rD8!F(T&p$pt|YjY?2KlERexJOpFP z3V+uER^BK`99%)-p+d#yOL$zLf*Hp1oq_-d$UKZibd=}xgi#74&Z!ji^d9x?B_rfY zIf&odJN+e52y!Iud_K=osUW9ee6Bf0u+tWa(-p(-p&_IfQcKfem1c~kbBZMUMj*?*uz7t9kU|?&(gm>V4O0N|x5Af_MjY?eLzB~vTyKn}e0RwI zR7`t^r_rHa#%=F)jmtVjSPGsfeBbB0G251247ZlOsnt^8@lLuRW~QcM9w9e3J00WH z%@{|gWHqXiN9l*+U2u9=0P1I<`;5g-in!RLI$DRv>3e9ya2nV+6=R8aH`WwBrVrf- z?2LYccoK9Lz@ayTwli>J)u~vVxEfcco{Fo}maB1jd@&ZA^Ko_Ja$Fi)jAms#d9;O+ zTkp1_uQ3=C*HJc&o!CEhYT2;Ro_y#^TxA^A&|33O+Vr)D^Rg_6^fAlYZH~!$C|Fd}G8{de>_wVOoSG!OLfxHe?MCS;Zrc;T&Tzc{-7Xm6v zlBc0PX~OIjw{P8y`}giK9`w1ig}hY;Ia_z-%9YH$DLp=T{3O2q`Wx}JKmBIB2VmL) zM2}W#u>erLa^-riEQbnWxH1rxsY-0@wxZQ(C%wuW**m=7aWpKz5tkpy;?!08n4OwDIzmaMsfw!4He6F}hIhf%pkYG1M z<$8J>HsJSBSMGxg47oW*x2UU<+IU}XP=nk#LC)0rkI{|x^+4<$@f$ko>gC0#xweD8 zmcmbv9l4Dxv@f08*E$Q=0QgawgnPbhq@0~`g98=SXnu585?*KMyukefTvX?3D&PCbj$LKLUn ze7?Y?usw{bFhl?=EKHH$9;@b)?B(w)X;QS*&%zDzo!U%GKl4`6i7Dg@k-7tqHhWs* z{3pP3P)Z6Jg^`}hqJSlsl1CKlpYtlTVkrwS6;cW$?>1of2th5OxsuW8035cX2R3Ee-YP%8d!65#jK+ADekt$!(BSatTsrLQ(PU(cc7wG5}%qhL25)Yg^Ljm&i{5hsR z*ftc!Zhcf{0xhTV%XdL$E*Rrn@1Q18g*Kbej_H?pKpY9=T;a@fY=^Oz1C>#LjGk5Z zU59@&i~%zYahTe+i&iJDDRZsO)0 zWPz*H+nsJs;pxFJX4JlvGwlD|wBbB2<3%6G)Zccw$VSkp+vEhfVuI)NQXJ|5g3qLv zb2>=*fAPzO zL=`=`$dGUa`a(m+Pwux)rKmGXTZ@cD(F;J3MdkB*%fI`4x&Nc`!#Flt0E*UrbWSSK zrR<0DLj8%(9IZud9D@LGIatS-LAM?;KDmuD`dEP3q5JmF=qF_8rF9DEeOn)K`luPdyVq`Qu-X zPk-tq>cBgwB2A{A>Nzu0AbU8WtRDxozxKJ$#ur}uT)gt~%kliP&mxPED?i{6`Fx_o zY3&VHeF_?vv0f;ffJQx#t&QzyZy@lu0Dyi{wmrAmj?T8pS-V&+1x%^@j?zm3L&3?!?(}j%NgCdIu@pTDAWs*d;C&^I$6)5-u~FbcUMK+vUHN7G zp>LkYef*X}5Mu0sn^ej?qj9yWeu<;pMkJ~W5`3Zf708sGj`?d7!1C@nEE2#i0g(c5~cbEwt(W6uy-N(Ibgb8ru~(^4H-B@5p{vlTb?#5^ z{f>fyH$fu*{J&$l&wIAp+p&oPSX*7qKzluz*@Mgp40VllK-?s_uKt>-(Xue?J3@Op0WOir`fUQQ}>osu=1f(zApN=K!U zEA{no>UD(<50M3?T-x6L$l%m-+reNGXbL#n$er!BiV*P0-zJGS06u|y*7jnLW8~kd zn^7E`#vnj*#?@E6pxng$Ni-b;{M9bxW9Qj9<}bp#{PN?GzVgA9=aP@i~ZAWlo3&y34l7&t&}1M9A_@!I-lm>j<&y36eFh^ zMTSF7=1TLC{(87G(C`2TP9HK7xh4?_4&Bc@<1;&3DB<0ttxUX*j6FDY%A9g)?qdyd zz5Vd29$V!z*GPX(=Ssg;CHad_59@C!QmYi@nPAy!_CO{C${+SiF={O-)4hl5bxe47 zdQZ>KeN>94-|}%V*()Vp6Mc3LI(sE6d%;Hy(APJFE*%+*!P-=eG-qS_%8j`E%!@H| z^?D4CPs9Oz(c0gSR=XAJEpULbl^PENNFYF_vg>dc9I*5t)^2?#p1kv|xce66);qDW zvK+@4*Ydw|LK)%=(A4y7EG%5f&?EJdIVpE|w%*Lf^gIA}I>Dz#{8Klci8*r@Hz#9a zW+7(h7UK+=(BfJR26q?iho6+ScA?Y9m%09Puf7^T^_8#0U-+>v$CqCFY`prZPsKA& zn|8>Mw$T_7OixY3Srg2mj8z|Uzj{x(BWBrju@d9d0bm~>PYwZv8iLYz$vT4khCgx^ zhN9eam#;Dl<*ZnLjEzl2vpGXs+{+)s7yYUOWABiDJm|#g##-jp+~m_|2y&&9)Ui;P zxtaZHsw1E4{loN&{VpB38Ap4&m2@TMP+pfjpdIcz#Go6D!Ltf*X*{k0Hh<*RPsie= z#dBFcz#G(8=8uNIz!P$}j*~Bc<;UU||L!lufBj$lXYu!c@$bgp`P+Xx78ibSdc&e| zKf$qwK;Hp43LZZ!8CQw0-`)k`W0mV!1PD1mdJfX%n;mJ<1z$dm+wgocFhxt(Sc#J} zy*_;ikG}MNZ0V(dz}#)5xBq!r*x|sb_=>`C`p+Fo%)!^?+BS7L<+<+0Gd?yM^-43R zCl#hHB$%d5j_bY_2q0|fWJIT3T-@C`umu>X{D*9d({%KjD$-O>S~D3d#x)Lb4~*%# z>VY`HhKf>(cd?MGlqHmY`pDGu^^x%eHbYon!?kMerjXO@93|GIv`=^Vej7s6gS@sE zrw2n=|J2`o;`EHc&w*JI%;rN;UbMYB0-*{ZZ09+% zC@kHX!4>Q-qOu?dLX$tDpOK{y&2suSe zpZa&X+%}c|)pMO)YJDd$6v)!Y7z-p0ItQ^&F|~}b zcaFcbP|~_c>*blbPyrfK0o&(3M^BT==*$(ffPiAnmipxg@VDb@m8C7~ClE|SK`Ryo z>keASJZqn84pr*hXNn<>4couDxfLtR2(p#66q*7!z5YX{^cbl?f3@`Rnv2a%5^4xJ z^R4NV90ur&*M?%uMSj)6Xw*!cJ`_#9*DDlg(G3?Yp05ro-~`Fk0X{Luo0~bfvBP+? z7UPY2jF}G?`nP@xVLipR%R?~ZH0=m|XiA_=r$S$uFZ1P>o{OLSi64)bv93*?ETA<6 zp%@wTmplp0r&koC%LMW59gHyKR13Lf(F=Of$L`j4^z9u-?WjK{Pf@V_m6#r?#$0VI z=8#iU^+t@@Mn-O!u^lulgYKvyJ92Z3+9-W`iacz^R(m-fuHBCJAG{fF-}y$|dho4y zvT+-w-%0>>c(xa#j8S76gJ^gu4q_X*iefb8`*c5Pt{Brr_DOHf0HntVTJOya^cEOc zyhd;^%-EFa^Fo&%f-~u@04=Bge6 zUz&1O2bxNd$a4gsepGMr&)6d!Py0 zAr0r2su-Rw3i2oh3Gx;EFvPQbpR34^oF%~+fKZb@i&H=^Jzx`AE`4g;#W27=XE`ra83#$#e)B6nnR|9NNee$Y`Q#V0sU&%KaZcM2l` zqzcvPYL~}r0qcp>3#KJVlK_vph6Rtkm@PyDWshP|?=Il6L*sU6WE*g>y>}2T6vsAb zdWXN=6yIVzm ziG})>#Wbgd5b3k(;6#j7XEFinyjBGSVQ_H@B!w0C^@O3T^154Fae{TO*RqSC75Jks ztR}#!xci;buF_UxIaL;}l*>?qPKP#}Byh5AdWO;i$#)@k3QWd>58A~8IV&LxEc1Fk zdjQ%#Qn(hcTInMdz0*ye5RN&G%bh;xLJyUR^-Ctqwq#?{Kye|I@rX`4$n*+}Y!AN| zg;W%Yp%8xNGf+NWr^V`4kFFH=T0IbDyvk}_jR$85)6?wgcliP)_W8X!>AkZrwMO-L z>zy2~LR$!1SA*MMAFfK}8kHe8r&lHwnSDxSd)|3}cic)F=y!Nbo;-wZI-Eb?eHsM< zPz8^1z3#Vete`73C+B8k;ri8>#xgZ$t+eB!6Q{&RX|HkDrV}#>{Pgq$LZ%Tjll7RJ zIxl>m_3z2Xhu_Loz8qV8nsX4s0wfGYeXN#S|5X^@iK+1zn;U{2R*}JmM$oUP#+4NXmB5mJ zLn>s7##67Klx@lY<%MHVKxT2M_GYu8Th0RACa@dFh3xE z;p1Gz?Lr`>eQRwk)*e5MVaDb1)L2Zze`g1sc(Sw<@7=x^x9&ZRE%c8u-|jTiaBIp+ zEv9DXVtRHyYK@7Q0k{ZYbPhOs!GI*DFrC-I(OK^LH8;N)FTV6bf*tjtTScY^lfhke zi`>=qSObWzuWOVrh}MrXAT}AT$7<&wZavbGxb6wmM;L+DE0UH;%cQy+yvXk38e>;!8Rqz6#$*vLn=^mRXER3d7n2eJMBXmKxZqIGVKc2 zyUksHt_<&iECogp%nBxjae{<%LFWC|w+Ju>n1`n)fSc@iH}N;O-T`$x+B4Pz2IYA< zjcJ_}G+Cc>fym#kkP|eRI^?9EcMJjCcllcb#&Mv}w9I>f(-ONY#05$zQj?$~I!-y# z#}?D2*xv`7*FeyEv!pkUan{3Ny|n5jtehe^Zxc<-cIyc){ZRm^cgk=VEi8L=u$~DJ zRf^D$^>9p%&%vY(QaBh0UA$oQC%*~WyvAqvsV6YEA%j^BKQN*8z_1p$aeyW9y6VL# z8q;EF1nKdtBTP(PlW8XGPu}mi+F#OadTS24>6vj0z5NpgkgiT~!ZS7MG)(McODaa{ zm`cijNT5uq!kBm{7z|L)xMKe9a81WCp>FnrMum%_VAmL}Rby-#5HdZPX_@q@@Bm0d zx*5ngq1M(0@7xC*BJ2SZUjAQN)giDHDBRU#A9@jR7ND61 zFf^OqdU-Z^UZc}Dl|x>!ICg2=bKOusU{j|8}VB(F&l$*&)y*Iqv;C-NLUYO#&3 zb~pAfd6jF*yOlH4BMX0j-=c0R&;5A$-s^rC$HKx~eCE?H#I?&a@Y!~JaQkMw^UgbQ z_nuowu4Df&HaqQj_`%J1L6!2b5}pWqdL^Y?M~kgSDP_+^+r7R;%8!h@oH3RWAW-| zUX4$``YFXih5>auU5w#oECNKUJadrxn=IZ?GUJ~6J?Bgf#(5Ki+7O#>e&=R<^R4${ zb)%Jrsxa4KEdt9-V;CB2w&De6G5T6Lf%wQ z`&-iS{w_2I&mk8__1_!BxtPY3kJeG^RRxr4QVtO?m2UqmC&LX;Ho8vk&(H zycB7~cbc0!w~z*4nme=$*pw%2K#?2hrXj_uvea;^VcJm5-JRS~DP@YC3YR(yrCP{! zB>*YkYf3{m@%WYB_$To{{KH?4U;33_i{JX~e;WVl_x~WaHn*~Vf7aoXKhYtW>>waN z0*?Ym!D0cBSr}xCo=JZ<5p)5NfSLm>(&G&D)ywJh>=FGTOToHng%~deC1%`*$%&_? zXX3`Q&&KtqpN5D5igc79w99kaD3}&R(Pr@X>5u^wU9(w3F&c|7$U78*3YXJxdpk~M z66hJ8Q)7UP1L`TAB4YVJgV8%26sRmlsFU$yr>W!>J_T_4b6$5oNIWKq(&IyrkryG< z9AvIh`8$o^6nsfuUrB*`ilT8>8-|>#&Xpm>`%?%a!~~5{SX3Z_bc^%pG`Vr4xk!gP z3OHTW>n=_z1NV8Y0#f_w%Oe#G_vryuC>ZZ*vetuin-`^{P_{j#?jL#oBy#J~I~2Tn zT&z;R3WnNxufU{)B}lxC=LH^)qs98lz}DR{EW>1&01A)4t)Ih`eQcX3y*7Kl-W$E3 z3jg#B+SjzxjRpkoJ}beWv@wJrKrlLX#%Nj`H>aZW{pbBDZnDo522Q)^Ayt|BxeKr` z7RWlK#mJYeTlRTT_DNsT9>1r+5j;{q9?kEx8{y~oV=nFTodjz-A zy}N!1EVo;m&`X#8f;MTJir#b{3LxuI8$pQCmkR4TMxUU=_SR*oX)xNeA8YzXpvz%Ygt@g2WD%DwRzY75F+`SiH|I=^fs?zsw-$hBa^LlsS z8WV6e$6|^youwI5)O!-}IbIihjzmK*Yi0~kHC^nXAqNyeCbnZ^XAOg#eg;S>Uj_}x zhYyt%_Jh-lPVL!cNRy}yR%pXmOk&84TaaaA&GD$A)CVyDU^>QekaNwbO+pKU8z`_{ z`mq4kR6f?h{-sEh8Oy~zj)k7byn=Da(K{bPC6}Po5F`ya&nZJpk}usV^L%D{GzEpo z1M6J8qXoda7;2s?YrsG{BWUD#%JoeEqsZH=DqTrG7X(V84tAL7}yzTjj&+k$~_+e)nXW2^f5C#mGyY@ zJKu>v{pRbL;-2Y22FY^>$X+2-apU`{>TpR2m3 zCMQ$>R4T{~fYreXz^5@5*PebR7B5{cdIkDnBzPY{ivCv?=wLFmXYR`N`1EUEikCj~ zxu{Rhf+Y^qL-*`6Pv^Foj-kNPMU7KaGn~7chX2O;M#gL>y;GM=C5EA~-)YC@nll2M zasT0Ry!*k!xc_)Hy68)dz7yzns5uIq9r9drwCXhK(MPFUk6sw)oW0A*Z^p^zJ1dzn zo6;84pzhJjcmgfg0ek|@ru^HSiRMT%s>jrA?x;|D44X%&G&R(E)VMFgjk@l8M}Rw)u2XD}0OYa&rd_vYnmHe5N_MN6)ILt6Bdo zkqAvHp0Sz^zFr?)zYvx29{qGES{^t(7-uNG69lb^uJ^DS+D=Q;i36i_I@jy~xCFUd zboe@D%etU|kLW1lUF`HO1Cf@Kb>7*D$E)j^jzI-8-C$sN?krJ>T*WH zQn(alK3N-&wbeC*i?qk{DGq*u5Z)ybI`tz^&6Td_07atA=~h9UZRc8F;<@TbEo!3; zgziX;PtI{4#NtXHq^>}T6oK#-*<#M0(6ezqqC2S@L3!KI6T_A!!tj72Y|X)RnVluCuh=5rB{ zdNg;oItlPiVd1{96_r2zoAHD6iS%N9yvNn!$AZlRS00zeM;Znu&CT~A2(*wbj%k7c zXh*STAKNnHYNQF<;cr5*OhC`OT&(37_{ItboAE&cSQVJ8OT4la_Pr6THv|e0S)3hy7?tuta?df5HmG1*hlMlp%gr83$Lb zjy0UN5`d1M1JFi-&qf8AbHT^(cr!-o&T5>+Vc#Bds}o)L_s~Tx4w`Zzm8~933`m%1 z=yV`PPdRr2?NWyNhZ)yuE~GHqgl!dU3h@S!38$kw$jw!h*E!I%Uz0%{lL9OqYsbZR zNK@JW(iiko#@Fki@1#H8%UG85OVEeL4l?Wz<>+o<(t_Tc;yElHLy6h+Y|eb;wv$7X z(HNNpU{c>fr_CDxO^o2a5uSKXQ$7#c+yi8~Imi*RC9`fopL?7aWEzXQd$_~<1rsP| zQ+IKl)8z#SmUl~U=@FMFI3=GISx|tcbu8~ZKgYFYafC*Wd`ewtW4XS_yDZYC_=5iG zl@eNJ@%_iN33W$F&_Tasfh%>XWa0U_dlB{Tl>$(UJWZf_UVa$I!$%L}^*7$gZ6wFw zm6=904mOwLXmcsfI$N=|@+7@yE@mu?%lhLGdHLY}{dl~zoV;(`=j7x>&P2@3FT_hP zy%L{&?F;egS3euiJ^x}{y>>ljXXnE7LDG~f(3{PPxODkiJayyQn3&m;_GYZK*VED9Sff~6u8SRq;xL}rYp ziV+ZKpy|LU1qIhn={{vI0n^S&H`>R$luqpU zdDw~N)>?e<@NT^S;9lHWew1ZtVH#SqSL6NXva|euKYF+ z<#zWZme#j&u$nbM8Uotg3#1c;Zwk_s8444H1`P%F~-Cx zJ=2kRUXQ2Nn$zw%wFk54Nh|l9<=_iwVjrMzI1;D35GM6I;W@52bDOmEY$)~4gmd>H?J#HzABmY^zhHf<5=4_FbkxvK~1tOJBM5n2JMiD~Ql)QaF5k znmP9Z=DY9q$hvTiGSxIS{?m%jcR`r`D;FBn&)8aWitu7BbF1m$du>|}NNeE=7Hykt zD$1iMCi|%8t&=GQn#Sq)x7Vp~b~`9I=*^hN0*vfS+J@3FE|5V-06JxEc7u~l7v%K2 z{hD3Jr-DFXVFF&KKMwbdx1~Pk{cT=3uBH*xS32WH!Df0;>3IKXHQO#K4*8YoQ*ZE{ z`JFM%^g{eTD38()2aNX__uDlU+U9h(0@tZ-Ga;DHOyej)2G&$I<&{>Z!eU`m$r5&+wl5MUSk#t7bggY6Bt9&#ukmB@C2SC@OlBC08B$1Xv36w z1OcHJeVA~$Hdc?O8(WMwke34hDDx2_&rUH0oSKCmbEP$Ob$oyUbTSf^sK?oUU+nG_ zTGX?cF^r7mXdQ5kT$r4hiu!zCY@a>`n7MGqm@Ozzdg0xIOBfcq6Cfy;3VjLU6KpZ| zc_GCikq*44%vd0otQP~L_oVQW$_e@kc*{?ftn>hFn8aTo7N;&0n?oK?#ZX@j@KBH8 z!5T^&9fACECpURfkLErKu>;WTbWLC6G^R?;^fH|Un)~R5{Uh^dLQ}MjUwJojN?DY& zB;OQ8Z{4kn>1RywW!#-5y`;!2WmtMa?Hh_+Gn72RQ}i&wt9C^8pKU&;=hO|V0f4mL zu;j%Aj({4zj}Ga5o{GulbWAp;pfO5)BE}mN<+DDXfMcx2C&ogv+K2|FX(}9y)yAl4 zpei||;Qrh{jAM0qHR{mQ%g;TFVOEXq#(GS`ThCm-ias661*qy0=|!1o{4Qt!fVUa# zt+kk$o`}Ej7k(oC_TT=S@iRaD6Y;`}FU2AtvQB%|wH@TCnIqinB4Z7qL(}KD%G@#Y zx~pD~Y<+n9X54<~JGsTAbbtTRN~~^d!}Ha6@i|i&O(rTajocm}OK@04rY}Eyl+(L< z-_5F`r}f&kYw@FB{!;wZPybYW`ZJ#f>`ps;v9h)q57*b?q|z51jU9ApI)?W?{;?vVtI2X7G2~sJq@hk`MhTkJ{TD)4gO=+KdtT>xd5hPy@HKGz(aLJSImoR$#8&oFNR7vVdy?&ou26-eYQd>2IOp&3L_4R`6k-7^NA-a??d(?WW| zBxvg7bA4tn2GrI0h8L`_uhTr915qEMcu!GAZc~}l=MYN`u{M^z@!oQe?GY%H`f{Qi)L-#$sDq1!F7l9M z?B4`={Bta=uO3OyIVL%Nc`bm9zOtW=&%ux9Y=(;5R2Y!tHAL4BZ2<>MDReD+}DnHNlcIa?g$sL}2Z3;R*wLblx zMoiKZz?f&`cj!-`#=|rHkqn;wK|AzT>$SEG*2Urj^*|W!lhx!ohG!T?;J7*y<=DZj{UJjcJCdhB^@%QJ1Sq-@JMPhA9D)e**NsLr40M?kip z{iyc-z6x!o^jBlZ7*+aVWQe{P8iS|C0Y_up%jXE6qvMSC1Y_#BPMo*pVvogzg}6LF z7v1ev+`n~;8l1-B;#~I2gC}Lj9annmU3aET@3_Fx83a9{#;t3#&dtunD=)to{pkH~ z{L$~nAAObbZ~h?OeDhoJhO{v-BgRJ}kx%A|d@=c7K7f zv6eMBwT3e#3Y|I3z>d&C6$ruqzt zK~a$+sCYJitC%GhSD~K(2y>;n9)}b}vqNRyM+&0oH?Y8eKs1CLsL)5ZsA2R-VsJ zF9nK20?~RDWTXcT@FHLkOgV)su(5VpUkM}y9kkVP@m?)KL4<8mG1-;`MASV8$=;%k z625VMmh@^tjJ>|0>K`r^xyZvllhGX-;9Ue0y;Uz?L*+?_0j_4rs9_)th+SMPqtne%lrCbg!Yf}$;Gr& zL0CLiy&ZW{n4}TJ_^B*V4$^AwOs|=G-&Ii4}hz1{^!ZzJJC&$co0qL`+W30kRikcH&BIdsmx6 zo(#4!j!}S~GFLFgzoZZ8h!6Qc4I%!0*f-^hJnX05!p7b|52vbK*jAn?m{kySKXvpd z*D14*MSa6j8Jvvz@Lbde#xo|pNVjW$xLmv=Xk!LJiE`;tzkz zYwbgU1#P!pMc#9V?@l@_yjT(Zk4&I{Ok;y#1`lYEWkF6PSU)eBJDOf7eb6f!!OAW9 zzE_Yhr^2U;KTNZ=y|x_hyzzQ$tgWRUxp(hgyz$mMasSCOe2Jc*59wHp)mqe> zw4=ivZg&ACeW}x+uYtkcjJf&wjB%H55)be$Wn}7c+MLcLo*>Y?im~y9&wMK8XC^Tw z24bB0U%zrGW~L{zy+7#q!B>3Gailw#N*k+_=}Bl0c3ryY)Fk)%9#K!3xe14JX__cQgh%H8me6P0d|n}U|O>+jc^t@-T?AX(q^oQ6BSKVfqhRIydECGgyr;yxS;x-CCKg{ShQ>xv zJP1;(7#DyvYLlgVl1Kzg2l*WLFg2&CsUcMU3ceDXs>e)Ai9)}m0#W$#jAN}Eg$RcN zy;$+3*kbFV@K)I7VgQ~c2upCzJ7q=%xz~;&EOHl{3p`{RnT(!Jx)gZqb+M2g2 zPfA0nOj0ft+SVJY;LbEf>8;})Wfu1ok9+Ylb7ji?BLC@AXxBR&19?s`SsR=JXwH=Q z%z<;D3E&ij3aT7}0`T^u3kb0s>M7z$PLR6@$Q+^FLw5wiVAgQ~pOiebC|Zkkkw@eO z?(-wrhG!Q8S_8c30A-l~#YSasaIv2$i>ZGu%%D<`2hWv{sK>cd*XWjRyuZ+n`od?O zAP0s3nN2`UgTB?c=I>1L)t{x31zAxYKrUDY`Q9r--&HCWK$gW6R->lw;xij|!N=;O zd-1KWeKl@<=iBk%&h2>b-FM^7x8IFB50@CLgOme$`;_&riC`3xH_eCr;K@p?Z*AN8 z&{6@T^YfQz<0ySHl-pU)!nZCqgt*c(*BGCSO05y&7?x90V~iL2@nDy>BWuluF#_NB zy1_xFPc+m!@b~h1D;_Par3Y?)W+E=lPe!9M2+j4y&UP!7pFE~2jPua}GGsWO0o1;D zVlxfct)OcuoDl~mtt*uD``f3Ej<*+k=4}EqD+K7pu_#$PVp{6vyziKMf!KQ zAe}t@+;1Yn`{vd(KHq2PG^s+fP*xnl zk3%DZckqNb&iBB9&TMHQ`TmbK*3he2k2!#*xj1e6!puy}Oip4Tqr<4z4>~@vq|I2L z9!T^v)q1b+k8{Gk9*|7Wq;gB%M1drDJcM}<05B+`<9!Q^%-?RZUp`AY;o1`v&#Cvp z{F!@Afu?|f5RAi+00f32Z(}t~K&>;aBBL6oz_q4O+5vDFn>If^&HxlZ*c>w#W$|7K z()=vn6)I(QnHH-pt54O_tE*V`{VJ-I0ThLhR$SJLIwg3eqSjqOE?7y$hOieD)FHGZ z6yjNbHwGKET#3B1z8>2!j1SB>DX#Uq&+2`aV0ggAFv6PW?7O&xdJF82QK(d!dl>_Y zVFxZc39RUh5k)ZcfU5+ULNlLf%qhkL#kT03%s29W1&9jYelEgRFM;(_InjQ3-f!IF zO-1N?g8K4Yo6rO07j+1(Y^%ZGGL981N$OQ_(B65;G2&A%W*HkSI~hj$qOCn8+w)H3 zletDE=Jckp)L6|bG{q1^V{9_2^+v`CmhlFpLO;km=%4;`=bAOf7^~HwZ{vC80~7q0 z1zD&r`4AU8%|mafAsY%I553s}u`|X@-_fu@nDej=%{t5dbzM=q z-P$VCm9^kHx0o#F(O&w%Ej1FO}4A!EG+?kx5j=9B!XiU}-nhmM-Ba=L3``g-T2Pix40G^O1}&t6DI*C z^=30V@ZrkJa%>@koTfIee|2pm9^8K%ckVs_G_ImckBbat-1l~!QpYgENH)!pyXmX~ z$Tn72qTOmC$F_6v@6zf<+`0cGTF9c=>FIdo#b@HBXRgKNX*WoSSePiee+7#D=y6aR zwLZaUZp8eR`H1FdJX~Li&CSgW<kTLI& zp*f7rf84|XK06lR9WjReG1eH3@jCQUnTlFvA}aL9=*)DS0>BSppM9>CMm6Y^=eq#T z%%VX5Ion=z)T8bg}XCHLWCp&uH z$(+{q`FbA!g=Z*{Q^6zUXb(ZMr}8rH$l?HTK7pi!YNct2F^DLh{HH?gr*mkOXxhaH z*)c9?V6gSzrAJc`qk=`zpCa&FfxbkCt+#d(WX_G()4jWcf_kvLj-}E8)D2=;&Byht zS7OE;4j@K@pEDpGKqfN_R0XYC^?D*x7}LDrz7dFkcVa0y93_rNLB%-+U&e5Sy;Izo zmIy)Sb;)GZ(*+p`glV65N;uutW;CW~<5YiI?5+ZHM}p~V*NW$ccc^%ZRjv>()2Vup z^#0_08s~?{>d}v-c#PFzT?LFXX&ohBK#6_KC-qc0sN4k>xws2rk~@5t=Y5C&3JA~| zDqx`JkyU}^v$#${>+{^}+W6Pp(h{r4WYs6#gBVu%aF5lz=)*CwzA7%hA}Hu*R98`?2rEbVY@7qlipwtjShvXo-v=N$5Mu~X-+Zd`8z%7kGV^iW0Zc+ z*kInz6Z0CnD9#wu)5>TJAlRB(h7hW8G_}cQ98rN?J?sK81h0zCzAr~HYEo#VCjt7j z5|%Q22pXqKMmdGi#Q9Xf)KLX|$al9}Q_AS=HkQ({Q@GSnl=Ygimm|68X?b}mHr7|8 zi^c9WjYd5tph*FbUVGbbW2CR*A(KXi=}X4nf?{b?|Hpv4Z@zac-nw-=9<8pUa8yFj ztsUV3ZP-TsD{Z5#NrMRf*|BOgs)ip(V_9vQd6v`dcOE^7_wGGNa68^;#uPwPqrz$S zmGxG9@MtOSuWrUNa=@~*u^mqUn@>=bPuA8@MijoU07Tc37p?7`aQ}3{=S3ft=2&Ll zI7HU$1>l@3N%zdAFBLQQ6aW)1g5cYc? zK(hvc6?)0eMG6hrk4PP;A!Vyz551AzC_6U|LB1L?p$wF6^61HTewMEVgJv;EFXnm4 z&>s0mS(2VWfTmvAk@-w-G~8bSIKvME72aN^&86q`h@z-n6>E;d%p)q8q$2KZURLMt z&<7Y}SkYyxNj<6nO)8&W9_l4el$n}y*+rXuw%7Q(bx(dz*;G8Qo)=(d3_LuY)4b9p z7x&~}f?AFGUfZ(Ji}Y1q!FB41W_=>+BYHFk0S_qsiZdVyyWo{Bd|?h<#?;R&7!-VF z0azUKn+rCwob1zo7C=OnecHn(#T~(Z7{}J~aIlIy!6`AhqkP4ZMj$OS&>;;pHor^Vx13GBn`g-HBM7yBxEVv(WWkv@r^$ zJ>{_br0Y>TJKB$xNB86Yo%f>);N0(GgkUHOs4|>_`j{X-0T;4m8>4=8ZIk;4(f9N5 z+NWQP7oWNm{m@%$Z7DjfjohH(nH$f<%P)N@Q!1V^e(NW@@T9sHtdbslc|x6uTxHDn z_Myw}4)U>`VNe29$4gz(qoK?-%U1!XMiJtPHlQy!KRi;Qz0=VUZ1%|$h8TfqpsNGu z4Val=(?z`+jAk1##7DYQuOCCN*2O%>@~iI@#E;e*y!s4$wUZ!NK6Q+GYg9^%Co}|) zRggK(HjeWCk;+WWf{A8lrwXs|{IV!hjK%Yj?U+dDcqOnr5CHjhtgNo`e229!-hXgE zzVrV3aUa=SR;vHm$H4f+Q{)9E zd3BZE)j3!6Rp<Ef^D|${=o`sSCp#4 zazB3xdL(qcuIBhO@vVDk9|O=P=H>y8)fnY>7n*2IrDe`23pBes9o|J7N3b+h4ub#) zh;wkjmFT0i!&KozgBwO0~! zbFCmF0R#W}oYK70tds5bPrXxG__-(xK@r{4c>0CU#q>fEG8b`dcedlr_uj~M>Cv=Z zuuzU0)MAVByY07cZObTqZ6B+U9VH@w0QYjixFv)+qJ4>tM&0* zY+_82n+3QjRj!8RnXV2$=G+nVqbKKd2m!$DC;g|f1GrmWT1mQ-m-MDPTRTI{?ai%WEkNCnu(2dKyqLTEi;cj`#0A zh+6=;)r~ETG?l+01PChWn?97U{9b5sAj1;Uvqb&$bWV(oMU!@Gk$bP(LM{RHHrt(~ z)vO-pv(Ie{m9_rX+40b$`OKBs_~NTCrjjtpu=}ZNomYnkV;s3)eD*ecazFz#&N590 z_iI%@S=)#W6qWR^C$;2`h0ZCaV>4sL9={p0WrAsUN6`c0lvi_nGXA6g_&=pG7kB*n zKl{HWI2W)vjcoFK7YG`Us7g22pYiUFbsRw#2WOcX;NVb?3Q`Z_ra3(s)tP?!V}l-) z4m7R`XiU(_8QC?Hw!6?L8Mc6>^ae7fo^v$v(*f}&t|>~^X+fUs^fL0!dMPJ-jAQ2I z(y2hR|7<8m`vG4=voX>qz|_-MhcBcFDN!X3z2@@-d4^6v8?;~EbVa@4S;s)`l6MxK za~6sID7yg_5Lx)OFJ-%Qm~nBO)7xsXE!N3mWAYxZ_wVGLRMPa+xl;AWc60b_WnND< zlyg3#$O#Yoq-uO(rGai3fk)Iir7u*_`OK_KG0MO9u;21u*0~hFD_?r0*Or{tJTG5* zjo%v3!0%++}InQO5)KMS1<#(|!5W9s33 z!SL1V*8s!w1U&$4ypIMXxHUoh{$4x1hnxWS zXn+a&D$oG@qSHcJ=g!@otr+TqFVk6ZfTDuvOPx5|>_$I;TF>VG&}nRA zU~N$s7dLHT^c&vhh8t3%3sj|Os68IvzZd(R-K6zV@Iw`BBajqm9wF0CxK<6Wd=#u| zxSyROH!yI_E!>2L$Ir&Ndp;(n=Hl5KPi4QSQAYdx6r{S>`x!E6aJUN3_Q&e_dThDP zE^>GiEOPVy!`MRi*?zbn{?>o|^Ks*u8@&17KK|SP_WzWhpBQZZ<6r-^xOeAn4t_4s zfe`dSj#8?|s|ct7kK=UW1WIBGP&f&I@^h-mCt%XgX@KM;-^Ux3>;zXgnT}-$0x^lP zO)$6G0gc~-NDcDUgJ#~U$+1RyA3G3+N+kiWjfU%8{A04?BSw6KLCLN8_|5BJ;Z$q} zJFjeQ#Tp7~bPQos#lm2~QaqgLY0-nlfDPAC)U^b)XB8Et?@%~EL6Q?H(a+VRL(Q-04jQgrFtepAxeMlCpZcQKEdo=x+3o$mISoEd8?e6a6{ic#I<%g>w zRVW2)>ir&!iSaoEj=Mc*NHBIN!t~f_yzp$V(wkzq#M;_2^fnZ`SlT96Z}05HE<(a2 z#tJwURT>4*t@NCViTC)K17kaQwset;A9@4AZz|uMjz&TDr6I`JGG@aR1Nz;=*!-+| zB-~ckY36rt-;LW3pJWQ5o%6WLO@v4bfwBYtXi*#6XCEby#(?vjG?}Xt$C`0v5g~qQ z0fjRi)05-jp6bQ2E}mF>-@Z)V;O|nBb@&0Afo@)U`bxa^>Zhr5#Dk^PjO&zF$B+%m z568fS&Lz76z=1XzJGRwoQEwM81RMLtOn^f3REN1Y}wa>O6}+g0WoLK)jEdgQt?K1oIiDCHf!s(LY%o9Qr6 zF6VPNxJZw_k-^o$DU9doaLY*-$e65M&!&mmX;D5?IU~5Vy#h*sHo^l)2`!x>n*f>z zC-j4!ObR2$JNN{I_TDK^OH+EhKI9F~3-oNWZL{C}&G+$u4|%`vP$^!VJni4v?xH{Z zEYGzcdak>{(hx*?MEdC z;r#oTKK1t?jf(}Fzw=LiEABp7iyA=lb6@y!TmoF0NL+At`O4L}dhIG;aWQ7+W&xN} zv2givT)BERXArAk09ZGjD;lC2?k;juuDYsue(p+)jk(Cg85wnLp+#riG8Bn-j38^O z%`tRuptJPaYeXP(x!%uOqmi>OjrvGjnwyAAv*U67%3RFPV)OuP)wkmS-30)qpiOz2 zavd6x7L;Ft%WpsWAinkBW~^3o!R~Ho0e)cb+1bhGV8V7Yp?(G1{ZfGcuRwG5y~Kvq+Q5iRSEF_QNTl@Hj)D_H%mOh0?ALS60NC z;dNd5_!J`voJCD*r&I9F6n!^Ff6XM_>p0*-c)EB{4-6#$z~(AWOI7 zMrfR|b7g~f8PmomfCLb^;;Xk4QSLajyBAv>6rDwdm)||N7i|=e-U$_rps_=TY(p%2 ze0MrTZ&Ysm20;l*E~#ucOVJ$DLWVQNKlYzD!qSF@H%$xx8= z9PtU_Ort=-w!OI)t@dUNHb$U-tZ1I&Za5k<{XDOvR-s>^6=~<3oX*FG-{^DISt?Mz z>#4VGj;BQrLGE>Z%=7r$+ebVP4;%pg2N5oHJ^VcC@zP2HO@sMO%$o+AV+j4xxt^fHgR^(1{Q3A*^lb8uf8tBui0&YDy- z>=?sg?$`4!UwXX&O5kbik#b}o+2P*I|M`FMUs{O^JAU<_{C5ewq(#FiEQk?@Fok|j zlhL=vJsVS7Ym{k1NFo~3)o3gZ#qpr|MUC~`r(GBw47i0R=8*u#w%a>A*iyilv@Sgt zx+yYC!?@g-avD06#?!;5#Nd*oXRh;K(h2m!$YU(eW?G{mz-0o>!CHQInoywRdo{XU z{Ie&}bUGPj%o|dM9-|ER-3bVVsduxt;yhzB^V9bmZc#!>tbYN9=Q4|W+lG|0)KFeY zFC)Jz_q?X?Pfy<2+H#KnXZ`YY%5d(_zkLp0xW*8YMx}`^5J-oL{mk!P_wnLy_V0I}FCgmU#ePd*bY8yn@-Oh-iv^p%{EvPmZr^(plQRqP(kq|N z@!#0oNcnN)+EX#Vcp14j4j5z1;eRtb7<$yxKc;t+hLsu02G4t~p(~k2XQ0G>8?$Xs zc9FHty15xf1Atnms0W=#mW_C~#ZcphR=vyBLkUj9oIf3PNhr#9=SEF|JKE8lJP=r!A6cngX5hxh_ zyn^?sfDr_|v$q#-3Iz|&DK1TFZamfwfc3=Dje|}*4tF+kE3HEW zwL-3!r%`Jy^Ay@ih)|WO(}i4;`3JLJ){#0H=VsfS(hw{h(>MP8(Wf47iGC!5;RQM{74@j_dj+Dcz<{F&$Qv(yE+%F#4s5pRr?)?NlQuw4(4k;k z0boBW@a!+!t)TBIpY-rBK3dTBf&J!oc@C{WU!iDDK`zPub4n$*_d8;Y&MFATB6Rg^ z%A7gPt@ns)r4RddA5hs^U5aBYO!KPgNjI0<9`%z()1$%I4T8R0d?Qa;mtGwOn|`$o znG%FfmtGuO$BQ%R@fmje2^hro=^3m#Zt@h0@{loEL)hMa@CcxJFL%`HV(bYXl3w}e z;a@6b`Abiro>v9e%*0rNM?0vO9?G1z{#`to$OQiRZUvrU9Mev@0Y0^$O<~l8_D7*@ zjXB?D8-2I2lbi6s+9m>RSNRgn`1WM)dECLRzUC*5!d#5qyCdXrHOg^H| z86>^CIW5PyRs^4XuZ|3-=hJ@k#o4#K+MP}Q%m4Df;(Zr){NvyGKQeBN&j@`nT2F=R z>QX%uW+^b3zbHQFK?T~ZU?`wKrt2{@(~ZOa7BpjAnbX?^Xi5jtia^QdNq5Pov@yMy zD$s1WH4s=8epZI17gZYIqvy>O5K0%y_};U-68{wph=p=-WN zhsq-tMoOPvll9{+`7GtxPx7{iZt%F zgr2w$`sJ~!F>}_8q0S+Af=~4PA$+~GzZvg8z6}m4v7p;qr7o`2hl(;@TbZ^1fZjO= z%F;(|d?FfCGrSM}2Po@_w7rs^p$5iOW-idiU94d6Q%cAcRwxvDkLwW@46Fl^(-tx&gCMb+AMgYv>9Z6d zcAv3h5?ia?34w20%Vw_w*kmwsio8c?TF%At>OU#F3!PyRoS~@70;NNqSuE}%&>U2S zkN}f+K`06w538NQ>3pi_^t8A_Sg+G*_XuHKkFoI?7_Ad)%THqA>eZN-gIQ28f_Vj+ zLQ;n5poI4~*W-8?fZC`50uBMo1LO+ij?vPKYP7dEV_<9)0V~Kq%7AML*ePB; zkxdg=x9y?$3vE4Zv{0!`|u61N?Wh3^nhq|!SrG=t_(ny$z{2&~T8K-_t}9BTPN~nvDX^^=;T@Q>gS}JhieLmEoA58IPHn$y8W#^s@`@ zy8DN*f&AIV(swbJ!qs}sQB2R#r~*(8S)soyj)~ybP#+f?HbzJCQ(AS!{V)D!|9Q6b zqK@DA?f(vbRhd=cb7+b-^wFP=qaL9WvldV+AEWBdzZfn;+&@MflQ0fP1iHueV5ntK}Y7# z92>oaVN*+hSr!7B?n|J_XhL`zQvz3Gluc{Y+w<8)KbX213gl{Y_dOSQ<~iglt>xYN z`lV{*jeNuyN=NdpAk&r!7Sq{b-2s$6zAki(0R|D}3+c~i`kP+l?=87Q7y4p=zRF#k z_|Ay%+;ae$fK&;~Cw2V%i+?-syU62Lf9W5_!v}Y%$7yV=t;VCJ$H|vt6Vov>zZmtV zxfurlZ|(F}%I{r1*SYTDo%iF>g9q`{Q`h5}8&5~G*?{8S&P2KM8D*!llQE)8ODl2b&YgJgz4u~yc`d>2$;esUX+4V7osINbx_z+p zJ_x{cL9r>}e5C&b;0M^`dXa~^cz)`sxIF!A zj8&$~MiLmfr^qxkdc42%L4r-=#}9Wq3DlkGaCgIF=-Rf58BWkS%S%hy?wTo-T;l;> zJGF1#(0#zBQ{aL|y|~FG@RhNe&MKLir`~rM{q3Q+ckd`3EgS0%4GyA@;FE zJWpP7u$@L98AN^qsJERd-q?r(@dE7}RM&yUlnIXC&-|sIjceDhNjm@5(F2Li4FGQZOKn=o0~;p3t60t_Msr9>>CMDqv$VJA23RXsaFX zJbDt}x_v+1UtZU(C0b3P<8u`k3akOF^AQ8x88{csJMan^|9P1Ly?`&28XYenNdb-E z(OS)%Y_v%ai}}U$c4{SzK+t0-nOc7h5I~>NN&TZR;oMZ5j%Xn%%q*oI9uEEi@2o9c ziL;@R^fo!IxCLQ)i7BG=Y$>#Suhx*lO2BEX>z>o3=k=$?*)IvQ&IPAMVJouP&WiMWi_egy+=k?%7T7zXu9?lzWjm+_#y_pfT%SBc5S#LgBApus z)2L2FZM2RoRLyMMpvBYYV;F6Gpj%edC0Jb41Lgx ztK*_LFQ_HYa7-OL3(uqT6Y&2q4qmHH+%&9Zc?s}%FW!IuR@}b#Fjh8Az8~R&UDFWV z{LUNk&98kmzV@&Fd3@~;{&n2B{Xx=8<{ULcM*=Zu6oKdB(aEuD+<*VA`1&9GZoK}r z-;Zzq@gK&@gWK>yD<G)fJ`N!gK{?(s}FMsK?8Jnr>5J+9Raw%>+ z^GwE#>h)Hh>2*`atgo-dqld_XoA1ZB-*_{=_VusFzxmo9$2Y(Aow#*daJe6~*}0g% zaVdA~>3IXC6B}LlPA3v{2MwD}NDphyA~DWrPw2~qG)_17j2P)eo>B)V(8>EXHY(`) zv9b9WqMXew#M$+y;uJY|1W)tS*l|G|&-VG!ply_=d&W8s0x!|eYiqodXZz0K5pauJ zDj&q|POIoH=-5L*@7O8Z2f$9M2r2r9xvH!xQ{} zBx>W6*$2jCjZK;8b}T(dDjo%zp50wn{{li3MkoD;vDs;-@Dy;SCyoaQH=Vk*D+DX{ zk0d9k&&5G}s!dcn0vhY&sH9hfaq&Gxcyd1b)NU{)#rhXmQmk$mi+h!U3gL{2<2M;3 z6`yV88K%cVzUDOg%;LqZMsMwG#T)N@llp%|BLXAatpf6p7CdKh%=CC`-C2KgvFZhL zi!q;(-fa7hKI)BU<~!3EF&Ee1ZkcBp|1mr%xl zCHp&v>bzcFZ#{ZPDl>bZx@0UEovj61_{?$2-si$|X0q>Tmt!>m9oM)PV>@m?S&m0o z_{Q>g+U?{U5p?m%QcItXm}+;*w>GE)VHp9=`wAKvhlg~i4A zYd`;=l*V4r@vFc2f1plsEc|@p3_~{+iDT+#p~vG~nLB%FCK}VwMYI5!0u`?7fgk%1 zS&=e}9#!G>MlNZwztFeEA@y7WC3mOspbjp;*>`~wpFX!JNhpZ{cg$1eKp&{hs146V zWpEnWH#>lPtf$w0X;Ke)X|I5^JU^WXdAU3yK!EzrY2N23(_F++ zt2CgIChgJy^x5=<9%ky3hPdzMz66}`wz1g>IH;p>`l#mYPs1AuaIh}D0^jvYp6~r# zzW4TG|LFYrIm#Db{yV(qBcu5uj^FszUx~*LAA~zv*=_P!2V+xDp|gX=ShiZNxPSX* zeDKb9as{4`h{a2;NoXVxNnJ+!q^k*de800DciwwDP7XSmi2b!6c|N}K zqp!q|fBDt;%qutInQNE1u7O+~h7U$~W-}Kzx|u{zZfm@@+wE9hUXI6)9|MRV$DKR( z;ub*j1HjWGjL((T%~;>qj?ON$2W`0h?fCq7><)F~)}z}Q%9Of7-jg;4+|ss|Ud_}W zjAO}NiBSNblyp@ke93f1DRbq!J`F{5@4n%17*U7n#sLiG#kjoiGIDJ(r_To{ebstq zBWWL*rfr4(Y{81ivHjibZ+8nT#*cIblmQU$0Q#jBy{Pqx>2z`&xwS3E92Wyf#RB~? z3J8>6WT8PlnP3+eaX0vT;%G3I9uLLpCikI#r0KcY$<*Pk)>aw@lgMDl%Kptg)_KPu zdd}2ld)ph(!BMQWcjL~J)o5)SYfZ1g2S5E6e+JO`XHTQceV^zMd8d^qW5~<`p!0Hi z?u9&qFV2M0Ba~4TO9kevq9`c?H7tPoPz*JOW4MXHZ;r+&#kiy_4Zc&VSTdtEzSsCv zF`(!mSE!!nt7Lg}%1neoYD_hD0!@GCH#$s#pyIXjJb%0oaNJW6Ai(&okAcfo>JXZu zLP4n_E+D!eLdLq#RqOoK&j95j59^-ZALvvsN74aG!tt_C(&NE3mY!1byHkGFRVz>riEOKhp=jECu|T&lPa3Zmx69Nz|!-1K{OC zt^z2$pXYx3u;JXVg3l>vXxC@2ZnR=;eJlG>+OW;8`gB{;RK&c&>on*T>~2Zf?jFSI z)^^;w|1e&E`@MJ@L-p~}Quc$2)c06Xc}Ae$M42pHT8O8geLBXbXJWP0j`wcgi+A3? z6ZalIjR(P0!=vl|>XIinSjFcG{t>#)BJpX<#OY#yEf`l)~Sa2uf6E-{+?rt(Cx zWa(uCv91<4f@ce;=?m(r*C>q?NtLmePn28Sk?k+C&5$6C3%NiZm#-F$aC0pu_H zk$Qi;*oKdad`w*|$-Si%00f^?ei%nC?j5%Mg(j61wiVgswtc<>?U7 zk3vl4Q1T3VQvQ&yGR{+a0$e%HZa1mNxj14BcM<#}f06YiX4N$r@_}?+_){Y}nhxq!W-6&kRwvk5sN=n=CF0N!;t2!f5R zOas(9X-vvHNpnG)yVOJZ%_H@+?=ym@Loq!*7FV6|nVrIb96%>f@1s2ohYw$~ zMyRlFC_0Dz@GN?g2b$yijN(Qnj-k$l$4krc_Pg&T=>I{7bo7Z1rvn9%eSpaR3IkN7 z@pYK7fe<i2|kw=lsq+B8r?!5(TIG*5~pb0f+-d`<#+L8a$2m@oEfI zO!>gIw5?L9=e-5w$=3Yyk+O*G(VcHh$9jkU0Nf}%16- zlLB^uZ1KK9Tv`7Drf3FN$|zKYXWCZZoFL6}yu(aFs~v8FGKK}^p$=X*k= z4S3qaQXU;KYXG#507;Lg*KuDDym`ICE%OHQ%=D(yKTb(!ImGy(XzX~8_gT@Ya( z=;_q!x#xD6yZf<;B`)B7gdqL@aQA1=o@Lj4C${eVn}2t{H|NaCta-vrKm<9k`4n>EgJZ0sacbUwx zrRtThG*?HR?<7qT?geqlq$=ClX}Bb2+X&X=*~sm#YF(R9)uNcAM>tyco3A+tLQ?nJ8s7$j^q#*^nMr7`%W?zL(Kw-LYpB8Q+EW^^}n`33!fMq>*E3 z;XidjE^wcXq@ub1n|HsvOP&Fll)v(#O8cJ`&FjPQ!+e#f3@a7MXMRE9i7V&g%yftR zV!&-uZ^%LU&dHY3GqVYh4ltsprl;b$k3AQUJ$@}FXqye%=Jhe5qLZKKsSb#ZcEZd$&?gSd&R_+6FBv^`?5=vN;Y?@1agE$3_Yy zHBb_mBKLetPoqm8i4&TmuF8_^1ExeSb|(Pcw4Je5wv}vy(7}}%mbWn6*OzI3`_XLF z0fGX`1N5|OcFM=L*?vzXdfhxameX12&IKq#KadHw7vA$(b(`%a^PfP}WsK~3Kz~q= zgF~&ja^XTeeeGg={K;$a$!8voYv*U;^4Y1lcJWNqXqWfy+)RCiB8njZ^6}tkUq?}N z+KWAQ&00NX#wV$>`8a##T+UZ0rT*FBBO`&aCO~n#5p|;;$-Wn|(L`7RXdH;@tZV!A zUBJBtfyQX`qYz_+#yW(4GzuJtX!FB|0LhG4)BeslP~tH{<_P6~gaSWAczEPGR}gjp zNYYh6rZPk+Dkugy=6EAYmIHgK6t{9xf%$xT1+`jSQh<9ZYFLSqRe}k!LD1o$2G;?W z2t);`N|!TkDwvDFQ6ZL~5Guk=>$#e!qgPch;s9NlF$Fq#?X>DKI7XRUD2W>1YLCa^ z5W=h#e#47lV$Dj>?Ourdwzqpiaf=1C^z zQsy`F$X^k94kgelfY3uw>Z$fy6_Y1}@uHwXMi&Sb#l>&#=$%n$OKYFZH2C}pjnRgf zR-lQTVyJ|@Kr;bPUzi)DhhW>^6fwJ2t#I>Q_K(*xL>K@BrAvB3;g$3@^II!Zp4nVk zPkwZbv9jm9KuP{lffkSsH+^$S-vBx6uq+ z3d>h4?edO_RN*3>1B&p8>u?K;U|0&_t?10m;5U-GT#J{&BEw9IX8`E&CFx4nDewYTGIFT51r zdHL0N`@Ijas8_O`3L-lQuU5?oCk{X-Pn5~^{mz{`8&5oTHJ*9mvAA~WT%4Vmi0N)K zy2zwDhK)m23NI2Uj`T?YD%iz3?*Uvl0nBR~J8^$?BX<~b@%hsZZn%(3n+c-exe>s+ z-iiUr(4HBOCq8j4<{lf1gMn3y2N&5dfY34(nJ0hgtyH$y#$9ekZ@1tQR)vpj)7C|H zo%6i%Nj~uz_ZWAqnsQB`=>3#UK2M$c+`!35G)5esc^26X2#6-~yhGmGe7~%rsX=Yq z(V%i{=GM+S;2GeR9p`+Zgo{QGSt+0OJim)~-|;k+mh3JiVD^zF($$@MauwQPGh zKep`~it$$XrwS!4c;00EXlMuAKfl_NhZ+5`1tzp0yy8YBFE zC>y61e)~7R5P$b~zZg$Eat@xe{1Hr zGM3dNMzZUCdTu_>UAzzz6RyR&8?}L5_?P#aQ!zGq8GSgDI&%uYc{&9rhy7xc<10}}&KNOgp}7uIZ>$qw)tMj671 z7N<-_-w7yrR*5Uvgk!=z%kSP_jKvl5&J|ZCnVgu7R%;Rv2tY)Zr7=!rZtrf#`?ubU zJNNJ8g7YKlQSxjzwnGN8!g)5w7|TQOhq%RIer`{xu0Mn~1et~3bSUYO7h`CA(p~_s zI-r!}C+MK&05WoL8ZhicNn{UgCBdpC@AIy_`u=-85{=#32CCeo+c`iRl7&*6B8Y%A-4gsCa702q<{HhtNv!sj?rf!|(v! zVF)mY&{letE?_3RC52p{C%alCpaq=~paUl)QyJMk(&NZYN5WbOeDac`H?g znhcg*G8BPibD?P}*@{-NrNV|$fjL}v43w%tCBrxPYsLimZ|iCURIFFMrP9mscE0O1^Jm>CkaDnj)(d%*(6R>i?aHbQ zEWX5_#z}IH9G4Z4Jji!dt~s_79<=wM(%I8%@4p=1 zdg+Jp>YH!JoxArCz`gWzwz1;72;dfVGuo%C6ZU3k15OZl;_<8T^y81jGaR3Ix8laei}-ZXIn6&jDp{gS0fraL~BeXVLfYXRv~H4v(|tz&ou1nO{t{N zMJ~xTrLEIWp@~B42zfeiQjhxZOpFbV$IwYFyUoXjJL%aRL}|ISk*g;pf1{LkcDFMg zkXL2i@epzbsJXK*(A>(!+WlIBTJn{{C%7W-IT_ER<*Rt!GNtU{nB(lJt0M&}eB-rT zEA?U7!mTp<-Le&0Dfd|mQr8_%9G&dsDAe`AjE{)s66KOB=gEy_>C)KRAQ3kdCQD?b0ZXXC&4 z2frDgc=|HDHkgz5KK`+%J~N?g5qIUc>n@sZ1bxrq1gzMU(U45PdRXxTfYlgT=uE?nhB&}`i+dX=H-Q&<8T z&_>f?BZz}%soyk;c;;YlJGRgf_N?gWa4X<;%avuiIYCo|>O0E4)r}SMe?P~-x+LDN zy2bCo`!baBDuFI}(J|%(A@AjSrbP8ucAv}J@QLlJIFit9@O^gWYgBP9aS!<$6(m*f3A3-Q6-<@nx9KLW(xB4Ok|(ake#KY~v_!ned5v@iFq zUtWx@)nz{M^X2GAo*?vZ|MmYHCU`dnts^5CC6E26R1v6?7l=V)Gy*2A)b!{8*vi7n z9*clbaCps%$T5mU*N}X;?I{4P@v4D(QR~$)j|P=;E|3i24K`qYWo2l+B=925bZZvs$pwSE-}`QL{b@2%a5B1l_x(HQ}bu@Tc;7$)>q?&AAL80n+AlT0&&HQ zR{&-z2FfP@w98CylUAg={N(ZueSUPA34^;hG#i>%rZEf8|^7t93>!O0Tqn1hriAyVA=1S;uL3 zknkLU&NVc>R(WFFamewK#qcV;lF4x{obh+IQQq-J-YQR}ak)-ASYF?x{#?eR%ue?C zRNBy1kXm@Plv6P5%v8Iaojfox-pwxdNsca$($zQvVB6E8H|oJKnttB=pJL@MDF542 zUT5>x+uzErr`*q(vS>t)*2ZGyOe>ll>g(7A+u_ml{Po+QG=LT=C3EkfeA}xY%_46o zQ5H`c`)o0yt-C^IDK01~y&UqEa!grJ>caYmk5Ndq(P@-Z8xB)B)!~mOM`xU)WVouw zQND29OhKk&k_*fvH59_$Q4gbr>n@ZH=rsK*4|+4@A@h}TP9EpY!uQJIQaj3PWspCW zYX-|J;7cQ%8@6X3De2}(2CtRt9!*h?t-}yI$X@9POPI?kCR^<>^W zs!!bADM6}y-#>o#xzpc4Xm4{-g42F#v9Y!s*KgjZPLFe`u%{lo7FRCL$3)xVGlTKS zl}qut&weUC{h5!)b02>`9)IS!xboC9F@N!L?uo8%X5a+Alco;&aODDxhXX*&9^i9x zA&z?RJbG&r8F2f~eL&^A@vZOuFkS%oy!p-taer|IaOr9o2jTY1?z`?7%RzWZ@+(&y zhNApau2*X-ixFH)QoV40{Z{~|v9q04*G4t(ATIdjt*l9!Q1=fZ7)?SAIvG|29+-H&_Acfpdo z2~r&<;1MpiUsCD4)^OH}+#f#5Jt2>3foQRsB6}maZ=sNViwXhO*me*sWcaX!q>=ARR zI@^H@*$d*GXW&wc3L1OMmNv;7;K)|;JAd>j`yB+K zf~#1Vj>!@Dk7Mgfy~^tp^SP8um`kpGOSJc#KHLU80!CC5?bsiFhweNG0ko7Zr{ z^LgZu4W942G=a!n!DY9(9ykS)V~0*K6>^q)amSG+0(@jBI#a_~3^aiJL+O%Wr#Tgk zp>Fh!u-0|MDvbO-Ojrr%q6i(QR+!!VRe;Rkxt>gch-1t2pgM+8Mm(XS#tg_Gx?0jZTidDVoe8(Pc{dL0$2quJ>!P>05hLcmS9KC^OL6vHdi(4H6L5KM-lL_RfqRd@LU5nQ4MZsY59oHMJ zMgl#B2*m?T4@I{#6B84&QO8uae$&!ZX-Wr#ic0>F2D^OsPAo4i|1fT>ne8i@f>2bd@1QmWfo%Ax_UALT_D61w2%w6nxo9JwCckHqi zRAnL?Ssv@4`euSo?)dE-XwMD5Rlo%t7z9<>g~UC( zpj@A>+i7D6I9UMz>e`#*fYEj{+O!dO8nF%LP#f}c=IojHU;S@RcL$+YUilMb%Ra`( zZW=c>|1;-108NzJ$wtaac|=)b)3eM1j{-DH{TO`CdiyX`Mv5{?3Kf~DyejRTNSetY zUgumY!d-kvAk@i?EcAfTl4;K_)Gq(mh}Kg9uZ}a*aB_P;*U5C15i{yCb$f@@UyjYB z-g4qmN}H@dfv&tHYnaC>ST1=x`9A@2Irm+GpLtDvlEAvip?rq_)EmBRx|Xj3e}&)5 zP>4JXr!o1_c9YcrJ^7}Ilb(6tzD#lI`r{&pjER`NXsF+{d1ckA3P>@yy3Q7UwQM z664b|7)}CaSptH=cX~1HNZH+S*cWu$-H4;D#W?A0#DK#q;HTxKmH6O;oAJUAUW;#j z_vQHdw_l9!zx-NUzjc>-jx;DY$j252t>eE1o9=Yx&PCRZOZl{0t#JQzf7@o1m0Md| zxqjz9y0d$}6?Zr8rS8n357u+aI=7s}5E&KhAy?ruhdH_Srui3a+J)Xk&-#w*grA`I z-4osC5BGEixjd4)3!S7Pes2CsOix~lR%<#ztP^{53h41)-C2o+mAmK~jC0;S7Fa^+ zQSzP*fp59M`vLNFXLB>_!S3_=1q zz`0&sCqubej6GjAi=6}79qmcF{q^7dom`6Qr-i>X*!-7Y`XA!Wx8KT!ruR|eXWQ)G zPht^^QYj$B3VCq;P^_La^HPmAorTbbq&Wi;QEr_19bu1++&zQ^ur8g6=8pjYqjPZ- zta^Tm@>dzDn9I9JoEU5Z498#vZun^hR=qJ6-D#{!t`|{58r(cL|41y{TZzLFzD0#0 z(o*P4;v*Li#d^0gCGs&DNv0*JtbHoIe7s->X&MtDJnaM&g9VeMDMz@1!t?smI2!x=6!( zT0vN3T)N z1`W%xAwyJ5?jSUGik{7_wfO$)FQnp8;Rx=egWH*^_FVMV{L35ipm|pTtAN~n$O$b5 zI3~;MQWCBrpod8-?{McBYkih_8%Myo)02}_>`v(`dK#qc(A(9TUPiF(&EDF<|XTkybkef2R>;a zSl8X9YZnV2t91!W*70wC%OJn!Bp~=zy`J4eT+iA3=83-ywo?wKUmqQcGc#D(Ib;KC z7vQ1AyXJC3Jw4~Pv3?sj2mm~go^8dpAmDQ;A}11<7u$3JMVelPqny0AxV#d#?=8gg z>RJL@+m$;7NppJ<1eb0gP{6Y7tQbFn3B4OGqojZy@6VJ?06N*t*|IMFe&NFT_`SdX z4@*8zDg42o{dcjnwjAr5YtZ#5<}aY=IvBP`TadZ5xxx>w(`z}0Q{Ebipf57lwx?{8 zxD|*m;LIAV+Ae4Cf?iUkYN-<_P5VgRLRKJ|Xs-gBag-Bs1E87S%pu1!s?1T8)Q7cL z>f3tWqR!x9c+=?GpSuTJvA&JmbP^D9GeNU*3Z>|0^+sFAdSlI@`IM_No0bdS_nKwT zdZa9c4z?LJfL!Er(!ui*3cX5u7i?x5;cslTp1@A8tX{=3hTbmol6Ee}Ex6?!>6hd3 z`A#wD_-?JZ{p!TC{ zIy(k7BWVr+UZuN}u#C?={=3lcbit+~$2L@NG;^$;<5Tb4xf}QHFC>kgdG@LJ#AiPj z*Pi)U%$~cLUA)P9j%`yiCEbQ&8{M^V^Zi)9`Cja-FJ%|{Ai!@JnJE7`Z0YTHKZqA! zelx!H-5 zyW|7vFTK{t1=ol?d-Y75bO+=9#v=C|J_9f$j{|@u_x>J2R;bXj7gU`{8m?oRLy<73 z97Z4j?d`)C)?eQfD)a6G%-zb;H7Q+AZF+Jx&VnH(#xIb^4$qeP7-E;*lU{<&`-}Io z``n2^Fjn5z+b&Jyy_^gT?bKTi^Jq*=#t7Kp7+~(QQBGX)+hUGUK(AxKT}I9Of_Enz z4i6qh9i=rhG85C|u2YPWgUofQzGe%9oHX5a>9NNijpv_#E4|k&L>=aloq%ZTgMh`t>-EEd6QWFYnp38~ytGsQ@d5V&kpO zQ~1brFoA+l`Jq@)RH#S7{TJv=t%}V4ux$_VK8AAmP#N>3@+9{PB6+SlB1lSGd z&Ikh|2p--l;E~3IaCP|_g`Ur*cZuW_LNcdJ?pG9CmR=>HvT*RMYy0WhbYa`rIf~}s zbWC>Uqqha~tgm6YV9C;;+!NIXlHCEMD}Y>ETgi2{4)!+@PpoLMmgr3c#|<-QUtC1*nX@?<{s{2`#6DK#kn)h9j~-I-I|8y&FugEwBxGPu~UG?Z3)IGpw8_`*XP zjsu|e+F9?`ll<&pZ3~m0y;7Cg;PiCp@jU4r#oqd1Oiay3(=nTlCA1Eb{{@?RHOo*2 z*Kga|Cq4K~;3iNqKRH7l`k5~QlY%Ad47w*J`RDa=U%EqYZdTr|tXx!9GH|vtg}Rxg zIlyZIP3?;YJU!z^2w2C<8?Jj8vB`hS>kbnrirKvCU9`@qR=#2MJN8KQ+s;G5XUw15 zKc1VLiVgzHH1s~Yb>uQ_#_eaT_mY3)8+pbHeWF?yF5Er=2o&(;kQxMe8l60o^Z}4- zY;I!^t*&pzy``17v$&K?AE^*pZP(^>ujG2RFFhQ3H>?kbL})0KdMR`gfR6B-#zqV4 zUC-zA)I{z;@~gk`*UjCjh5zRt|5xzoI&JqP&OOqOT4$3wag3&A$G}A?Ns7|lOkGhI zWn8(Q71}uUlU;v4ByC}f9KPWgM6SEAxO675B5zTydh65kZU(4hc_sP$*h!odQ5)&P zssOS9cp9LoH*>HLeq>^K&spYrGkd$+q)OYDZ{VN9O-MELc=d5OOr5!qyI_^!32~&3OIIx3h%Ad!UU$(_?|-@F?6&nc-!@nz}F7t(0eJk0V3wRs=3^3~+k3?4{HTDF6jz(jEkV zPC(PJou4@uGn1F2-I+rc)oCMo1qWhf6Og%fKQ^}4V#VD60la&T*Mz?`pi|cSCn$9m z{nmE!=m;{dH8Y!_)18F&kR48ZcGVO&lyPE_#5z7Q?|bAIBLP|G1gH-05AO}fSHAjc zy!^wrV{ysNHQ;s1&j;a0+9G(O4l6Vxg*-77Q}uJAp(Gsi(D${Xpfxk^??V^jqrWfmvdZ1Dt(%@ zK9wQI(ZGOdC6GFwKxh>3m_kh{Ma;&C@UIlA0#Z*)b`R0$Dldy&n_66srzl;PdLR*E zj^W@t9V)qor7;MIP6c3ke9ce^VFhy>ZPG}{FV_Std;pq^CNMB27~;E@MbUNWq$&VF z0!tW6U@4$+oQR9T%V=7DInE>X78Ibc($?`{f*FTCm>0)knv(*IR1jP@pD?OflrA|8 zf*(f+o1GmM05tHKkIZ5JfkA;sev0DKP=NjbkPcv8+8DA7@~1|H9MeBWTbNKgMt*Rl#Z zAIkd%-?yF>ih4;CfLcyKnd6cK`#Ir_eCy={2asR8rR~}#S1PwYPiB6zPUYjm-wqGp zi7Y3d%A-%1jQR4S-_+1hP`MO}-%tMLn+nShmm(@WQAI zG&IC^b~Y1~=?tLa(F4@s!B%YSuEqBL1}PsvPrW$B=rv}yv~`<#_Pf+^mPhuM*GhX$ zUdl4~O@C_)!`I1o6f>XWgk#n2e6HLl<~@wVQFsH8DR|DUG*P5!Fy^-;7<8dL2Zw^@ z6?kkFP)S?m-4D}LP69kRN;})Z2mscJMeW8^bQ{wE+3^^KUZ`pyCiv}j*hjp%x3c5khUj3yRUpZZoK-vSikjlbjAh%Am`)a zmGd!;aXJFXTwYp>AN=5rc;Ur2pU7+hS}1ymofBVr6+L$7L!5^sqe(z`SDeg(f8 zzs+1us|C+Ee?!?@de2riRsnkp+5l(XBBkBtiUEDsz*fkxWcbS$bDsI)!ViJ{|*mE?Bx6BTdSHkgSBB!YDsL%!RIx zZHz_urIqYg_!dP3KF+HUO1C zYQI);%w{PwiWu5Yblc%#&3iOpjRC=uz|CVL0SNa1K8{1PtIhKJp6iV{uGcP#W5)<> z^kQOqK6iR*HkxT^R)hEx01)l&v$puNTpe8ck!|N6;(jP7p7+UiF1PMnA`kgFKDvyLFo z?+Hj<2E%2_dMWE{Lro;2aKO8*|q3#j|tq+*6Om#S7~Z^Jf4rZE3YlxdHAc8iazv z3QS2enL#g~G=n}=ie(bCDcg+lo@GsX=R2}V=@GFmy_PgdzA7tG=)D{sXkzb=11_Bi zq=8L47;KOh04f)1FJRVsl4rMfx8NUmP+3oUhy3mAZN@I3%|+WCpIN+_$_+V*N8!if zZ7=njx#nH#-%!cbl!|;nk0ov57OY)S- z7Dk^bOCOaU8<#+FQipt(yu;svi9fVE<*1%Ym)ENaUIl=FOTCz5!_dxdS3Q|}F9D%; z(F-!`HH-(2qoYppRE}$u64CUY=ft4=4Y1GO<@oS#R~V>P8gNpP=hrU(GPKa+d3qt2 z&dK`XyU6N$)39PVu+n|G-H z5x^#fZnG29?K9D>&1C)M^T?k)48N7_74*S+@}T1`^=c~D1&n(C_2TNSbW+gXHlX<6 zFeeSw0OGEB>4N$Py{+`V7RL|DSj*W5?bYXjRtl6lb7QsDt^r z+4$|h@wej4xu3m*&_@QF|F1v%{dn)r^#Ue;0zek<*pD`3L5Tv<{}Gsu;S)d#Bn6Nq z0{#G89tD%-$a5S8nu7vOtt%sG$P(0Ff&c-I=-)0k^Pu23*~ik-qsdqGe&*nH1#T)J zbHh2mJqnV>XWL0km9gERQ{8iM`@K6c+C;<+qvWV$g`2Ynix51}D$>S?XyZ`UD3*}0C_CKd#?8hNK2wUKC`yd4|ktn~u!3W(0xzII*h ztRd_-<8Tl`Nq$^3IT?;h-vezb%(8({&VK1&xPb(lmGaG%0cbFG(<#i$Brdz`RAyRM zHbi(@;gStaj|7T81+oBjBpX^j@AngMQf8hp%7}JV=0pu>+UC7Wk9{1ld3s|uSJn&I z)SDq_)JxgQF-J7iUB~hu>#GUm1T~K7(o5;W@7Yc7)6k;|p8Hb|fcykW zQ;<1+)lhl9a+nJr5eTLsKs(dozkKmbeERuk;^O&p(atUKRMLWc+aKxm=_xI$^ZcFX z%8DuiJOQ2NTi`i4H5H%u?B_ENrxjkm`K4&I^soRlkMt1Rrd5E{xr9mT88s}BVbYvm zmM3Y-4@#ExBh8ct#cQW0{wQa>%7M+!h`Vl zzlR=lfz(^>t} z*X~8Vx+P6}xX@qHmUQyFv`h0Kh;;2zClxiv+Qbery9FN#(Di0151=Wa(dX)b%Nk&` z0+}PO8_D2Kt5b?%Y-xhX{T4EF`7L;a)i@`X=BgVP0@0vGjG>LLhJ z)t7WyU0#kifAphx>DzxE@4otStlYg3N z&Ce0-P_XH_-yhK!w^xpL1fm`_kZgMc0P7ZX-CNX19gT~R%*N8vR;;X)4LJk2HjO0k~ydoIFVx;?>h)FSCO5qdO)kq*M5rl*6v zr@#>W0R(B_YCZ*=T`)r@BjGL>Zoiov!1wZ~kfdU47|Jo^aSAF!QJUm|`=*-$1Z5^u zD%hNzCm43DgUmGmke+PK#qRcQ4ia`@=R((_ko~5N>-RFEIQF+UC|fVRX~}3RS|0X! z8N@EOQ7xLxv!0>yeF2m~Pmuy3JtI8gY~P$6D$x<+6@!^yql(IO(sL|53E3@9^jh&k zSzqSSvX}0BK8nRfV^v5Yxc?F?_8%6^w%H)>f(gA}ZV$OZw4}i4%(D$mniN3qtmmFo z;5W*S#+MVzl1}>wl>MwvXIj?kC}w#m>kA&tIw&9@yNCP2Dc?fLI0()Y zd}KEB-74=!>qgKw+3m)qGiP$>#i^iou>B8CBc<$*Z=^) zE&%hl<&vglh)(_%5V@E(pr$Aedu6P9K<2T=LNTNyk^C%><*U$Bpy?RHrks#K)AM0} zbB>wJ^F_|-%}hf{qY0^-YYLLb-TgA#yhl86_Z)atrjTddNyjR->rokE&rvl4UA`ep zJTLziUMRAN@4>UCBbdzc+YZUIZ6SF^x>!p1FTr890e8r92cYqAccTWN(6w?MyK9=3 z+ph9s0kKDvaV}$nUV(z#Ck2xs%4d2jow43&Oh>md8{PUeMp(CWm7^2fPd;azkJ(i^ zi2*wmEshPxZPpyW4bUBHq>)<s@b&YXi^^Ey7`d+^4y?ln>@Td2xwse|7 zT?EmfnPafs4t6&d?%s*-eD$mG`~UpEiP%zZEA$lTG=|t8$Z-(^qkIv1|4ZZ!Pc*gELG`OAuCS{_J24?sE7zF|d*B?xf>7aGKsh8UNR+!mE;c5UX zcJr!t$Zp4CuoS>#=H)r-(#o>OAOW8@5H`w0^Q=;{PI@SJ+f;LiHgb$0n9wd`SAc@VVVysq}5Pq?eIr{hr^pylrSZHPOl0;AA3|kps`y z_(o5I&v$rM`j@s*y82zEz||Sf&rZj4k3SkSQ z9sAg>O#+tP@dZF=KKX9$=wrA3;T9>`Yg0T_rma^}FyVN+95;#%aIEDRV71+ti4N(x z{7^OFM?fwJwL8?EzZ_TTSW1U>jOlgPlPTy&X6wbRyyxjzC#HPppBMi7FnTXR(L>kr zI@j`EKYH!#-1C|D(+tPRFm;DAaPj_~_`!F-9bf&!KZsXfela~+pZ=xKu-G!Z@hgy78aHPgZ3ir0KV2!E-G8? zJ(PFcbYK%%tTB7$+y&(GaQx_%SK`*Kn>o&L1>p1E`|royd-wPrx|h22`F%j8?Z#Qz z4n?!8e`;nrE?znxYsdFud3PDUaI&a!O}WI=)+^t&N6_)?8gE6v!Ds3M_|bjbbL~v& z0BcqTpFmIV}pyp!^4W*&PjG z^IU#WeyfN0cdNtR&gbpWQfCIpNcA?A508Li_a5$TF8GEGC!c&W+HIFRYQ)n|K9)L7{bDP$ zr?2RM<5*u^jvjPQEJI!e=hYmMY9jKdKL4vRPo4d=@Ry$;L{22U;};HydLP}lxWvQg z!7wH6KRE8Hc!_(QJ8t3tLKu&N=#hAw5i2;1qH94M3Xz!T&`1Sjw>gE&DlP0){QgO^%>GE_J6q(k>A>*gg(9^*6F_e-DevrHl5Cu`DZ1=K_ z%a~nv)i+Zp_Rpn_-zU1g6@)3|f(Vs@Oo7Ow=@H{xhId^xg9DnY+5e{%%=hq!jgGvK zM?HlSqmzySJPCWNwZX%yx_4kXrhgZ_mb8RJdE%|URIQoIqH2tK9|n@d--AR>HY7~ zE{3$i0Gpc#rwu`)GbgdQ<=KM+@`X@yOpe|}!JvHOGDJ0pauA)&W}*-BMJ%8oKV&Yr zeUj^S>Mhpu%TrlK^C#T|8MX_ll5L|O<*Q-@)KXDwZ114h2V=I|jhRk6hh8`n(=l0G zj){p@JpS0_ICpN&r1KNs_96h=3k4`Gq^wtu(i-I^)(drdJeYr4g<&v6 zYeVhy(ow@X3CL|HhX*R4iGc|(3Rd-I8uyWbIV_5{w2z^?y}ynjvKdE%%4_%*dEi*n zLyQ^~o_v&nd_rk>sg^*(^PJeE>?32guY4>khkt#8L8T@D*HusfaCy%*V!KN4%C$Oe zaJ)GUuXM?^-fHqlk`C$V^)_jLdNLih!WZl&KPul>Y4IzEjacF_n4~dW2VhRccw>%p z=>g~=&1(4}L1hzA>qMVsW1{c91ZV<0%drgQ&>#>nl&*0VavyvW)4OR*Mg8IRjP^YI z#ROzeJn=+)_OqXXZzJwpe=lD9!AtQf(f!t! zSC)8hF|)XyYTa3CgC7vOU}VoP15Q_uJO7GtBjD3dr?l*1F^Hhdhad z<$K4pH?&4#5qI-Z*4p*%n%5RXUK*mTlqyCk>*~^eEU!6kpL$$aiOH@@9*xCLZx7kK z7u$PB(Vdt{I?JOulb`gA^#;aOtBIT@ulydi7g(^ZF02F6(Sy=bz~1h3c)vJuepX2G zeUz{dSlLCm?NV^T<1Qd^{}=)h_fI@3fQWqnd16ceX?Kdm<*0>WgxDYwqCoPYs4`X& zd;GC`TERyERS1A^IYP)dIVn9JcHbFkpb3Do@<;=4c>=II(W{w4uLv-OUwZARFxjU} z4ssS5!nuK^fw0XQlnqki_mwYyGHOu}C8_{bVg$cTmNj{UclB-xGIQ_WAppAr_;Wm# zjofz&*i4%74Zr1bTY@izh{8ngv){DA9#YrYHA;q(j=Y!r=QsIYHG4O~aw=q+@}Nq$ zs2XFTd3o0>zUygP>wI6}>uLvD@I3^?9#Uy=$gbjAg5)#?%mam0*}Fu}D8k8Y9j$-) zHjN?+RQ~IKhpO9w#%oR7@Ek-sgv`x6;1kApvXtk@wsuJzHxL z7;>NOrVQP%i*Y2HPQV$p+uw1f%6Z>#2EWVQIICapDm);MBkt2nb4cCO4tN?GKtsyk z7zR9!&cSo@*#(~f6VUA>ooYf*yFD3gL1uG28i1f$op0A%bJr#8lmmju4~J+Ju*g?z zL(u;xV|p#Umj=#5k$VNO{zT051foLY(+}^y`);hRt#dXIQ`0l?%qKq+pZdZVDRv>Klstxaerwg8=$+?2u2#TZ70YI-jF$7%u`g-+JqvSYBL=rGMO6r4}bV_EbrWp0av~u9Sx-7 zhymQWIt?;#Z(kWAWKsqn<^~J)0LfK)>+~2_IjUgvVb?VUq=m~0dl(`v;#+_Slt3T~+G?)9X%z@lCKO-75xwIT# zrL9#HgG@t%)FC6uM(iqC?3P3$j{uW@^Z7h&E;`_&T zyY)e+3CrNlS{9Hy76S@rxxDAmY^Oly%TTD?OEAk(%1{oUwa$vNd?@&vh@6M@vk<2i zY#{FCy1BKJUSRVkZJqUOSFK&yRZxIrwV*7sv6yEYn}QOsX?J-OrG30hSr2W@E^nge zNjj7=XWetIa@7d%`_`+wtfcV5K*&0vfvfzaf9Z=VbSD6-X8VVTt30eid>EYyk(@PI2N7wE9_$NLc zPdxQ33Z|U~R!@FJaCTeuxO{#-KK=2J#p92cg@pwy=EbpY)>Ed_kB;${w$-?*^cIj# zQ4$4w4rT0v&r)5IFOR>7;Ac~AJjj5wrd>j7>1(+xOY)-iiUHiJcM9)u-*%Z@)hRz6 z^Xo7jd4Y8JbE`!6{HZT%1{h6X$_weoiOJ3WM{9-`+_XnROXjh_{+RoUpggZ zY_F*%`e4*LB&vAbokvjUgeJSVE$_*I9@gT0${|j~VTT?da0Qp6(9@-78crSpU^Yjm zqB$}XV?!?WG?}0qN|Artv>=nVULOZwPNgR^*U;4YkN~qRpX9LsO^i?Io#Qa|lp<#> zV;T?q%asK(sw+z@WiRs5R#3%chMyV>e^hejw8IA<+=`9O9m-bAv6D0N=c3Ubw?$cHFpr zJ^tYT^9S+rD?bAK9Y(7)9$mn!TQc6gb1MPsFa7ct;{3(S=u&sw>jHjf(+SWeKaV~3 zL|njdbr&4OK!QcbMWO{__hdcRbBGSQKjj+64#ag*WwlPNGE}}**Xzu&` zQTU7eTMflHM0f7(z;_sUX>jS)Y{cZmTr`@qF^EAF7$-yB$v9H~4(nzsJzhPB#E}>E zy!4T8{H|?DonhCs!Rup9j4F=i*vVRDzK3!GnQrd}X}Ii?4mIf*MY_zU5?6K&Ff9-@3cNJMg1*tNbBv zVl?$zw)?*TpDMdPQpiD~2!kqS4RfqOWsc!_ATWp)%9wvNFY@G)Nh$elpa4a!k3kyl z0D#dh@FBqDP~G!>L>U^h%SAzBdJwr{g0!qvJa!xI!6bmp;RCMqc+NE+K|S0~RIUec zg!F3-8U;kw!Dk{0b!XYFZ36@Y0hoeA1zEaO6{acJc|0c=r6QGK&5r=jb48=4k}TjVk8-k~Te;4~PH$s_!gh7(KY%g3dS^&7Fh>nu%&4cHC~-CSbI2}mv~ECAALF0T}hhA+wM z#-`vU5_C3NowT$I4P8UC9#1{~XgvGW6A14nWyCn(gSif#Deznst5E%hM43hfJgX>; z9)M2>Lse6L=+lp<9b7U@diht{yuA*V&w7yN@GJ$g{snZ&dwuX!a~F`28uAaCA^$W) zT;0Nj>~oUKXdB?sd=z5IgV2fhU75gzu3dXqB{PCza;?w3 zqaBpwUh!t8LqQp_k3w{!g^Jkm;Z7XEu<9$qp7ZOcRC zgnTk_x7RlfomT-1i~&$G>u1qOBJ2X?|5&I2mSM3M0o1SCu44A zE`haxMcuKD0e}DAy?FPXcjMi6-;3qtm2`3pL8G%5&c~xyE<~q35*zDlvAVhz?kZ+` zHz-T2Xn~PqyPbJ{ZhjuxH{+dm--$1O`OES88*f1~cxf0zzty5XcVcaIG1LC^=RTXg zDL;Dk)p+Gcuf)6WT~9F7fTd=Pq5&#l^2&n~9yn?bz6M{4x0;|GBj^ zt-;?XoH)r6NE=X@I zPLQ)kT1{;3ZpOmW{aiZ8NkNr!E!#Nnd#(t|^*?EYwvyp`Eo$wuq>=L<+}@f8vpqQ* zUU?z*(fgXZ2DVqm+qOnXp#{ws7mlcdjT|3qua5bb=lA!ZKk|2J;eOPI2V!#E?Xn5z z9dn{F<$mw`q_K;>mv)ZxzkcgZ+*@3MCy`LdpWz%*)_}LwHw9Pxyzr4lt%_0ajmQ|) z#vjd0Wn_axR+gQ81d$LXfg@I5-H3JVT9YuNOZ}8Z+IfzOOt6?aQ4p!DAtWG5G=GRf zb@1#yOdxnLD%=u)@s6yVYfbKwpKX-;HutsxUONa+KxP4kRb2>KFv6crkwBy~AXpA+Iu@Y>;Y&Ld*UFMJH z>@v4I(eWLwl~z2+SXa`F`$fnDPWYB|*MsY%5ZCGyNLUT-a%7{(E-=mo!v??Sg8Amr z_kBeosVpceu_&AbOk5is(SuyxJpjoCPacyG_4;9$aLk#Qw!wTF;d5YDic8ZB zMZNAo@J@_(++NRaNcTVhZ1Qct>pMtyKuJUsMcSd=w&B&9U8~ zi+M;MfY${f4V18H*iEFzbO`z;@ue$ezJ2?4eD!NzjTc}3LA-n8M%-RrjfL%A3?Qg4 zKXNU-6}HD+1YM@hpFHRI)PIpb`zy6$brWN zl%vDr)O-{9i7Yu1WVTUQE^w|#6IGOSaqRLzE@|Y_M)tP24zf()I=+I;t-X!d%W-Kc z5}$W>EoGi<2;c`F+P+G6vOusX&NPTPdM~$vL&2E zyWH91oz_%zI#bzQ-fE7MzT*YmC;(YqE5lBVWfg<63*0FB%yITb&IzC4Er7WoQE<7_ z+l+1KSHLAv(3x=yqs$>En>+&mAo^U1Yk;Oz;#&T8eO{yIJ3Hms0@P18oO6jW0G~sH z+-BG1Z*F|>LA?3Kn{oH{os{uY)6?q7}k*$FMRKX_=7+AgSdYE2BihujkROE z)s6j~Re;f*xbo&6pgpF2odCGpZZf@_kX5;yPAh&4P?zr2?%v||hA0n}le1Hulo=`G zkw=x>wpv_jXrePiS?1vpj3V^D+f(X=?d|Wz!tz4gy>~ZOmzN6IL>BGr>?S^t=WYAS z@tv*h%!`hXIsn``8uGncMeb~G<>%51i;PrvmEIfmKJXc#Eq1{Si}B&3Xb(1GdByfb zJ4A-hoSTgK^Jn2h^^_};48`0;o4Pw6jnOh(%(U(Kaw(n9T4B@LToj*WhGV%zFG!_Oe$1_4+pOE#|KpA`7n9Q zb*`v9D~cRYUPQOnKa3=x7#1)b4q&-W#nkKtvPi|Iz%7cg0*5KMJre!W&hk!d-r5e} zOA2WLYzleuq*v4Np*9YMJyeM?1pVm#aWu$J3jsNjupGbxAadwK)=lOer6!|tlzeu5 z>Wz{n+0EC_OAZN;rpBxQY3u!>C@qJIk+Wp{;vLH>IMtAO?SpRXN}iJ@0_Ow0z~tBZ zRrqYuh@IJ=W#L`v>a!X*z9)Zft!_g$J)6*o^el4%YWa_&)uRxyj`#Mk*ikgj;uTQ3 zjF0*8+i932M|>E}ry*&d^oAErlXpx%@B7=z5)hg{Q!yE?7Z0^L#{w4I)igA`uLlvU zdflzu*7<#$iqoBU96zNubCk3c@_KLV5-H0r0g$=grY+5Nn{jz=GA_<^;|$jCbh{DV zrrnM5D>UF)CmY!{=6Y<02x0S4@h<k*T#$2soSfn!MnzoGE@;j6F4H@^L?xOw+Z z>`~5^-RF;7iHlbrNg?LgTI(Vw{!w4z6@{nXd{>fC3}_&wp^1DDgeCx`++{u4WL;vR zPsv*WJ{pSV*C>cP?O=UKCxMnmfu0Jzm)Yhs5@LK$LkOe zQ?SjsOpgn+4;~?VD3aagwV@8}5Cu5sTEPX-nZ6!)L1u3sfUhw@T9RmIA7FH}1<+hi zIbmI?h~;bZERQO~pf2h3d6(aY%r|!gW`Z??y((TW?aI0<%jo2gD`Zi6;;Y{S8r&yo z0JX;)Yuds<+(U`iqM?IAxv4jUjH;C3U`nm$XB6WGfH~X*oK8h+#POIehXieSUQnE4 z+)$1!z|HvhRCI|=fJ{BdVK&o?nX{s44-dv)l8*1@&q zxv;Ph%S#Kfw~HLwT8kU+y@|~GAXfJPX&7ZvRh~J(FxeMFKy0|Tw0-r0JgUA>w^J`h zK_?m_1&Hl(yXTT())91}J(RJWT%c^VrrY06rB~d=?o+YSUUdMuJ>|;!GV&Z91n_jR z_Cv6bSg7=3IYf$Qxd!uOyBF{|hr@OOr<1>3SmJcvbdPiST;omsrBS=K zww6mEY0SFXz}ydAf7;8jwMm>H(0&{fb5Qa5TUztg!uV6Do{(RL#HR^Zt{h^T1!b1YCw$CgrFS>IYh<_rNRFG*OM7BBuIZ3&dZ14+*l47;6Gt6R>V!80l5HKDL6GDVp+OfOyf8lQUabU0KhS_uO-@r;LS{w|1fP?lSyCsUfc3N4vR(2AuFy zhfkn|n__UDv(0l^BfHHV#!+~(2Y+n!FtXqYLA;xBxGdK;0JC=puN=9qCIAQaQ>kiX zKj2mAZ(~Uwv>c^P+0HdWQ~ve6B$Am5%4q)ein@Etz@TOHT>-bCssK-ooZ4U`>O(~e@;RJ9fVnRy-!0K@acAY90G4AA z5Hdg;aA~MxuRFwqcw%%Cmr)S^VT4}A!mkSZ)ZI=R+mV# z%=petKbr6?@4K5#M}u^F8u_ss-}%-z<6GbSR!&Z`t9D{)HpY=bI~xn=!R`3;r#}-P zd+uXV$9Pq5x$B!AOSgtaauS)_X~TcbDFB<>cOs9Fp>S&Uj&AlgD63oO zVrbI<#Yob?95|+3eQXCV7vl283#oG)s*-{HIJUF& zjN0DBa3!h>)$JR|`0F=r#@faPbl)eRv_XtES0+*i{=6W`KT=QuAJ|X-aHK*Xcq0`G zRMLY;1!qJ+DWp4gZ zD(g(;ko1F|c0V~uNQJBtGi~W#@@Y*&`t?IAPPRzlWOMCnafe;_ zjBUlSkvR*S2TL~(;1z(OH^_WBZpX4I;N4A0km>GL>D7dHvfHFz_I9ftXJ(xwQBN>_ zZ)H6e*0vCwE^#v$)8p;9dj3p2ap`S&}E4FE)qW3CQh9MpT# z2cG~FrHYC{-lS@g1*FM|F~O&io2BcWnDji|Fg)Z$F6a)>6yTR37B=lEDT>7*Z*YoYwdj_qth+cq?Dl?vn}fZVb=1SS1=hZ`u>GLA5L6TVFEriLiLvx}SjJm61KHqY`qMM&O}{+7jd=Q~E8;$4kp zexOG3gll7t4UI-?%o+BrXpD3Km~OjC z`*emnJm8v`ZX4;ExZTbKv5d!bR=I2B7Eh+z1FBEpe`I8t12PX!ddO$m`yK|t-fC>_t#CB1a&0wsJnpZ>&OYZJ57wf0 z0NwZd@nC~GHEw1)dxscr9QThlp`Fw|-QW-w!R7b9{hj#oAAC8!{N+E4@4fJ1uGOpV zQ@0{FNIb7e1f62g!5l zX2*ug+m7Qs89s;&czFvjOlFyF}oDb z-T8D#WDUTBIs<%Oz7?oVbZ6nO*%)#hH9TXlsgoz+dY%#tY9Oi0(Xq4_+lD=oBvO6@ zun&}Zd_mqDMb|h1$Pc`xeU66 zB?8$bKmwi}hTsYm^Q4^1LG`3PI!5tf5Z6s}ET0wT1PkewgrQYQ!cxHs-2&8P1j|;G zf=?8onGbVRSmn4Tj(W0k#{m*_*%txN(e4Qh>R7A27)2?oR82Q&o6%1Tps8?y;Nof= zuhUquf^~tX5~5*A{{c{-voCe0X}xLrTR#Gz1f_gyb7O!8SwM(jBo&*vmPVfNpTO1y z?}zuGE9s>h-R}@xNZv8Jie5b(mesN+At0zEkWuYk9Ti|p557e^Bjx1()7Doi87*QOs$*VUl2V>cZ#lf7H#ejF0e{LDIhI!?L{!O^vQuAj2;Y&GHb`lq zVL>w4h^-@mdsUxO!fQrp!qv>DAXf@$bZOw2rV3UNlGVdeT33b`)sXe*OF7vEy62D( z1f^YhRDRaSC}q;C?YKm@f)hOGDYEOTL74=ww9-t7~x+A#-nWDZLTSVxOCtjx%#}(Q3D{oh#Ih)fi&OYwB6JzqFcwGdCchAv9^n z9oqEVcrz}{O+}NmwpN#7_5SVH-dH0I+hOs%%XMXs>UvrFW)N8cutIXg7(mm#s>c9t zf(*S`W#=qGoL*`T2WkBw0Hukf_tP#tg|LR{X$QTH?%1POqVPwdS9-UVQRbQJ=G^v` zvzrBM)RTOpq8|dBjg3t3e4Q$X8&52Mm+0i6CVXw$Dm1&z_hP%}wy8U|;FOUXMB5my zuAk|QbGNvZH|4eD+y1xHdzoFiv==8f!4TQ2#rx(bc~jv=uq~MH%w@i(=gzh#fCQNJ zWk<>l%gmYEKn@)@qql*wrT%i_4uDYO!J#0Qqc&UzT)I{$Wp?Q%0H*u6yCAz;NIHDS z-QSwcb^^@t&Qx^T0L+HV7Pb4`<-Ds`pIE$@ybB*X-Yu8Q<4CinOr<`|yI#wkUFeno z(={Veya3E&1jo_f5hdf9*yWz!W-T^$R%k2BvAJVhiH+WJiTqyA<5H~W`BFLWE#`Uo z&3SdLI`1C~O;0zx^t~72pZ(K+8vp%2|L5^Fz~38y!tej!mH6hjznkDr4`s?G+Pz}{ zXQn6O(W~?E=;aPTa4H^q{_*&mf8$f}xBuEBF;PFsafdDgw+nBrZEVMTAAAsRz58C= zzQ2%NvyEmaCIBuw=<#>o{~*5h^*@i-UVj5wBj9Yu`1BmIcr-TF7UB|y?yvmHFXxy~ zjc><}udQz+Po2Ly9s5JdjUv>t%eoIR)r&eFG>GM2+lF1hPIT6bs19^VBaJL&gPuy| zMmiR#gY@9@jV6Y;mmJ^QZO>x3cd{)TtgBu4W}~;BLseXK-gPjQ$?9I^q=3%$<(!NI zz-IOs@SZ?j{FA*d7;T5NTi;16#e0I$?B&2f)EkS)$hIfO7=|B_1Tjf|u3owrlb!Kc zUD$|?jU5afXTtYl1stIRVsfHOdIRKt4B4P_sSL9c%cPgr1>Li(mRWsQ^pUdC4N|VZ zcfIu3k(bf>SadpW6Kdo6*`Y{@j}TO{R$c`j%Q6sEETArzh_F!u9uq*?olEpM+^of* z01GgAl0Xun0)RYnmf^@i92$p-5W{seOShzrn+h>106E$PJ~oaJAx*W&vFmBV80o3V zwnHLk(INm~G&_Egh-prS&kd)stJsZMd9~7ow zS0Hv9m@$ADp2+RZP`+b1JGE9C1=n-IZoPJbDax_4xfug`op*Lo;xGrG%RDBdleXVV zz-)a2f^(SEns&&&E^=24L%;WuH=;*PglHtNh@ew>ZvI5Qcnlj z;1xzL-%*WKlRr|hK!P51u(MqROWD`EFLb<_B$U3^OUYLu8z71Q({r4aA+PwCujKm$ zOz2@L!c2%lV~Jt6*i%UH(VU|}xPm~xdhuLbK06x| zv?0NzGez$#uf|(9@5DQ|?!@BidV)5`yg4It2JksEI~8?=@frf_F84R#KNpR}ex9G|#Pg3|j;j~W02`s%8X$J@PAuKK9gBe4^^Fb61Iv#ziZ^orAq7MxKfjg@~NWF=pVtk)aM?tIY+jhtvh&Y5#aTy`}nLlB?hq4dgPLTpot69n;BswjBXRwi{&! zykvf5%tP9bqQPL(P)-U^%d%4g=}DK@FP=-=OV#c? z=Fk($>w31*T0^?bxbOAb%qDHQM-c_zrOUhOCfDP*)pJbVy;$2?NN~BeWA`F7h1cCZ z%#}lS_jafQw`FvXd86R90N9*R2^S$rKSHAl7^l-{Ef)IOI((^Wqu|r#pll^q8%wK&X{^sBQ)%ZIA znm}d0zxhneVp!?`xO3-Tya!mhdGmH|YpG0G#*mel&YU@$4gtHrfAI1T<6r%&-;eKn z_eH*a0G1e!?&Lgme;liex8mB>EAh!sKA(oJZTa5fS`3X1#?<*n3^khBww0Mq)KTxI z(@V6|=RYUj<~rX-+LZ#=uIQ0L!Ip+QybqrwLlaXc1M>88+vB4Q>A-Kfw&qwX!JyyL zF|&ffe1G|VtgI}ecU`O09zVVQ8eT=8IyBDia{*`SRKD%Rpjs39(Pq5v4o(isD?AGi ztAltJsYRBQ8@9nB;~N-)b+HHZxO(|)Ja*+`>@QMhH-Kx`1z!)QSj62$^0z!PXvbq{e%PZsoS+ai=t?oo(lAjkoGT3y< zhXjxr0dalr;{Zn_NJatVF;=4>>4+LWqJW1G;}DQ|0Fe&+QQ(;1ai9oPu2LAIjoVnx zv#T+WM6Z+15TI5o;236i+$RqM7hb!}%<3#eeiU37xBe6TqZce*-RN7j}X)!}x(^s*m z+!Gv-g<2QEI5iD3!Lmd>8V`>LOwcCa;9*syLOW_OmAaDemKotNi|4!|Al18-K-(f} z5b)j909fPo;r*!5NL|h${bgLYi&)So#>g4=#GU<}*mf^r%BhEsPnUcUJsO0dGI!P! z_2ajtm+w1@K+m0_R6VH@6ma%ka zHvrufEyov+P#%G&sS5$9-sQ=xTceHG;T7h~ zWC~rApe0Z6t}#I}d?k-1*vvoAx$bjB1%ojw(H6ut%P}O7!ZPml93ylXTbn3OXX6tz z2wNy(4GS&hVla^dGE=8b+lAhAU_aT`BQMZ)ct*G3&Mh1{uffMX6zZMDrTF01U4+kC z=2@jaH8mCI&dvioC&O`XDsz`X(#vU=&`xg$gKRL)&rilow+TQzh$d|g+mTA(K8mKd zy@SEyOnAFTvDfzpV|%q1tM}Jpb7ecW)_bwFR^s*=miuNe_O_|l9z3}VeGd_yyibcu z?`LfoV4~-<@_q_F;nh+%A6W$c2ZsWD3m@6;t4$aLnWfiFoO3Nk7=m5eM4BO?!w_xM@(-76WDJKVRt?r7E+?NB$J zINZfZ##l%v1?6@Hh%rEmYhzmXE=2DP@?7>Q>y78ALl>;?0xHKl(@o9l9Og!BC^Rk&*pu~ zL4f0Su}ym(kpbpG@S&{x;SXPpZ-48%81!X7Y>jyrdG9$V1EWu)PS0FWhZ7eciQoR6 z&&02N=5n-X_iM}UNc2Ih0#@WF<&It8Yg-#RQ~m7Ovw2N#-2 z5`)mTIZauS9!bjK_Qb=jdi2_0iiwD4pFSTKCpxkB-bx(Z+=vOva()VM+#JiH1=T78 zwsrI6Q7^BCmY!XW#9nU~Lt_m-$M^yqi&NUoMmj9?ZrlFF8UpXc8$Ty}WJ!BMLp@3m z$&m`nrTj=m52W75BZzefcsv?FVcO+TMS%&iECSyLj)KU%j)2QZ!xDUwmUWy9x@(Te z87gOpTSZsKSGXSRAmFx1lZGi1Xd#R?shr6ch}!|;&NLiJ7kqoF72~rG5Fg{6!&FeR zQBDrpvWrQ}l?KpfN|{H&ZKKFOS1n*ER>@I9GBNqHfye+hQsu0GLPed++E5V!6B(L1 zkAtB-?(=&XK!PwV-?L$8ImpjYgT|WWL5Ml1cWkm=JQMttuJAIWExl*}63dv~_6Sv% zF*y?HaXhIHW9=x+3tPzKb|dRy@H+}Kcr3x9J2M@QlzPlAOp&n}GRTa1UXCgw%OvBj{^G; z-F7ENsFOjS9ilvTK?opi^_I-%%U;YyU|AQg@i|BugXuC;I`BT<8Nv8*EUD>N+ky!s zeI{pj%TosF){oM*(A*$*72YVIRJ!|2UQIZRu|_p+^dRMW zn;2?(l2nR`1o-DxZEij0FciC292clJQV^T;Ou^?mnj_JGX4sIFdk-+Xl>jl9?x4Ia ztn>M~*|>P&4B&MlraA&u;01BYS?=d&W199UAMOK)9F(syP-}N{Lcr|gT#N%C1`sa2 zwY^wh+KTlxK&TUt09lZk@49xXf_y)=*LMM)JAhD(C1MXla*ykWJII?o>HAOX1OxjyYs84}W7kEV5!-b~J=a~UI8CZ8xPrL${Cj*Yfy(oKLSZTv(}hrjK@ zb0U!AyfiZ4e?4otcBX)d?;tl0k+r)Ib_24TukFF6~>wBV`_Nwe# zSEE5`F*J&2IsxWrJz9-6Aaf!;nC-Rz6Il+(ba@>Y|8^%6$6`8ECcT#eOxr(nRW{mn zs0`O*Yo1&Wv+^+7tL2)aPU6wgaU8qI2vUyx zIlld!@5C!F{}4Jzv*XxWDV- zv1gx*OXttTJbHa_Y(Ew^0d}djtY_#)yK#7~>qfqZpkO>UiuV z<}Xjhr#^8d9zQ=7=SOQXhb(;px^-wD){A;WedUBv+qHPYU~gz|dn3Q0V?ZaIvLPpN z&CbQyb7y1j%v@p?R~6BttIm_AKQ9c8PfY$_`sW$`5C8lBUH|N-hyUTn-r#pnP=FIsI@P6<9n1zrVud5L^+HA;HPKMqgIImS*yW;!g>qr26XY@ zp_blR6d(E3dt{{>5-_0z_Ifbs>LLnsCH6;-q9;J)e$vf9(lw7xdXQmLDew&|K4*|o zPM40ccJ^Q<7pfPGofxSD=R0j3&QpG*d=H;7uic*w98izsK zZheW7@Qxm9L`O~ra-41( zMZL4K9ZQQ?`G7!IS!lO9F*`e-09@X3rm5dftCoB?;CmN~eq#&4fBSyCf8$o%y}uYs zE9>Dt=q~b`?IBCTNBec}qQmLEmq*C!4&Tcem*lSwPiySCuBTn+(-ZA@^wRk_KRab< zNe{lmNZf;eN9rAf*yT8L<`Tf7jn$9fbN^lp!hP}u6$@RY74_!1llzh#$rLP^bkSSw zx_SqD(21kJtJN{LorkVO@qdod?MYm>pw5^pFL87N@D&dWR;MfEo6}UIZGD6h`Ap} zd&3y`)`uXofXK#JCmN%U!-Pk8ZfF2wV5ET|VE1=D>SJZHkKN^tzpR!j@}7JCJ0!|B zRVI@bxoZ!G4glLnG2%;}lzT3euD3T=j{wvw*WpAO5p7MU2%y7m^1TBLs9k$1);Izz zsh6_g`T@_CcA4H=&IJsm*GxV|2Wlk#*x!e`@ux+YvQNM2{NZ>K&t3gHr2q3hNB>a+ zM00Gn-OW^bU)B`E*kbE!5VSZXXL=UUMO|12Wk&NDWZ4G{mIcKHQ8N>@XpbDk4_>_) zD;R|Ko@pExy{#MMB)xvd`wRD=`7T$AzH*YK6Jh4(&&2rnIQ0z3BHiBBCiPr^--U}4 zG1%ITCF=GFCf0MOt{xafk|UoeQ0YGI^K_v%k#bmnBg34-3%dYj8V>yKQf+)kyddA$ zrmTDN?RL87&s>PvnJ1#znoGx*y?RdE>(O@Cx7WZN+cZ4nJhFZl(53;XA(T3a2BcTh zHJKf*r;Z+NVK~+sv<<-O7GMv3q)c!#4xIui`zf2AQt2;9%x#E~tBvE$I9Hp9`OYH| z8? zbBne&78fsE0BD|%$*HNFZ;}&Csqcx2@qGXBr=HGjO@CVW$N%`h%;R4IZ2rr5>pEc5 z21n*nlxxg_&q|f;~pD*W*FUqwIO|LpCKsd@M zN3Qn-;~oPX70PMBs^G26T`dGEABE+5ZHGK#RM4f@kiX7ElggNcB^$B2vJBJgQMrzZ zbkYVA7)_^1W=>Ff2#Y&!$ENR-iM-l;$<+wI3~?!rO9H_o`63%7k47Y^t~&q@U-|c8q81 zl=sq;fX(UC1DmVs%kjdGzKyU`e3?&`sYfSJ*%cs2#5zoY;tXvXIJC5z!H7Dgz{#174L!MPgN;A8S zQpl1q>%5HjRN33$wW1xEE&#|9kY}uN_>EVxo&-=uk(zQ*bjK<}0OJsK+&USH?Uk)u zXVbCB0@!xD9dq;ZIV0WY5)hg?X=rQ+Ht#R3#XC3d0yY@15*zQ>P1KJ8S$A&s!p)o3---C89 zI|JS2jvOatce_JtN}W1pTly$h53M)S)MK}ISSGmWr8v|el1PNorj>2>%9PBpfPG)j*3xP96 z7*S8NOA_U5a)6}()0o}kV|I^M0F&o2XkP)Q-R1{Jj<4L{ImZ%iaK4l82q?3cfwVkN`RE@s@!ap}i7a$6@>tU3FBVH) zOPU|1@nL-K>hICMP8V!$tZhWQJ03I0j2yp+ToYJ2OvYXd!H9;ndP?u~+}xS$E%CWg z^qQW)BWQjE9dqm<`hIpCKI*N-kKSBFW~z(ysLO{sYut&a9WCUs-ZYJ2-f)452fgTa8ZmRW9=CVy#Ttfnu0oUP%C|5gd|28UJj!>n{)j2>1$DHw ziPlK=IJs7DPBMfaj~$1~yRLP4s23X^a9PAQvh3XaRpiy9l$o|EE+9Gy4_L}^6B)N1 zz0GxG*+#ZYWo-7ck)D&3dfQv6kJOiXHM;;cXR#jwY6YmN8=$L0Ow4=H_d2|EG&tnR zwm?2l_M&^d8;{OE6;C|=Io>^vt>qQ44_Jn_G13}~9r%4)0KBsr_3laRx&)WQQvk`z zar3)Les8ZW#H%;nh z0*2OGR&Ug(9IxpapqvO4cceMc^1xtp?AS1tMGeLgYzlq~@Ds?OAOJF(*WW_N0GhE( z21#2`;1*E==G@8(;jJ6rrJf*HzHi6|g)&V5%Ow|=H{Uto0LJ$zA5EI|j}PAKM{n5J z?CQ(1_n$Gr2fMFuJ-vZ~4!Z)V?;+?_(*lGZm!A9-4e1oY=Eh2V|3}}+#woC{zO=S2 zvj`+-qEn7)9FO(3?G6pxvp9i~GO&9XEtFmp#a2_{Bix4dJomw-29FAR8$jtUAsd@6 zZL*UB(6GZdb`Tm`#df(^pMFbTbUBV(xF5xp8C;%~k2}Ti?sIh$4bL%hb z0dV1a@>F_|9EyTLr0^Q!SN&iF!NPZ}E+c8Bu%DYtfo{7hTWOZMmsWzlh1K;~SaFg< zFNL7X5>0kmC=>m>G&}OI_tWkdlhvas{REs|FsuA2^Q1c%JKHWfLOT&OlCHo>wPE7YC~1??>mH?v57-zB_)LIL z{{3AHDk3t%F6IQBdz69l?o-cpzkckOKVt%?7G8YkpXE`{g&xG*c`6rc*CVV#(|8?$ z?gFw-oE$>mBjm_X8=yH(-8k+`UMm3K?(%Bsm&(xhTJDB+j2uBBQ}V25X{fCA8v;*- zr{0xZF@x*HNEPUoHtlnMBZtalt^w)xunvEt=~-@R zAfu;Ok87#34MG0WdY#qnrzX%I(tTXkUUqLG?Z~%kiAbGgxGd zGLALd*`0r=_fn?;dDjz~>wr_{vVsbB?)PcF~3RGFNeoH0pSkfFjYK1~{_qWal3ln4#D$IlXfkBK*a{gdI)$;Cjvy0MU_r(aVET|(3<~K4bDZ0?wFi(n*gA+# zeJ(oP^HFO}@@x_61{<;O6oJoM1fU%3i+FkI>XC7)l8d!qz3Hdj4$dm3lhWK-O#oHryP$$t4^3 zAeptU$Ys{CSu5Srj#)b>R=J7=V_UfkTE;oi!}nE~DhAW$ zTu<5h&R(o+Zc{#JgRpj%y5lXU+qIa$h;j^lOd08+zgTgqE66zpO zH`X_E#}B)DHJ0}GPjY*?fw2zFd@we5Phy91AD9R7lV1BQr*tgFfOTl(U(!}V?yO3` zS)%P08bUM2o(jGyqgD{c4>=&k&A~p;13phX$e-4q;HNCJ0vJT7Ym^GQMg}o*hC4BG z(uk9N%6dEs(42stP6X1M=@=`$!tMmrOM!1Y%^^b2W$y?cJlO?k?m~|}6rtVddi3_; zVRIl@!r(=Dj@9_4vK!*&GBEH`0w^0!a-2Mutj$lAvp_(PrrnRqDcijA0jlz@Yp6EJ z`_N%Cj(5=oCn(0TE(XUq;8K8DCt5}gl@Wkv9a%h%0-ugfdn)%Tuh#*ZE_0QWee~ei z1LU~#(p6pnreKpy4?;!Ca%h>I{Iu(uj%&nqcz28I0L^fM4`3T`xd-^(*~6gPbE41v z*m9YotrebiOtAdElWjyAl(Eq+lhX&+G9aPonbIx|wgKBvF&=(An$MpWfAYC1`rV(5 z)j>OCS*#cQksr<=|Sc|sYjo=7pz zgL*r2U19PyMd>>jp{rX1(LKwy47B6&^o5v4K0EXw@j3Fqh2@86dv1?8lm=fTdPm!FbM@_b{nq#6=KUM7yjnca z%K9QHes<_LpTBshJdhbH5J~M7l0zf~4<8?}Vqq4S-YFnb09i$@c?39S%xehXT{4XV zK$c<6qb!h|?uu~&azD|t10{0CGZi!-;s@*w)u<5SNFD2#qslicm^@h7B#?s83=V+G zhZ>{N>bBzCnX@_2+{J(gxj#H?!y-^o?rY7zWF*CCc3l%wLF9Fk<3BA2ulqgz=VgU8 zLf5SFjMrpd-x2V-3&!^HHuAASK3%IzV4%P*Y3GBP2k42A;lHeKq$znMLCPe9R-t-_ zoRr`GXTHi$jsilNx?C%lJ?TF{c<^jFl{gi@r zUMypBtgyC#otdeaxNt5S;}Zx;tk!z77*sTRY2f2} zOr15ohoV==IP62f<2a*@%?%XPadsu8R}Ee4XY~pe8kM8U+dSnk1?tqg%5KW!-NFxE zv%a~Mv^AE%%iPO!$hz;S7$|Lw05;b*dU4~d_1tGu94!2OmPV`ygnWdcYv(-aU=CVUu@Hfw( zr{o>mlFduLOK*mp!}k=s@^&%y%nxmf%%tp5=&L-};UC)h~WNu047+Wr3jF9yog|-g)co_{zWglX&e%uf+y!eFvR?c%rUu z(!@H%deU#CGak=<<`eO^f9v_UcD51oQ{yq`CK4^TeQXmu)PFrz*4AQiX|aGAofrh= z;@x}q<12smwfO#vFXbAXFmWvGti;0BdKpfZE!{d%e=3hO^7qoXRc1H_H76vF*eh_r zBL^5g8hscOv5=6pCMp|)pJDwQzH12TJ^C)m6hTw4zAqV0v0J0wwK&tQoks$OE zl_GtsBF}APHfAEvx;)W9nf9LNgPf;F2BsOpI!})(fOF9Op%L8aeKbPk^xmKxhZ$QgrgpK1>N)WUt5`9Up6Xzw$(!n`y`SGxKrQAwErvSPXo7U3^fQ>ebF+TdHEQ1WsOSUgP;-v>L-Bvkn+!S35-L_&kc+sr| zlVl*x1gPB0p-}v89*@N68g1s@QVfE7NS!uk?*ug1>j5;^Vh7z|_qn^&DTm}|Wu``5 z1$?u&jr_WTf;{GT9Fyrh4D*{4oHe|8$KfwVY2r|l9D2x?Cx^yjZ@V2od}lLWdG+0R z;l&@uIw10q$Dfanf9^L@&f3G}a0iECH^)ei^feHyTY+*HeWzn&oHl%|HWPp4?Bns| z)cNS>wS_K2BeaiEh&W1HbY4kqB6g|MyIU*q2B7o%@Bbja^~QH%b<6c&e|GrDk~Te$ z2_X3)trPsw@LVqp@mK*x$6FnzAoNv6)-u-bNQFT*rSS3 z<{>#FCyw9A1&0BdgO0rzCEYQ;%elU1CmapeMnUPd=(_aLR3mB)0mv?bZ8W_zj_FAk zw&IGTLR{sPf`kwGo&2D+O(;OYOZ^5QbHk7o!2HSR!}+G~AjEXd=evBz+cxNY)@OW- zdop5(BpWi14~6QnOqF8=sH&&($bWvT#Jv3Aeicl)7vG zN7kFy%EXsFgyv2T;CB}sJ$eOv_JL=wL_MF*GEQ#cuGGIWR476Z$jeljzNwmhN;%5UiPKnq3t;<4fAoj(=G)(k+e^2y4t&=9D$fe=_vz{_0;i6_tU#YVn)~K4L8Ars z%19mse{O4BIS2HHx=v{O2xDq(H;!ErNEt<%y?uwP(9V!wTU_rU^U6>m(*>;aO{3}L zP%}x25D;XJVVK*d9B*%WSyuFk-p;c1rEL)&5RdSugFv1fBCUb_;kbVHI9_|_PQ3U2 zd-3Pr`cAy|`kNSEhjH=Ir{fF1^>^d3=RQpu1F^b%FV>cBq}SEn5PJ%mt!6I8qz86o zc}a^u9-qGwpTGQkeCFJfalSDXW0Y?ooVd7_Lr%7~0n*4}*EO{({jKY-#~UBKib1zU zzJ7Lih?D+;K?#uFhd!Vr3CUn%6k#N2qy`52G0*z|GL2=QA*$X4kXlWm{Hj9wSe5!F z)gfLOhS(#-u@apgJlKTjtwAiL(P*~opz~&QoAqd+xSWma_D~AWBQfsSU^Ke57@uy% z^sJV&U83AW@MyUd%akaCC3E_pZ`dcV7?b z>IN44VH$T;bmnNwv7hoXe=b{c?UAeT#N&_ACOf%K-s;9iw8y(~`P#K;05*Di3Us@U z+O*wCVkgH!sk8*gdYtrB3YPS4_Vxhw+Z(y7g+R-Et0+7w^c>5j;M)XzZt&d3PKkO! z1)zGqa@i8n%eDf^s_|U;BWZBDL62q{W*E~$1CC+r0MtfNw1Amo_;6?vqeqXXKocH- zC-jh8UMEzf3`SNS0<`v=LA~!@+D;HM-2$Afzshqea1&(8D=NEG%A}DV6|Uu)y8H<= z_3j-Vt7KJ_C7m+q2B1b%E?eLAp;mN;&c)G28>Lr6MFWrr>$IVI_85J*CgxOhT)M~| zefrx*YSb05S;k{#7rAxvAgWt!s~8)AL?=(>_{$t}a6s{`M{|sUa;#@_C6?E&$J+J{ zXt4muS)}fl;S(3ehLql;Kpn+3BzY4v`Zri!QMQ)KtxFW5T1Mp0? zQJyo+L)wFryR6G1`=F!pk5nFx*_!hH&xxk{Q{w4!XbIH>EX!7D0ri5z8>Xfw;@tdn zZuB6i(%XLLo=fH2iLZY3Yw=J1$^Ro>dgmN^jiig5OE5Xq z2a;}asB<@=OrMw!VtN?4uIEw1L2ynS7=s-geo*J#222cq9BmIptveFUiP7jx)njt1 z8M8C(I5XRgvvcEdZf+vZ&rZaJxyiUNI~C^ukh4=0G1VOhY$EjdwgZ9XRC&f@v2sc* zAgU;R8Oh31@tboVD9^~{#Iz`QzIw;2p7V%zKm1*uPJvN!%saV;R>nlHV@%g(ZuCae|IrVS3}F2boo?CGZd= zI(-rRGKqq#lvxTW@Uokn%IHjVljeIg^4yM;>q0J-dEqTVtz&=`Vk$3`nS2R3 zvI~W4{^dj&@>S8@yqERU6e{F_GWeIq2l@1<0?0HGnDQ`RC8ZO<=1`8s5wtmj97@DK z$don!qJin}{5uR#v7=fRxQ21&c-cP+bgv&@v$_m(y{bJ9?POt)3Tu&dMF z+O0;^5t>@a7tWuL%a<>Q%hotiU}tAHCMKrSqd728i;XovA_lN}-UZn~>(S_70Jd9c z;ag{9gZv**U%ZbMy}h-B&|M`j2=EgpZvZX;kWS>t@lTXT@c96MqO|ma{+Ra@(CJo! zTb%n|dL0n9S^vL)pmI^Ex%AI)lx2bTc8+6s0H8V2rQYkwr-B~&$e{w}TZQRr9>T2s zBR!d1cQ0oE)S+OIKYM1Ze?5VMHEU7jY+H~o<(taz@tR67yUO(px+DrQ*T)1@CfD;# z6|HUsL^vRGEZW1fQ9GQ8<6ZbPyUNF+;W*4jCpxWeF1X$TV7i2nz%nQK$kXtQ9-CaV zRu2t)Y#W08kQahn$3VN>&=%!&oaJ@`Lp_^t4ZLUx0o`2NNl(iX5nxGlZA{;lA9AT4 zczHk9c|;2FelCtbBydIs09H-Uva6eHdd4)^`!d6rZ8V#uEl_Eup$AR$n)p6ZFqmzd zSjoCV*AoAe4HP`Pulpg3Leyw;eMpB9Ic{CRZIBLn980gnQM~fXtMT9dvwsnlrHRdLU(XUR7z?bfI zo_XR=4jR=^=f2(TIi{4n=7dJd>o`%JNV&Bp?O5{Lj$CS}K70^0+sZcJlpBv+I1|?{ zpNmTuX5zxxc?`W~F-%FfJ24es{LQ}|pZmgZ^L``V2W)=phkqJ>`rSW>fA_5~$2VU7 zdc5-Li*bM9Hg#J7`-VdR$l&m3GbWldaix1DK6&Qj@k{4E8IO%W5|g9IC^6u{p)f8w zBlVo{_wxd+>!Sth>j8LFC#fHZIi}X(88w)+LFEyLsi4s|3ao=j1wgjPYcURhoS16F z6d-bDx*c;f9e`vfL8Bn@;w&I?2CHdmJkFrdXS(f}Mj1`OcoU6AZkN{@L(!r1T!cH7 za8^a7#6R@h8M0~>1~LFga-09Ga2Z+#OsiF>P?8~V!jG(cetECFR6XE*f0p}R^;Tt_ zR!m;Tclu4=F1d7!sarys&oY+E2K?i~%1|sg8UT!^U>0l|{ZQ%Fw*-DaFQ#zJ^v#e* zbC%ainl`As@AbTw{~m;g&mRt14x?{Bc!-no+45ih^SNS)d*8_z1p=LN!03s?0?eeT zInaCP7?rX6(LqpY{aJTf-Ht2F`cuf!xcQMl zF`wm{37D7cauFEvUh*k-^bpyV?{}&RJASTwiniqHe+WUTI~Y-H+Ev> z*8Nzyw~SCDua4bw4L1~vAJhZj4AGOLov01(N4I$rhyj$(G2gX2SffF~UBHQ;LNAu} z;`mP2wW~azE`1~T-0FkR%KPd0HZ<^^(+^N2w_>cvL2ob)cj1EpyUp8_%h~4EcLAlv zlWR|nmw6V@1e{`&3c9+Y4@Rgp-Tu0L39RMt6o9B#eTcRFG&XwK%_B}z9;K@FS z;+fEMsZ8=(iGnJX^%y+R8Xk|@3H7ObN4?4{bb>qV8dM{CieXnJ18JPgH zEa74opgjf@GP?-Xl;nhbo98l{d`~a!fs=NqTk7B8PDcXCBNthBiLvEa+qe~5y9>mn z=;g9SdUX%e!()3e&vuz7h~+%XStyuoExp=Y$@auwkq3hC0eGL^+?FPKw{k39M#t6~ zNz3tG2{;P~POnu)?^#W@&l3GD#f?8bn6Hwz5;(Wb5-XYWiwM%mVGV}NNB=K-b^s%r zYk*CRNx_}+O@LWKp|ox9jW^$lH{W`Pb_TyX6z3R&KAbSr1!ztZF;u(b@k^h1EPm%# z9*Hy4&Dh@V#pdP~bRNJ^DZM8RKxxV&=bFmF?9vqRcbi7b&w1t%0 z1c8`KvzZ_3*B#K5!+NrtBZ5yjp1QSbolNlpz)%A}->}@KbrR#c> zaPlS3+m6#Hw(UB^gmwhzI@sEb&&FT*!f(YF0GwCPKN3gC%6D(R6<_(@pTw8`*i~4_3V@E{dIN_oV;;v=XZd`u7D{!~1FZ^c(ntz)iZ%ebGNdd0v(&zf0pQM=RAIm0&RX9S;3tA9$7|pg1BNX4fm_d+=rg z74!FS$b1rQ5xIsb3FJ(FUa||=KfzMwjqlhNz4jnHbjsJ0HlEptA3RqbOvCdm=ZCL) zy_D1cKD=H+zL00-nNoIvy`iY7a_=;QU@Vs>k~T&!LLa@z0?OiP1b9Jz?-eg-nK>>G zvU**|G>|WA4?O43Jbntt;m)+~5fMJF4&?w*mp$p9f5$@=5 z`O4+EaPfRjuyQf?t(~2uv-k8EZ*OpI84$s7cMX8IycSz`@5SQ#*JJtK0)TTM>dkgE zL6kKo`wbk#=pbOVj-YQ2N2dj-<=AcxaXv_N*N_u{?lA(FvXAMlvI~tmaXZF7_;kxg zy`RSHf(L|t2tK!Blj!=WryT~5YjM0kf?+@{9=NPg2l{rPFF+GMwElBD#r~F)+D}Ks zeE^|L8R^x`rHlYndNK8Q=6FP&6(s4o%gHUuLcW)iA_SRw22oy)b$d=@wif!vUBcje5aVwq=qH zDavdlnp+YBY~6Wl|A4vzEDDnKT4vN!d)%Y!Zj`VZn><)k16oF#WCPvviLaW6Sk4 z^@iu5f6^9Edp(CL@FmM+$YTmC&Nvo>UI#_d9bUBCH6>Sq$r5w26h~!-27ocg*x9yd zmlY^69rc#RW)+>&csKr0|4@|L*)B#hwt+&`BaZxx^yX~XJ)eu%KKaz4SB2~rib%$U-&knY*j}#_4%><}b^VIm>jb(9cde z=V-Z08T@t;LjBvP76hBauJcNH1w3ZJ#$M61iq%pL&R!HC9@1FKBEF*>^)N!?>>3cb zk_H7Vs}2+p>DWh!rdP!7BcIV*li-wdK~_;<$_}h*C$S-va(p9n@*VTxOhsv=aLw)8 z9)MHxsQ0ui1n+EiYpl>%Ygn-0o74~a8O{lMl)X6?=PsU&%a$6YlJ zj!@PBWfTSk%KTfK=0hHlCMsKnd7U;phO(p4$Y|Mqeb~j&_po%0O_agevuAT>qT!KR zY;FlOcM*akD4JF(3wQI_TnA8W19EsrtNZ|E6@b3u9l*rua%`*tJN6dyaJ!W(V6f^03C=0n_JawI%z`H6(Bu_M5ME-CR zfz^rH0J2n_byQSO8215bL{Ov~lx~n_mr#&y5J^Ewx>;CQ5CNs7d+81d=~ilqC8fI? zcBv(nm*1P`{ddmHbLY;v_sq-_pKtp=#g5iq7b3~4e$&hD!pHbMVJ@C<|1GA$wX_^S zpD#x?Yq;Rb-6ir)YEz*LYlWnXQH~bl^W~+OrGpD~Q1eTv+k>Eyt=+w&f+!^o!gUa4 zkv$Q@1UltDx5Yv4$?{=YrGtxzFsGik>=Y+#LRr~5EwW7`C_XF=QC0s(<(L{~zi*HDxa$VtfYj|>;kOAfN*lAyCbk`{j=S20h+OPC zP!(?|DotWYQlR)X26${fI$QmS+FrWBbU(+)ktWp2PL09b%)n)ke-rIasST%ph=Ziz zN~bslf$5k%Vr~%t_6}x7Q)68k|0S2gj=UxD#kcHAf#!kr#K=32zO1^*C9!rleBRjf znsKQZS|7@FhCY8)8g&geMwRf&W#`2vFLrj@FLpz%S;ud|h{;a6PPD`06%Dja=61Bc zWv3Z+)%dAs1j{ZKvp!=t&$#?*J;@jt#klCtyu1?lm_6rmnzi6|f?jG0xH4p^u_q?Dt>0 z0~xk_W{%0ax0(p4^jb^mE5E4@=Ai4}>i;Q^=Zl7KHjV!NY}cXNVR-!deS*E(w>Y)G zbsv|dIA#vnu9`oWA)G-~V9nL|1rI{edx~*eF46=F)9rE+$$Kb?FK@`6^>Uj&cFGRP zWdH3JNS9-#yj5S4ahsduUTc|?x%6l6%Zfyg0G?%u`#6^H3T5-87~;w(yjPlBMEHAe zeDpuIG*Y!kx6hjO!epj|JNn+^fgLQp(}XO7{q@ zu~2Aisez14;;7!D!Sz|YBMG+0=Nps3yK7_F30ISCDo@=w z)(_Ddv#!8vLF|V#RC8)t+S=Us?BcRQ7yVx#rXJW@n0i>#JZzy!}dpIZdz1f8|qBQ&8`b3CRZ)EYQl;Ct# zJQ2^Lf5_eO$g`qbO~c4xc$e>nQQ|{MR(anDe|R@hlC4cfUH_ zmo+uf)N;G|$c#fjEsAPUUw(@P6wqC}bPn=X-2SE7|PtTdL;`7Y)zh%qA z!@O5lqAx5Krk%xZe@0H}`iwGBy58`qB}%nL$#F+Zq?2BSv}t+U{altn=HQ8Umz}?O zwO4vBdFQ;a)n0(v?O_JEewwolhZ>c*)J@U2ld8omnKrl4JS8jM53movKMgs1yZFx^z(kE ztk|&L#Pp5uE>xOx-)z!Eusn(xSIzC84r@hOe9$0P#{gh%QC(wgX|z&n%Alz1y>$%5 zoxMFAxI3_#O zhy`Ad2GXdOw_jUO%liBB$FK_ugo&*$!z>p~O}^i%s!DWtI}H6Uj6`nRhQ>Y>eXymj z5GWH*l8Q1g3gHyNpRzVE5jEkrnc^6)<+mUkAJ)C^OByyt#~Xo`J72W%Yn|?Drp;Af z8JUHR`gf?R;QvCr()`IE9Fsj_`m%wc9=4JGh~_-N>rCrWE6pNiT(y^%wnFj9<7f$y zfJUU#p)bH~o2}A@1SGN3!gHiDez`60IqZ|-5(k6=s9;L~dKhq2RRXc-Pg3aivAa!@ zPdhd#XzY+U*H_?Eg5sRIW#BE!d%MD4NX)_MX$cKh4aNwbMIB=WZR^<3hhK8pzKQ!YlxoPb&~M#E0TB_b2p35|%H1z@TYa&N2Ph8#ErN z6BhB_0cH59B5sE(A`KTFKq+jlMCy_sb(H6Klcuz8rD+zUG>Somfrmwi8mo_IN9q2$ zIogy1Md__IVb}Yy(L~pzW_!DAo~0@Vn}|dB9{s|@%t7vAqTas6%RdzTSz7Zq(vLb z&-4~X4Q~$XiSWH5rMhitgEFkz_W5M1uRJ(fS6VA`saz;eY>iKBA&WbwaTw?4G8xB3 zlVx7Hl}p<(tWv?@CYn?Ci&qs61X|5N1~xi!A0arO zwd*s7v9!KME3HDhlb2lCgWArw2l-Eby1(PoqKb^e94yC=E524MxMtrq&gQ|DZ;_eQ@)zY#r~0}6U{ke7blOJWyAC=uqv5v zaw^A)RaOf09|1yZ+WpMu0X&q6y*OjZp8Dq!+I{#)E)s^jKn`@p0T6WZiTd%&sV$0n z^@?2FM**YX-=(thoeLhTtdZP%*G&RX&i?Nj#bmalnd+{oweL{IFR9=hb2-3^b*x1R z3-L$iYhjpw2btqe#Z8fu>c9i_A!ggRz!yEq$dghBDFIB zX_7P^{avnN?qcZshk5tgsgd8SpWWBM-j$*1N*7q6qIFGmf)db9>ECvXIRmwajuq7bZ9-zu`*0pc^{;oU4zKA(Qzz=%Arc zdo-yPOm-u|wtOU@gpncnJ;wh)Fy?7Rw0iHEKo@1eIL4S+D_GE`s7Uw(_x*EK)u9^K zTZ6XCKZff!wL}_flhavQbxug$oc4|g!nzOKf1kFV^cDKg4$Dhz2 z$6!wy+qnD3ntR|4Gcb0gLJjj{r4S9eIae2JkKX_|1vEJ>z;S%XT@OSlcW z>UE9b4Y15AxqF2~#yoUb!Ru8K25d*)c5B%_Y~Pc@ifUQ3v1yT$f`TO9sT&XU zt%)%~ESLG{=ORF4JqC zN_0!u|GqUn+3Y@F82Py?5{>~SL}DJ_E=_KaeZMIo3qGvn{=-gp%U1HMvfPtr4l`ob z*~&J_R_2dKuau#*pC8x7GJz+!8cU8#@?bKqj}iPujVWYZoz$AU)Hgm~Q&(Y}E(}pyj)bmr$9-z|ih{lk?XMpfRADFBo*3Gj zo@i}`YRZq~{JBAY;}DrlSt>jTm~B(W$xQ{*vXC`Db^X+*)i~~c?rm2}J0m|e?6$8LNjD5k_*KAZb^xtTz~J$64wd)UhCkW>W|oTb&;Y`qAFqC(5}NH zpfT_81Tgp?e#FvGQAV&Lc8)T{JVrEA-uUfQidj8B-7^LKtKDB~yZnoMyujq2?Gb7A z32#uYFS@eZ;5xX~cQCdmnLRyxrg&7q5ORxeH;Pwt*0&nj+`Q(yS>tTdBE*Ov4phHQV=)UcIm0A;VrAbgIElMS)b3tlLm|XT0pg?BuDbWL= z_;u@e54Y5gAwK={_|0$UN?M}Qo&mRTsdn*sV8qDp=<_jgCi5*FyDMfvljNSluZzdp zF1pi|rk7^?a8#3*cCgZc4koL?a7*xu*G979V2HQN>T{?_b1BohfEumY>+b7++iIg2PX8f>N#6IFNWY~e#V;|bi`9i!FrYv7 zuP@}^!2QmGAcJ5|eEkyBrtbohJ~18`%KmiBAMgZZrMk8Ww0g5F&Tanv3c^#OsUe~_ zSudY1>petquD?|q^~sZ(jIe2B$dAS{G5O$|DZ);=ZuMIf%OtLu(&w1<6|jlgr4u5v z{IF_Z(&-lN%MWPs0y<*=Tvm*Kg!W#1Fq-SZcim$J!H*?VK7R>SJ@K6Xs)4!tmWDj$ z-mwuA>fJ7e(NB!&wiOC!Uv-xCCfg5~;m*FmuUw+W9>x589I8rlL@%MNm{aJ+`r)n3 z)0X>^x*~O@)pz&Esy1%OZZC2UOQ7@##(cQ30oQ|FhBqzD`ObSIYF<`qpIum6D*eZJ zf`*@<2Nsofhc2h>ru5cN&}$ksg^ot!6@1%EOtuv{BStKNE6oPXREK*$_x?{+SdxwI z(OTW5W=bh0k^nb)HH_D*?i`II6m+bb;=g%crLH;qeHZ^N1A5!zzI4NH(e@Whw9fQ7 z*dRv~o111`}%^o!h@VXpDo@w@lt??!{rQ%hhaBM^DsI z71Cs3sn3NLb4JvT?ck&jXzs4vh7U~i79KSzy-Y;9#p^zhTg`m(hs_(i3aX07 zYYf@1)<)4D&_1ef zsUsA#Ij&;O{8`aUP_z*be>EHL;q!z)kEf|v2h9NK$IXo0N?NAe_3`{ zOjiU`M%5aextByAF3t0VyG>ddb0iB~%m|R) z>QF{W(Z1@uSL`r+SLMO`gv90#sQ^c2sVAoOHZj}44mfz%W6sO!iJ;3@J7lkL$Dhup zfeGvrT;-{YVV?ub+>;pz#}T~2hU7PcpZz*^PQr)247i`;AVVl`x~GJOvXSO{^Q((4 zTV%zw!?u151!U&~h3s}?i`r{oku$GQ6m>ut63h%o(AdS3O$yBE9VbW5dQ zT&D!%?`v`r^#J2T1@9aMvglax+M}||e|dySf;=jWCtr(H7-qkTrM`dSh%gT{zMKp~ zn3CtMOiAShX)tSkWR>>#^~BX^DJEBj#~L3pAm*P*7dQG{0S6=GNu>eZ8x-3L`TOf= zwUm>OUs{LtpY_&lGW3K90+!Wdx2Kh=`sO?+d+6WdV*FZ=VXvjL^b*S>P95q!)NWG3 zSHhx&56wlWj|^0v|@k5B%-JaRUS;z=#uCPm9? z!OxYusP@R$==hXR%rrj8D*G+{(DEawixh%}8oEC%j7T{_R7l;|huP*muhXVI+^zyT zduj#QFutOyqfI1Xrn~pY;5*`@+(fBc3Ne5@jRzHiHjcX${rKo1%|5GDz^WC)t~%2# zi32*>0Q_A#ss|=gBLuk%+`(##euX!KLg)4 z!y-vAJb}rgyJTCS$%;PZl=2|Fs+3FH+n^X4UpkTs)lrY>1n_q8BldJaQ_fW+(jz0Q`e z`hJ?HrXAjG>#duMn-qm1kt|EiaM(rOr$gU&n8x`bg7XVsV-t4@0WyfseTh)?=A+M5 zC-C!CL(UjMyu7+UA$^DY`f)gzHM#`QsW795GBMaamh7i{w9&b2O!-@b`LOAeIo+HpQpz|bxn{{f zKcuV%_C0fsoN?l%a22zH0dcqEQjnZ+$5#Lj=~8Xamkti)bHAZvrkpdkjEg^39>gG2 zkh}f|K7-`sYo4|tWU~Jkw4+JOt2(+o9u;l8c8}@(FM6{3B2oDK?k= zW3F__ZSPR{Y@l#wqbIa@eRy$t*Lx@5z`>RQV)iQxO-2&Rxg{3*&hLr!;|W|Qn0{EX z+`v_z9+xwr7?-Ucqi6V4rE0Ir`OcNFsRW%&K4C<+zQ%G`Ccmq#@S=bn7a&mPIGVeX>C+Sp{W z?YNDSHt1k);*~h_K{IV%zmJ(Sg_&AuXlTp+1curl7i~%Xqpk^hPE2y}oMHRpUOG1e zMduo}Oz8Ul#K*5D+AsHC7|+-EQsplJVV+O;u$u;-Fu0{QXpH&EB8(4jWT03}i_lgF>w7Hu(v7E~({1q=hhE}kCWA^aF9n1Fq_{8jY>mXs=p+rwn%?$%VvNA6*c)2(6Trr#Y zS{cc!bDcPc{)p*y+4P?k*MH|xz(ugyjV?by&bmk`LMT6i@!#_%#j97XP4AjqsaGclm4>{)!JKY)uYVRe-_962 zecSn6>#RsmES0g}!MVaxdY1K@$wV&G>?nKuKq#CBqac#0AH#JG^D5G2E+FM<2c$ODwyx zJ}+NURs9#S9uTx`pfR5iey%6=w2wd?i#XaPwuno!g{0+1E{79po57Z#!6wwCnl3xj zCiO4Cw}9v7m?AsG-+0y?<7g@WQJ2%t1afjT`@vW-`5(d*#c}cEuC=}iUq)`0@-XY1#9D$wV372v`#Q$~uBb?iMUx2tHZWu!0?>2|T7 zk1@ZCWgpyx`9R^cz+V1O5O2sn6V6_8h

O-~-YQ->xuOn(t?C`9p5E5TK2d2Q$p4OR&{I->cqz7yFdy%0B z^da%7dIcLa)G zMrHZ`iM<*UN{<;=Y;LakNvvh<_(NT|J#x$>cW5$`GW1iNq2u{6B@ZtbO=(GmQl)#p zpCt2N#VlFJvF}2OaMEW+z2HVc+qR zy|s(et8hB*-B0hi5onEU5V%`@@_xC+hcc()55vKAKA{^H%fkaQV|f6s;#4w2T? z_^x*ua(PWj{E*!byu18ElGt!J`E{oJQmZ|~bnjH+xFV9R+6-{xnSG|~jI0_N zynRis0m3h%FHEBHg`Qskn%3 z<1kH_;9JFHCf%!Eo+dArRkfT_AF}x)MjQXO)}|1(`p8CX&`>r-IO2VVcQJ!f$Zbt1 z&!}w)qHOsVIFKNQ5JCNsrZM>iY%jU<9!N|v-RDS=#&X>s9=}avP%4PxHc?Z{itVm5 zT;Kf}=?1pp)4*^+d^29-<4YWr!RmgpX+ZPvoy$wvk7LUaRwkTd=8?%(FB^E!EWL^9 z-Zb};0%7)^0Q$iG{zR%L{XO& z2AHxFGZqw+qTJXG_RD`~Ogr*AW*P6W~&IKdFV9(2Tk zsMQ%B{U@FHW_1FjgNC6p-Ro}nMYZPDT{|9U=dXiy>dvO>;JvzV6GR8x zHoKKY_vrTJbz5_-auPjIJ3K&-0Xcu-o6(*~?EWk}KWPLSX##`O zBt2sYHmK?vg4qHv-CQdt;vov`bH%i%!Gj^;`YYq;t7ps3W(t<^ec*#%<{mQM4M^}v z58h3`4!Hgn0=gik8Re5rews`E4|`cHGiLz!*M(V zPF|GNTvnlXhlmKUJqPn*kg5vakDgLH)KpWnec#f@uHc%y4X8GI>+jQeyCr^-Wn+*a zy_+`8yj;tE5~Os4*+5M{!9JMMs9JOLWcICdA$(Ba-g9X+M$@RlvS2bw8FM{%t@P0; z6?5^M_rS;?X;m!X>D%T;ZxQ@X&?Fh>22GbHeE7XNG(zcEhC2urF&ZW7#eRn)VWS-y z0RC5hXYRZD^EwKCeSV#&>1&(`^w7ES9rRz8s0p>ch2E~>ZS+I#ls4EQi2ij}#z1M& z8AE-*C#uG;5##*w)s?Rv32#cCS2}NvgO4x76M-VOW#I{Lw*`am04$*KEDc zeW?|=+4x1R7wC*%9zbgQ$$blVc^5C*xx)EZS`|)K1N%mrx_^8tLas?D@7t*ZMnM~M zVq&aJ7@da0EtmSO7oheh%E)lV5WXq=hvO4SU94x-jMMt5Am_x3W%S#3-QLQV&YPFj zk!oJbYyC@sF)0Jj31c!hb>2CDDAsP_n|^=hQE)K2-9XE0e#Z%o_Ove-B1>);AHalC zTSI9U`0nV9r#ZJa6G|r&h?$_=jHs{uj$f`OUNLFc923<~ba#{3aLn;<%#n5Roc$D= zR&s70sBa!@G_C9SBqD+R>Z2g%_r764fY9-M_zU6_<#{VnMH`P|dc*4K-bqc<$erxA z7Y>F7RuE&DoGj_|@Zs_BaH3NGH=x`4x8Zo=x^y0pixZMO+aU8pdbAk8of&ZK6x%1Y za_PG059j1$iP@xz`8|Ent3QQ)_&9#|2E zOOtB?E`IuM&#`+xJa@4H`fPhj-;61^T~7TFZmGGRI@*=Vj# zn&0P)z{d83C#Mo$SntVn?+|-g8giX-j-d|g&NhXya^NN+813MTqNaeh&C3Z*ih;HO zH<)*NBBshMn3JnRg?7|c2u_3+TK6~mwIB?IzpgYMT6oZEM&{#3K2YYTY!qiGCc)zk zdni1JE@alj7%qiaa38$i%NX`N^44cm3D8A=cqTt)7Kmo9&hV?AsiDV-STZJ{~Y@CGqZtuE#qsp8-2uI zZI?P-B5hh|(!<&6Qw_i1k!=IVQ)(s55x019*U#k>xu;Lo4mM~K6IcR*gbT$5RT5ZZ zQ5PcT+iRp3Wel>)5{JSN!PGi7RW5F&ZGx0AMT)fxEBZsADunIMBWAp7^Ri^PEqpqq*j}CV2DDS#CdYmooOBfs0D)2^HBXg|w0c=Dc|X4{m2F zei5sd=U0K}T(EA{y%u?Arkj(m>iW-EiQh!O{P(nsh?sD#TdK2Nyfyn5#V5n4Np85i z6}H`qO3K0eXid%ECWC)7VC94%z~`WIp%$)*q3oMFbAqCyq$)Y4K-ACN!-&71ev~KH zEiMe?53%5Ul*nk}C+U6WKDBA?b~<%p04`#L4NYib6-{i$BSJ(wwZfUn8?WA$ntyPCnx**n=}GDF@E?Iy%-tFiE5_ANIM!IQoACb z;8oUlI+|8S9J911;XMMocKsWqMH(9|9THA*J#e{lv|Gw(sPcCgq2GPS;~U3{XRA5e z?S3imyvjojJsY+^CcyM?%*^1~Zb`n=d)v@#;B!n|yLAL*vHp)*{t$0^o z`VHQJy|x2}8P!PRrgA`cIrNi(#(^yVW*W)ypl5WKJKxjBw6-gDm`76{_fcLFM^($; z_I~a{Yz}|2)r_UxCi?%4jHnTHk@Q}08?M8)RF4xdBKQ3)>mN(L+V-5z{yl17BZa-7 zfYYf2#vhSz02w{8_yGHz>SCgjuUmQ#{l%Qq+mo9b^#J)^nK~7W8tlvuCE1&aSc>5z z30w=W;kZv`H!H0HM)torJNF{AikUkC3wvbT3c&?3jRH&d`fC%K{HEU`ZM)c1$?(P9 zm@{x$3bKCA13H;rG4bRo@eGO*7mL+#c3zIg{+;zM`>+#RI2SKww4Y23P*7h#CNE~0 z)A#9p4$c^cJCnxzH_rw3ZyHV414r4+%X^5kOV|mVKbJARD_)(lflKSnlI=gmR$LtCi=iLBq6S8-Ezlu6K)8 zCzJzss7HAqu1AefWzZH_GzR@){Cj3V4S4e;Rd#@#@`@$KRFSg9jy zD6JIj_N0TVKCQO3_KuMQXeHnu#6Gf@9_DQ%vxvjIM{V8-vQ8Ydy}epOB3L7LUXS~8 z_!MR>rkPd5@xRYA%CvY(>6L-`}$3fo3xa11_1G$^2yM!<)zcW^CKb}#2$Gu zJTqRy@{O{jPT0{?YI#`?{J6ndVbwF5LN)$1R_zl+ftMO_58y{VSYzQj8}{lJ?~K zn@|4&LpyMv)xV~w8x+aHv&ke0lDo@PxK3EJDUm!bkla1YtZ+}Hlc_m zu}3uBOTR_^{PE}guOJV6>8SeWK?%N|_f`syr7sia_NocxXh8?7T>d0Yn>_FCH8waDxH7PrO1OBV)-I^IHGXXH*7rK^tW~y+Taso zc*SCk#s1NLrnrcT-dEu7w!oWJI1_j;C-G*hczQiszzA}>?Bc@>m??jH)kdKCaXb1> zi1d`wLgdC4LLy6M;Kycs(N`g>z*J@ir{vMHcpBBzKQ++$nZn|!tN(Qek=x4LB-er+ zqMd3y_ar=z`B&81?CV7GaBo)V0#@SDzwFL|KSD&%LaXhpc6~8J!;QUS{ysQlxAc0B zB#nXTE>xX3)+tf&#t;(@U#c7aa<0yTR&9Os%De{1Sr%$~_E>d>X@#Bi?< zaJ#bICLdRN<5TUx)sm@M;_TuyaH@U_E+rrP+wsLC8K7TBV=N^IQa0z#HVDuETShrJ z6&vSc10K)HUep1!KYe!Nwelzgk)Sf6Af#sEO7}b{TI?J&SEMGr`CNIu@EpA>?pNci zHZivpl@9YCV@R$FU<*Xp0!V?V4iXi{>fYhQ%p08Lw{Ub=llam%&o3&mB!X(1Q&yHd zwkbOl$(Cn-37(h(6nnaIb1^Yph99nD(RO!tc);DZGsH{bD%+C)CctA@`o#(OfOcc* z2Tt!`TI;Y*Bvd6yXv_zN!xy}}$alGZJ^=u*ao`YfMV*i{G`^HSnJ(#KLZ7?XkJ!7) zmQe+$?j!{IqY1`Txp9p94D6w-DcHto1~&(O`gGx6zyLtMg$FRyG;j`@B8v^*qZE5$ zYt!Kiuslv`8X$}2*-*lNA0&XyKZJAW(4F8Ogcrilie&F3?VPSWIeGhy&rKR`SVQq# z48`oURa7fu2J;)N6%zhlyH3Qk`C~^hKxgKxBzlK3WXy3pG>K$2^A0IQy3=g`lFz}0 z!uU%nTKcv5V+vYC%DrmP+t1hYW zTLdvwaB%DFHxI4ixso$uZ}4fF`$~0(+)hG~g1v$o-wysozKDmcZ+OJCYI30o2iB(Bi+8(Giwlmv1A2< z;5fl>`(XH)B;KNGH{p+z04PsuCxzaRl7p=MJ%gkH=X(kt<=4kj+V->>Gpz9`d99mp zrymJw6h*VPt-H_ZABJ+#vizCFIvos4*64Tq{J^oL{`(sFUD*eMmxyh|EX167aEyp@e^KvobfV_%b>)y&W?>UG1b z9@^FS{JHEjlYeSphctU-G419Fo8vP{vKOCe6TEjRCN$`yh^_NZhS2rrxw{7E?oQxW zYzMj%A(<``8rX#0X4gfym1(wSH-fWzjI!YK-@5@llrqm;KG@5N`DvBA`d1hXW-Ie{ zFohj^o9Fm`Si`FOMUsF`A~MF9TpIbB_JIDt1d2PcsX(oZb-~`ol9IsLEZN%JTza#2 zP1Q+2ylq=NyZ`3!q)hk&G&{`;)Ch=KQvM2@F>muO`m>LU9q&B)=i=GU}5?|JV+u@2l0qV)AIVEF`WdZ_ix$eC(pv= zo@1tJv1Y^p%%%>h{e0DhmEfp$if`@czOlSV0r?=F3O#cPuA_y|KIxzn`V)afhyD6C z26wkiuA_zG`@`1668dMM%mNC&>$>?0T?8KCNy#cUaE-?vAiPr9Hn+;jc5A4SlQS!9jd!&Cxxo_$#M@+z)x35!N*kw@9>F_jL_^7xbPz zi8e=&))_%)EldCDl!U|S%^YRo5M>+hXiDIIkah6LU|3L{?3ACslp=fIdQbb#2HJnL z_f=h(hGt)7=Fi=dl<%o-Ini+xXA9~P+;Cb)qMX-uS!vl?)Sx;OA+BC=(Y~nDM5TMW zO({VM+KWNzG=kW}Ik@K*Y_i5Zp>ZffP{K4av~VsJnt`;FA?X2lemrGB|N9J{iua|s zbt>%SC7mts$A{h;Fvk&j3OYeC2)cS{`U}Gg9{z(Ugq>819lCoPCw(HWWd%f(I_0KKS@FCU$ zM852jP~zRPiuej=mT?3hNh2a}tTOxfaEDTbKb(k>Tq9tZ)YygTrnm?<<8a2&V8?;Q zH(M=-i;KCy%y$8GzNfoP6vJ>XhSbG;k;~<^`q~&nBS?l&zs>%iVJ-E zlG(s?>=PN;#^VKy(m@K$4h0x96tuo)q~Dg)edEd{namBUt+Hu0yIJ&x0dL#d&2`Vt zyEufQN-7CtqSswY3VynQ1?;GOGK)#uVFTPTqZ{X|KL{nizlw7vxXFWs#m_(8cn1aD z*S*%b*HGx1m{$VjyX2YE&{kSAT+NT?$Q&{JEmS?|9>jn85B2Y^eZr@1*%1C$Tf;}PRKLt}ukGsFZV1|!1MmLP{M#6?0EuC| z%VmtoS~5j;3cjHyk-jOquDH5G_|Ei0GA|lXRp|ISxqE8kwHGH!Zy3!p7l{LgbvcWx z7HM)m`NqlNu;Al+h{ih#*r!^;pA&W|sQ(Qb#R^Fj7rD9)HEo$U>uj0D8=q7BM&F}T zXa%G=Z3`cuRV5u(N)ao{mA0*fnZJ|xqLZzci_hhfpK{lnJ3tyHZa-z8)O@C|?eBHKIi?8FZ%)8I332f;6$T@o8@Fcoxk)V~F}e_xEXE|LEMFGluRafBWmqK+qKhNI zOH(g6+pI7XeX>K#8u%i6ysnckv}c0RtM|q4*!3~tA!3e~ohEPTIT;iK0PgRO1J~Yr z@!J*KZmC_R6>k!Hf7|+TerF@8Qp$q(`jz$Ro{s3Kz13S&1wrLc8t=R77;W=^lQ{?t zu~V*ZET1KdL&7wBnT1bT4>EsxsuO-iSoHp;<5OSO78te|9UbX=LLyCCtdVtT{Igu= zy{60~&N5I*wN~=hoq2pp1WOLImIrD2#m0g}3sgsDl2}r4T>7?i}hgTUUn_atK zxtEsvIct{19*d4jY4hKt{9NT1;*yN0)^d|=x^nn37AfvBT_1@P3+v3xjk3gQ6IWQT5&l0;*2yEgzP+IoiB=bw_Jj%H*UC&ht;6!N~zX={g zM%Lt2b+p7=_Mc0hZ;*MMowB+_GY(VJ z_N#u%z;VjnVlbk$Qep3agGU&anArBGKP4~M|HNOwp(L+3`_9!%EC-X=PWB1SSP-sA z4raSh%LzIh9AGal`Tw`e(*%wDe;vPwU}XHCQU4k6n|_4T;XRu8Ki1C6#xWe9{Xf&h zyZZT&!_*0}<>HA;1|KP!Rp7ipH2U5@ZHHmw+NA z&RPR!PRg<$Uv(zzF$28D_o{V;e&ykQ#e5EYIB~mt)p1>*c~fxxlM(eC2)X{lc!|6U zJh{37$uiQOAJ)P9*ug#Qe+TRA0OStS`(*jgyAro2(_+!O1qzDw$?_1ho60>iKVwk}^(U8g}& zX|U~lg+#_bjjfPXyg(-O^2)8h>GIRvi+2tV4rlNO6tM9rB?w&szp1#+fFNBS1wX~O z%&YltDmyP474yfx-yXN}A9p^WeJ3-PUv}ZV=3+zAh#|X2OY-;WyP57^HY1C z()jo7omW?n5eU?%?{025`2MK#zL7SLJnP19yb^d@2c%`Za$}@?*o59C%q}dHJF;d6 zJ|3UQJJ${WGNS)LW>?$;nOoZF-q}9ey-=9q4%lG4QGg71MXNp5nV)>;N5%8Ibt*pK zwrB4jJ)l<}XkGjl7S^Xqb^pbZ0In^-^Th!l!ALQP$Km0jUWXa=5??;_apR_(oSZb3 zQEP$hYu=asm;JJ}QMflzsCu@8UW7)H1nep#jW}pl6a5-gT6ySvIC&8Ey%~nz4PUoH zu1@-Zci|5L9lMbo1M)v=>9k@=he-lYL(WznZXvOim6b4W*=kC8)Ex@=u(MJ9aM8&C zy(xv#Kz2^<=!cO1H2?so!6biU(Yvt*0CNa-7d9z+2!i6@Ah`<$lCGeSR*q}WeeOC* zZ`K&mpZX&4)dp(M-(?0U;sFTg-sN=R(R5v=VxN@r)^%TL?w@ux=hzXAAFxpy3Y^ z^GDuWw-@j7^YhR2%`f!-#Xj13xcA+lU7<3+{cV1L0M{=(FHbE%@}qk@1@LXHk+hv> zwA?c(Y;3t57sj0z?+oQ*Gs2GBPr8kp&ZiRQx?&U17oF&t<5_e!@EY&T0diCwT~i~t zpc{-c0+j|$sLC)toH4oxsO((*H-jIK%Ysg!mXwg#Bh2%#^~U|WwsK**vNbLwA0q%+ zqYV5cjTm5kM)KkIzh$PSz9Xzkm4_Haz>d1f468Yu%*U{0@*P|zQ8YEqpS64DHn+Ci>rRxV2@S(VyE(@`~ zo@c9LBwrwNbbS2Lz}D8*Tq`?muFdysop-3z{I1vhFn9!V>+&!HLZ?@wXy8!+=p9Jl z7V9Fz&h|E4woq;24+u=~%^T~7#H8B$J>Y$Ddql9BJjV%g2YwqU%V;Y9a9;zw?B@|1 zE)iDM!N>R?RGs5rrG3=)ceZOX_v9w+G}*SB?5WA-u4b~0$+nxCZ0)ScwrxFK_nZ5E z{(}WY>Dt_m5h4>46GNBs*g;sd{72p%yv{d;qr`7aI$+&p_{iwj?{#wj+Ocl= zDlX_q>vu4VL#wEr-TpXc@Aj<$&0?FLMJ{3VWK!q7u=6HmE9JG$aPJ}8=W6&N=KWIW z+dnJXK+8Kss0)tTK(}W^f2XwZID66bsuy zz`ftG{p*)|xmn^sdBOV?=VUdP!RklOPMWtK!v~Zz+9|`E>>=m`wU52}%Z<#%PSIHb zcF)r#&SUwTahCVp&J|xCSI7pkPDt$G`UA0F{h02W|0JdeJH+`>Oxd9 z-%g1pxo3a!V#`aAQhr8DT32#;VU-Tn-2V>(kqP=Q;pg6f3_kjhT7a6Nm*5d zBDjD}>%Y0S{4Z>qC}CU-4(7q4+&AtwuQ#)5N;>XTmItUVo7K;*o#VXtqA_{IAFI%Q zE3UHpO2twk=((+vhX=g88|Tj*=OBlm*yHs_KEL8s!%zSws@_3t9MB(V8~he9p4|4b z5c8Vq%3CK9@~-ODg6Rp{0L>M5df##1el|pp5|}YvJ&7=hPce^5bSc&O6I_hOD%^>4 z4u7*1nDr~gpFBD5*)vq0{XxXSj0LTXg>P^$FJwgUp~*hq?KK# z{|J>`ArmWdr9f;gjZ_kRiD8kKQDKy0d5B}+Y+_NrPQoqY5k1RBZuMDb zv5nPtn$~wZP7^R$iu2ic$lu;eg z91Q%byRE0+6q-X`50LeJPM2Y%Jmqhs zzWkt8ba}P(8L%YrT}<&!%Z{^$h%V+1lKZVVy$h^g3xNOmpGX@umcJixf3I$k*!rA_ zK<3e9YiDlWe|j`#53a9HyssT3b6$kgBmoP%O9@?rgq%NLY=aN_L&0(2rve zAWjf0W(;gWbjK!fNB6|~%h!k8RMWN2q%mckj5C-k6#Ai-Jhj{=9mA2fAs_ zes2EPTmVD{uNXV)B8b1Y-n{;g_OV1mj3VbibV;3$M{e{P zv*Z%FhbXxpKJQ|eWU8RcamrhQQ~|G`*YQwXmx*Z}psD128Aps8a;?i?=uZ{y`uxbh z>N0MoJAHIvIzWRn54NZO>IiQXxL4jph%MYgGGb9JnT~Mra+FiP6)^dKosFZTNZ{ zK<#5uz0lILHp4f(lo`59Wft{?p>0?GEsdIJ@)E~MOm}bvjm>ljn-e6|Cf;Ym_Y|-5 z194S?w7w95+al)aI8_JlhNP}fp2kTpG>vh~m~S8g>oj1IPBTaw*_;olUTf6oN)?H> zp+E#Yxy=%i`o-L;)&@T>bDC>1pn*R5Ooua%R7FxVaQ0D`yFQ$n^@n?7C+fi&Ql`Y} zUA0jMi6~86Jyik`h39R_sN(cQE$Rf*OXdywRm5nHkWQJD628e|7C4r07$10)%{@33 zQ}L-rBXo{7`Iu4@L8p|GTtYC-v!J5lQ>>pRT&j-cF_O6U&ZC>C;#B*Av4v1`9W^{O z{-j`>+>^Hph$qN{PRh^QTVU!3I+rmoJp3A3w+*kzol1?(pg@woFipfTLY&PZ;L|9a24)iE>$PhC)`cv-r|2%YUE4td*iJZ?PZF)u%SG+ zDnVDnYm|YF{(UKO7uZlt;=PgtR&j(!N_O$k+4xMs-Qep_jO z8_zewf%+GKLU)c2g#Qx6Qx*7X*C!&VeMHF&VawU3P987ugWvrCBrupoMdK-lc8Chf z@t+)vYt^nqlCaYm$5=Q@6|1hhM4wRZ!+pKEUBw0S5nuvPBev?AE-2&Qy9A}?;KMd3Nj1uAi!Xa3Y zRl3gxfgAiXcY;?%EG#-TA^DN1fV4y0#I%TC0*kAJ8pe&GS;79b@B*?Lprhq45&-s2gF-utif~55IqPwYhciXvIaZ(1K z^WQwn@93FG~W4FiFgy>+Uwi_5O6V?y| zn)3z`vlyrQCabfwR0gXyvfGp6EjUU5FqDMC!&?d-vv)<&rO3sn%~2W-W>mX~d9xH( zvXD-OA(9)rIS-TYbUWt4-g88EOY8l}(AJnvPB4%f9QbT!8GI%#-<(qDmG~*xTnQGL zdaxwOMP+)FoxP+gAOawiZ zlzt>CD7DmdFQcU;Q(Lj99^TBc5IhwX6fU3Z?g^8LBR)B2^O$QFCo#=jui!FC?Q51K zLhxb8H8l*w%JV7g$5dhJn@$!!(1od-w}MM#h_aloPsJjYryB}@ynb+D6@l8p!x_{D z5@F5Jk_50D+?Z@3tWL3fM2k&lb3(MqGb{*lAZUi||BoeMh{TcYpeWk&YeEN}QHVTM zeH&9RHV;c8W$WmM*iG)xLuO+|JLXhOGPT3b&j%g)LKfQUn{x@S#k~OZ0)@$YRktgY zT6Wjsx14OizI<}6)5sCyWtWs@6>@c#;DJ@6%oGNzr+D+3mj{RniEAn) zM04PP`l(YC^Bg9dZ<6-Sl0yt(f-Jo59>*Ns-%Ka|uePR{5JKix(c$IjzKPJ(DeSI@ z{4dJi)K$~y+n1Z%&&5YM*p?^+i#F+LLE0qEBDABIh@+o!8ou^r5su?8{}Ko0bwlZS zphPvT98wrC=c=n@T|~e`Q;<(e#VCt1)hlzm3`Ew%sQ{?toZRE-6F>XM5(3R)3dz>I zzGTwL!g%gUqnIU4@f9Oa=H@?KOz5_Z`oxpf%QRpmt3pA$lr&JA?b(HL1^l$cz{-ST zA59p)u*hF&CQCWmo5B;4+|NI)7yZsCynWlNhfbXUYI6$&JGaG>u(o=JZS z$UAG653x!!7%Ypyu{Z-r(5I@9LUyC}by_qYJG)MXb?1HMdhtr<6 z2Si_}Ma%pr9bmLIZ2*^}tn9>L@_85s5wXR53ON*@0}4&uSnj9uH|~lsn6%Gi7C6m$ z?gz)ImoR$lV$v^6{h*DF5(-3zP?D9?L7G&F&xWW4058;=uzDL2O7a7#tA1~SAza=B z4ILLwP|^@(*JUB%`)FN)6b(=sK|sl`y8!-_#3&-;C+7y*E3_>M>!=KOHD}c57|YA! z(b`SO`{a-7uhIxx8FooazRV}`%Z~!=aD25`zh=bBl{ljks_}K6UtfCtWU295_EvZRV>xhVG zs6wNvDqOrifdN2FWs5$gw?%-Gj`BY`k3=dUhvdHtI3w9&kwru?LO>zYV-8@L&k_Gk zn1jQjQ#t1XhXE*PAZqMKkz@AXYcGvTEi$##nTRiwEt3j@;3>(hf=Q>dLLfZJ1~P%G zVJ9%zgZs)b0vz?giB{o(q33noAtV&r`wrAQj9hfqxkF$xGQ9LvJ zPe@SPChdi3huT14u|JhQgw1l03Yy}A(yqJudb`udB3270oIDIYip2!v{P`k6f{s7em-xB=ow z0qD%)d5r-Pf_W^a7HtO@X6T&5&~H7LKtGdjKjF0vqkGf?fV{q>6LmH9{CFk5oN&R%fWHy8?leCKFN{b zha4gz_AVi~ypW{-De%9I`J1T^AEMkd7+ygWx5RdGrUW)3lReY_?b9F3rpdc|1Y2Qc4)U4_h^jRlSswZJ-Lnz*ugD%FFt z;#p~pEOO(gJq^4qWITlXL5l)CAC{OpCQ?rj%@Zt1urWF~hbiVtkQW<-bIVi9LpmaN z&Bo15e0`0=phniPX3d$uYV8dlm(TU#9%kxdvm!N1a?-SYutDM0)L15F7L%u0-G6td zxbhb)W<@%1aiDxcO8?qR`A8l$c3U(eMAh{4Jr%(l;d$!g@>{_%OFJW?G)j8N zBM|*#EUWThi>|Ht$j6R=TrG8NsSUS77bKSCsCUTi;+NCY*#9d(jXCVw zAoey8p=`qK1QR1eX|L6$?~sUQJ*hUG)a+*TAl_%&t%Sp&7&T2|X;B1q#7_LBENU)~ z8N~h#2ZNfW&ffj^)Y6aAv-@3qu=$c+9PAR8LfYrr5Dm{1Hvw5baAH{%@{XV7=T(Xm ziCK)7Iv;-?f;BW|Ww zN$_M$1C|S3<(Dtu51Oa@H!E^K8btdLSOt{y2YIEFO5}gF^YWr2VVkOZ+uKF^$D+BN6j5WQp@oEJ=yU%C@|1`AdKGRpe=Z_mC^wWu41T7K9pHT5<8V zVI&UzRB*jdUAJ9Z431hFyE0!4Nvi%<$;>ww=P_w*I}BFpmm)6_pcjO&3@htxBTFo7 zdfcZARfq3C9He0gRSA~eo3kc-SXo3VQ_W*0KjmjKo}2XL9+BsrNfm%%!%j?hm!Tep zy-#8T5|cPSqKwuqg1)mucUgn#YCD_7R#Ro)V~rN7refYj8(Oz$NnbHdlE z?mexSvvoqDhqbkU?Tg|O3M}(qLk*AN0LN|&H$8KN91;zL7TP`1q3wf`#CR{5t~E1T zCT2tZsIej<4%B$;fZ@r|p1*7i|I|%Yhr%(OLO!Qk(I*x@67HkH!2)c`^VfwPPr8M# z;`bGzBc^tI4Iyw`Tt}({*7Fa8Ec7mTAUx@{!ZxK*rNPIKmCE<_;;o*?dO@J0vEy)# z-4D~=eWy5PqXg&PJ$!r<3pdF>pB<)_qVE2=@n6r*s0OFAQ5x~*DZbWbd&^H8*K#un z7fA96wBveL=6YNK@iRMrpA;Ya`^SBEyEE}E$D6@PxEzpT?(4Y{wXw4q*rgT3&a9kU zNMi4x7p_C13qpWsN$oD;$4CwwIt-Y0&V>cT`fB=@RHBztH}yIux!dq)a?cIt9QW^v zX-sB$I^yE^6x!PJ{F}c^8pM@{hjC$dOzb(5gbA~M-ynWhc?oBE%JUI~U&1yd_vSZG zl}tpF!7FR)5*t^~x3gQ(3p-{!uBA>pVBJtzgvz7Y&E~EC&=o06?9#$^DlXn-YFop; z)kB!FrgRn>P4yrU8|PQb$8=@O>KbIJCrrrSIU9!8q6yZ5Zs&g1$%WYuM+IKexOZb$ zrV#(HbEHN$%HU(7424Kp$@_T|Q+EN)<)e#ItT{&6$&EyBYjM|aoJjM8IdgYZOM3dY zQI@zE;p67Y6J7-z7;}eFWj36yCu&hLP%Bohu{cM1KencfZMeB-nYr`xMR1IUtPzxj zUu3gWBYH$Br^p_9E6e|iU!ebRCwrQK(_Jp+<}cV>{4fy6t4vmu3GkILE*A1sUnYaI zq3fK1#>m`r(9^RT+#O4XcOb;4`7^A{e>DlbjOlzke?0tqK-_tKPgDWY)^t@yjr$9@ zFshM}DqyFu1QM-8l?jlMoIIwnlUZTP61Z#z!narc%et8}=CH1x&i2{T%#2*x8lA1k z!#Swp#w9nOH~RB0_BC=x*a_(!@K*;W83#rI&Ene!4P&68sm~qFfI8wi#G5G4Zs6(c z_sXLn2qsp{UDY&RcPG=!+WoUuys^87th=^9YjB|QP7|=ktHc8UW1WbsrS@7X8hn>X z+jWq2Lt|)b$}UQpQy-?OrAt&gVl?4jS^5Ag2)9BM^?Rnsc8Ylrwr(N|Y`NmRSHBHO z()e?)@uyxs-PXR!&M_d1VP%za@l|ou4u*$9-VC$?r_7Ren(B{T`u{MYGzl zJS+bD57ev>YWJ<+ce7H%BZU^(mbi}Jza?T+Xm3EPcj1({uGQYlK-$?-coBLQBLA)* z&!@nfz@vXgGQMbDz;5F!&CaB_9ra5i>FSGhBWqqAK5px7~>rgw?qRrdLnoZJVYA(VZG$^7igYZ zpqmGiAbWQ%cx1zof0^QND~R=mI}yjJHOcP?iKLGribt04A{&QDpck&)&cUu%_>hk5 zu}>-NQO#XY^b+rU(X4MiSvmLN5K)EMW%?^l33`AxTgVUH3ERish63T=$W6<3gH@98 z%c`iOOsB&biFvNLm3IawnVaSVdts`90#AHc#cX%MYgYn_Wk$z4(iY`BDf>1>6# zC#ZS4a7>RZ2`LG zYvtoxuB~%Y%aJq^H7BPMfErmU09=NdPXyc9+4043w_Pf*sb+_c=|hb?ndtF63rAuU z$L9v9@WS?pb0sMe9fgXhtOgURm$}NDSITTyUvVftnp;jXZD~=<7-K!xpVh<>2Wc!) zG_fSj`wQQl;oy?{?ZDezrTEBn07nx+QHe1Dnc6M&ed;5F7{iE_9KHl%shIyUrEJOZbq>=(eU)i+pfq8`Q8aUA`X!?ZB}>GhXUG<8_w7>g zF~?x-z`gamTo&J`-c0Fy#$Mu)=eIgmfl`sd9+M1h&5YE-T^`phvkXB`S<>x8kBg4y zErl3m__Hn6jgAI{K`7W*AIA#^4#uDLV(DA$=(PG^puF#UUn&(pE3P|b-IEX}Q8 z`2a1Em)4u{%6KaHD1z#e zMbuRimFrh;nrMbvuF2_;L#itIuoW$fHhUO_D}Mu7fs+kA;7H%q{E+RJJyQCqHFxlIJ8eT9ouwKMsQ z2ANeQA=OBS&`*jTJ>N)d!RWC$PWH-_1MH;(Y_8dEk*)pV+GzUPm5N77~O)@KKnPBydsjeb@ zXZUfMayLOceV{*6ps}>B*fc2i*Cb2H%KnfM-17GKZnabRLAOLmTEc8UnPj!L!h^w$ zFzk8;Klj`Wp?ZdlDsrp-to&i2*l$K(RgzRk>GP(AudSaBLeP`xd9jK2NHw$joiF3< zx1N#DmOpzKX5d``Nf6xGl~$ANE)3-~E&t!h6_Q$s(LBXmDT{EkoSdqIx=kMpzywI*jkQ z4o;Wy{03|xnq~B)RLb}Pk-yLD zao#Og@2L-@{|j+??f@R2*5Ys{VA1su_mDM`#GzyD@w` zeZ%w9-y$rO`dU-`nvmXRku`&+``|#)nxUj%KAdCy)BHWRR(o9_bmVw!!6w4KFHe|Y ziFlXcl7zeV=14@JTZ}z%+hM^r=1$Bz5Tm1#p>4jA0C(~qz-ly*jd4N~Qy7y1LEk^M zz9Ow9%_9`JOuzXdOK60mb-6FvbV*xk^(8!%$;M0%0lZw(&aWDG`N_Z}1uGnGUY=WC zVP381(80rJrI^3V7)m;ms&*DGb#C|SG*H5IeRp}UMJIU0X%d*=zmU$yp5)Rog1GDH z+2N8HCC`7A^!iK5Zwf}~yy5IQF`L}=WtDDrI(eTFZVX8Qxpgdx9rX+4>x)gvQA zP$_rG`U9Eu_CyShmmd8LUJx&Ld8PaDH)`)jb{bKYMG;(fupAsNm2nhnlF&KQAF<#< zs!?w&dhb3NGP4^~zd&l1)-grB_C_MDD*c$G54TxET{S{1Lh3R zjHrl1C_X8xsXe4qL*@t@uzD>gEi?=A7c!TuCvql2NpOkKj7UZM^(Cr@i^w0VyvKE& zN&+doxzY9G&uDF1zl~#J=zfW0@nZ5~vCtZ+yTL;-xn>La(lBQT5aYvMo#9uLx4f@; zT&#I-b$=WSh_$RS`nyjos=;Rz!}2R-8F8^!7b`*(jV?y50=hxPcoU_6?^hQ8zV`@( z@4tB*1R%f)PYl*|?Nk6xXT`-fnwY;xY9vKLtveLRbJE%q(U_RJRE z8HHPFa*iurl`|{%++3FUh)QZb6h%rwuCiQL0FU^=TmvIEWLp*Dy4 zdX`5<&(Y`>Do;j1-z5A*3x&rl_2PAF(gBDCqZ@C$#E#+P&1n2%LJKtC(!dWfq9adX zTBE$F@^2C6Xl?2gOL+WZ?^9$to;BdUN^8S^2oFeI98c)NgX}(6*f~h{E9eT-+0a^9 zi=V%IEmADcurH<1AG3F1m^ch;xv)mge_}w-80eel9Vx22UnyF7`Z&3h7q*}|Vo%V@ zO5-$xWyyY&pJrz|bidPO;MSG71KF;?atykN{T{;ak)koai}A^R*LrkN zq?i0Hwj{0pmP$I7W`^v~|0z$OO-zCCfIPLmFv?88%*VlBku5-!C|R8T(orp0>9Lf~ z)9?^2Yi3E^zcr1r&hQ2`3ngj!&EIKIiLGhoi`#13%~ha=;iuMFazjV%nDd=xh;kKb zfso;=ZrtgH^!b~j%l?D6c(Ux8?Aw#4D+yv=()LVI|*tVhC_VTzQ z$&6Ce%UF5>o?&u-9E$BLI_55=Fa+7)Lbk)-nNra=#;~JIGml^$u|-*$VpSugB07n} zvIZ-jtL-+eB(*{W$75VGrL~2TkA72RL`v1*pJPVw;m4BTysVA2tdUp|SJim+>fQZf z6IT;|uV)UrSsNE~O*iUt-D^cvh2)PW!Vze~(|>My9WFAEIE5#ql})5X>Yd;?kepTJ zXwwx3m9Q(_WLHNeB|Y;S0P!NUyt~+h0{upS_czs(j^F6_vr{&9mU@Py64~zG^G|AS zlY@H!GV@LoaNO>Z{5Y3v*!(6!jJhxs^PRlZ9e5-6QIDED>yhpIE04?@uq#47@4nCx z_x-=_^+OTPnki~LxyFZCv{ufOnkke&wvl_X1xYQHGTATqo7-%Rnm;@I<>|ykalTfh zy|>>RWq3|*W07R<_SJVCv!S)?_;&@7lSEYo?8wf&zqfKgxQ}(i!EegiRXc4GOluH+d=^Zo7jC8W37^zRoP{4{h3jE z6pZ}(&O#<|T)Pma7N4!$k|5ooItlGMTOG!nUZDqRLNNpqCqoGnD4;?B#;&(X0Sz2G zRZcU0`7%+1ESb8~;IqRqpR`0#d%4rH_UwRwR;q9zTl@pCN1U!7+NV$ zUPp?jhMbUjr2G-@@dRckog>TUEY9rfXt=!r=SGeAp|YFnpVFv9a3c zOkrT?XG>zUD-tQ>`R1qo@2!2e8KpkCzwwepHpsVU=Ol0A;9TtaQ%Rwu)-2!c!Gfc; zx2J=#41w-Jw~*NceD~ZNTT-_mtY#FC4F3KZi9-ck`q_tCWxspv!xpMOeY#7* z4NNI>SVIZ6^`&Lj@Ay;>ovy2!4jrlsNX20+#lwX6d;($ZY_HL%u3bqP(rSV&9fBVIaU@wa+9OLT!}V2F4L zACMQ!{B}=HZ02{e6jxCQ#wW%Grt`Y;j(*O-?U`}&3D`DOrDfF$j40ub0|4(gGU6iY z#;hlBnVPS4I3vnEc*W0s#0m>xD{X5-TV2>bKdSXnx;+b#vQ{% zEdrmER?Fzhf5?D(Kbi7fS!RlYhhSQg+KQ{3bx7h1y{ zFoG_FKSUwNannsI;1WC~=u$z*XJvE_)~ztYEo?L0PKo4^KTjPczE(Z6DI=A+H{0u3^ zs?QB%+I3`seGOtJr2JLnYM-}kt5z-h{U*6{_3t%hHQuG!uWWh#FOXL`W$WlxiWs{P z!aqgBQ|{cvEJk+4>c2VUOZL?|6Vt|#iVpw%q)6bE*K)`9qJWl{_`Az;$8;;3E31Q* z8Ka?^T4z6{kkuEadv69Ll=kA^$c#-T+e9F~3buy;5l@-nR0$$)Q?`%0E#b4 ziZzDzvLEN`v10JTfZVaM%!NfP=|rPQl!6R?SBUq+_sNsXjP&fN=d(`C1hi-eD$Z#> z*_v+h`poB$sU>q~emOg)shkpJ%-(Sv3TM6GXab%%xtxohLPzjJP>ZP4B4aPiZ6+9F z>=}k$tFukxQqa%4&pE}lp9BcSRc+A9?EFRZpQh=L^uJIG2^k7tbbZ4edZI)a`f98=IV@b)V zx)-57U#OoRg=gwUWwSLTl|?dJCVxF{QCDo)NBz#gaHm>q*e|kts0tB!ytG+~jpQ}; zRMWxz2c|AY+#pkT&tFa&(cK{db=dQizIBq)G*$|n6ai??{g5le-Ziys95$tWO|60VIQg#GLFUBy&;~U=z3=H;Tgygw#J;fC%TPwA@mPf8s7gu>&P8)9Xcz$g zwPBv52=i?jmwypnzXLG_W_0xUqI=c(xoBuOiWcgp(=%vmk>93?_H80UeAmn~1d2ae zFwx7a*N=|@dKgKEa4ljRx+}SBzASzd#Y|R2CEjxi%@gTo3EQpC9Slv&*TqBph=Vm5 zeHwm;pkrt?I@b<)JepFLD5v$5M!ykX$2%6shdl{;-9CNHXEHh3@XZG_$ws;f9~^8< z@azW zaL_vAMs;I2B*%T1KOt^~Vz3mWXpfGL52V#w3WyCjJ%7xNR@~PGE*qN!i0aiy9z~k9 znW4YOV>#tVi$-MwodLrq$2Xp-z1vxHBA2aNA>F zafIX&Ry#suF_V_Yo|tDNj{k=8E@Ccp*47ct+pk2Xb8C$$jnA1eirL8wJu$iJjGnr* zdN&1V7OhuKp1wUnS#hR#JmzfUP0E(EEHWGV@dZ4P(4QeZpGKI?|0HTYZX!>TM1)OA zqMpX|KkaoGq8^o)!pf@{Y_WFQvV*ItS{Z`23o4wCviXO8`ry9N2}uZ|@$}D3ds^yu ztE}Ku)EtR;PGT@kH1cJ{$Oud}e->u+VOHnOO2n|FaP{|ufILNnE;3v(TrJ7rc$y2S zJvS=t?sl95F{a~glRQVS_9|#{>Qel|nzx42Wbj11kV!G<2FQPjz0ha$c$oZZFNL@E zp34b1(B>_EWnG}*lT~IHN&S}v|MK+1-OZ#rKcGF{uJQNu$nkVH@z#&!N0R%-I+5W>-)*9HOpv{_Hm|4R*7do_kE+I!>Kl- zG85ODy!^mlI!%x4OpjtTg&AY%JrNu>-lAD@JpM%^yZhVJ7=nvUl{YZ@8|4pW{Op2D zmR)&I@D7drmxFO0{6>@#U84q#DYWQ_E#pV;}Z{7TtIS? z8pC6c2Xm7ata_q99~^Dg1ZHP}6ecd0+!EdLzcsK8H=m=eFJqR+Ub8j5R*s{kZsumq z#9KyI)}8ckpi^UGqlu+%)YN`0lHM#aTW?1v&WI+MZ<+5iW(>cNA^%O6Cw*-T9>0{B zV`Sop?H+4H+HnwbFsfC-blKf^O<5AMDK@lnpoMB#-4%wGJQVYu26d>um;im`;taL5 zOhMON=2>}UYLk_#p19y`K6)mMe4cb*R zi3Tu?oQgrKwY9IsX6eUP2?AH!NlgEwrKYCFq#fcwSE6hwc5G%{{dP)jgJ#XI?nhu$ zg#gZ7BVLYU{%wh5Kh0d$zVHk?;yn8wbKa#o!+tv=JT5+&Op>AzM6XbC?f;d{6Vt(QH=pgy<|yY4c6^UQ(2suDdGLS@g95J?fa7Z=0%78SY zeur@6hgNmp6qt7HY5-yTWf6z%vtVNoj~gFTfQl0@?va>z(Tp*TcqaD#kSC$K;KP-? zt$M!uA!2q&=(K~e@>=3#;SHX~AdW-`#$ILB!*x6K9_6aQk)~9N*QcuTeQytquoh#T zNZwyf<dj!3;|#RYeXp)&R&4umSPA zG@XQKyxEjldQKLm6wSoO9Z>#T<5n27&I!;PUi(UAAhhuFyS#)6Nyt_Fse&Z7b(e&T zc)s^|Y$oQzro-u6rNAGwVOnFlU)9(z3=@e{gQ17A&;KOusQ+vOC$xziaG`Ag@f%q8 z2jl>nC&ueR&UC7nEt^1v3xtDb;#xc-SckSt;i*{2hk@|uR4HWYt(<>t`S0EwVi;PN$u(q-j zcA;A3)0M~Z_=<2=^l!e0Bbx-(r7=VrM7>VrUJU4xS(CRd56IfQvEw|-y8MytjW7M` zvxE31q7?O->G*d%gb28+Y&|mccIs|tIL?0TzfT3 zq=73=7EbwWoBP{ENP>!NV|OqHP8DHN(+D@~qm2xPV$j`Ey{7TNwY&AG)5@_AMt7tw z+L?P+^&|<-#zafepFRg9;z3k0WCSrj@31^MrAG3L?!DK0hAEQwmKbnc za{di2%W6Gy&xx0uCVf$^)F;(keXgb=DpR=Ci_1SPT4waVU7+4NzN1W19273Jp^jPj z^e$2Ti2=N`tVO$1^Xiu5+l=|v=+lX*(LSZGY}i+*ta$<-pA=v1Z{A7oU%w0$zH*rM z)ypAEP2{OIyvd*b87r4*2EmNEpp&WdmF=5jF;#9Ot8vVg8vhOy4WE&OqL}6)b=V3@ zZiBY$M8l<*i z18c*dKRC;C-!X$0m4W-V7UO1SO8bAxwM^|S*w=0b5KJ_+l9~DFSaKE6%l6XRY7+xg zx5LENpo;thYB%#!caA}v^k&z>0O3b&4B0^?SY}_kz{%#)DV}_%#Oz)Te)`*GdnUt)dL;_y z4?D%qtY#cazQQ=Me)6bv>e4?^8c;i5=)b>gN>V#%2smg6dQm9ZNwHt7+4c1SL6Ue6 zSB6Q&N7ZsIw-F+<^~XzsGa@c>2DMiLtL97F*&^tmV|@xHzN@rc+)!_!#2+zFOL72fDZ`b?^uA@)cajs>9;Mo*(XD{Lf9@r2%xw$ZJ?&)rVDsczrX z`#!j*vTVEwZ{6#g&|D6Rrd9Gw1 zWuHnxpg)9(-+c*56;|1LMbQ zSE7+86&Vci@?+u_o;cwa)P-i1vo*^1J^RN~;IB=$eS{0DEER1Lh6+-a+96#PZg**V5q6$gDi1aYi%o@CA${=~n1?Ez9S5{q%{a#E)hJ$X zS4+MfrVo4z#;)mqu654L>ngP{@aX5~^y5cPIlP0Vme=EjH4KiAOk#7x%NmgV6p}ja z3{#Tz@0ZmMXir-AJUuYD(>mbbvjgS*==O8eo{)1q{|2i_3 zDc*7~Zx#EA0>`A+C;!! zGPzVblPGOU?@i|I4bX3&+tn7pttQeqceyoMn)U-lJ1{zNz$EHuSx9sBLk5Mqu@w?D zv>niGUv~8n0IHeH_o#tY?{(k_KKx)6TF6O{j{E$Cp znIuF<40r_k+2>oqcbH(`oriJxP|V z8IYIE6$1xmz4;6yCtcXDev}jCp%Xi;9i`o_%18bf%u!A~3q%?qs@&+9MtwADHRJ?4 z0H*S;{8J7zH+qTLN9@_NIXWVvN~3uIN}X?|lQY1|-7sn91Os0!+S}W(t{)$p@B!`2 zW{wQ)$-o;8@S7X4v#s{Ec|A5ZpAlI4kkY>7H8dU5_2rnJT$Wy8 z`FzGe3wa|S0M|}S?XGuHD9kS3nHShpE$9zPMIe*s z;=aQ3L5O^@^tg!u`*?laX9EK~ebR>dEc7d&6Ze|zYEv^YF*6^vi5WGralgB;+iVGR z=IT-Rv>EggZB=rVZ?mh0>A&cs`v7MFmX>k5qaO;To+x@59o7F133ZVMkwhjk9>S$5 zgw8B}(mbCkyW+&PSl!Y8i%?a4r52sXZp7FY7pR*^@76aZuQ>6X;d*6Ge(+T-lP>rx z{469N_E!wy3YGY)hw3KDPqr&2FIkq%%S#a|`K}0kg`lL6AT%jB?tBm`XSjFYPds8z zw#rNkz{h)#aHMl^o|S#MQJ4~+V=_Z~g`%KVpjF`u(>;??)6QKfI}GhZljt|)v)Z3#eg_N3X_kBirD#$%6v#50>L>GJtTDi}rN z^EYc!R`Sb|I%jk4@^-qOc>|dPz897?dal*u#&t&LyYbLN7vj{(C1)U)(a8_97yD9* zYTUb0^vcK4h!m7eQynyKE{_Ne)WqY-`cO1R)#)mjUmj9CX%d8D{IZuarT*CW1{-1z z)j{6!NGY?yMET)ImwcZV6?c7qTm(<~s?UYmh*yR3XOi_R@Zu}yUO@A82PDtPR-H7##Rn@6FDLQtQ z&#W&D=PE;6DGC@X*BegQF{3A$Bpg-ec_ld_r}CltBchBdW#Lw(opp#O1vYp~zgVZA zs_lpXfqQBLUb0mf;}a2aR6ZPrd{W-hNtE!Jm#V$%9z$EAbE5u;-&jtOvLs0Zwin^b&diPB?qypc1a%PCU5x5L)%G*rF{k*#8+l}T}J{c z=x)CpB;ZNDyZfB=#|vUC>yHfc9c~6V$(Ox@ofxYP$H|iyG>D%G`SPLvqjKMCt;hQ6 zGjaLS2jba_KN?rB|DXo;PkUh6Y4f)ENbI+#BwwclGVhJK>2oqmF;SazIx2~>$E>Cb zC6;kINT;~m;k5xDtJ3RCm_CXBI;9f8hDO+!i7G~+r<1C z-<-+M6^C-(X!g-5hL!x`Ao4vrN55$&18;0-FUTRhLg%K=MM-&bzW3*U1~_d8RmyOOWcMj_wxSlJbqjI%H9a&Ncv( zTc7m&6v|X8s=^f;t|h8IU)^+HiYl>w`P44}B%G!Q4FI&ejspb?@G~D|`0VC0&s~qlKlGG9!=^V-qm(#Haba#I=4YlI zCvTIpoX!F6G*XXf1&}yn~kPxO_T3VtJ2mm!CazA|AN!d_4N#{qgXF_r{si%TkP^;$ z$l$Y{lfk;Tp&j8TpIxuEmlt`Z)zNZ`;p{vd@LPx(Y|A)qu1VZfzv7GAC0E~9eR`8T%-g&UrZqU>%%N;-&FYX7nX_Wabh`llp{NO-fnv?s_79C!8QvHe`W} zTDA$xV4qKv`ePQJF+gHF8hjqc`7`&$;{53t8?MKgbm6cDZ|$AyasB4|;+cy-7|&k* zp;+6v7&`zYjrVtVM`Euz7qz1|#9aL?u{8ZiEKHq=iTbpFZC%+Li391@eGPDqcx#WT zeOcLZ z2K7v~u+;$Y2d}6=mDK!5*}v6PZ9;!iI<99ArsBh7nJi7&0oeb2q{K|j@Vp>E=pI}d$%FQ(G{CSCB0 zZY+7mrSQtyy7(30r<-c!A1b%j9Dc|=IL>Zby7r=aL8?UjE=hu5g@IyGVT!>n3s_9C z&u3;qQ%S1Jkv-~w@0HW>IPk0?6KOE@pLK8M(XQG>9r~D9f!hl^%8_Dn{Rm z-W|K+7dgDkl6k9*RWnPX^h5lq40&dR%{9Yielk_vy1eitM^ozmVyo4TC!f9S^EX*e zX9g0Y+$@tbbIBg7ZI1$(;S}&ugXA-1Qv##BEHt6fB5xo$zj3 zN^+NDeN+aPb_7%p_pGyfCMZ=43qj(0%cax4t3X^oEDx#PYo4 z?NA_YBUaYd{1O)%+}Wx?lj_g|r4n~fz)F`;(2+w4%uHTGpzKxH3t0Fua#ZW0? ztih!WV8g(PIP4~S|7D#RsOSMX?Hbt&gQ>(RzxL-iWgJg8hT=me{pnwEW_!ZcTQX$) zM_ZCiBydQ8S6&ct)+{Ty>rS`jLepc;OVegUY7^Q&1@&n-a99EbhCLYK08P0O@=2`9QRzQb6Kftm%ju{{4vW( z-g31^>8kGYg&pY*Mg;!v0NL1d-e$8=K z=F~UMa(c?i6R~*eWGtOL8Ox_n#i?`WZRVFxMtyS1!wB}q13Jsgu(!XFUR9f)F}Ud_ zO~nt(nT&OvXSFL`NPDN<8+^))a)tMR&+5Jcp(PHYEol_HE>KmR<=#fmnU?%nw_q|q z{e)O&etU$E;`bKc_IxY#M`za(m#&2`SQVZXD*1PQ`XcFt>G>xYE{pu7p2UBD!t!6; za^E8-Y`0>|wVSSE?u+LI$m;)Y$TK;8vp6Fxj{ruzbVn8>URE@z_^fy=SXD=k092`x zQAOv@syt`Lv8y^W>|DxTVG9H8r2CxRBov_)PVtil4TO%$_KMK6QMxAB^xTTwN~KUX zjw$ly_sR__?vV4Ne;#d*of2dDmKoD5Z&iMki#%)zKtA#Gvp)CHGifc}NEGmsVq)_( z4QSs>;Y}~&v;;cYQ#G!}J~KBffW)j^&0$%FdfVIH5GR-B+>lUw%{Fhs(Ve!JapDSab;e z_5E7Vkvb&y_^xlPdmuvR36J?r1K-QF{6PI~gvdJN`FZuxUq<{?e_fIj@>2ZpYuwQn z7r!ViFQ=xDF7MO|5@=TTgfW1v!V+yp?b^}9af$;GXzz#O3sVHxmr))c!&r)#j>69h9%RbR728G#K9xUBRU5%d)MM{WFvNtHe;=IGuE0nVyi8X$zINV<*_53zc(GV zgR?Om55)BFxv0ggFtXy=RXsFS=1yJuL16Ph`da+wC7*refy3NKM`{9M4D!V!yx@+vE&1gk z#f1zb6a7@$to!upzFeUkV5dBmzGj38D^^Iwt27oo)dlvsypG?zN~Ynd;vm)nI$ck4 zrw{J}O$@X4)Pu~3O)tJ;icY(oiao#1bKf;dcYR@zbjo_Wv70XNB*`&3t^ykSjehKl zu!+5@aFu)Jx!0b%X;sg+Q=f+LZ}pH=(tH`zOYvnA6+1dk1<2^i3oBzat|Jmm-ooPw zU@Kshde2OfCzgEFDdYsOe(q0YmQ)&sa8%^fx3*Vh$mhKD&&1j&a9})QM#Eo^O;XKP7<+vy1tjIU0}Ga4hk7gzC(rol#8}ilwR5!s0p}r zW#0ai{7g9RW%zzHGKw6y%G56DsF@9P2MoWuyXd)?h1W$PR&4eyKZVFN9B@AMqyLgNWg3@I132?-S7z+UPX=}T3Y#)b z`BT2J!?=vcOa^H1I@n8@vwtibJ1;U^$)~pCd?P=`1#VX2>1Tf|R@OflN43q^AKQ-I!>wrU^Cmj8%u4)dDkjG+ z#KPp8VrlY?FfhRKW$rYtzpj*|oFI`NdTmR6OlI*W~$RItx{kJ?& z_B54M6|ewn^F#N&$n#Rd6)Ll|=s&!aycW78*@{Zd-11ADRamFZ{jE{mk@`6P@+c=A z6wC#cfzebT6$|49HjVxPqySI@Qh`tzz$cj}4pbDvujeCOvzR@y zy(|HmD80f{%AMZ&uY=WHRTVZ95I+yB~lE#i={#>7>6j1Hf=@1T^Vx_=3*H_D-yBHDkNQ7lvdjKlE?%E+r?x zEyYZGFn;xh`Tak`_yJ|ofp^TEz*P0o)Dii9`T z-}TP7#yj5jmRMd|i1p2lcBjzgOXoo7hl)?fRAAYbPjT_-dYudf+IZ zOPPu(_ImLBtz|%(6AWZ$j`Gn1|2DLnG`;xjoWxD{p`yNLyr)5)syK*WY5GrDx2)1; zWwH%r4&_t75;pD#Cxg51?WbpCW#0g&gCjb+!>CDMrF|S8BCNwxPGney0VeX!pqK%t zxA5R_%!KYs-g6H)V*g(PDuBAUqhi1#W?%X4cLEf5zSfy31I+a8AF{ljZ)unInge(C zk<*dq3@&jo&?XKK7yzUU4l0oAIspVL^)Bz63j7xj`IQ}Krn+u;mcHR0kZ90Hs!9`8 zP?Nq#bCNgxXdultAHX$n%U*eR{;MOA46sSfiE>X^mXMP_l-vCBUQhwfQGnXKfLVTB zjbn%QIy)Jb{DEk6-`-o1KD;cTy`}Uz=9dRZhXCGTfyz^HZuwKF^!hGuv9p ztjY_&0o2I<*eIX8ot8Wb%#HHWO9%N@K7LYh%trtg`rR)DsV~aaxJgff z@OC;ABBc$%17r=e*FnD2*Gx{u{L+aycj3Nx@ZpE!!ABm|y?{M0zp6hwR9KG9;>&nk zE#B}QkWlH0B9G*$+~dW%q0f+yay7U#$P_5lJ^d5UU=xGJ%Fq`WpvvToC|5u!Va9A< z3^SXf0-0l#@oZ-m4?s7=D=)fQQ}M&KGW_!A;@L(wHkF@JHa|gm#j5L8IZ;mibnlBP zgx`L!jthM0*YAb8ad*>As)D9l^+V9P4a&?;QGj+DE*VuIe6cBJ_-7E0nUdXdeCRdt*mXt zbC)j1jg>Vo`SeEJ$3w{K%Ib|+Szn2^I&dZ5N3IR?zEHU{h^zdX^RArr?Qf80jp=t9CLmEGWkWq>LqhP&_7!!&swd(uov%AP>rcw1 z{E(LNllu~-H~q(U9)SRbhau#Vw6m=EVsB=GEU+n^ zy~C=LvOauNQ(NF=A*BZ2co~XwHYJbyd%MwTZAPoP6&(#64dRh;$thnp;%Fs6`N)t! z%jkr7HKA)Q!RF|=b-6MjlYDzE2tJi|NMD#UeSj~HtID_2*}G}rrN&1egp5(YfKc8? z;H=TyUrgE6uPWU1>};Gkc`DAHyC+VcIU5U$OEEPw8?^>6QH}Xs115G3RDaxi*r8{d zhII(C>OW^vKbFdr&&pWNWV)cTfI{-Bd$tI01t@#tD?TN?l3A>FF-nkqL@_R*Cg zO-Pp#XMf!CQTeONrF*EjL%!p=m}2K^FRpCk8NS5D-%C-YfnPp3QU6itx0*vWsGbo+ zDR?moE3wmGX3NUo_WV^>2@+IZUeK@oKx8yKKML3@EP}xds^jBXOiu=6n&n6$EU?3% z1exV<{m6na0MJP_n&tWFIK4COkV2r$d^h5GYhVX7JyGbVG>(=n$8$ysz+ zz!b98^{sg3;^o-b;4Nq=!8V5p4;g6EKq0^;Z}4?m?KtQ#Q!wgAx~PWfvo{55Hv}k8 zEX_$to{EO@?ak=*34?16EawQMmPYqYmV%^Q)n6%-a*u|qX1H3cbsz$KrS^P8nI zC~Ni!!J|@A^5=a=`t$xckGgd)p3yM?ti9|)V^xDBr0W3&_t^EiBg#d7XQrp(-V5jB zO>cN4F6hcpNt|uDvL?{J+f=#le zMG0pEv2*$=&#Gf=?585fS^4d=mX+$S8&IV9OZjoTH7~L&4P1U4iu~fx?HH=a9S?1s zXWFFv`}4KpNDUu4th$ntuIPiZ z>cQV}6M0~{-(^#lrJ;f&gA!1Z&*YJ3B4wX5apbwWy3?)7C!e`oPB=O>$|t@E%m6g^ z1cJC?vR2@yYso;4G@Wi0pYv4JuWoIS23a}`+_FF7!cPC(?+GEWoriB{GfTywm#`(@ zJP<>jB}nN7>tx5KEB%F@(c5_CyZq=pW<|R*kqVC=^31VL`-cn!^QAs?6El^aPFrQk zgWs8T^@~LUcf+Fs)w+_O1I}yR6F54UjN0&G%uJk&h51Dd1MvH`AkxiQ@oYozrCf8?Fo7I>muL4RuNvdgi29QaSYtA54>@aWU#c(Z+eKIRq|ee%jApLAw6M8I=jb?9UN<=^LX zcEK7ZWx}#(IkSi| zl1~f(+~8F}daTw^SU@NJ@t6d8L}3{WQJ?+!R(_RPw+)#r1HO_x&{x|12A1vhK|5in?*Zo5~;jf}DQd-a^He-{M}vn7Zj!&o4n}=ewr<#Cue1i=m*YI5Ac@ zFrvyJ25^&%tKw5hl6mPxT*)B5RRvTI$y9C=B(itZeiaMxxO0*l721(9V9%JrYs!w8 z&T=vWL!~kkITQ`Wab{^Y-uZ_6;vEm)6SGr%`&RiQ)=Ch%>5~S3x+g{Fy%1%PG!02v zjC=1Y$~6m!^5f9kYd2Qospl?szZ}GJI>OB|Im;CY$*w>SOX{6=E~7Dm$_BY;p;=vB zk>c#c!w=jW=gyw=mmZk@-)S}db~<_DRE}MR_W|%7l|dFG%G-E30!hs9%N;i2r3%J) z47kYtC)b7k3hz0mkHh!@Xz-6Kf{H?dC*yiHC`G6V?>fP}{)sx8l9D`gayjlje=g3R z5>Fd-0e*o0wmO?UCl0w00+BbnjG54xNvg+L@@2&S;Rr*_Vo)JgV#*T2I;NG|+k8Yk9O6?E?-f2Q)Fe znX|$^K1yj~n1OD$rMJ<+&7Ih7NpA>jQht}!Jf%)lU*1*#SY|s1=V>Y*W6Ikodq9)x z#J?ku_F51++{?}~+`F$+B_L159V$AABMhzg^$einFn9pmxBwh|p!>d7Cz`u0uLAC= zZ21DAIKa}j42Q%|&P>OYKxke48OJRROIC(7_@HlNrjx!rk3mDOkaw;{&c)(NPB6?y z(jOUcDo>am=u7~bz>}AuWa@gZ04KAc`1kTUWvt4{wR>zFo%oanAy$avB*!kg-D{ z=&GNtksW>!UY8|HXuDz{E@rkAo)xy*0wW+6jR@m!2CHIoIZr@Jc8sifkqIyf$Y6ib z^894H{n7LB&NrQp6Uzd8?kQ7|=4@$oPl9rC>i9uBxoon*$qM}-HaB^jcw0%byaj|y zrOP*j*SDMTktd&vOINPC;g$WH2oobh8Yzm4qmcNz4SO#4_Kv*Nu&}h`CHKAdp3m(( zd1ApY3oS0q3!w0A_H8L&_JUHiL$RSz`Ih>by#rz?k#Hnl|SAIFfhJ5Ln zI4YBc!oTu81mKhcRtGMX>~tXpMULNoRXSZ!-0I0lQX92V#ura=g39!i(e zn;g|7iNhNB@9#)wZ$_)LD`(leLm5|IhXph_SF+`$_Lcx}v%OXA+Z3o&yzrQ90Eb5$ zCB)MHuI_mew4s6SymSsTdbU653LmRP z=O#M}gnhaz*2?f~fl!<%sWzhqRiOPU7@bmv>q}okg~H;60cIfQX6iA&)QILtD=zM= z#V$%lc>%y?CznLnesZ?-gSGwXf%2ks8NKBQwk?I58}b2y%x11{ZpFn*mt%Ep&Cl%N zq&8`s)6>&VXIG7wNmO3wWXwD6=~{I)C$%GO&CE0M9Z&xKjrZ8@S;s;mJ!9aU|&UtVv~C_-qD! zj1XDv8s#738D}=ct6p4BQj&DguSN%e;=FYEviIEfgP@XDUNc|i`PO`JUp;rNbz^{# z#x+~&1gFX)QPLb8b+>I5j}ZQdqpE)yS^_3xNqd7i{drbRjeB2KI6LxB@s#FLS_ zMSW-9^yfVEr<+u4%3dd)VG-Y)Ig)(VMh|03U~?Rq!;c){VS>t3+<+d)TR@~-yd~!O zNxkaCUQEyIkSBO4zLZb%(dl?bL-|U*l^o8DrlD*;DoFVU>i|pulMJlQahHj*b7(rU z$~KyGQwoYV`2ZhT()DLn@tWs)WGOwtw4C&V zA39Q&qnYI@cKqcse^cQBzUUbC38J6K0y974TzW`4jV(V6-i7kahhcT%oNp;tr3=U; zuaYDArQDqkpL%V^(B52(c232_&?yZ}=3}P57&DE9XpA-lDAi}|He*kEmgA(5LyjLi z5Rl^h-9zDovB`$_bko`Mf)6v8d`u&bcuRXY_BuxbP`PivEgeibTl>4w5};(3+3aMn zFZQ}GP~GgwZD0Q2B>OcdCZ_y(O2AHMuNhabKOL8^eWa?J*M`tZ`v5^@+;ta`dK^a;F;s?Qr2 z;2ab991_UlbIrWfj>&URGq0ZEmdUoIx~#4?$`81MxG_Fm2Q0u7#{N43L#)uON~I|D?_+{G{CcWj3qwcST7qYOnSq^E^UctJ}QG zxNJvS<;s6~ehETz+!ft(-+a8`Z71W=w=Bm)Z(526-?$w2J-is_WPjr9Ow2D&#O%CA zY65SKNmY~p=?F6pW?Wdi_VbPofF z7tPCYKhmqo6cNma@sOi%d;lnB5tI*wp%Ob%cvrX9;sX~i#$(T36VPKs3uPK~2p$zU zaS?WMLn%%*1i&XW3S()SJXij#PEo+Fcu$}^K01b7fyYaiZ^Tp2JQsZbJV$&Thh<+T zOX@Tn_HNPu8Oc%bhU`zAI_)#fRMc2qT~%2Q@ZrI&ZS!E2Sr`!${SJ}_quJpTeyIrTs%uf6Y1gwa&(v3;+x-9l9G`(m zrF`tpeF-mFrmR&wNN;hoyDoIz`q4cP_)74aL3(+yQ+e)FXvGkq$d}ubBgislITP@t zlO07FH}T1X?@5{YkUeI)1Y8mSI`U}$${F5m^yA1%TtuUE-0@cy$4FiZmM+*gZ>SSp zVX*Q?R%ySqD<5B^e0tds{!kW$&*IQ3vpj$_zzrY=t}tH$A9I$NIFq+*AD|A=iPW9X zeFSWJHl@t0BwuLnWC@WWy!9Dra+Njug$}m6>~4<=%bhH;)02_PV@cWoRB5qN0{|`n zne@popwhfhx;cxVvtv2v0$8f9t;fj=gJn+d7;#>hVFk3*#vAfil~rDy{-J=L5+B{4 zi;*L~0K|(c0*<`JE=k#McVbfm{``UAQwwmKK#Wro*gxtw&zZO|&tZ}BWKhi{1ly!ITR9I+r>NP+!trnI z+>F)rE6JB*rXn|hJ|;Ra^iTWZ4WJTPD-%rQk1OTYMSY^~RmVH>$Mz%Y9Cx;eF(b!4 zAg=6{q@J;ZvhGqAZvnbuif8d;YV?n@voSHvZ0Dr+O9B8o3e!^O&*~vZDtX3Jc9wq` z&$^S0(lY40%@jM&a7vy4o8Agg?eFw#rvRjnSdu~h-S4?wC@kRBvyTy|C$-?N@-FBT!ENB&h1i%OOa9^nt3 zm3ne}RvcZje5K#QVtwZ%st8WDC-Si-m>SV2 zMI&?bSrx2~LOMeQu-vH9WTbEbbJ*qbTPhl^Fx)c$c!V9;%dQ9&cKC&Po{6GvvYu=_ zLQvcUhn*{%+ws$nKNmmozGvdnCC5)?#X6JkFe)^I_$@Fk}#|Jiv*Lv{;)XJfznTIB!$;xmOio zl82I4?)^i4D;~*^Um6hx&!YnAlanJcB?CW-K%(4zFP=l(XPh6q1Rs(Y`Ievs6YrJ?(=(jAdgbb+xVd^=;G!BFRlK#b?Mo}u>s=j%D63KSikI$%=C ze|D}4?{0+O>RE0H61c}d?ND*q5O0>Vlr`IXf|W51x@zbR-8)TXhWwOHG23k=uNk?$ z9XGLbn)%4`It#Q#UCK->_wdB~xhS9b;SR@t)M2(!D0v6K$@l`OyW?Mu(Z7t7K*<A-Qz zCQIOD|E6C;l}=^ml9^UOF!IP-_N;0FsIy*@7+7-fK6_2uil^CMODFSU5ijT%tjVpd z_;y=u_pw`?2g;X=oJPt%EsVM?M82&b=rqw6;0~pgOY6NQ_%hqcea>JiKi~p|b)z6G zeWvk3E_oYtD$ICY;FXhG*cwpRfM>j}xM~SJ1v;6HS4NaS@kBbnTLmPi}W&& ze6MhT<*sWdcXjZ9%>vTd=1^AQD0cyvxcMbD+F~`}V?cyK-=tkn7o=WDS%6Q;u+*h~ z?BnB$k+^erw7c7hjn$o4xv>#9uC2zkt2bgrqr#1i)!5!$k5*?>BaAJ@yc^>adjgh6 z0;D6ce0DU>-CvJ~-ZU3)c*lu&^SjQ*8{ct09(?1eIRD^6oH#cX%cmz}a&9yxW=5he zFxr?Jj>d#QDd$20NSU?hb{sMi2r9I^Ih`|XS@NDAlpLL^6g;KHuLQ#&R&EGgM-{iR zyC;yj6*sRn4af+OT6e@U2x9*m+9hq?u3VUzhzBp6icfsUqwz^^f1^PsdqTUFAu8ce zlElo5IjXzZ*xHU~o_WrnqGUwE5(1qH)A&=99NIpt2G=y$^fzV&E~)hSg#~{ijF?wf z)}ke4b?=$wxNv4kU{eC_hC`Q6=Qb33n08W#phk)*>Nk(j=Dd<+VDUgoSAvQ0TndM(7%TT$SW%Isw_@rc}0Lam#^pY%4cr>+o-)jz|MP(jx{GI7ybcQZ71A&aoUGrVS-HgD3-F z5o6HCOpoI!9dPQd{eyNiJKL6v;SpZq5a3mufIYz>8C@w4fkeCzIW;jM8L!EH#4oC> zudc=QYgeW7pN$*Wuf`VocUQnh9sHrdCP0%VVn73X?viWBEiYP;7mlXm#ldP@0DJey zi?8G(`ABD<+XUb*@&Oe*cRXfz|uCv>DNX;MdfHdfQvzx^1;@V zG4%nQ3(a0f?9qqlLI&ahE6RoZ0*-i2(3O4?xB=RzcLoo%N7XNr7<#6yQ)VV>c)^A= z(|_(0C0^vgX;4SvtumEM)f~fAlT4}K1tbFQnBn9j9Xn0-&q`(lTsOD2Y*8a}f{V9v*re#%CA>InJu=FJ2KQY0L%o629mm`9k?xsR~)zH!Jg#W{L?_j zgCWJ^7v7{Va;8&;d+CKVl4bpQ_SQUMW;g3U&C8R~k-7PWKVRLO{_r3AgVo)g>3hHb zJL9RRpHkt~=wsQy>r|I_Hs? zoo>X#_nnJ3KJs8Z^5Fe(|Gj6`80%`NI}#R+N);Y~E5todzA9dFO2wn>7w6|}muH#P zEXd@G25+T{;7YmsKxzppBdQ$%(2eyC+FYDioL9sV&tAN)(OixMQCa{-zI)Eh&-l1J zjO3oEPFv|KPL|F`rN}utrmcJkkD`-<7ucDVka($Is!1tI*;91odSvuS4Vbs)#UnZZ z^D4XjE-BtG_<}EtM<0E(viQY8uDiy7D+VQkUCU>~tbFIeo!AA#SCfS<;m-j=W0?8nk`>=X`GUbUgF}Kl5*t zH#nmFd+)09M#B=wBFpBZuI>QE6wl(Qvjec(L4~0n9bSIBd#@7~_|U+yMbzsb%q1c>rwf9kj$}@=E8HX%lyk zsDsRJE>#LVAQ1+;DMRR0>{xOqc6pO;;?z|jl7R}VNNjx?Bdu_L_jmmimZV)Q0O(8cdHuTj^L$SLLS782s^{G5(aRJ5O8erI%ajd( zi9BJ4yJgw+pWqdH>J2c7otWWgR?v_i(kp-!|7CWQ{t#eZ;wh6%)CYi)EBow8KL<9< zme$;K$eUlt6}X~Qr0JPF@fx{9O3`_W&azBCNWgRM|fLB}ed{C*@BlN%d`F%^6nwJ|)YVJsGF;u?;>JC0@@qGhjW(fZ zed0{=$yu?zS3#5xVag-`jBx%XpT5VxjNe(I-evm1GA~8BUKBTxFPu6f95+c4&!eyZ z`fu>{?!o4JzayS~?kQyy!9cM|8F1xj3Eiu_0-+d$BEcwTe~%H*o&XEq{$^i+Q1%{2 z@-RYd$CkhuXNs+DuElO^M+!~A^hgbR_#hgSDp>6xCgw)t)cIL~(Aii%I~B9bwU}M1 z35?cadSOiW^;kGP6-#HP#m(#V+MEDfy0gB>GFrsElHZf|Xir%i$F9Ch;Y z(Y2dv5?X~(UMU+(;iFROb(Q;w1Knju9Wv`F4#emofLdTvmK}r)unFpB%Ci12FwYxWS-|ypO3vtE*w4RPqHH zDJg|?D#{C;phv?REV3uf`;Z-{%CA3C#DC$10g=Ml&Nh}N=MlfoVJ4tF`l<2nSuU`^gRi~+0ST3lE>cCh*0 z_kD|VLVhSBy!IR9Xm|>yIw8aE2=Is>)rGXI%S8UEQ+H7MqbNzVLm9cjPsE6&Xbune zteZN$`gjfQ>b~MJ@eQE^#XqN^9A=Ubl4ck+ZJ05pd+07m{?NY7-JJn+ke249HMKtkadWRqv&WLA_ny4fax4m~{N zMH6+jhdc5QUjfjQlAWf?KN&~u)6w2gyv&%Q&jd{Ol<#5b{6=FUCdMYB#v$>{z^Y>d zZ0@z2(H`E7*4SFKhSrozfm!oOI#~eNGt@FULzOde@ME{NA>ElD_y8pGraZG(07`gU zW|DI+zsfIrA0p3ep4XdLPau=- z5YNo|F>{9u6tG79X1!(omUy!*CLpB`1P{>fIS%oaJ~rjKXRzBB&;UTvPbNU6KTE&` zC}o+xQJ;`IGpgdhm*xw2W%gTjB|yij3@CXzrb?H5 zRe9@CwrkumNtF+0M*qqfI0umF1MH2Daw|aAYj0N5Kw7zM*bdm}b?x1yzyCykrYWQYAPQY@V#jYxx;Q;oofIx#e+QFC4S(zTH?7U zG1b@TzQK0Zm6W)IWlZ;D5->psn*%BA_MS5=BcRzn@~jbcsJ1A9r(O~8jHi^(WSPJs zeo@YBepHD17r`fHH9zp!&&G|7HOX={;*>oG#nByw>N$hS4KQM*AydWU5h{MtMyAA* zOWPnyu5|8R=9U3$qV%LXRR1}%Nyi5O^2oi!Bw)bOA^YQKZ$4X)@Scq6$$|4HL%zD@ zpi{1{_T&)qQ@Vj?A$CClcXJ*KhAPFco> z^Gq42Q+P%ln78~X5?D-#vK&qO1spLOII50;{fl%S$rCeLY0+`0V-XMgJExQ_;w>_m zU=vwLH&$g@e&ag7#ZH;B4iju9QAUIenIp;4NgXJz+=q|w;16IS0D?e$zrDf_9X)9r z48_Fwg7X0|RaHA5N4z5Lv=pJ@A5t07Q$FFqNvnKOS6nTXeKHzD4@7%MVWjWiJ9{Db z4_X>@%NK8g3vAZKBiaFP=O3^N$CrmjccMME6??-?@lE=6Y$|GF)81$2n8>THK9HRm zIq}Ia`-`L3T0p zd!>)WA8t@_=i~tTN6Wg5iFoCoI^mwl7{Vd9OgOPul$p@7Pn0?!2go_UJVPbV-mX*W z5aj{&0UdVkFKvRH4eb#|Ghkcf3n^Ii60ysOE zgJ{WcZSTr7_XRq63$7D8+Zs8_GD_7##OIPFR=dQ$)PhW~>FJ6rst1AMsTLPj2wTHS6@5Io=e$1Y%#n}hv;`}4? zapvLKIP>USoO|_f}3 zaArEjr`1p-u1SJVqtE|^{^-2@aaRbUBW5_aF`qE0T+<; zzWnJb<4&2nV>!vL(2)435u@@{MpP0p|FSo(l4?EngnB?PPK8T!qL&0VZ*Hu5PY&A= zQW>P_DWkq;$xMQc1RTC%2k`J{96REXk((;q_Xal_4&@6$%tA3V!ViEG;Df-)N~CT; zaZsnog8t;heomxfR1YXxS3TKs6v(j@rmhK0G7naO%7fdbjoQD$kjqjg117EjSn`yK zDXrXr$I-9&qkVJr9ef~&^Ohh7$i~SG<+wCnfCEq)w7O%cmaZhP-L!3vmuP3Dna~lz zv&>1>om`cFfq%7k@^0`0PnBmnUU*A*^NcuTPrKx=CnwAz;f74HtVu_7V7&t4(i=bM z1L`S(kL9bl%gr}3Zr5(#k_X9!L+UMxQ?aygPWtt9 z)N7m?!rnT*BE(zr6EQy}_nGstICCauCzoQPJ|$pOS6b>D0iYwb80U*Y%#iAj)q+lk z^E9;^7_Hb5OIP4C?lK+cbu&}I^g?5Rv`0A#ym8S$}L z$_HTG`zB>L{)%#zeU_d*rms~RF1zajUdYaTqMc-$D*7F;ieZm@u2^AUKW*2nF>&8t zA3oQVnR#Ihj+J65ygs1;6~}P-$UoUJE6j^b44CAOgMr z+B0lYNVgbf+A2fNkfhuvk)2HLJs@G+QG_VEoJnPAe|M)7+uM9GMrMmME_Zw|J0Ngv zZ8J8uw!GZmZ12Rb6vIYyBX%^ZU)f%b8#326Z^pH)8*zQ>dR*SP8dqg@4!1pvI=R@0 ziG^C!=f+}I_cIHVF*83Ar_L<-`{rW;pyRa>gJcdlo}Ha>B_}VlLd$Uulx2Jz#g)9} z8?}^+x6=7U+SKG^EG;fLzZb9GG)Sb8*5qeOX^htd7^G}@iKruf*VRx)#WOxV$vLHa zG)|?r3n~!*;Q0;%0dMBaIyQrK$;Ql0rAYj%N9tHsU-0>Znaw*=#VBSA-~ZUp#>H!w zbK8Ryhxv*Zl$(^P6`SrY)v6mPJ8;>^pbF_IWCr@g-1`@jBm$b+a@$#I1cykUFiu{vq zmAKuqv#`9&j@ch|^HCpSfOV+BlK3EZe3xLX5};Hkbe&~pN#LW|8IHBqLF}lVRGh-2 z?;z474a=v@^3qa#-f{2Q{Mmn9@rryUzZmz4i!#)a@+cRMh@TQ8X1UvYC@p`bY{aD$9LK(8iv3>X8DeQ3H-lJ)76z_aR`@^}0Fj>YS6cKZ zEOQSJF^eL8sQoZw?Ux>-p6)DnkMOC)hWNsP?{xvi3rdUG84X~@CGRysw2h5U#hbONH%ISQEyC3hc?VpW_CHIh`QjV77q31XeDMP z;o+E2Ewe%_vjd8~?5JXy>&h~~lCm+dOMRXb0g!+7^VSDG#csz*8*8iTOLk&QeF)3u zE(@SUeFZ>`=K?-&Z&O{;JXYTQKV zN75{MvJhzi=*pR$w4?s~;?6S@EAZCxD3b#M>H#^-{iGPcq?eW@%M5%t&Z)Z!MY&~9 z9?KxugTJcXWE)nS5qKp|=T%{ODF^xGKEWh=HS@rG06eUuT@>u(_9|JY&*z+S-Xmda z0Q$p>b~~coNWN9BJZ&d=Py5a`p7Akh2w>zWDQ_{THw-xWR4B8V9LvPk8h|MLFyAng zmCW=J&oj#>3|8+%uXq{#`+n%Z#&egSMHT2NjZ{h{B6%$Y)00#W^*%|Ufx$nJtAdWm$I8u+EW65b3;*^IgIhC!)Ppw#{B8&ICbxGOfA&C+`lCy z-a)|&6fir)2KanaQA$@zi-tjtd6SKog=kcpN}IRW=jLWK`ks#`pSz^|s51~>0hN>E zL(%Z){?K70_uh*-CI!a}PZIs;NMO}x$BxPjuh{mmy(9jKC%F`)RL!fZ!BU@S@rr18 zZp8BP`2w4dJaT+sGZh(-rcV-Gt^VnwbnmzAg-Bc4a8h-1dlWB9FXb7fbQm{oUW*Sr z_WoF1U-7_)FIN$gaufwx3}I+tDxvOG9~cyjt}HRyPO@QO>39g23a(pa_*F=GbXXde z6)$Z~aXmKq`{;F#qgUd17Q6G{uP$=<~F{&1|SeQwg`<)wtdJ3NG^ zDE|_kLD}bh&gc35xahq<^RKEqN-p3eez0r^!AJOG-Gr42%P}tSxC|ibwQ+%-nr8yR zSj?cH6Aai?XYhy44bWoXCJTUEW4z%uUK4Oa-@!%$I{Ecm)PPO=V%H_=E9Hzq274s^ zMz-rU&(3U0Pqn3+#zrRuzP6Qz1Es;3@QAm zfF?7YjmetL%!CI2lhZLfGwUOCY7Ne99Ev?@!)9zrA2!89Bnf>d-l=`~?Rwd?TFgi` zl};|n0v0I?vsT;c1GctTrI*Y3r`bPJQfh?ugI;H5lbJpE_+-sytBl%z74Zxw*M%uw2q-k7vn)^?>|!I1RP;{TjI!|$7PaPldLbCFf%k64UGPonl z$WVuw&ppW-v%K(#@&YiW3^<0+MtVAdf8rR@Dy9JC=NV%ig&D^PP%@Lro>mUY*OkGO zzkDR){o6_-4a=U28NOA#g8ws1fKBo34)hBGo6lZ)+Kr|pmshethG>MCd?rus zj3h5+D!v^6VNJzIW-*NV?9zQs5SWJt(^*hy5 zv8Och^IDjk&hJRb7(KUi<@kb@I`M4@*_ss8&8@Y#v3WDDZ(ffpYnS8M>(9icmFME7 zo;TY7*bUFBuJ5eH#?D4;3D9z64*a5VH`}^br#(44Erl7evbkm6)um`B#{@QODvQA8 z=(qr?_`=)wpsWC{1;ScqTqGZ%H zQD=j8E#C9XKQ|tF=wapJcxY>TE8hQs_Y1^b_xYu3t1Gd#z7|`X>pmf%eAk#dw~|o4 ztE#T3JV=6(S2{EqD?SMvO2UH{d&}_8CoJ#i&?O}=`RK&skAEN@d*bI~TOAhd#3W^v zqv8aLPLB>5DObICB&$x=BQU_qkgg~=cZitM0_9I(sTa!Xk+J-FsgR{~uJX;Q4{t3p zvt3hXIXWz51MrYMP!8or`9YSY2xXX!Wk!aM-YvS~5B>;Jc$)bn4d)~kZxv%@W8)MA zX36uo+9AUhf?`kH08Ieb5&4(FA2IREfM!avJ}U(|BpKdm55-Nj!A%VUX_pDu<(I?> zC0@Yi0y^jC=Hd%K_gC2Mxahs_`{t?yJwBD$3-VNEi0Mq2$;cUR>P+_H2kojhR`W`S zw_T_L;lJZjJl3-|lovkAK{|1Kv|)E|@~0D108G{!9UB9ToRLfYM?N4T0=z088fdUA zZ~2rx$13rH5HsEh6gj~A&}RsuPmo{qh2=wWq;6+6hATQb!3BFs0f~pw+2~4MK%+On zp7Jy4fUNj!b2?%TF6eZT%c+SOR8XL2xmv$L+eZFlt!M%Cc*!$%H|&o_uGuz-$Lo-s)I+aLUN+aD)wZmbJTF}o&U zUcDQT_w1t~{8-26IqMl&MV?hx$cc>Go!pRbu2A-;BKak%0*nB*mOr%v^euo7 z0xXrZm;odnzW`)@C4j`>pLn?POgIer%Y0=VfJyd70#KO&m8(Ck$(A+zlq~|ia7^eh z3#}@Y;cHQ}Ex)L%fss78J=(wOj{Fgha+00|#2}hH!544;ksO*&`U7}+SzT9JpSLQh zXsl%T1z$gpNDcv;fJgdl+LCgC8~)^;Ul&pv=bp0jLNT-Msz=Tu#W0%*I0STZC_ei$ zhdpV9-ml_RCdh{c)@9Cu`&tocV5XOr9oL=c6@$(9{>Xoi%U7Op;hYn4#Eq_i4>Cel zN_MiV!5MdK5HQ`4Z{PL8!}Kg@R<1ioDz01EGO`0mIV%0SgC=5K6O8thtYddv_{WdZ zu1qdBNuJeqRQCp*1wiJWBT^u&qjCNWe05*!C|l{ceCR4KH~}!Zb~J)vZ>sM1+jMM< zymF>gy3&4H^1~Mo{Dyu@hJ%K6&;H1!I+7iYy0+C2)&-zew*@Mtyf#`}v9i4qH@0rX zmGvueY4uV(bK}`~_U1)BUyHToT5KQe#>W0`Y#ubDHrI%`<>^>FH5)UFlQBC#71N7T zQJTRk%<#$V6pgM*0}tB$IA~>UEq>rfe>AS$Scz-bZ^Y$m*Cnr4;+f|z#&ef0#^tNm zIEUvArGYG zv}tgN3r4Z`j7yX5G5}lbNV}wK0IBjS#i*;Zrt1KhB%lfLMrq5Pw(r?c`6CX}9veA| z8NjCUOuOC{=DD%ciFH5){HMsJ-6|})K!FuE<|q~x7UPRP?|8xH_x;qrbbhQWF#`U8 zDEQ6n$3FG#`UMaHzVZw_>Vi&Zf(}D%j?R>s706sh#;Q0|kBLia!=yzA2tZ@j8UW`` zO5sQof};f}nMWpgY<7u|b3i6wQ$}(H|45V1GPY%q8NPuJ@M4CVX!Zfm=5=syskR2`P0qG#ZN>pJO7LEJVaE{f-S10CM_6W`T8NqH z69Oa4QD+aPfM>qclWEbOy>C_D+4f&SgIC;m=lm^;V9KgPJ?r$}jpnfhNF)j3QU`cirV>*QJ1``()%T<e~G@a4s!;-4!- zoVfGMJ@InF1MfpPOjXV-R|2&Xhy7OJ$qUQeB_D*xFo5FaBft2kaLfoQnEOVSr5PB} z7Z9Fy0B_)L0z|Z-(otAm5JCsQx`Kaj_o}esAa4Lj+KfN>t#rv}&b-Qx^1$9o+&M5F zP|1rs?7bXgsT|#*{IXom61tBtk}<|Yx9SQ3f+;&j0_irCgJAio_*i&Jex~LZV^nF~ ziC!_-{NW$_A93}@b4sM@B%G)OtGX`=J+EottTV4`X19o-yNt?4_xR=B7p{cUy&v-# ztSVbK?#6m^CpKFcMrE?sBsvzSqa~KBSz;ZV|ZFd zfN*qrN`Q1W8uN28JUbPKjarP%NTDO7le69|yni^X^eLJ~u2K#FYx7V%E1%`UHQ$bx z@QMuxAWZno&-!J@3O2W-Bp-j`Lv)SeyZEV&i_vCBOooSScUarnj2kOA1V*p>+w`2- z#&QwMIJ-NWvCTFJ0n#g1uf&xrm*d*an{jhxRUlOW|N6DKbWQeGug2BuS7UYcW^4$M zZf;>#V`F0_*4Azal-`I<-EVHL%6?t-MjCt_WG8mE*W$+Yi}Cn}J`hhn`=slQm$>Mt z=p4BM=B$vFcMSG`&2*Pvb@tv6uFlLxc6O6ps;&Z30VBAJEU&7&V)RH|q0oHRs+3uc z7cOMV?2}1;5^SvqDZtdc*al z=REM7{c}oNc9uE$k{4gm9%D*lS_&`sY>xQEglk)EwFh-*3QQOSR02SRRh;C7`=!O@ z;|H5R{Y^@};t2&*n{vmZa`+rQ+2va`xPCdOLh=OI^g;1T3w_{|K%{dJ z20FY>XV?0UaySo)+d9$8lun*4Om(MCz5&_{j?jrJvCEF!fNyvK2cXGI7U&dKO!k!) z`%)c;1{jtd%Qj^OtfhR4G0F!=^c=)Y{X*1^PQ}hzGj>@fARm<#MHE zfZ1nUF2&n@X`8;dS_)5)DPY-9`d%tmzt8fy>^aWJvZ=7>4$5FWq_P#>QfAjR?cQ}> z@kHgsKc?h^`^MaYzh8eRDqwTy-uoWRSSotz$q!d|cc#Dojb9l*`Mw`=Msg+){U6s7QwQ;3SlZ2KNCR}i73OPx)e_K_NpIuij|xGyH~Ns_a&zC zi()5WhR4o#)dhQmRJTNnm4PZkPh1E9l_VPqERW>XsUR?P!Wl@W#GBU?{uE;3DPdE& z)7j&u%C`VXnB<0GZzY1~a*4mhVZMp3Llod@=l)`%L!krZ?@HrIDzd%Y=pff<&Rlpo^TH$Y}dO{5@S z_jP|OKIc8hwC8CC4p~J>x&xr0s$r|>uA5X0d%1*J z$uwIOO2<#!@S7zK&Nt7N-gB^8DD{HH9eSJMPrJU3^ zJ8i*v#ZBH)xw*q89fz+KkFFCHZ64f({Po%iyQu^8edS*>z9#R$= zL=xF(?~8X7Lp-q@>lQ@?f4te=JXId;4q#B-P!k&HG`#|#xU1P#x(h|?^3_L<;>>6* z&M41AQIG4J!|{QuyYZxCl-#%zbiHOf%ldF==i%W8ABlhR_5Z}r$3qAgfzYz$ffoT;X63~|h;}+RJtM%$v1;3~!Fh=KV>Z!XQ;{m9!t-Jk zGK7w%o@>zKlrs{Mn{glNt(GcYPAUDm zvffg95$ESWD;DdY94i-BW9{lnbTl~UyW~5&Yq6*NH^%k^4AenSFUHK${V{v;d`!*H z#0Uoyiw($l&dve~1TH1BX_~Rs+=$i9tFgI#Q^0svbu%e&x+oyiP`wD;wr)gwcLj9h z7mOw*mScYYWSl;8pUOTNYXZ4XUwnUDy!vyBpIJQdOkmgjjN0X&{;mI7@^R-`qgRVQ z{Mh@%Z|X1iX$KBAf5qZv_RTAvcb90#0|LZ zolTiwhI^=_(;q)Nhhuthv+0#JbUD2>azHypR~No;wUIvXv##*MKvGvPi_^AcU;OeJPp;;HOtL~h zl@3yZDd);Bb<9;lZ~MYG!b3cF;}R|3_h8g#W_^D<-FN>(zTP$1{Ab_#7vlYo{~u?@ zvvgDtmCr~P#YSVaDVdf%jg(A#S%*fe%pYYTZLfchMKQ?@KPH2w>Rv?uS;#Y|DmQ+! zgOX44hIle=bXK}o43&X7UK&(b)rA;_&=8?qi`{WY>NQaUQ4uvTqef*OtWsvyFGP7EfGO)jQ|hii@7fMK;MVd_*2nU#NqVu+6ZqOdTF4V{8gEdDfG9(3Lv( z%Z-xd)WOJsI;au0%1jAlE{JFKn3S%61RghaWhr}F zW>SL{21V^SzwoJXZuWCxXRW1y@>aBVRF0kP*j!zS=El{ijqV#P)Mrk{!K~U<7 zlr3b;eVqL7iNAn(;sWfk>`Xjm#?t;oq_IyU5z#l%N=Pf)b}n~wXgf27^w)$fd2;>; zue1sXWor~}ZVNK#UY?N&2*3$o#E!Vif%4>`09E`F7JmRePhil#tk)C=gQkrQhhxT* z{#Ut?`*5tUZb-ht75HmOZFi!%rFOQxrNW{4cqthD1%Q-JlgF|I?qz=sxQE#%t+;(G z5e*IOAm+L|5Rtdr$@&5vA%66)rX{aPI_nULubHvj#9 z`#bTWr+-=*syag%riJ~??1h+*Jp#o{5Q5`Rd#OY9@kGkJH?Q@O~aC)Nq03^9x2nJbJt(#%_Tbgwv^Z^}WLNJsJEQQ6LC#XLh;C=l{WY`x}0V{T~NCd+E9OmjCpv z`2aujE{QzBC(5XMRd4dJ;$ym{U6C~mUmOv;2y8j%h!5(^%~R?#JrYR&GWi0I!pPum zpi@PL+l=~+nmWx*jbzu`)k_|7BP{U%M7)%$47%YH)@4E3vTh34OfZ7XlYg#^@QH^o z_{l=%k_>(Uniwf?d8|u00j3Q$HGr5NpUF;oSR-W5B&tJE8{o5qJI!?g4V^Cw_A324q=MJt7A(*iKKVo+c&*>I9tFKjr~N%13q{>MUi& zVB5M>X|TU=e0Vx$8%t3iZ3w6djH!N^ahEo9QtZ!b05)CssSl`2X2bJ{qCL-Sw)Qrn zb+BWwiR^9*?A_eHBCy%C+%(z$SmlYYvblp)Tz(1610M07hT+jXv~RFU9qk`*92;`W zax}9?HFxF`LG!}j@fW{nTeFiV40aBWTHac)vzz*ww$P}}JH8?1V`OA6&M*DaxUle^ zIP8o%K3){s-rSD$>(^uF$}=&d^d>mVcxov|CTC+juelv&%6lkOnXJ1y&9^l#^MriKx|C>SRsnAhvhc z;?j)|#f{CU1m4>&r+zG-{C(Y5yjT6y@q*32^Y?#m+_-)vmgmmKya4#p!r53}Jg4$Z zA*F7Yhzh;S)nJfUtg$DQT36 z9_;W#9PrtbFF+C? z3)p1#6T&ZiU?!8L^91C3mNVL{`(fp)8VbFR65t9{p3vMPFQ!xk`(`?cK5 zc;4%W^TsBv3GW@U9O1UO=e*_+41WAJ`o?IL^w)_Wqq(!$w)aPE|K4`nzmJi-}L^XF=^RcKq4SEQj+!5nUnA=jvK zU&=*7QI0BDRx~waY^5#@(r4k4K7G}Fwt1pKkX}spHgyF*?`Jg?6)wJ>b&{8CsB^U_-6R z-i=&a845P4SH(A`2&}YM>(W)nSvnT_?A;`T(YMkGuSo;veLyNan|qB5_~Be^!4Ki8 z@mcSpizW#DQth=Byt_xJmsY>}C||brUA+$Y!m#c-<>PWC3)$W}p0`662n`|Rhd~Tg zy{^(L4SpN_Vf&?D_+{SQ-tq50_1}|zmuK<9(VxmwD30#bTygyQQ-9P2{7~FefvL}K zJtW{GOZYVo!|8~_JSPofwbI9KEZJ-6ur+oMzEygLQg3J&>jzzk?(#J8=1>Q9&V_Z} znP>G_-MDPi^Rx7RJEg`I=I$Ms3K3$hM2$<=KRKy>Ns~u9E6C?6_P=%zD8A^wrUJ+- z1Ia7sq|qeR*VlgWMVlpXZ&cFy=N!_yM<>0<^)SY#>p=D!;>M{b_MG-G<-ueu4;6pP3-`L>f5qzv ztziO|d42%^bco$&0!q{CdFttRdOQT5J>KqLr_Kk+4)>i8(rE9v4VGFbfc~W(io`2C ze!R=hILO^mxaIXxHd=S9qUCkJ^G^A(V`pOo?!aCPHeHk!kXbxX|5KL?vN3O+c6H6q zV%i9D>VQ4$JuT>=w-H0A@c9?zQf+%>7z3CmRYB>^FsrV%1^@~=1)$r|EbRfeEta{!qblz_QK-IH8Pd7jBt1gr1vU4QyTGd0+N7C z(>ATHNBFa6%=b4NwC7!c$Xo~X6@B*18(i!`_wMoriMT*$xxI4&*qjQ6rAZxCrlqTCB$1f(p$_ft-3RSg z{^37PYPWU#<|qFjWJ11HWgFQJOz9QPiy?3-LmCRP72M0COy#j_mp>bMPT9$g@>VyZ zQ-V#T9llW}d8RzE4#=5GN^qrpAimPwa_J4Mv5EMPOpF5ZpaPmp_O<(=iCCxfm4lb-G?*1+=)SH4GU_u9Sf?{C|icgiQf=i{?BqH=dC!q#YyurBg&?x3KeHTOw$k(3R`T8!nQJHRII zv$;Ngtrsj$li5+5Oi!|K#HkO?leAPWUF*2!{4?+WSGNu}Kk&Q%Lwo!2pSJ0OJkJl? z@!6Aha`w0#9>3F$PaXjh@d;w9J#v4kx+bJLB*4cs7i5#Se6uj%WA0&G0$zjKhrT zznAsG5by?_arL+>$**{S=Ki4QzAM0Mml#=Ee5(4rcr7gj4ADuzZGFLLmYo#^<`5fAz`vz=sU0@UsxFyd$9OoDh zU9NF?SALVma87*2#aTbwBjvehXA24}g*v^L0c};`-t=s$8_~DA4v;e)t*Cyf{4h`G zlFxNk)`DIuSLon6aRhkqe(*=Y#9=g=KsQZaLC0Mz5&*L5mr<(XnqQTFp(T`b!u zy*`f}#@2eIM-o{Gt_9QfsMuI`3V=Q9)!-5wti%?XhtOoagmHT#M_(LrB{a6tcvpy5 zp6SOg@l=}XX29mw4{+YisE0sv{PbDCCdLap>YTT&>`QzKz&e>9wW}p)qTY}>_VCQ@ zg__RWDk8bNeWyLV`+B=W9k;P&g<)Iv>^D0<24sQOYVj&r~wYpJfi7cfAaFsMmQ;y>17Jz$@Sn z;Nw|dz8r`CW4Ae5hx*+3JOq)_)YB+E0zV*op9K`-`umI?4(X*qM_kt7hOx|vCDbv` z-B}(4V^tpQ#q2$Y)vM?;-+661ySuvy=e4woU*w_j-q=R2eQ)PedS!_tWgZr#PR9mh z#|F}x&uO#}&fe2G{MPxAmpRU}fYV08g@DuDEYN)$UT#o-11vq`GTr1QHw(zr6~OGh zn!fu>f8__;9=7yb9q$@!jxSCqgcNQVQvbl$!9u-&`&YP)~` z6`beS+Wot)W**BOK`L&Kg1WnNr|oV7MC}CZQSvB{MbpYtBMHD#DWWtA650h3QFMM~2=!MzgV~!Z@eOlNFt|4rE>cy2HRE-Z zp@?Fm2%Z(NXT2LfJN$DN82Uv5dvbRH)b{EIU;{#ZXN%g2`GQH)G`~a>rM1xZ4dShM z0!)0#(eovUwkI^e+aA!Q>--kt=6*B+m=9ABvNZz!GqjZ+QVqRXv~UwC%uQY_bX3mH zYf@P)EMBM3IG+Z3E&!$i&np*h04(QI{7zI_o(n*8zHUGIH-4gh_v_yqns4JcJUnWj z_=Arp5B4aQ-pEj7qX2Wy1#}X8AQ;T+UXk z1D%x1+A%>r5oGAdi}?ug1zhwi-Bq1Y20Wt!0h?=pO^2kT6M`4hcKQ&;=-kf|I&9Rz zCec|uxYkJL@EQLs4|$?tl+VWFy$5~-MjA>Z&pR&D8{E?z!dM2Bi~86PlQ2J4A+8s- zXLCEln5%69*nDz2%ckydk+(yGO-1Lrms9?T=eoW2>MQM6fBB#C?)Hw~{KWq=yvQ^J z@=<^ip2VXxT`k}=u8-~>&>?lLK zezr1Jv)CS4Xn*YGjtxb2>Ohi(mr#TkdyKIGSJ(v_AoA1R`5C}!cHxj<>8N^Vx^^5y zulZ@W?Fb01L|Q}7>bri;mFWv2tKxSR^WDAoWDclr9VV0xZJ35jza$qMu6?CGhc192 zWlYg~~&AK3Fqy6Ojel7LGZ5|)~#Q)fi&mM)>>A+Z(k(BdBJ#Y=s1C~!* z7FTJn6`~n zcaE?gcZ!=+2mQ9XJ)s_^Xwq}gc#70%~g z7q7!t>n?2zG=1+6{wLpluz9w4Mxk;}gUV5cu^3ST(N(5phy`pDAq;?YYq#y}?gKRM zr8o4>od@mi-B&n2Y(PdDL`Q%@f!VsIstBTja&DQ% zQ6UL1Ym0zxG^MA`(&P|^e(F<|R<7&umtFeP3a>nA!~@EB=c=;Ajj_{!)?tN;f1JXu zs?Ylpe3TktR7HUz5xzb(HEfp?Ah?lU+Z}stozpsU;=aAN0@01oDlg@!i3lE49*101 z+yFld7SE%wCIlr`tkQ0tRoYA&$b3(XJ@IZjCsc6id{Zl|0iXtm28>qT<*9L*Kl3Aq z4A2}Z{{jS+U&u(0r}I7+Gn5!`ssjJ*ANi^FJ@37}eKrpd58B86;A2XHJBS+qNAU&6 zRouYO&)ofUFVH%5-icV*=Ypeg?s?bL7U zQ&Sew%;rz1ntYFyiXskNtY&tY}enqPokmRD2EYKq^X|4*wdvns-f^_EsCUwI% z`tyDMq{DJ6WiP@SpK-<0aQIFji^_4$1A-(New+%h$<01xWZRz2%hfhLUv1A$tO(D^ zSMf%yKvAd6Ez_8FE?U#P>c6&B|^ArEgO&-D>=rnJoZRTGr-@Phq~wvHk-P~DJIlA>S%4I zkN#0+EUQ^KggsVz4!yf5PB1A@cKaps?%Ynns0*vyclTs`NZux)(GqE$rp!u8f=}!) zzaM|!FNaUJd3^L!|6@Bkc{}n-J!qXC&`I5jT-1s4>jjNFz|`5Zc4Cj`6uyn0w6n?6 zb~Zi$n2d=@ogzPR;)4$8Dxa#QI^#A*)@jwaMBh0p$5KIj>OZ<@FLQPD*dy5Qb?#TGQwF_2e1lH>{L=G z{lbw$@4Nf%m%WW2=Ti%oohG0@)x6boB4y-C04lan7R4jwk)IhM5#^vRiktEkB0%^0 z`eu4IcfZ}k=m%3i|9L@9_ZW|<>ka}#h0T&IA$GH+{( z0=>Q0c4;LFMD6*!vkwpjgnBIiby&VY=p8ByS`iyt7!9`{a0BY<5ww6td126vedO@E zhJ=cS7%FI!uIeEbfC^MmE*Xg*hr?^z4gdl|)(OZ08o3UjPF&`%TG}d}`OV49mxQ96 zzDq$Glu(7yqkOVJ3xG!(>uq}zw+-L~ggO+T=>-nS55w^mu=M1Tb`=2gTOhRNT^8uE zz?x&()nyO~_nRL8yze;7LAHhBIAzPh&9f>rwf+Oe-(nXePb1 zCUwvgW5M-L{H>p9-}_y+2sRH6+Q&cs`{c3mE?k0AnRFwADnx>Gbl3`%cQxT1T^{6; zuwkx-4@aRdaH{OcZ;ylP#G@as^mY9S;}fBBzlZz7NGR~HZ6FK7Qa*Z!vZulwRF z8vt@YafRT=8cvwQP#gFW(-u$#G-_b$vU-c%gb5TP<8CV5-$ zj87{`*|ujh4Q*{F+oYd7 zpc_teGOV^JjbP%oBD4JTN>cqyI>mHD})N zz5vadTRmyBIm_G)K<38vD{cLP=cK!s&f3}GQ5zo}lDu=@w%QfEm|V=-@#LVL&5lyP z?A!UVb2oL4b1y9`(xBaN-fH*)Z{79)kU($0Ne~$wCVn15;~Wrk2G{_E%UkL`>kWC4 z9-{MMaS48vQ+7~^t9+DHmI0f;lyJ9seDu@*Q#&|*JJ;$*0KRq3Q18eCr6ceC;+3B( zb&=TV^cnnn1n7LH9iKjG69M&fjQpJTQy|WIlL!=R^6!OUPrDbL;FmIC3I^(Y;jn&j z%0&Sl>m+F5Q2x;YcjGo8P9ylb%e^z2I%#OE->VH8&-maDlu&KIx}6{!y( zl%Ex@A~n0|z3>{j6gn@Y?2w7A(QGLIGwcQRYYh&~@9*9#5DNHoo~Xm`dl-NWzi;kQ zi2y#=1)net17TeCHH=|cf@_Ux%q#|0z^jm=$5Mu|QMIc_5TFT78v;O-xqlVMYg^jL zv;;2W6$FtegvtZL!B2VzNiW7F2Gtgjt=%%Z0SYLC1=XZ|R>QYdKtc@#*h*C}D*(*A zRKVaUJ;nA;uD4A9Xl)EDU^d_6D>OkA=^4)paLZjq?4KD|Q;UB7b=n2g=Ghhgo?YhUWVpvU_(k{pJH*UlX)`DzsF+UF%FfvNgje$Dbqwq~)hApZaWYxY{( zII+U!IdRyd37guTEn2^8_G%utqlFt{OIxaH5*g0khlf_!buIk`K6_pSnnOM!NS<>p z-Ww0k6o1aruC5uM;j0YR@IPRT@?nKaz|vX4W`@zLXUix8TnLk4biWL9?S6|jjP7&O z)Zn@zI{IA{;VS(hl3bS!816lDSSFJOI%B!Y!K+MNFdv+q2;aeG4&%auJ)0x^>_PVk z;Bj%W(oUw=?b(@&Rfx~>tZq}DzC^r^tnE_IY;OWosb5^U zlybKOI3WLv3+g}s%E|zcvmlF96=1*wG@Sz|?co!6R<9oRQr_}Tkjp9Zkq_qHgEw^! zLzdc4yzd_p?smcE?|=G#Y0nSeBEOMR(FZx|Uv#3oh*lexf2hdN{l@BaAP*Z6I-eQ71IEah!~5P# zX}$#69@@~FD&Rh~&iA!v)3ES@xD2gL*G`(gN5wBdtUL@!l+40|D$nvt;OTQmHn-fT zcelO{DA?Q>ZMWS!V5+-O4$FC6(2Z{Yk=k#X5^X#B5#_xH3d z!hNgbU4zZH4nE(GCXdr9b7iVqJm>;GQ8HUNUfcS$rR!EHX#w9pFAXNKL^0H9Q!w&EQc za^9gsC>cseND9&(RspI)QIN<(DMD`K zpyK-K!vdhT#x(pIBe-A<&0l&XO*6@Jh6Y`_vjY~YKfBZ5kJREQ zK)ZZHDT#xxIs2cFVa4 zN)T*CSwN$;pLqYzwD0?_+XI`&M+fawpZX|yOwo*f$+PGl1<(pJ4ChECC)nh?0t3`T zp9M^kh3pCFGo@lUKp|4dJ46bf^i%$vE9cp)gE!-xHUa)@BW`x6`z|j}+tF;?&Mf$$ z!}u!B>WPxZGIBTIQWs!pS*iPgN)#gbN!V(@&|!SU zegEFW_On0#D<*eq#|J+B-;(E0LRl_e-Ov|CK|6}2n1;uks_fTMystTl%h~YUp|RMj zVtC#w7vCGq6{|J+V|v;@DiPkTV;4;;oF`p_yBH}7Yt$2?-C_9MddF!8+imH5ryafX1VnJvW+&4&J~(L?Gxs;7(j1Kf z?o4x;@-~78ehJ961KLpmuJ+T;5?AiJsAu9QXaN=uuWxNqaifR!>N~Z-`a*s>-NaA4 zI;1X*=_S+#hgx`xE~@{zm)HKtlV|y;#{R_nelcb8Hjj`0(XY3o(?^ks3J~DS;s5BB z*X9Mgp) zb&_$LX66YxbqxEdy)a#a$g9-Pp+Vl+U{MA|M}~?CBaky@bvE+xPUYZ8c=O^J{`=fC z1ya7dv4uSI+MkE-v*l61qxQ=3VZE`OIgX}nyoRZ=S%-1nq&c_%Xq-K)H7!PFl>gMt zNuzpa1*6iEdYrTdU-h4p&NzFTrf=Nh7WGS-1D>hK?EQ?}a{pKCe+QGU$JySct}pPJ zy*$M_oW*8di*cmuwfBB^8x0%afAjIK!RA+=f36*kAE#C8o?>qHEbyE!aIQ$yQ8DFw z=`|J907xBz6L|L3jMpw`(7?q|ln`Z&g;JwZl~yTocFMOh6hwixT}ZSA6YTxm-LdEM ze!IJWzumk0u-$Y1XTE1!L+^srEx_k4*Q53A7+PQ=g&oFcdkNBk1ckQ#a&IKhYB*R| zhBm@e@SFlB0AZmI<7h8R=6wpHd0&MZ<2sZYRr$%O3M4te zC0q)EMu9v@1Lx{aufpca``x{rcK6O+yLbOiyZ_*Bd+_jH`>`MXiT1`T-(3;k!f|kL z(Ei}VAI+krIOlLtPX|-lJ0b(g;EI(!JQQ?@A$?zJ_>#OuI^6q3$n-+sUJm0N)vU~? zA~ehrZslsZZNlS`g;)pQ1e>eN^L9EtY6nzObBu)`Gd+wXtnOIJ>C}50866xKXy^nQ zPQPAr9K%9j|4 zXK_(w`!WqnX@v&D<(Kq_L%p%wR=}HQ1IdG{3x6J=URr$`x_N_BC)NLR!KPXF&|V-q z-8ycc2GKpr?8Xv}Nx|lHsU6R$@bOSaxD0*DaUAI(*Er(6LyP|B|KYDy+_!Xm;1mC~ zIfkxsREH^tun{{4@5rOQmX~N&N+w5>jvoHUmMYZTzJj1l2;^^G;RF20eQhZo{*OI-d-*5ZICzxNxibd ztu3dtQ&jjwXx(AwWu`Wf=hz`q3HSzVM#qRL+F@R$&AI@B{G4F*ZrYoqez=+({^1cz zMLg!!-qD(WrhOZ2?6&i>QG4{IFSm=ci?%qXK|-TMJFo_zgxE|)n9at}HO*XR=frLh zk1^U4?&y)ji-IISQ|St8*hzWc2*9=BerX)@T0|$+5-&J))w#W!9s>C^^sx`xSm`#R z04sPNdBi@~_22o={v&|R&;EKlJb9eDNm?>=YbOixt9l1n^?HNDvw2d!sb2 zdHWgDlkv0m{Pdmd-+4s*N5@av`1B~eBnH?em`9h~1Cm0YI+A#dzZ#|5g3AE83jriF zgjYklMF%{^ucUR5>bb`ykEL20ki6hA&wE@$K4O0e_wu!A#-8Aui|ILawuMzb3~}@= z2Mwp}41433bEn;U)%bm$9#8Ilt_?Jw9+td{2fBR6^8je{u~_nIP1m_6)!8KcG^1CFec&2MquPvEz3W@VV~% z9-S)y0id>^R|jWdPm*eml@;g66#>?v5u}2J76D{HB`&?D!+nPAPzopY>-zJ6Lxfs$ zF>Q4WAXFuYBIr~E4Zp22jS-3ul`rPisocYLe)>}BR8EJ)R2pb8?m?;KmEHc`IM@@} z6)(oYEDwt65rrM@!*|k@#tdT^UO5<+aGVm~x|`JlM1T0N{%Cvc{&yvw+c*vmp0|&E z_#KB+9n(#N zL4&z$FVIOlm>sn<43s?|>WqyN0b~J9fr0Vc!)=RS{Zi)(bgG699s5jw{L6J28Z(N_ zNm%}?pq9tbY*_qPqfW;?kJT1?`!~=JpBdIN@baea9%k2anXEuQpiIcJ|5j;$(BC|$m7#E^tI~%hY-P1uo&OJ8oplkb< z-Rlj&&T1Q9uD97WdP%-gZjg0yO~j_&v?LP!r4TV~LDnDbdh%de4^4>-jf676b@`l@M z;@`rJq5}anJgxZc*|btalYK6~eW=nH-=J^W{%r8y8%R8Jq{}UGj3~q3=#6?M&7B^n zv#9&VqrEFYtDVyBNv{ndhYqFNo*R3W&;xWpzuGdt>u&kd?rXPPFe#DJt6a^WW=tOE zo;cL)dt2Y#PQP;6R?eyL7x3!RhBP*LYfGcm7UX4yj=N~5_93h?q@A+|I14u6p=C!o z*)icKKUW0u*kJ3wY#B3k*jzq@70G|zQ76hb0c)mukr%h#lj0Zl9)3fw`R@Auw}0g4 zqszB>eB{&rpZ4_m*SJ!rdOf3FR2`!1q{(`((;3O;^5jiJv#-?oV5dhb%^4yyc*U+U}?Ih-+Oj_*KMrndF^}iVSc11^GW#`UO7p_BrDWy2$hZY zNEqbi(Vv+=U6sq?je5K3G(KGR|4#W0m%tO0_(WLO3b^EvfPCFP2z>_JAs(>N_~*(iDdpe{nNpjI3T({zZRR&-Uo z6@PkrIFeVZD9;KvOsei^_fE@7cwC0yclNT?l5;+@J<}aPC;(JIYOiNDsLwF`u=ofA zWe-4~^BE&Zt2;F!nj`2#B_r_KQ;~;ilhr^eWHlW#(Ra5v30W(4~R*y0yRYm*0Q8VDs7Y_R-({P~@SZ&>-}lEbpaN z=kxCRv$**0L)li6KIh&^<38tHKxHt5-3Z=XUjmNoZE|}K%YZ#A^ESCWYKQZ)HjUA- zLWO7Up~7`FuH>IRLPOd-FA4kJ>vCSlKWD>uoyry7Bc{Y_SY_a$NKlu=o%mAGa}5Y_ zN{PKSnZJoK%5b6!gwXRYV`DK5H=uUp!oAhp5(D)?#zR`hm$djl=w&Jw!!YV_WrH9Q(EacMta@X`2t9P(uqp2fa7Zx_r4(b8-gm}94B7i0X&XK8k$YkPG{r`4%C0C3p3GU3LoZBut?n33)Z zv>C=>`d;ChvUA4NgL{61c_?$3IO-GU$l2p2{n$!$liSEWodY=S-TLLdcJ-77{xv{v z7}3fem|O45ArdY zLXPTTz%g_c=#*CLNaPh)nfIsO#6~83<<(1VqoXCx?L3_wwDIIH^E<~A0q8N<0UQuq zfxf|W8vr-GiPl+bHBVCQ5J*)|Wx2B3ma7-QNj~>;cd6&l#qP&2DM#v3Xjb#eW|R(_ zwW?#wj%d$R$Lc}VRb5#C(D2=#&pHj(;ig?qK9-(amgJq`45NR~f@`0pUgth>4C(ai z9(NBzfaIgDjl1~K>C~@>Va;>1W#*#R!4s1tQ`gFqJf|Sy#{6I;njIC77%vqgKcYO(k;5_}3`c~6*t-1t`+N~j)Lfj$%ljYf41%P98;b)Lcw zhGe(x*bBOQx82#jKdgkm-}ZLgoL&&>Q2brMs@pHU=n3_U5H3E#$M8(9|2553`p~K}qu0ZHb%O+>%E}1Xl=b3p@32XCr3zdb^^Wdl$ ze&`3@-(G)kdtmd~)2Ho2AN*hnO!m$kDmp=2FJx9E8ZECc(rBvpUgwJ}o>R%6xA|h; zX83g?w{vOgy?Q=?&%x!IG&P{9ScdpkmYwK5X{YB$?MR)+kClyIJV_bBsk6Fnm~_zx z0ZHELsuznw#iJTNaT*61#jo)V?*n2g4G&Gd&mF4w>~qtxcQ^Bw)lHsN!{-IqED&T2 z8X$W%Yf6lB&n$aUrvWT`NRRHu9{7`1-f^2}9{rrC!IBl@s^k{J}&yBUxF1>}D>8T9Z z1MT?idFg>2E;&0&Q1zIgK3{->&v2V()+hLZ?o4;UZ`FAPRF#49P93O|0megG4zbTK z-45=soh_atgQx9u@+5OR$K&Ue*;#;(^?WuVryLu%y@6?%VY_03vDYtm1jx_sa+ug~ z=;sEUS^shV2HNnfAMf?&b?h?teaofPF*sBpaa&j9UL_yW_-6OAJ?e4myf#_=c()SdSh)JU}l!*EJ;+TNgj86-PfhUpieqzdd|^E>18Uqy%@AUh<5v!64|T zonm|U?(u%3BLAl2U4zXpKlx1d)Cy-%vNA{t$&8e+B)lVJ4SEScbEE-un8t8;<4L@0 zs`PK~XNKUb7sYR|dp)CqbIzEBS21u8fk* zs-f!Y?dags1vTjb-P{fU-R-@gu7t-0gnGR#0DbW_q|LP*jK;7M9uTV02O?6kP)5Oy zy)wv>_(_drAMyD@Mo)Ok?D8dF#(V{iG$VUva*f;opC&0MfbKgF)qtz?Rat0rZ$X-(}tHr=;~~NNhu-i!9XY%D=D8# zQ}ya`n|tZ^y|j5x_~-}DBAEEpcdt!HqpHzD)|LmJaT$=YiT+!CD=91EEE-uE5tkL4 z2@dH~uIA^K!3p&XE%#MuBd+@4%UX6gil>C*T3%L<1~>AClR(I6CGu0+N-p+HBpA*Z z$cui}U(WUv8;>{gp=8n8h#Px0cLc{*Yw&laonTu}X6IB~7n#@9HzLk8XTNl{Aik`g zhu;q$zS4f_AK&h#?yg3cLowoE9sex*Vbs6}&gM}tXD_)NiN%ly384=woTWCR>}{-# zvJtb5Zp&@GS1&B@1@ded*GA#olmF4$Huscm%5`+x1d+E#Z&aFUY=?>FFd}8DOls6h zeN!*bxt?E~c~+d3@rtztNr_KZYP>qqEay0L8h+ za&Yc-S%E?2Ug6c5go7ukb8x8_bi<+7*jT3r;n0}$EYHv(cf2{CJk4U{WAMfqpmQ>P zPD9aclokUm+9?@~HAM#6o6r?quKG)-TznS0$zShSh`k=@dfCOE=hyRL8LDz%Ts_Y2 zUxl;0X-|At&q#{Ar9LSo%=3P4T%L8^zwbPJ*8yKoKXvU8caP6^c9?iCJ?2SUXFNJL z);~Et&2{gMG+qzs?CJHR$KCye2LqkPuRePpzTnp~CMoi3dv6~d?>)`mc)V+{`Ng+C z-40J5hoGLR-kRvg%axDPO@+-P0j0f|woWq4gTb((vk1CEbloYh2O_rHzEcX-;4vex++ptu&jm-lL<{P1Suo4B@)2X z&xr{>Me7cyyUNfZ_-)*-Ur53Tr5Dt>pnDH;-rF8l!}}Ga4FRa&b1UG}-cM2>YZge- zjU3(9#P;BFj8h2-fueJ%h#@jPO%@!zrx+3tzG{f{i%DK`{do zV;HLN`8&H?A;mpUY};4k{D9y_OOlQzfp2m^3&*bdcQbUvUddTwu3l@oPQ zS6~^iu|@{Jvz!;un49I=Y?*-b2SwiKm=Je~d)$&N(anGEb#HfKBu^ zz4iFZPwyzL!++-&l)Y=ee|^<1h&yxQJSWeUHWVkEv}MEZfmX{}62r+`Z+-52DeeH; zbdz7+uTw!tz#=`=Jm6a5k!obRxqR8~kO#jWw0s31xL9pxixq5vn|nhQ#vpOq(E`>7Ckf{W$=p?hJ{1XO&iM&B|0i( zc{IPS`1a7RK*0Cf9_@i)M(b{WL?aOpC+IZZ%yCYd1r!1p0)R}Hcgi<(tIP97iqQ|H zez|mseV(MJN^U#PH@%faY_EAhWAaG+Jqs zr862U&&barU~})z{p>$DCI07!2kps|x7*R-lQub{0+(hepHjKoQ|>}U<)rO%`oos< z+SE(zibLXVuI*QfEGfxbn_Q0BbF&=Nf{Ec%At z1mH`b?uNe7J4`V#K{;VJRH4cy1PVPh7;HT1X}C9M;2odE((0g>tE2aoT;~`4j9qrPA-B zJN55d9q$@!e(9Z0(ZYK&q^of(gV~u_!-;~H61E=Wm)jy(H|%$X0nA)DhbJN0Zg3S& zg()LtaG5DUwHMQ2c85Uit+2;)1^}H<-~pNTcmgm5rLzUhp^~-5U52oJ1~tax5H4U1pT zDez$dBfsIVPGe!UQh7F?m2aK?OIN~w-fFgD@OVbFq<>A?6DqL7?5&y4+2PMhq$=(g z=aT!-t2w;ad0z{IiiSAD;p*_Z$06gxm*}BNRGvn~X$xys8XBDSg z^B9R6w8Ng{E4+r@0-M)uAAQ|%bMI?=pH|xOw6)0s<4F`72*I5J-1~GyBWXlK$n%yC z9o@k|zvtCA+Ryx>+nuxd!O#46X6B-tzK6{e|vYg?LEBP zw)VE$XdC;Ct_b|5);HvH3J*`mC+*z|AH>7s)JdvR4)P_()fx06^#FR}h+0jxvhh+tE`C+%=#3X8L*J$DK`ve=E^9N- z6yDek(@X$y#k@`Cr*Uo`KV6))@$@J?p0jM6FNo6KS+5CryPYKXzM>-9eLuYVgy1WJ8XvMt&8zT-F>>FEIuuL?9PYyC-^ zG}&P&cs0)5dv}`~y??9Y-4CNb{&c<)0A1hWP`o9iEVR(NSP7y;3doG}V8~Eq(BT{- zE5?;k(b>C`p>^J?d{#U%1CPm^jBrkRZosFgr{mU9HCtReW?|FgDZ%4+yw zDBgLX&H;6^V7~)j8_~N5s9Q0uk+&53HG|Be zbP&owcD)eblp%K|yu()kR}_)}QDl-i800H}l(V2z<+Os(AlDGOy?|6=Dly?SE(L<2 zf@IT!C>Suj@#3r~e&D@7)b8)SHqi5(Kb}8(+J5gt|K6$o82Ul~ZXCDPKU{}L>L2{E zf>#gu@5Ay#zLGccC>V1AO#mwV>Hsw>+lkbQGmg+ngXbIg-&#Y*u8-Qm;-rnyKjSYt z)Oph>(4KN29nrUehCG+1(tn@DUzDKV7tPAI=kw-W^mk}T4RKicxzDD92o9ldQ)%`g z^$e%3xyR-veyhA16D2j}%3<`ZK8CM6po^;n1hzEt8F}AZby?VDkJl4 zIT2hb!;)jaw)}Wjb`KstY(M=EZx?L--e><`@TW#+%BBsr4XTT7hq#oh^TRB6fYAW+ zivYV`DX6#d-@N!tIoRtU6V>4hD!SOuq*{7ueJ!g;G;ql{kbn>Vz=4WkdW2-&5`v7~smmzp{i6o(!ybz~= zVCri0g*}zjPuJ8(*r9OE`iy$Zbp{K{(;U#`T7=q_#SRhAP7!l{w9~}ApSK_XkzXNy zw+l8u^ZDNc$Q>aQK}&CR*lUMkkzeJLv!b!=@?Kut)Q^O7PNnApl-8Zq};3kH)jZb~b<3&Sp3;$z*mCaD+m{7KI)wrSRUzc5I0+ zs@%N{z`7pB#zwb@gZ!CxO$D)suYi?6E@i^}{C>x$xF$Z`@X1hOjv} z=~rNSb~esC>9tOjCzkn|I$>F((SP?|TOa0=e)IAF7uY1>>yP`~4=Q51A$MLY%E;dayza8N)~gOyF{0j^nOV#Nv_rfi;i!SY;!LQzo42%Q2` zy`ZBSf*%$jRSzftbYJHx_*#%82=z0ZZrQZCw%yz$*cF-XBZnHM7ZkhIE@?eqETF|o znrn@+AXJ{(_{cDQ7%DHx12n@%=tR&EnBHRfgt5*u?z6Eo20`Vk-cJg=`2bi2oT!vk z0#@)2k!P-^{%yqqD6^S-!dQ_Tu3D>Bfc9>F{~Ld^-P?T?qHgCneEzik{)avoFp?ws zqJC&R%0<^SCdf5s^#`66aFU0mPyI+Q=MZ1_tE;d*F2j{G>}U;8w>oYoi|2q%bS^X) zPrXlkNvGngIEL#uefeHJFC&m=H}7?VNZ+fM8p|pZF{+js1LQf5^BV8hac(rffec6M z7zfe}Xa=EYVLZ0j%c z@{$jq4teA!&1$N2+4JcfOIee2;?P@sZIk9*%E~6?y}G>p;~ zqpkBnf-A&y;^11&ZU?Mh!JX_lBC!%Dyx!9L1aPPxKg<3qU~`8w;g4VfJ1x&lL+P8YF1+J; z9ZE>qLyJS`fX&{sX$60NEf6?M{OY0h!n!)Pg?Od`VYPLP4Okn}v8TzWy{&%l9XbSx zDhjDcKS8)v%gH}}odP4z?4a;4KCgT4FG&%+d4myz3T9-sOAhug{N zLG&UnAkg|j;K(()gSE#exmE-!o4PiriRG@!UI9({RHJ4BEWsN7@vO$HJ~gGH>KPtJ zX1%8{bt>U2PG4L1!7q4YujXXoFuUJpe*!>$*2c)KzBzBiRi4m-lrwEk2Wa;AS$;aG z^18}mNXva97!LK;L!g*4!FBA3523$rAr|6|hm-Y!c@nT%*0u54p_{J=ahRrg^r$rJ z=yt28WmxIF7#fiQdiXaV3D0%r{U_fQkMwnV4QCkR3U0|ejf0 zHl6nwddQ3S+Ibs~Uhm((|LyPD{Mxh6WW|^TzIuNKhFi+WMHxL;X3gND6|VCURYJ2^ z4AT%Q1S^_ShM{umeCAvT+7HrO(UjoQTS{2%i`OE3nQHy5$lZoVU|5xQ8N|$Ef@uy< zq!%<5XDvF?O=dOx?tG)m72@XSmoS`rBsjHqG!x;8%PeF_b1>>EynBOX4l4HwP(fvm zq&!jiVyw%sx+kbTq4t8h5`JfUH+z8!Kr;t)|6#k!_1!&N&iAVq)M0pgKvzao4uVg& z46#cc#S(CGu21<{S)%|NTmY!O0&d3QMA4&opF1n%pK{f5x3-NK1Ndo|Qj)?-EZUt#Fx3X(7q;0xZhI&#-RdthQW*ZqF8p zmfpG*PQD)GP^5-OV`94Ml8g47uj#0O^Q7gMDH*>yQU=lVd>TITE_t!64s`R!0|_;5 zpO@b}C!U@MNG_cuPQM)E0-^GweJN0~il-f9d}nQ|ZCpEFak-t%m#B0u+YAHfym6(G z)YQ@F?4ZMBPo6k;?B2sy+fV)6KQiH4JO1F0{^vHkJcY30p|((fFMaY`9rJK>$3~w$ zuvQ@9qx>28R6xso0@A2Zss{#pfc$-CSqu+IME+lpPT+#$cGi6NA#KajaQjC z-*GnAPE~m8<7y<}IQz^-@1`5E14?7>!!OH%pj!SYTjMk{)=`4y<#vDTFSV7E-F9&{ zNq%h@U-NuAjDA_CIe)&kB&s>4`C`_!+c^=h_7$6Zy+8-yVIMMfh~7rK@=K2u&O8bX zW;7};mM+@rhIIh^6sU!+TD|N}CX~+P#X_OIzL{D^xpUO+7k=XZ8adqN@wq?!C}8st zJ_&RRTzK|Z9|IvDgL67oUs12^sA&-DYL#(yNyW-{@6`pv;L_`9ICz;34DXd&Y($Mp zR2^Eb^oVQE15K62W%SN99WQ^I-68g|y9*3D=V5p?SP`fb>Wlc`0-NDMlqpx9eb)h9 z@{j94OjrKvy7V)TlHcexM|w7SFa2p~m=`=+HyXoY?g(r3HugAs*#68kt;@WYP61#C zojTu}C9#sa;~dI_H7;$zz(1Xb`BOfI>kE22uvdR`&AZBffph(sN1s&>r)3WdfQ>S( z{d?a5u=)7(Put@9G(^gD{V=Y;lE^&%Lj0&+e~73ON0pSLLh)A=B0 zDCcx`(vHs#GyiCH9jXDL4$HbYX^fwf$x%S6@mMKlNJyG75TS!~N*KpSZeC zrHKKt#pY1;<|Y8txj^X!t;I+8@4VXX-vxkjz6TKX+1~cO0-(+Tb$(r2C%?a|qXRd`fl zjZG?ZV##nk7b>`i^8HJ%{wKEzHV>XWYk%+`eupeUQwj%{8V}{cb#1;bUu;<5I9G4D z(=X740CHP^I)?}a>jeN3VgRN#E=p51Vo}oYN^rNndfB$uY1CXDw1e{#Dl_944#GKx zr#~0Q$u9wyg*v@5df`3>M?#1Dezsz@tYj#DNIQDQKhG6`Lhzx_sl+LhexH4f#00`d zi*zAlHNE83;IOA!uxaCv6bPF<$B+-h=v17pFg60y^1bvV{ZJ!7z?mQTs_xz7B|bc? zbn41{dvx1?$MTB{jYMpGE)cTL@<7GNkNIeAm$I|FvYD?3`JL=3Wndz&*T~c6Ra@Tz zFl}+(#O7>JrBjy4YIHY^CL+7{;9>i_KYP1i^UuEUv39ihI{N0^Mft!(z=kq}bKXQB zfNUa(-jhe-EHG4+qWRldezol^?zM~A zBCE&UgVni|=gvKqXOxq^yM~{s9IcNs&A_q|ASD5$PicX7=rJHke|}8F;rG$jcJ>-{ zI8obZ$A)ERA?Sv@fqBVajno00SKa=orc$j%4uV_(80lqb{<{6*PyI&#n{WPp^=zhW zmMp9d{4Xs6adm=>a;^NhUv{ph&U&qYq(|y>G96ptPk=DQRoex+z27Dch+#^aU>~_w z9b-D+}+*H=PZ*RznAlCyrwPK^eaQ(>Uh^+^Xd2t6rQtciBKqOH8t0`pk!Nz0F}+n zVGbZlr(x(VX?c*=s0>AJ0+jMcSQUx;Vl;`tESahBU0IqgTYhP&8Yda%CWhH}F-o{p z+(|>fWyn%-3Lv654*#h58sv@8QlEUo_+xN3HrHb)^F@sFDXpUu3f@s#N#p5hDqg=~ zsG(h4)s{>;dqGun=Z0D->umK4W&&C?vYbsg0Ijqu??Mmv3eW2y9g4@0WiQaI zfFJe(b@-k8-5vJ<-5*xMy9mjl(6tm|7b0C=I0TO}X6U_EoL`&+AmD>Mb55uWtpw-k zMYbXdZ=^-`cEwZytFXk${|t#JJKo`^uB(+=!*46?yI%opZod-UxsBua+4J`4-}-1a zZAL4pN;lfp@@5+?;rv|#POdSQGM)-A04X|Vg{F=G!g1LrQ_z`;5$E&ax^zpq`M*?E zUDessxV<5;qm_Mm(2mY0fX)sI3rLil3&eAkxb4AH&xa^E)JorS=-($v7qE$Fm5t8% zaJjd~J>XN1Rc`z(uLyqOh2>IzzJ?yBW}F>jjOI&iYh+orXLE~qs2~!#6+{7VL8dFw zudW4~PBSSziLUT7&N4ieZeZ|`7oY1qJV|SJ>X?6J919EuDBv-TQl7(_42wH=)A06o z<{kd_sHpEkGth~!OKpbd`7-5h4b-^-C|<{iuR|}+>!nqm;g(hxZF!x_15kSZ)%)$o zfBJTZ(Lepk54G9y6KuvL{IgP%ciMz3zEM7%e>@X_!J&X|iY$Dqa@fIU$=U{x@+zRJ zHdq!dn^y8Qv@Va~w>?aP19ZZLRoQP7fRp`z31_KLV*0V{m;b6C@Fn=EH$)`r3cWu)>Y z4f{Jgu{A`G&e}+-;m87?_QXO5nT1Qqb9&M6e`n*3c5mqc=mJ`aUx0sshkR&c;Ru$! zG-jdZrn}&!fFS%y?{D$lp?+mxC3{Ic(vpvdZ0`U#cWCHfgF)8;0#uZ-WU}magjIW0`2K=5JMo_09}r)V28Q?{nZMHh{E)nesF4itpuk?TIuViMQUW zcLkDt-uIM_uJXR8p}*dX+3C`Cx)Ue&)uB}BxG;Ksqsp6px)VzXHr>1YTOIEjY(ATO z34nD9fhvN8Rza?w5xZdv4U3vnf#urgG8`eG1ahu}7IGJYBTU|z*_taYunAhqsq(0v#uCIo95Po%DTuTHaNgTZ?XY|GaA_QEd1z1t zj(slZu*r4Yw4II*aYt=_>6}pB;hZO06}5hSRy{-Z2v~8W5|q7C6sS!6wV8bx^r5MP zD+Sl!IK-3h!e=GCtKaXo{e3r}ckbsMo&i9&1fPIV&YK&16u{aCG%MjT0a&gz`&6K!dT;-uvLMwf(J! zL&)#^@%Zth_HY09UvFdNG`YmV_c1aUBd4=mPudvSOm+Bi%Pbdb=rm5|djUi2eX)YJ zCp}*SqSCNIGQ(x=ocxG*s=!4@IScA`05%r@&BOE4c4GWWlepD4yr7>&YXP=0I!0ES zsUP*U?#sYwd^85C0{8IPctQXMQwU&BpMJCY+~>IKWh-?mV4mqH4aS%_?9w@(S=p_k zOO(%bD>ql7*U)RiNAB=KT}H2K2wfdjCj>WxK_b5RHIGG=ne%^LbC_fq&cvKN3py;r z{^X?KqkuSCYI){D9i5-^o=S@Bk&n{14S29mrN2i*!b)3Rolthq06ET*bMEyV-aDi| zCl7wzW{y70lsmwAem!ZIE7Nx8!QJ+gKlRTg@z#!y{q_gj)#wO1j$(Jry8KfylpWkj zWfx!q53*|jcFm3IYdVH}v}aH~w8y3Rul*FDScl4G`DHovP|vFZQT~=qZFb3HV|53R zQ@vH*$3_#0_EUeBbFcG~ctfMICO%*+_DpbDvX31d7Li4^#3R^r&tq+Mwxm+siN$)M zzz1}YPj9VDrZdZ<{7{Vq)SN}hDh4;3>(EN(Y&csMT||>I1KrjG1&WG)p*{7mv`DGBrnYxEAnNV;Y+#NWx~WTv4xF*VGf|xT~iw1UfrA$xx_3 zDxdM&9Hrw$U5_N8&qgbls;vz5q8&5>tPH^;TftPEaVLJB4WM%a_jmvHKZzV}^Z29B zf3zK+JcAdORqFyfX_Or@$A#a~i-EuDiP!3|dK6vaesBWOd7k0adtUV=cLCDdb-Lg2RnwQb2sfj$Tmu|#bKMw4r$mN zA@llBMXhU)USx;wXRQ9qQS9lM44Z2H#ds3{n>|na?-A0h#GWkC6m$25iC{9nbW;ZciEh9j1wqh43)J z44Dc4xE8#m!i|%OzQ<{#;6P=!6dxb?mGJAi?=_4bi9b*3=mId_GO#634P2ZI7i1z-WleBZc}*eF`*D$y1}x&pEUXx6tMJi0zNUw&X)_|#Mp;7-eY`n&pC!&+KS;E zaClHc<@nwQf3@x1BG`QN=$-bz{k#8_3h=Vc07v7?F#z)v$N3Uta|r+%^mF zIXia|SpiA6&9YMWx`WG`cX>v^g$HK&1?VpQ)vdaL`m*T(Hj(Wa6^(mR#uz{!US&~^ zD#B%`B2%C7FW@1SB?WY~^jTfhTNVB?Q0eJ0T#AJ08%^m)ex^yKNE;6@LD@0>B*pV9 z4Ah0gS8D|}EvL@kvj-&+8C9iIJ^bpr`U{8{dNwoXnj;k}*WSi>hR$+%_)UjT1ezM= z@<&TrfBacK{aI319BKttiHYw3Mt=4%lG1veIo< z$j)7JddnJR(a{~jsr;6ImP1;K0I)z$zZ{B8Jro=nMt#xF#`Y;r8!YhGiaxTob0EB2 z0^qp)(K^?1UGF7-ZM@(waq=vU1rtJ0`BBEO7HK>O_~NJZf;{oY)zvoEod#fB_FSbQ z3vCh{nxQ8tMu+WL!4|2)JkU0Gn|(pv^O!JxGhUu#l!pAv14n@jV^3K~B)^?*frE9_ zoz*wm>s#LwGwMi=JwEv~Ww*oFcIViIr!Xu0gonmsUADQglSaKGN!nd?w?>L;-kO~( z0?7cKA|mIiUsl@2$Sw06p5JQj=Ug2$)|H-df=}WN*c5!?Y-s%GkN#rfyv^gYg3aUS zxvpNevh`JB2fGKqQ}5=i4SeAO{08^p8a_HjAYhXF4nVy}KePktsQ-GM%_F(^P4O1s z^xCf*sn0e4lY8P+X6mSa+L#{JxGZlqEr_~#egyD*-cF`2DmtL{^}GBlW8v#@BI@E zbhzm#`$ISn@r{=~tbTjko~6Mu=HY0k9d7+l=3*ctR0on@`N})<=qmj?_wCu-ssP_~ zylb%eW5sJa%IG8=~kX;;Y8@AOd6OBrIR@oq~;)5sH)pMJ)dE8F`zTitfb0O zQEY(^jMq>6;Xmq`g#FWRE^m%vroQkOAwu9lvVwd0sGcJn&kbfzQN@LjHK16)UMXZq zJQc1&ux0G(K|m;qY75CNnLGzT;{4wGWOl~6_Mr2#ZW?2i-bG42>p-)5PYDNj%@CEq z)=J)U3c`z?PkTi@lOV*Fag;axYe=Kf_V6{N+KApoM*`5=hUsqRhq?{Z7T~k?0o{x- zXjF2}19k5>dpj3%+yc6&u)_y<6`%kwt8l@G;anWkmAu|_|8~LVlgE$S2mjq~)MpqY ze|!Ekjzy1jRg3RD8!`u6Vh|?qR**ThXWI%$&`rf|Wg@^#?rX$`MUbB(gR zx3u1NmhBC4-?@hDt^oNMKWMg5mda3G86U3BN6WdfP(o4RXH|pq(BL=*4 zM9Vm}|CXW5yC)XqV?L!h-}EOwJ0<3Gdtyqj%tQEL`p{-f_H4S-g=NkLgoj|%M>DaBXQ{8UURcoI%|HggoLxcve#03>XvnG zaVN+zDbuSuZU6wuOT|%g3F*9p|LfH;;B==A&iR0dqkp&p2nC`9p8=rOo1EYGBe(x; z^w0h2$J)u6pQV0LhU94hysitLt7PRqQZ~N%*ru}s>S^5( z^}`u<&k;!TqwZG2rRqQRu6hfV|F=4KnODVo}(5zD-TIIl~XaS9_!&NXy&#+8U*b{Jm5 z)W7e-Y>c$|N^o2^*r{AC2!=sUH${ura)7|ew_w#do340wKQIAh8DbUjGC(umg{K0a z0yM`nw`1~Cdee0C3tUlU94!qDb|%?p*xl8V2uz({#>iXg3p|O}p?QbotzZQgspjng zH4iE|0aY?raJm`&jvLVfKJVUn*zVtbwLQ4^T0m%R!6f(`Hle2yvQnaICV#ZR7S~h+ z80sl`a4`~j(?@IrO#b|IpL+`U7qw;#>D$tAfyo@ zT=L~&3@dF{^_Fq+o9GUsTPY;1#3_yHAo2!mdM+RVL+}-UIeXRrTUH1s%{a}0m5n`7 z&Lfti7M1L;X&2UzkD*?%z$F`gJ!s=<6?ybQS#1pd(Pwiug3fzX#Jkv$4g4C_7=1hj zyq&GmDyPk~vTkqFS^)JXV9oscm8(_vn&rHNyL{sr?S0m1T-b=R=Vfzs8-1|1kn#a{%YI4^x(L)EV3Y zo0UC{1)G34?Upo=tH?Z`nIvDyG5#~`i7j{Wn)`}sx7{v})R0ng{oe@9~lDmv_t&W-|YQuG&^!((NO{?^)u zS{S1%0BR?UZlnFs-~92UeVfPU-u!qwJw1-CvF9;E*!CbgWSt)OdR`h~{)^WN)hFsB zIrK>#+{b3|EAXjb>r>ULY}$=oQ`hiURyN*nmj6VP=Uyw{mwDMSM%FAi$9Aazyu1{= z7vL>Wm-vl0KWbZac(ynV=sX(xiOi?@M!WlP&(5aUc63h#BV4E7bk&6m%Ak7TSwBAO zV6DPnj?nRdV)V$PKR1q!L5v$>iZ1?{AHick!ke%}+ABTNu@}<#insO7Uj5H^Z1Y3WKN4m zuH?8;36z9qfSgW57$g6D?2iY_7!Fm?&}J||5{9a{S|bfhdOR(FFer1$20_)fLAC-7 zL*cipm^fsL*D6~4QD8M#VIa)vEt&`mMJ{?dq%D;g1|{*}k7v@|^PuZ3mVQJn%nM=i z)OUH0;_}kVRJg-C71b5;si|2=7Ku>zBRHnzk}aVhIY~`lHqrilga~wtKsf@f66P^mJ0N{AO2w5-@Z+-`F8s^ z|N4I-{mN_jABQZFgR-E`Sc9vpdhVYXw0vgvzz1F{E>h63EiRm z--G5oTI}}4+Y>fEzf5oP*fIbgY|Yn5ioG2I8Vs$p63-R1xuRHI|Cw7JM*p4v?SECt z+Vb9Mn_nF#chZ$cj`D>>ZA(TAlsWWnWA|*hoK4{dJW@xU0#Ox4F*)1ODP%=}OND{U zNKz^}Bu1R}Fgc3hR2jcT?R1*;6{pqMG%GzxVc=|qr>lzE_)8Z(GK?N)C9B;b6oCbq z?q%$p;acP~=p%H_tstXA5?M5+{83ia<^5fIN0x}w5s3N{oOap9Tyz)z#+zekylDG2 zH>=|!ww9lI;=&Z`1j~cl$8F3XwE5#jyP$FDLO6TZPba7C$@516RsyE2tr`&$pvrrv z3`v_zj~%Acb*|ed`YD&A8iy^3>3=>82IN=KFeO^9eUR5**>c1J98W9s>9*|%P;5XCu#CDzB=$T-m*trIU>Mi-lG!^ zyWf1>2z$_X&@t{#kxmkANISQCO1y3K&a^Bx8+h?PkDMLHFS z{soV{m$E-keL$E_v(HT@w#jS2>B-4S8fyCU*=z54Z`<15PWW#=-Zj|#`m;Z5Cm??_ z>QGH@xs^f*cDyFj7E%pXcqLPDVK55irIGQ@p}zuoDo*caE+ffBuC4g{{7(y^3gfCX zTP^yxBB^fmfuVU;UF>P`3{J*Gh2z&Wai)_4V*FEi{Y8n(5g^aZM)FBsa_^N76V$ws zXX1l|7w_s~Ft!DBG8c4E7MYQIc<0wK?Af$OG+&dz5aoWsnd?kucSzIsoCT)#Y--$H zq?DELR|11tz~t)q+C19c)$0AcUczy0ORiSTD<_BI1|_3VI%Kr9%uPaZ#NANb$@4S7Ka zB0ohi6h7WZCLGFMeaKftC{%86zD46^OW^I0S$Y_%m%{}CI(vpjRQi5-XQZE@GRS84 zq_@3pZ~L^JTpzU)d!#KArkNDgsazB-p`(m}I_SOnpk8@IH#nltxblx*K_mCR_gTfM zK1TJpHy-m^dMZG0cL;~fqv?cm7*rmJ204b4XssAsGxUu=Ry0~zyB{y^wy3K z|JHA`l}&8eK6$%-4v4Q_knjV0Xr=2RFG{Y<>6w+$QyO+Q=+s|(D3yb~orbSfxK)W% zuU_d_^<1x{Qquk?Z>LQdkMouNc!VPvH=nJ$uGC9P=;x11pG~>6F{oFkoXDWowi22)*Hs5EJ7ps z;x6S!4rnVgQiKfTZ|QdVmH#?NMn=xl9F5u%bh?+PoeRs9M>`kfTTPF08kTn5UQyQs zm>+m$dg#Mn|H0b_n{R&cGxu%r&NL2k_<@n1S@wrvQIk#m~Vxv`H&E z#hb*{cTS1j6MPQwSC@h+>RVQrmi7;N(6=l7Vu0w z6OBo})%7}x59&uh=PB2+E&QX=Xq*M^@;d&y&6ls*(_k2!hiAR&$8d?yC;km|Tu_#} z>xcfl?|`-FF#W#aMv5yJ)leC}C8B@lI9wxrPdW5y zZ=-dV_4QJq^9L%Xb?CfOLBq z!R9uFN5JWxZ+V}v0!{bc!=KX-wg!KjhSd-6)~GC3DFf}a9bKKZG3Y17J;Jo`OCA4m zTLn7T!=aH<-lZRM7A6UGov>Z6aA3A=&5JFMP; zL{`R98LzHv5g(OWA|LcmgKGoFExyz(bkW`(b7zDp3&h_IyeEsh7oGw(rT1D&q+p3S zc%J-nD}}y`zY1>|+*m^ADCY}o%hZaO%GtbH!3i$6p>q#C6LhYvxQJ+}P0p{|$>J(| zZ3-@(!#ABR+ITY0)DKrV&v1P{uD$Yi_Frv3_p`SPHb4JopKhbO0G};rzI;R;X9F*- zFp5tlfBD5BFXObcRy4|U75&@Evl%v_q^m5-|IMLn3&H&O9Tx19`X-K2;RSWEuv$u|Ty(fKla?mbinh(#cBMejXO^H7{&}oOlM!=eJ z1b7gydDvK{++MueR!-3Q^$`r%bRu(G8m3=uQJzNtUE@wei+noj<0|Cd+eA@GdFdlT zqb)x<>_*nh=^Zj%>leYKe6n6~B+f-a6vEIbZ@lI;j&h-sOUgE&-T89vV4|Dn`iK7J z-%Z|b^Z2tbezuLzPLr;@topa=J|t&NoigvVoGSa~*fLsq&*AgDQ|??urL+ZJtH&2@ zF{56xhgfm>PUGNc+3~m?KRIsKlxG|BsdtSVdejwdR&^**pNkWy^E-fyzn5r;IAdc- z#&^-xLgg4IxPW20rMAxi)-D7)V59h^6JDVS3Q;sQ5V;TvI(5+gl+X6*F ztnxQc1r(9*4alqVEnfwBzL(IyfH__|tP{F3AD;Cq`0HC3i8l&=ARWS+ZO{GMw0eWn zNaU%!EBsbi&cpDL#Xw`HrSrwK?cw#g*uZeFyzzS5-r0@6Z$92N*nD*I$8CCkR760m z8OZ@*nOi6`!j#H@=cNFc0-m)9W&k-{+x1Y-$*h^yKoM7|3(Syt{8WTocV)qOc+M(5 zj7~O@1>mSKetIvf)Kp51Wt7w*!V;!N#bJt?SWFx!bgp@x0%lsA32?)74=%}{T000r z!Em<1)Gu%2$8zNnKZ;tTYJtIjj8}QBxV_{Ypy|U16EFxr3drJ!u~ep90Z=P`l@%bG z)-ZgBkItE@IYoj|Tgrk=l+1Z40M8Vf*_h`VNQ@hmT`gJyEQSBXX|Dnm2qhnSRm=h{ zDz!$~{p9=t(vDj#x%g-g;F*0t?_}uRg-H&*zxS2z%l&N~M+eW^AO8MF0t_8y)KFO< zYR*gnOwaw98}h#Zp@Z=nT)*zm>t20Rm(WR^6{ZUdHeH3@&f2Vm_~K zI<-Z+u9!X`ve5f9ae{K>qJ+buV7cK{Im7|CtsqEf>L|#090u>Ae%JC@=Nl# zl)lK;y!^-y{k^1fo5vTw^e1gHJ}a4XA3cDd-U%+9$Z^F^_V(_XIPA1_%j7;K7IQD+k|fJV3%TW{41^O`dEz#?U}CXa$S7py_69K zdbPDl-iQ(tKjKXui7!Bv`|7|Fz`dCBsVp7U$#jk-8no1*$K&VuOy+q0938JkMKhi| zO)d>6;*>X$acnYqbv!Q%2oI!E1)&uAe^J0D?gsgK6KaXES>i+$CYc& zpFljV_sY`2h!&cukZvv*X$y1lVgK!j_1u>w9} zXq1?|2DlQ|BgrZRslv!~pz2|sUmQ~Heeobef%vu6Y?#O#;ifeue_je3e!&A3!Z{(f zj;vHjj#%ZBel%Qz(Wi1w>ji%`sh-M~%E)b-Y*|||&E`X^nL^=Sp!RyY|DZrrU~vV= zyjpVD-3r9Bptocbm!42%V{1p=ArJCli{HgZd%Jh??f3gs4?Jr$%P=@>4p{+`(kCs^ zALC12dBMGa*d9S$^6Qzr`dQC3*0MmvVRVhUM4FCzWiPq&)7;X_`AQezLHMCR;tt43 zngiWlcEg^>mU;7Gyx0bwb#PsL6o44EXtx9jHo*euB>Ic~2{x_B&FdC2*#j8uQ@Ly_ zV`%nsm2<%686a~;IS`~oZ>5dEG4`aFas+a5E~xI#{wwX5|IzzrT zbCnNa2(TKc7(zCTq`bLktKoa=zZG)e&% zn_RnQz{=DVF93<>IMZ{AQ8sVKpW9Jc+0FsfE)24Bz^OM5ooCKlhRo4Vp4&Ut=bmPh z`b;q5x)EwWVwx(yuhDuu+v2TQrt&T3ETgcv?@v@WhC4}WVWgC9z z$8hSW^rj9Q=<3(HvMbVB&pnLKpEMh%@A#K%{>6{aVzaf&JTt7^ke{X>#^a~c>c?=@ z@8CS%zxLkud?!|;|4Di_CFUEPneAQKaR9uu5Q-s1lm$s<76Vejcu%p4k(KuWnGVg@ zux_J(8o>D+>HXA*CFdI70c;L5L_t(M3WV`iLb6Q2F>0Huo6T(}MjN{^u5MwGZ7iT$ zKh6WSMI&!ZkyUQqM8U`tg3KyGDuJ6;1VAPV99oir2t~z`rY`shocQF2e#}8B6)r(K zAA5d=cyKjwzx%7=Vg5A61u`MHV#ImWwMiAY;tswFIQ6UI`OH?1isMk4^NCb!=YzU3 zUf}71Bo`O?E0S=-WE%+5F^(e;ZlI ztKy$>(Mg-`U`Dg!os zhpR1spnuu<&kmykHcPugpgLxc)p;5#G(rS%L?&?MFaA7BdrGlI&h!ah+Zy>yZPSnR z8MpS$XXd${CA@x36VKAUA+W-4Hf8rA@p>4;h%kHD7r!91WkZ68)YlmNt9IzHIeO`e z^Q}!9jP_blS#4}!1H!AC$49gQUU%+1Y`^xa|5f6?t>aI>{3q~M(BY8QaXXp4MT4(a zfJR5mE=O#Jyz-uZz2W2>&6>j)Uvb4Z!Yi8+PWbAj{B+TT3;nW{7dEtPkwd_hp0dyU zYxrK_N|%hdz$UiN=bc850-M@pfD(4X(G~~@E$7It7>I%TW?)B$A{$dd7TKQKT{Ns6s%lYg2DKBEH z_{Bc)V$Cm4ArGe}R0RI>sI&seiA%rXBga5N{Su$`t-KZ+*tsL{q^|adE}L$4PjOKZ zM*x_@C1jj5<1ZJ+h5~mx=6wNO?vZsy4j0pQHao@^9id~?3G)-qWAxH8R}G0INoZM7 zw!h--hctB8!KU*gJ?rlUP%TX5eRRtF;9ib1JkT#^58oMY0Z0kRW6GiYsgV<%Kr(*0 zE?(kwpvORhUhz-yV7Wbf?KK);-{v`+kB)4TQ^Bx zKv}<{#l=MqyU>!Q;&Qd3pM2b02c2I##6E(d4lCNSB`gY8jP_gk>uM(^V0q zp+Io>;+Z^m9#uX)Jgc;3SVq=UnPXmb#b4eS&H{ClFYoJF;=>6d<%5dEEk`MpJS(6s z{|aQrSju1H)-U(z1;v=wCdXESRusk|Agy_#e&WjoNBN4t$kOG1?APxT}HYaS@!4ZHvCuC zR*?2yWcwM;8%s0lz~eRpYGPJ0gdX`ok36h+OHMap_RPJ{O5XMO|)uYokp4kFNcL6f)7i&+F1j&cqd%aHBH(r0E{n9P> zZ2s{VKA9o6>FgB#p0!iJX0`}|E^VL2KDmt^!EtP58X)lA5f>K<+B+Li$om&EuOs@4 zQ(rwIBYT#)wmds;P_U_e6bZSo&;51XWuk9$qi4mZJkm>q-j_`q^usun7huwU zX9FsCfmN+0w}P6boUE@KRz1;`ypspxB);e)h*~m**--sWsIf4J9U&}h~ z_1d3%->+XjtLG?yLmVolg2b=Skh*%$wK}KX1UFDtl_Q};k^HIpjWBt}5xTgRF8%sS z9pD+1(+A9WTmS$ud2G)|uGM89>uL$;C_4 z#c>U@Q-_`}s*}iaJrGHHm8Q;j1?nn&^ZD|1r%gZKylK3y)9g{t$dhzJW6E*zUV5ir zul3_QkIwhb--HQoina^NV^6EocK_Aa+NO*9zQysb!R9*$pTig&gotEHL3+|DSctj- zm0_UwRLTf7y@D7^w+u^+gT4^Hpx0^ZVR*7b8ZCKfRzXfLX0iKUzT> z*UMi-&=R{MId=@5FI@^t}Di$3F`1<#iRV4iIw>kL8ZpXZhh#a_D?j zPMqa4alDAj!f3^41x=WX!#2Bk-cGL1^2H#(S|h{@cj03IffYYVMkdN)NIz-Ab7?Z| z&U+8<6Nn=c9R7Ju52L*?@l%G-%aR*;(UV!?ndygSZr#gp4c+V8IXQ&2w(Q~{hcNx- zGjzm|5}Yz+*}9;yF&&TFOf*N?OR*$P^~a&jOsueHCS+H6*5wYOl8@MlGSb0){)Tj7 zya`v~D~!FaOH{N|^zRbZl{_p%OKlrj+N&w(90?GJM!PXTUuuuf7VYg5d*-h(_80AJ ze9?|i7wzQ4{b4oYg8?OsEA-!Z?LF=1e(}Gogm3Bi*k}GjJ2`vSPEVf)h+VIoQaPQ% z19)MXhqn40A6!vwK_@z4c>lBq>X_xHDrI9W8{;9^te#CrIcjvuIqVrJq5Q9`X?N_AL3TJB zz5>LqFC}tqm$p(_LZ>np9D9#bpUrRbkKSeuxnw|h)h$kes-aCQLx-*%Rq>r$<4Nt_ z=7Y9<{(7U%k8Yfz&qqhk+T{44T>@?|1-IHhnFpOq0K`jZagOWww7}+M;wogy0O@FN z9TGo1J87pUXPFCr@BaO^cjsXp!*1*NGGNm(FU6@+1xCnjMgGzNygo<&xL&d_^G*O7i^th#^_;UZ;#mxW zad281KxtLk!#i9DpqcgoZxwOZ!*X)N9}*?1Jy6b^0095=NklRnnsQgjC-hVtDX2N1DREooZ0t_k zcydg=IIb1#vm+WhwXkS5wa3$GYZ6Wv4J${cS%f(rrT?Z$w4Ax%co~p-RGQNAjdpan zxOwMUR~;{QlG%9{4(Kh1?@h-vJhT-ZTT~pTK^dl;X5k)mJbe8-(6jl~r=M!a<45QX ztz(!VBO+*(L_vGpFs5#ESa>uP3Q)rW=(N?D9wtDjg^6sa&k3&qlKIAgD#Ls-Z(4(q zvXV2y4i9Uf(&LHCVxxd24VH|U6Bc0+u?iKYsbD(vga0w4GCKw}jD|5>#~5p1Y55me zu1(Rm0G&Id{Wem^WR&HXYCL$#oqiry6?y#^>eau`Mt8Sn?%A-Wldxo?g(R z!p&*r7x0{8zzcxd`=k3ucjUIbMU6DT5 zD5~$oPkh;1a^ZGC=WT-9-G9*j@vq(PF!~37|9@_i@kyJF&)W6uvW>Qv+Vt`${8GQ< zOYD=(gDbr;nzAV0!|%M}DE;txKhyy$l0KTD9g=^Uc9Zf9Xd}+;&7ANzLR#f#Jv_!oe_|3`loJAT_>^UtzC$em=CpnnNF ziJ@yNfbx~uqAhV=h7ZevLU`^xO95x*TT=Eg{x^WMhRnHkN&}awYVZ}$qqc+V^92iR z`mlHu!E>A8e9v)Q^E`a(&lQG_YvYJbhqf!_qhayTFL7E1EEkc7u?){W0`!~p>QHBk zSulJy0Ij35+YQe`8)2*b>5NC2>dJ2|HmdR~K5>3=wof|uGuF@Zt@g?6r1|;kgj1i* z0(|IL#4>AaEH+3I<+xOXg`ssE$c?4l5R@*(OIfcYEA%lsC78L_LBub-JE4PaQ z@?r`}o@O$Y@JTJPM;N)1mKZ$^tHZet@0TE(3qMc{uDJ;HQI4#`jQ|R^ ztsMB8g#m=M7u3Z_5BI(+y_>gn93KicKO&(6?b2JiCyzAz#W&xV28B2B43IB>dcpE} zj^QK&>V5H-zqWEk>vZw7JwHEghv=OPgN!~2;CiJI@JslcI5|we7g&pbo`v1|(Qg@> z=!F(&2rJFf;IN^23=s9X^q}Vfm82Q^c>ZE8l-E9sCPJ5G%ms6Ps?uJ~0Z9^D#aTeX zp6dS1=<5|+mZIX1G~{56qXZZ>23KG~{3Mn<%6I+YG@RBWmZdBjx(Uxa9-6LYe_aDF zFoZv@9F}iZMCM@|TDK`v+oV6T+)62N&KB40$;o;9`k`ClkY?&<|A9^ zzv9LH`>(ZM`zN;xHh=eH|0ba5>J)?iWZJg2ciVjRS!`6wlXjA`vG^4G5Jk{lJ{14f<;AU8BZgGpN(k&TPibj&4%;MH`0yNz&JJYy|yuV0NC81f}gh|H>Ey1qEU0*_V;$% zy?sCDy9*Ci^JTHK86c4~U0J?&=T5tO|9-o3_ilQEtccwYa~)mU08~oZY%*!{=`4VC zdw0KWxiS3uCKdL1J3T#1Tn^b<&gH#CbsK$Smn%~*&dJ46`&;k-2jt^+!RFV#^2Ihg zI|V$VFM!8YfXDKD2GE?5*;!lSneSXVzJxq=%K}X9uV}>CQ{3Rk)ttJR=S$}lP~QcF zB2%tiAazAN*OYVP3Mk|`W(O`|XPv@^e3$G+lyB&}FvGd6Lv=0^D`S!~&($jpiiR{N z>QmxX$E~xg0bO%qd$}qdme63DdVs5p+n$vZ2K@UjY8- zj^zS?PbMzREBWjTj?^!r$nmlr@i1rVnsKPpD)-+dPc^wWptKXVYi7E~90of$;!z=4=Ls%$Ru#S-OQ4w$BOEGaJN>VkA>p`W)t`2Xasbh3=tZNrO~qpqy`GxAk?5pRIWWi9xg% zF0^Bu1KJ3op$k34*(VjdlHH!i=&|52X$nN49wjQl7f5xox;?nd*Y=Rsd{7t5tgP5F zhdv6Bd6RyPxO~*Chcgu&>6D2z`YJo*FKLvsS6I+d0;aP}Uiw|>ee!J>!xib8}o zJ2=#Zg!_!EKIqC__8g0QcD3v`}_gy$F z2acLpQEOwJB4ovHnErX%46RA1fjLYiqdsY5nMUcRezdKY^UT%Oj?&0a7;y;sy#Jc=Pz>#4~T{5)D`5T zdVj8IlQZ~(`)+?V`d7dF1;FMBWzZhXMOy)AE({+X`TGF;fSN0?i8= zr{{ppbAhMN0Em}vM>eCr<=KT>kd1jip)t#~08$W|9!u?o3wD&hdSGF;zO~*|Re7Gd zty&7-2{uV1ao}S61AMtBK7FR1!>>G5C&Vim*}`9SL=1K`vXSlT5ka`__C5#q`WXZl ze;uDxFJ=dzmQ|lCN9%RcmJ;HMTsbnG1X}H&aYO$s$~|}Uco!9&W{&6LVw$uJ?f;y3 zU_-L6S4rJQp6X@A-2tL$)zpB>kGkc(4R4?IyhTRDv4QT|+u7-~d>YSjV@vgz<7vK8*c5wXlA;EHLg>aSKA-UdJKqB`VAn=O0ml`dr~hA&iIk!Y}Bl zo>_;1X+>NMI91g9H*3Q$F~ zr3Og$+4g9cmh_#rY44{MJv{q6^&pBBc_ z(c+i1z6{P&*l-@cuRN%;gTCJIxp?f6oU6MQZs*}Fp0>x+r|r}VmvU#p;p^>Je(hi7{gvRIP))x?1whgYU?h5f1?3}sxpS*l{XmJ_PJ*wE}s;d}gLS`$E8`y##i z*1tMnxipV91f*9T(avYMoFrEPk>Pns^OL#FfX*~r@h21AwA@eo31S_F_x?irlnxH%IOwXZ9-N1K*1hk2Ka;%O z=JE9}{%KnrJZq~iaspT{alXb~LVKx%G^935d6TH-GLsIsbL8ogY=J^l{depyGCnjc z)O?tP^g|ivx%U5N#M85ShF|s24i%q!Er#>HgU{aCVp{62*F!Sx-osbE{b2J8U;Su1 zJbZho%nNLW0i>FO?T^gHC=INPQN-ovCBk(mrG|NEdHQ@HTEoa~3{qMUy!9w{C{ztD z%%UJy?~hJl`W(S3WI-l^7T8&V>iS-r8u=cF>3B$!H|9eS>ab7W@Z6Qw&OOXFKk0dJ zQZ50c8$*(>|3pZoV8)HfkH9oQ_8^%j=`TGIeCQV%$h69e7zpo|Cj0`=2qRY;(y!T* z%DwN)5f{XUpRgl}6k1d|4eOAH$iwT(U{}WON;ZiiuJeHxaW{$>5AnghGWEJVd##H< zp2^PK`#gS%mN)MGK-=4TkTAD#9J=+O^L6br}S*{%q^*G=oHX&4z<3d1G@NSxCh<0 zb)EUR>EXl(g;b2CMCqGT$l%^Q2{O%N<*(?_tLOA=LSAvPoaB0+oDjgLn75Rjta2y+ z((NG-vS)LIk1gnRfsjAbSzIi&MYaA6au$|k=vgM2GxDu0GK84&-O`)jg*HeM%!dv*MSS-Hiur>-@Xg#n_%zfG%`yZ?3nU?d=Tz zIW6f7kof%Ypq-o?Q@<>=2lwu_S06lRyQ8h>@&o|oe9k4mYBYjJ0ip#c>V0;AFr8Qu6TfLsdOopictKLB)flV=0H0|<3hzxhf5 z;0T|F_&i%4eD9HLs*@JU0CGD(*T)m;kJprkLSrR%-V1$fL~$uVGa zbbDa)qfdM^{O)sItEE?Y^XRmD)O+bJm;8IpxmT)&4*>TXXJx(YR^#V~?O^(} z9ikJ?)l_|Z1)&}mC(1Ut`nEupN6F=eckzegrTRirq-zxNRsHatzOK_dS_UCe#J`7h z2|^Q&XIah7*(njp58e!to*3xQs^bA{M*kfl;NI{amPsq+^kzoq$)gRfjB!DW{`^P$ z<~h9=q#*zjAX+MTOnNn3t)kX@d$06wDnsjD2es8$D*FA>kr3RK{TW6lE%RzzThO_7 zzMMImyPNQWm`vBz==N;>`7?V4ERRNPFEEV_%6H_8U(+^T7c1Sn|7!cye|o#a=ze$F zxrtWZ=K>Ha*8Mws?Q-pqisejZke{l!Qx?PT4mRPP59_LjdL<< zNUVnG&XKd<_1{ie7LcJ8-0u~vZaIhzcMg43qM1hrjroELN}=7n5|~iNch>K>waF`Oanjm!at7bWuyzx+OWIABeeAI9-Wsdt9`8b=R+hPO#As2PkUQTy|aN(YxkJW#6?r=H*;q2)= z=bh&TWkP^{PCO3J8}SwKx}XjL1awk}xW{q!*(H7js`VaS2GrGRYh)~LP|0;9X7A_~ z{?Y>q9eJf%z@TUdhfDg)FRY?7TtEz{8_|2tZ4ac1_ zwO2e1IqQ9t)&{ovs3&#Z^5l*cE-acZPP2tldOYW+&BeGKGsT4r)2*~pZ*W*P)bD=o zhvnCM=ViL%Ov;-4vOJ)7HXf||Z0N0Rh&{07H+8CZ#=4Me%FrDeWv;jRR>!*ro1gvE z@3qHYd#jyKP@D;c>ypHm07H$|Hp=C^i{6zU1?6lnATN_S#S!BPbHY-jnjs-FR>riL zkPDa{punF@wSUle`nTmDh9VpS4oue{VPHnJ7Q*_v)?eN$81E^(w&XFuHQc_Q&nsrj zj2PPjShbarv5*X!l9kq06fuev3V^38$<8_ZtXdqnp~dfgKr3|F8>>RaNJEFlH3~;z zjIKbVP628JRlIch^G+og<(u6j1n$a7x2vgrK(p7U0GhbWS8_O{lfr`Q*Pc@dc%KTx zd_ha`6a};OBi;OpZ{4rwGTh~)y(%7QHl9?F%0Zx+C#}7H_pjV)&!!86{_qbz{8D}^ z|1a~wLwVjD!?SOB*1im3Ev)h=dx*M;`{H?fIy-8|>ZV?!Tcx9w0uH`;_^6`o_oeId z_T^{!a*O&l1WjDJ@`7#*^6+tZYz0>F^d3;Zd+z%Tjp8G{c=*e(AhHt3xnLyIQaIa- zo&`eaVUa6v)Yz%#>U({8DqCN{kkXE@CI&HQ9ZX1t#Iozb2st%(sx5t3Zw~icvAQI)l z-x@~O1wtOCKcj*gPZod+LEfwFU;ZEeFL`%c$5+4n#|1XYm)Xuo5FDx+9k=oMag4lW zNrP{m(?CV;rC(0rL0$ojRJ7!~?1gWTx0M!P#*rhzq`jG@BjCBdT4}pm`^bAGc3A-G z{CD>imR$}(FJC*KOS@vq%I$^Ch`l0yWmSN)(o|;lf;)s>8@UrDe$&(F=#cyJI?sww%z@mcIVzcy0Kr| zxuD0Bvsrug_-T9kfUp zW7*G=nV_wD`UGWwj2SWlbp7N{|4QV2o5xo_^YJ!$`WOIKz}I>~eS6u4s*cLoXAY4& zzuM2n+Mv8b*RV|RM6kCCe+8M=pH=p4Y{V8&zRkC~ozYIN-52-Vq4fn|6ek!IgxcF? zZ?K^Ait9^zLII`@w>tzsJp?!wM z4X*>t2p5ADrN-0@HYFW3UD>w~!2>?H5iy)K{Ol(6Fxuzy zD=IHq%DC9q4K!~FTj&LSrO;^s44)} zUCkS<_^kY`9qVg44kOtG4)6q!xb2d2-dsUyo@=p10aBt*vdYdpnP%llTFa-|!8IXG$0r-IFKo1t&&Ukc#B8(kIZy6(=ylm6u|zGXe{yz+&7 zvrMQD#K)C-U|b|V=-eQ)r0Fm`2CCm18}tNhaoD4`fdO0NwLW}rcw4=0G_7vi*s@nh zT?;Y%OOHOz^5^G0)XkBGOy+tO+m$6_!IPkAxpm;$3z&NEj*+o>~$l&3ER@ zUM;DXuf8xOT8qxF#BZh@a1IZ6iPpE#HD&S~1LrX4NZ;B8z!C{OI$5;GC)0pSLCVHD zfOo?)jk>k6ADO-bJvPwZc;h|ozxWroyBht`*WPSXbxIy6o8c=dS8HRy=5x6pzA0}|K5J3DQ(<92qd0MmJU_T+hc^w!($;PIn& zK0c$4lTIWB&)sl*)t=7v&9($x5S6;m-p#YqlXi-;$8<4={s3DmbM1`{0OThRpf~oD z^a^~~dVs(1;wS&!FW)-Y{K{uO(I!U+k)(Q8^rDwK^NpXBcO5$Cci-pQT3%dBJ9)vd zz*84bEu|qNfL5D)7rjr&4{klymXrT07>!{CtXt5{cz%8 zoY(rX{;0X2+^b6(EBQ2pS0{ShTJ@AJpH<96JEUQmz*XIE&%OGfZT6lpgWvRcqQlPd zoXqM=MUy#=)!AV?n;fHiX9H-YEXZ$M(&vyK%d%-HQ~mKYm_dJ4CMahdhN(`ap$_8c z=b}|{F1NkA_W+yU`r|F{8f<>zBOhpQef3M(;MuN!H?y^cmW|IH;)OW7wO0`23ay(Z zDu#A}@=y_6E&P;MwNR?iS;&Ws+VcX}1M{hR9%grLv!(6eYd zMwt1We6adw5rUHTP@VKa2+gJL{uih-tCGi-$-AfPZ3w}sC`Ma-G}#OQO*Gl)x` z1ef>^D27g5hTAf~&q6PM%$qGI!E#r;oRWagXS``0Q!>#D_l!J<>8f{0m3d2hZKX`))`%cPAi?Y;aaC6i@WpFPuDY z&nV!>$kyjp7Nt`azlWkL{qs?!(}%HDY*IV*l7NPif6gy-7}&gM#8zDx zM7*UIHov&`r6G8qUIG&2Dq-v$bWU65Y3he})he~O&qhhDM6cE88X##M${c#B?z)AT z-^zC`VZb9l(}+j>rw7Yg#wVm7Z6KoX)rZ{r*76(L^uq&b$;;41di8)j$qV!kKMu7S z);#)F`?7gWC3Okd9IdzQP56#~!%i00?a}eH9ZnZ*3jnt>qO5M%=qi38-N@63IeL zFXk#jw2sY=@p`zPf*_xICNbrHWK{-oNNcAjr|q4$9<{f>_SG!tS|#31dt#*z+A@cZ^0cx+ zIYOsa)AJ0dMlRBC#hu}CWRSWqy{T5{@PX@eN(>F!6p&&Id9>WFv>*TJU%GX$`Q<bI~m3HWaDq4;Q^LkFjYQ)Q%)gO+Y8WG1#&39{V+!U$&Dm;L9O;0;B;)TJ~T% zTy6s<`o#4GepSh<3-Xo-iJvgmrB=b|9Tk+4Z|zv@GraI8A1rsFha65FUQz zN3=dyCu^Wn|3e%`!>!krr&uxKmpApk;z}9BS+`_O3g_M!!E0=S`e%>l?0ig_KFe^s zE7}*HXGieMul|u=((lvTs^Mtd+D1~$Gi)w2+0$vKn*{p4AF(&)_r~REu6OU;{r2~4 ze*H^-)Gk5I+wQ591gl`X8oXAvLLI^+=TypM=5nn~$LDQ&ig5vS&L$2Ipm_Mf)*@77 zOU6>@QONWl;RKY)2>&%&x@^pza~W6_+pu}3fDmNVB}!2M)QT`t%Sc|m z5U37?=Y8~o*9yqW(RZd-ijd%8a{Lo#TBPv7c(O@qluALCP>qdT5TC});ddwPYhW-y zD1*aC0i{kzCZFn^5u_CiFs-zR%T@-2EBF_#VppRr-Z4@FRcMkI7FfY>|AJF`MO9n^ z7Jbl7J}P54@?do4+k5}l^IYVRp8oE}$wT9mChm>owL7;9HjkaN`SA~v*XsVSxtr$Q z-d}--`7P??T|ZZTDqkIF=Gy1sMNa4j3foTG>HMf2EhcTAinZb}-xZItDm{$oHM=BL z4VfW5;umPv_qt1twOU+1(p5%5=TVilWsUa(c+xm{B*oC{UB!{G-tyMGJ8Nvp@-_2#f=J9@; z9su+L>|XTNnGLrq+TPu1JNr9r3-IGSO^5a!&OJFiY0sZMYbOWKo7?_qQ+BuZ+GvgR zFVRszQ-4484}SI5 z!R8m={9HSooV9D@ZBM1sBJ5@KS`}1Rv={1cYF5sgC_8BUpn{E0^Q~^$$O$lvt|=cR zi|vYC);`-|Mg9^khjYiRYaP|dt`fxEJ6)thAS#HoseLIu@EieVQQ+Bp(as!N=lRO| zCSdD4;8VR(H=GA*PqnMx^MQvs+F}P7;FAccLXj6Tzv%(hA+PAWR)e#7H_vIvQEt>F zL8X4QFX}6$CqGrZK&;P`1Fksmlf_K&t8Ry*@fXWPyoDRQ_s|c|bUaV_^v8A8-(|bi z8SRSG`sU{VPq$H;oxq1PbZnaPWrv+~8zym5-b^Ys1tIjhPnyhI^?X|2Ab*~F_*~g4 zPmle3_H2H;!RDWTj#j}WU{izUP=OV@j80D)L^}X>P2s_Ia!u>pNxx3?h31pzXYKgu zSzD&E*q{}?biGLdUPbsQD22|h@(hQdnD&C!r^{#&DICse^+HDh8Wns12ApkaId?*T zqW=(s|4jHTiA6YGhROWWi{$moXQ&Ps1Ax^KdI4$gHOjs6v_OO|1fa7}*#j07oitv= zsXzq>4iA=b78ELQ_0Bw45HWxl>;jxt8W`#_3!zc%Kwc13yDhFakrs|ybC14Y#3rKgj zc4NE8*l|CYVehv7rNaedqxIcEA4<=pOgdw0EEka{&lO6J;%a&}o4~Tt&ShG*`ba5;%QZ~1$wr2w%YEU-L}2A)3)v1bOk!} zjnAgol%qC2^*iCvhhG$%#cLl!}QyQN3m=d@9Yp!jK+6Hyx8WpgOetSGu z;Ju%&G>#kllDxyclnG=cI0I;&Q-3He8_MU9p;(wPr(s}vjb%ghM0jrY*3LD_Q0Wcrv^!nPJUB9 zZ~{=vfPirUUa4VpA|#wc+GI3mJ8i@@9>D^GA3Lc8i8jnEH6fU5-+66W%)xcy#km?j zHj_Wo^I0(oJ`h*pz!euNg8J_Z(>Gqr;!q~FB=KN*EX?3eA`Yw1vSGYmD*|}B#>5`o z#6cKiHQ79|aYqi}dBr85zRGB>dTTn`?5yv=uBgY~kvW@R_~TDxHM%^sm(fCKVi{tg zkokoUhyKnfC^FxkG`pnjwsykT0^`3pU8IHW=N^}?HeteYd*`iZ?a$x*Y9{*bjkYm5 z_Cz@pL0DTQC{Vh<0a^~(1W4(^9fZp{UDmw!UeH$xjG;q`!zA96k%XNJm_WVjIuUWw zn0i@Y1ivV3AD)q(e3}wth`=NGQG+zRN`+2^Y(lXiOHTullu&*W|nW#J!rmc0R+lmq$h3=y5& zlVdRsp7B#Z4kFUfl0^76JmS!RD&z8Lyg4w4`c?KOZTYK)Qw_zZBE_2xkiN&JA^o4N zV$faZ`dX=Hp&9q;Kmepa;*~Epc&0P=e4AOS%wTj&uxV_mFmTd3kj>+I7k{`c9D={K z0+}!xS&2^^FOE=%f2Sy#7Xv#aN04GK|Io;`d5N(Rk06L|0(U0y#iF2lR8{g27bW>gKu?pcT6#A?8tAP`wcHQ1+@PTbtXw$97N0 z$POT5Kof6*2(pzbGfs?i?x~7K7PL&o~aSo$XdP*;NBmBIev8*pg zwzH=%`4DWHKg+`ArgOajG=Pi!t!?ZDb;4{07(WLXZ?*m19r)zb744qGr}lm-bJ9WZ zg4b<(5@X}h>vaL9Kyw`(u*{OLw$)Z=58LDbdf;^c0dZ)%_xJbO{=K_xhjYLtU|irn zoh;h3r_bBtcizqh=i0>$XcgdF2c#3iX-d%KXH-{UgPk3bDZ*LPFZ6HhItTPl+r4+M zZSCJ_n>)n6y*2cHqS3^gX;9Fg2AaxFe6d3)@h|@Bze?S6o5!1PeipEK3FX{j`&gDd4{cnFU}{8LDP?5)N5#Vt0zmGZ0G~9H?9{?;sBe~0b=(o_8bK-CVvl}!3@h(UBIS*|63gI z8f?Dx<L*^2cxGD z7k)_tA)jMl9`5hAD}?>kFF$FI-Z~0++IPDSD_1-R#6@t0sxy}kASRPEAdy6#d5bo%|l$mCoTAgGNNBvjk zo(hP(e&?^=GT3|!*!<1tMhZ8sUwhWoA(7B5Z7U=B$yv{023j8_mFi-IFq#aHV z+A+pa^OOTV$S0LaeaYgKH7h&QuvZ2RfFC*Y4-T7fbU`Cw3sxDZ+WqS~-Fe_GI-`yT zbcDZyBd!#B9!8IO=3~o+z}NI@$^2|x|c^=E}L08VKpN1oM0w=}U4QggmMSDqAsdAiBS%NgRi8f62_dqKW> z8l%R~&sc6RkJ={rxxeK;k?Jor6F1nPefjC6y>;YQH?%ax%ak1ww0tDl@Wj|!d-b)~ zZXImevuP#n(5p7oIoucaa?YJ5L1VlfkZ<%08z!ylhCJ$Q(*AhubLVO*UxzMl#yzPXI9h)j6Mjx>FhHe)gCCMeOcv z9-n{nkJ`z}5i+veV;hm3zm!hOB5aL}ozq#4XO>ZTQ5)Jjjmr)w@~(`B@~a(4!;|{D zcLaEy>2R^RgFV(*@E6+_N75u8b5QB+cF&=6 z_Y@5wgF#GP?>&EonTXq4-dScj<-I)Wi;&`Ph@1a7Y?@au-RH-B>KC5*&-m;-arD%w ze2c{x(0Sa>CeQQPOaZ9VA5wHQsvOpfPCapmIDbbL2z}|zPf_rma&_HK zPflPQM58p$bMc$W8EWC3AMeM;kU@!Cjxn^pPCJiE)}%h*AxWNI2C^>s=b)DT6xB`pjTQ- zp$lYMcvP}5oacfH^fU+R8)K}JMsOS|dA93-`%d%@U{rwQDQEK=1FZ42PzWq>7(H7% z&OfntH-!)I>FRbXbrnT3P85kJ>H#4g+!|km8lXq~3Hwr-Nv|pb!)WXSmZ(4k1-?s; z$Zvt$QjV@D-E<`Bn{!p_`puJQd0ymDwjFp{nDbQ;jf({fcN3QQ<%Q?h?+P|=ae>hD zr|sjv_rc2JK)Z$ZMZx{Xvxn!phM$lwpesY|#0l*hI4j^Tqi;NlCWj08gYWXY;*@T!iXoH$ zB;--OGbCYrL)lqO&M7}jRH%RoD*|-$Mkk3dK?(N)I5=&9R=&mw9tBtud0eiEmShB! z8e^$2S=pJ2LpqF;`|fPG2LMVL`P6@RrtdJi^8*d+)RfRa@WTNtSEG-3c5jO_K*Bgo zXLi2Sz7CjpbW|IGTlVFJd=l(Ctzq5DAK9emlxMHJ`fB^9|NM4`(NAJOkp*^hK6Bf& zS!~!f4FQLY=SxrFwcq9z;9=)rrn!lh@fSUcT`hh^uGmp4>H5;oN-8Jch7UIW(GT^@ zK>hpY4tr}uZ7?|JQ=8>GKPs_`y{QEc$R}~>09F93n!8!H#Q3Bq_6KbcNV+d^V~3dVS5&$lw#-S(?$tJE1Pj4SH>T&2CW#zlD{oOaDH>aB5D z=Cn=Zj=Tw^^{;KWyty6NM%$df)~?3O?ez4tO-Wz7zVCO>AKnkp+#p?nroEb0?BmmM zJ3KgSC&x#~%6$k0$M$Rqbk}GQ*`O?-xiK0goC}iNDrlix-GKYN=E=DjR$Y!v1wQLE z-ZufL0iU}8oPy7tJ9pdGeu2*o>eThEt@e{Yb^8m1-u&V)jE)rTowN>-_l0jP*T~wp zxkm+k<{QeDi={FxOCX{hV&oE{RgYn>ZbF`TrWo^54sWMSl+?d?7vkOV+ zkPOmINg!{OHNmI$)DheH1We#!Blq{@o!c$B)lzo_ObLrE)M@Z@#=8v@4X8uvmcx{@ zA>Tcp`h(eV>1>l{+&TpAb@vy`EeSrekp^#W=5=zG`fd+Av=zZX>Lu}dp3|V4x{T#+n475JqS~6%0-_aqAicW6dYCyRDXh3g>SyC&{AkPG=hRpoxrhg34wP` z#Uq7h!Kn&@XI%3l?^GDm*Y(~73tzyo*Q8alCq2O@^k!PKezkcTj+V1AQ>?}i{U==C(=rQ`d`X3<9w8b9tOyKA^=0TYAs{GVUoU5OJZ;HFe?&bq$$l z7n5mQU^5(wpHDc?{LHPNAS^yWQ1yTcl%Pofy6uoYKzMuqPJ7>f`s3mGZ61QnQ|N`A zN|v)_9T_fZ1IQC}r@`sd*n>JNXTzl7s(wc2yhm>YE5?&DUAm<_)hWxk_Se46d&6xw3PKBrLKDt1Z+yyAdtoCoHj=a7tKSsNBh#&IcNYL}a4k-8r-42AyR%!1 z!8Ujv`v)EFh>$XeZeEaXh;(I^I7y4XmtC+LJtS-0XM zGM_DRtrK9{GYYlbb3+|)14b=4oW)U@ZbVvX5bB@_g5XP)cm3A9(()^4wb#@s0P=&< z5gsdm*ie4aeRHZ~t}slRy6Bc64+`3(@g^=fVLnQKWnK?nVIlJRh7+S1(ndLt}E=RtFMJa3!4@ zl$)MM3kcUSQo>u`XkZPC!MV@sa;ZL6MhG))&05rod^~u(gKUD#*@t@X-H$(iX zB7@?SF`vWTaADyIv%QxVa zPFU5PALrNhzrXF=BG`1!=0`sG8|^hk=p@E(Zy_J)xY}sD z0OfnzR3`A+QYT&0^QHFI;k-Q?Q---W6uB>b9)8K2KchuPufOr0_Rns47=3*7Ec9BT z&1u{^len_{Jt(GujQO$*=UA8}`1A-u5{t@q5R z1KJB&sSbq`+#4QQLeq^o_Jg!L zDNLoi#$hjw_Es7l_O{XD`ha_D-{1DvUJdvt0OIQNy|%f#-Ig}i(ko|=zP+x`pFC?% z9zDvY?8aqJ+0M>x+aioTW;LD2<{dUZb&MO;*XWmDC|b;>Xdb*2QaH>?UFLQPR{)cX z$)ug1;YZ-9o1UhJ+ZE{n;)Gkad;)ORs3(8;ul;CfxXt6uFZ^+OHlsTcB8Rf(Qu@>{ zr${94=&5s5xx(?|nkvCIO#CTZ7fq!nF*<=QMxN?{z1r%OBV~g4b*CHH5C-&V+cMvl z_nLqU_~Y6Q^(nT*h@nNr?!c$&`>M+&H}$RQ5rOri`>1Xs@6v&7WLgWtw$L#*(mDrepx_lz*mNfemW3wB{fS0Cg8r8b7>u|8W#Jz;eZF z^}-%}bjPz`beVS~UJf4j&NCaG9azHVWIdbATg@1rcY<2qlVi@@lZV(`T!!7N^ph{k zK4)~;vw2JYaG5Se8FHAtzSTZ~WOs3JRlj;#J85)2>+U}I4t%ciw}0#3wXc2cE2%JD z^>sQn;S%(N2M=OA&7eTi7IsiR%3>y+aBI(CzO$M40?c#DAdJGWxlyYdvaZ8`$4?I0 z*un|p_Q=HjJNwzf0+tNI#Mmy=A_08PDZqdB=9k;ozy7>!uit4u_`N^a9`3!OjUoQp zv{%$_|7k@Soz*>=W6gQVj4}A z!F|+J>L@sYeD1Zz*$L$xl%!BVLka^%BtqA)TQO>!GOURqE7_Nla5g|H2~&jzR5Q$mL`LAVCt}+&LXMNbVYi4=A(aAVVkZ`A}fAY_7_uJ^x z!zZyV8g+-#r`Vc&HyV4lm{1X|F51=FahnbM@hV@rqE6X}iTzu)l3vMmaa~T^$ic3X zH@}RNU_1*zG%&iLP6*i4Go%q<=CQd>MS)zkg#yg=6&DFP8iPL~(y#N}4JU|G|5Ax3 zS>-e6X~U*EWFEVse%gairAsa95W6wi>vFYpLB8!=P(PK0y@ICQu$2yt`}xQPVXxW< z@T{GjpJQLKi=mN}96H}v0~AL&NSit-3*AW8hMqn5zIQlrV{N^0fvcW#aVs9W}sxv-~ziFR-{n*&fM z?QDG7raHjtd^)E7sVN{Tzkowv;CH;20G~_tfFbW|>aNQ%mHBww7Gu&n#U&10zJtAJ zKl(#I8Cl=v@uy$-T)q*nE_ATzNtt`3&a>=?0}-1{AD;0e+rG=a*9OxDZLa3pX#{?O zNf4Sv#ToA2h+Hg}g3Jw`kHiUbzL=nH?GIQ5Kh=hBi*z z`p8jKb<~DJIz-5e*ABn$?C!Rmz1_CEEBM?AJ=$022Ji7)Kk9&TFkR!GOlF9dJmQpd z>|)9SWQr+xpPpD~oSu!_C3@ngKihQHmU-^?+^-ywB~MGxwuC={W_m!;lV!`f_=)Q) z^hGD0QlBV_=oI&65WNZ>fF_uMzSk&0(l!mkRF5l;`!Gelj8mwbyo2_fagiw*5pd_j z4Cihh@5b>*=w)pn@5dT?WBIk$zYD(YCj2)a?;33W-tYWod;9ILM2T!oh_>^+V>2RQ zoJIQTmQ1s|nOwv`_2D3eX-2YYJ&It(uAzfDcyWHk^Mk{7W@`XO?re z<|z#gXf15OBDLe=qxR(abByGuecu~@xqUBg17kTpIcq1!XE5H%wv@~{HCCpX@2TRT zq$aH4l+gk~3wgc*1T(Am0F|~zXWv?HhYKqm=qf z82|NW1>QU0@_7mlzj|NBLyO`2Zg`9<6^ec=4yLGVn2Os(mMO!i8 z8xDC?`5fpUTr%|1(Vq)WR#fE6DV5)0JG_{*i3OXSqSDcY9#R0Oe*uAoz6=p;kQMxs zv$DncnaWYCTm18SaHLs4pbo>SN6JaSkhz+n*Jl-@_q` z=&1|ZR%#xV03@_XCvwZ4ni)bDWIBv4h#)`4Jm^fVE{6}$W%*7XNm>^G92!bzr7?{o z!%JSy@|X+$C5)FiSI&=CT}6sLF@xkO^1zc|bJNc*QqkYta?YtS*$Xj%&Et8SVw^`C zE7{n+e?3S5;~cwQ#yzxG4<5eO{@K5{-JZ>}XOH0r4Ql|Q+r8xzi~y|(kfpC>TnW{md$k`Od6!V=Uvy~d@+Sfw*#`QDhDe~ZBlv;;b{Oj&PvlBiugeX zoMTqNc8xH#)myj~fhnD8fT~OO>e)c)4IVs6Nc5(3$DXCqM~7W`!+q5m&X03Wn6?n@ zj;(SeNS(3)WbfAEa+Wm-;Rt-PnTu{)hq2S7%G&|ORO9C^6+=`rBaUd@Adp0u;06B+=s$jG|Fc=M$k8V1&P zmT!TKbj<*m0>s4(pb0p2G>pWdhde;9Jw?_v(qn}$_)OuoD$@Z7mYnxT-D&UVrK2Z+ zP>0`t{O|ly=)KM3%`g2)J0(BLTmD87hwC)3OR4U?XO`$9nGtMe@=;NpIdTkGe z;cT6!S1E>2+U=1+L5RGNDVkh2HZ{$2~%yuD#`!RE(* z@3+GHG9YCjQgB{!9U#@aItP#q#zU9)_@%VB%lT;=&yL%vp9l+|X#%BgEU_sTq& zfAthz@JQ!T`IKIto3_BH0W?$ku4(X+3AB_j&<aRKwuay5<9Ao8cB~f4#;Jvkty`q8}bSb>& zFLuU=WHZ2^^iobcFMJ(;r5AqHO;3ii0@apf0a4=Ol~iiCaBl2w1Kk&f3J4)$bu+!5 z!aLGczdWSh__}>@^ea8OD3>&lTpCCzSLz(`jn+5Y&S~B~^mqWHQ^3Ovd1CwFdn)-<{&0nJzF32-vxOh^NI3u{elx4 zBG|O7&A9g7=VxdAla7vL((n@iqI4-|xLzMfr}~t7L3@()ttZL}Ol6ApxYz3$4KSYQ zKsB1eHV9LXY@~=c)Q!s->2kitHu<^l6%`-4>ltyV)B5#&fTwke4ItyQ z!QwgbkzQy}uS{IJe%{3&W!&kBi;GG7tAFK3+P%B4 z`tmOv9c=cL{(nBwa|82J@j-@8>TMy|ZG3oq+MXYtw71?lY+rrrpnV1R=9k`SZ+`Ku z_V%Oa?a+A+ehvv{_le$7Rg4Sl3nS7}=S~JWm+1%q`}E*A0M^RFAxMYEXDE!5>$Q~{ z(=CkD0>Pc0xLf}Jx4l36(KX5PH6inP9`+D(W@Kh%<*7O~G@Rxf#BhN?+%#~5x&;TR zL25WcNQhhh4TQuceSr`cjSzIJ)uK^@becY=t4`OLm06XUkugW?dHd|&=d(M{^INaE z``#51J9Z8pnP}VR=I>;$*|KHJ*817_`lW{j81Q<#wS2oBj!xU-hkNZOKl-%&-Cuv+ z{_0d?!$jCBkN_an@nlV=RCN?aqKZIULbBm#h8ReKd^Deugeb5m{N z&NtSnoElMAjZQn20HZK*fiX@km4lXu3IN)v5CT;7SgjUTd@L@N_8^53F0~tFfLG8o z7zK_rF2qWDR&I~IA|^ew2Uq-*!=bXNd`v_og1>1e9i=3S-ZCiCR@VU^;j#P*p~L+_ znM~L4WWw{FIhceWlam;5x2#r)Sbj8WIK(dI)k=4>ic;?fJ_b9?QrhFZ$oN%j-D$m&;yy{I7tyHXoOY zCv?=a1dSsx&T}7cQrRY?^8sJxJk6e|BUMG-JfhxJq)wGf5x#E)~jFT|Q z6Myo`Mw|S~`~H&Vz;F4BNQ-6MwD|z=IYuuW;@#^{24qnOWo=wH?RK|!@||YOY8s;5 z&S`#XuFX0E0?nfh4B(*+fGRb!2}@%1lmVqOAW5E>S?|cB;+AjZxjIWGsypmSv>_S* z$~(r}%OJ8xyc*K<&=@yTY>d^@$(eOs-iFVdoCc!t^7B)`_9li7 z@+~iC7N*)5J^gg+N!#4oKrTiFR0%SN4qZ5-0d`Ch$cz=$4e+JOc+HpeXu#d>Z*OZ%(vOw z%WdKAT3f=ey>_du-CAv{D@$!<*)5OU8`?&6ZBdnSL#}K{Xm>N54#2YmY;SKri=3Tz zxk&@#@uSD>$&)8-gGR*G*4FUJM&y9pSf17kr~fT1E!M)K#l^O=vQi6;mc8~9){X{r z8>t9^Q;_2k<>*Yo3uGCIY$rCXXy~7TFSN~u5$pI9sQv6(*R{0LiRW7}Ov_NhZ-KrG&H6FhGo@fU~GZAX;hNA~`-PFknq zc_zr^o^{nu!sy@VbUC7n7D|1sg>LGhuXZo3X$5-O%M6B<(MA|aG%F&Z!UADVZb_kW3tiC>GPaDh$;dVUL^22L-XQ z({`zx*?tHisKP-hSr=Pe`sA&)e1_mo+-}o{3luQIeh8R5q4H4QPf-*q8VleYh2^#uM~6=A z-b0b>lXsL2aAb1IVI5oc!(>|bvVz7;sKo-x8;4?ST{+aHGIxceb2=9mmhvgNMe>qO zRRKU%n1D@tm|WzP-U)kBp@aA=`1HWVJX;?6G9DJM!=qX%l|{c7H4@>_JXs6yDrN6$ zU`R7@cW-NND5Gwm%Bg}?!j`>pmd_J{T!p(q_guQ2UVRzW0(8%M?{}K7d7i0gX0=8% z5yunA9Y;ZVfMNIvSIl$wyvP$%hNUW=;ZgWh=Q>0AXWE@EfqJbX^j+WJIrsH(+%v5J z0OK(X-eG6wiVD;!Wgi>Bd~19w?fy=M@YMJQ8Hg^}KwzFD=8*VSe9{hsGfQ z7Hp1CykiuwTj`wAP_VZ&^^p4PqK=z(PaZz02C+RF=qnT$XdODxm1jrC?d;$j!?B#X z>z0OfT{$(+=1&(8#YL52-P73vEgx!x!@S{Xq^dg{O3%Wz)c0^X?*@DlpT<(XqYE%i z<5q8Q!p4&-VdIq@)6W~aP{@A+@#k~WH=UGs?zsxy;d5oE(uT}MTUuDb=sTbDtVW=WIZ1M+{0~z?oM%_PXEb60G%KH{7vpv?ecm1&?6muv zkJ^)sCv6viXOE+Ba*4d(U0rW)-F>rt`|WSHH{W^-FtHA3arzbj7H|I53C`j33r5aU zbK%ee;6p$XyC^szFSGLiVHceM0Bb;$zfuHg>R^GGah*`!u3$bs0DuA>4geS9y>S}> zg2sD$ctGerU=8qjRsU|zx$3+x^yz?8nQ;+S*%R^;fJvU=n{!xa=g9AjA3T`=tR1xd z(KwB~ET*J!I7I_tf^xo~4D%Ht8;ss_I31AaYWx|uWCL8fFbaWf7qf)JpYzTsU=-un zrj}^{tS-0tb?o)+)wXmCo4K|`8PNDxn9m}hMYpk{q2L@)y>mosZ%yPt;6!;NG#ORh z2h2&U0CXGNu(P`d<~XQPN@PtJ{cIj6LqV+jdD_8c`7Z)GT{tEHO)n>5l>w58+^QGl z0n$h{NB&9sjI;?H?^l^l;Hy)H`~XGt68?yW#sR?7J;)C^Kh`5FC)_*Qb&=U2pz$;y za~iBQb9mNfyGP$m2{`c$8JpyJKA-?@Fe-MxD!-QUiQdhh2Sw9W1PAa)UPmVj9K+EG8G* z$-zY1-*X#-xwgN3L<@Ed^Cu~63Vwf-Zfyuinl(?N0GW!7W&-yqTmT9=fhQu;U0hWSRNu~vf;HI|$ex(;JfVYP3ResUqq_5dkYBbaxSgMfy z<&n}v{3cWJ;fc>{UGL_>95TNw6B5PFD={wjKA4-(ZA!P19ULFMXr^U48v0wTu`(EfLL2u%M=rP zb?n#>AXg*2JQ;6ufJwoqpRVki>su#e?9|Ng1vc!DHcEivxqv5gMaf&&3-P>{9wf>* zqjxksYFgJx`#1ha|MSpxlkSJ_{bhT)^OX97T}io9KjC3y&GMFNk37sXy!lGrI9I&< zqRhh5a=xPE9L#ihSWxl2$I)Ii}SRO&UBC1Ek}C^Q?Bq4jaa;kV^i@F#j^o)8XfoVWpSO8eB$g^we9+$IJ^X zU16Uge$r3Rrt}fcI1Z7sU?lA|_rx+b1~YX<5GyO8DVCe}&&@aGe2#8DwVqPHk9mJY zdSmEPA4+2YEOp5qNk>H0m*+>wG2yb3UHWLqI0xAIo>N@0s{AY-+8zF-uHedz_EG}G+uKElf56dvX=m_htPw9938hu4<0#vudUD1ikd`d zRm2!Tg~?%Z7anEOF2?y>rHJCpcS(;NQg?{mmGN#DH4a!*`N$guPobA-@-w_rIAs{r zO7Bo3Vk~M7QCC#thi7m--Z;_#$h!$ZK8%BBhBmBe^1K!d^c0NAFhiW&s$M6L+=IrD zV3-i((fGXYgL>EZ{MUOuZhY&bjand7w3?5cgs$=u=)F2#-M{h?w(c%Ykjd?~b-2^E zFk{81D%{?FCiVHGVVcJr_(U_oZy4MOjoK+8d_f7i?zFL*yk9 z6IbXqa^kDJBt`C(jF}}UO=bn61m_+KE3%j;ylUP`zA|Sk5ng2D_8GvVLtaPH!hJyl zrl`$N&bF1A`L;GY)fNRL#AjO8mHp$^9`2lGG)4JVBCE%%dLx{65MJ<30hy`x_FM0? zfBJ9V?3~U2^Z((0m-&8&Bm6!fb9MF4dSc0%9Md+l(+#z$b)*6QlU{oV+63* zWg~To@<Q2Mer(LU8(>N?2 zqn({zkT{;ZJ<|+%w%5lwm*&Z>{X-fc^ninO1D<6J=T0^82VvyJ&FcL!(6_T6>-ppW zT%1{_4HIXd63EQf@Xf$q{8!bGK8+ zE!+4i`B2@BJ$}YLF8#(lKBu}6`2zH7 zL_>ifjH10bdwj4 z=Um&{xi4M}v3y@*l~MR9QM{Q{zbp_VNp92(!=*>C$Jzxhij;@R=uwwsA6=;qGMt8?Hs z??<_DEaj_k&W5qJ1l+SW|UW)(<>^1-)pWb^wVV}2I82k3?ciSKR;CIv8 zW6$TU^)-Zncqt6KvCrK;dU`SQP$Mva;+>}(ZDne{-I`fyOFWyOSZGflZ(}I7+Swt> z?Hs^rH#p%HPKUDu5T^*3TPFFXkPL}ue&->ATys3#MAa6H!q~qftB^ZoLFFGn0UL-a zPC?Lj5TS?&3^k%QDdoOkQv+2kw{TWA7T@Yn_qk~u$+jf2nrBhIgwmL#hYW7S&_s6{ z*AOsA;~3)h4w0nN4dHIOXEWbM|L6Zn=#ckC%NIFlkJrf)&k38nl%n&9il8j^+RpJ_ z+ouBCvMz9MZzg2`kK}RZN#5aI<=kHZMdKR64)my~D5@wOk12A08oU5blr8dAy<>Pwow%%5+0@wSA{u1m z@>qo?B}R@*Z=11m?Je`*wbeDs)DvQqjvDpwIeFnknpJRup@4Iqm<_!oyO-t^bI^Y2Pd5qygC;CAQKX_WU=zMys!jdn~$D$Dvynfc|ejp)L2@<{mgC^i9EuH zqwmt#=UEy$q=*>DI4RGUJ*&!%6j|p4eE6acdXX_fU4cz>ATni{2u?C&PQ8+bC5*nt zII<({l%eSwjbEEv1TZ^y(=^9N$CTe(%21u|*N~j2XK$qM+eq?Sdfg4g1##}`F>&@T z>5-=ah)DYdY4%OEt%D`g+O5i?P8()?0?rwLlkzLrbY!6B2U3rW3*OmlZl_9s3f^H# zX;PGvvB9te_En`5k`oTR$e#W%w9M%EZaj}u#@)yro_iUKEXSj9hh;!qYR{~U@`EKM~f#5GkC4JzL`O>1; zAUps^9GslDF)~H1soqYXp(7Ei*rG|o^;PO_e^e{ct*gXo5|kHFMpk==Ll!E-^OO;3 zY9EGzw8nCxBL-#Ams7C1L6`eaJ>eZr|L70w*?g;RJm-Gl1wvA7C34Fm852OFaA^rl zpNy*_ls%a&YKI4LMI>RsjA=QbBn}Qv+s@9Y-GA`7eg4_Kwz;{T;r8m88;l->WG}}q zEsD?YKWZO-^jZ7t-lO((V=I$+_nqGYz_i8dJc{+z)iD3*lZ{OL9gRk9nfog!GgrF0 zit*hy-)MeP^YP;+ZG{$?t(^0cXtGEFplDsVW0$k7gADo z;((`eHN6SAhz}7fOTJfk%zwpin%*f;YfK8T<%(qnOJZKb{W+U@q%>v!;X+gq>QX>Z)Q zldaS4uCHgm-rM+Ft1E5IuZp-3;fCGn?K^E@X$76*Vur~!58d+`WO;aU+|G`U+Trd& zJKJ7p^XZMlSza1T_+Q|!%20;O9~aW73pCm(8_K}P%0os$xK&3RN$4k@_ufGl-dL&` z-b4NkV_J#8I*d=fSKhqO^MJ~DxSw!_mnP#a8I1EDKR-WddhQ`?$&Zh0cmr_r+7KrK z<90U!Egu-q+>Aq=wa~&wiwi34omGA`?mWVkT%|q>hN!Q`S<^RsZU~I^*$x21hL$~G zi*0sc1)-VC7JE;zJKCQ8-Tmf=Nz@1Cb!lm_-9dKNkr{cL9y93k+@n0m(5N(UJ%t^y zx6_Tl?Txg~NMqmY@Z=C3GD8Z^qB)J%=ZL?a3kY46zUKX4u^LRg&mPP2q(1=ZM?6oRp*UKxgxXCj5$D4zgF; zIh~7b$^A9m4t1~^gNy9%InBLk;)HwYoN$X zoaQ*CKcoE4_3-dQ{Xl3M^etaGgSS?CubtCiCtZ}lSG%a}mvL!v5$`UHb<(R9(&25# z{QEFYDMRSM=PN1R|Dqjlp0)AAqc*w^pnP=HCikb>()nUro?2~-Q_F3R-y{WkdPu%d zI%U*tkqfk?1)<8y_MJ8wJ7Jl4FhWi$&wN*C(5O4KDUYOE#TF9-O|}l5lQ%oN08i#} zUBhMwPZYmJU*(~~%y77(Js6NG8_G`wj+Zw96CRVMMyYtCA4ha)sZozehk(;wi$x5~GGKDqm8z>tZ51Q3zP8+M-&$#R zZ?Dk`$KP6QYbzS_n{_TKSORP=ET9MGte*m2ctYKG!H|3IosIxw+kPT-g}SQ@3o7M< z@=!cW>2g!~aHwz|5LUg`#bZOvX610{vQy%(Z+w?*E93c65aE0t!|L4e#A%O5r7LG` zU|NE@l3}=>8)C8ZVw>98a<&CKw84;7VmXEqtUnL zun*zd)8%)ejXN~pssUyX82U=!hqo8WG}6O05MGVoZSRUiKbkkQ?EoVB_L=YEcrq5PwDI<^MnK(1mfO1bSGCqrb;GqE2jrA9o0EE_CSDQiKldSGf6oe2n?nuAvN^31{`>Vpjd;&;g1^2t|))D>>t&a({3n96RH9%1>SM zVrLP(l(X`QmbZ6D2-E~heU8>Kf5wO#SHYO^Aa_}uT)IWzBm z`&;dg{^9Sn?|<*RsW8$nZ66cQ#}A&uf9LtYJi^*L7?8_z8EKVYqClNbWw-ff_a4%s z*=TEPx7zKsJ8f}(nGh;iLY~pWKye)Hp|ti9q%9Q5E`@o3qS>QzZXUPkos+h3LV=yk zwTlCQ zbRCAb_X9(K*ANKQ_(#k)=ae*+U8y#$4fJ5~0T6gT#RM<9occ2lS?oag z$T9iJ6Q3)~YB#D;?IBsRoo9)o&)P3`sktUv{hmuByJX5x<$9@IMZPc>8lty&W zZw_;3e?a1@{V~z=UFO1j%8gUyvm|0DOCJq)y5lxizSKQelxY^=WUID8w^C4cC?t$= zL5mx+EB9$wm==i&S{LS=_cyP4B_HTbjOyz0YUIoE6l6HG?wokf1@GqDdHq#ybOS(| z8>Qhk3(%aIU2IeHOKl2Z;p%9=;aWkRMb78+OGN=T0N3=|aqjv9<2S5nDZ_%z`jQmDCOx19#&6oCe#2jT zC_O5DnI5CJ{wa4BFTxhRnVv<;i|n^)>L!)>9B>b8LO+q0vtz*6At20i!6!0q9gdjr z&$^C}G;tdJsSd;oxCH9?A{0EEv-cD4eL?Io{><=PPXaInkvp?!`)<4Y`db;!QpZa|fTo2?SX0S- z8`AUP+VVns{Wb-N(7P&Z4CwUpoOg)J?LwsW0;3_Q4FEAw^FcwK(0UL=`f1IxLs~4m zhwXg#xNUvD*?#=zf7^ccSAW-@e)6ClZjRa<1-U>$PM;%$ewt5U2nbb4TcEb8os(Ka z7p{~%&J+T-fO4LREidoq+uH&|K&akxYq6yQC3ZsM1T~b|G!=Miz7(*E6JwC#$bS?K z{MR^m3=n{)w(xCzRad=6isvd1%SUFSY_k1IMRa4XD7MHVEZ#~bk4#doSpX2=F@Q_U zo9i6C7Dz=d6ASsQRe)qBaV5&+sWO&S_!l0LZ-H)xldK~=DCK-fN#sn;l-l@;E5{hS9L z`KR4BR%6P2?}ZDTn=h%+NUC7S>8YFQ4XEa?K(b2OI$b`iMga@Gacr62w3{bght2JQOheHH zE96hWHN`QWtV|pLoQ@Zx%r&}@ALE}!j~T>SRyD23UP~;4?~(6n5D3nW-~*gQZ~L8N z4ZVik`H=NV$oj#&p=8Z6s>Z!>2!0aH@yjaj06Brq64JEA^Ju1|LSY6wZ&Vv+66q=rGfwG=|)D`4gq@syu7br7iic> zxrH&mOZeCB+>Kwys5^aYnnr{@w~_U09;T*Dvies5Di5$DZj0nFvBTx_cmb5d$pOoh zH`zcotOehILk=>`txX)f0L#3jP9md%t*fH|l=tL2;nH(yWwr0gp?3t@MOkjCWaGW& zf0mx?WfoQqdb;;W=NNCC`qI<(6wlH~u(#RX&nbZZWI&@}au{mod}??m_;eUua5>?2 zN>+R4d;?Ci*C&8I{`n` zWa>W)-^QP^DsGD1B)`^q^JtyR-krqnR$2;dw;2Q=Zh?oM}b8p3hXS#X0@@H9-jNLXr!aY=hGxnIP^KbQxb6g; zypHZtnU*jI?C@+6!Fc!WJ8f;nITy3FvFehaA)9OmAobB`oZiQLodd5$woG1!cEOCw`3&Xg=c#P%KYF~;KKbagw(;m``}~8C+K>M9zi99M#gE#9 zpMTn(esr(xKiq5+hZk+emc$vAYha!C(w*AXt97D0!3S*a2uM96)D|UtN?v#t7$ubPsjI+l`J)pdqr;-D? zV%hzusH}G!DwRqvbmOCZaj{!NS&~d*OFo8ZBa^---}GEd zzd22hpYJ8@dY0$IyEo}(F>>=Le`%+fsh{Ls{Q>PrP0CYUBp)ULn~T%8+RP+|6P=qa z$YdVOidT`D)jN;xE%tz0_YGnxBodoA9S!OS8a#d zW0S=o>RoxoyBgPW1L;doNJ_8Dl2haKT*KwAY@T#^j9dU71-RxVa;~iUS3J~K zU#?hJjtM8tE?jc{@bU`zBEC5QvLJOH*|Rs@#!L0C*U-P6efa_tVW#jXoHntt+%BN` zl)CQRPN!hmky6w1PO|T>_~{U!c|1M@d{W2!ru#leN3yw3>krWBaJ$3q=$j)*JSHFM z+4yRwW_T%QWsyND9_Lmb99^`x-u_nmqd)uy?H~W+KWhJ_KmNV;?Qgx+R+pV*OQA+S zH4s(NaxQ}vCInJpB*rjaC0pvjXBvVEr!YsL@y^+L13>%w`bvz(?e%4l`9ZsP|6zOh zcrzQve}3;_7XJ8UfW7_N2wrj47`w_dUl>5}6oy5F(^i9mVtS^Zc|RypzfM$L-sf!v z;k!-C#&Ci<_we+~0q%pA&tU-|T`{QQP{BCV=d=Lto35bEDFAN6r228f`)Bv==c`B- z6sD)yqS%Gzdmn$+KK$FCw)cPdjU|z}qc7PSF1&?Ep&|;xg07zNdJ90#2 za|7^W=TKR0ITmm~A|Hb33?mXn@)nR~+*iIk??>TsEZH_~`Bh2{Q}rg0Cif$!LwQ(dTp%>Z^$hW55l2NApqUB#p_6AcDv%Vs;iOEXXF^fyIo35^ zCUHa}Fy@uEMz^M(Tsz`@BS4dc&8n})8;#yyGDQ8ir${C1W$5xy(=v|n)oUiW_AQ*O z3$3PM@0dm>ln)P$zy8Z-4Zho*)v(i5@4>u=oTFes*X2}Db>j|jI0fL8S+1gY+czy= z^}dn^43%F((LhZe&9=F7^iJxbx<#JKT)%PY!B!vwn`fAXEw61IcP>#j!jVz2Fo#}9l1AcX?7%sM&Qwin9ga01E|r1rmV4bv}+1JlUn%Z zXD^ffxqB^-+UfCuxsA@Aca=VXWpZs9Lp%u>KWV#rd-?qF(~ZrnLYCk1Fj3G>VW`_79kU3XU>nMPI>-F0K zH%79$FxNi$UHfzDEIWa`ej)8ufGDIUJ!xcl?sXe%ssJZchZ#AAbq}{Ym@jU;cIb z(VzWA`_upIU$y`2pZ`hw%Rl>3`{e!40icI%egY-uu)Fz#idlrtA-m*{U-8>^V^w1F z=iDU0rh>MA2yiAZerY8(_?-6w4m5)B$s^uvM2c^eR|+z03(s^KkUrP;rkyfkW5K++ zy05mcaJWX`IP_dXmqlD4jCVNqz1}Nkm`oGEfT#%S(~}xGm7qD*m*SMC%1-yX$ZL1G zH$1?pe3fhOUG{VkaR*^WBB;$Id+10^+)r9+q#^Fgr(w8{HwER#=SkmS9ymWHF9QD# zHcJ|mQr_cvQJ28+X&?-jc02e%1CJ(OBO6!mn1Ao1uP{ml6uFyUir=stO|$A5`SZ4< za&8#kbGtF?kRgqo+Ru5Vk{3J>msQj_lSiIcUh7;JXe}LdJ;aMBHOYZ5XQ2o;Z27~EkJ2bsmgof^1mS0!Zq@Nw{bZ)Ez&oXQdZ_cmdIVsi736F zb^Au04M5A@p08RMgSXcWUn7k&xagC9L3`OhK~Di6=OcUV^U9;#w%94B@DJ||>n6VU zde$8482}(Wfz_xjz$Nb>YnKa-h{c}23HX<-jkI&2K@dD#+lvYQa5!9m*;l!D;As!C z!{ixeH(Z9!X%y&fm{JGp8kywiJ4-7r7F%kIt4nPeFzJ_z=2sWn9QW<{^n8Kym0JK! z!Yl$*mjI#mM*3Mzd%~4p8r6 z;Je>@x2-PIsz6}uvR?743M;e#K;N!@vZXv{>%|vv)pCVBNLp`!N9ibx)>MLVnfngc zX;dT7gtfrldGk)&*xZ59RA%D+`A7HLmiXy3%97=?9-YXrBS9?|(+#?>%UzySr_f%I#*@iwM#3{6br!CFAgTz@ti- ziYk9gX-}mz)EViqljodwfEb{YbCp6b5BcStI!|vjElta_rXX;Qa;ZQCD&D^J`)zgc zwYql$ZsY0W_9y@8f0A-RgXLH~iIoSv@=?<=I^a;bU%3Kc8g_u%>3%kJKgIxiSGABZ z97gkLjf&J;8b_6A5;la#JU4VX6^+W)@SPHmo*A#@Wgc=I(h&euNbaeuNGHIL zh|?2APugy8XC>`VLQw3rq3^q_8 zP*QF(tUkzDfHbihE@1>1z9TsCI{(WlN0B@Jgi>Uccm$!o$4$~S@AL3zg*q}%c=y;8 zm~~zoc6>6?c2B6kjv&~$Ad)_;r;+TdhoxISNyGZ>yY0X8Z~PBK$4$9^_5c2l(JAKF zo<8z^ibp41ps!}sm2;F62Fk5oE;OFY=%@K7yqNT*7wXM_2|Qa zp87cyi2T_5Nj#QphDnjBvkO4&IiMB-rB%>t5B>7uGI34;CIB^fCCF##*&=SMQGsf= zSF8FWSXOV>{BgHZB45;7w@9+Ar~Pya(8dOH8iwZY{M~lAJM6~_s0dK%fQ7t7gK6B+ z;V!~-RH%B41x}QYY+MaK!M#(r^zu5uUl~gws29+aWFU)(NUK0=0oMYY0&0B+ zo+;}1|L*_b-%6O9bbtN9U$^bijtqxqavIhu6FBQm0nR~(Doc?UWCQwb+?j_=BT!;E z_m>VHpLx&tlGm#^xx*2D%3pp2i{5j{J43^qm;TV}TNCBjH^Jc zU>3ep7Kz_7NV!lRdd?^HoGWxSY_E(A`jTts)`l*wGyD#CbU5CgQ5Pl60bJ+o8I7+7 zoec~#Zcn(ntN2vhP{!hsJ3D{sd*kXdy&Rag<{&B#nIHP0;3 zQl09^s-0rd-{>3ppbocO?U9b&CLL>r;I!Kf`^mCp6VF{0?+96s+fExBRk5Sc=H8xv z_+R^Pw%c#MopN~I{lfcfDjG2WgWDgEnxCMYbnmjXPMwc5-)`Ny+unKSTkZG%!SA;3 ze*5+Iz3;r<-h6$nEiX*B1zHUARJ08DP|#LB1&P1B?@*Fn^``Q%Kuog?+F7=#*x4Jm zm8JRg3~ud?OA#Q55mKC$+=A1F-MMqOtpWHZVA#{gkJ`Qa_p=?+)6LDSY)OfrqiI(v-`Ugh1)01aV;=& z6|DKUh41j~+EWThg@b)|M$6_Qj}%jNP&8m`I1^FFdo5Y=mx zHbITU5kN|!z^WCaVk5l#gdksnBJZjklyha#GE1*0MWn*OEJtamjx&c=U;PSsx17Lb zIK_ECy*BVhc|1H2c-E6@jl+qaFZ`r@^9b=7)<=ozRrmqO;T&O;hILt*%lGTv@bi}W z$&>-*D|gH1y~rCmH{QfoE((+@({LKabuB4W&H1ud#Pd zxGU1r`$gj+U*NHqg|f3eG{i2TQs=tq{Nns#Y>V%d?2$HMi=yE^)uI}81+0&c_ltf6 z66q~A0XS_OU!3l>>Em&mIIwr~*c|d`I`i-DzVSwT<2&!R<=5}DsrlJ5eM;zTvm`(|fFaiCmi331n~@nRKfz zdp;M_3#z{wexFT#Z`wtFARFPEauEi@Pi&Ws+kijH%4#eBPB0L97oZ7DGUw1T;&}iW z`3#_=JOyo*MTBT@>e7J0A+rIUf*JJ?@)+F(38ov6XXlkNl3{D!;XNB)^3{>8>ybwm zi9bE8kqPOi{Cpq&+IyKEOaWYm*q!HDL)Cusd}(zx-#=eiS#ArfZo9OcA$Gx@z%rl_ z8U(Nz%D0D9kV%NA#>Y1yO}ch^yy~X*xYVAV1N<0W_;imj0CBN$Y-tBI6(f=Q;J>}S7;lY zlHhI(6VN|p|Z zf|23G6gjcbskk$9Cb!WZ3@y6Zu{ona^`@J80r@iym-S*n8mA1A@rGn|s!HTEA zN+2rUJ};{ep{UF>q5_5|05j=O#-0GWxDA-3CE?Z!p#$ZCuqo`uwZ49Tm){rw5)^o~8UweUS6rl`d=P^BS z_!voLjx0yqlw-4ReB>cuhI9VqUQUx<9WAeb@1$YgOFoV3Itxm+O}ifWzCQCueLtai zX8JkE!HU56yP+!3nPl@`fwO@wwKDHj+*J>hzkq{FT821>FgbedkN6F%!nc=jpK?8- zoXJ_>{R?uMK}`@LHfI=q*~L z(fpj!$ajBX%Ukf7kscbYt{P7sNJBZV`Q;_w4)vRkxyeT?NPBk1#h#v6NrWpq_*` z^1AehWnkG?S!dW^F{HST##Lq^ajaD`V@GI|=UU{LEo$+Tsz z?SYS!gL8=M)0xEMW0LCtw0G)cpIHGYX;|#a1&}qmA^Jg?hThs%jZ4Bi&$0JhI{z`C zH~p^zR7j(1KYP2mv7J3Y z-FQBuvtR`~RTFGd z@)bY2c<2yNdN>}Tj5gY*pM2cj|M}0`M<0CHKEL;Q+t}C)=u8Wj!aX8RzZ7DAoFBPm zYs61ralS|E!-j#|8n^|4Tis~5?V%6=o*ny@rM>nLVR{VE9FI;&pB6T}xNB=11?i{O z>~XXXsTs`sHiGtqe5%}z#|YlW20-&??N9&3pS6GapZ;n4vw!gy?dL!KdAtAN{r2e7 zr)~QQaqpqv;B=kh)Ge5MY7unbXRK>A#}(j$a1pU`&d zu+Y~~lD}$~{RdIj0wwi`K;`sk)Gh!m*4H<5=g0EBVd~xu+})*??KrNKv2yegv8MRvk1o(MPd#U{hNc9lI0f84XC(kv| z9e{T4z1{;_;FId7vB}#v>pB3bhOzWZN70hpz-Eh8UsYThl_5N35gn|O7|N*+(c1f& z(Im5`@je^F?gzGUYKZ2*lUIBkGZL zN?IUXdUC`ogCvv=GJ8td~sCY06 zD$4q*5qM=9%%m4|PPp=YiTGCR>0AWpt+d6J<+irIo{i?`)58kRx&;8_=WB@NJ_71)Jeg++{>XGbWH`N>oI4uo;guWdel*d9K--#+{NllH*}KX32-{QdSJK=$6f`|Z&09dp$ zI&2?)_Mkm}>L)4f-agKx_!U5KhFQo{pUWz*6c#58Z*K1=yj%20r{?Gug5l7$bP|1d zB(v<1dV-RaKW>jRgTXkp$98YG?E^qJA3trMee!wx;Jpvp$3OqD{q0}Z3UI5k5gEG@bxH zt7qZnoS?=Hvu)+3AwwlshNAFPa)8J5@OPLKnh`v%_#-5npF~su2#2cJaacI&u*sQQq8Ll~v#ZQOV1FgBprV0Jk(sm3Sdk--?%1(pB>C_BysrMSks%# zQLvf~xFbZ|Oa1W3Q|ae@g}TnAs2_ESjDz=l-8j7mMZU(*xHGE6GYwxFSA>8gd0m63 zjP|+U*4^4I1VEbn+WUSSKxa3wQk!q@k><%6z*Rd$xLQ~>MWgvFy+ZQvAggS5+tC4F zKcJO-NTWalUA&;t$M|P4l6*KiYzL$Lp%VckADdD=LxLTXpb8M)sbtg5eWz>do7w_L zJE?B!^*|cbNqzX;p3Xk}-g`j3C#P=ODPopU^b1BSbr~n(>X3-EJEALSL*>lvRUcg0pR*$5;llFw-?a{=$ zXJ`4D?EQIR-NHD#T~fj!4?fRcpaM>S<_th{W_78}-&$@qn! z3zEP;^2?q{Kk#B_h;#}LU1@J`xOwaPP5x(b5wfZd+}+*Ju)EU_cXs!3?2R4kVM>kn zbA->ycY1t_f0y%G^^U$kOZdj`MXogaOE{y9%77rZ4DvH@uAWSiJd9D``6-$8o~yUr zTPn&V4A2;&=mOk|#7hA+0Lg1|cjADjyUrrK+FR@)MVB#3g3qh0QAy|x;ld6xou z^UgA$u6kAzA8Fam{Lx1r*1Q{lqk|?X0O(2U{*Z#mum+w2afr)Fyj5s^&BwVnM^SS2 zcG?4R|K6tn%MaWB?hb{vlQ8=f{>Ii;yZ`V}yZ_)(d-UirVDr=V(fdDdN29$M)1%|_ z_LKKNYya}kf7G6Aq38xc=G-LbQ#mQ!R(1`cS1;J!=%78_1SF0fc87=1F-gAWs5G{o z1=T846_~se&~A=L?J2^f0TFy(P!4Cb;%CW|y-z0^U9NWlo=+Y?_s3&-D+x*-Z)NeG!&J&|g`?u2IBUXw`RZXu!NI`DW)!LU z<0ykUS`P$A6;@wzZg}OdlrJ>lt!SvgVu+eHaS8m&m;6`VD!>H~iK`zpmfn}Q0fIx^ z34oWRV-)t0##k$1Ipa}t4qC?E_u*1`lvlZ*_)=!xkubbBJhfMCFf_)W&(CrH2$}TT zzK1j@ION$GY2`~sT-Z!AZQ~CQc*lGtiAwm=RXBMApx{&+Y@jmySHX!Uv}$Kyb>h?c zTwr3{rel4U_ZfPlu4JAP20PwfBS1xZTkG}b$+;1C_SUG)-o@x4i}UEu)w}4gJ1cEw zZJ|vq;{k>fGqd4+ct$x)9WA$osar9=%0ZtWZ%LY!@WdWd!RDboZyF9Nq7!JgA6%Zf|3&?V|IJcDCEe(HQ>7FMG*m+tTuCd-I)l+VB72@3%kr zL%%xry>|D`-RKSTa!D8U$$6))z?O2sc|bfKPV(%W_*_Wqcj#x@B4A`0kg^OY2nba- zQ3f`+-+XgDO0nZ_;^#D%w>Ajp)b9i0L}Dv&N`IMIb~@Nr*nHV z|B|{q=YF3{i*06!BOuYK7*m9sFf3u*>A;@N3Bjnq6D;F*+85SV&;e_0^|jk=<#qjf zTetj=dw$%k-D_2FDOM=L@9pijpZ@e`?XQ3M!}h};{-}NM@#iQcKobhhc{m?` z`g!~O!Q=MXy$9{{d-vO;hmZ5oeZRN9&%0YY`|Zio?NWp&lNAKy76ngkvnSTJdr(EW zQK3+N8BQjz8n=A1ig?_J-hzJbgOA&v{P|zE&mKLk-d6HpJPyC4!l?8q6&0SjHa_PG zZIOlm+wl1`9dA)5+unY4hiBL}KmtWg-ZyD^yX8$jafRY@4^QWFE}#@=RlJ-#eB`{& z-OasrxPQ~`n9Luejxf6wm)L#O+Ge*Cld+ei5Ke)O|;?}K}7=Mh4Bf46<~(|hg7 zgIz%DA>b7yd2~Vk%LtreqoN6J(kUeKmk(Vjld-2TR@je4nC`yaAj~TrIL4LuBw#YFiPT8_(GlC4+;}kacG$F+!8=! z-jVS_lgc;7hwc%%El_5AePrEZBmbP_*a zC8x1)3le$b^&vFwJA8wDTlej8l<(!rAcSzw{asJPf1Yzsy1RiXU(a-%qXL-XnkO>L z_<_=5{Bxafo@nw#txkoqI<5zq0+1M{0I-+DZ zkBzA66+|x(hx*h-D90!AhsNk&Sk5m5bM~ldY>k=vj4n^9rC>=bvZwQIFKn54jiD7F zG(=|6P15XK%mwP8d-)n(qvp}vDi7Im=j4$32d(@L0D{Klkac(h56pk{P$@Gf=;8f@ zH}wqj8P*uFM;?uRVp6{N>0;>Rb{3t$uNl&tLS`=X{4zQMeJi)t+gtCx+rIaMAGGiP z?ho2`zVqGo=9_P|+js7?H9sT*xDaSs(<0=erFhS){+Nc_E?F+Xc1RKU2tfVR<`m#{ zrY&K&^Z}pg{dBIXe6n#^(tgt}fDgX(MxXUevmpQ#!kOg&NA=#IcWUPt6^u^er;!2Qn@^ACLYrIR{S`s# z3`eky>s)M%3RaPuS#Zeet+loYP!+7s0&E@bciyMN?|!t#eLfeV!`@GwbHQCnua2|> z&98I$S!{dix3^qm^t5ekY-FCYjW%`Xb?*)(a4CAhjvMPq&5xEjU+rET;)@&wXeFr6 zKZ3Tkk}1YW3K>ywFxtmQu?H#!g((Y1G$;xw0uu?sDP&hpp;Rcir;rjh+KRXx&hV>2 zr)1dSFnj%$VEP;_jicl0i44dg4bzD+HVy>zU_8oxoA(|7C_jGygYBt256XY=2%!1d zz4r6>K5Rb)P<;Tn`uuZOtOKNAyvYCY#&!zE3SxfWc>PZ3{_NofEd*NuRyq|+RVXV~ zRgAN??g}=9=)vQs?Wga3kfX-Wd>CE>;yhBX1*z##LowSb&k(wMTX7V4WKTudET@l; zPTSKgZt|0KHCNA`r)`91XN-cTve4FVXS_>o1I*C62E;nQE_3Tni0@QzSb}!|FPsD7 zw|U*}X0%7kdROp?AyU`?q+_l}+W^#!z4qwdllJqUeBA!*KmTF-+rN0Pz5lnL0Z1RV z`yX$#jfVjBZ8yd5hUjLTyth|Cf2q(0AAVCFQKXg)MlR1d`b@99McQPt$M~uyieV&m zkgE!(Zmib5?irwzf8~07k#$bJyngTMzH*z>#IH|pf#o&Gb@$cV>e2ALq4q=ujJ!q| z{F$GUnIVas^t9uK^WXbKRz7upHuCY=y*64HwR3>cX`^8|v)E=ctsa*SXW=t+xCcC#lz3@}KUwf}FwPKe@?!ZbBb2{o7Tv16C`-P>vF2FP2=qDU3F{GmI@mpdXMZsmBz7zHH8GOu|oN}oCA zSyfK&n&vW0bMA{E%w_!=Lx&|?h3pw>pOkRn{p2MpN7dhF!|}G ztG&0gXz0n4C+S|^g|VAkd)4I(;@{ohLwVPJox1=sThtO8MUC-F%PXE1Gx>k#jn|@R ze)hp9?L$DU+bzipD~S&rN^zCDG}+2m=>|L!zYB=cb4nT-1JkMDGlve&+6aJ{{SdkD z`}^>GW1m(&ieTb`e7d3@U_FTfOb;I|8@Cmyg&b7|R&?o|q;|W)T@Mo}KS8=H&WIn- zc(CtQ2MFWNC@bH#@CRIPJlJfXe(-tw>EFE9{_;{uk{}|G$6T{^rkr(stn6 zO}fb404$&P-mmY+`^6_44)(;Izz1caWJbm+Gcm>(FQ89;@+l8X+GWq63FZBeUxbWT&ZQOG}k2VF*iNw%( z-!mQ8gThd8h!kMKR0S=>b~+e(8|NE z4~)YndEAe9k9h}QT+GwU-*qRS?ez*^&={at%V1$ilAfTzX#fHQd)02%N$u!#)Sg~^ z-u5TAY1Gvw$!-iDQ9MUiVGRZA0fQJWw@I5gz`#sZe9i-|-t#QRzzEmZ$kavJJ3Qri4(N0f|60W7k@v}i^wplE_RQL8 zV(;e#a%=DBFJz*B1BIZ!>C$E)DuJ6XW7p4;1LS%xmob<$;6JDVKQ)Bc^nPoOA2!C{A#Fr8N>;jMts z9!!L>dNGw}yx{_l^_&Nk@($vf`JZk{mWCbo((9QcG)SMcAzOkudpkW>_tZkN0+E>q znqE+VsKe;4at{Dq08k1%kvpE%``BvYNSqGgi+2E>&fRoaT_8D)pPVnCIR)sPUZtJ` zJW&=oPR{W@jhHFI7=9jr>WX)_P;#EDyX!dB(erGL2Cuc12jg+=va`1zkg0czrSgK& z-N=Dcl&o_va#d0<>0osb@iN3N!kAKN3X5m7>L~R3T;p+CmKtpVk%DPP3XEO}qOMb`XJh$i7wCoi!eDdQn&Nc8EvIi6fL{mApN29iD@4)$S zy8u*8lGcE6!c9)@|9!JXI zs!Ssc38egV;4{dMzC_{D!&=_s7(k|Swd}eqmcLZy#A9#BWmtTHuq&@KsNuaVg-tjw zDvJ6y#Lc5@^WpP~gU5Mhz^gc~r%_(BQ9j>{7qJdKG=8cwE7}Kd`T^e5`}$f1JeRK~ zl>dZNOI*fX=@$@D1zG>BV`acQ@4cVw;0R9gWn^p=8TD0Mbu_Q`toS9I^lVeUHl(cY zncfm(WKW;qi*w}J1w=RP1Q+_9lZS0%;%DukJ!vQ7J;2V044?zdf9N7Z8aX{#J~?P@ zwyjfFv3fiLPe(7IVex=be(H_uJXBxWdu9X6-d^=x=^iRNWt{E62rHlS=@r#;oqN8^^WNaKl3W7M#Or(7EbKk?y}bIr z($^(Vlv}(YQUEHDw0ccaP5@8A>Lp-R{z)PWhyo%D1p2;ULpdlp>i|=l!Z-jU*T|FM zohRDof@blJAP=7p4A{VN)wk13`nf%)Jnvsc@;slPoWo*stVKr!UhT>Bo9=?ki%bQ; zo?98no8Ne!;hFn<&S&Mjdw>FX9lp=-J0Ns%c8U4))s_ zAa&-9vf`a&2O^b;k_&|0xOm{_C+DXTyeUAgfHQ!oK#yA)x$(4{y-Q=#B)v(FuAX;u zem}!0;B@u*k*n*+2&3Q=C9bgEq_a#dPo4Z#=1vD*TP9s0cwVw-gF-_#gryAXTj}mi zCUD_h4JAykXq{tQpg)y|cw}fEb>opqK=w}AlTqMI#b_wQ$@4m^*NrKkbu&iU75?*V zD2E!3>tS`?Ge6$DdZvu0w}^WdlVy(1bedRX#?Mve(~~|UfbSYt8I(>B596hhci>g( zks%X*y{`38WkIdG+KF=#@;*y4s@dG(|*5C1#65H#w zo~IQCpYkSbc!SS1WvX6K%EO&W= zVReYwp1IKx4Y-jYXQ!R)y5Ht9d3UOf66g!+I)}up(@7z`vE^7jp!O)$eww=K%`YCw zgDMM$%mH%LX@{)U-$y57Xe{CBjgLf2dP;=phyUEa-Z=4jN@|docxmLRpsWD$MS3S| z&NNq$;ZSLfCQO9}!=%wonn}-S2{(ZpyC$261yo9Iv*qsq*M{36^jY~JSn{U?vwhaY{^-hco7_Q@xo zv`3E~wB6mE7+;eyZ2^Wo(dIKdVT51kN5FEv0z+7*W4SZJp$k(pzunFa>$LjA5jgV% z`ElEkH5^k`dH&3qvp$WiwYqsX-5gtdW*ol0i|cqAZJ-9Tc* znaItTq>yjHXAP(LfiX^QuW$l_S(?h-b}$`9cwp~;zs6oeW_dM&BDL(i!3PR^1M^MIcKVA`wM z=a^=mDcDKyIWbQLd4IyRph4j2P`f)=Sl;P~5<|hK)NObl{Q>XIUkXtF0w-Hv&XKrt z)Mg=U-ASncK3m603!*eIncste>0PyD&sl-1Qt;{Z-~|aU#Z)f&Q1?}2#AUo(kfw8V zmSLp1vM0}7@Lk2Xv@nyFV_LtYYtM@BE9?PNGO8=3#9y=|1;fBZU6dNf&?qyxkTwmX zfO$1Q*DTt~t`*`%yMA!FE@#{V$y;m7;mM;Xwf#~m4tbOgqD$O0HQ*#Yn6)ofZByWP zNw-vhNQdfEM*;?bM!nryW!;A#ZBc zDSRAijQsDt5J>}mS{~PB`tqE=l0{3rWFxmr=UzGPSx!l(-xyqvCx^l75~U&`Euq7F zb)`Op>)wO+db*UC;e4mUSAOJOhL8xSX|{#z@RGw?ZZ$*gO&pbfjX_0UbB3)yyytVS zjWadN0QhdSE{W57hl~h1%z3sl;{5fpk6bP2tL)HnYuz+%l% zG7Lw#&tVALeU)w3KRw>=OtQiZdRjT~p3e+mSUqWYtqf@g-$y`5A`LL#7~-pK|3<9f`WpP}7)!2b6iui!2@{ z@5-}sDP_hZAjQ|VN`S_k101onQ#6|TCi8+&?_YjKlX&&H79=_%0bq2iB`QU294`R1 z=Mo!jPv)%iI(a5-=^1sX9$<=LNB7th3Lm9=NY4dMp^0aH)hv6B&H`kUCjm8apj*Wy zqvHqx{nNz@J6!$f~t1QLz1#3&^vDE)FsdH*v2X-K%i&agM@NvD!1} zsxXz6LofTT4%^*pTX+>0@*AP;l`*uLDVz#z@93~SMd`VMZ2R#OTI(B`Pnup|f4t|n z<9GKRmaiTESL`--n-$8=jpOZ^tV%79EHi;i0bPY_ac-%tEw51))!n{!YmGc2ytc$q zj#+R-aE)c=`T=TVhi=+wX)J&Er6H9+UZ?yiF!L8>2M?950w=>YJ{;zF3edFI7BNmf z++Z7x;-g%jYYh6cA)mc$pOJ;U%Qay$tjLkXl8zO1XdvVG$IY&&y(q=)xw2#0ch_Yd#SgVRXrookPNok<5^3x4Kzh5A-Bur95w)Gg^dGtw!v=W2z zh0-*j@en44n&xzh+OBt zc{!!dcf%%ay7a~%BRA~?c%gsz9i1GsM;9Nq@xpctQNDUbK0J31$sHPxTL4anunu?5 z+vLeo0Ga%dr;2yUZ^=OCw=OK>THeSPw?fHi6J;ytj`2W0T4gdMjO5JCE)Wl(*bx#M zT*`s^P<<{h!`q}=V3EiMKRE75LQ0R5oTq|7JK^AZ3DkvrAP$^SI*0b;T!4EDkCb~$ zzxEUqpcg2%jD24DoOMJ7`sLYBO;Wxta&muR(+%A@k`I%5_QNE#1`SY(DAHG+f8d?MPUzk!6m3)p<6Omo}(L zqXpS=6h;cwhaSZZc1T=yI^uzNyZhGa?fnb@CEVoj zHKF>BI`vJ1F2>*&ZNz1PS;Ej*>VVS)MgqYC z1M*0C-FYv@kOGi-ZhK^fh|2Ma2dZfG%dp}Fq7tUD^mG76r%Do?=a zyDo|`kVEJsk-1kIjm*j5xx&_kIju^RR0(8XtzPj~Wf{VSSsFSkO>&d;d6X6Ku6VDz zmCi1J&4*q1p3jFNT|Bi!q3i>OclJhAk)$IbP`ae=KAHB=3ee^}xaZb6Rf`2%Ez|dV-~A=9F>}oM}{U(8-f1 ziw-WxPcIwGx%{ihQ}7?PQ9XOXr}L{-UJr*aP1szw#V(0 zc09j_@`ko4a!bWK!DtKm9C8;F+5l>!r8YOY0&l2;)MNJ=mH`@i^_Y#~^bV3Y%Um5H z)7;L>`cTGO2D%eQHB|Vch>$&WK!Hnn3utIGRVUUW2nmBEj7Z|X z;q)s@w1_F_&F!5SzyiGW4v#}ydN$!x1R5Ttmw^gsMRB_$?_b856uS$@vuaZ=C4Tcp zOZYrP-wlOlg|Na;1ho1McxiDiqUmUi{QA%mG_JWSF8A;p<(-DV7AA3o7Qg-O>U_Vv zbV54EqmwpqY8;k>Ak(=~@@*(f-oNC}H{iZ*+Vb{!*UPD-QEu12FOIRw`xkYc&P#et z$FzrI@$<@8nCthDfXip~TyQ2u<*5hAZ+h`UCt(wAh-+|{@8{r=I5=F!*z_*@SHR8!70nvU8mXq*4G%Ep>gX_b)TQ*vnyY`(S2ch zzh*Zvc?JNq0gNFFo#-uoPfzZ*joHuJ%w6=|IzVP-qKp~g>Uc|ox|*JNxi;|4?Sg%i^xAi_Pz?h zLWROci!AT?t5WFnRJhVxgPHM>SEQxxbF@T#6Zsw9i=0qKiG$aSyFW{h8GJHMhx?_^ zJh`=#KsX&5yzku9h503TKp4~K^-Rqmj*KMacbZ*5Y6EOP1VUIdhwMy{f44!h@g0E8 z?aY-U+&PBz#B@yu=G4|UF0jyW3kC!S0tV$>Idq|rTgudT(XYU#pA&TGy%t#5`>EVk zL%wWY@7=u=)*E!;J3I^5EMI&8T>vo0p?+Cb6>gxLf0j%6D*uur_hqaGZ}P-D+V1pV zrhJl+MU?CYgc@OP6T9J4cZc+bYmZm1?(0Kmyz-N1>m9=rZQkOTdFDCi0#7a|J7h-M zq5E7CLWVgs|HuV0m%V9^-Q)TwWo%hnSIJS;1>X^XA`1m9$+NwgW_^gQGFm>L*rh%= zmpB{E!>{;(hv|`(r`l*SLkE)qpn^|9Co;_YeTdsdM=mbv-(Jt>HNhmVX3vUuhuDW_ zZi(d4JwgSh_GD)7Ps6S)0XUc11UP7F6@ZDKS|uFbFwO<-(-FVQnT3~fW?Yng=guu! z=(ZNaHkgY7O3$WXl9mO9;V`n!A@tr_5xhJjAGj_s9_o}>RXSWK0|LDaW5aBF=-ksx zXU}E?ABiwr{~Ax!n*t-PgYu0K@{WL1IwA`erbmTe<-oi4WDPlrpepq1B6`A_h)?!L zZk_Y&@J7!=cc#BeOTm?0Zlz?eg83nd#P4(CbQ9mS&`~tDlzL?}Uv4QNcuqbblvR5eG;zr^G_4bO%$b3?eXQu10Og`7g(Mo9A9_JnX)o8F~hA_Fh5B`t5aJgZN$?zoh$h@~KFCmQd@+ zmlH2BRSTYVb^qlYbq3k^qWnEyXP$S@KUMaxap>I2kuX5{0<8{WNojBajFvpn{Kz1EtfQ; z#vSkZl{c-<(|**%bkLc1&?iNyI;}vbY50E4@AO`EQWVIo^wCDqj~aES9hjD*Eb2=2 zmvIPyOvj&q(}j;N4z(AwbSFFz*4twnkG@1t`Mv0k&5ict@uRl;^l3ZU+tX=)wOz`RfM3}v z-gPi&nJAO>HI2de@!mH{Wd&cdUNWZdX=$&nyDo#5 z;qza+R(aw<0A-$X?sKKsN2XgHE#{pt&|e=-A$`sRQcauZ_M}>;?D@QG;Brsd35LPe zMt%UD0>f-)#Jw;Q@85AtW)!=Dc941)C*s$||IC z-qZJ+!n652CS{v2>De6DoKeG+^W^ekNOwA5Qvu!B>c(OS$DhJt7<)FoZzc7qO5T(N zg6`cWPfgc2>&)}IcF#F`HX$jr`q;%hncU80J}X7Vw!-*%LHX}}dopGfc;d1`nSc2v z;Egemka&gvJUmocjt&mn_{hAU!h*G_DSqovY~(x@o1Q{+t5%t#Xk5tc(`_ ze_igGq`pBHI=cT2adN(M|BFgNntxOH_aaAi!yq{grxxB>SKQ9cx;Q%BZ}0E@s6D;7 zj{&%7qvQQ{|IvfCxkH1MhM`IwtkMpiF1D$*iUKb~-E~5YF}mvfqV}b%GAtd+-N>^# zEDg<*jI^POADk19-`jW5Pd4m#jvOHlPWIa&Al%PtsvwsZ7TbJQua|vs zi>t9CJ;{-V+5E_(0taUkhwWnOkmmq*fVBC9Y;`%(jv`1Uj{`6kHxy7- z*2{m9%QNg#-Whyc$l~`Ie2%80Eg-Ssoa2^9TIbJXOOW{d890wm^F=iqX z>^NlaeYcGexXnA)00rWHd4j6is9hnecY^$*WD0B+ZGxd|E7A3wdo)#P$O4O`T<1&V z)rCnZMuf^CuYG`4di@OQ{V#CRw*=Uf-tA$&rr`q$dB-%(ms10b!g!_Ep$6$NKYGul z&S##4RGbHUj%P^+7+X|WA;_bAHk@G8{HNE%A$fVvuMcVDCE}Nssx0!)+rv3tKGpZv zov80tPn0XdE^x1@1Q*S39%li8l_POfMbE^1u5aFj8^5F*c$%|v1M7cH?pHzcm%Cqz z_TlAUFNI&`t|<5H*INcR;{;Y3>eJH$>PPhgIk(y&RO{8~WT$;R`kS_Kb{|l+4RCUC z;ZY<~Lt}&Tc%M3a2IxV9X`YNv@ao)0S6aJoZ$P0HmuDIW9W^yNT>W4jcckM8Lzq?Q zY3NqHHH@v!Qy1(2A~dA=-Z$@+DpDGZZD`D=&I>>agp^Ba`A<|yGm9}f(W@gSo$sA6 z>Nx4rnAWFzjYl13&!nr)vxOaZj{t$=!_g%_GWw%knsYc0(2B7iAMT^4_p>-eeWdF> zr@nUz7}qH80qg{uTU(oLZ+Ext`pG_k=MzBZp4%FM>;(zxM~5U=*VfzX-+HIL^S$r2 z*WO)gv#(Qzb33gq@3zU?`)&4(gEs%pA^x;2eoFv~Ef9ddCIBTL0MNNr0VqDhn0=0& z^YY;N(EBNEM>GWT-S=;z;*n@S@a)QyC%-%H1Br%pDx!(d(p7 zFRg~x^>iZ3hU2zi%~<=Fjg%8Z2iWl}=|M-|XP5_M0Nlgj4Db7K#zQ*c%isl`_Iw`V z{g6a}xIB_B^CvCl7a4HaU2iX@aaXUhMIKmFao*sh7w=quO!|p zCq05dfp&%&e8@4Yr^!U-V-mmlv*NpjkGwZR^DfXWT8bWxTmfk5qy606EkPte4S(hlxL&fOT7dqK44{y}{(iu#l59iOi9`!Gq z!mrX@QEJWla`&}qzUlIM&ZRd`r89xyY<^|UI^-~L=?I5-H%}k7hwbNWa{Z*;zO#~g zZoRXB)T>ix7>u(u>ZiI%&}G9=X{~x#@oPBC@Mpf|z#(20EXi^$6GMD@`eSko0f`LlYS5KB_JdaY~K9@C$Qo69@5uJ@4$#zTv z2lSLf=#G-PcV>pe4a)nyH`gm^sxR*NZl#syNwenZ%Y$6OlYAq+owTi;t!!Vky}8kj z1a$#MCv6Ad`S8=vIc{a@k#<9!s-E;KFUz-YwbgfS0Vbhje$-Ab0JRr;H2P^2OzpI@ z+1=KbcH6}IUYoi*0)QU2g?EnI!ne*iUbOkQun%tlK3|(|bGOMC;B#i#AxqA&b1vGj z2UOr8YeM*qJ7uN3$;X}wgu?eCsK8G-`6Ecn2JG4jC5n6H3+xGg1e(UF9F+GQY2mr@ z6p%?8%7n6@{SL_GUe*)jStKtD2verrQ{L(6Jeumw_9)4lSq4R)m^RJg?kJb_6qdpbroX^@4fv4{XHoLF;gyVjuga|M> zceuUw`1BqP5aWG;dvS>8oEchOT?q)Y(pNzl&13+Rf@OuZ!WY==J)0;om^$d1yr;|i zm*<1$JirLvSZEGoPfw#X08)Ow(ZXL8W%JBoTZf|Er>p}W(@t5*RD6#&6Y)iqxXi!c z7a(Wh@vAw8r3j_h`2D(1dLQehfHr$8CC)fa=Xq!PE@)a@SjeX-{oG{-ugM)R$wyo3 zR;J9egg5p=TGe6^}yUo6J+TM6~J&Pe7 zy<0#Zt>0RwA-mQVChlO67kQ6(5?76$*n4MPuj`6Soh;BYesxS1#MqJ)kfLWYRGgP< zp^&SpJ^Czu=-m{wc`of$7G*-z9L4>?8&@1!mT&Y zxygId9Uuwa8MQ$d*^7I2ZZFPpo~hHy=o`*u{T&?1RcUk{9s2Nmr#;4DcMaQvqn( zYiE;t?R;hrPzv}2fKIND+VpD&ZT8LT{ahG&KNsGbZ1b-JKJPg96TduD;FEF>+iuv^ z2xWP`;K=a)BYv@mV;7+*|^&e&oG+*LZlJUx21%O$2>9 zmtV`WM_Z7o-4S@!5g&P=d`(}Ua`u?RwKT3=52N#0fUz<&T&G9VR|prmCI07q;^5Ev z`i#xvUh>YhcP@F6^MN;}HKgf~d(zfxe~C)~oH?K_PRni($R09Yz>|1rR5_TC9mC|g z=T?uwyV_kK=r`1rQ@^hsU};^k@O)1ebC6&cCAp$KdwSZtDW(um+H=Xhsi`^_h&t?E z!|LEMF&XCqPQXU^^&%&UFXb%Ywe_`Z>r=CJbbt>yVb?89ln7`P0Z(exTD2ewY*sc? zAia=qo?3Xh!_h*}1@Jk6l|puLkUg6M9(x-FM0N`sHgghBOx^U_W!1ZBipOs?E z5vewP$csSe1f_yMSE5%1vjWsG{sF+&@R#)WBhGLEX<0!9;nE{OwnsOt=Uw;N zlQ*f*QRLM-5Ca8)=F2GuwiHXLJAHsuhP=t!ViPEZX3a3u#*<<9`Naq`-$^B9eop|jsdkJ{C+zE zfS$B{z~^o|pW12Xv%BqLVHkeDvk&+@X!GAXZVT_8wWW7kTl)4?TYP)E&Az4~Pj+t9 zS*8Jq0)9I~;I9DGdp--`gs)1khSAR%%cGJpI6cTvEJEySl}UoRtTBeV%1&G;LCBWW*}(CaG)b^z-gaBj6UF(YhhcEBfq! z$z^25hz*x>!V0AAoDm>aK3p6%*ug>8cqu-Mr@5@ooFPu*BOW5;%9`fSw<=C;syIO4 z>4z0E|I=R4)IaL9Q)U336PMd4LBA{BtwXal)a}=lF0AA7hcI?bWtF->5;?bl@Qf#K zRcDAR{HXJMo$PX`-33Dqw+l7}pZ0LpzOyfKFAnjXvs=~8-2G~ULY4wdA=$GDsFG<2 zj}=;>bCp(v7B8SN`17s{K|j{KNnH(tFS}9-Mr0-W_$W$e0iY%TvhwFsi7t!@DKJgt z#nE?5c~(I?Z_&aG7?p{{?{l4LLt>69Gl!7{Y=UYV5VFcRoUfVQ(RvNnX}xkP@)cSZ z#|HfAg>{e#?dk$=l^xg4P$uwHyCv|(w%Jl5*>T71Pd;1f<{e^0;mHldEd=jc=nyh82}eBvcP;-g1vFXt~*W6}*G99I~y_l$huzxOlWs;&kHscrgY;04h04KfS$NDafuE_P)8l*~Y7%08}zibM8;qe1`F43B@>~8Q!T*hexgvem0DRkAC*q$W&~-j#q}y z5}Bg*YGeRf9PY2AXrD0l817<6J#pzMwS-={=P~bc_zk81p<}W|*}})tef4UqzUwVE zC4Ee~jY~8^MaN2F(x~ryZ%+I2Er(sq$?lf6cv(Buz0I|qrj2n{I_Fb~i#a=kmjM$! zHRU;-Ko;aF?JWLE`qWMK?pK2WUEPVps_tSgT;bteI(aG$YE3EI1HemRK_Zz$A792` zHz2?Lf|E}Eqw}_EtfBFHV~5v2+rQI9WfThOzk7_*jiw<8U9RS}FZ6U8rp#-*5#n>+ z<-#(nG$$|#16YY*tehspHvSQrJc<6EUMLsOx5<{gV*F9QAGxdE6Xe&N7zA@f57+2G zmHS*ejnUF+&*|j6_qEQL4t2{j!MaQCFEk`HE18xq#FYi&5FaP zyb|{UkQV1JNv#>+?=Sje`Q*QkIrH?gBy=!ff%e`U6CY zMbjL%WE{tIpi1hX^sWnsmY>Q>DTua?`)bdUnSJ*X81B&7$%6fV@!Q5V6pMDNRVN_{ zIRE`-kJ8VYxf$B@nUOG0-pP0?7u768(v6OnRBb(XZ}5XC1G>xh<|B*1l1xXcwa3wn zl=*Z+b$vFS+9w7(4&y%`FSDLRR@d70Dl@u3Mc>{HMSJy(ZB+dMxTVgdyYLp6BJV~N z>o^Sby9jBO-t^Z!H!v~+W|Cv~(q{Z{e=0lz8h0T2nW1|0zWd3$nPREro|6#?n((!m zD|7PVNupA1$!76lk#C(sZ^Nu7Sn!k$#MPJ>0^WV|RIvY`rrvFsR9s?vg;yYzqBjQd zNG*ny6|!S^EIF=3$B`Y9yI5^rUYE)Ff(1Le1r7;?kgvnEd;0<@YQlZl*e zdCoYv4AkXYQMG}sf7C0dqBgkX(2i!MR=U)#e!vnu)@_YIgA@vnjdYe@C3>HMflGOa z6HWnhyz0mki_@2p5~P?fq@ISPM$q*E=ct>TEmEm{dI+3a)a|;$ZEgfZ>kaVn=IN|K zR@*#`d_XlWgI;3r$ZA$MZY#h+#%<+ta3~*#WA2O(h(mOhAMuk$x1hfE^?8+J7lHIS z9b4UkobwWG!ctRy@k)<#?BbEKe5+5kM2>^8=VXh9x8wm)MlWOnFAR-kjx60Pr~Dfx zs5*RNwlAwq{-@ox>Qjq{c?kY0s$=gN9Qs-pX9u3D^A-3*8XE1TI`96tk^rTdCx2U~ za0_nzmMG<(?bO&+D-&60x7MM$o>z@i32+bmgwV>~#=K~b z6X{z{O-z*S`;@A1`?2O4$KlKRQwI}<9E1_=R)QxO!sUx&b8n1g^V8ksCmc{y66>E> zrAqnVckHABdBjeWA;Yf2eH=i;%2fRPG7uHmAsLr200iE;`#uN|8G(^1=ySIO%B^6j z9mK-sFwdJlgck9^>uq=~&3ra*)JD7$vA2y(rWNR+vUgmJZGtn=@1|B5MgPgn0I6lx z;`Hs3s*xS=8Ag>LLAn|iq4oXNnK|XRlBqNG!G+ zaMbQ3%k^lxs`*pwx*@wcIw?a@Ld$TC6?aYQC!kZ~SS-LV*pxau>veO%9FG(m_!Sz+ z^C@H1I3~uP1u=U2>Gb+V*+0mu=4X*6#$H^~v_gum-=`ag&+n(_yX4YSb22%_h;g5N5j%~1*=*@vsVC0Z$_rcpM&t=k zpMB_oEQAe*sf8%5{xB@nM~lbo96|qa2}1c0D_;ZVNc@Cpj9Q?{x_xij0ur?N3e@3g z{?Fy@5HWPi8Xq<^pmRA2CI!YZq5CX#&%ulqRc~m&PCqM{rK-(5b8t-r`%yZcn)*sG z!o5FrObxR}q)+Q6IyWU&&nU6&jgrHFNcujt`ul6x>T3|w4ezCv&5?1dPa($@Eer+q zPZf1e?WEm4y+)@4oM-Nn((^b*MgTtz(&=t5r}u)W#;;2;Y!bh@%hyFr@D!L0UA)Ou zo-<);5gRRWIv0zZ=!8X7WxFYseY|bP5xAihy<}UKsW|b0Oor-jD2~_}o7!U?vU!O9 zEN_>8FZJ7d-@oKG-<}0!HPgAD`4Y>#dqh}GJT1Q{-}gTEqGUx_%DYbaZ)?iadB~8S z?DbEtkzC>>I%&$wh%fDwB57%N%Vk zx#uaH>-ak6m*_vLrS0oCT`-Vg8JrBshHxJ3&d+zBUOXwqH(;aE$(cNWPMrDY&7zWC zN$d`aLz9eCz2+#mnip$vxZ%|*paOwY%LP(qmW95R)94&V>!H>rj+S7__R+LkuNt6t zCXGspmYBfyU_Qb+xz=>CkX>%u5I}zJnxM~?*|6>z+_{|&%#?GpG|1uO!2SlDVR<^T zhJLm4xBj&4FRni#YTPE*X2rboLTZXLPEM1>lu+xm*aF{2U8WN!HxE-G=^^XrTZwp= zhm5|DMrKGCa?kld{R^zvSQH#4qt4T=d*%(Hd8c(cVA8l-X=xO+#meUZaMycP; zBRa8NC_7^4rTx%?lkEm~qa0*NM|3QWw9H_DL4g%!w#QP}H%FLCS-{LAm8Bm=`W6*i z!Jv1v@W;aQ9Pfy${-wim%1KqgWYCZC#2hLgs`7Wg0 zj(X{&NRqHxx>9A08GeezOMSVao{7E;aMzU+=Vqf~E+40Ep&#%Dx)ciL?H{X0QhIe*mw&A{>s8`}Sz0xB@1VY5pc9~&*PRvk(UoAWb2mW}Nw0yZ+A zvcHz>_&mJFfG37B{=8wE6NhuiYhAfa0l#W%jve+=eZpd_2bNiDgTAKdu^pkIS)p}{ zZ^3K&$Bk_yP$^Yd$hP)8r>#Kq_-43KMsc2T|2aORdxuqrhxu!c_S?w!C?$`U_ZKaZ zFmwiV4$@JyGWsItoAaFcg1YZq4PU%=s%u+-0YkFcZnEM28)mjsnV#UTdUs4&5h>>_wD-iP#C zPD*;(U5u1^^REvsA95Q$*DBds@@)3IOu{J9hts_FerSf`x0)rp6=Du;jA!j&*4nUv#`&Py$sm?R$y_ViBpag|K3if@m; zu_yva_T8{{ue~YQ-XWS@3oI05=W5I{mt(g(dgGi0=@`v(#Z4ff4!nJcX&?OuSnp5^ zR1Lxa#-rX|d+yyBo@}JM?!PhLE{U}|Qx?$;FOIRb)#?Ypz6d5P3Z}Y$pPr-9Y>YyE zHEsDo5?)c2GRYd8w@bcX;rbi&DK?U$H~wPS68r>jUs}AxwKZ}u+_{TP&JMC-k8UNs!oAo)|TNRmoq8Zz${}l z>I_`UBvtmFr5x9Wd&yzd*ulY>wK)#PiYt~+e7%S{;VW)`8mE!iq;R`fJY6x%SONz) z*O;w@=3)DTiItCMiPSR{N_h>ivh(}hNVuUBmQ}0sMgSH z`liRx&FASKBX8f&4)>^==2_UI$8Tbw1jC8AGTZ*M@81Lx@#B0yX{;$08&sL${b*94 zWWod37_9Ap%|BvwhQr*jC=8!+U6$&_2vIA^K&IFkK-r(A1n@vKgwpov^qZZ+Fo??=N4_lI*R zA7Ss4uWpXg^}N{eO>4|XZlq;^msa56i2^m{1~>Cxr;HU(ZI(ewVRsT7Csl{O=gmW_?kCrPLKqt2y@Zs{_zJN(ZjQ^HsI~bs$(vxbxPMyJ)aJ(cU}9?A zwv@KxOob5eX?d5)pEPi*0QnXc>`m7D@-w_?0d(DZjii0WrS2Zk1->KGd*)2%YT!YQ}1qruWG3d|wq;;y_5BzQj4lGkcs zy>51dTF1UfmsWdxmka0I*z@0kn z2uJ_dPDL|%GQ?PTp$m!BmE2@d4gXRQ^v>Q!1h8!Yyl5CcdrtD|(T5b4+vBP_58;8H zy(GLK94$7>cjs#G{7d~Jg8eqXY`UExhkUl4punxA&(eRhf&6rv4UD=Q)F&+KGDQSi zB1aSreP|jiUj);z99Lw>g2-j&&AgP&d#EJwT8ZYLOCq5H>$yiqPm++2ox#79jW;5}qH)~S5 zCP}h@??k{1T}7d;^>2yebuOLyS3vpp`FfMM7JOdHhz4&q2<#{0J8Ng)_3As?K(iv) zV`Dl=otPPH(2yP;+n$$FHc@6aXQ8cQeN!=fSTQ1Y9Hf^B(5YLF$)j5HgZp8&B({C~Ir&{|eyD#fYWn^Sy0xcBCsJOcnWq(zBNP3cHqsbnI9)%zeo2gzR=trh? z+Z-wBJE#QFq*>L|n?AZ=h56Q~rWVP3c8quzVsY5K3*q4CixPBQeHT%U?YE*c3pVkr z@ej{S(U>w&8Tkg;TYv6P%7V4n>YuEA-Nv--e^T(~goXtHg z;PKI^EtatOuOExmdZ(^=y0+Nr{jwGy>yyYg&9*j^$+WjZ!IJXkem=Wi->p|=Y7fqL zjbV&R=mW~{UL}1iYA%rnA5TegJw%+0aKD>sq*sr zdr;aGx3b_%ZS3Z0!DGB^BTk4a9&EZ&;}~y(*tv25A?j=OY_+*EwlUc5JVZSmr3PvJ z`HJt>xA}R3v!OI)W?JrJ#-|fijmG$L-`TbHuV^}Ts8$EssjyVLU5)nFjNkbUc6eB* zi|oDJ%YKz-@uQ+mYgU~ZdHJ=NOTM+No6#eyH61%g$AZ5hN`K#{2kpP!z-)eSs(qeu z{UzajaH8~B<2zN{ly&EQw|$xG-%W!0mp+x_AqO?8ehezB<{1{ex#it|RR^AWsHF;d z;;P_M**v;^l*62qjcj`r#GOxidkF5u8m#r7u6%Qqlf~7YcTXOWxF!nTP4wMM73m5P z>~I%ARtL`p$Z!>TWMXu^hxod|eqYK27Z)F?XUX;J$u5fhQ z(_32hoqPx3i2hV6AXtgxBRF~3j&&(;&^5#r4@0-92+dZ*uP_tp|6qzYC{tbLI7o!V5-*QzcyvA9oX4c%ds~ zCl)A@^E4_D%Vch2`YrfH^0YC_e{|FP_a?_bQSWHRST8cIc2ulP@pA8_PpY5lmnmnV zlsDNqsDQ5@29{vj4CSCEzpq@gel|I|qzNG#M~=_3iY5Wn9nV3&{~RciQGbmS zPZWNz*f^(U&E8dk5x~26uDLo*UBAC;7w^gaW<-g|pkU92wLbHv+jYa7K0H54(Dh$> z=&4(tDc1C4cd6y`-QuDAFxy*0Y^Y5kpIOf40mesVR zY<2BW5o4G7nahtxjAUIc=g)8Gj>cO0y2Fz~qo3(Lt{`+7;ce^GP>P|y~q4c10IQ#$d%`%gdgQ7MvQ_!;FJra9o-mLC-r(m_sx-ai8OG@!@ZUR zOXk2gi5_QDc2P51NEQahT;V?f-1mT)de(zN5LprJ;d7U)>F)K68yW2Un@ttRhc2yEd1r1L#$w3i&Q9si z`Z=S2OI3~S^O1Ad1vO>(9(L=3(5ENbRpeejh{uv>BW5%tY!qiC*2-_o`Ehl(_Bh`V zNS_Y90s7CTJ^NeV^)z$$LOIV=HAVBW-9Q^ltSDJH@Goio#IH5-+NiM#Z6c%+hBREg zl(|h1{P&D}JI1XHD8ts?fS@AvbbtPa>&U)R)${;7X!K0^%f_p0@Z2!;v_{M5OT*le z>RL3R%#A~g;?{f2v4@-djparx0M^Cg>xKEPhU9fcLd>5r7dy=RHD4L8)&42;2kBIL z_PmO2bjx{awO_#ozpOr;G%tJ0Kop$jUGKXsQN%$0k(%aXX-*~U$+C`}^v@wJ2HnO% z4F}?z((2s#oGM)RRR@!Ch9oh1vVVefC_+u~d0ODGIyC zu2wEPYKTqkhOU8{%a-%Rk2C9Tnd^ioLQ#5hWONnj^8l4DZlU+SF9R}+3P6Jf!@xY3 z+sqgn!ePRr(A1K!=Yr1UUtXZasfAcx<~%&eg>o-m55Ff=sa=TZC7GS^21k6 znvO{Y>UZUYuFLi=+L!;W&hcn(84Rc+e4|v4nhX(U2N_BaS$x~&n@WCtEX99x<0+s8 z<;&RW+xU?HzR`RXBzu5)+0nVhA6#29E2B-@aLWUR^S8;nQ`0*e$8(IFI;UkV6gq>G zL7lHJQ}sI8%<;CQF2yBJ`8+^pzF%^$KH(eQukgEeK9)DDkA7TDR^R`G|K@`*pXXab z;M_|F*;2SJxr}Lk(o2h|Ez-6%$qCQ?r>jWBY50{GWwBnHq~0I;p!1v)vk@y^(x?HV z$-m~IM}G!0oc7y1u4jI2L`lls&<(_rFylwfF#VdiEd&VZQs?pMOlUGPn30QZZ~S2h z%gpwUT#`I|=AxMFr`m26$P2(QP_36K!Wrgzi-g;LAK<;A^qp|lGR(>ab5^y!W{Ja! zju@M5bcWq&--HI;T`rN`51C|tfaxgvb;ey5ucjWw9G-?xr%IC86 zLQRdyus!ML^YJ(vmikt0(uD4j3K`BiHNFtz%YVfeL;u=>ML0gx4uXSKrWa#y)>C&2|7|EEAKn@yj8PL(@sX7uBNvNqB@aJBZ?}+6>(*T~2?TDXzehEvj=*c|@I7J;Tnr6{t1- zB{BTTXJ*u+W`sOsPB+`iX(`F;X!8@i@q8Zivt3%2Fzci=JN4gp;ToEh%qGx`q^5HB zZm>o=&I?W2T1uw;@8^XJ7^*<374R~T4R~b%^v%$_*={?IUEACc*tN6&p70aIIpqY; zhXmBK{*&>NR2)`Ww`qL-l}2EJmmv5^ygT0&USAPFQET@y7G&~xnBlJ8ur*9_J@i7Oq#*2>LKX~SO zTPQl%Cs_kX;LYhafq}wv3Aalv~_q*DHat$}djW zKhkMP4n<#Ft#4jDf_$4=8>hw**ulq44Kdp{U6pz=(m78)NdIwbiz7Q|^>Ef288#TT zpyVZUgiFX8f~y20CK?_NBc$Zylxv9Oys`3ia1<^d^B$-v++Fw!06yIz(b=`8DHu$8 zWoF(H3cy;l-hP?ebwu}(yUU~BEj9ULv4Vv~F-Jx$H`@Lt<>l56QY?hJn#2LvILw-D zt2*41XH%tP;p+6k(Ih-j;PTttV#R%T(tO2ys-lytVbHKc%=@w{g2X3pwkv4G+?joA zdU!*9tkp5=vQ{~GP=V1=Y!O7_ALApbeq3KR)euazM~2PJMpldl!`a2XilEl!V!d0g z6IxHOj(UN9qt`tAGWghae$P`XEG`{tb4S(k^w#x&1j{>-!qnKI^0Mr7+9x*MJD6dJ zEJ)2%lM9xc;5%?Lkbhj(E5F(lYtto66hpM&rQXpo2$Sq{kN@;yj^+y|VYqtYNBlL# z9lUJIK_QUtPaAgubFT4=jBg~z(on33Bfy6>2b1^m1dh6|G{t3=8H8l z5xH{(3$rMhkg>uw-V8As^6?kUPc(!~(Bg)ryrqj5gG!`v9pv2&pM1%M+AM*=ri*-w zI|GL}+P%+S3*chBcvi#DL>q%`!V_F5|A|$JrIq;qs(T*!+NbKLK;WRLX%sIEs!?~! z38_$egUBEEPG&tlc`RQfF9S5QGdr>8sP{mvHB_a`Bb4UQp@;i@ajyXV65dx9X;gM~ zs5vI~U+Uw;p93P5!nOG)cXce6XkO0wyh3jMH> zc-1#YHK1YWYo`Q~az4$9SFLsb7CZpkAlqfLAZ0H1o|V9%s{dyJZWGSggY$J2F;S{tf;t`Gbh+g71BBe zH6$0ht0X-6{Yzuxb>L>za*D+2{^03;|PV6DcOpSu0s*;#4)-0`#1lH0VX7qbTh4>0HG(68Kf2R%-JsUhUwpk67#*p3hf5%n(^G*&hBVsU7_Q`-3J0n>;gT zI+T|Ax5`Uk3n{pLj!Q65)?hmI-%*7RrL&H*f~|Ae`4miOX47tEtAn0oeEMHR8P30Q zn}7608Vr3lQtF*`St9hqk{spJWN8%3ggYhZx8szMSG0JPQ*3VEGGy(^_fJBoSJGVD z%Gm{p*IH#ghw!R1RuaDO()MxHOYOWn@2L_56em4)4=UlXNf^_9&XPz?z{#3xor;(m z^G{I6;tu`%_B;Q2Ipr?@OraS8phX)0>$TQeChy0dFaJ$M8aXSG2ztmNizf!D2h9HSk7?YHWjI^$RPb{&KtDcNU3m;0!` zA^aAyP8fL12W&bJBVLyYqWH9n{Mex2ZTK|5RiRvhMv0^0(k5IY5E1B810v3y7)uCw zSUMQ|bZ=Vd+%q&|v5YyTRSAAVV$+F}&I!(&tVwPD?u%VD_%9s~b)H^!@Q4*sr{_dw z5Z57!k=U?z#?01fj$M1troI4Z{)3WExyq7UWzshm)eGxHERz`xN;|+N1d`X%uOhAm zS*t2g;oE^898sxL$~KhR1?gQ-PI?A`2z(i~Q3F=En$Bj4sG_G5W>W9X-y$Zw>e*Vu zW>poRA3jf3Lcmv{ce>8+%I1r{WcX`<%_U;wJpbbyNXchrqW13J9>%;_6e|n?w(9)4 z36oAgIyw8L#jo8kdps?afAeaN>_5ZcSP#r7yj*FLhi~~bUfD*T447|`duK+N{Vn_qDtP~z zBkrYa=RBp50t5dW3OGRvPf=f5I2IOBlG+&6VVfMJ4QFUiDq0%|rDwdc5NcB57#Z@5(#A%& zQIChnmcCbS$i`|XdHhQZvJGmgYS;`s-X8%Udd$YDOH;RfQ=(!L#%)mqS^L?$;t}=1 zv8L?54g5h|uO>c!eB4e)(@)0g|57i^8eq%ejh@_+!t4Ew7RSq$R+_76`IB^gZ^V*K~KK@F=i4w$#W^)OwWjRLI)SVh~Kb46=1#SA#^v(;F>tM!*i>F z3xwHe`~jv2(bn9Fg1hhMsJpVgEb>b?M&{hr`<$C%4#3`k7nm^PhZ~C9HjNvk3r0d` zfGG;CxWr>OyA#d>lDwqe({^Sk2_ds>8OLJrKj0<7q{_#`~dC& zFz(bJrN$~A!u{QIvQ6z~G(-=_$*`)u;m-JFmugEaWBpC-;yAWWihn5flI1t3$p>&H zh3%x8IZCj&-_bH3s2cA4hwo2g!T$;UwtU@Y&$Aj`1ZP3b2xn0 zHPv@paMW%V<~k1P9(T{DioeXM*ptg??3P=nmJ7KVu!cug?1xbf+(7{W)Gzn4@Rd0Q z-lPiwHA5>e&yY7vnpSmzk`JPBCEqESz(_o%jSeS1z>H{Mj%6I6?VE!&w1=iDvwoLV>~zuF^S7ZbQ~Md?~R|xG%fjzR_&dImr0KMPKIbR5^FC>Niu}G zzgrWf)ux46Y~RcM^!*VU{Fz3n>J9yi2y$$lv?E;2%HVz>UIZ6MOn2U#=TCLIPRVus z2~QkGh`8aKi%-{4stBF7?)GJ(UIK*ZMBJ}t!6$|#EwMG><<=hvU*hPkUlA#|a&9D9h)M-cexiKKM9j=ho)lkeoe5V>SETOx6}j<1T%80_CTlx$ zYFE?Nmelial2OZ0ZcI0qGxYdAi}&CD!uS1PEuXQ*i95GMP8K$U-^Hb4I>8lPO93n@ z{@B^T2`176v+UxV>@OWVYz^rHT?kw~-d?B!h7^d3vZLEUK3jE8fpmOm4ZKey{mnY= zae5&!A*-WbU9-~gtTXZmd43wRbsKYqLV8%FBmjPzg2W!uBnjEh>@%cLX3QTSQ$*$C zFL~s}^v1t1v~BjmI5bq6G9U3h|0S@$v01y$2HC?l{+(YrAR?oi=d2S-9jxZptUoeM zO-f2*rd$RpS?K)4iL71b{J^h@*xUfFX!OA_$%Gnr%CFwHY3tY$SZ1~@VxMM1OIY!; z*5WgBHY~r>T-If~5ohP--ei?s zJsi z8f)EfZMg&bT&tDux;keL)Yenvr5MO()5=JnM0VklmXog8pQ&{$Wt9wBq!{xlr5m() z%qSGS+IaI4;x_LK{uU#hnc!qf{shFQPN?+qUx33gP2sBBzKdK7;>s`D~>7x|G!3dYoiT^Bp zY66uTX}|Dj3rmIi|H!^Nx(vL`)MX90La!ghtn`vSlph`gl{8CV6<}U7=n3IN9Gwxb zzMB_=9($1gdNp|~PL(-2Z(Vi^tl1D1jpG$P7kd88Ow@vcJ%c?|{%V}@(A2rAId{eN zW*7Y@3fbIk{yiM*ZK0WZnxMhe<15*=f#^Q;x}_oVXO9lY~}8c5Z8F?fM~ zj-;g%+WG~z1NaD`k$<477Y()dYd6OY-m74;L3^tDLwHfuMe}ix5>rziQDRB9@5kEy zqn`ZZAVk##ME(kVGZb;TxO#hb_ZkOPc6t&YJ#Km74Q^jKs;v2v@x?jliH}FfAr785 z{7Bw+n#I{kxf~@$V6pzbRy8!}BDw=Tu;PViJa0O7`EJ14wfPvS^YB?VqWQ9f^mews zNr+T&TY782FL zU5GL=10YUGU0-oa3Dd_LQ`mZ>fKI#LZY!0!0Wh^dG|Tu&&$qKR_rrooVg#wgctKa$ zucC|SvGGyYhC*eAfgy{U?41?IQG*wmpfJi(Uh8L~tCQP#ze#dnK%I${2`d8`1nNm5 z=BK`1zy?(|_RY-5+6pm=JFQX;@txcSRA78)UH0 zTVKC(%qr%pat=bSTuj_cJS=^0eRbLSaCr}!)FaU*`5xTUYRKyo$H5e7)~~ADF(WJ_ zX2AV#vFCmXOB=GoGdH{0)OljJBp;CBeL73;k>bnOK`D$$%|D%DAyx_7dK-80JZNQY zS;YGRT$3PN$L-S#7zZc|qm;_>Q**M-3v+0u;_3$%h|dSFp2RWmpOvA7;~-eYTw%cQ zv@F_pdFP+6duH2klzSXb4g@kYI6Da9pd89&KqKw3XzA6b7y=dAD3*fcoTK{ZxI7A; z?k5-w#7XR+I_3JOo zL08-litU}Q0Ff84;aCqabKws(@*r|_k67PEDl1*=BaeHx!CA>=z(=NV6{Atljqg)t zJB9oL%#YSQcLd-V)oy=Ar=}ev7g#d!7hjoMZEFh4Q2tTPV{VXrZMxx>htV5Z@378e19RykayFU`??-Dr;k@J+OiwF?S+#q zlolm6VyQZxI9QIY36+EL>Z1XEtur+m!1s#R>j|$z+&6xVpYDXxjncYaRZjp`*+U-w z$zMB%I>LWT=DV-nSqqnPukiATI~fIH)?t&|p12YHzjQR4aW9`5*Z!WRw5^ literal 0 HcmV?d00001 From bc2bbd06b8a1e3b063f7bfd759b1b51ea8fb810e Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:46:27 +0530 Subject: [PATCH 09/27] Rename Confusion Matrix.png to Ensemble_Confusion_Matrix.png --- ...ion Matrix.png => Ensemble_Confusion_Matrix.png} | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename Sugarcane Leaf Disease Detection/Images/{Confusion Matrix.png => Ensemble_Confusion_Matrix.png} (100%) diff --git a/Sugarcane Leaf Disease Detection/Images/Confusion Matrix.png b/Sugarcane Leaf Disease Detection/Images/Ensemble_Confusion_Matrix.png similarity index 100% rename from Sugarcane Leaf Disease Detection/Images/Confusion Matrix.png rename to Sugarcane Leaf Disease Detection/Images/Ensemble_Confusion_Matrix.png From 72f340480f9cb3f80b8522c2c06fa87875ebe82d Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:54:33 +0530 Subject: [PATCH 10/27] Add files via upload --- .../Images/classification_report_ensemble.png | Bin 0 -> 30026 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 Sugarcane Leaf Disease Detection/Images/classification_report_ensemble.png diff --git a/Sugarcane Leaf Disease Detection/Images/classification_report_ensemble.png b/Sugarcane Leaf Disease Detection/Images/classification_report_ensemble.png new file mode 100644 index 0000000000000000000000000000000000000000..319add25569942a6b3c79c1b461e69e55618cd02 GIT binary patch literal 30026 zcmb5WcTiJ%{4J^o2LweC5R_);h)7j>5mXR`fI#S>2uKe#^di-RG>=H{A}v5DLVyGa zAVm!j5JL;SLr6jkp>uc6@4lJ$X5QSH`$r~|%}(~--}3pawLa@ZtR6`7BI|Y5GiT0R z)Oztu|I8VNOyCvA@)vN#DCX~W;O(rpzNY#aL_hy3@PW}mO-Jp_nVKZFBO4~*^LdXK zrru}Huz#n&&i1&M+MPM$Gp+SZ&CuVHG|8OqW(+xwnIScnkc%+t&lypYHq=Wz7Um&v>pT zO;~#99)O)IxD>LobP8&1z#Nm}Y!l_*Zi=67iD#+)Bp;209gob7;X-%k6h@l*_YQs; zx7O}waUM@mj;H26K4mwZn7i6w(oAciOdhT7?qy;2v${Am`D+@Qr zNTY#XWYcJu7_xEkp?lLlCYh2Jwx7l$+t_~bsw&k$wSGT&y+7&bN0KNa5MM3^4Lc-= ztDI~miJ#1?p4e{73Zpg?+?)MJzY8Mw+L%?U_qNh7&HF=?N!ixTgf8#A!-+2X&3By> z+<4bjBp$N5xvd+zl^lnjq9WqrEEaCXJ+PQ%op&%5zZACjoyV_rJ4g03?GB+Tzv7%8+{nHc5X<`qnit4tss&pvw7fyM~qwcC?pty0Chdd*>=V$t4i6n~QWgZ9oL% zgdO#S@mpE#b?|gkj2mco#@Ht#yqE(wzLg zu$D4#KN{xrn1>R)tk@G2^ruj;zH#NbxI*sXvG0UuPr}PD&g8=>TB~RNNa7T2D0jE6 zi!il|+-$+AJ=bFzIeScBv~#*A3%cEErw(De4n5md0evoFCuGVAbn_ogrMa*9KC^6A z{ui{;)tjfw&$uv?YRj$mQ>;vtw*F1BuppX^j350hbCAzH_*0TdUD+v7J>EMCJ!}XI z@+7%f1#NT0)m(^CIl@~VAEN3vGRTFDlD!h)tN03dL~5q%H%8)A*P%i_0psrcG)FF8J;K!3ZX_ zi9Tt;^)-JXRTe%qmw?o7+4iER8Xi_BR3I*S-BuElWjNi6k!_ycdMb1nB(mvQ7zTdYr~$ zEq80NmqIrpZLdwA>^8Wcyln~w)+V}n9FIUwu;^mN!}hVZ`<3n{LhPzX8#NPE!HW;l zFegMz>(O41s!C`B$GtQ^VDi)WgbjdOPg^u@-AY;1xFK{3Wo)V;nHtAg7?n zq7#qQXFz3gD}@bS-^@A+$w3RMpZH;*;^g@|Onsg0P;Fzh!Du^v=@0=wMIyG>r= zcWPDG@nWTW2yyW0IB_QOlI6*w)yd+Pi`C)ymVO%Q&(>yA*pUe>cQf80eq;c#mw~DA zd{cV_WF(1kL%ux=*@$JY+ZBnv)TZ&PZb4eLIco~j1%`QsEuot{VV<5DSc|uYQihN2 z!R6t9qtr{pxeIB{%gS*Hk;A2XO3U)NYj|le2mTrliQjkBrjQMcpC1V&jdZ)@EIlf@ z#tpJ+wJQ4bg|%2=zk{dM!|<@*zgrr5;wuT4Mf;vBw=3H%UD)3`N;pS+Gk+%dw^ZpH z_^)i>0s<6G`(5VM3l4JMOK;_nTpjrEH&cod&eV*u7!)e3s$T~~P8%+q;Mw`kzNz8R z*W{^lu3XgD+C5}e*$6MxM{#`YcG!;0zg6PA`(5?uyKRPHg)VgDXi!tAWt2re4hYe{ zgs^f=3m@WrHozq(i9tcT{vSH#@qRrpAX%3zB7;b3He4mhv`hsUUx=ast+9_oG~ z{js!ve}%R9$&3}Gnq7`_vbvmS+BMrJKJql2Sx^q80V`16YriBoImWKdzLQ%ONBity zJ#@V0?09o-xS^Fg2d)al?*#?TQT)XjRvtlz)Ly^H=?Fjf)xOhqiREHR6mp{8t=TI4 zh55nnmMZg6uT?Rg&%S=vJlc@pZ9dE<-~6}BPg;gip7za)!;f7BGI?#C8^go$_In+~ z5MC+e@sgicx+fuMld$^sx_;1Er!|c{mVj~`H88h4Yb;38?%A28BnNi+aj|cW&ff9b!5jIU4IP61 zr(jj?M}B|v+${Bxn<;&v;IG>r4|$Npt`5%*MO?Y#VY&4wjUUg=EXmCU)(7h_%T=KR zFLSYn$gk*3&)+y5Qav6j9Crv_PC@t-Ne&OWXeZ^cBZsz|btzp;e~VdcG#DZb%Zfce zpj%Ic>Ly!++#KW+LJaJsWi}Xi8rxW2h#1fx7lb=9}K@_S}rD z-X9-n^|esCp~U(bH3*HF0im=z=*krzTlk*bR(wLe_2PTYz={ z`0x1h7VO!ULo|3nM;4obC6E^q*q&BbbR;6Wgr1$jUtOx?$~H0$<*8>G9-pVjIFr!X zR|7S@JwjneEMSJ_nSv~ne>V16&ZsEzJZpOQv_T@G7$Xn)QBWBy!x{dJR;@R;Y#^sv z-+YNgvHO0Q-srr)2!!gr9D5Fb(Kyz1qu{CG+r$_)(`Ma*-k%?-gIzX)w#WWN^JxW! zbl)0&k^G2M43SYIt!6FvV^K)-OX338EvEZcV!<_2W@#1WL(w{fmR5fu73r|~C{7SB zvB6g|xb3jIvUG)QDs|91$k(X+7iX2*i#X&?@LBw!&L@)oz(jbI!p)71@0Wzs zhVV=5Zw+YITV+%A(srJu`#iZKYG}Y8%wH$K7=6vQng0gU8T_UBpZpa9Z2}8SOkmMd zzc%iBCFj!5mBM4m*2b3=)8(IBFBF#B=VN%kj5;uSqEFp!IGXS`X!l<`@qY41&~0u% zh)vF0AEJNO(tb=}2V5qMR zdIMkk(ide)nRcjB zt_!zz43UDqzRXjd?eB=aFUp!Gk{#M`{RWt+K4xhA%5)%Y6u4XEt*GS zb4Jqa2z3xsvF~?X4Um$jG$pLKDC_pn0W_AdkL zGdtUO_|`MDi@C76dIhZkrTgL&1w6z@dIG;W^jTeNI8x;6O-?i@pZpca^;{OS--od^ zE4yRLoG|zw|NP%P75smqrT|0z_V@oSpZ$M*Nm0h}IULA6%Zx>SE3|m=8~-Vg z&1&|CDovB>yU62RlsfEA=J@eK9ksRd@EAauDoAi1iGFJUFmgc>0p=YxN!l)^c2Q2~ zxz!G{gsN8BRZP_-RE929 z$}oWry1M2CX^mZUwB1Fg7-A;?KMnPy(}_)B1l&Et*(|KLUzhX($*!_SS_Rl%JPrVO zr$2n*sjEbWS}TycD?C12D!eKyaWuQ~|h-Xz0rOP{-y|U{=K9@(!Ew z2*I6xoa_K|IC;BCCx&rAl$D+j!0g3g8XHfKDHu6iK>s&?T+o!XBc2-1i+z1*%jBTJ-r%)J3c2jssa*(pqjoSWIJ=jVqz8K z_djggalSB7!TG5Fln%ZVs)lmNK3P@OQtO+|$fc!#(^X?GrF(d_J zY5(n;)9@!(lDU4koqU_M-;5}B1()Z+Y_=LP0Fe@&Y+i&O)Xxvjxl zcY%f)X}L6=endynxz}%G<4X%u3el?!iu3 zz!p2SAMmk0I0oo%mm;7IbY1KBi0Ps))}%<}w@}8L_%qB(%qoh+mi>&p{fsWUdbY`L zv%|kE*W>R7R`OXcliSC?PXPWbr z(IjeEKv+I?za;FSgh%!8o2p{y+YnCm%2&pX9o$zPf3Rd zUAYF_9|$68g52grtWkwHQV6@=`CWpWWP6Ad3^)PMXV#`!TFbh<=HdAj#pv8jdK?u7 z-xH2l>QULP=>h{lmP5uJR&JgkgA~w-qM#>9(0My^%F|D-4FUp>63YHl9=f6dy@0Y( z8w!kb{ocBRsv@evJ%~UMg9c#D6A`@ty_%n=(J7*413`f7@xH5_SxBjWm$vkV2R%CX zRu(-b_v3WD>Ug}Ao!@^ZypW9z66U-2UMO^L1*v$lH?R4k5m>qh>dCqFxrIm!Pm1r2Ft?%ZW<<(`_FoE=={B6|J@u9>kk6PRd27hLfAz&*a)|mh5Wa5E?aft$@tVPnhvCc7K5WEnxgQD4FJj1(R zA0z9XlRso2?iTpCM`=J%yljg>r=WOFaE7;@Aub(g}ARV6LQoE zEEmeTrz#y4xnGg)>dBj4UeN9L9%*+rMxMj`TKIWW&O|jky|m4|nB>MJXS@ou?i zHXRDbikNN1`T7!=SB^g}qTxx1mx?zrmGddLHV;vG?RC<1VHjG)nASw{2rFcTLN1Hd z$5M4iuRd~fcrO^ZBG=^WRht~cb!SX=eI@^X#cCkl?M|I`l(G$(F3*)huM6MzUkmlR zA=^p{2f{+*yRPV~Xv=?YJRv(x5OPBum@(ItjD-rz2S(ADV**AXMTg>6;^8q85-`s< z?H?Zi_VlWzUDIZCg>;v@eUWliDo3dDFs^Eha0h!m9c%5~GG|XIdat~0bNkNuq>i>n zC&uQEoNm(faUT${-_KPdJ}2M2*&h43N6txd%Gg9t(zxr}R29PSP>OWxLK*xT$g92_ z;wJj7;4CM$Ono)V;|;+}>dhGS*9Xn-1}Og8@{`_zL(;iysD*qvEhB~7Wm(1`_KLY89yEZjhLPwCNq2| z5dOnO4aB-f9T5ol>aXeK?EHRTjf^q{W9uuuj(Ws;0jGCI_U|?R#I|Wt@J(z-v_3Zxn zzP2X;X=8}S^=vTR95U%FbF*mk08)f^JT_?MsgQ!;H#3gOG}FI~S@;SAfY1Z8xJ!B? zOq}XGA75Tb$9TD1kHAMtxJE@{$!5;5E>D2J4!~qS!1P|U%wBYFGr^rWA(TD5Z_7)X`;L+=Fu^~Y8e#i>Rd zROp}kXg7_tT^{tw_id9J#)c0^%lINN8*CT}F}U7+Z>De3VcbH@o?sd9ZDy~6p853( zffZ%GvPt>#e9bQ+nbMNG9MGCCIauk?BQCd(Rs?d24im%tYOoHe z=pk4foDntPq+M_tl!)uW)lIHl{;S=l{_xLo^})5ubHoz+k*le=1F1o=;X{YgMou+ajbEFXn2exM3Q4hl`vPYp2Gh z>M}U9m33Yt5uzgq?hxe%<1d1=3IE#DyorC-PH=%=Go3;*keEATVgQ0iu!S3?)v~6D zbJJ^CIo6nUh3T}$Ge5pgB7#R2Q-G3~f#Ls$QZV&VZgajwOMgUPzN__V-RBT8;L}Ar zCi`JL!SMU9E&g?WdD$3(+9H56y(Kk^wXh?kwG~SAgZw~mSEb|XdFn<}buyUOVxlg)A?V!oAH?(Km%XUs~kEC~5+O5zHGrgevS-MY9mieX-H z`qD@!-+Mkrn!{0wi6gFTdngq=$os@t zq>Ni?7T6#3$+hGd`Nb*olHa`K-T0S<_dncY=%W`GJaKm0Sb1xms5{%k8HVGe(_(Wi z1&<7qiRSlYy}5u6M&GG>!@Gg^v@AoEl}5sUA8rP3PmvDNVMPMbrK)?8s=VI3Cv;JL zj?VT|XWJ>gH=S;6)1~qGXKl2OBIKi0mIz!@ zI$?`bl;N9%mM*mR+KWkx%n#or#>ptjgQ<7q@9q-vS8uqfJNR9D-RGm%U3uoX zSHMV+TB@1gvGb=y1$G2_Y_QlHQVe^A;!Bve^|FKbMU+iL=B}jirs%Z)xbuTO*LSBp z#em-eHdg+(f9`VmBkcx93qO>)z)|$~Rm7bk#@|6-q>6HS#o-5U7~K67HkBqjp*m$) zT^PklH)x#qFB=9L%qHjZnTkk|qv4(CJK>JyzBR3^>k*&O6OG$R1Q|1{4QZQp+~h^g z#(`rcokUEP^iliPp%Pd+=j+~-Of5Gj%H>>&rQcO4opi*^xl2kOO4FTWGrvweF+tk;OS1^x6QOSSdrj zWd-740c=m<9;gv;Rxv`+k4v&&@A>fH1nCNd3G?yJ0l zmUxk_-?C}O9v_h*S*RF3V>=ej#2nyP&G9*y6x(yCeYq{#mn5aE3&!O@3}Ys@2@Xx* zyB=1y*P{5t#}(cPRQIOZxPxUf3~jncvt^BBq8tM9VwnjIR83wR7^|&#t3(d9o&9OrcV|B=zH}Q7&B?)Qle8xL|8i z5^^PwNvS(F(dHo_x41SO%Q(L2{Uippc{}%n@hpxR(oCxCFVI|nEN zl)W4=cbc)0mK1pv*zGv~qp67RJBO=RBNY<}kJ) ze8J!n!Esxb|@Twj`LTcuR6amx{7;Kj*T@!oDcm)Y@jO$ZA3c`g`t0o!C@j^ zbaXlQ&+SCs?_v|%6U3&5rU5sl^34qO6v6nMQ1o+Qagc^j3SX!-W-$ua>hi^*P3tF} zdwX6f)D)(p5rIeGi<4V}>;Z2ovU6%g27P9eawPkAVNI)_eC*fhI)r4aL01>ZtgAC! z4M?lSap4;lHf?J9qg!Fjub7on^m$nKgHW+BS$BLi3MA%R6PJKAglrW#zqv5UC0G}G zuD}zn-qpFq_C~$zL)8s&rBWHT9I2cyZ?wXH{bEJDOug z1d%$#v9(qSE#!A6-LM#G6`$?HS+eGY+crAq=h>fUC(fEQGzyeQqGoRGG(Gv=PS{gD z`{OK$9jF4!jmqyS1NBoO@GYJ^7M<>hYs@8HbB~oQ4u$4#PsWywQ?a@)ve)1)fr!Z$d1b0B`KmFt2)ATAQ<%UCEY;lNx1@m(Niz zbQ>^nOu~zqK#BjtdSzAvI+97l2M%cOg4|u-xfK!D`HGfq(9+l8+VVLwUqT+Iow8hv zDQ}t+q*h=*Ct3Yab-pjz4!!QzkZ%~m#Q+ZD?__)iew?DE)`d@Fe~ZeDx@Bw!PnG{$ ze!d~n=sBke*m^yilzwbwuk++eD&t?OLm{hAN?E`C!dYB|AFO&#CI3o&lK*C{rP8+$ zA)UhMHs9vZWSCt1E7qPTp79(vwv1sp;#yv;9@zn*!XqIpB4KH;aiumGO8mpU7Gj>( zy9j@n?bB!$%o-&!HQWxsG+4XBs(k9SEkujdWcl5@E>`B7rFl{vRiRQ7`J52J*6M1E z%!5=_@Kjf_!8mFc9ByUG~FF+vT9Vrqyq~Q`Sq&eqW>l zT8=B-ezo?24>+YA(>GLrs3gj*W2~6T^V-7;U#f`a58a!!Em>mKWHw+{FVGnE(cPd3 z8^2Mo&JybZjd9($hxT1uLrjo*YF)e7r|cFOO3F={n3-RxW-V2JpUz$in@BlF^qtmt zoel_tg3|1Q2*>FU=aQbRSc^8h@c_k(M)@|jsE&$N!(ELamg(_<Kbff!to9VCiCMXivh~3TEi(a-tr?zZ4z!dTzDJ;|(Umg0>d;q(mE+7R&NU z40Rm2C?=;qtWYz_q5<;l{jo8_tmyl zLL&B%3(DWy=is<@*?Sn!265N1?)@sW_{8a`dGeh*uB@#02unW!A459d@8h&+%V`(B zlpN9wrSwN2#r$<2wW(~^by+D8bgQngy6o0!+dW5Cr1|R<&da^8MI=mhgTC2pabS2E1;PJae*)jTT`f_u+M{Xk*qlqpFAxvb(C90V}fJ6NCCpn5Ubm&ROEv!<9R_!EGdA5nIHyM!KIcC-u1OYQq zd=QB>gZ)OyS3aDYaT?-fH2jOm$fJUN1hXAj&YO~9i<^(S#+(N^mk_YWza#LjMYTY; zt2a9xH8^?y`=Q~n-gC}2{;$354$Kc7*Thr-*{$axnNdFZeNgU=nVI6XuLR?fyvUZz z@HhEzKROMMDqS5;X=v(m(|G=;|Kz@Iz_0Xe&ypP(byc?jI3&Ak*V92Bovrqvcuu7-$Tu}Lr z3s1X#7D1&hmWowqRQ+b@!uIt1dSTSdX+_E0CF}Z&W7B03=EiciWodP>d=NuLyN+SP_yv$w;e=m}R z0t>8^d@SCwfBzw;)cQUPn~$aD-#+;mEQBmY=DPE>@w85$PU1fQd1OakT$qxkZ0QI$ z($HCeC0dp_)J7+rQzH6h5+^8{%?3Z(L3b+7Tcx~eSG%D%_UEyyeC|e+aQu_GW0zO6 zFH(NFuzHgHzX;U5Z+irOk?@$xOX&$20b4L#YX|WKDMQ}JNNJz#bYc55j+HabOIn*n z_~~#+MBAV3_BzaNL4Fv21l2b$We*bXW<78fm|^@&txYP+ju7eTwYgVPqQdc zBcQOKa06!tTLz+KCu1UNB1^~yc`dsmGVB$C?{R|;qBHxVby@ZUQw(`MU*hn%N{q@m zteff4!<2PA`mvKDG1|kSWl&~_cwOpEh@ZGG=|&@~dIW~%?&WFwH|+2*<0aDGXmMg_ zPfgg#z=Rr1>GLXoLX;oq9{(OY#I-hg)}h>YDs6PBF3EF519c4*S#ksl4D`R z^Ng;-94c&i3A5+OKGK8tkXG|%Zo-POA^9Z2v-REE!%V{JfhHBxfe&`>@nW5RM8n1s z*b!mJ#H64c#h*2oB#QmQ(tA~Y(r`$lM_|*ai_CJ|W%uoJ&2q*6F1;b>-79%JzUiMA zdh+DPc@65hv;7%OAO1mrlcWcZcN;Lra_@BczqTZ{IldPeIA4n*M42&*G6&(M3#hTW z!E-G3>XkWFm*>trW;#2WCi1TcgL?F3`}bl$0z;~tuJNys{xB&toa5@{XKbc`*}0|~ z*0O2E5hb_QPYsINiPzlkw)uw%+Gc+_<%^3xgFu@`8~VZ9C@@AzRnCZeseL%0B%zsf z*i1=0lMg4}Kqyp(P=GpA!VS5L4@~YluEM1ssSj|hg&3typB+>i7|E5h;a~~rSFgg{ zPY=v9pc?T79@EP*^E1w_({#`7=2UREil2?=$Ok0nRj{2f=M);&PSoaBqu^r`a9V^w zEE0hgdtK{E*NJWer0qhKPq_Eu7Ay@yVcEcCv~z#n^*(t-P`P87rg8r6U1sv76Cp@y6H5 zXaiw>h9;T}m5T)~XxoDC7MTgU&RSDdqvI${sv=dQBXEDb!(p8=6$;J2yh|P+z|ZQj zYv=JNKUBI-Iu+~`|3E?A#_p5yHSFd%U!WkD9DM5LGT`%Mo7!R|C2Wb^lWqUSE5oeE z%w=%#{7r-Bdj8%XBld830h`IlmyP;gAVZeg?~nh|Pb>X6S25+XpFzGGuGY}t{4u8v zp@UuUJV{+kCBNeCn)DnPxhVdE&a#+{AIm~&_C1J@rZ zsSWsC=D5z}nlw$FK|}cW>S=1s0zSVFH*%vCNK4XYi^~QZ9J@@fQq;d+_ikfAc3X~q5et9$=s{nFUj4iw2_$oxDH6#B@z;@_4RA2feA@r5Ub|z5uRB7|Q_QWvQI(PKn(=|3gF8w$fs!|C z%Lh{Dr~ytAYG`lZ;qm%2PVFupHS32wJJ~6+W!{n&5{vL6*3UAcJp1%!r0bMH*&iJh z@k_C|&Si%XiAM{mK)Kc=%y4^9W5|O^_>jYL9=$=)J`RUWg-Q``Jd2B^GQ(s_JyFu{2A*9XW%m{UVk2! zU0GZYQqW_$z%GV*%EVsKIVze`iqD_*6VdIy4&Ph33YM=)2G8m%Z??ip2(y98Db4qv z@m|S?JG_T3SGo*uGu<#;zZX$>E+?`DQ~p5j1uTDOs<~gp=GPYQ&3ra{QT{6y|YxB@NiIj+W<>m!;{Jc(MZ<(-2s_lb0TVOYVCYq zYro6`Ilj4@7p`yFptBr#gd>sDv5V3b&(H86!BUVrGL`S)T``)ay}D1uf>lR$w~m(> ze{5V4jsm@`3)geYski!Lxf{Fd6a$^P;N=9~bG~k-q5@Aqq7)?`XlxRuip+HSMoe z0`ybaumQ=X002Y;! z5ZS+#InuneMOU%B=B?}Zhd74K+WfWaL}SFQjH z_OJQV7Nf)S=`@o9W& zP{6G|wXHaerEA83FB}5RR*J`2&wsUTp3*Rx4DO5#qX9m@RsR!>%RrBe*FKP+-!!Ks zTyEY^R#w~@c-rIp@136~cIFQs(*W6 zIZ^;6f-McwO2U*u#9gY(~Yj zb*uUHV&}|71AHbtOhg{l=Brtxxu|{^Dvm9wU6RIARa-7Wd_+9EdEir_s=P9@9sJzh zc(?fIKis8nq#^t=k_&2w6;jRWLDnqMaU-IUh)t&)38nU0rywi%Q`8BJ2qMnjFS=d< zM-#iWfTD{XL80Ye>)Ub%BjMAebJ2I^D=qNrXQ0h<&c^xg?Bg?Q)Vr^*E=g&CcoGrf zwsAh(nGXhtO=}h_n@Ywn4}#dIPo67_um=nUGvT2#!PHy z?-}Hwo+NBbO}(OJ4lIY5-a8%1QH}l-3w>#De%~A=?zbr7h@+xV-AvCXjl@i<`BQly zB|}W&-Pr*UzivslM0-5xf!r#T`=e5~$>RcD^yvsY7tTcy0tW5 zl4$7{0CZji1<>tV0deLNZ<;vtL2C?FRG@>&CtxO=Igz{!Sg=>VB1|CJC<$4Ht}VcB zPVtWy+f2AzGr=NM7{om}Ltnn#(?gZPZD*N*jX&lGn z4`m~UmTrS~s^2TS1{6!@I5k)`049%AJ{$Y(e}(_+-f13)7OR_Jxs;{44?+hCSfx7M zegRckd&buu>|}q|q2Xj!)%l-~LJt!*17=D7!UrjP`gzqZ$TDl_Vv1W4?CJ z{U~82n*dhOhG2Sk z53qT^C0_6T&qNo@K0K7bnb0?VPpeisN276~H~V{u?q2_cf40Mb{e0*3-~@|ZAZv^QoXx57P~Uk@}aF@H(gmpa&(p z!)`{hR$n_mfgHrZ(^OyZ5vF*%3p&a=C?ZbW)Rq?U6!24qx-#TOv(r`x&l4x<6vq^O zi~+}qnmF`{Sw7h*y19((gG#W&knngvpK3q+x5&mE z8ZA)5?=C75{-E0L3S>7%cqKxn|8>4hvA28pcr}A@Cu?%dWo?=^PdC4k&I`nY@ym>p z14DAZl`~NNkUr=?9hVe>&rcyrk*@S`s(IPBeg`phr}9eUMM=QTpP{Tfg0bIHnmjJn z-clsO%PB2OkF?(i_)oueynMa#L26e#qj^qm#{D+#<(Lc>N-?eGq;Wj(v7xC|@2>T+ zBndYK@*R$b%{0y@@;%jLd^x0QDnpE$RqK{^(RH&^Le0M76jmA*mgbgwE&b3OsHEn2 zzB~=FW4%3edrUHmcf!Qb_Bz8)~Aqf zwiqGgm*B-QI<@2m9^?Gct9B5Hc*|-il9}3Ww<}T)vOaP}!NdG2G>4@p3x|2|5Xk&E zFSe9uU~jx3)BMyN!3JqVos?v8lm?p{0Uk8bLK#>=dH_&2V>0aGA>{Mjk>i+%g?ty& z8{(^VSsZWuA;Bme?x@SdWro=iwHC5xw`uU4gn!DtGaVPPbpI=Z^(~LH?OY(TH&nQl z+m=(OXnxHP2dl3`D8}<}$_VfZ+z1gjBz@krMO6FVZ7BbvQz!mJal;)v$Te5r^=DGd zv9y^nQiiidd;r}YWKnXf;!*%5%c;ugbrT&n?$K0 z3Kg1(aH0mlTj2qMRSJz_b#ZQ8D9S=-FGF`GsD&};4S@p%#=&y3&bMjBI#*qWyNv#v zoO=7$s8d}L^4l?QW}#bl-T57)n)2WD=-PeW`crRFegJFJ#lm0dPQeo{X3yPpeg6GY zYj>gC6V)z`Tr-Le2vF(Eosr*lv zMxCaxFzbDwHAH1~e5WPP4KK#fn9PNRDv0^Lt2t>(cT|uZ{41gqW@x;s0NyCJA7D>? z_2O#kQP_jxD%5rkMF|cQ+m%{ZFZJ=V$%dEpWG|fmA`;AywownlPZ@kieI;dgHc}BU z8{m!9t^o#~%VV;pR)(_mv68rPfC9Wy+vd_&ejWWtu)i&UIVgpf`7!fLMKAuHVhU+} z(g>HG%usT!z_~*NHyNww?^eW6))I9ad~eccs7oN?-?a}296rC)W%S|Z1oHR9myRg1 zHKY*r0!%E{D<+NHf80!#M28t0_M=Ogy(ikJ}~b3 z8}^DYjuaVh&x|K`-;sCn<)gL1HiS<|3GWzc7mj+JmvThUxly3)`RiB|s`c(q8a#hr zxe+iA$)Q%J00T)TBRyzd<= zvf;6D?ED+BIMzg#jCld>aW7Q=I#und91p?`6-N`xe7%Q zRCmd^icf;MhTns44|Tr3(he_DuB%T5%D6|<^L{V)K(!Rdj@|$I@IU1t_`a3JEJ<*DC}pzvoF~3^^$jx9?8lCD@mI;s zJ%rx_NowMQV4bWtA5yYk1fdxA=si}A_%G!oo!8%F1?NwCp?xcBHpX08+Sj*}Rp`BK z-omWMn*5%feiN7gf%MRxldqc-7u8MB=;B@M()=y zuCGz48rsold|Xa=j;j1}KfgDmsbSw90(OULOLIEv8r;z#&G|tGS4DgqzWGGA2HZBT zTCnolRV?3ilz6UnI!mV0M{?=wcdi>yzLgrZ)Z>4qGZgInv<=CrAIP9Lg3p+B zZSY62LquI|4{}=*Cwols7f-e)RuM_^kNb!X4NdCx$@dHXYlRN0PgxCOWM=*WG(@k? zQ=|Sem`s1;oO3VJ_mvLT(R3o$AYba=Q==#Y>^kGm=87J{p!M{~KSvpj%jjJ>dd{BN zQ6!F|s#{g(ui<#TqZJCIb&?OqvV^=J3|Uklb-mrq9D1)gp?y2PJY>`+EBz(_Y(zsGF$+Q(bEbZn;Cn^=f zfnM34O@$?G{K@co}gd$iFr746W1Q5i~d+1Gyiqs98PUtlh0jZ&bfKo+zLI8=Qd`HC}V!c1>cW-1jCBG z>=!;sI{IBEm#;uGjIkRE%}rngBQ+GF+nUrL_J$c;eu`9csbR=7%IjRq%?RTG1(;WJ zyn6YvX2KX2*fn-KBpcPXoF??PPcrhJKu$9%yGTF**E`;VuDMgyEfE%>y_V(h+K-wa0~z<&4FD5XeB zEJzrorw4qyYhUaj-vq%&&jKAAOQW1460DGSi6lyGc8Xe4Ujqj{U<`lx<`UP6TR6@| zUuE{ge#ib&U>G#&d~KEFpZv?YG0`me+N(+5T>3?0*c%#zW=Ni0abrov`8MNMo$(L6 zXb=W%jaR@rack!gex`F({yp#r@1ae6m{=eZh51r^oO}yYN0n;7+arc^#*yKZ1jWna z!gAQ+ZIaf)Lj8jp*N-v88OkMvKu0Ooq(zWS>TxEo;wIcVoVaTEGOSfF{l$zXxBm#X zKZTawD3e*%jOlgHcKJMFuveqa(kF1#g!D- zd)iw40`Z{~_K*528Q6G*05K57ppU|(SYZ8go?wTcj}9cCuTdJfZgn;8W*CcvSRN;@gv^vB7d}lbtz*4UXcf!nyNRgDGmYE@kw} z^&A79g%Gb`>vr)V>t0cg-qro}S`Yxqk=Z}nv;D1`@~(#8zOtL*EF1k9=tk~l(BEWI zVn%R9!Rlro1_R5?eSsrqg9U~yZ8{ZjCstI^DZ=rj6szjEyp}{k?4FbJYNmC6s_4%H z=Wd0c7O`2lzZkF`?^B37cq!L(`pGRnoXu5cX@paNCIZ7HiE!^-RR5nXfCqfZ?v3l+U;l;4=g8NKfu`0!_Vt*vqu2+p!FE}6RHd^wG>%~5WITa%ud!+(h?Cdk zWqII?c_l{b<*KgUQ92@e>5|Qz?GXd3Pw zN(~)ZI`=_S5y$wxN1GCD?-$bS{if;ju9Xq%_iV~PnDbmEYD8K=4;ExIlKmGm`ahjT z{|n>!@0`*9U3Bzc`Juya0Z5AWSLQfnt9MY5o)C!%G)PcZe+m+4OhJMc7^MC<1A519 zz!HQ8z9d?yYp33L={7L0)NSXb?B=x&7CD!e$W zU7{}n^V!h$DX#)QU%d^PkXEUO<|GKV3$CnNvJQs8>s2}0njCos(W;UB`|p!oy>@SJ zg&Z=E!Tm|ow}T)ZnoPLowY`?;)oG;Dd0?;iMciM5Ap9zZIGR!D)67pM&3uTNJG>Ug$o($0j@DQHEvPON&pbBLT3)?I*3w|sqhCfpQpjlY6KyU#4z|Q zG|#94C+J$&p91`MHyJ?A^;|mzxpjU$l{xguw5n-?BP84L9Hk{~mgVqK@epg5fm#eN zYl37!C5ET22HGxpQi&7Z_MZ|-R(n?EHxn)qUoL?Fb6!Ml`VX4V3bRk~HiQw^`+zY; z-8L|1kxQavp!mR6#J$}4i|edz98a2O>6m%#o{u<2B+%!j6fS%2@0svZN2ZiO1c0opzbP>C@$2TVaziNImtdgCzMe*+ko&One}dyfI~*E_)DKH5rV z>pJZqM;-0`7hDV&Rj)m{QA1DgS@@cstCx1qN(~S0Lq?solQn3M3YpOZ?{!5Vr`0IA zohTFHE+h)_{@9%Jeal2{(}YYzgqmt$YXPHITSexhNaDZdh}%!Or?I2VRw4TqnQ_>p zJlJOa6A+pRgs^Y()3)0cV|R6X9AY>PZ!1-NeZj0^5&>ys>^GM${7QWlG6Z?2LMFF> z!py<`5U_;`Q~SSy^i0sDkw0|a^vMzUG`9NW+SpzygS?`ekzMPlvZ%j^>12xRAOa7bp5=byQ<_C^H$Bo z{u$^-QXH=GEs9liU9a;>OJmsd-&BN-GVPQAd#V7J8d)4`WeFJeos|je;4n6@; zwAEvRI{xerl-CUioR#3;_tDhFoab zHSVhGwcHjLzDN&qq&eYVEJ9 z(bgqdMlVvrCR7Hw==z#$qT!uIKaj8iX!$rPj%la0+3vNuhBV03#mb-t?7A%t92u1d zxsfVl*{Jqh2YfO$0p)r3GXvT7 zF+Bto``_uXIy3!mYtYC~Q+7!ob39)Bp(I!=C#2f+-HS^8$_>d4b1x{eB29RZ>sTTI z%Rk%}_w=I#iUi-oNmZH6LL$EQiT(}QXS#zZZy?_Ca5CKQ>fP&_wvF6>H-GT)VE$v+ zoV)(R!tc}c(NBTKB{5tlBqHzJHsl%sDD$EPEJ^>~jG;*>_L$V0mQ5kodAj)e%88K; zMkl^G4(<3dwZ7MoU*yp}mz&o7xgB|x?X985-M-v!tM87rGdIjDL`tB%Y~)@HyG1Tl z49WMu`8*gYf$s}_^jM>*I0_?9DHtCSFu4ImM-Qz4&-PEVAi0rpMVLa%(EQszYZ5+= zny2@}AWk?#h)6-|Xfc1uKcx&iSAd7$x+*Ynl}uiP=1L(gnx?CglwXJQ(&I%TTlLw& zJ}VxbsZS?dzrXT%rB@;|f3q@_MFm30VGZj~8_IUxa|$K6pVgeXQsDxttMVfRC0KWs z$@&SsEs>lnLlKy{W0x}3C{6hO*Faen-2NLyaUVV>nAc{dD!&GW*+&dVkFza_Ja(E| z_&g-J3M5&7n9PQ)V)4B>9j`$ha>a^9r-8Kp<_QrZ@Kf|QAj+&-JjB(ForK&oagj=} zx(-X|51&0;WA2)yLZ2-of58E0BU~_F1(hNT^8amL>{`_KvgO6C=8C9~kk-L2q@$s{ z^Sf?F8D{zNPYal%E1#UpUqg7Y)rK3LqUD|ARorckWpm5PmAeT9Q(H&%WlPVY@rGU$ zhW69Dg3u}@UdWk!H8C0O&i`@FMWpr?CA)p`bkTW3te;Av?hPH#_AEkW8*uinB528x z6{?XMKnkgQmjy4Jb1j>9to!8ryq1eS;e)x}*p+oCmd%39ekJyHP#6(-lv5?Kw8QfQ zWXo&w^j-K|c&2-2_JbL-i}q8!D-sMNoEN*8Ol*8`UV9TVMHGO~hal?XlG~63;1Kgc z&}X}us=Tt%X~TcZzj^;;<&P7A@h z(vTwIS6Pl+%UOQ>&c5B2z;eY7>3A|j9s*fap5z~({-cNg$_oih1m7IA7`0j&tR=KU zE)e?&vFbG^_2*n-Ia$PlIxlROcxNI5j|)!G-WJB$97ra=cy(dmhG!j+KZ zgCVUwVc2?A1HR#o%5CeJgM+OGA5Rs|$Ly*$QRt~x2#ljIVNUN6!b_u=#aJ+>x%}gr zTeaSIGT5QSOhY$I_OgrP;X*YIC&0Nmn*oZl|!`V7CBPgrVh zXwJ^-P_{3tG%fCi^1yn$c8zr8*R0S9tevlAj7VIwN`#6<7#i%>iuWX0v1)FR#{s<9%s>gTHQwE$EvETa*S;X`i1zGJg{n&su{XX z`NC808YRqpAB&|=@-J1N-tr6f*phP1*K{r5E1-E4r5Y<3Bab)r$+M;n^bBV%;ppJD zSM*_iU0=B4o#6aC+?#$uQ~ z)D+$i6InfNrl&Q&YDV8iPbdNzh;VE#dh(O#Uv;8IALi~z_o9U_jZGev;C^Yr$Kbyq zZ~EOctoiQ0aIJ|iF)wPX!BeS2(_CDO@7#IgA%rdsf;vu^OyBtCVYg-UPBfRL8sa-NJQT#h_D$;k$m zp_(w8cK_qDu9}>I+z8z_>)Wyzo*{#OP1pBElKvS+K?()ECLpy%e-J(zs|Z2upc$MAS>x zBb`S;)a-^JBkl%ArYvpl!AtDjHzz{^uBK2;&acHi+dorQVF4SoCuQL8W9{;$*atqPs5S81p0vaJv^hzLZGPdUR98v(y;Z%7)zlc7%{~fsDYe|32pdKa_VX2G{;jp zE^QHt^Mxlc=IXeg~TV>oJQ0ykT4}FQ^yC4k_#VxbDBKa5pZV$F)4L{ z_!prBFA&a`**JS71D}DLjfqs4cZxm6Y``$3%^KPBvo5=xTi^MOww3$8ykX{bM`|Z@061?s|SiSJP60DFlGFzlx@)Zl;O&b(BuwBG&sNHjM$WO@Q!hHbW^q;=|OqUs8#$##Umm8gH4Vz!o?}um_FBj>>#zSb^syD}bLOyU3q0$C&h?$oJQ4P71sGs#LWC1#5uQhJLL70) zTZfalwYkrYbp11w9m4q5f&xY$e7B%f^$3Sl=W`y}$*r=2qNChC+7=i8!@%>oH`CM^m^HZ;-MxVl4X(tD=4 z`oglCyVS}p`SEYTa~?}IoH`VcTe$V7Bw^yN(x))p*rZh5-m=gSS>J51>PnS9-`fa1 ztk|XAHSh>5_4l7+Ju8Acc>!~l2mNz$e(G$RYGtK;taC)qPd-nk6J$C}4Q{szH;kNj z#<%TP!;#vF^1mVTR6Eyr&$^&N3)gqZ-P`WSs70EDS_abs&b=PDr1>u99JORs)zwWa<8B81ja2N=avbP!Rjp zo^s&W=G%7Gp-pxTu93lkHW6F|n+Bw4Ry+c$4~^eU7;ZS&Xr~OvFSRiRRNSI+P{mQR zP~)YI#`N2~E4xB0W(|D*%Ohy~3z8i}c#G^@1!!8Z>?xI^Hh0`^BQNqwF5csNrGM|o zJ$PBJ&D{%gf1YN+hUQ<9(xKL+&bT-?*Si$|MliobppcvxJpt=Q*wK268MUW6V&^5<|>HKkMdFJ=wv^Am@|0h3x&JXOl)o<+kfK?HnWupDGL$ z!5*5Q8?3`vB$7)0&`~RZ#k9(*)+l${_()nS4#5O1@|V&JtvxmslPhf&o<@2Za#qlM z^RCAUe1D^M59uaWY#0p(?KN!S26s319!7o;39HF_zm423yJta zH_e@FYsWkI4fO9H$9-J)x{%v#fyCbG$HD-_14(~ag`{s$DcPYl!$0@N#ryA9J`F0x zE^#xl^b;4|%gfu{ta}{;f3CZ8`t(!wJ$I?e0%mxH!NFV(BX7A?Pi>UD3azM~GDq2Y z;T5h|lEh(T&^vs)?&SEIMb&Se@c08D#yChGUKzobwzx#Nq&nJ1nTK@6n%jISjOnE$ z-K)~BRo{RVQH(f9A+l#sV=gHF*+fm%jx-zx8*r%p;j8C}`9?p>2kJ5yQJszZ_S#%^CHp*p1#raPR%Z3I7LR}nt^5`P$H-7)Zbh+ST9 z`?GiBeh>C<7IHo{4BN;XzicA%H&qIp>)QeYWod_V(^sRrrqxVOX$jcIuL);GtlF@F{gK6P26VV@1MaUqPf+Ylisn$@ke!Zbp&&;WBkCj^Z@MQJFBqW@9!245 z^xif)I&h3|IB%$ysccmHa{S{(7cP*g&cR! z=E}!$@OVq7jR3SZLAi!SnE)tmmh8_8cRKmAarn$~|LD7-;5js(TCKQAsd(a0+6zolDkB`^!P(TmHtjGNU$7kkgvh+fm#ZP=Qku-M@_nVxc8QvO{ib!CJ#PGKIJz}cUG z8L9Ys(x?+Y%15ldtD`t?FO4xB?YzL9_&`6l?n2&8vW)q;v7+bNG4SA^>_84WdF@p# zIxD`s3YI~fUAFxxUd9iFxCp{`Phb3gS&Dy3P#&LhH==sEfE~AJBWPad^!ycvdZ#5~ zl=IeUGgw-Od%8?g!8T2c4ui^--mP7_0fo!Mm!267Xz7*I#|b>Aj?S>?!<`o-ohAoP z6fMD28jFS-rLtl_vxZuCyPFv1=6sQ^sJKi_^D2q5pjJZ%7IHS-rXC2fRopR?5;~I| zz=n|Ke9E5W93Zk{KdF9k;1@b)*2SjgJwsqnJl}1tyu~~=wy-Of6Qlt-9BKxC<^aVZLbH(p( z5f{O;3hxk0W⋘WYQToY1mpjG0=23494s)wS=E6(kq3hY76mj=NUYutUYG zQtpzgt)P2_BQew~7(V+kySdU zhE!V!jpb`mb7+MShH}0|EnZ*E(Gc=)11Ig8kq09hGM{ca`?fTB;e|T2#?GO*G$sBv z9k@Jyrxr#b(L%K~>rSUSCH{G7yRPBoT^GI-{POj1|F|@Uw=9ym=COHRE{cfRY0WI} zMuzjEHg|I2i;k=1%ONS8Cy?Ty@`HoEzf2JeGF zMTFYL*18CnUyWr5=d$r||G{iqqN>l78RXoj<^EKQHSc^5O7q=@vW`n}p+})P zfAQ`<{?qkMAz2rY$*6Dj?!_B7SQ5V{69&JACiB1PUx}V8IoQ}UPl^6d`X<-VIWvCz z2w7Be+X0JyPaMfZ=lyptxMrRcPsUuTxuDrt`U&&e1iqA#hsorfo_apX02T6i85$&) zm#pG8$-Fs-sjc^~w7E?;NH^vx4Er@Qr@D1kduc_|XM$sR;Q`#7|Lk%4trME(lo9-V+H(v^Djb6vuG$y~`g;0ap)WNK&{bNPu?bn^LI|I!LA<%a?mKSZ+5h*pPykoNle;!;K7r=7S}HQ`WW)r zwF(mZ!jQb6(2xKXW^E!@%&}C;m8KU+6y#JjK=Y+tvF2qb(G>(jMjOlS z1()$gyPt{XX;O%OwzB?f(s*X}$rE{Hu5YS?Zyryc_#W^Oq5Gp}TM=}VGcz6LTyO>6 z%f3r)2Qjz2D6J;ENxVNpxYiw`BMT+t)CReu5vV#s({B}2Ry`xDcDCiYV?D#=m(50g zu&0jC;0>PD33bjmil0GxB(hGHg5lJ*)s^PR`J`SWHbo7Lw#Tlr3f=8OIhGB=SG*Xq zAcTyHoivhh`EIhq$bah(9YO7h22%(7q>V3|{_wwxGlv^RL!lJDAaYMLBS8IPx8t7S z#=x#6QJ)!DyagoZImA6$=9%EKmc;!0?_Qf`p!820i?dyL6BT(aX*ZtJXd#KMX5$f6 zZ)OPU))?l^v??WDFsB)h3MYz}(pEi);UW&ixCx?~RG#v*Rt9(l{trHuKW1I*MB7Og+)yDbLEW3H#f24FJEC~D z=HN~jtpo#@~ literal 0 HcmV?d00001 From 2361aeb3676dad7fb4d4b33ca30e8df60d2e8f3a Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:55:44 +0530 Subject: [PATCH 11/27] Add files via upload --- .../Model/ensemble-learning (2).ipynb | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb diff --git a/Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb b/Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb new file mode 100644 index 000000000..504a8d66b --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":7424766,"sourceType":"datasetVersion","datasetId":4320051},{"sourceId":8685966,"sourceType":"datasetVersion","datasetId":5207707},{"sourceId":8688008,"sourceType":"datasetVersion","datasetId":5209154},{"sourceId":8770920,"sourceType":"datasetVersion","datasetId":5270788}],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","scrolled":true,"execution":{"iopub.status.busy":"2024-06-13T16:31:22.356814Z","iopub.execute_input":"2024-06-13T16:31:22.357220Z","iopub.status.idle":"2024-06-13T16:31:22.423068Z","shell.execute_reply.started":"2024-06-13T16:31:22.357191Z","shell.execute_reply":"2024-06-13T16:31:22.422012Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pip install split-folders\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:55:26.383491Z","iopub.execute_input":"2024-06-24T05:55:26.384185Z","iopub.status.idle":"2024-06-24T05:55:39.570938Z","shell.execute_reply.started":"2024-06-24T05:55:26.384154Z","shell.execute_reply":"2024-06-24T05:55:39.569863Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Collecting split-folders\n Downloading split_folders-0.5.1-py3-none-any.whl.metadata (6.2 kB)\nDownloading split_folders-0.5.1-py3-none-any.whl (8.4 kB)\nInstalling collected packages: split-folders\nSuccessfully installed split-folders-0.5.1\nNote: you may need to restart the kernel to use updated packages.\n","output_type":"stream"}]},{"cell_type":"code","source":"import cv2\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport os\nfrom PIL import Image\nimport splitfolders\nimport shutil\nimport seaborn as sns\nimport plotly.express as px\nimport keras \nfrom sklearn.metrics import confusion_matrix , classification_report \nfrom sklearn.preprocessing import LabelBinarizer\nfrom sklearn.metrics import roc_curve, auc, roc_auc_score\n\nfrom IPython.display import clear_output\nimport warnings\nwarnings.filterwarnings('ignore')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:55:57.549238Z","iopub.execute_input":"2024-06-24T05:55:57.549607Z","iopub.status.idle":"2024-06-24T05:56:10.523818Z","shell.execute_reply.started":"2024-06-24T05:55:57.549577Z","shell.execute_reply":"2024-06-24T05:56:10.523011Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stderr","text":"2024-06-24 05:56:00.832062: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-06-24 05:56:00.832157: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-06-24 05:56:00.959636: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"path = \"/kaggle/input/sugarcane-leaf-disease-dataset\"\nprint(os.listdir(path))","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:10.525501Z","iopub.execute_input":"2024-06-24T05:56:10.526473Z","iopub.status.idle":"2024-06-24T05:56:10.534631Z","shell.execute_reply.started":"2024-06-24T05:56:10.526433Z","shell.execute_reply":"2024-06-24T05:56:10.533805Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"['Yellow', 'Mosaic', 'Healthy', 'RedRot', 'Rust']\n","output_type":"stream"}]},{"cell_type":"code","source":"splitfolders.ratio(path,seed=1337, output=\"Sugarcane-Splitted\", ratio=(0.6, 0.2, 0.2))\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:10.535839Z","iopub.execute_input":"2024-06-24T05:56:10.537689Z","iopub.status.idle":"2024-06-24T05:56:22.887281Z","shell.execute_reply.started":"2024-06-24T05:56:10.537659Z","shell.execute_reply":"2024-06-24T05:56:22.886464Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stderr","text":"Copying files: 2521 files [00:12, 206.67 files/s]\n","output_type":"stream"}]},{"cell_type":"code","source":"import cv2\n\nimg_path = \"/kaggle/working/Sugarcane-Splitted/train/Yellow/yellow (337).jpeg\"\nimage = cv2.imread(img_path)\nif image is not None:\n image_shape = image.shape\n print(\"Image shape:\", image_shape)\nelse:\n print(\"Error: Image not found or could not be loaded.\")\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:22.889216Z","iopub.execute_input":"2024-06-24T05:56:22.889496Z","iopub.status.idle":"2024-06-24T05:56:22.914608Z","shell.execute_reply.started":"2024-06-24T05:56:22.889472Z","shell.execute_reply":"2024-06-24T05:56:22.913861Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"Image shape: (1040, 493, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n\ntrain_datagen = ImageDataGenerator(rescale=1./255)\nval_datagen = ImageDataGenerator(rescale=1./255)\ntest_datagen = ImageDataGenerator(rescale=1./255)\n\n\ninput_shape= (260, 123, 3)\n\ntrain_dir = '/kaggle/working/Sugarcane-Splitted/train'\nval_dir = '/kaggle/working/Sugarcane-Splitted/val'\ntest_dir = '/kaggle/working/Sugarcane-Splitted/test'\n\ntrain_datagen = ImageDataGenerator(\n rescale=1./255,\n rotation_range=20,\n width_shift_range=0.2,\n height_shift_range=0.2,\n shear_range=0.2,\n zoom_range=0.2,\n horizontal_flip=True,\n fill_mode='nearest'\n)\n\nval_datagen = ImageDataGenerator(rescale=1./255)\ntarget_size = (224, 224)\n\ntrain_generator = train_datagen.flow_from_directory(\n train_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical'\n)\n\nval_generator = val_datagen.flow_from_directory(\n val_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical'\n)\n\n\ntest_datagen = ImageDataGenerator(rescale=1./255)\ntest_generator = test_datagen.flow_from_directory(\n test_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical',\n shuffle=False \n)\n\nimg_shape = train_generator.image_shape\nprint(\"Image dimensions:\", img_shape)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:53:24.067701Z","iopub.execute_input":"2024-06-24T06:53:24.068487Z","iopub.status.idle":"2024-06-24T06:53:24.179033Z","shell.execute_reply.started":"2024-06-24T06:53:24.068455Z","shell.execute_reply":"2024-06-24T06:53:24.178149Z"},"trusted":true},"execution_count":44,"outputs":[{"name":"stdout","text":"Found 1511 images belonging to 5 classes.\nFound 502 images belonging to 5 classes.\nFound 508 images belonging to 5 classes.\nImage dimensions: (224, 224, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\ndef display_images(generator, num_rows=4, num_cols=4):\n \n images, labels = next(generator)\n\n \n class_indices = generator.class_indices\n\n \n CLASS_LABELS = [\"Healthy\", \"Yellow\", \"RedRot\", \"Mosaic\", \"Rust\"]\n\n \n class_names = [CLASS_LABELS[index] for index in range(len(CLASS_LABELS))]\n\n\n\n \n plt.figure(figsize=(10, 10))\n for i in range(num_rows * num_cols):\n plt.subplot(num_rows, num_cols, i + 1)\n plt.imshow(images[i])\n plt.title(f\"Class: {class_names[np.argmax(labels[i])]}\")\n plt.axis('off')\n\n plt.show()\n\n\ndisplay_images(train_generator)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:52:46.567893Z","iopub.execute_input":"2024-06-24T06:52:46.568225Z","iopub.status.idle":"2024-06-24T06:52:48.473918Z","shell.execute_reply.started":"2024-06-24T06:52:46.568200Z","shell.execute_reply":"2024-06-24T06:52:48.472950Z"},"trusted":true},"execution_count":43,"outputs":[{"output_type":"display_data","data":{"text/plain":"

","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"First Model Architecture\n","metadata":{}},{"cell_type":"code","source":"from keras.models import Sequential\nfrom keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, BatchNormalization\n\nmodel2 = Sequential()\n\nmodel2.add(Conv2D(32, (3, 3), input_shape=(224, 224, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Conv2D(64, (3, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Conv2D(128, (3, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Flatten())\n\nmodel2.add(Dense(512, activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(Dropout(0.5))\n\nmodel2.add(Dense(256, activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(Dropout(0.5))\n\nmodel2.add(Dense(5, activation='softmax'))\n\nmodel2.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n\nmodel2.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:22:37.811407Z","iopub.execute_input":"2024-06-24T08:22:37.812220Z","iopub.status.idle":"2024-06-24T08:22:38.086219Z","shell.execute_reply.started":"2024-06-24T08:22:37.812187Z","shell.execute_reply":"2024-06-24T08:22:38.085365Z"},"trusted":true},"execution_count":92,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential_1\"\u001b[0m\n","text/html":"
Model: \"sequential_1\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ conv2d_567 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m896\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_581 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_27 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_28 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_568 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m18,496\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_582 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_28 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_29 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_569 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m73,856\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_583 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_29 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_30 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m86528\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_60 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m44,302,848\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_584 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_31 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_61 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m131,328\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_585 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_32 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_62 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m1,285\u001b[0m โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)                    โ”ƒ Output Shape           โ”ƒ       Param # โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ conv2d_567 (Conv2D)             โ”‚ (None, 222, 222, 32)   โ”‚           896 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_581         โ”‚ (None, 222, 222, 32)   โ”‚           128 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_27 (MaxPooling2D) โ”‚ (None, 111, 111, 32)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_28 (Dropout)            โ”‚ (None, 111, 111, 32)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_568 (Conv2D)             โ”‚ (None, 109, 109, 64)   โ”‚        18,496 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_582         โ”‚ (None, 109, 109, 64)   โ”‚           256 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_28 (MaxPooling2D) โ”‚ (None, 54, 54, 64)     โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_29 (Dropout)            โ”‚ (None, 54, 54, 64)     โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_569 (Conv2D)             โ”‚ (None, 52, 52, 128)    โ”‚        73,856 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_583         โ”‚ (None, 52, 52, 128)    โ”‚           512 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_29 (MaxPooling2D) โ”‚ (None, 26, 26, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_30 (Dropout)            โ”‚ (None, 26, 26, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ flatten_1 (Flatten)             โ”‚ (None, 86528)          โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_60 (Dense)                โ”‚ (None, 512)            โ”‚    44,302,848 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_584         โ”‚ (None, 512)            โ”‚         2,048 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_31 (Dropout)            โ”‚ (None, 512)            โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_61 (Dense)                โ”‚ (None, 256)            โ”‚       131,328 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_585         โ”‚ (None, 256)            โ”‚         1,024 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_32 (Dropout)            โ”‚ (None, 256)            โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_62 (Dense)                โ”‚ (None, 5)              โ”‚         1,285 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m44,532,677\u001b[0m (169.88 MB)\n","text/html":"
 Total params: 44,532,677 (169.88 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m44,530,693\u001b[0m (169.87 MB)\n","text/html":"
 Trainable params: 44,530,693 (169.87 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m1,984\u001b[0m (7.75 KB)\n","text/html":"
 Non-trainable params: 1,984 (7.75 KB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"\nfrom keras.callbacks import ReduceLROnPlateau, EarlyStopping\n\n\nmodel_checkpoint = ModelCheckpoint('inceptionv3_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nepochs = 40\nhistory = model2.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)\n\n\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:48:17.687512Z","iopub.execute_input":"2024-06-24T08:48:17.688356Z","iopub.status.idle":"2024-06-24T09:07:33.063991Z","shell.execute_reply.started":"2024-06-24T08:48:17.688319Z","shell.execute_reply":"2024-06-24T09:07:33.063098Z"},"trusted":true},"execution_count":101,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.5353 - loss: 1.3409\nEpoch 1: val_accuracy improved from -inf to 0.18327, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 570ms/step - accuracy: 0.5357 - loss: 1.3394 - val_accuracy: 0.1833 - val_loss: 18.4986 - learning_rate: 0.0010\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 447ms/step - accuracy: 0.6025 - loss: 1.1096\nEpoch 2: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 525ms/step - accuracy: 0.6028 - loss: 1.1084 - val_accuracy: 0.1833 - val_loss: 13.6835 - learning_rate: 0.0010\nEpoch 3/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6199 - loss: 1.0413\nEpoch 3: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.6201 - loss: 1.0409 - val_accuracy: 0.1833 - val_loss: 13.4558 - learning_rate: 0.0010\nEpoch 4/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.6388 - loss: 1.0010\nEpoch 4: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 521ms/step - accuracy: 0.6386 - loss: 1.0013 - val_accuracy: 0.1833 - val_loss: 11.3378 - learning_rate: 0.0010\nEpoch 5/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.6288 - loss: 0.9499\nEpoch 5: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6291 - loss: 0.9496 - val_accuracy: 0.1833 - val_loss: 6.9379 - learning_rate: 0.0010\nEpoch 6/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6690 - loss: 0.8498\nEpoch 6: val_accuracy improved from 0.18327 to 0.23506, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 556ms/step - accuracy: 0.6691 - loss: 0.8498 - val_accuracy: 0.2351 - val_loss: 4.5784 - learning_rate: 0.0010\nEpoch 7/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6795 - loss: 0.9295\nEpoch 7: val_accuracy did not improve from 0.23506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.6793 - loss: 0.9288 - val_accuracy: 0.2112 - val_loss: 6.3821 - learning_rate: 0.0010\nEpoch 8/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 427ms/step - accuracy: 0.6955 - loss: 0.8469\nEpoch 8: val_accuracy improved from 0.23506 to 0.31474, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 552ms/step - accuracy: 0.6953 - loss: 0.8474 - val_accuracy: 0.3147 - val_loss: 2.6314 - learning_rate: 0.0010\nEpoch 9/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.6721 - loss: 0.8497\nEpoch 9: val_accuracy improved from 0.31474 to 0.47012, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 560ms/step - accuracy: 0.6724 - loss: 0.8492 - val_accuracy: 0.4701 - val_loss: 1.6875 - learning_rate: 0.0010\nEpoch 10/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7195 - loss: 0.7820\nEpoch 10: val_accuracy did not improve from 0.47012\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7195 - loss: 0.7823 - val_accuracy: 0.4183 - val_loss: 1.9135 - learning_rate: 0.0010\nEpoch 11/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 427ms/step - accuracy: 0.7145 - loss: 0.7225\nEpoch 11: val_accuracy did not improve from 0.47012\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 501ms/step - accuracy: 0.7147 - loss: 0.7224 - val_accuracy: 0.4004 - val_loss: 3.4161 - learning_rate: 0.0010\nEpoch 12/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7153 - loss: 0.7980\nEpoch 12: val_accuracy improved from 0.47012 to 0.55578, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 556ms/step - accuracy: 0.7153 - loss: 0.7976 - val_accuracy: 0.5558 - val_loss: 1.5413 - learning_rate: 0.0010\nEpoch 13/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 442ms/step - accuracy: 0.7210 - loss: 0.7303\nEpoch 13: val_accuracy did not improve from 0.55578\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 519ms/step - accuracy: 0.7209 - loss: 0.7305 - val_accuracy: 0.5378 - val_loss: 1.4778 - learning_rate: 0.0010\nEpoch 14/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7475 - loss: 0.6624\nEpoch 14: val_accuracy improved from 0.55578 to 0.57570, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 560ms/step - accuracy: 0.7472 - loss: 0.6637 - val_accuracy: 0.5757 - val_loss: 1.1399 - learning_rate: 0.0010\nEpoch 15/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7578 - loss: 0.6489\nEpoch 15: val_accuracy improved from 0.57570 to 0.69323, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 557ms/step - accuracy: 0.7575 - loss: 0.6493 - val_accuracy: 0.6932 - val_loss: 0.8029 - learning_rate: 0.0010\nEpoch 16/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7600 - loss: 0.6506\nEpoch 16: val_accuracy did not improve from 0.69323\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7598 - loss: 0.6507 - val_accuracy: 0.5438 - val_loss: 1.4752 - learning_rate: 0.0010\nEpoch 17/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7742 - loss: 0.5993\nEpoch 17: val_accuracy did not improve from 0.69323\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7740 - loss: 0.5999 - val_accuracy: 0.5717 - val_loss: 1.2891 - learning_rate: 0.0010\nEpoch 18/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7608 - loss: 0.6373\nEpoch 18: val_accuracy improved from 0.69323 to 0.74104, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 553ms/step - accuracy: 0.7608 - loss: 0.6373 - val_accuracy: 0.7410 - val_loss: 0.6866 - learning_rate: 0.0010\nEpoch 19/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7562 - loss: 0.6182\nEpoch 19: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7563 - loss: 0.6185 - val_accuracy: 0.5518 - val_loss: 1.3742 - learning_rate: 0.0010\nEpoch 20/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 428ms/step - accuracy: 0.7642 - loss: 0.6314\nEpoch 20: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7643 - loss: 0.6313 - val_accuracy: 0.4721 - val_loss: 2.2594 - learning_rate: 0.0010\nEpoch 21/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7846 - loss: 0.6073\nEpoch 21: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7844 - loss: 0.6073 - val_accuracy: 0.7052 - val_loss: 0.8557 - learning_rate: 0.0010\nEpoch 22/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7962 - loss: 0.5384\nEpoch 22: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7963 - loss: 0.5386 - val_accuracy: 0.7410 - val_loss: 0.6646 - learning_rate: 0.0010\nEpoch 23/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7698 - loss: 0.5934\nEpoch 23: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7699 - loss: 0.5932 - val_accuracy: 0.6155 - val_loss: 0.9930 - learning_rate: 0.0010\nEpoch 24/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7944 - loss: 0.5348\nEpoch 24: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7941 - loss: 0.5357 - val_accuracy: 0.6773 - val_loss: 0.8424 - learning_rate: 0.0010\nEpoch 25/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7971 - loss: 0.5388\nEpoch 25: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 503ms/step - accuracy: 0.7972 - loss: 0.5388 - val_accuracy: 0.7251 - val_loss: 0.7928 - learning_rate: 0.0010\nEpoch 26/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.8000 - loss: 0.5457\nEpoch 26: val_accuracy improved from 0.74104 to 0.75299, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 554ms/step - accuracy: 0.8002 - loss: 0.5452 - val_accuracy: 0.7530 - val_loss: 0.7401 - learning_rate: 0.0010\nEpoch 27/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 442ms/step - accuracy: 0.7904 - loss: 0.5179\nEpoch 27: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 27: val_accuracy did not improve from 0.75299\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7908 - loss: 0.5171 - val_accuracy: 0.6833 - val_loss: 0.8404 - learning_rate: 0.0010\nEpoch 28/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 428ms/step - accuracy: 0.8211 - loss: 0.4977\nEpoch 28: val_accuracy improved from 0.75299 to 0.82669, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 552ms/step - accuracy: 0.8214 - loss: 0.4968 - val_accuracy: 0.8267 - val_loss: 0.4684 - learning_rate: 1.0000e-04\nEpoch 29/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.8363 - loss: 0.4685\nEpoch 29: val_accuracy improved from 0.82669 to 0.84661, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 566ms/step - accuracy: 0.8363 - loss: 0.4683 - val_accuracy: 0.8466 - val_loss: 0.4421 - learning_rate: 1.0000e-04\nEpoch 30/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.8658 - loss: 0.3958\nEpoch 30: val_accuracy improved from 0.84661 to 0.85060, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 557ms/step - accuracy: 0.8654 - loss: 0.3966 - val_accuracy: 0.8506 - val_loss: 0.4161 - learning_rate: 1.0000e-04\nEpoch 31/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.8418 - loss: 0.4051\nEpoch 31: val_accuracy did not improve from 0.85060\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.8416 - loss: 0.4055 - val_accuracy: 0.8127 - val_loss: 0.5276 - learning_rate: 1.0000e-04\nEpoch 32/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.8349 - loss: 0.4287\nEpoch 32: val_accuracy did not improve from 0.85060\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.8351 - loss: 0.4285 - val_accuracy: 0.8287 - val_loss: 0.4647 - learning_rate: 1.0000e-04\nEpoch 33/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.8599 - loss: 0.3777\nEpoch 33: val_accuracy improved from 0.85060 to 0.85259, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 555ms/step - accuracy: 0.8598 - loss: 0.3781 - val_accuracy: 0.8526 - val_loss: 0.4069 - learning_rate: 1.0000e-04\nEpoch 34/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.8509 - loss: 0.4017\nEpoch 34: val_accuracy improved from 0.85259 to 0.86653, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 561ms/step - accuracy: 0.8509 - loss: 0.4019 - val_accuracy: 0.8665 - val_loss: 0.3727 - learning_rate: 1.0000e-04\nEpoch 35/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 452ms/step - accuracy: 0.8529 - loss: 0.3952\nEpoch 35: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 525ms/step - accuracy: 0.8529 - loss: 0.3955 - val_accuracy: 0.7948 - val_loss: 0.6215 - learning_rate: 1.0000e-04\nEpoch 36/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.8572 - loss: 0.4037\nEpoch 36: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.8572 - loss: 0.4034 - val_accuracy: 0.8625 - val_loss: 0.3769 - learning_rate: 1.0000e-04\nEpoch 37/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.8606 - loss: 0.3785\nEpoch 37: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.8606 - loss: 0.3783 - val_accuracy: 0.7988 - val_loss: 0.6632 - learning_rate: 1.0000e-04\nEpoch 38/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.8548 - loss: 0.3995\nEpoch 38: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.8547 - loss: 0.3997 - val_accuracy: 0.8546 - val_loss: 0.3832 - learning_rate: 1.0000e-04\nEpoch 39/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.8480 - loss: 0.4061\nEpoch 39: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 39: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.8482 - loss: 0.4058 - val_accuracy: 0.8586 - val_loss: 0.3976 - learning_rate: 1.0000e-04\nEpoch 40/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.8619 - loss: 0.3729\nEpoch 40: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.8619 - loss: 0.3729 - val_accuracy: 0.8586 - val_loss: 0.4002 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = model2.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:08:01.787461Z","iopub.execute_input":"2024-06-24T09:08:01.787825Z","iopub.status.idle":"2024-06-24T09:08:08.734751Z","shell.execute_reply.started":"2024-06-24T09:08:01.787795Z","shell.execute_reply":"2024-06-24T09:08:08.733846Z"},"trusted":true},"execution_count":102,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 418ms/step - accuracy: 0.8278 - loss: 0.4176\nTest loss: 0.40044909715652466\nTest accuracy: 0.8484252095222473\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220088.717370 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"}]},{"cell_type":"code","source":"model2.save('model2_84percentacc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:08:39.723501Z","iopub.execute_input":"2024-06-24T09:08:39.724096Z","iopub.status.idle":"2024-06-24T09:08:40.819185Z","shell.execute_reply.started":"2024-06-24T09:08:39.724066Z","shell.execute_reply":"2024-06-24T09:08:40.818393Z"},"trusted":true},"execution_count":103,"outputs":[]},{"cell_type":"markdown","source":"Using Pre Trained Models\n","metadata":{}},{"cell_type":"code","source":"from keras.applications import VGG16\nfrom keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nvgg16_model = VGG16(weights='imagenet', include_top=False, input_shape=(224,224, 3))\n\nfeature_extractor = Model(inputs=vgg16_model.input, outputs=vgg16_model.get_layer('block4_pool').output)\n\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\nmodel16 = Model(inputs=feature_extractor.input, outputs=output)\n\n\nmodel16.compile(optimizer=Adam(learning_rate=0.001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodel16.summary()\n\n\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:11:54.797192Z","iopub.execute_input":"2024-06-24T07:11:54.797812Z","iopub.status.idle":"2024-06-24T07:11:55.101074Z","shell.execute_reply.started":"2024-06-24T07:11:54.797779Z","shell.execute_reply":"2024-06-24T07:11:55.100145Z"},"trusted":true},"execution_count":52,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_43\"\u001b[0m\n","text/html":"
Model: \"functional_43\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_17 (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m1,792\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m73,856\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m295,168\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,180,160\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooling2d_17 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_42 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m525,312\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_43 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)                    โ”ƒ Output Shape           โ”ƒ       Param # โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_17 (InputLayer)     โ”‚ (None, 224, 224, 3)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv1 (Conv2D)           โ”‚ (None, 224, 224, 64)   โ”‚         1,792 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv2 (Conv2D)           โ”‚ (None, 224, 224, 64)   โ”‚        36,928 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_pool (MaxPooling2D)      โ”‚ (None, 112, 112, 64)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv1 (Conv2D)           โ”‚ (None, 112, 112, 128)  โ”‚        73,856 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv2 (Conv2D)           โ”‚ (None, 112, 112, 128)  โ”‚       147,584 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_pool (MaxPooling2D)      โ”‚ (None, 56, 56, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv1 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       295,168 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv2 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       590,080 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv3 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       590,080 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_pool (MaxPooling2D)      โ”‚ (None, 28, 28, 256)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv1 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     1,180,160 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv2 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     2,359,808 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv3 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     2,359,808 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_pool (MaxPooling2D)      โ”‚ (None, 14, 14, 512)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooling2d_17     โ”‚ (None, 512)            โ”‚             0 โ”‚\nโ”‚ (GlobalAveragePooling2D)        โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_42 (Dense)                โ”‚ (None, 1024)           โ”‚       525,312 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_43 (Dense)                โ”‚ (None, 5)              โ”‚         5,125 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,165,701\u001b[0m (31.15 MB)\n","text/html":"
 Total params: 8,165,701 (31.15 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m530,437\u001b[0m (2.02 MB)\n","text/html":"
 Trainable params: 530,437 (2.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m7,635,264\u001b[0m (29.13 MB)\n","text/html":"
 Non-trainable params: 7,635,264 (29.13 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"epochs = 17\n\nhistory = model16.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:36:27.261778Z","iopub.execute_input":"2024-06-24T07:36:27.262375Z","iopub.status.idle":"2024-06-24T07:41:13.902865Z","shell.execute_reply.started":"2024-06-24T07:36:27.262341Z","shell.execute_reply":"2024-06-24T07:41:13.902050Z"},"trusted":true},"execution_count":60,"outputs":[{"name":"stdout","text":"Epoch 1/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.6507 - loss: 0.8859","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719214614.511715 141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 549ms/step - accuracy: 0.6506 - loss: 0.8862 - val_accuracy: 0.7251 - val_loss: 0.7658 - learning_rate: 0.0010\nEpoch 2/17\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719214618.128470 141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 443ms/step - accuracy: 0.6751 - loss: 0.8348\nEpoch 2: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6755 - loss: 0.8336 - val_accuracy: 0.6574 - val_loss: 0.9390 - learning_rate: 0.0010\nEpoch 3/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6767 - loss: 0.8283\nEpoch 3: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.6771 - loss: 0.8274 - val_accuracy: 0.7610 - val_loss: 0.6719 - learning_rate: 0.0010\nEpoch 4/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.7568 - loss: 0.6717\nEpoch 4: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.7566 - loss: 0.6719 - val_accuracy: 0.7231 - val_loss: 0.7189 - learning_rate: 0.0010\nEpoch 5/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7833 - loss: 0.5983\nEpoch 5: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.7825 - loss: 0.5997 - val_accuracy: 0.6793 - val_loss: 0.8659 - learning_rate: 0.0010\nEpoch 6/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7607 - loss: 0.6344\nEpoch 6: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7604 - loss: 0.6354 - val_accuracy: 0.7749 - val_loss: 0.6255 - learning_rate: 0.0010\nEpoch 7/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7707 - loss: 0.6229\nEpoch 7: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 516ms/step - accuracy: 0.7709 - loss: 0.6225 - val_accuracy: 0.7849 - val_loss: 0.5701 - learning_rate: 0.0010\nEpoch 8/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.7994 - loss: 0.5884\nEpoch 8: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 519ms/step - accuracy: 0.7992 - loss: 0.5884 - val_accuracy: 0.7749 - val_loss: 0.6136 - learning_rate: 0.0010\nEpoch 9/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 445ms/step - accuracy: 0.7864 - loss: 0.5555\nEpoch 9: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7866 - loss: 0.5553 - val_accuracy: 0.7649 - val_loss: 0.6434 - learning_rate: 0.0010\nEpoch 10/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 447ms/step - accuracy: 0.7955 - loss: 0.5735\nEpoch 10: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7956 - loss: 0.5728 - val_accuracy: 0.8108 - val_loss: 0.5511 - learning_rate: 0.0010\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:33:47.939208Z","iopub.execute_input":"2024-06-24T07:33:47.939563Z","iopub.status.idle":"2024-06-24T07:33:48.209402Z","shell.execute_reply.started":"2024-06-24T07:33:47.939536Z","shell.execute_reply":"2024-06-24T07:33:48.208515Z"},"trusted":true},"execution_count":54,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"test_loss, test_accuracy = model.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:42:48.818729Z","iopub.execute_input":"2024-06-24T07:42:48.819083Z","iopub.status.idle":"2024-06-24T07:42:52.935078Z","shell.execute_reply.started":"2024-06-24T07:42:48.819056Z","shell.execute_reply":"2024-06-24T07:42:52.934032Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 221ms/step - accuracy: 0.8335 - loss: 0.4393\nTest loss: 0.44055408239364624\nTest accuracy: 0.8287401795387268\n","output_type":"stream"}]},{"cell_type":"code","source":"model.save('82_test_acc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:35:28.936250Z","iopub.execute_input":"2024-06-24T07:35:28.936802Z","iopub.status.idle":"2024-06-24T07:35:29.017422Z","shell.execute_reply.started":"2024-06-24T07:35:28.936774Z","shell.execute_reply":"2024-06-24T07:35:29.016665Z"},"trusted":true},"execution_count":58,"outputs":[]},{"cell_type":"markdown","source":"MobileNetV2","metadata":{}},{"cell_type":"code","source":"from keras.applications import MobileNetV2\nfrom keras.layers import Dense, GlobalAveragePooling2D, Dropout\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nmobilenet_model = MobileNetV2(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nfeature_extractor = Model(inputs=mobilenet_model.input, outputs=mobilenet_model.output)\n\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dropout(0.5)(x) \nx = Dense(1024, activation='relu')(x)\nx = Dense(512, activation='relu')(x) \noutput = Dense(5, activation='softmax')(x) \n\nmodelV2 = Model(inputs=feature_extractor.input, outputs=output)\n\nmodelV2.compile(optimizer=Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodel_checkpoint = ModelCheckpoint('mobilenet_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodelV2.summary()","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:54:42.838785Z","iopub.execute_input":"2024-06-24T06:54:42.839142Z","iopub.status.idle":"2024-06-24T06:54:43.874046Z","shell.execute_reply.started":"2024-06-24T06:54:42.839116Z","shell.execute_reply":"2024-06-24T06:54:43.873102Z"},"trusted":true},"execution_count":46,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_35\"\u001b[0m\n","text/html":"
Model: \"functional_35\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_15 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ input_layer_15[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ bn_Conv1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1_relu (\u001b[38;5;33mReLU\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ bn_Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ Conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m16\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m64\u001b[0m โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m16\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_1_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m113\u001b[0m, \u001b[38;5;34m113\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ block_1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ block_1_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_2_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_2_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,296\u001b[0m โ”‚ block_2_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ block_2_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ block_2_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_2_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_3_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,296\u001b[0m โ”‚ block_3_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m4,608\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_3_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_4_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_4_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_4_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ block_4_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_5_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_5_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_5_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_5_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ block_5_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_5_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_6_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_6_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_6_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_7_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_7_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_7_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_7_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_8_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_8_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_8_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_8_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_9_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_9_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_9_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_9_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_9_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_9_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_10_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m36,864\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_11_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_11_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ block_11_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_12_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_12_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ block_12_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_12_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_13_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_13_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m92,160\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_14_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_14_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ block_14_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_15_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_15_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ block_15_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_15_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_16_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m307,200\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m1,280\u001b[0m โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m409,600\u001b[0m โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m5,120\u001b[0m โ”‚ Conv_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ out_relu (\u001b[38;5;33mReLU\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ Conv_1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ out_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_21 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDropout\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_37 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m1,311,744\u001b[0m โ”‚ dropout_21[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_38 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m524,800\u001b[0m โ”‚ dense_37[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_39 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m2,565\u001b[0m โ”‚ dense_38[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_15      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1 (Conv2D)      โ”‚ (None, 112, 112,  โ”‚        864 โ”‚ input_layer_15[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ bn_Conv1            โ”‚ (None, 112, 112,  โ”‚        128 โ”‚ Conv1[0][0]       โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1_relu (ReLU)   โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ bn_Conv1[0][0]    โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚        288 โ”‚ Conv1_relu[0][0]  โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚        128 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (None, 112, 112,  โ”‚        512 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 16)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (None, 112, 112,  โ”‚         64 โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 16)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand      โ”‚ (None, 112, 112,  โ”‚      1,536 โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_BN   โ”‚ (None, 112, 112,  โ”‚        384 โ”‚ block_1_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_relu โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ block_1_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_pad         โ”‚ (None, 113, 113,  โ”‚          0 โ”‚ block_1_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise   โ”‚ (None, 56, 56,    โ”‚        864 โ”‚ block_1_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚        384 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project     โ”‚ (None, 56, 56,    โ”‚      2,304 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project_BN  โ”‚ (None, 56, 56,    โ”‚         96 โ”‚ block_1_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand      โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_BN   โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_2_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_2_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise   โ”‚ (None, 56, 56,    โ”‚      1,296 โ”‚ block_2_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project     โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project_BN  โ”‚ (None, 56, 56,    โ”‚         96 โ”‚ block_2_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_add (Add)   โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 24)               โ”‚            โ”‚ block_2_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand      โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_2_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_BN   โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_3_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_3_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_pad         โ”‚ (None, 57, 57,    โ”‚          0 โ”‚ block_3_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,296 โ”‚ block_3_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        576 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project     โ”‚ (None, 28, 28,    โ”‚      4,608 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_3_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_4_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,728 โ”‚ block_4_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project     โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_4_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_add (Add)   โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚ block_4_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_4_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_5_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_5_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,728 โ”‚ block_5_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project     โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_5_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_add (Add)   โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚ block_5_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_5_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_6_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_6_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_pad         โ”‚ (None, 29, 29,    โ”‚          0 โ”‚ block_6_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise   โ”‚ (None, 14, 14,    โ”‚      1,728 โ”‚ block_6_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚        768 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project     โ”‚ (None, 14, 14,    โ”‚     12,288 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_6_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_7_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_7_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_7_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_7_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_7_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_8_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_8_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_8_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_8_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_8_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_9_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_9_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_9_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_9_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_9_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_9_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_BN  โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_10_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwise  โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project    โ”‚ (None, 14, 14,    โ”‚     36,864 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_11_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwise  โ”‚ (None, 14, 14,    โ”‚      5,184 โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project    โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_11_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_add (Add)  โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚ block_11_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_11_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_12_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwise  โ”‚ (None, 14, 14,    โ”‚      5,184 โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project    โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_12_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_add (Add)  โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_add[0][โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚ block_12_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_12_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_13_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_pad        โ”‚ (None, 15, 15,    โ”‚          0 โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwise  โ”‚ (None, 7, 7, 576) โ”‚      5,184 โ”‚ block_13_pad[0][โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (None, 7, 7, 576) โ”‚      2,304 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (None, 7, 7, 576) โ”‚          0 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project    โ”‚ (None, 7, 7, 160) โ”‚     92,160 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_14_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project    โ”‚ (None, 7, 7, 160) โ”‚    153,600 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_14_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_add (Add)  โ”‚ (None, 7, 7, 160) โ”‚          0 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ block_14_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_14_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_15_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project    โ”‚ (None, 7, 7, 160) โ”‚    153,600 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_15_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_add (Add)  โ”‚ (None, 7, 7, 160) โ”‚          0 โ”‚ block_14_add[0][โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ block_15_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_15_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_16_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project    โ”‚ (None, 7, 7, 320) โ”‚    307,200 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project_BN โ”‚ (None, 7, 7, 320) โ”‚      1,280 โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1 (Conv2D)     โ”‚ (None, 7, 7,      โ”‚    409,600 โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚                     โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1_bn           โ”‚ (None, 7, 7,      โ”‚      5,120 โ”‚ Conv_1[0][0]      โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ out_relu (ReLU)     โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ Conv_1_bn[0][0]   โ”‚\nโ”‚                     โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 1280)      โ”‚          0 โ”‚ out_relu[0][0]    โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_21          โ”‚ (None, 1280)      โ”‚          0 โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (Dropout)           โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_37 (Dense)    โ”‚ (None, 1024)      โ”‚  1,311,744 โ”‚ dropout_21[0][0]  โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_38 (Dense)    โ”‚ (None, 512)       โ”‚    524,800 โ”‚ dense_37[0][0]    โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_39 (Dense)    โ”‚ (None, 5)         โ”‚      2,565 โ”‚ dense_38[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m4,097,093\u001b[0m (15.63 MB)\n","text/html":"
 Total params: 4,097,093 (15.63 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,839,109\u001b[0m (7.02 MB)\n","text/html":"
 Trainable params: 1,839,109 (7.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,257,984\u001b[0m (8.61 MB)\n","text/html":"
 Non-trainable params: 2,257,984 (8.61 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"epochs = 40\n\nhistory = modelV2.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:54:59.400852Z","iopub.execute_input":"2024-06-24T06:54:59.401422Z","iopub.status.idle":"2024-06-24T07:09:55.268520Z","shell.execute_reply.started":"2024-06-24T06:54:59.401388Z","shell.execute_reply":"2024-06-24T07:09:55.267766Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m 1/48\u001b[0m \u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m13:43\u001b[0m 18s/step - accuracy: 0.1562 - loss: 2.0710","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212117.938617 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 541ms/step - accuracy: 0.3161 - loss: 1.6175","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212146.880511 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.69721, saving model to mobilenet_model.keras\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212155.603070 142 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m57s\u001b[0m 831ms/step - accuracy: 0.3200 - loss: 1.6095 - val_accuracy: 0.6972 - val_loss: 0.9503 - learning_rate: 1.0000e-04\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.5971 - loss: 1.0513\nEpoch 2: val_accuracy did not improve from 0.69721\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.5971 - loss: 1.0508 - val_accuracy: 0.6853 - val_loss: 0.8290 - learning_rate: 1.0000e-04\nEpoch 3/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 444ms/step - accuracy: 0.6294 - loss: 0.9272\nEpoch 3: val_accuracy improved from 0.69721 to 0.73307, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 521ms/step - accuracy: 0.6303 - loss: 0.9253 - val_accuracy: 0.7331 - val_loss: 0.7159 - learning_rate: 1.0000e-04\nEpoch 4/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.6929 - loss: 0.8332\nEpoch 4: val_accuracy improved from 0.73307 to 0.74701, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6928 - loss: 0.8325 - val_accuracy: 0.7470 - val_loss: 0.6468 - learning_rate: 1.0000e-04\nEpoch 5/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.6886 - loss: 0.7870\nEpoch 5: val_accuracy improved from 0.74701 to 0.77689, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 519ms/step - accuracy: 0.6884 - loss: 0.7873 - val_accuracy: 0.7769 - val_loss: 0.5862 - learning_rate: 1.0000e-04\nEpoch 6/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7364 - loss: 0.7034\nEpoch 6: val_accuracy improved from 0.77689 to 0.79681, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7357 - loss: 0.7047 - val_accuracy: 0.7968 - val_loss: 0.5454 - learning_rate: 1.0000e-04\nEpoch 7/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7302 - loss: 0.7255\nEpoch 7: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7294 - loss: 0.7265 - val_accuracy: 0.7689 - val_loss: 0.5589 - learning_rate: 1.0000e-04\nEpoch 8/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7188 - loss: 0.7186\nEpoch 8: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7189 - loss: 0.7187 - val_accuracy: 0.7550 - val_loss: 0.6256 - learning_rate: 1.0000e-04\nEpoch 9/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7517 - loss: 0.6591\nEpoch 9: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7513 - loss: 0.6605 - val_accuracy: 0.7809 - val_loss: 0.5619 - learning_rate: 1.0000e-04\nEpoch 10/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7231 - loss: 0.7114\nEpoch 10: val_accuracy improved from 0.79681 to 0.81076, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7237 - loss: 0.7106 - val_accuracy: 0.8108 - val_loss: 0.5098 - learning_rate: 1.0000e-04\nEpoch 11/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7329 - loss: 0.6797\nEpoch 11: val_accuracy did not improve from 0.81076\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7337 - loss: 0.6786 - val_accuracy: 0.8008 - val_loss: 0.5113 - learning_rate: 1.0000e-04\nEpoch 12/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 446ms/step - accuracy: 0.7517 - loss: 0.6430\nEpoch 12: val_accuracy improved from 0.81076 to 0.81474, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7516 - loss: 0.6436 - val_accuracy: 0.8147 - val_loss: 0.5078 - learning_rate: 1.0000e-04\nEpoch 13/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7717 - loss: 0.6254\nEpoch 13: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7713 - loss: 0.6261 - val_accuracy: 0.7809 - val_loss: 0.5567 - learning_rate: 1.0000e-04\nEpoch 14/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.7544 - loss: 0.6390\nEpoch 14: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7545 - loss: 0.6388 - val_accuracy: 0.8068 - val_loss: 0.4936 - learning_rate: 1.0000e-04\nEpoch 15/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7544 - loss: 0.6678\nEpoch 15: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7550 - loss: 0.6668 - val_accuracy: 0.8108 - val_loss: 0.4993 - learning_rate: 1.0000e-04\nEpoch 16/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 444ms/step - accuracy: 0.7616 - loss: 0.6328\nEpoch 16: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.7614 - loss: 0.6333 - val_accuracy: 0.7908 - val_loss: 0.5360 - learning_rate: 1.0000e-04\nEpoch 17/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 446ms/step - accuracy: 0.7521 - loss: 0.6502\nEpoch 17: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 512ms/step - accuracy: 0.7527 - loss: 0.6493 - val_accuracy: 0.7928 - val_loss: 0.5571 - learning_rate: 1.0000e-04\nEpoch 18/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7576 - loss: 0.6270\nEpoch 18: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7583 - loss: 0.6258 - val_accuracy: 0.8088 - val_loss: 0.5107 - learning_rate: 1.0000e-04\nEpoch 19/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.7745 - loss: 0.5864\nEpoch 19: val_accuracy improved from 0.81474 to 0.82271, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.7750 - loss: 0.5851 - val_accuracy: 0.8227 - val_loss: 0.4646 - learning_rate: 1.0000e-04\nEpoch 20/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7726 - loss: 0.5927\nEpoch 20: val_accuracy did not improve from 0.82271\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7727 - loss: 0.5922 - val_accuracy: 0.8108 - val_loss: 0.4849 - learning_rate: 1.0000e-04\nEpoch 21/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7809 - loss: 0.5966\nEpoch 21: val_accuracy improved from 0.82271 to 0.82470, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.7807 - loss: 0.5960 - val_accuracy: 0.8247 - val_loss: 0.4594 - learning_rate: 1.0000e-04\nEpoch 22/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7976 - loss: 0.5525\nEpoch 22: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7975 - loss: 0.5530 - val_accuracy: 0.7988 - val_loss: 0.5280 - learning_rate: 1.0000e-04\nEpoch 23/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7926 - loss: 0.5512\nEpoch 23: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7925 - loss: 0.5517 - val_accuracy: 0.8227 - val_loss: 0.4780 - learning_rate: 1.0000e-04\nEpoch 24/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7868 - loss: 0.5489\nEpoch 24: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7862 - loss: 0.5505 - val_accuracy: 0.8088 - val_loss: 0.5109 - learning_rate: 1.0000e-04\nEpoch 25/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7447 - loss: 0.6121\nEpoch 25: val_accuracy improved from 0.82470 to 0.83267, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7454 - loss: 0.6116 - val_accuracy: 0.8327 - val_loss: 0.4720 - learning_rate: 1.0000e-04\nEpoch 26/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7654 - loss: 0.5678\nEpoch 26: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-06.\n\nEpoch 26: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 503ms/step - accuracy: 0.7661 - loss: 0.5679 - val_accuracy: 0.8247 - val_loss: 0.4836 - learning_rate: 1.0000e-04\nEpoch 27/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7764 - loss: 0.5758\nEpoch 27: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7765 - loss: 0.5755 - val_accuracy: 0.8267 - val_loss: 0.4616 - learning_rate: 1.0000e-05\nEpoch 28/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7962 - loss: 0.5479\nEpoch 28: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 501ms/step - accuracy: 0.7965 - loss: 0.5475 - val_accuracy: 0.8207 - val_loss: 0.4689 - learning_rate: 1.0000e-05\nEpoch 29/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 445ms/step - accuracy: 0.8036 - loss: 0.5376\nEpoch 29: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.8036 - loss: 0.5366 - val_accuracy: 0.8247 - val_loss: 0.4607 - learning_rate: 1.0000e-05\nEpoch 30/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7759 - loss: 0.5691\nEpoch 30: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7763 - loss: 0.5686 - val_accuracy: 0.8207 - val_loss: 0.4681 - learning_rate: 1.0000e-05\nEpoch 31/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7993 - loss: 0.5229\nEpoch 31: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n\nEpoch 31: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7994 - loss: 0.5229 - val_accuracy: 0.8267 - val_loss: 0.4610 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = modelV2.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:10:25.410804Z","iopub.execute_input":"2024-06-24T07:10:25.411488Z","iopub.status.idle":"2024-06-24T07:10:29.447781Z","shell.execute_reply.started":"2024-06-24T07:10:25.411457Z","shell.execute_reply":"2024-06-24T07:10:29.446954Z"},"trusted":true},"execution_count":49,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 222ms/step - accuracy: 0.8321 - loss: 0.4484\nTest loss: 0.495183527469635\nTest accuracy: 0.8129921555519104\n","output_type":"stream"}]},{"cell_type":"markdown","source":"ResNet152","metadata":{}},{"cell_type":"code","source":"from keras.applications import ResNet152\nfrom keras.layers import Dense, GlobalAveragePooling2D, Dropout\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nresnet152_model = ResNet152(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nx = resnet152_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dropout(0.5)(x) \nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x) \nmodel152 = Model(inputs=resnet152_model.input, outputs=output)\n\nfor layer in resnet152_model.layers:\n layer.trainable = False\n\nmodel152.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n\n\nmodel_checkpoint = ModelCheckpoint('resnet152_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodel152.summary()\n\n","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2024-06-24T07:43:16.445332Z","iopub.execute_input":"2024-06-24T07:43:16.445690Z","iopub.status.idle":"2024-06-24T07:43:20.298966Z","shell.execute_reply.started":"2024-06-24T07:43:16.445664Z","shell.execute_reply":"2024-06-24T07:43:20.298111Z"},"trusted":true},"execution_count":64,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_45\"\u001b[0m\n","text/html":"
Model: \"functional_45\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_18 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m230\u001b[0m, \u001b[38;5;34m230\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ input_layer_18[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_conv (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m9,472\u001b[0m โ”‚ conv1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv1_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pool โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ pool1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m4,160\u001b[0m โ”‚ pool1_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ pool1_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,448\u001b[0m โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,448\u001b[0m โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m32,896\u001b[0m โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m131,584\u001b[0m โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block4_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block4_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block4_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block4_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block4_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block5_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block5_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block5_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block5_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block5_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block6_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block6_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block6_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block6_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block6_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block7_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block7_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block7_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block7_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block7_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block8_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block8_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block8_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block8_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block8_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m131,328\u001b[0m โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m525,312\u001b[0m โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block4_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block4_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block4_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block4_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block4_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block5_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block5_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block5_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block5_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block5_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block6_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block6_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block6_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block6_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block6_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block7_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block7_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block7_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block7_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block7_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block8_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block8_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block8_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block8_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block8_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block9_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block9_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block9_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block9_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block9_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block9_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m524,800\u001b[0m โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m2,099,200\u001b[0m โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,049,088\u001b[0m โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,049,088\u001b[0m โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_22 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDropout\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_44 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m2,098,176\u001b[0m โ”‚ dropout_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_45 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚ dense_44[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_18      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_pad           โ”‚ (None, 230, 230,  โ”‚          0 โ”‚ input_layer_18[0โ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_conv (Conv2D) โ”‚ (None, 112, 112,  โ”‚      9,472 โ”‚ conv1_pad[0][0]   โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_bn            โ”‚ (None, 112, 112,  โ”‚        256 โ”‚ conv1_conv[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_relu          โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ conv1_bn[0][0]    โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pad           โ”‚ (None, 114, 114,  โ”‚          0 โ”‚ conv1_relu[0][0]  โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pool          โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ pool1_pad[0][0]   โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_conv โ”‚ (None, 56, 56,    โ”‚      4,160 โ”‚ pool1_pool[0][0]  โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ pool1_pool[0][0]  โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_conv โ”‚ (None, 56, 56,    โ”‚     16,448 โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_conv โ”‚ (None, 56, 56,    โ”‚     16,448 โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_conv โ”‚ (None, 28, 28,    โ”‚     32,896 โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_conv โ”‚ (None, 28, 28,    โ”‚    131,584 โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block4_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block4_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block4_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block4_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block4_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block5_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block5_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block5_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block5_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block5_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block6_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block6_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block6_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block6_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block6_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block7_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block7_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block7_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block7_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block7_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block8_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block8_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block8_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block8_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block8_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_conv โ”‚ (None, 14, 14,    โ”‚    131,328 โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_conv โ”‚ (None, 14, 14,    โ”‚    525,312 โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block4_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block4_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block4_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block4_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block4_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block5_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block5_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block5_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block5_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block5_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block6_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block6_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block6_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block6_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block6_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block7_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block7_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block7_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block7_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block7_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block8_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block8_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block8_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block8_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block8_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block9_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block9_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block9_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block9_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block9_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block9_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_conv โ”‚ (None, 7, 7, 512) โ”‚    524,800 โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_conv โ”‚ (None, 7, 7,      โ”‚  2,099,200 โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_conv โ”‚ (None, 7, 7, 512) โ”‚  1,049,088 โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_conv โ”‚ (None, 7, 7, 512) โ”‚  1,049,088 โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 2048)      โ”‚          0 โ”‚ conv5_block3_outโ€ฆ โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_22          โ”‚ (None, 2048)      โ”‚          0 โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (Dropout)           โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_44 (Dense)    โ”‚ (None, 1024)      โ”‚  2,098,176 โ”‚ dropout_22[0][0]  โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_45 (Dense)    โ”‚ (None, 5)         โ”‚      5,125 โ”‚ dense_44[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m60,474,245\u001b[0m (230.69 MB)\n","text/html":"
 Total params: 60,474,245 (230.69 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m58,370,944\u001b[0m (222.67 MB)\n","text/html":"
 Non-trainable params: 58,370,944 (222.67 MB)\n
\n"},"metadata":{}}]},{"cell_type":"markdown","source":"InceptionV3","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.applications import InceptionV3\nfrom tensorflow.keras.layers import Dense, GlobalAveragePooling2D\nfrom tensorflow.keras.models import Model\nfrom tensorflow.keras.optimizers import Adam\nfrom tensorflow.keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\n\ninceptionv3_model = InceptionV3(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nx = inceptionv3_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\npredictions = Dense(5, activation='softmax')(x) \n\nmodelv3 = Model(inputs=inceptionv3_model.input, outputs=predictions)\n\nfor layer in inceptionv3_model.layers:\n layer.trainable = False\n\nmodelv3.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodelv3.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:50:16.097608Z","iopub.execute_input":"2024-06-24T07:50:16.098412Z","iopub.status.idle":"2024-06-24T07:50:18.305129Z","shell.execute_reply.started":"2024-06-24T07:50:16.098382Z","shell.execute_reply":"2024-06-24T07:50:18.304274Z"},"scrolled":true,"trusted":true},"execution_count":71,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_55\"\u001b[0m\n","text/html":"
Model: \"functional_55\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_24 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_470 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ input_layer_24[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_470[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_470 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_471 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m9,216\u001b[0m โ”‚ activation_470[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_471[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_471 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_472 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ activation_471[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_472[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_472 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_20 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_472[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_473 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m5,120\u001b[0m โ”‚ max_pooling2d_20โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m240\u001b[0m โ”‚ conv2d_473[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_473 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_474 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m138,240\u001b[0m โ”‚ activation_473[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_474[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_474 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_21 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_474[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_478 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_478[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_478 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_476 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m9,216\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_479 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_478[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_476[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_479[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_476 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_479 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_475 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_477 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_476[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_480 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_479[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_481 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_475[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_477[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_480[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_481[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_475 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_477 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_480 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_481 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed0 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_475[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ activation_477[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_480[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_481[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_485 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_485[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_485 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_483 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_486 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_485[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_483[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_486[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_483 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_486 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_482 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_484 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_483[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_487 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_486[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_488 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_482[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_484[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_487[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_488[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_482 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_484 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_487 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_488 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_482[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ activation_484[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_487[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_488[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_492 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_492[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_492 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_490 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m13,824\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_493 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_492[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_490[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_493[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_490 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_493 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_489 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_491 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_490[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_494 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_493[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_495 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_489[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_491[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_494[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_495[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_489 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_491 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_494 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_495 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed2 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_489[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ activation_491[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_494[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_495[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_497 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_497[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_497 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_498 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_497[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_498[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_498 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_496 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m995,328\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_499 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_498[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_496[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_499[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_496 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_499 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_22 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed3 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_496[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_499[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ max_pooling2d_22โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_504 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m98,304\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_504[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_504 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_505 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_504[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_505[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_505 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_501 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m98,304\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_506 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_505[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_501[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_506[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_501 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_506 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_502 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_501[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_507 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_506[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_502[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_507[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_502 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_507 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_500 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_503 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m172,032\u001b[0m โ”‚ activation_502[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_508 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m172,032\u001b[0m โ”‚ activation_507[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_509 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_500[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_503[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_508[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_509[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_500 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_503 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_508 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_509 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed4 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_500[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_503[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_508[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_509[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_514 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_514[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_514 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_515 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_514[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_515[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_515 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_511 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_516 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_515[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_511[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_516[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_511 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_516 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_512 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_511[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_517 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_516[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_512[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_517[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_512 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_517 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_510 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_513 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_512[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_518 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_517[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_519 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_510[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_513[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_518[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_519[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_510 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_513 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_518 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_519 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed5 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_510[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_513[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_518[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_519[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_524 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_524[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_524 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_525 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_524[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_525[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_525 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_521 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_526 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_525[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_521[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_526[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_521 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_526 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_522 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_521[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_527 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_526[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_522[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_527[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_522 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_527 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_520 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_523 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_522[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_528 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_527[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_529 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_520[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_523[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_528[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_529[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_520 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_523 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_528 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_529 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed6 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_520[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_523[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_528[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_529[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_534 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_534[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_534 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_535 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_534[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_535[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_535 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_531 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_536 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_535[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_531[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_536[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_531 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_536 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_532 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_531[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_537 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_536[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_532[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_537[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_532 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_537 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_530 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_533 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_532[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_538 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_537[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_539 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_530[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_533[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_538[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_539[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_530 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_533 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_538 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_539 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed7 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_530[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_533[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_538[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_539[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_542 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_542[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_542 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_543 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_542[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_543[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_543 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_540 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_544 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_543[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_540[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_544[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_540 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_544 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_541 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m552,960\u001b[0m โ”‚ activation_540[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_545 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m331,776\u001b[0m โ”‚ activation_544[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_541[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_545[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_541 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_545 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_23 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed8 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_541[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ activation_545[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ max_pooling2d_23โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_550 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m573,440\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m1,344\u001b[0m โ”‚ conv2d_550[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_550 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_547 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m491,520\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_551 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,548,288\u001b[0m โ”‚ activation_550[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_547[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_551[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_547 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_551 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_548 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_547[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_549 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_547[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_552 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_551[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_553 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_551[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_546 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m409,600\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_548[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_549[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_552[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_553[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_554 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m245,760\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_546[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_548 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_549 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_552 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_553 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_554[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_546 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_0 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_548[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_549[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_10 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_552[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_553[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_554 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_546[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ mixed9_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ concatenate_10[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_554[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_559 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m917,504\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m1,344\u001b[0m โ”‚ conv2d_559[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_559 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_556 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m786,432\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_560 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,548,288\u001b[0m โ”‚ activation_559[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_556[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_560[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_556 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_560 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_557 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_556[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_558 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_556[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_561 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_560[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_562 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_560[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_555 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m655,360\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_557[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_558[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_561[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_562[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_563 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m393,216\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_555[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_557 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_558 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_561 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_562 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_563[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_555 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_557[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_558[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_11 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_561[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_562[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_563 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed10 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_555[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ mixed9_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ concatenate_11[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_563[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_55 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m2,098,176\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_56 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚ dense_55[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_24      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_470 (Conv2D) โ”‚ (None, 111, 111,  โ”‚        864 โ”‚ input_layer_24[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 111, 111,  โ”‚         96 โ”‚ conv2d_470[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_470      โ”‚ (None, 111, 111,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_471 (Conv2D) โ”‚ (None, 109, 109,  โ”‚      9,216 โ”‚ activation_470[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 109, 109,  โ”‚         96 โ”‚ conv2d_471[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_471      โ”‚ (None, 109, 109,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_472 (Conv2D) โ”‚ (None, 109, 109,  โ”‚     18,432 โ”‚ activation_471[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 109, 109,  โ”‚        192 โ”‚ conv2d_472[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_472      โ”‚ (None, 109, 109,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_20    โ”‚ (None, 54, 54,    โ”‚          0 โ”‚ activation_472[0โ€ฆ โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_473 (Conv2D) โ”‚ (None, 54, 54,    โ”‚      5,120 โ”‚ max_pooling2d_20โ€ฆ โ”‚\nโ”‚                     โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 54, 54,    โ”‚        240 โ”‚ conv2d_473[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_473      โ”‚ (None, 54, 54,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_474 (Conv2D) โ”‚ (None, 52, 52,    โ”‚    138,240 โ”‚ activation_473[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 52, 52,    โ”‚        576 โ”‚ conv2d_474[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_474      โ”‚ (None, 52, 52,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_21    โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_474[0โ€ฆ โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_478 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_478[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_478      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_476 (Conv2D) โ”‚ (None, 25, 25,    โ”‚      9,216 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_479 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_478[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_476[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_479[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_476      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_479      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_475 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_477 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_476[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_480 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_479[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_481 (Conv2D) โ”‚ (None, 25, 25,    โ”‚      6,144 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_475[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_477[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_480[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚         96 โ”‚ conv2d_481[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_475      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_477      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_480      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_481      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed0              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_475[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 256)              โ”‚            โ”‚ activation_477[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_480[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_481[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_485 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_485[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_485      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_483 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_486 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_485[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_483[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_486[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_483      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_486      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ mixed0[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_482 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_484 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_483[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_487 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_486[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_488 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_482[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_484[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_487[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_488[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_482      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_484      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_487      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_488      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed1              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_482[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 288)              โ”‚            โ”‚ activation_484[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_487[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_488[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_492 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_492[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_492      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_490 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     13,824 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_493 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_492[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_490[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_493[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_490      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_493      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ mixed1[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 288)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_489 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_491 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_490[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_494 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_493[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_495 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_489[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_491[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_494[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_495[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_489      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_491      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_494      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_495      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed2              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_489[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 288)              โ”‚            โ”‚ activation_491[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_494[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_495[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_497 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed2[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_497[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_497      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_498 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_497[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_498[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_498      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_496 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    995,328 โ”‚ mixed2[0][0]      โ”‚\nโ”‚                     โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_499 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     82,944 โ”‚ activation_498[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚      1,152 โ”‚ conv2d_496[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        288 โ”‚ conv2d_499[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_496      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_499      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_22    โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed2[0][0]      โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 288)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed3              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_496[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_499[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ max_pooling2d_22โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_504 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     98,304 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_504[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_504      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_505 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_504[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_505[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_505      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_501 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     98,304 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_506 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_505[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_501[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_506[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_501      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_506      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_502 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_501[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_507 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_506[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_502[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_507[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_502      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_507      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed3[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_500 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_503 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    172,032 โ”‚ activation_502[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_508 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    172,032 โ”‚ activation_507[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_509 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_500[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_503[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_508[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_509[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_500      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_503      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_508      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_509      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed4              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_500[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_503[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_508[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_509[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_514 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_514[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_514      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_515 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_514[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_515[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_515      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_511 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_516 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_515[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_511[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_516[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_511      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_516      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_512 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_511[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_517 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_516[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_512[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_517[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_512      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_517      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed4[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_510 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_513 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_512[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_518 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_517[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_519 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_510[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_513[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_518[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_519[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_510      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_513      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_518      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_519      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed5              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_510[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_513[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_518[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_519[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_524 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_524[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_524      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_525 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_524[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_525[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_525      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_521 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_526 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_525[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_521[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_526[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_521      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_526      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_522 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_521[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_527 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_526[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_522[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_527[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_522      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_527      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed5[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_520 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_523 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_522[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_528 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_527[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_529 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_520[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_523[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_528[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_529[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_520      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_523      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_528      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_529      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed6              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_520[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_523[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_528[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_529[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_534 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_534[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_534      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_535 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_534[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_535[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_535      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_531 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_536 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_535[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_531[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_536[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_531      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_536      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_532 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_531[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_537 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_536[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_532[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_537[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_532      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_537      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed6[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_530 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_533 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_532[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_538 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_537[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_539 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_530[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_533[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_538[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_539[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_530      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_533      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_538      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_539      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed7              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_530[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_533[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_538[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_539[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_542 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed7[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_542[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_542      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_543 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_542[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_543[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_543      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_540 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed7[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_544 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_543[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_540[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_544[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_540      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_544      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_541 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    552,960 โ”‚ activation_540[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_545 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    331,776 โ”‚ activation_544[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_541[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_545[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_541      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_545      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_23    โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ mixed7[0][0]      โ”‚\nโ”‚ (MaxPooling2D)      โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed8              โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_541[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 1280)             โ”‚            โ”‚ activation_545[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ max_pooling2d_23โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_550 (Conv2D) โ”‚ (None, 5, 5, 448) โ”‚    573,440 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 448) โ”‚      1,344 โ”‚ conv2d_550[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_550      โ”‚ (None, 5, 5, 448) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_547 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    491,520 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_551 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚  1,548,288 โ”‚ activation_550[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_547[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_551[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_547      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_551      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_548 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_547[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_549 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_547[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_552 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_551[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_553 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_551[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ mixed8[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_546 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    409,600 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_548[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_549[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_552[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_553[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_554 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    245,760 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_546[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_548      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_549      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_552      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_553      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_554[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_546      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_0            โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_548[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_549[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_10      โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_552[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_553[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_554      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9              โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_546[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 2048)             โ”‚            โ”‚ mixed9_0[0][0],   โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ concatenate_10[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_554[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_559 (Conv2D) โ”‚ (None, 5, 5, 448) โ”‚    917,504 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 448) โ”‚      1,344 โ”‚ conv2d_559[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_559      โ”‚ (None, 5, 5, 448) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_556 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    786,432 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_560 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚  1,548,288 โ”‚ activation_559[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_556[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_560[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_556      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_560      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_557 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_556[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_558 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_556[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_561 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_560[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_562 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_560[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ mixed9[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_555 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    655,360 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_557[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_558[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_561[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_562[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_563 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    393,216 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_555[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_557      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_558      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_561      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_562      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_563[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_555      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_1            โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_557[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_558[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_11      โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_561[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_562[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_563      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed10             โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_555[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 2048)             โ”‚            โ”‚ mixed9_1[0][0],   โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ concatenate_11[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_563[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 2048)      โ”‚          0 โ”‚ mixed10[0][0]     โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_55 (Dense)    โ”‚ (None, 1024)      โ”‚  2,098,176 โ”‚ global_average_pโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_56 (Dense)    โ”‚ (None, 5)         โ”‚      5,125 โ”‚ dense_55[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m23,906,085\u001b[0m (91.19 MB)\n","text/html":"
 Total params: 23,906,085 (91.19 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m21,802,784\u001b[0m (83.17 MB)\n","text/html":"
 Non-trainable params: 21,802,784 (83.17 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"# Define callbacks\nmodel_checkpoint = ModelCheckpoint('inceptionv3_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\n# Train the model\nepochs = 40\nhistory = modelv3.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:50:42.614721Z","iopub.execute_input":"2024-06-24T07:50:42.615082Z","iopub.status.idle":"2024-06-24T08:10:42.011096Z","shell.execute_reply.started":"2024-06-24T07:50:42.615054Z","shell.execute_reply":"2024-06-24T08:10:42.010203Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m 2/48\u001b[0m \u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m4s\u001b[0m 98ms/step - accuracy: 0.1953 - loss: 1.9122 ","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215469.675815 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m21/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m24s\u001b[0m 905ms/step - accuracy: 0.1894 - loss: 1.8224","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215487.651536 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 609ms/step - accuracy: 0.2042 - loss: 1.7496","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215504.867885 142 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1719215519.871236 139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.37052, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 1s/step - accuracy: 0.2050 - loss: 1.7476 - val_accuracy: 0.3705 - val_loss: 1.4769 - learning_rate: 1.0000e-05\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.3852 - loss: 1.4441\nEpoch 2: val_accuracy improved from 0.37052 to 0.45618, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.3856 - loss: 1.4436 - val_accuracy: 0.4562 - val_loss: 1.3237 - learning_rate: 1.0000e-05\nEpoch 3/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.5118 - loss: 1.2752\nEpoch 3: val_accuracy improved from 0.45618 to 0.55976, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.5123 - loss: 1.2745 - val_accuracy: 0.5598 - val_loss: 1.1867 - learning_rate: 1.0000e-05\nEpoch 4/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.5624 - loss: 1.1746\nEpoch 4: val_accuracy improved from 0.55976 to 0.59163, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.5626 - loss: 1.1742 - val_accuracy: 0.5916 - val_loss: 1.1023 - learning_rate: 1.0000e-05\nEpoch 5/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.5871 - loss: 1.0979\nEpoch 5: val_accuracy improved from 0.59163 to 0.63546, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.5877 - loss: 1.0970 - val_accuracy: 0.6355 - val_loss: 1.0408 - learning_rate: 1.0000e-05\nEpoch 6/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6568 - loss: 0.9807\nEpoch 6: val_accuracy improved from 0.63546 to 0.63745, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 528ms/step - accuracy: 0.6562 - loss: 0.9816 - val_accuracy: 0.6375 - val_loss: 0.9963 - learning_rate: 1.0000e-05\nEpoch 7/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6520 - loss: 0.9610\nEpoch 7: val_accuracy improved from 0.63745 to 0.65538, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.6522 - loss: 0.9607 - val_accuracy: 0.6554 - val_loss: 0.9510 - learning_rate: 1.0000e-05\nEpoch 8/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6682 - loss: 0.9198\nEpoch 8: val_accuracy did not improve from 0.65538\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.6681 - loss: 0.9201 - val_accuracy: 0.6454 - val_loss: 0.9359 - learning_rate: 1.0000e-05\nEpoch 9/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6684 - loss: 0.8937\nEpoch 9: val_accuracy improved from 0.65538 to 0.65936, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.6686 - loss: 0.8935 - val_accuracy: 0.6594 - val_loss: 0.9080 - learning_rate: 1.0000e-05\nEpoch 10/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6781 - loss: 0.8931\nEpoch 10: val_accuracy did not improve from 0.65936\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.6781 - loss: 0.8928 - val_accuracy: 0.6574 - val_loss: 0.8868 - learning_rate: 1.0000e-05\nEpoch 11/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.6972 - loss: 0.8395\nEpoch 11: val_accuracy improved from 0.65936 to 0.67729, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.6972 - loss: 0.8394 - val_accuracy: 0.6773 - val_loss: 0.8579 - learning_rate: 1.0000e-05\nEpoch 12/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.6949 - loss: 0.8386\nEpoch 12: val_accuracy improved from 0.67729 to 0.68526, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 532ms/step - accuracy: 0.6952 - loss: 0.8383 - val_accuracy: 0.6853 - val_loss: 0.8387 - learning_rate: 1.0000e-05\nEpoch 13/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6966 - loss: 0.8176\nEpoch 13: val_accuracy improved from 0.68526 to 0.70120, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 558ms/step - accuracy: 0.6968 - loss: 0.8173 - val_accuracy: 0.7012 - val_loss: 0.8270 - learning_rate: 1.0000e-05\nEpoch 14/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7294 - loss: 0.7623\nEpoch 14: val_accuracy did not improve from 0.70120\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.7292 - loss: 0.7624 - val_accuracy: 0.6952 - val_loss: 0.8178 - learning_rate: 1.0000e-05\nEpoch 15/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7187 - loss: 0.7743\nEpoch 15: val_accuracy improved from 0.70120 to 0.70717, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.7190 - loss: 0.7741 - val_accuracy: 0.7072 - val_loss: 0.7993 - learning_rate: 1.0000e-05\nEpoch 16/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7383 - loss: 0.7508\nEpoch 16: val_accuracy did not improve from 0.70717\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7383 - loss: 0.7506 - val_accuracy: 0.6992 - val_loss: 0.7940 - learning_rate: 1.0000e-05\nEpoch 17/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7362 - loss: 0.7549\nEpoch 17: val_accuracy improved from 0.70717 to 0.71912, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.7361 - loss: 0.7548 - val_accuracy: 0.7191 - val_loss: 0.7884 - learning_rate: 1.0000e-05\nEpoch 18/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7513 - loss: 0.7153\nEpoch 18: val_accuracy did not improve from 0.71912\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 512ms/step - accuracy: 0.7514 - loss: 0.7151 - val_accuracy: 0.7131 - val_loss: 0.7790 - learning_rate: 1.0000e-05\nEpoch 19/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7376 - loss: 0.7140\nEpoch 19: val_accuracy did not improve from 0.71912\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7377 - loss: 0.7138 - val_accuracy: 0.7171 - val_loss: 0.7575 - learning_rate: 1.0000e-05\nEpoch 20/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7591 - loss: 0.7039\nEpoch 20: val_accuracy improved from 0.71912 to 0.73506, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.7590 - loss: 0.7039 - val_accuracy: 0.7351 - val_loss: 0.7421 - learning_rate: 1.0000e-05\nEpoch 21/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7598 - loss: 0.6955\nEpoch 21: val_accuracy did not improve from 0.73506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.7597 - loss: 0.6955 - val_accuracy: 0.7231 - val_loss: 0.7395 - learning_rate: 1.0000e-05\nEpoch 22/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7304 - loss: 0.6947\nEpoch 22: val_accuracy did not improve from 0.73506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7309 - loss: 0.6943 - val_accuracy: 0.7291 - val_loss: 0.7387 - learning_rate: 1.0000e-05\nEpoch 23/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7364 - loss: 0.6880\nEpoch 23: val_accuracy improved from 0.73506 to 0.73705, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 539ms/step - accuracy: 0.7368 - loss: 0.6877 - val_accuracy: 0.7371 - val_loss: 0.7313 - learning_rate: 1.0000e-05\nEpoch 24/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.8037 - loss: 0.6450\nEpoch 24: val_accuracy did not improve from 0.73705\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.8033 - loss: 0.6453 - val_accuracy: 0.7371 - val_loss: 0.7173 - learning_rate: 1.0000e-05\nEpoch 25/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7477 - loss: 0.6955\nEpoch 25: val_accuracy improved from 0.73705 to 0.73904, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.7480 - loss: 0.6950 - val_accuracy: 0.7390 - val_loss: 0.7271 - learning_rate: 1.0000e-05\nEpoch 26/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7695 - loss: 0.6569\nEpoch 26: val_accuracy did not improve from 0.73904\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.7696 - loss: 0.6568 - val_accuracy: 0.7390 - val_loss: 0.7204 - learning_rate: 1.0000e-05\nEpoch 27/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7862 - loss: 0.6070\nEpoch 27: val_accuracy improved from 0.73904 to 0.74502, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.7859 - loss: 0.6075 - val_accuracy: 0.7450 - val_loss: 0.7000 - learning_rate: 1.0000e-05\nEpoch 28/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 448ms/step - accuracy: 0.7692 - loss: 0.6540\nEpoch 28: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 525ms/step - accuracy: 0.7692 - loss: 0.6535 - val_accuracy: 0.7430 - val_loss: 0.7039 - learning_rate: 1.0000e-05\nEpoch 29/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7770 - loss: 0.6258\nEpoch 29: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 516ms/step - accuracy: 0.7767 - loss: 0.6260 - val_accuracy: 0.7430 - val_loss: 0.6981 - learning_rate: 1.0000e-05\nEpoch 30/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7703 - loss: 0.6362\nEpoch 30: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7702 - loss: 0.6360 - val_accuracy: 0.7430 - val_loss: 0.7027 - learning_rate: 1.0000e-05\nEpoch 31/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7840 - loss: 0.6438\nEpoch 31: val_accuracy improved from 0.74502 to 0.75299, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 535ms/step - accuracy: 0.7839 - loss: 0.6436 - val_accuracy: 0.7530 - val_loss: 0.6854 - learning_rate: 1.0000e-05\nEpoch 32/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7739 - loss: 0.6072\nEpoch 32: val_accuracy did not improve from 0.75299\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.7739 - loss: 0.6072 - val_accuracy: 0.7450 - val_loss: 0.6856 - learning_rate: 1.0000e-05\nEpoch 33/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7579 - loss: 0.6496\nEpoch 33: val_accuracy improved from 0.75299 to 0.76096, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.7583 - loss: 0.6490 - val_accuracy: 0.7610 - val_loss: 0.6737 - learning_rate: 1.0000e-05\nEpoch 34/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7705 - loss: 0.5965\nEpoch 34: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.7706 - loss: 0.5964 - val_accuracy: 0.7590 - val_loss: 0.6654 - learning_rate: 1.0000e-05\nEpoch 35/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7633 - loss: 0.6314\nEpoch 35: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7637 - loss: 0.6306 - val_accuracy: 0.7590 - val_loss: 0.6714 - learning_rate: 1.0000e-05\nEpoch 36/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7913 - loss: 0.5923\nEpoch 36: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7914 - loss: 0.5922 - val_accuracy: 0.7490 - val_loss: 0.6725 - learning_rate: 1.0000e-05\nEpoch 37/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.8201 - loss: 0.5567\nEpoch 37: val_accuracy improved from 0.76096 to 0.76295, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 528ms/step - accuracy: 0.8196 - loss: 0.5572 - val_accuracy: 0.7629 - val_loss: 0.6595 - learning_rate: 1.0000e-05\nEpoch 38/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7924 - loss: 0.5430\nEpoch 38: val_accuracy did not improve from 0.76295\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7922 - loss: 0.5435 - val_accuracy: 0.7610 - val_loss: 0.6495 - learning_rate: 1.0000e-05\nEpoch 39/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7871 - loss: 0.5733\nEpoch 39: val_accuracy did not improve from 0.76295\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7873 - loss: 0.5732 - val_accuracy: 0.7570 - val_loss: 0.6466 - learning_rate: 1.0000e-05\nEpoch 40/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7929 - loss: 0.6056\nEpoch 40: val_accuracy improved from 0.76295 to 0.76892, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 565ms/step - accuracy: 0.7928 - loss: 0.6053 - val_accuracy: 0.7689 - val_loss: 0.6446 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = modelv3.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:46:00.191387Z","iopub.execute_input":"2024-06-24T08:46:00.192234Z","iopub.status.idle":"2024-06-24T08:46:04.497276Z","shell.execute_reply.started":"2024-06-24T08:46:00.192202Z","shell.execute_reply":"2024-06-24T08:46:04.496404Z"},"trusted":true},"execution_count":95,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 236ms/step - accuracy: 0.7941 - loss: 0.5531\nTest loss: 0.5449430346488953\nTest accuracy: 0.8070865869522095\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Ensemble Learning Second Attempt\n","metadata":{}},{"cell_type":"code","source":"modelv3.save('inceptionv3_80.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:46:16.688635Z","iopub.execute_input":"2024-06-24T08:46:16.689029Z","iopub.status.idle":"2024-06-24T08:46:17.226212Z","shell.execute_reply.started":"2024-06-24T08:46:16.689001Z","shell.execute_reply":"2024-06-24T08:46:17.225393Z"},"trusted":true},"execution_count":96,"outputs":[]},{"cell_type":"code","source":"from keras.models import load_model\n\n\nmodel1_VGG = load_model('/kaggle/working/82_test_acc.h5')\nmodel2_mobile = load_model('/kaggle/working/mobilenet_model.keras')\nmodel3 = load_model('/kaggle/working/inceptionv3_80.h5')\nmodel4 = load_model('/kaggle/working/model2_84percentacc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:10:42.630720Z","iopub.execute_input":"2024-06-24T09:10:42.631520Z","iopub.status.idle":"2024-06-24T09:10:46.349971Z","shell.execute_reply.started":"2024-06-24T09:10:42.631491Z","shell.execute_reply":"2024-06-24T09:10:46.348986Z"},"trusted":true},"execution_count":108,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n\n\nmodels = [model4, model1_VGG, model2_mobile, model3]\ntrue_labels = test_generator.classes\n\ndef simple_ensemble_predict(models, data_generator):\n preds = [model.predict(data_generator) for model in models]\n preds_array = np.array(preds)\n avg_preds = np.mean(preds_array, axis=0)\n ensemble_preds = np.argmax(avg_preds, axis=1)\n return ensemble_preds\n\nensemble_pred_labels = simple_ensemble_predict([model1_VGG, model2_mobile, model3, model4], test_generator)\naccuracy = accuracy_score(true_labels, ensemble_pred_labels)\nconf_matrix = confusion_matrix(true_labels, ensemble_pred_labels)\nclass_report = classification_report(true_labels, ensemble_pred_labels)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:12:13.816083Z","iopub.execute_input":"2024-06-24T09:12:13.816900Z","iopub.status.idle":"2024-06-24T09:12:30.530418Z","shell.execute_reply.started":"2024-06-24T09:12:13.816867Z","shell.execute_reply":"2024-06-24T09:12:30.529492Z"},"trusted":true},"execution_count":112,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 216ms/step\n\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 214ms/step\n\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 223ms/step\n\u001b[1m 1/16\u001b[0m \u001b[32mโ”\u001b[0m\u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m11s\u001b[0m 734ms/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220346.922421 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 239ms/step\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220350.500242 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"}]},{"cell_type":"code","source":"print(f'Ensemble model accuracy: {accuracy:.4f}')\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:23:16.351997Z","iopub.execute_input":"2024-06-24T09:23:16.352384Z","iopub.status.idle":"2024-06-24T09:23:16.357619Z","shell.execute_reply.started":"2024-06-24T09:23:16.352351Z","shell.execute_reply":"2024-06-24T09:23:16.356673Z"},"trusted":true},"execution_count":119,"outputs":[{"name":"stdout","text":"Ensemble model accuracy: 0.9055\n","output_type":"stream"}]},{"cell_type":"code","source":"\ncm = conf_matrix\n\n# Plot Confusion Matrix\nplt.figure(figsize=(10, 7))\nsns.heatmap(cm, annot=True, fmt=\"d\", cmap='Blues', xticklabels=test_generator.class_indices.keys(), yticklabels=test_generator.class_indices.keys())\nplt.xlabel('Predicted')\nplt.ylabel('True')\nplt.title('Confusion Matrix')\nplt.show()\n\n\nclassification_report_str = classification_report(true_labels, ensemble_pred_labels, target_names=test_generator.class_indices.keys())\n\nplt.figure(figsize=(10, 7))\nplt.text(0.01, 1.25, str('Classification Report'), {'fontsize': 14}, fontproperties='monospace') \nplt.text(0.01, 1.05, classification_report_str, {'fontsize': 10}, fontproperties='monospace') \nplt.axis('off')\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:23:21.412994Z","iopub.execute_input":"2024-06-24T09:23:21.413811Z","iopub.status.idle":"2024-06-24T09:23:21.945224Z","shell.execute_reply.started":"2024-06-24T09:23:21.413779Z","shell.execute_reply":"2024-06-24T09:23:21.943533Z"},"trusted":true},"execution_count":120,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"","metadata":{}}]} \ No newline at end of file From 491380f9b4ae5a6e8ef16af2caa5919719dc612c Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:56:12 +0530 Subject: [PATCH 12/27] Rename ensemble-learning (2).ipynb to ensemble-learning.ipynb --- .../Model/ensemble-learning (2).ipynb | 1 - Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb create mode 100644 Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb diff --git a/Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb b/Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb deleted file mode 100644 index 504a8d66b..000000000 --- a/Sugarcane Leaf Disease Detection/Model/ensemble-learning (2).ipynb +++ /dev/null @@ -1 +0,0 @@ -{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":7424766,"sourceType":"datasetVersion","datasetId":4320051},{"sourceId":8685966,"sourceType":"datasetVersion","datasetId":5207707},{"sourceId":8688008,"sourceType":"datasetVersion","datasetId":5209154},{"sourceId":8770920,"sourceType":"datasetVersion","datasetId":5270788}],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","scrolled":true,"execution":{"iopub.status.busy":"2024-06-13T16:31:22.356814Z","iopub.execute_input":"2024-06-13T16:31:22.357220Z","iopub.status.idle":"2024-06-13T16:31:22.423068Z","shell.execute_reply.started":"2024-06-13T16:31:22.357191Z","shell.execute_reply":"2024-06-13T16:31:22.422012Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pip install split-folders\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:55:26.383491Z","iopub.execute_input":"2024-06-24T05:55:26.384185Z","iopub.status.idle":"2024-06-24T05:55:39.570938Z","shell.execute_reply.started":"2024-06-24T05:55:26.384154Z","shell.execute_reply":"2024-06-24T05:55:39.569863Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Collecting split-folders\n Downloading split_folders-0.5.1-py3-none-any.whl.metadata (6.2 kB)\nDownloading split_folders-0.5.1-py3-none-any.whl (8.4 kB)\nInstalling collected packages: split-folders\nSuccessfully installed split-folders-0.5.1\nNote: you may need to restart the kernel to use updated packages.\n","output_type":"stream"}]},{"cell_type":"code","source":"import cv2\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport os\nfrom PIL import Image\nimport splitfolders\nimport shutil\nimport seaborn as sns\nimport plotly.express as px\nimport keras \nfrom sklearn.metrics import confusion_matrix , classification_report \nfrom sklearn.preprocessing import LabelBinarizer\nfrom sklearn.metrics import roc_curve, auc, roc_auc_score\n\nfrom IPython.display import clear_output\nimport warnings\nwarnings.filterwarnings('ignore')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:55:57.549238Z","iopub.execute_input":"2024-06-24T05:55:57.549607Z","iopub.status.idle":"2024-06-24T05:56:10.523818Z","shell.execute_reply.started":"2024-06-24T05:55:57.549577Z","shell.execute_reply":"2024-06-24T05:56:10.523011Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stderr","text":"2024-06-24 05:56:00.832062: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-06-24 05:56:00.832157: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-06-24 05:56:00.959636: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"path = \"/kaggle/input/sugarcane-leaf-disease-dataset\"\nprint(os.listdir(path))","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:10.525501Z","iopub.execute_input":"2024-06-24T05:56:10.526473Z","iopub.status.idle":"2024-06-24T05:56:10.534631Z","shell.execute_reply.started":"2024-06-24T05:56:10.526433Z","shell.execute_reply":"2024-06-24T05:56:10.533805Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"['Yellow', 'Mosaic', 'Healthy', 'RedRot', 'Rust']\n","output_type":"stream"}]},{"cell_type":"code","source":"splitfolders.ratio(path,seed=1337, output=\"Sugarcane-Splitted\", ratio=(0.6, 0.2, 0.2))\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:10.535839Z","iopub.execute_input":"2024-06-24T05:56:10.537689Z","iopub.status.idle":"2024-06-24T05:56:22.887281Z","shell.execute_reply.started":"2024-06-24T05:56:10.537659Z","shell.execute_reply":"2024-06-24T05:56:22.886464Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stderr","text":"Copying files: 2521 files [00:12, 206.67 files/s]\n","output_type":"stream"}]},{"cell_type":"code","source":"import cv2\n\nimg_path = \"/kaggle/working/Sugarcane-Splitted/train/Yellow/yellow (337).jpeg\"\nimage = cv2.imread(img_path)\nif image is not None:\n image_shape = image.shape\n print(\"Image shape:\", image_shape)\nelse:\n print(\"Error: Image not found or could not be loaded.\")\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:22.889216Z","iopub.execute_input":"2024-06-24T05:56:22.889496Z","iopub.status.idle":"2024-06-24T05:56:22.914608Z","shell.execute_reply.started":"2024-06-24T05:56:22.889472Z","shell.execute_reply":"2024-06-24T05:56:22.913861Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"Image shape: (1040, 493, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n\ntrain_datagen = ImageDataGenerator(rescale=1./255)\nval_datagen = ImageDataGenerator(rescale=1./255)\ntest_datagen = ImageDataGenerator(rescale=1./255)\n\n\ninput_shape= (260, 123, 3)\n\ntrain_dir = '/kaggle/working/Sugarcane-Splitted/train'\nval_dir = '/kaggle/working/Sugarcane-Splitted/val'\ntest_dir = '/kaggle/working/Sugarcane-Splitted/test'\n\ntrain_datagen = ImageDataGenerator(\n rescale=1./255,\n rotation_range=20,\n width_shift_range=0.2,\n height_shift_range=0.2,\n shear_range=0.2,\n zoom_range=0.2,\n horizontal_flip=True,\n fill_mode='nearest'\n)\n\nval_datagen = ImageDataGenerator(rescale=1./255)\ntarget_size = (224, 224)\n\ntrain_generator = train_datagen.flow_from_directory(\n train_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical'\n)\n\nval_generator = val_datagen.flow_from_directory(\n val_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical'\n)\n\n\ntest_datagen = ImageDataGenerator(rescale=1./255)\ntest_generator = test_datagen.flow_from_directory(\n test_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical',\n shuffle=False \n)\n\nimg_shape = train_generator.image_shape\nprint(\"Image dimensions:\", img_shape)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:53:24.067701Z","iopub.execute_input":"2024-06-24T06:53:24.068487Z","iopub.status.idle":"2024-06-24T06:53:24.179033Z","shell.execute_reply.started":"2024-06-24T06:53:24.068455Z","shell.execute_reply":"2024-06-24T06:53:24.178149Z"},"trusted":true},"execution_count":44,"outputs":[{"name":"stdout","text":"Found 1511 images belonging to 5 classes.\nFound 502 images belonging to 5 classes.\nFound 508 images belonging to 5 classes.\nImage dimensions: (224, 224, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\ndef display_images(generator, num_rows=4, num_cols=4):\n \n images, labels = next(generator)\n\n \n class_indices = generator.class_indices\n\n \n CLASS_LABELS = [\"Healthy\", \"Yellow\", \"RedRot\", \"Mosaic\", \"Rust\"]\n\n \n class_names = [CLASS_LABELS[index] for index in range(len(CLASS_LABELS))]\n\n\n\n \n plt.figure(figsize=(10, 10))\n for i in range(num_rows * num_cols):\n plt.subplot(num_rows, num_cols, i + 1)\n plt.imshow(images[i])\n plt.title(f\"Class: {class_names[np.argmax(labels[i])]}\")\n plt.axis('off')\n\n plt.show()\n\n\ndisplay_images(train_generator)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:52:46.567893Z","iopub.execute_input":"2024-06-24T06:52:46.568225Z","iopub.status.idle":"2024-06-24T06:52:48.473918Z","shell.execute_reply.started":"2024-06-24T06:52:46.568200Z","shell.execute_reply":"2024-06-24T06:52:48.472950Z"},"trusted":true},"execution_count":43,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"First Model Architecture\n","metadata":{}},{"cell_type":"code","source":"from keras.models import Sequential\nfrom keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, BatchNormalization\n\nmodel2 = Sequential()\n\nmodel2.add(Conv2D(32, (3, 3), input_shape=(224, 224, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Conv2D(64, (3, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Conv2D(128, (3, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Flatten())\n\nmodel2.add(Dense(512, activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(Dropout(0.5))\n\nmodel2.add(Dense(256, activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(Dropout(0.5))\n\nmodel2.add(Dense(5, activation='softmax'))\n\nmodel2.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n\nmodel2.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:22:37.811407Z","iopub.execute_input":"2024-06-24T08:22:37.812220Z","iopub.status.idle":"2024-06-24T08:22:38.086219Z","shell.execute_reply.started":"2024-06-24T08:22:37.812187Z","shell.execute_reply":"2024-06-24T08:22:38.085365Z"},"trusted":true},"execution_count":92,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential_1\"\u001b[0m\n","text/html":"
Model: \"sequential_1\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ conv2d_567 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m896\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_581 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_27 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_28 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_568 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m18,496\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_582 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_28 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_29 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_569 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m73,856\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_583 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_29 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_30 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m86528\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_60 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m44,302,848\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_584 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_31 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_61 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m131,328\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_585 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_32 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_62 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m1,285\u001b[0m โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)                    โ”ƒ Output Shape           โ”ƒ       Param # โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ conv2d_567 (Conv2D)             โ”‚ (None, 222, 222, 32)   โ”‚           896 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_581         โ”‚ (None, 222, 222, 32)   โ”‚           128 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_27 (MaxPooling2D) โ”‚ (None, 111, 111, 32)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_28 (Dropout)            โ”‚ (None, 111, 111, 32)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_568 (Conv2D)             โ”‚ (None, 109, 109, 64)   โ”‚        18,496 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_582         โ”‚ (None, 109, 109, 64)   โ”‚           256 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_28 (MaxPooling2D) โ”‚ (None, 54, 54, 64)     โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_29 (Dropout)            โ”‚ (None, 54, 54, 64)     โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_569 (Conv2D)             โ”‚ (None, 52, 52, 128)    โ”‚        73,856 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_583         โ”‚ (None, 52, 52, 128)    โ”‚           512 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_29 (MaxPooling2D) โ”‚ (None, 26, 26, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_30 (Dropout)            โ”‚ (None, 26, 26, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ flatten_1 (Flatten)             โ”‚ (None, 86528)          โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_60 (Dense)                โ”‚ (None, 512)            โ”‚    44,302,848 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_584         โ”‚ (None, 512)            โ”‚         2,048 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_31 (Dropout)            โ”‚ (None, 512)            โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_61 (Dense)                โ”‚ (None, 256)            โ”‚       131,328 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_585         โ”‚ (None, 256)            โ”‚         1,024 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_32 (Dropout)            โ”‚ (None, 256)            โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_62 (Dense)                โ”‚ (None, 5)              โ”‚         1,285 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m44,532,677\u001b[0m (169.88 MB)\n","text/html":"
 Total params: 44,532,677 (169.88 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m44,530,693\u001b[0m (169.87 MB)\n","text/html":"
 Trainable params: 44,530,693 (169.87 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m1,984\u001b[0m (7.75 KB)\n","text/html":"
 Non-trainable params: 1,984 (7.75 KB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"\nfrom keras.callbacks import ReduceLROnPlateau, EarlyStopping\n\n\nmodel_checkpoint = ModelCheckpoint('inceptionv3_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nepochs = 40\nhistory = model2.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)\n\n\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:48:17.687512Z","iopub.execute_input":"2024-06-24T08:48:17.688356Z","iopub.status.idle":"2024-06-24T09:07:33.063991Z","shell.execute_reply.started":"2024-06-24T08:48:17.688319Z","shell.execute_reply":"2024-06-24T09:07:33.063098Z"},"trusted":true},"execution_count":101,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.5353 - loss: 1.3409\nEpoch 1: val_accuracy improved from -inf to 0.18327, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 570ms/step - accuracy: 0.5357 - loss: 1.3394 - val_accuracy: 0.1833 - val_loss: 18.4986 - learning_rate: 0.0010\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 447ms/step - accuracy: 0.6025 - loss: 1.1096\nEpoch 2: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 525ms/step - accuracy: 0.6028 - loss: 1.1084 - val_accuracy: 0.1833 - val_loss: 13.6835 - learning_rate: 0.0010\nEpoch 3/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6199 - loss: 1.0413\nEpoch 3: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.6201 - loss: 1.0409 - val_accuracy: 0.1833 - val_loss: 13.4558 - learning_rate: 0.0010\nEpoch 4/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.6388 - loss: 1.0010\nEpoch 4: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 521ms/step - accuracy: 0.6386 - loss: 1.0013 - val_accuracy: 0.1833 - val_loss: 11.3378 - learning_rate: 0.0010\nEpoch 5/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.6288 - loss: 0.9499\nEpoch 5: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6291 - loss: 0.9496 - val_accuracy: 0.1833 - val_loss: 6.9379 - learning_rate: 0.0010\nEpoch 6/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6690 - loss: 0.8498\nEpoch 6: val_accuracy improved from 0.18327 to 0.23506, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 556ms/step - accuracy: 0.6691 - loss: 0.8498 - val_accuracy: 0.2351 - val_loss: 4.5784 - learning_rate: 0.0010\nEpoch 7/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6795 - loss: 0.9295\nEpoch 7: val_accuracy did not improve from 0.23506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.6793 - loss: 0.9288 - val_accuracy: 0.2112 - val_loss: 6.3821 - learning_rate: 0.0010\nEpoch 8/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 427ms/step - accuracy: 0.6955 - loss: 0.8469\nEpoch 8: val_accuracy improved from 0.23506 to 0.31474, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 552ms/step - accuracy: 0.6953 - loss: 0.8474 - val_accuracy: 0.3147 - val_loss: 2.6314 - learning_rate: 0.0010\nEpoch 9/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.6721 - loss: 0.8497\nEpoch 9: val_accuracy improved from 0.31474 to 0.47012, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 560ms/step - accuracy: 0.6724 - loss: 0.8492 - val_accuracy: 0.4701 - val_loss: 1.6875 - learning_rate: 0.0010\nEpoch 10/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7195 - loss: 0.7820\nEpoch 10: val_accuracy did not improve from 0.47012\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7195 - loss: 0.7823 - val_accuracy: 0.4183 - val_loss: 1.9135 - learning_rate: 0.0010\nEpoch 11/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 427ms/step - accuracy: 0.7145 - loss: 0.7225\nEpoch 11: val_accuracy did not improve from 0.47012\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 501ms/step - accuracy: 0.7147 - loss: 0.7224 - val_accuracy: 0.4004 - val_loss: 3.4161 - learning_rate: 0.0010\nEpoch 12/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7153 - loss: 0.7980\nEpoch 12: val_accuracy improved from 0.47012 to 0.55578, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 556ms/step - accuracy: 0.7153 - loss: 0.7976 - val_accuracy: 0.5558 - val_loss: 1.5413 - learning_rate: 0.0010\nEpoch 13/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 442ms/step - accuracy: 0.7210 - loss: 0.7303\nEpoch 13: val_accuracy did not improve from 0.55578\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 519ms/step - accuracy: 0.7209 - loss: 0.7305 - val_accuracy: 0.5378 - val_loss: 1.4778 - learning_rate: 0.0010\nEpoch 14/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7475 - loss: 0.6624\nEpoch 14: val_accuracy improved from 0.55578 to 0.57570, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 560ms/step - accuracy: 0.7472 - loss: 0.6637 - val_accuracy: 0.5757 - val_loss: 1.1399 - learning_rate: 0.0010\nEpoch 15/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7578 - loss: 0.6489\nEpoch 15: val_accuracy improved from 0.57570 to 0.69323, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 557ms/step - accuracy: 0.7575 - loss: 0.6493 - val_accuracy: 0.6932 - val_loss: 0.8029 - learning_rate: 0.0010\nEpoch 16/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7600 - loss: 0.6506\nEpoch 16: val_accuracy did not improve from 0.69323\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7598 - loss: 0.6507 - val_accuracy: 0.5438 - val_loss: 1.4752 - learning_rate: 0.0010\nEpoch 17/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7742 - loss: 0.5993\nEpoch 17: val_accuracy did not improve from 0.69323\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7740 - loss: 0.5999 - val_accuracy: 0.5717 - val_loss: 1.2891 - learning_rate: 0.0010\nEpoch 18/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7608 - loss: 0.6373\nEpoch 18: val_accuracy improved from 0.69323 to 0.74104, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 553ms/step - accuracy: 0.7608 - loss: 0.6373 - val_accuracy: 0.7410 - val_loss: 0.6866 - learning_rate: 0.0010\nEpoch 19/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7562 - loss: 0.6182\nEpoch 19: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7563 - loss: 0.6185 - val_accuracy: 0.5518 - val_loss: 1.3742 - learning_rate: 0.0010\nEpoch 20/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 428ms/step - accuracy: 0.7642 - loss: 0.6314\nEpoch 20: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7643 - loss: 0.6313 - val_accuracy: 0.4721 - val_loss: 2.2594 - learning_rate: 0.0010\nEpoch 21/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7846 - loss: 0.6073\nEpoch 21: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7844 - loss: 0.6073 - val_accuracy: 0.7052 - val_loss: 0.8557 - learning_rate: 0.0010\nEpoch 22/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7962 - loss: 0.5384\nEpoch 22: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7963 - loss: 0.5386 - val_accuracy: 0.7410 - val_loss: 0.6646 - learning_rate: 0.0010\nEpoch 23/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7698 - loss: 0.5934\nEpoch 23: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7699 - loss: 0.5932 - val_accuracy: 0.6155 - val_loss: 0.9930 - learning_rate: 0.0010\nEpoch 24/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7944 - loss: 0.5348\nEpoch 24: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7941 - loss: 0.5357 - val_accuracy: 0.6773 - val_loss: 0.8424 - learning_rate: 0.0010\nEpoch 25/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7971 - loss: 0.5388\nEpoch 25: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 503ms/step - accuracy: 0.7972 - loss: 0.5388 - val_accuracy: 0.7251 - val_loss: 0.7928 - learning_rate: 0.0010\nEpoch 26/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.8000 - loss: 0.5457\nEpoch 26: val_accuracy improved from 0.74104 to 0.75299, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 554ms/step - accuracy: 0.8002 - loss: 0.5452 - val_accuracy: 0.7530 - val_loss: 0.7401 - learning_rate: 0.0010\nEpoch 27/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 442ms/step - accuracy: 0.7904 - loss: 0.5179\nEpoch 27: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 27: val_accuracy did not improve from 0.75299\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7908 - loss: 0.5171 - val_accuracy: 0.6833 - val_loss: 0.8404 - learning_rate: 0.0010\nEpoch 28/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 428ms/step - accuracy: 0.8211 - loss: 0.4977\nEpoch 28: val_accuracy improved from 0.75299 to 0.82669, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 552ms/step - accuracy: 0.8214 - loss: 0.4968 - val_accuracy: 0.8267 - val_loss: 0.4684 - learning_rate: 1.0000e-04\nEpoch 29/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.8363 - loss: 0.4685\nEpoch 29: val_accuracy improved from 0.82669 to 0.84661, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 566ms/step - accuracy: 0.8363 - loss: 0.4683 - val_accuracy: 0.8466 - val_loss: 0.4421 - learning_rate: 1.0000e-04\nEpoch 30/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.8658 - loss: 0.3958\nEpoch 30: val_accuracy improved from 0.84661 to 0.85060, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 557ms/step - accuracy: 0.8654 - loss: 0.3966 - val_accuracy: 0.8506 - val_loss: 0.4161 - learning_rate: 1.0000e-04\nEpoch 31/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.8418 - loss: 0.4051\nEpoch 31: val_accuracy did not improve from 0.85060\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.8416 - loss: 0.4055 - val_accuracy: 0.8127 - val_loss: 0.5276 - learning_rate: 1.0000e-04\nEpoch 32/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.8349 - loss: 0.4287\nEpoch 32: val_accuracy did not improve from 0.85060\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.8351 - loss: 0.4285 - val_accuracy: 0.8287 - val_loss: 0.4647 - learning_rate: 1.0000e-04\nEpoch 33/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.8599 - loss: 0.3777\nEpoch 33: val_accuracy improved from 0.85060 to 0.85259, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 555ms/step - accuracy: 0.8598 - loss: 0.3781 - val_accuracy: 0.8526 - val_loss: 0.4069 - learning_rate: 1.0000e-04\nEpoch 34/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.8509 - loss: 0.4017\nEpoch 34: val_accuracy improved from 0.85259 to 0.86653, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 561ms/step - accuracy: 0.8509 - loss: 0.4019 - val_accuracy: 0.8665 - val_loss: 0.3727 - learning_rate: 1.0000e-04\nEpoch 35/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 452ms/step - accuracy: 0.8529 - loss: 0.3952\nEpoch 35: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 525ms/step - accuracy: 0.8529 - loss: 0.3955 - val_accuracy: 0.7948 - val_loss: 0.6215 - learning_rate: 1.0000e-04\nEpoch 36/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.8572 - loss: 0.4037\nEpoch 36: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.8572 - loss: 0.4034 - val_accuracy: 0.8625 - val_loss: 0.3769 - learning_rate: 1.0000e-04\nEpoch 37/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.8606 - loss: 0.3785\nEpoch 37: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.8606 - loss: 0.3783 - val_accuracy: 0.7988 - val_loss: 0.6632 - learning_rate: 1.0000e-04\nEpoch 38/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.8548 - loss: 0.3995\nEpoch 38: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.8547 - loss: 0.3997 - val_accuracy: 0.8546 - val_loss: 0.3832 - learning_rate: 1.0000e-04\nEpoch 39/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.8480 - loss: 0.4061\nEpoch 39: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 39: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.8482 - loss: 0.4058 - val_accuracy: 0.8586 - val_loss: 0.3976 - learning_rate: 1.0000e-04\nEpoch 40/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.8619 - loss: 0.3729\nEpoch 40: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.8619 - loss: 0.3729 - val_accuracy: 0.8586 - val_loss: 0.4002 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = model2.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:08:01.787461Z","iopub.execute_input":"2024-06-24T09:08:01.787825Z","iopub.status.idle":"2024-06-24T09:08:08.734751Z","shell.execute_reply.started":"2024-06-24T09:08:01.787795Z","shell.execute_reply":"2024-06-24T09:08:08.733846Z"},"trusted":true},"execution_count":102,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 418ms/step - accuracy: 0.8278 - loss: 0.4176\nTest loss: 0.40044909715652466\nTest accuracy: 0.8484252095222473\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220088.717370 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"}]},{"cell_type":"code","source":"model2.save('model2_84percentacc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:08:39.723501Z","iopub.execute_input":"2024-06-24T09:08:39.724096Z","iopub.status.idle":"2024-06-24T09:08:40.819185Z","shell.execute_reply.started":"2024-06-24T09:08:39.724066Z","shell.execute_reply":"2024-06-24T09:08:40.818393Z"},"trusted":true},"execution_count":103,"outputs":[]},{"cell_type":"markdown","source":"Using Pre Trained Models\n","metadata":{}},{"cell_type":"code","source":"from keras.applications import VGG16\nfrom keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nvgg16_model = VGG16(weights='imagenet', include_top=False, input_shape=(224,224, 3))\n\nfeature_extractor = Model(inputs=vgg16_model.input, outputs=vgg16_model.get_layer('block4_pool').output)\n\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\nmodel16 = Model(inputs=feature_extractor.input, outputs=output)\n\n\nmodel16.compile(optimizer=Adam(learning_rate=0.001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodel16.summary()\n\n\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:11:54.797192Z","iopub.execute_input":"2024-06-24T07:11:54.797812Z","iopub.status.idle":"2024-06-24T07:11:55.101074Z","shell.execute_reply.started":"2024-06-24T07:11:54.797779Z","shell.execute_reply":"2024-06-24T07:11:55.100145Z"},"trusted":true},"execution_count":52,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_43\"\u001b[0m\n","text/html":"
Model: \"functional_43\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_17 (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m1,792\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m73,856\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m295,168\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,180,160\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooling2d_17 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_42 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m525,312\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_43 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)                    โ”ƒ Output Shape           โ”ƒ       Param # โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_17 (InputLayer)     โ”‚ (None, 224, 224, 3)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv1 (Conv2D)           โ”‚ (None, 224, 224, 64)   โ”‚         1,792 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv2 (Conv2D)           โ”‚ (None, 224, 224, 64)   โ”‚        36,928 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_pool (MaxPooling2D)      โ”‚ (None, 112, 112, 64)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv1 (Conv2D)           โ”‚ (None, 112, 112, 128)  โ”‚        73,856 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv2 (Conv2D)           โ”‚ (None, 112, 112, 128)  โ”‚       147,584 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_pool (MaxPooling2D)      โ”‚ (None, 56, 56, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv1 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       295,168 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv2 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       590,080 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv3 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       590,080 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_pool (MaxPooling2D)      โ”‚ (None, 28, 28, 256)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv1 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     1,180,160 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv2 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     2,359,808 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv3 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     2,359,808 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_pool (MaxPooling2D)      โ”‚ (None, 14, 14, 512)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooling2d_17     โ”‚ (None, 512)            โ”‚             0 โ”‚\nโ”‚ (GlobalAveragePooling2D)        โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_42 (Dense)                โ”‚ (None, 1024)           โ”‚       525,312 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_43 (Dense)                โ”‚ (None, 5)              โ”‚         5,125 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,165,701\u001b[0m (31.15 MB)\n","text/html":"
 Total params: 8,165,701 (31.15 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m530,437\u001b[0m (2.02 MB)\n","text/html":"
 Trainable params: 530,437 (2.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m7,635,264\u001b[0m (29.13 MB)\n","text/html":"
 Non-trainable params: 7,635,264 (29.13 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"epochs = 17\n\nhistory = model16.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:36:27.261778Z","iopub.execute_input":"2024-06-24T07:36:27.262375Z","iopub.status.idle":"2024-06-24T07:41:13.902865Z","shell.execute_reply.started":"2024-06-24T07:36:27.262341Z","shell.execute_reply":"2024-06-24T07:41:13.902050Z"},"trusted":true},"execution_count":60,"outputs":[{"name":"stdout","text":"Epoch 1/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.6507 - loss: 0.8859","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719214614.511715 141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 549ms/step - accuracy: 0.6506 - loss: 0.8862 - val_accuracy: 0.7251 - val_loss: 0.7658 - learning_rate: 0.0010\nEpoch 2/17\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719214618.128470 141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 443ms/step - accuracy: 0.6751 - loss: 0.8348\nEpoch 2: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6755 - loss: 0.8336 - val_accuracy: 0.6574 - val_loss: 0.9390 - learning_rate: 0.0010\nEpoch 3/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6767 - loss: 0.8283\nEpoch 3: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.6771 - loss: 0.8274 - val_accuracy: 0.7610 - val_loss: 0.6719 - learning_rate: 0.0010\nEpoch 4/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.7568 - loss: 0.6717\nEpoch 4: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.7566 - loss: 0.6719 - val_accuracy: 0.7231 - val_loss: 0.7189 - learning_rate: 0.0010\nEpoch 5/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7833 - loss: 0.5983\nEpoch 5: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.7825 - loss: 0.5997 - val_accuracy: 0.6793 - val_loss: 0.8659 - learning_rate: 0.0010\nEpoch 6/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7607 - loss: 0.6344\nEpoch 6: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7604 - loss: 0.6354 - val_accuracy: 0.7749 - val_loss: 0.6255 - learning_rate: 0.0010\nEpoch 7/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7707 - loss: 0.6229\nEpoch 7: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 516ms/step - accuracy: 0.7709 - loss: 0.6225 - val_accuracy: 0.7849 - val_loss: 0.5701 - learning_rate: 0.0010\nEpoch 8/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.7994 - loss: 0.5884\nEpoch 8: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 519ms/step - accuracy: 0.7992 - loss: 0.5884 - val_accuracy: 0.7749 - val_loss: 0.6136 - learning_rate: 0.0010\nEpoch 9/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 445ms/step - accuracy: 0.7864 - loss: 0.5555\nEpoch 9: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7866 - loss: 0.5553 - val_accuracy: 0.7649 - val_loss: 0.6434 - learning_rate: 0.0010\nEpoch 10/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 447ms/step - accuracy: 0.7955 - loss: 0.5735\nEpoch 10: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7956 - loss: 0.5728 - val_accuracy: 0.8108 - val_loss: 0.5511 - learning_rate: 0.0010\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:33:47.939208Z","iopub.execute_input":"2024-06-24T07:33:47.939563Z","iopub.status.idle":"2024-06-24T07:33:48.209402Z","shell.execute_reply.started":"2024-06-24T07:33:47.939536Z","shell.execute_reply":"2024-06-24T07:33:48.208515Z"},"trusted":true},"execution_count":54,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"test_loss, test_accuracy = model.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:42:48.818729Z","iopub.execute_input":"2024-06-24T07:42:48.819083Z","iopub.status.idle":"2024-06-24T07:42:52.935078Z","shell.execute_reply.started":"2024-06-24T07:42:48.819056Z","shell.execute_reply":"2024-06-24T07:42:52.934032Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 221ms/step - accuracy: 0.8335 - loss: 0.4393\nTest loss: 0.44055408239364624\nTest accuracy: 0.8287401795387268\n","output_type":"stream"}]},{"cell_type":"code","source":"model.save('82_test_acc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:35:28.936250Z","iopub.execute_input":"2024-06-24T07:35:28.936802Z","iopub.status.idle":"2024-06-24T07:35:29.017422Z","shell.execute_reply.started":"2024-06-24T07:35:28.936774Z","shell.execute_reply":"2024-06-24T07:35:29.016665Z"},"trusted":true},"execution_count":58,"outputs":[]},{"cell_type":"markdown","source":"MobileNetV2","metadata":{}},{"cell_type":"code","source":"from keras.applications import MobileNetV2\nfrom keras.layers import Dense, GlobalAveragePooling2D, Dropout\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nmobilenet_model = MobileNetV2(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nfeature_extractor = Model(inputs=mobilenet_model.input, outputs=mobilenet_model.output)\n\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dropout(0.5)(x) \nx = Dense(1024, activation='relu')(x)\nx = Dense(512, activation='relu')(x) \noutput = Dense(5, activation='softmax')(x) \n\nmodelV2 = Model(inputs=feature_extractor.input, outputs=output)\n\nmodelV2.compile(optimizer=Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodel_checkpoint = ModelCheckpoint('mobilenet_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodelV2.summary()","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:54:42.838785Z","iopub.execute_input":"2024-06-24T06:54:42.839142Z","iopub.status.idle":"2024-06-24T06:54:43.874046Z","shell.execute_reply.started":"2024-06-24T06:54:42.839116Z","shell.execute_reply":"2024-06-24T06:54:43.873102Z"},"trusted":true},"execution_count":46,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_35\"\u001b[0m\n","text/html":"
Model: \"functional_35\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_15 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ input_layer_15[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ bn_Conv1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1_relu (\u001b[38;5;33mReLU\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ bn_Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ Conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m16\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m64\u001b[0m โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m16\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_1_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m113\u001b[0m, \u001b[38;5;34m113\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ block_1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ block_1_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_2_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_2_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,296\u001b[0m โ”‚ block_2_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ block_2_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ block_2_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_2_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_3_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,296\u001b[0m โ”‚ block_3_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m4,608\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_3_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_4_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_4_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_4_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ block_4_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_5_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_5_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_5_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_5_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ block_5_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_5_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_6_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_6_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_6_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_7_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_7_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_7_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_7_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_8_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_8_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_8_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_8_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_9_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_9_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_9_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_9_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_9_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_9_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_10_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m36,864\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_11_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_11_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ block_11_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_12_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_12_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ block_12_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_12_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_13_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_13_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m92,160\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_14_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_14_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ block_14_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_15_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_15_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ block_15_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_15_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_16_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m307,200\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m1,280\u001b[0m โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m409,600\u001b[0m โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m5,120\u001b[0m โ”‚ Conv_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ out_relu (\u001b[38;5;33mReLU\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ Conv_1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ out_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_21 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDropout\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_37 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m1,311,744\u001b[0m โ”‚ dropout_21[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_38 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m524,800\u001b[0m โ”‚ dense_37[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_39 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m2,565\u001b[0m โ”‚ dense_38[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_15      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1 (Conv2D)      โ”‚ (None, 112, 112,  โ”‚        864 โ”‚ input_layer_15[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ bn_Conv1            โ”‚ (None, 112, 112,  โ”‚        128 โ”‚ Conv1[0][0]       โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1_relu (ReLU)   โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ bn_Conv1[0][0]    โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚        288 โ”‚ Conv1_relu[0][0]  โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚        128 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (None, 112, 112,  โ”‚        512 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 16)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (None, 112, 112,  โ”‚         64 โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 16)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand      โ”‚ (None, 112, 112,  โ”‚      1,536 โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_BN   โ”‚ (None, 112, 112,  โ”‚        384 โ”‚ block_1_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_relu โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ block_1_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_pad         โ”‚ (None, 113, 113,  โ”‚          0 โ”‚ block_1_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise   โ”‚ (None, 56, 56,    โ”‚        864 โ”‚ block_1_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚        384 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project     โ”‚ (None, 56, 56,    โ”‚      2,304 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project_BN  โ”‚ (None, 56, 56,    โ”‚         96 โ”‚ block_1_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand      โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_BN   โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_2_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_2_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise   โ”‚ (None, 56, 56,    โ”‚      1,296 โ”‚ block_2_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project     โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project_BN  โ”‚ (None, 56, 56,    โ”‚         96 โ”‚ block_2_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_add (Add)   โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 24)               โ”‚            โ”‚ block_2_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand      โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_2_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_BN   โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_3_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_3_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_pad         โ”‚ (None, 57, 57,    โ”‚          0 โ”‚ block_3_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,296 โ”‚ block_3_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        576 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project     โ”‚ (None, 28, 28,    โ”‚      4,608 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_3_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_4_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,728 โ”‚ block_4_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project     โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_4_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_add (Add)   โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚ block_4_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_4_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_5_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_5_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,728 โ”‚ block_5_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project     โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_5_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_add (Add)   โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚ block_5_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_5_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_6_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_6_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_pad         โ”‚ (None, 29, 29,    โ”‚          0 โ”‚ block_6_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise   โ”‚ (None, 14, 14,    โ”‚      1,728 โ”‚ block_6_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚        768 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project     โ”‚ (None, 14, 14,    โ”‚     12,288 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_6_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_7_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_7_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_7_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_7_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_7_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_8_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_8_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_8_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_8_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_8_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_9_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_9_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_9_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_9_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_9_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_9_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_BN  โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_10_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwise  โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project    โ”‚ (None, 14, 14,    โ”‚     36,864 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_11_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwise  โ”‚ (None, 14, 14,    โ”‚      5,184 โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project    โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_11_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_add (Add)  โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚ block_11_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_11_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_12_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwise  โ”‚ (None, 14, 14,    โ”‚      5,184 โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project    โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_12_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_add (Add)  โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_add[0][โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚ block_12_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_12_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_13_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_pad        โ”‚ (None, 15, 15,    โ”‚          0 โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwise  โ”‚ (None, 7, 7, 576) โ”‚      5,184 โ”‚ block_13_pad[0][โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (None, 7, 7, 576) โ”‚      2,304 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (None, 7, 7, 576) โ”‚          0 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project    โ”‚ (None, 7, 7, 160) โ”‚     92,160 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_14_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project    โ”‚ (None, 7, 7, 160) โ”‚    153,600 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_14_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_add (Add)  โ”‚ (None, 7, 7, 160) โ”‚          0 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ block_14_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_14_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_15_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project    โ”‚ (None, 7, 7, 160) โ”‚    153,600 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_15_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_add (Add)  โ”‚ (None, 7, 7, 160) โ”‚          0 โ”‚ block_14_add[0][โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ block_15_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_15_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_16_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project    โ”‚ (None, 7, 7, 320) โ”‚    307,200 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project_BN โ”‚ (None, 7, 7, 320) โ”‚      1,280 โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1 (Conv2D)     โ”‚ (None, 7, 7,      โ”‚    409,600 โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚                     โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1_bn           โ”‚ (None, 7, 7,      โ”‚      5,120 โ”‚ Conv_1[0][0]      โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ out_relu (ReLU)     โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ Conv_1_bn[0][0]   โ”‚\nโ”‚                     โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 1280)      โ”‚          0 โ”‚ out_relu[0][0]    โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_21          โ”‚ (None, 1280)      โ”‚          0 โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (Dropout)           โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_37 (Dense)    โ”‚ (None, 1024)      โ”‚  1,311,744 โ”‚ dropout_21[0][0]  โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_38 (Dense)    โ”‚ (None, 512)       โ”‚    524,800 โ”‚ dense_37[0][0]    โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_39 (Dense)    โ”‚ (None, 5)         โ”‚      2,565 โ”‚ dense_38[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m4,097,093\u001b[0m (15.63 MB)\n","text/html":"
 Total params: 4,097,093 (15.63 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,839,109\u001b[0m (7.02 MB)\n","text/html":"
 Trainable params: 1,839,109 (7.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,257,984\u001b[0m (8.61 MB)\n","text/html":"
 Non-trainable params: 2,257,984 (8.61 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"epochs = 40\n\nhistory = modelV2.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:54:59.400852Z","iopub.execute_input":"2024-06-24T06:54:59.401422Z","iopub.status.idle":"2024-06-24T07:09:55.268520Z","shell.execute_reply.started":"2024-06-24T06:54:59.401388Z","shell.execute_reply":"2024-06-24T07:09:55.267766Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m 1/48\u001b[0m \u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m13:43\u001b[0m 18s/step - accuracy: 0.1562 - loss: 2.0710","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212117.938617 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 541ms/step - accuracy: 0.3161 - loss: 1.6175","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212146.880511 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.69721, saving model to mobilenet_model.keras\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212155.603070 142 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m57s\u001b[0m 831ms/step - accuracy: 0.3200 - loss: 1.6095 - val_accuracy: 0.6972 - val_loss: 0.9503 - learning_rate: 1.0000e-04\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.5971 - loss: 1.0513\nEpoch 2: val_accuracy did not improve from 0.69721\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.5971 - loss: 1.0508 - val_accuracy: 0.6853 - val_loss: 0.8290 - learning_rate: 1.0000e-04\nEpoch 3/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 444ms/step - accuracy: 0.6294 - loss: 0.9272\nEpoch 3: val_accuracy improved from 0.69721 to 0.73307, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 521ms/step - accuracy: 0.6303 - loss: 0.9253 - val_accuracy: 0.7331 - val_loss: 0.7159 - learning_rate: 1.0000e-04\nEpoch 4/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.6929 - loss: 0.8332\nEpoch 4: val_accuracy improved from 0.73307 to 0.74701, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6928 - loss: 0.8325 - val_accuracy: 0.7470 - val_loss: 0.6468 - learning_rate: 1.0000e-04\nEpoch 5/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.6886 - loss: 0.7870\nEpoch 5: val_accuracy improved from 0.74701 to 0.77689, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 519ms/step - accuracy: 0.6884 - loss: 0.7873 - val_accuracy: 0.7769 - val_loss: 0.5862 - learning_rate: 1.0000e-04\nEpoch 6/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7364 - loss: 0.7034\nEpoch 6: val_accuracy improved from 0.77689 to 0.79681, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7357 - loss: 0.7047 - val_accuracy: 0.7968 - val_loss: 0.5454 - learning_rate: 1.0000e-04\nEpoch 7/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7302 - loss: 0.7255\nEpoch 7: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7294 - loss: 0.7265 - val_accuracy: 0.7689 - val_loss: 0.5589 - learning_rate: 1.0000e-04\nEpoch 8/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7188 - loss: 0.7186\nEpoch 8: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7189 - loss: 0.7187 - val_accuracy: 0.7550 - val_loss: 0.6256 - learning_rate: 1.0000e-04\nEpoch 9/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7517 - loss: 0.6591\nEpoch 9: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7513 - loss: 0.6605 - val_accuracy: 0.7809 - val_loss: 0.5619 - learning_rate: 1.0000e-04\nEpoch 10/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7231 - loss: 0.7114\nEpoch 10: val_accuracy improved from 0.79681 to 0.81076, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7237 - loss: 0.7106 - val_accuracy: 0.8108 - val_loss: 0.5098 - learning_rate: 1.0000e-04\nEpoch 11/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7329 - loss: 0.6797\nEpoch 11: val_accuracy did not improve from 0.81076\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7337 - loss: 0.6786 - val_accuracy: 0.8008 - val_loss: 0.5113 - learning_rate: 1.0000e-04\nEpoch 12/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 446ms/step - accuracy: 0.7517 - loss: 0.6430\nEpoch 12: val_accuracy improved from 0.81076 to 0.81474, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7516 - loss: 0.6436 - val_accuracy: 0.8147 - val_loss: 0.5078 - learning_rate: 1.0000e-04\nEpoch 13/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7717 - loss: 0.6254\nEpoch 13: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7713 - loss: 0.6261 - val_accuracy: 0.7809 - val_loss: 0.5567 - learning_rate: 1.0000e-04\nEpoch 14/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.7544 - loss: 0.6390\nEpoch 14: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7545 - loss: 0.6388 - val_accuracy: 0.8068 - val_loss: 0.4936 - learning_rate: 1.0000e-04\nEpoch 15/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7544 - loss: 0.6678\nEpoch 15: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7550 - loss: 0.6668 - val_accuracy: 0.8108 - val_loss: 0.4993 - learning_rate: 1.0000e-04\nEpoch 16/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 444ms/step - accuracy: 0.7616 - loss: 0.6328\nEpoch 16: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.7614 - loss: 0.6333 - val_accuracy: 0.7908 - val_loss: 0.5360 - learning_rate: 1.0000e-04\nEpoch 17/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 446ms/step - accuracy: 0.7521 - loss: 0.6502\nEpoch 17: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 512ms/step - accuracy: 0.7527 - loss: 0.6493 - val_accuracy: 0.7928 - val_loss: 0.5571 - learning_rate: 1.0000e-04\nEpoch 18/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7576 - loss: 0.6270\nEpoch 18: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7583 - loss: 0.6258 - val_accuracy: 0.8088 - val_loss: 0.5107 - learning_rate: 1.0000e-04\nEpoch 19/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.7745 - loss: 0.5864\nEpoch 19: val_accuracy improved from 0.81474 to 0.82271, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.7750 - loss: 0.5851 - val_accuracy: 0.8227 - val_loss: 0.4646 - learning_rate: 1.0000e-04\nEpoch 20/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7726 - loss: 0.5927\nEpoch 20: val_accuracy did not improve from 0.82271\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7727 - loss: 0.5922 - val_accuracy: 0.8108 - val_loss: 0.4849 - learning_rate: 1.0000e-04\nEpoch 21/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7809 - loss: 0.5966\nEpoch 21: val_accuracy improved from 0.82271 to 0.82470, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.7807 - loss: 0.5960 - val_accuracy: 0.8247 - val_loss: 0.4594 - learning_rate: 1.0000e-04\nEpoch 22/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7976 - loss: 0.5525\nEpoch 22: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7975 - loss: 0.5530 - val_accuracy: 0.7988 - val_loss: 0.5280 - learning_rate: 1.0000e-04\nEpoch 23/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7926 - loss: 0.5512\nEpoch 23: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7925 - loss: 0.5517 - val_accuracy: 0.8227 - val_loss: 0.4780 - learning_rate: 1.0000e-04\nEpoch 24/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7868 - loss: 0.5489\nEpoch 24: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7862 - loss: 0.5505 - val_accuracy: 0.8088 - val_loss: 0.5109 - learning_rate: 1.0000e-04\nEpoch 25/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7447 - loss: 0.6121\nEpoch 25: val_accuracy improved from 0.82470 to 0.83267, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7454 - loss: 0.6116 - val_accuracy: 0.8327 - val_loss: 0.4720 - learning_rate: 1.0000e-04\nEpoch 26/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7654 - loss: 0.5678\nEpoch 26: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-06.\n\nEpoch 26: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 503ms/step - accuracy: 0.7661 - loss: 0.5679 - val_accuracy: 0.8247 - val_loss: 0.4836 - learning_rate: 1.0000e-04\nEpoch 27/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7764 - loss: 0.5758\nEpoch 27: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7765 - loss: 0.5755 - val_accuracy: 0.8267 - val_loss: 0.4616 - learning_rate: 1.0000e-05\nEpoch 28/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7962 - loss: 0.5479\nEpoch 28: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 501ms/step - accuracy: 0.7965 - loss: 0.5475 - val_accuracy: 0.8207 - val_loss: 0.4689 - learning_rate: 1.0000e-05\nEpoch 29/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 445ms/step - accuracy: 0.8036 - loss: 0.5376\nEpoch 29: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.8036 - loss: 0.5366 - val_accuracy: 0.8247 - val_loss: 0.4607 - learning_rate: 1.0000e-05\nEpoch 30/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7759 - loss: 0.5691\nEpoch 30: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7763 - loss: 0.5686 - val_accuracy: 0.8207 - val_loss: 0.4681 - learning_rate: 1.0000e-05\nEpoch 31/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7993 - loss: 0.5229\nEpoch 31: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n\nEpoch 31: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7994 - loss: 0.5229 - val_accuracy: 0.8267 - val_loss: 0.4610 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = modelV2.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:10:25.410804Z","iopub.execute_input":"2024-06-24T07:10:25.411488Z","iopub.status.idle":"2024-06-24T07:10:29.447781Z","shell.execute_reply.started":"2024-06-24T07:10:25.411457Z","shell.execute_reply":"2024-06-24T07:10:29.446954Z"},"trusted":true},"execution_count":49,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 222ms/step - accuracy: 0.8321 - loss: 0.4484\nTest loss: 0.495183527469635\nTest accuracy: 0.8129921555519104\n","output_type":"stream"}]},{"cell_type":"markdown","source":"ResNet152","metadata":{}},{"cell_type":"code","source":"from keras.applications import ResNet152\nfrom keras.layers import Dense, GlobalAveragePooling2D, Dropout\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nresnet152_model = ResNet152(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nx = resnet152_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dropout(0.5)(x) \nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x) \nmodel152 = Model(inputs=resnet152_model.input, outputs=output)\n\nfor layer in resnet152_model.layers:\n layer.trainable = False\n\nmodel152.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n\n\nmodel_checkpoint = ModelCheckpoint('resnet152_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodel152.summary()\n\n","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2024-06-24T07:43:16.445332Z","iopub.execute_input":"2024-06-24T07:43:16.445690Z","iopub.status.idle":"2024-06-24T07:43:20.298966Z","shell.execute_reply.started":"2024-06-24T07:43:16.445664Z","shell.execute_reply":"2024-06-24T07:43:20.298111Z"},"trusted":true},"execution_count":64,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_45\"\u001b[0m\n","text/html":"
Model: \"functional_45\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_18 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m230\u001b[0m, \u001b[38;5;34m230\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ input_layer_18[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_conv (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m9,472\u001b[0m โ”‚ conv1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv1_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pool โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ pool1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m4,160\u001b[0m โ”‚ pool1_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ pool1_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,448\u001b[0m โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,448\u001b[0m โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m32,896\u001b[0m โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m131,584\u001b[0m โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block4_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block4_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block4_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block4_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block4_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block5_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block5_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block5_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block5_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block5_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block6_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block6_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block6_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block6_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block6_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block7_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block7_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block7_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block7_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block7_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block8_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block8_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block8_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block8_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block8_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m131,328\u001b[0m โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m525,312\u001b[0m โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block4_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block4_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block4_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block4_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block4_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block5_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block5_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block5_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block5_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block5_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block6_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block6_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block6_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block6_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block6_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block7_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block7_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block7_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block7_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block7_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block8_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block8_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block8_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block8_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block8_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block9_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block9_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block9_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block9_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block9_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block9_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m524,800\u001b[0m โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m2,099,200\u001b[0m โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,049,088\u001b[0m โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,049,088\u001b[0m โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_22 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDropout\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_44 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m2,098,176\u001b[0m โ”‚ dropout_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_45 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚ dense_44[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_18      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_pad           โ”‚ (None, 230, 230,  โ”‚          0 โ”‚ input_layer_18[0โ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_conv (Conv2D) โ”‚ (None, 112, 112,  โ”‚      9,472 โ”‚ conv1_pad[0][0]   โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_bn            โ”‚ (None, 112, 112,  โ”‚        256 โ”‚ conv1_conv[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_relu          โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ conv1_bn[0][0]    โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pad           โ”‚ (None, 114, 114,  โ”‚          0 โ”‚ conv1_relu[0][0]  โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pool          โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ pool1_pad[0][0]   โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_conv โ”‚ (None, 56, 56,    โ”‚      4,160 โ”‚ pool1_pool[0][0]  โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ pool1_pool[0][0]  โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_conv โ”‚ (None, 56, 56,    โ”‚     16,448 โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_conv โ”‚ (None, 56, 56,    โ”‚     16,448 โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_conv โ”‚ (None, 28, 28,    โ”‚     32,896 โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_conv โ”‚ (None, 28, 28,    โ”‚    131,584 โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block4_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block4_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block4_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block4_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block4_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block5_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block5_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block5_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block5_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block5_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block6_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block6_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block6_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block6_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block6_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block7_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block7_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block7_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block7_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block7_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block8_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block8_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block8_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block8_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block8_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_conv โ”‚ (None, 14, 14,    โ”‚    131,328 โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_conv โ”‚ (None, 14, 14,    โ”‚    525,312 โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block4_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block4_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block4_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block4_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block4_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block5_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block5_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block5_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block5_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block5_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block6_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block6_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block6_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block6_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block6_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block7_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block7_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block7_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block7_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block7_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block8_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block8_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block8_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block8_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block8_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block9_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block9_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block9_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block9_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block9_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block9_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_conv โ”‚ (None, 7, 7, 512) โ”‚    524,800 โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_conv โ”‚ (None, 7, 7,      โ”‚  2,099,200 โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_conv โ”‚ (None, 7, 7, 512) โ”‚  1,049,088 โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_conv โ”‚ (None, 7, 7, 512) โ”‚  1,049,088 โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 2048)      โ”‚          0 โ”‚ conv5_block3_outโ€ฆ โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_22          โ”‚ (None, 2048)      โ”‚          0 โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (Dropout)           โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_44 (Dense)    โ”‚ (None, 1024)      โ”‚  2,098,176 โ”‚ dropout_22[0][0]  โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_45 (Dense)    โ”‚ (None, 5)         โ”‚      5,125 โ”‚ dense_44[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m60,474,245\u001b[0m (230.69 MB)\n","text/html":"
 Total params: 60,474,245 (230.69 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m58,370,944\u001b[0m (222.67 MB)\n","text/html":"
 Non-trainable params: 58,370,944 (222.67 MB)\n
\n"},"metadata":{}}]},{"cell_type":"markdown","source":"InceptionV3","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.applications import InceptionV3\nfrom tensorflow.keras.layers import Dense, GlobalAveragePooling2D\nfrom tensorflow.keras.models import Model\nfrom tensorflow.keras.optimizers import Adam\nfrom tensorflow.keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\n\ninceptionv3_model = InceptionV3(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nx = inceptionv3_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\npredictions = Dense(5, activation='softmax')(x) \n\nmodelv3 = Model(inputs=inceptionv3_model.input, outputs=predictions)\n\nfor layer in inceptionv3_model.layers:\n layer.trainable = False\n\nmodelv3.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodelv3.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:50:16.097608Z","iopub.execute_input":"2024-06-24T07:50:16.098412Z","iopub.status.idle":"2024-06-24T07:50:18.305129Z","shell.execute_reply.started":"2024-06-24T07:50:16.098382Z","shell.execute_reply":"2024-06-24T07:50:18.304274Z"},"scrolled":true,"trusted":true},"execution_count":71,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_55\"\u001b[0m\n","text/html":"
Model: \"functional_55\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_24 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_470 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ input_layer_24[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_470[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_470 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_471 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m9,216\u001b[0m โ”‚ activation_470[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_471[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_471 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_472 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ activation_471[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_472[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_472 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_20 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_472[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_473 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m5,120\u001b[0m โ”‚ max_pooling2d_20โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m240\u001b[0m โ”‚ conv2d_473[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_473 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_474 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m138,240\u001b[0m โ”‚ activation_473[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_474[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_474 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_21 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_474[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_478 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_478[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_478 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_476 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m9,216\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_479 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_478[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_476[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_479[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_476 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_479 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_475 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_477 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_476[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_480 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_479[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_481 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_475[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_477[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_480[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_481[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_475 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_477 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_480 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_481 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed0 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_475[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ activation_477[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_480[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_481[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_485 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_485[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_485 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_483 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_486 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_485[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_483[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_486[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_483 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_486 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_482 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_484 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_483[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_487 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_486[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_488 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_482[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_484[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_487[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_488[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_482 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_484 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_487 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_488 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_482[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ activation_484[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_487[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_488[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_492 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_492[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_492 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_490 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m13,824\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_493 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_492[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_490[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_493[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_490 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_493 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_489 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_491 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_490[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_494 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_493[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_495 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_489[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_491[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_494[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_495[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_489 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_491 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_494 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_495 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed2 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_489[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ activation_491[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_494[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_495[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_497 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_497[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_497 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_498 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_497[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_498[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_498 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_496 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m995,328\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_499 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_498[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_496[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_499[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_496 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_499 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_22 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed3 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_496[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_499[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ max_pooling2d_22โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_504 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m98,304\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_504[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_504 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_505 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_504[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_505[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_505 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_501 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m98,304\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_506 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_505[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_501[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_506[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_501 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_506 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_502 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_501[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_507 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_506[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_502[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_507[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_502 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_507 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_500 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_503 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m172,032\u001b[0m โ”‚ activation_502[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_508 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m172,032\u001b[0m โ”‚ activation_507[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_509 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_500[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_503[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_508[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_509[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_500 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_503 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_508 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_509 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed4 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_500[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_503[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_508[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_509[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_514 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_514[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_514 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_515 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_514[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_515[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_515 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_511 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_516 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_515[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_511[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_516[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_511 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_516 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_512 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_511[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_517 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_516[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_512[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_517[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_512 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_517 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_510 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_513 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_512[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_518 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_517[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_519 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_510[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_513[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_518[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_519[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_510 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_513 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_518 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_519 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed5 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_510[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_513[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_518[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_519[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_524 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_524[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_524 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_525 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_524[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_525[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_525 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_521 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_526 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_525[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_521[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_526[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_521 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_526 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_522 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_521[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_527 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_526[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_522[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_527[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_522 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_527 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_520 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_523 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_522[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_528 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_527[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_529 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_520[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_523[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_528[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_529[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_520 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_523 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_528 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_529 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed6 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_520[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_523[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_528[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_529[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_534 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_534[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_534 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_535 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_534[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_535[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_535 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_531 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_536 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_535[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_531[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_536[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_531 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_536 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_532 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_531[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_537 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_536[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_532[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_537[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_532 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_537 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_530 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_533 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_532[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_538 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_537[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_539 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_530[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_533[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_538[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_539[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_530 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_533 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_538 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_539 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed7 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_530[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_533[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_538[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_539[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_542 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_542[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_542 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_543 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_542[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_543[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_543 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_540 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_544 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_543[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_540[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_544[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_540 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_544 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_541 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m552,960\u001b[0m โ”‚ activation_540[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_545 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m331,776\u001b[0m โ”‚ activation_544[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_541[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_545[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_541 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_545 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_23 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed8 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_541[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ activation_545[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ max_pooling2d_23โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_550 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m573,440\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m1,344\u001b[0m โ”‚ conv2d_550[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_550 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_547 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m491,520\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_551 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,548,288\u001b[0m โ”‚ activation_550[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_547[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_551[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_547 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_551 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_548 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_547[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_549 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_547[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_552 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_551[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_553 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_551[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_546 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m409,600\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_548[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_549[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_552[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_553[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_554 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m245,760\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_546[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_548 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_549 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_552 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_553 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_554[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_546 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_0 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_548[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_549[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_10 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_552[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_553[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_554 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_546[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ mixed9_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ concatenate_10[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_554[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_559 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m917,504\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m1,344\u001b[0m โ”‚ conv2d_559[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_559 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_556 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m786,432\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_560 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,548,288\u001b[0m โ”‚ activation_559[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_556[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_560[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_556 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_560 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_557 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_556[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_558 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_556[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_561 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_560[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_562 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_560[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_555 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m655,360\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_557[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_558[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_561[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_562[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_563 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m393,216\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_555[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_557 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_558 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_561 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_562 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_563[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_555 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_557[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_558[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_11 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_561[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_562[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_563 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed10 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_555[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ mixed9_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ concatenate_11[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_563[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_55 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m2,098,176\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_56 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚ dense_55[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_24      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_470 (Conv2D) โ”‚ (None, 111, 111,  โ”‚        864 โ”‚ input_layer_24[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 111, 111,  โ”‚         96 โ”‚ conv2d_470[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_470      โ”‚ (None, 111, 111,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_471 (Conv2D) โ”‚ (None, 109, 109,  โ”‚      9,216 โ”‚ activation_470[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 109, 109,  โ”‚         96 โ”‚ conv2d_471[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_471      โ”‚ (None, 109, 109,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_472 (Conv2D) โ”‚ (None, 109, 109,  โ”‚     18,432 โ”‚ activation_471[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 109, 109,  โ”‚        192 โ”‚ conv2d_472[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_472      โ”‚ (None, 109, 109,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_20    โ”‚ (None, 54, 54,    โ”‚          0 โ”‚ activation_472[0โ€ฆ โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_473 (Conv2D) โ”‚ (None, 54, 54,    โ”‚      5,120 โ”‚ max_pooling2d_20โ€ฆ โ”‚\nโ”‚                     โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 54, 54,    โ”‚        240 โ”‚ conv2d_473[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_473      โ”‚ (None, 54, 54,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_474 (Conv2D) โ”‚ (None, 52, 52,    โ”‚    138,240 โ”‚ activation_473[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 52, 52,    โ”‚        576 โ”‚ conv2d_474[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_474      โ”‚ (None, 52, 52,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_21    โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_474[0โ€ฆ โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_478 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_478[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_478      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_476 (Conv2D) โ”‚ (None, 25, 25,    โ”‚      9,216 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_479 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_478[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_476[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_479[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_476      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_479      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_475 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_477 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_476[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_480 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_479[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_481 (Conv2D) โ”‚ (None, 25, 25,    โ”‚      6,144 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_475[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_477[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_480[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚         96 โ”‚ conv2d_481[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_475      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_477      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_480      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_481      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed0              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_475[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 256)              โ”‚            โ”‚ activation_477[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_480[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_481[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_485 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_485[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_485      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_483 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_486 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_485[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_483[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_486[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_483      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_486      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ mixed0[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_482 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_484 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_483[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_487 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_486[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_488 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_482[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_484[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_487[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_488[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_482      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_484      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_487      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_488      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed1              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_482[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 288)              โ”‚            โ”‚ activation_484[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_487[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_488[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_492 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_492[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_492      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_490 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     13,824 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_493 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_492[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_490[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_493[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_490      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_493      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ mixed1[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 288)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_489 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_491 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_490[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_494 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_493[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_495 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_489[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_491[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_494[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_495[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_489      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_491      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_494      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_495      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed2              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_489[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 288)              โ”‚            โ”‚ activation_491[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_494[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_495[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_497 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed2[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_497[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_497      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_498 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_497[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_498[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_498      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_496 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    995,328 โ”‚ mixed2[0][0]      โ”‚\nโ”‚                     โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_499 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     82,944 โ”‚ activation_498[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚      1,152 โ”‚ conv2d_496[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        288 โ”‚ conv2d_499[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_496      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_499      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_22    โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed2[0][0]      โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 288)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed3              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_496[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_499[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ max_pooling2d_22โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_504 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     98,304 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_504[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_504      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_505 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_504[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_505[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_505      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_501 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     98,304 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_506 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_505[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_501[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_506[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_501      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_506      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_502 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_501[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_507 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_506[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_502[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_507[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_502      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_507      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed3[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_500 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_503 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    172,032 โ”‚ activation_502[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_508 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    172,032 โ”‚ activation_507[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_509 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_500[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_503[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_508[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_509[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_500      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_503      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_508      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_509      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed4              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_500[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_503[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_508[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_509[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_514 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_514[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_514      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_515 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_514[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_515[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_515      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_511 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_516 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_515[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_511[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_516[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_511      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_516      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_512 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_511[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_517 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_516[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_512[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_517[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_512      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_517      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed4[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_510 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_513 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_512[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_518 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_517[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_519 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_510[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_513[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_518[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_519[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_510      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_513      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_518      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_519      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed5              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_510[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_513[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_518[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_519[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_524 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_524[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_524      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_525 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_524[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_525[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_525      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_521 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_526 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_525[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_521[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_526[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_521      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_526      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_522 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_521[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_527 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_526[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_522[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_527[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_522      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_527      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed5[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_520 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_523 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_522[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_528 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_527[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_529 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_520[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_523[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_528[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_529[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_520      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_523      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_528      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_529      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed6              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_520[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_523[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_528[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_529[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_534 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_534[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_534      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_535 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_534[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_535[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_535      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_531 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_536 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_535[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_531[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_536[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_531      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_536      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_532 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_531[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_537 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_536[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_532[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_537[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_532      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_537      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed6[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_530 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_533 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_532[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_538 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_537[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_539 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_530[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_533[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_538[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_539[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_530      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_533      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_538      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_539      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed7              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_530[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_533[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_538[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_539[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_542 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed7[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_542[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_542      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_543 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_542[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_543[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_543      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_540 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed7[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_544 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_543[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_540[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_544[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_540      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_544      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_541 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    552,960 โ”‚ activation_540[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_545 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    331,776 โ”‚ activation_544[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_541[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_545[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_541      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_545      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_23    โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ mixed7[0][0]      โ”‚\nโ”‚ (MaxPooling2D)      โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed8              โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_541[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 1280)             โ”‚            โ”‚ activation_545[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ max_pooling2d_23โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_550 (Conv2D) โ”‚ (None, 5, 5, 448) โ”‚    573,440 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 448) โ”‚      1,344 โ”‚ conv2d_550[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_550      โ”‚ (None, 5, 5, 448) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_547 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    491,520 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_551 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚  1,548,288 โ”‚ activation_550[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_547[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_551[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_547      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_551      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_548 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_547[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_549 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_547[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_552 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_551[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_553 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_551[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ mixed8[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_546 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    409,600 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_548[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_549[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_552[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_553[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_554 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    245,760 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_546[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_548      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_549      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_552      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_553      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_554[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_546      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_0            โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_548[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_549[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_10      โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_552[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_553[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_554      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9              โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_546[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 2048)             โ”‚            โ”‚ mixed9_0[0][0],   โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ concatenate_10[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_554[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_559 (Conv2D) โ”‚ (None, 5, 5, 448) โ”‚    917,504 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 448) โ”‚      1,344 โ”‚ conv2d_559[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_559      โ”‚ (None, 5, 5, 448) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_556 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    786,432 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_560 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚  1,548,288 โ”‚ activation_559[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_556[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_560[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_556      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_560      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_557 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_556[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_558 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_556[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_561 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_560[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_562 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_560[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ mixed9[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_555 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    655,360 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_557[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_558[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_561[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_562[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_563 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    393,216 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_555[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_557      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_558      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_561      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_562      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_563[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_555      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_1            โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_557[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_558[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_11      โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_561[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_562[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_563      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed10             โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_555[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 2048)             โ”‚            โ”‚ mixed9_1[0][0],   โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ concatenate_11[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_563[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 2048)      โ”‚          0 โ”‚ mixed10[0][0]     โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_55 (Dense)    โ”‚ (None, 1024)      โ”‚  2,098,176 โ”‚ global_average_pโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_56 (Dense)    โ”‚ (None, 5)         โ”‚      5,125 โ”‚ dense_55[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m23,906,085\u001b[0m (91.19 MB)\n","text/html":"
 Total params: 23,906,085 (91.19 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m21,802,784\u001b[0m (83.17 MB)\n","text/html":"
 Non-trainable params: 21,802,784 (83.17 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"# Define callbacks\nmodel_checkpoint = ModelCheckpoint('inceptionv3_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\n# Train the model\nepochs = 40\nhistory = modelv3.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:50:42.614721Z","iopub.execute_input":"2024-06-24T07:50:42.615082Z","iopub.status.idle":"2024-06-24T08:10:42.011096Z","shell.execute_reply.started":"2024-06-24T07:50:42.615054Z","shell.execute_reply":"2024-06-24T08:10:42.010203Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m 2/48\u001b[0m \u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m4s\u001b[0m 98ms/step - accuracy: 0.1953 - loss: 1.9122 ","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215469.675815 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m21/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m24s\u001b[0m 905ms/step - accuracy: 0.1894 - loss: 1.8224","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215487.651536 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 609ms/step - accuracy: 0.2042 - loss: 1.7496","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215504.867885 142 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1719215519.871236 139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.37052, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 1s/step - accuracy: 0.2050 - loss: 1.7476 - val_accuracy: 0.3705 - val_loss: 1.4769 - learning_rate: 1.0000e-05\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.3852 - loss: 1.4441\nEpoch 2: val_accuracy improved from 0.37052 to 0.45618, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.3856 - loss: 1.4436 - val_accuracy: 0.4562 - val_loss: 1.3237 - learning_rate: 1.0000e-05\nEpoch 3/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.5118 - loss: 1.2752\nEpoch 3: val_accuracy improved from 0.45618 to 0.55976, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.5123 - loss: 1.2745 - val_accuracy: 0.5598 - val_loss: 1.1867 - learning_rate: 1.0000e-05\nEpoch 4/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.5624 - loss: 1.1746\nEpoch 4: val_accuracy improved from 0.55976 to 0.59163, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.5626 - loss: 1.1742 - val_accuracy: 0.5916 - val_loss: 1.1023 - learning_rate: 1.0000e-05\nEpoch 5/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.5871 - loss: 1.0979\nEpoch 5: val_accuracy improved from 0.59163 to 0.63546, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.5877 - loss: 1.0970 - val_accuracy: 0.6355 - val_loss: 1.0408 - learning_rate: 1.0000e-05\nEpoch 6/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6568 - loss: 0.9807\nEpoch 6: val_accuracy improved from 0.63546 to 0.63745, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 528ms/step - accuracy: 0.6562 - loss: 0.9816 - val_accuracy: 0.6375 - val_loss: 0.9963 - learning_rate: 1.0000e-05\nEpoch 7/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6520 - loss: 0.9610\nEpoch 7: val_accuracy improved from 0.63745 to 0.65538, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.6522 - loss: 0.9607 - val_accuracy: 0.6554 - val_loss: 0.9510 - learning_rate: 1.0000e-05\nEpoch 8/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6682 - loss: 0.9198\nEpoch 8: val_accuracy did not improve from 0.65538\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.6681 - loss: 0.9201 - val_accuracy: 0.6454 - val_loss: 0.9359 - learning_rate: 1.0000e-05\nEpoch 9/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6684 - loss: 0.8937\nEpoch 9: val_accuracy improved from 0.65538 to 0.65936, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.6686 - loss: 0.8935 - val_accuracy: 0.6594 - val_loss: 0.9080 - learning_rate: 1.0000e-05\nEpoch 10/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6781 - loss: 0.8931\nEpoch 10: val_accuracy did not improve from 0.65936\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.6781 - loss: 0.8928 - val_accuracy: 0.6574 - val_loss: 0.8868 - learning_rate: 1.0000e-05\nEpoch 11/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.6972 - loss: 0.8395\nEpoch 11: val_accuracy improved from 0.65936 to 0.67729, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.6972 - loss: 0.8394 - val_accuracy: 0.6773 - val_loss: 0.8579 - learning_rate: 1.0000e-05\nEpoch 12/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.6949 - loss: 0.8386\nEpoch 12: val_accuracy improved from 0.67729 to 0.68526, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 532ms/step - accuracy: 0.6952 - loss: 0.8383 - val_accuracy: 0.6853 - val_loss: 0.8387 - learning_rate: 1.0000e-05\nEpoch 13/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6966 - loss: 0.8176\nEpoch 13: val_accuracy improved from 0.68526 to 0.70120, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 558ms/step - accuracy: 0.6968 - loss: 0.8173 - val_accuracy: 0.7012 - val_loss: 0.8270 - learning_rate: 1.0000e-05\nEpoch 14/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7294 - loss: 0.7623\nEpoch 14: val_accuracy did not improve from 0.70120\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.7292 - loss: 0.7624 - val_accuracy: 0.6952 - val_loss: 0.8178 - learning_rate: 1.0000e-05\nEpoch 15/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7187 - loss: 0.7743\nEpoch 15: val_accuracy improved from 0.70120 to 0.70717, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.7190 - loss: 0.7741 - val_accuracy: 0.7072 - val_loss: 0.7993 - learning_rate: 1.0000e-05\nEpoch 16/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7383 - loss: 0.7508\nEpoch 16: val_accuracy did not improve from 0.70717\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7383 - loss: 0.7506 - val_accuracy: 0.6992 - val_loss: 0.7940 - learning_rate: 1.0000e-05\nEpoch 17/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7362 - loss: 0.7549\nEpoch 17: val_accuracy improved from 0.70717 to 0.71912, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.7361 - loss: 0.7548 - val_accuracy: 0.7191 - val_loss: 0.7884 - learning_rate: 1.0000e-05\nEpoch 18/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7513 - loss: 0.7153\nEpoch 18: val_accuracy did not improve from 0.71912\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 512ms/step - accuracy: 0.7514 - loss: 0.7151 - val_accuracy: 0.7131 - val_loss: 0.7790 - learning_rate: 1.0000e-05\nEpoch 19/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7376 - loss: 0.7140\nEpoch 19: val_accuracy did not improve from 0.71912\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7377 - loss: 0.7138 - val_accuracy: 0.7171 - val_loss: 0.7575 - learning_rate: 1.0000e-05\nEpoch 20/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7591 - loss: 0.7039\nEpoch 20: val_accuracy improved from 0.71912 to 0.73506, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.7590 - loss: 0.7039 - val_accuracy: 0.7351 - val_loss: 0.7421 - learning_rate: 1.0000e-05\nEpoch 21/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7598 - loss: 0.6955\nEpoch 21: val_accuracy did not improve from 0.73506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.7597 - loss: 0.6955 - val_accuracy: 0.7231 - val_loss: 0.7395 - learning_rate: 1.0000e-05\nEpoch 22/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7304 - loss: 0.6947\nEpoch 22: val_accuracy did not improve from 0.73506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7309 - loss: 0.6943 - val_accuracy: 0.7291 - val_loss: 0.7387 - learning_rate: 1.0000e-05\nEpoch 23/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7364 - loss: 0.6880\nEpoch 23: val_accuracy improved from 0.73506 to 0.73705, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 539ms/step - accuracy: 0.7368 - loss: 0.6877 - val_accuracy: 0.7371 - val_loss: 0.7313 - learning_rate: 1.0000e-05\nEpoch 24/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.8037 - loss: 0.6450\nEpoch 24: val_accuracy did not improve from 0.73705\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.8033 - loss: 0.6453 - val_accuracy: 0.7371 - val_loss: 0.7173 - learning_rate: 1.0000e-05\nEpoch 25/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7477 - loss: 0.6955\nEpoch 25: val_accuracy improved from 0.73705 to 0.73904, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.7480 - loss: 0.6950 - val_accuracy: 0.7390 - val_loss: 0.7271 - learning_rate: 1.0000e-05\nEpoch 26/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7695 - loss: 0.6569\nEpoch 26: val_accuracy did not improve from 0.73904\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.7696 - loss: 0.6568 - val_accuracy: 0.7390 - val_loss: 0.7204 - learning_rate: 1.0000e-05\nEpoch 27/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7862 - loss: 0.6070\nEpoch 27: val_accuracy improved from 0.73904 to 0.74502, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.7859 - loss: 0.6075 - val_accuracy: 0.7450 - val_loss: 0.7000 - learning_rate: 1.0000e-05\nEpoch 28/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 448ms/step - accuracy: 0.7692 - loss: 0.6540\nEpoch 28: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 525ms/step - accuracy: 0.7692 - loss: 0.6535 - val_accuracy: 0.7430 - val_loss: 0.7039 - learning_rate: 1.0000e-05\nEpoch 29/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7770 - loss: 0.6258\nEpoch 29: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 516ms/step - accuracy: 0.7767 - loss: 0.6260 - val_accuracy: 0.7430 - val_loss: 0.6981 - learning_rate: 1.0000e-05\nEpoch 30/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7703 - loss: 0.6362\nEpoch 30: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7702 - loss: 0.6360 - val_accuracy: 0.7430 - val_loss: 0.7027 - learning_rate: 1.0000e-05\nEpoch 31/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7840 - loss: 0.6438\nEpoch 31: val_accuracy improved from 0.74502 to 0.75299, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 535ms/step - accuracy: 0.7839 - loss: 0.6436 - val_accuracy: 0.7530 - val_loss: 0.6854 - learning_rate: 1.0000e-05\nEpoch 32/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7739 - loss: 0.6072\nEpoch 32: val_accuracy did not improve from 0.75299\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.7739 - loss: 0.6072 - val_accuracy: 0.7450 - val_loss: 0.6856 - learning_rate: 1.0000e-05\nEpoch 33/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7579 - loss: 0.6496\nEpoch 33: val_accuracy improved from 0.75299 to 0.76096, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.7583 - loss: 0.6490 - val_accuracy: 0.7610 - val_loss: 0.6737 - learning_rate: 1.0000e-05\nEpoch 34/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7705 - loss: 0.5965\nEpoch 34: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.7706 - loss: 0.5964 - val_accuracy: 0.7590 - val_loss: 0.6654 - learning_rate: 1.0000e-05\nEpoch 35/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7633 - loss: 0.6314\nEpoch 35: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7637 - loss: 0.6306 - val_accuracy: 0.7590 - val_loss: 0.6714 - learning_rate: 1.0000e-05\nEpoch 36/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7913 - loss: 0.5923\nEpoch 36: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7914 - loss: 0.5922 - val_accuracy: 0.7490 - val_loss: 0.6725 - learning_rate: 1.0000e-05\nEpoch 37/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.8201 - loss: 0.5567\nEpoch 37: val_accuracy improved from 0.76096 to 0.76295, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 528ms/step - accuracy: 0.8196 - loss: 0.5572 - val_accuracy: 0.7629 - val_loss: 0.6595 - learning_rate: 1.0000e-05\nEpoch 38/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7924 - loss: 0.5430\nEpoch 38: val_accuracy did not improve from 0.76295\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7922 - loss: 0.5435 - val_accuracy: 0.7610 - val_loss: 0.6495 - learning_rate: 1.0000e-05\nEpoch 39/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7871 - loss: 0.5733\nEpoch 39: val_accuracy did not improve from 0.76295\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7873 - loss: 0.5732 - val_accuracy: 0.7570 - val_loss: 0.6466 - learning_rate: 1.0000e-05\nEpoch 40/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7929 - loss: 0.6056\nEpoch 40: val_accuracy improved from 0.76295 to 0.76892, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 565ms/step - accuracy: 0.7928 - loss: 0.6053 - val_accuracy: 0.7689 - val_loss: 0.6446 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = modelv3.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:46:00.191387Z","iopub.execute_input":"2024-06-24T08:46:00.192234Z","iopub.status.idle":"2024-06-24T08:46:04.497276Z","shell.execute_reply.started":"2024-06-24T08:46:00.192202Z","shell.execute_reply":"2024-06-24T08:46:04.496404Z"},"trusted":true},"execution_count":95,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 236ms/step - accuracy: 0.7941 - loss: 0.5531\nTest loss: 0.5449430346488953\nTest accuracy: 0.8070865869522095\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Ensemble Learning Second Attempt\n","metadata":{}},{"cell_type":"code","source":"modelv3.save('inceptionv3_80.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:46:16.688635Z","iopub.execute_input":"2024-06-24T08:46:16.689029Z","iopub.status.idle":"2024-06-24T08:46:17.226212Z","shell.execute_reply.started":"2024-06-24T08:46:16.689001Z","shell.execute_reply":"2024-06-24T08:46:17.225393Z"},"trusted":true},"execution_count":96,"outputs":[]},{"cell_type":"code","source":"from keras.models import load_model\n\n\nmodel1_VGG = load_model('/kaggle/working/82_test_acc.h5')\nmodel2_mobile = load_model('/kaggle/working/mobilenet_model.keras')\nmodel3 = load_model('/kaggle/working/inceptionv3_80.h5')\nmodel4 = load_model('/kaggle/working/model2_84percentacc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:10:42.630720Z","iopub.execute_input":"2024-06-24T09:10:42.631520Z","iopub.status.idle":"2024-06-24T09:10:46.349971Z","shell.execute_reply.started":"2024-06-24T09:10:42.631491Z","shell.execute_reply":"2024-06-24T09:10:46.348986Z"},"trusted":true},"execution_count":108,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n\n\nmodels = [model4, model1_VGG, model2_mobile, model3]\ntrue_labels = test_generator.classes\n\ndef simple_ensemble_predict(models, data_generator):\n preds = [model.predict(data_generator) for model in models]\n preds_array = np.array(preds)\n avg_preds = np.mean(preds_array, axis=0)\n ensemble_preds = np.argmax(avg_preds, axis=1)\n return ensemble_preds\n\nensemble_pred_labels = simple_ensemble_predict([model1_VGG, model2_mobile, model3, model4], test_generator)\naccuracy = accuracy_score(true_labels, ensemble_pred_labels)\nconf_matrix = confusion_matrix(true_labels, ensemble_pred_labels)\nclass_report = classification_report(true_labels, ensemble_pred_labels)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:12:13.816083Z","iopub.execute_input":"2024-06-24T09:12:13.816900Z","iopub.status.idle":"2024-06-24T09:12:30.530418Z","shell.execute_reply.started":"2024-06-24T09:12:13.816867Z","shell.execute_reply":"2024-06-24T09:12:30.529492Z"},"trusted":true},"execution_count":112,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 216ms/step\n\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 214ms/step\n\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 223ms/step\n\u001b[1m 1/16\u001b[0m \u001b[32mโ”\u001b[0m\u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m11s\u001b[0m 734ms/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220346.922421 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 239ms/step\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220350.500242 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"}]},{"cell_type":"code","source":"print(f'Ensemble model accuracy: {accuracy:.4f}')\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:23:16.351997Z","iopub.execute_input":"2024-06-24T09:23:16.352384Z","iopub.status.idle":"2024-06-24T09:23:16.357619Z","shell.execute_reply.started":"2024-06-24T09:23:16.352351Z","shell.execute_reply":"2024-06-24T09:23:16.356673Z"},"trusted":true},"execution_count":119,"outputs":[{"name":"stdout","text":"Ensemble model accuracy: 0.9055\n","output_type":"stream"}]},{"cell_type":"code","source":"\ncm = conf_matrix\n\n# Plot Confusion Matrix\nplt.figure(figsize=(10, 7))\nsns.heatmap(cm, annot=True, fmt=\"d\", cmap='Blues', xticklabels=test_generator.class_indices.keys(), yticklabels=test_generator.class_indices.keys())\nplt.xlabel('Predicted')\nplt.ylabel('True')\nplt.title('Confusion Matrix')\nplt.show()\n\n\nclassification_report_str = classification_report(true_labels, ensemble_pred_labels, target_names=test_generator.class_indices.keys())\n\nplt.figure(figsize=(10, 7))\nplt.text(0.01, 1.25, str('Classification Report'), {'fontsize': 14}, fontproperties='monospace') \nplt.text(0.01, 1.05, classification_report_str, {'fontsize': 10}, fontproperties='monospace') \nplt.axis('off')\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:23:21.412994Z","iopub.execute_input":"2024-06-24T09:23:21.413811Z","iopub.status.idle":"2024-06-24T09:23:21.945224Z","shell.execute_reply.started":"2024-06-24T09:23:21.413779Z","shell.execute_reply":"2024-06-24T09:23:21.943533Z"},"trusted":true},"execution_count":120,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"","metadata":{}}]} \ No newline at end of file diff --git a/Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb b/Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb new file mode 100644 index 000000000..d3f5a12fa --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb @@ -0,0 +1 @@ + From 5bc82667017c1a98b6a4f7e48b6805661afc1082 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 11:57:42 +0530 Subject: [PATCH 13/27] Add files via upload --- ...ensemble_learning_sugarcane_leaf_disease_classification.ipynb | 1 + 1 file changed, 1 insertion(+) create mode 100644 Sugarcane Leaf Disease Detection/Model/ensemble_learning_sugarcane_leaf_disease_classification.ipynb diff --git a/Sugarcane Leaf Disease Detection/Model/ensemble_learning_sugarcane_leaf_disease_classification.ipynb b/Sugarcane Leaf Disease Detection/Model/ensemble_learning_sugarcane_leaf_disease_classification.ipynb new file mode 100644 index 000000000..504a8d66b --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Model/ensemble_learning_sugarcane_leaf_disease_classification.ipynb @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":7424766,"sourceType":"datasetVersion","datasetId":4320051},{"sourceId":8685966,"sourceType":"datasetVersion","datasetId":5207707},{"sourceId":8688008,"sourceType":"datasetVersion","datasetId":5209154},{"sourceId":8770920,"sourceType":"datasetVersion","datasetId":5270788}],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","scrolled":true,"execution":{"iopub.status.busy":"2024-06-13T16:31:22.356814Z","iopub.execute_input":"2024-06-13T16:31:22.357220Z","iopub.status.idle":"2024-06-13T16:31:22.423068Z","shell.execute_reply.started":"2024-06-13T16:31:22.357191Z","shell.execute_reply":"2024-06-13T16:31:22.422012Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pip install split-folders\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:55:26.383491Z","iopub.execute_input":"2024-06-24T05:55:26.384185Z","iopub.status.idle":"2024-06-24T05:55:39.570938Z","shell.execute_reply.started":"2024-06-24T05:55:26.384154Z","shell.execute_reply":"2024-06-24T05:55:39.569863Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Collecting split-folders\n Downloading split_folders-0.5.1-py3-none-any.whl.metadata (6.2 kB)\nDownloading split_folders-0.5.1-py3-none-any.whl (8.4 kB)\nInstalling collected packages: split-folders\nSuccessfully installed split-folders-0.5.1\nNote: you may need to restart the kernel to use updated packages.\n","output_type":"stream"}]},{"cell_type":"code","source":"import cv2\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport os\nfrom PIL import Image\nimport splitfolders\nimport shutil\nimport seaborn as sns\nimport plotly.express as px\nimport keras \nfrom sklearn.metrics import confusion_matrix , classification_report \nfrom sklearn.preprocessing import LabelBinarizer\nfrom sklearn.metrics import roc_curve, auc, roc_auc_score\n\nfrom IPython.display import clear_output\nimport warnings\nwarnings.filterwarnings('ignore')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:55:57.549238Z","iopub.execute_input":"2024-06-24T05:55:57.549607Z","iopub.status.idle":"2024-06-24T05:56:10.523818Z","shell.execute_reply.started":"2024-06-24T05:55:57.549577Z","shell.execute_reply":"2024-06-24T05:56:10.523011Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stderr","text":"2024-06-24 05:56:00.832062: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-06-24 05:56:00.832157: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-06-24 05:56:00.959636: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"path = \"/kaggle/input/sugarcane-leaf-disease-dataset\"\nprint(os.listdir(path))","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:10.525501Z","iopub.execute_input":"2024-06-24T05:56:10.526473Z","iopub.status.idle":"2024-06-24T05:56:10.534631Z","shell.execute_reply.started":"2024-06-24T05:56:10.526433Z","shell.execute_reply":"2024-06-24T05:56:10.533805Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"['Yellow', 'Mosaic', 'Healthy', 'RedRot', 'Rust']\n","output_type":"stream"}]},{"cell_type":"code","source":"splitfolders.ratio(path,seed=1337, output=\"Sugarcane-Splitted\", ratio=(0.6, 0.2, 0.2))\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:10.535839Z","iopub.execute_input":"2024-06-24T05:56:10.537689Z","iopub.status.idle":"2024-06-24T05:56:22.887281Z","shell.execute_reply.started":"2024-06-24T05:56:10.537659Z","shell.execute_reply":"2024-06-24T05:56:22.886464Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stderr","text":"Copying files: 2521 files [00:12, 206.67 files/s]\n","output_type":"stream"}]},{"cell_type":"code","source":"import cv2\n\nimg_path = \"/kaggle/working/Sugarcane-Splitted/train/Yellow/yellow (337).jpeg\"\nimage = cv2.imread(img_path)\nif image is not None:\n image_shape = image.shape\n print(\"Image shape:\", image_shape)\nelse:\n print(\"Error: Image not found or could not be loaded.\")\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T05:56:22.889216Z","iopub.execute_input":"2024-06-24T05:56:22.889496Z","iopub.status.idle":"2024-06-24T05:56:22.914608Z","shell.execute_reply.started":"2024-06-24T05:56:22.889472Z","shell.execute_reply":"2024-06-24T05:56:22.913861Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"Image shape: (1040, 493, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n\ntrain_datagen = ImageDataGenerator(rescale=1./255)\nval_datagen = ImageDataGenerator(rescale=1./255)\ntest_datagen = ImageDataGenerator(rescale=1./255)\n\n\ninput_shape= (260, 123, 3)\n\ntrain_dir = '/kaggle/working/Sugarcane-Splitted/train'\nval_dir = '/kaggle/working/Sugarcane-Splitted/val'\ntest_dir = '/kaggle/working/Sugarcane-Splitted/test'\n\ntrain_datagen = ImageDataGenerator(\n rescale=1./255,\n rotation_range=20,\n width_shift_range=0.2,\n height_shift_range=0.2,\n shear_range=0.2,\n zoom_range=0.2,\n horizontal_flip=True,\n fill_mode='nearest'\n)\n\nval_datagen = ImageDataGenerator(rescale=1./255)\ntarget_size = (224, 224)\n\ntrain_generator = train_datagen.flow_from_directory(\n train_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical'\n)\n\nval_generator = val_datagen.flow_from_directory(\n val_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical'\n)\n\n\ntest_datagen = ImageDataGenerator(rescale=1./255)\ntest_generator = test_datagen.flow_from_directory(\n test_dir,\n target_size=(224, 224),\n batch_size=32,\n class_mode='categorical',\n shuffle=False \n)\n\nimg_shape = train_generator.image_shape\nprint(\"Image dimensions:\", img_shape)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:53:24.067701Z","iopub.execute_input":"2024-06-24T06:53:24.068487Z","iopub.status.idle":"2024-06-24T06:53:24.179033Z","shell.execute_reply.started":"2024-06-24T06:53:24.068455Z","shell.execute_reply":"2024-06-24T06:53:24.178149Z"},"trusted":true},"execution_count":44,"outputs":[{"name":"stdout","text":"Found 1511 images belonging to 5 classes.\nFound 502 images belonging to 5 classes.\nFound 508 images belonging to 5 classes.\nImage dimensions: (224, 224, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\ndef display_images(generator, num_rows=4, num_cols=4):\n \n images, labels = next(generator)\n\n \n class_indices = generator.class_indices\n\n \n CLASS_LABELS = [\"Healthy\", \"Yellow\", \"RedRot\", \"Mosaic\", \"Rust\"]\n\n \n class_names = [CLASS_LABELS[index] for index in range(len(CLASS_LABELS))]\n\n\n\n \n plt.figure(figsize=(10, 10))\n for i in range(num_rows * num_cols):\n plt.subplot(num_rows, num_cols, i + 1)\n plt.imshow(images[i])\n plt.title(f\"Class: {class_names[np.argmax(labels[i])]}\")\n plt.axis('off')\n\n plt.show()\n\n\ndisplay_images(train_generator)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:52:46.567893Z","iopub.execute_input":"2024-06-24T06:52:46.568225Z","iopub.status.idle":"2024-06-24T06:52:48.473918Z","shell.execute_reply.started":"2024-06-24T06:52:46.568200Z","shell.execute_reply":"2024-06-24T06:52:48.472950Z"},"trusted":true},"execution_count":43,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"First Model Architecture\n","metadata":{}},{"cell_type":"code","source":"from keras.models import Sequential\nfrom keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, BatchNormalization\n\nmodel2 = Sequential()\n\nmodel2.add(Conv2D(32, (3, 3), input_shape=(224, 224, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Conv2D(64, (3, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Conv2D(128, (3, 3), activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(MaxPooling2D(pool_size=(2, 2)))\nmodel2.add(Dropout(0.25))\n\nmodel2.add(Flatten())\n\nmodel2.add(Dense(512, activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(Dropout(0.5))\n\nmodel2.add(Dense(256, activation='relu'))\nmodel2.add(BatchNormalization())\nmodel2.add(Dropout(0.5))\n\nmodel2.add(Dense(5, activation='softmax'))\n\nmodel2.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n\nmodel2.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:22:37.811407Z","iopub.execute_input":"2024-06-24T08:22:37.812220Z","iopub.status.idle":"2024-06-24T08:22:38.086219Z","shell.execute_reply.started":"2024-06-24T08:22:37.812187Z","shell.execute_reply":"2024-06-24T08:22:38.085365Z"},"trusted":true},"execution_count":92,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential_1\"\u001b[0m\n","text/html":"
Model: \"sequential_1\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ conv2d_567 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m896\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_581 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m222\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_27 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_28 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m32\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_568 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m18,496\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_582 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_28 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_29 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_569 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m73,856\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_583 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_29 (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_30 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m26\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m86528\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_60 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m44,302,848\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_584 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_31 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_61 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m131,328\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_585 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalization\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_32 (\u001b[38;5;33mDropout\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_62 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m1,285\u001b[0m โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)                    โ”ƒ Output Shape           โ”ƒ       Param # โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ conv2d_567 (Conv2D)             โ”‚ (None, 222, 222, 32)   โ”‚           896 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_581         โ”‚ (None, 222, 222, 32)   โ”‚           128 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_27 (MaxPooling2D) โ”‚ (None, 111, 111, 32)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_28 (Dropout)            โ”‚ (None, 111, 111, 32)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_568 (Conv2D)             โ”‚ (None, 109, 109, 64)   โ”‚        18,496 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_582         โ”‚ (None, 109, 109, 64)   โ”‚           256 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_28 (MaxPooling2D) โ”‚ (None, 54, 54, 64)     โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_29 (Dropout)            โ”‚ (None, 54, 54, 64)     โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_569 (Conv2D)             โ”‚ (None, 52, 52, 128)    โ”‚        73,856 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_583         โ”‚ (None, 52, 52, 128)    โ”‚           512 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_29 (MaxPooling2D) โ”‚ (None, 26, 26, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_30 (Dropout)            โ”‚ (None, 26, 26, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ flatten_1 (Flatten)             โ”‚ (None, 86528)          โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_60 (Dense)                โ”‚ (None, 512)            โ”‚    44,302,848 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_584         โ”‚ (None, 512)            โ”‚         2,048 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_31 (Dropout)            โ”‚ (None, 512)            โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_61 (Dense)                โ”‚ (None, 256)            โ”‚       131,328 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalization_585         โ”‚ (None, 256)            โ”‚         1,024 โ”‚\nโ”‚ (BatchNormalization)            โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_32 (Dropout)            โ”‚ (None, 256)            โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_62 (Dense)                โ”‚ (None, 5)              โ”‚         1,285 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m44,532,677\u001b[0m (169.88 MB)\n","text/html":"
 Total params: 44,532,677 (169.88 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m44,530,693\u001b[0m (169.87 MB)\n","text/html":"
 Trainable params: 44,530,693 (169.87 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m1,984\u001b[0m (7.75 KB)\n","text/html":"
 Non-trainable params: 1,984 (7.75 KB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"\nfrom keras.callbacks import ReduceLROnPlateau, EarlyStopping\n\n\nmodel_checkpoint = ModelCheckpoint('inceptionv3_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nepochs = 40\nhistory = model2.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)\n\n\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:48:17.687512Z","iopub.execute_input":"2024-06-24T08:48:17.688356Z","iopub.status.idle":"2024-06-24T09:07:33.063991Z","shell.execute_reply.started":"2024-06-24T08:48:17.688319Z","shell.execute_reply":"2024-06-24T09:07:33.063098Z"},"trusted":true},"execution_count":101,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.5353 - loss: 1.3409\nEpoch 1: val_accuracy improved from -inf to 0.18327, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 570ms/step - accuracy: 0.5357 - loss: 1.3394 - val_accuracy: 0.1833 - val_loss: 18.4986 - learning_rate: 0.0010\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 447ms/step - accuracy: 0.6025 - loss: 1.1096\nEpoch 2: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 525ms/step - accuracy: 0.6028 - loss: 1.1084 - val_accuracy: 0.1833 - val_loss: 13.6835 - learning_rate: 0.0010\nEpoch 3/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6199 - loss: 1.0413\nEpoch 3: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.6201 - loss: 1.0409 - val_accuracy: 0.1833 - val_loss: 13.4558 - learning_rate: 0.0010\nEpoch 4/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.6388 - loss: 1.0010\nEpoch 4: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 521ms/step - accuracy: 0.6386 - loss: 1.0013 - val_accuracy: 0.1833 - val_loss: 11.3378 - learning_rate: 0.0010\nEpoch 5/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.6288 - loss: 0.9499\nEpoch 5: val_accuracy did not improve from 0.18327\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6291 - loss: 0.9496 - val_accuracy: 0.1833 - val_loss: 6.9379 - learning_rate: 0.0010\nEpoch 6/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6690 - loss: 0.8498\nEpoch 6: val_accuracy improved from 0.18327 to 0.23506, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 556ms/step - accuracy: 0.6691 - loss: 0.8498 - val_accuracy: 0.2351 - val_loss: 4.5784 - learning_rate: 0.0010\nEpoch 7/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6795 - loss: 0.9295\nEpoch 7: val_accuracy did not improve from 0.23506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.6793 - loss: 0.9288 - val_accuracy: 0.2112 - val_loss: 6.3821 - learning_rate: 0.0010\nEpoch 8/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 427ms/step - accuracy: 0.6955 - loss: 0.8469\nEpoch 8: val_accuracy improved from 0.23506 to 0.31474, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 552ms/step - accuracy: 0.6953 - loss: 0.8474 - val_accuracy: 0.3147 - val_loss: 2.6314 - learning_rate: 0.0010\nEpoch 9/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.6721 - loss: 0.8497\nEpoch 9: val_accuracy improved from 0.31474 to 0.47012, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 560ms/step - accuracy: 0.6724 - loss: 0.8492 - val_accuracy: 0.4701 - val_loss: 1.6875 - learning_rate: 0.0010\nEpoch 10/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7195 - loss: 0.7820\nEpoch 10: val_accuracy did not improve from 0.47012\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7195 - loss: 0.7823 - val_accuracy: 0.4183 - val_loss: 1.9135 - learning_rate: 0.0010\nEpoch 11/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 427ms/step - accuracy: 0.7145 - loss: 0.7225\nEpoch 11: val_accuracy did not improve from 0.47012\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 501ms/step - accuracy: 0.7147 - loss: 0.7224 - val_accuracy: 0.4004 - val_loss: 3.4161 - learning_rate: 0.0010\nEpoch 12/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7153 - loss: 0.7980\nEpoch 12: val_accuracy improved from 0.47012 to 0.55578, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 556ms/step - accuracy: 0.7153 - loss: 0.7976 - val_accuracy: 0.5558 - val_loss: 1.5413 - learning_rate: 0.0010\nEpoch 13/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 442ms/step - accuracy: 0.7210 - loss: 0.7303\nEpoch 13: val_accuracy did not improve from 0.55578\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 519ms/step - accuracy: 0.7209 - loss: 0.7305 - val_accuracy: 0.5378 - val_loss: 1.4778 - learning_rate: 0.0010\nEpoch 14/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7475 - loss: 0.6624\nEpoch 14: val_accuracy improved from 0.55578 to 0.57570, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 560ms/step - accuracy: 0.7472 - loss: 0.6637 - val_accuracy: 0.5757 - val_loss: 1.1399 - learning_rate: 0.0010\nEpoch 15/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7578 - loss: 0.6489\nEpoch 15: val_accuracy improved from 0.57570 to 0.69323, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 557ms/step - accuracy: 0.7575 - loss: 0.6493 - val_accuracy: 0.6932 - val_loss: 0.8029 - learning_rate: 0.0010\nEpoch 16/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7600 - loss: 0.6506\nEpoch 16: val_accuracy did not improve from 0.69323\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7598 - loss: 0.6507 - val_accuracy: 0.5438 - val_loss: 1.4752 - learning_rate: 0.0010\nEpoch 17/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7742 - loss: 0.5993\nEpoch 17: val_accuracy did not improve from 0.69323\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7740 - loss: 0.5999 - val_accuracy: 0.5717 - val_loss: 1.2891 - learning_rate: 0.0010\nEpoch 18/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7608 - loss: 0.6373\nEpoch 18: val_accuracy improved from 0.69323 to 0.74104, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 553ms/step - accuracy: 0.7608 - loss: 0.6373 - val_accuracy: 0.7410 - val_loss: 0.6866 - learning_rate: 0.0010\nEpoch 19/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7562 - loss: 0.6182\nEpoch 19: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7563 - loss: 0.6185 - val_accuracy: 0.5518 - val_loss: 1.3742 - learning_rate: 0.0010\nEpoch 20/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 428ms/step - accuracy: 0.7642 - loss: 0.6314\nEpoch 20: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7643 - loss: 0.6313 - val_accuracy: 0.4721 - val_loss: 2.2594 - learning_rate: 0.0010\nEpoch 21/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7846 - loss: 0.6073\nEpoch 21: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7844 - loss: 0.6073 - val_accuracy: 0.7052 - val_loss: 0.8557 - learning_rate: 0.0010\nEpoch 22/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7962 - loss: 0.5384\nEpoch 22: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7963 - loss: 0.5386 - val_accuracy: 0.7410 - val_loss: 0.6646 - learning_rate: 0.0010\nEpoch 23/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7698 - loss: 0.5934\nEpoch 23: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7699 - loss: 0.5932 - val_accuracy: 0.6155 - val_loss: 0.9930 - learning_rate: 0.0010\nEpoch 24/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7944 - loss: 0.5348\nEpoch 24: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7941 - loss: 0.5357 - val_accuracy: 0.6773 - val_loss: 0.8424 - learning_rate: 0.0010\nEpoch 25/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7971 - loss: 0.5388\nEpoch 25: val_accuracy did not improve from 0.74104\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 503ms/step - accuracy: 0.7972 - loss: 0.5388 - val_accuracy: 0.7251 - val_loss: 0.7928 - learning_rate: 0.0010\nEpoch 26/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.8000 - loss: 0.5457\nEpoch 26: val_accuracy improved from 0.74104 to 0.75299, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 554ms/step - accuracy: 0.8002 - loss: 0.5452 - val_accuracy: 0.7530 - val_loss: 0.7401 - learning_rate: 0.0010\nEpoch 27/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 442ms/step - accuracy: 0.7904 - loss: 0.5179\nEpoch 27: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 27: val_accuracy did not improve from 0.75299\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7908 - loss: 0.5171 - val_accuracy: 0.6833 - val_loss: 0.8404 - learning_rate: 0.0010\nEpoch 28/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 428ms/step - accuracy: 0.8211 - loss: 0.4977\nEpoch 28: val_accuracy improved from 0.75299 to 0.82669, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 552ms/step - accuracy: 0.8214 - loss: 0.4968 - val_accuracy: 0.8267 - val_loss: 0.4684 - learning_rate: 1.0000e-04\nEpoch 29/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.8363 - loss: 0.4685\nEpoch 29: val_accuracy improved from 0.82669 to 0.84661, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 566ms/step - accuracy: 0.8363 - loss: 0.4683 - val_accuracy: 0.8466 - val_loss: 0.4421 - learning_rate: 1.0000e-04\nEpoch 30/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.8658 - loss: 0.3958\nEpoch 30: val_accuracy improved from 0.84661 to 0.85060, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 557ms/step - accuracy: 0.8654 - loss: 0.3966 - val_accuracy: 0.8506 - val_loss: 0.4161 - learning_rate: 1.0000e-04\nEpoch 31/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.8418 - loss: 0.4051\nEpoch 31: val_accuracy did not improve from 0.85060\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.8416 - loss: 0.4055 - val_accuracy: 0.8127 - val_loss: 0.5276 - learning_rate: 1.0000e-04\nEpoch 32/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.8349 - loss: 0.4287\nEpoch 32: val_accuracy did not improve from 0.85060\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.8351 - loss: 0.4285 - val_accuracy: 0.8287 - val_loss: 0.4647 - learning_rate: 1.0000e-04\nEpoch 33/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.8599 - loss: 0.3777\nEpoch 33: val_accuracy improved from 0.85060 to 0.85259, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 555ms/step - accuracy: 0.8598 - loss: 0.3781 - val_accuracy: 0.8526 - val_loss: 0.4069 - learning_rate: 1.0000e-04\nEpoch 34/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.8509 - loss: 0.4017\nEpoch 34: val_accuracy improved from 0.85259 to 0.86653, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 561ms/step - accuracy: 0.8509 - loss: 0.4019 - val_accuracy: 0.8665 - val_loss: 0.3727 - learning_rate: 1.0000e-04\nEpoch 35/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 452ms/step - accuracy: 0.8529 - loss: 0.3952\nEpoch 35: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 525ms/step - accuracy: 0.8529 - loss: 0.3955 - val_accuracy: 0.7948 - val_loss: 0.6215 - learning_rate: 1.0000e-04\nEpoch 36/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.8572 - loss: 0.4037\nEpoch 36: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.8572 - loss: 0.4034 - val_accuracy: 0.8625 - val_loss: 0.3769 - learning_rate: 1.0000e-04\nEpoch 37/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.8606 - loss: 0.3785\nEpoch 37: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.8606 - loss: 0.3783 - val_accuracy: 0.7988 - val_loss: 0.6632 - learning_rate: 1.0000e-04\nEpoch 38/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.8548 - loss: 0.3995\nEpoch 38: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.8547 - loss: 0.3997 - val_accuracy: 0.8546 - val_loss: 0.3832 - learning_rate: 1.0000e-04\nEpoch 39/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.8480 - loss: 0.4061\nEpoch 39: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 39: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.8482 - loss: 0.4058 - val_accuracy: 0.8586 - val_loss: 0.3976 - learning_rate: 1.0000e-04\nEpoch 40/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.8619 - loss: 0.3729\nEpoch 40: val_accuracy did not improve from 0.86653\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.8619 - loss: 0.3729 - val_accuracy: 0.8586 - val_loss: 0.4002 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = model2.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:08:01.787461Z","iopub.execute_input":"2024-06-24T09:08:01.787825Z","iopub.status.idle":"2024-06-24T09:08:08.734751Z","shell.execute_reply.started":"2024-06-24T09:08:01.787795Z","shell.execute_reply":"2024-06-24T09:08:08.733846Z"},"trusted":true},"execution_count":102,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 418ms/step - accuracy: 0.8278 - loss: 0.4176\nTest loss: 0.40044909715652466\nTest accuracy: 0.8484252095222473\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220088.717370 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"}]},{"cell_type":"code","source":"model2.save('model2_84percentacc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:08:39.723501Z","iopub.execute_input":"2024-06-24T09:08:39.724096Z","iopub.status.idle":"2024-06-24T09:08:40.819185Z","shell.execute_reply.started":"2024-06-24T09:08:39.724066Z","shell.execute_reply":"2024-06-24T09:08:40.818393Z"},"trusted":true},"execution_count":103,"outputs":[]},{"cell_type":"markdown","source":"Using Pre Trained Models\n","metadata":{}},{"cell_type":"code","source":"from keras.applications import VGG16\nfrom keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nvgg16_model = VGG16(weights='imagenet', include_top=False, input_shape=(224,224, 3))\n\nfeature_extractor = Model(inputs=vgg16_model.input, outputs=vgg16_model.get_layer('block4_pool').output)\n\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\nmodel16 = Model(inputs=feature_extractor.input, outputs=output)\n\n\nmodel16.compile(optimizer=Adam(learning_rate=0.001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodel16.summary()\n\n\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:11:54.797192Z","iopub.execute_input":"2024-06-24T07:11:54.797812Z","iopub.status.idle":"2024-06-24T07:11:55.101074Z","shell.execute_reply.started":"2024-06-24T07:11:54.797779Z","shell.execute_reply":"2024-06-24T07:11:55.100145Z"},"trusted":true},"execution_count":52,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_43\"\u001b[0m\n","text/html":"
Model: \"functional_43\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_17 (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m1,792\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m73,856\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m295,168\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,180,160\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooling2d_17 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_42 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m525,312\u001b[0m โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_43 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)                    โ”ƒ Output Shape           โ”ƒ       Param # โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_17 (InputLayer)     โ”‚ (None, 224, 224, 3)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv1 (Conv2D)           โ”‚ (None, 224, 224, 64)   โ”‚         1,792 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_conv2 (Conv2D)           โ”‚ (None, 224, 224, 64)   โ”‚        36,928 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block1_pool (MaxPooling2D)      โ”‚ (None, 112, 112, 64)   โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv1 (Conv2D)           โ”‚ (None, 112, 112, 128)  โ”‚        73,856 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_conv2 (Conv2D)           โ”‚ (None, 112, 112, 128)  โ”‚       147,584 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block2_pool (MaxPooling2D)      โ”‚ (None, 56, 56, 128)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv1 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       295,168 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv2 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       590,080 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_conv3 (Conv2D)           โ”‚ (None, 56, 56, 256)    โ”‚       590,080 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block3_pool (MaxPooling2D)      โ”‚ (None, 28, 28, 256)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv1 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     1,180,160 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv2 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     2,359,808 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_conv3 (Conv2D)           โ”‚ (None, 28, 28, 512)    โ”‚     2,359,808 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block4_pool (MaxPooling2D)      โ”‚ (None, 14, 14, 512)    โ”‚             0 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooling2d_17     โ”‚ (None, 512)            โ”‚             0 โ”‚\nโ”‚ (GlobalAveragePooling2D)        โ”‚                        โ”‚               โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_42 (Dense)                โ”‚ (None, 1024)           โ”‚       525,312 โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_43 (Dense)                โ”‚ (None, 5)              โ”‚         5,125 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,165,701\u001b[0m (31.15 MB)\n","text/html":"
 Total params: 8,165,701 (31.15 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m530,437\u001b[0m (2.02 MB)\n","text/html":"
 Trainable params: 530,437 (2.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m7,635,264\u001b[0m (29.13 MB)\n","text/html":"
 Non-trainable params: 7,635,264 (29.13 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"epochs = 17\n\nhistory = model16.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:36:27.261778Z","iopub.execute_input":"2024-06-24T07:36:27.262375Z","iopub.status.idle":"2024-06-24T07:41:13.902865Z","shell.execute_reply.started":"2024-06-24T07:36:27.262341Z","shell.execute_reply":"2024-06-24T07:41:13.902050Z"},"trusted":true},"execution_count":60,"outputs":[{"name":"stdout","text":"Epoch 1/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.6507 - loss: 0.8859","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719214614.511715 141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 549ms/step - accuracy: 0.6506 - loss: 0.8862 - val_accuracy: 0.7251 - val_loss: 0.7658 - learning_rate: 0.0010\nEpoch 2/17\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719214618.128470 141 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 443ms/step - accuracy: 0.6751 - loss: 0.8348\nEpoch 2: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6755 - loss: 0.8336 - val_accuracy: 0.6574 - val_loss: 0.9390 - learning_rate: 0.0010\nEpoch 3/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6767 - loss: 0.8283\nEpoch 3: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.6771 - loss: 0.8274 - val_accuracy: 0.7610 - val_loss: 0.6719 - learning_rate: 0.0010\nEpoch 4/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.7568 - loss: 0.6717\nEpoch 4: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.7566 - loss: 0.6719 - val_accuracy: 0.7231 - val_loss: 0.7189 - learning_rate: 0.0010\nEpoch 5/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7833 - loss: 0.5983\nEpoch 5: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.7825 - loss: 0.5997 - val_accuracy: 0.6793 - val_loss: 0.8659 - learning_rate: 0.0010\nEpoch 6/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7607 - loss: 0.6344\nEpoch 6: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7604 - loss: 0.6354 - val_accuracy: 0.7749 - val_loss: 0.6255 - learning_rate: 0.0010\nEpoch 7/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7707 - loss: 0.6229\nEpoch 7: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 516ms/step - accuracy: 0.7709 - loss: 0.6225 - val_accuracy: 0.7849 - val_loss: 0.5701 - learning_rate: 0.0010\nEpoch 8/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 441ms/step - accuracy: 0.7994 - loss: 0.5884\nEpoch 8: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 519ms/step - accuracy: 0.7992 - loss: 0.5884 - val_accuracy: 0.7749 - val_loss: 0.6136 - learning_rate: 0.0010\nEpoch 9/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 445ms/step - accuracy: 0.7864 - loss: 0.5555\nEpoch 9: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7866 - loss: 0.5553 - val_accuracy: 0.7649 - val_loss: 0.6434 - learning_rate: 0.0010\nEpoch 10/17\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 447ms/step - accuracy: 0.7955 - loss: 0.5735\nEpoch 10: val_accuracy did not improve from 0.85657\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7956 - loss: 0.5728 - val_accuracy: 0.8108 - val_loss: 0.5511 - learning_rate: 0.0010\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:33:47.939208Z","iopub.execute_input":"2024-06-24T07:33:47.939563Z","iopub.status.idle":"2024-06-24T07:33:48.209402Z","shell.execute_reply.started":"2024-06-24T07:33:47.939536Z","shell.execute_reply":"2024-06-24T07:33:48.208515Z"},"trusted":true},"execution_count":54,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"test_loss, test_accuracy = model.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:42:48.818729Z","iopub.execute_input":"2024-06-24T07:42:48.819083Z","iopub.status.idle":"2024-06-24T07:42:52.935078Z","shell.execute_reply.started":"2024-06-24T07:42:48.819056Z","shell.execute_reply":"2024-06-24T07:42:52.934032Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 221ms/step - accuracy: 0.8335 - loss: 0.4393\nTest loss: 0.44055408239364624\nTest accuracy: 0.8287401795387268\n","output_type":"stream"}]},{"cell_type":"code","source":"model.save('82_test_acc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:35:28.936250Z","iopub.execute_input":"2024-06-24T07:35:28.936802Z","iopub.status.idle":"2024-06-24T07:35:29.017422Z","shell.execute_reply.started":"2024-06-24T07:35:28.936774Z","shell.execute_reply":"2024-06-24T07:35:29.016665Z"},"trusted":true},"execution_count":58,"outputs":[]},{"cell_type":"markdown","source":"MobileNetV2","metadata":{}},{"cell_type":"code","source":"from keras.applications import MobileNetV2\nfrom keras.layers import Dense, GlobalAveragePooling2D, Dropout\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nmobilenet_model = MobileNetV2(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nfeature_extractor = Model(inputs=mobilenet_model.input, outputs=mobilenet_model.output)\n\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dropout(0.5)(x) \nx = Dense(1024, activation='relu')(x)\nx = Dense(512, activation='relu')(x) \noutput = Dense(5, activation='softmax')(x) \n\nmodelV2 = Model(inputs=feature_extractor.input, outputs=output)\n\nmodelV2.compile(optimizer=Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodel_checkpoint = ModelCheckpoint('mobilenet_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodelV2.summary()","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:54:42.838785Z","iopub.execute_input":"2024-06-24T06:54:42.839142Z","iopub.status.idle":"2024-06-24T06:54:43.874046Z","shell.execute_reply.started":"2024-06-24T06:54:42.839116Z","shell.execute_reply":"2024-06-24T06:54:43.873102Z"},"trusted":true},"execution_count":46,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_35\"\u001b[0m\n","text/html":"
Model: \"functional_35\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_15 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ input_layer_15[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ bn_Conv1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1_relu (\u001b[38;5;33mReLU\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ bn_Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ Conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m16\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m64\u001b[0m โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m16\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_1_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m113\u001b[0m, \u001b[38;5;34m113\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ block_1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ block_1_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_2_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_2_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,296\u001b[0m โ”‚ block_2_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ block_2_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m24\u001b[0m) โ”‚ โ”‚ block_2_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_2_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_3_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,296\u001b[0m โ”‚ block_3_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m144\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m4,608\u001b[0m โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_3_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_4_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_4_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_4_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ block_4_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_5_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_5_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_5_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m128\u001b[0m โ”‚ block_5_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ block_5_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ block_5_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_6_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,728\u001b[0m โ”‚ block_6_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m768\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_6_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_7_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_7_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_7_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_7_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_8_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_8_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_8_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_8_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_9_expand[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_9_expand_Bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_9_expand_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ block_9_project[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ block_9_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m24,576\u001b[0m โ”‚ block_9_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_10_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m3,456\u001b[0m โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,536\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m36,864\u001b[0m โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_11_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_11_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ block_11_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_12_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ block_12_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ block_12_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ block_12_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_13_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m5,184\u001b[0m โ”‚ block_13_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m2,304\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m92,160\u001b[0m โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_14_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_14_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ block_14_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_15_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m640\u001b[0m โ”‚ block_15_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_add (\u001b[38;5;33mAdd\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ block_15_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m153,600\u001b[0m โ”‚ block_15_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_16_expand[\u001b[38;5;34mโ€ฆ\u001b[0m โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwise โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m8,640\u001b[0m โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m3,840\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mReLU\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m307,200\u001b[0m โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project_BN โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m1,280\u001b[0m โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m409,600\u001b[0m โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m5,120\u001b[0m โ”‚ Conv_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ out_relu (\u001b[38;5;33mReLU\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ Conv_1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ out_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_21 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDropout\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_37 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m1,311,744\u001b[0m โ”‚ dropout_21[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_38 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m524,800\u001b[0m โ”‚ dense_37[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_39 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m2,565\u001b[0m โ”‚ dense_38[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_15      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1 (Conv2D)      โ”‚ (None, 112, 112,  โ”‚        864 โ”‚ input_layer_15[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ bn_Conv1            โ”‚ (None, 112, 112,  โ”‚        128 โ”‚ Conv1[0][0]       โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv1_relu (ReLU)   โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ bn_Conv1[0][0]    โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚        288 โ”‚ Conv1_relu[0][0]  โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚        128 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_deptโ€ฆ โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (None, 112, 112,  โ”‚        512 โ”‚ expanded_conv_deโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 16)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ expanded_conv_projโ€ฆ โ”‚ (None, 112, 112,  โ”‚         64 โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 16)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand      โ”‚ (None, 112, 112,  โ”‚      1,536 โ”‚ expanded_conv_prโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_BN   โ”‚ (None, 112, 112,  โ”‚        384 โ”‚ block_1_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_expand_relu โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ block_1_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_pad         โ”‚ (None, 113, 113,  โ”‚          0 โ”‚ block_1_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise   โ”‚ (None, 56, 56,    โ”‚        864 โ”‚ block_1_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚        384 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project     โ”‚ (None, 56, 56,    โ”‚      2,304 โ”‚ block_1_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_1_project_BN  โ”‚ (None, 56, 56,    โ”‚         96 โ”‚ block_1_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand      โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_BN   โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_2_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_expand_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_2_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise   โ”‚ (None, 56, 56,    โ”‚      1,296 โ”‚ block_2_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_depthwise_โ€ฆ โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project     โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_2_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_project_BN  โ”‚ (None, 56, 56,    โ”‚         96 โ”‚ block_2_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 24)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_2_add (Add)   โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_1_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 24)               โ”‚            โ”‚ block_2_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand      โ”‚ (None, 56, 56,    โ”‚      3,456 โ”‚ block_2_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_BN   โ”‚ (None, 56, 56,    โ”‚        576 โ”‚ block_3_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_expand_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ block_3_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_pad         โ”‚ (None, 57, 57,    โ”‚          0 โ”‚ block_3_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,296 โ”‚ block_3_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        576 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 144)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project     โ”‚ (None, 28, 28,    โ”‚      4,608 โ”‚ block_3_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_3_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_3_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_4_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,728 โ”‚ block_4_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project     โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_4_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_4_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_4_add (Add)   โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_3_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚ block_4_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_4_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_5_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_5_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise   โ”‚ (None, 28, 28,    โ”‚      1,728 โ”‚ block_5_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_depthwise_โ€ฆ โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project     โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_5_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_project_BN  โ”‚ (None, 28, 28,    โ”‚        128 โ”‚ block_5_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_5_add (Add)   โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_4_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚ block_5_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand      โ”‚ (None, 28, 28,    โ”‚      6,144 โ”‚ block_5_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_BN   โ”‚ (None, 28, 28,    โ”‚        768 โ”‚ block_6_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_expand_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ block_6_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_pad         โ”‚ (None, 29, 29,    โ”‚          0 โ”‚ block_6_expand_rโ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise   โ”‚ (None, 14, 14,    โ”‚      1,728 โ”‚ block_6_pad[0][0] โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚        768 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project     โ”‚ (None, 14, 14,    โ”‚     12,288 โ”‚ block_6_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_6_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_6_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_7_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_7_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_7_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_7_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_7_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_6_project_โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_7_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_7_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_8_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_8_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_8_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_8_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_8_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_7_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_8_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand      โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_8_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_BN   โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_9_expand[0โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_expand_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_9_expand_Bโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise   โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_9_expand_rโ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_depthwise_โ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_9_depthwisโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_project_BN  โ”‚ (None, 14, 14,    โ”‚        256 โ”‚ block_9_project[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_9_add (Add)   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_8_add[0][0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚ block_9_project_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand     โ”‚ (None, 14, 14,    โ”‚     24,576 โ”‚ block_9_add[0][0] โ”‚\nโ”‚ (Conv2D)            โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_BN  โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_10_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwise  โ”‚ (None, 14, 14,    โ”‚      3,456 โ”‚ block_10_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      1,536 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project    โ”‚ (None, 14, 14,    โ”‚     36,864 โ”‚ block_10_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_10_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_11_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwise  โ”‚ (None, 14, 14,    โ”‚      5,184 โ”‚ block_11_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project    โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_11_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_11_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_11_add (Add)  โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_10_projectโ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚ block_11_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_11_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_12_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwise  โ”‚ (None, 14, 14,    โ”‚      5,184 โ”‚ block_12_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_depthwiseโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project    โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_12_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_project_BN โ”‚ (None, 14, 14,    โ”‚        384 โ”‚ block_12_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_12_add (Add)  โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_11_add[0][โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚ block_12_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand     โ”‚ (None, 14, 14,    โ”‚     55,296 โ”‚ block_12_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_BN  โ”‚ (None, 14, 14,    โ”‚      2,304 โ”‚ block_13_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_expand_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_pad        โ”‚ (None, 15, 15,    โ”‚          0 โ”‚ block_13_expand_โ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 576)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwise  โ”‚ (None, 7, 7, 576) โ”‚      5,184 โ”‚ block_13_pad[0][โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (None, 7, 7, 576) โ”‚      2,304 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_depthwiseโ€ฆ โ”‚ (None, 7, 7, 576) โ”‚          0 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project    โ”‚ (None, 7, 7, 160) โ”‚     92,160 โ”‚ block_13_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_13_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_14_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_14_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project    โ”‚ (None, 7, 7, 160) โ”‚    153,600 โ”‚ block_14_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_14_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_14_add (Add)  โ”‚ (None, 7, 7, 160) โ”‚          0 โ”‚ block_13_projectโ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ block_14_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_14_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_15_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_15_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project    โ”‚ (None, 7, 7, 160) โ”‚    153,600 โ”‚ block_15_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_project_BN โ”‚ (None, 7, 7, 160) โ”‚        640 โ”‚ block_15_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_15_add (Add)  โ”‚ (None, 7, 7, 160) โ”‚          0 โ”‚ block_14_add[0][โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ block_15_projectโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand     โ”‚ (None, 7, 7, 960) โ”‚    153,600 โ”‚ block_15_add[0][โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_BN  โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_16_expand[โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_expand_reโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwise  โ”‚ (None, 7, 7, 960) โ”‚      8,640 โ”‚ block_16_expand_โ€ฆ โ”‚\nโ”‚ (DepthwiseConv2D)   โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚      3,840 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_depthwiseโ€ฆ โ”‚ (None, 7, 7, 960) โ”‚          0 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (ReLU)              โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project    โ”‚ (None, 7, 7, 320) โ”‚    307,200 โ”‚ block_16_depthwiโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ block_16_project_BN โ”‚ (None, 7, 7, 320) โ”‚      1,280 โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1 (Conv2D)     โ”‚ (None, 7, 7,      โ”‚    409,600 โ”‚ block_16_projectโ€ฆ โ”‚\nโ”‚                     โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Conv_1_bn           โ”‚ (None, 7, 7,      โ”‚      5,120 โ”‚ Conv_1[0][0]      โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ out_relu (ReLU)     โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ Conv_1_bn[0][0]   โ”‚\nโ”‚                     โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 1280)      โ”‚          0 โ”‚ out_relu[0][0]    โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_21          โ”‚ (None, 1280)      โ”‚          0 โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (Dropout)           โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_37 (Dense)    โ”‚ (None, 1024)      โ”‚  1,311,744 โ”‚ dropout_21[0][0]  โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_38 (Dense)    โ”‚ (None, 512)       โ”‚    524,800 โ”‚ dense_37[0][0]    โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_39 (Dense)    โ”‚ (None, 5)         โ”‚      2,565 โ”‚ dense_38[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m4,097,093\u001b[0m (15.63 MB)\n","text/html":"
 Total params: 4,097,093 (15.63 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,839,109\u001b[0m (7.02 MB)\n","text/html":"
 Trainable params: 1,839,109 (7.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,257,984\u001b[0m (8.61 MB)\n","text/html":"
 Non-trainable params: 2,257,984 (8.61 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"epochs = 40\n\nhistory = modelV2.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)","metadata":{"execution":{"iopub.status.busy":"2024-06-24T06:54:59.400852Z","iopub.execute_input":"2024-06-24T06:54:59.401422Z","iopub.status.idle":"2024-06-24T07:09:55.268520Z","shell.execute_reply.started":"2024-06-24T06:54:59.401388Z","shell.execute_reply":"2024-06-24T07:09:55.267766Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m 1/48\u001b[0m \u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m13:43\u001b[0m 18s/step - accuracy: 0.1562 - loss: 2.0710","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212117.938617 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 541ms/step - accuracy: 0.3161 - loss: 1.6175","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212146.880511 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.69721, saving model to mobilenet_model.keras\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719212155.603070 142 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m57s\u001b[0m 831ms/step - accuracy: 0.3200 - loss: 1.6095 - val_accuracy: 0.6972 - val_loss: 0.9503 - learning_rate: 1.0000e-04\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.5971 - loss: 1.0513\nEpoch 2: val_accuracy did not improve from 0.69721\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.5971 - loss: 1.0508 - val_accuracy: 0.6853 - val_loss: 0.8290 - learning_rate: 1.0000e-04\nEpoch 3/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 444ms/step - accuracy: 0.6294 - loss: 0.9272\nEpoch 3: val_accuracy improved from 0.69721 to 0.73307, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 521ms/step - accuracy: 0.6303 - loss: 0.9253 - val_accuracy: 0.7331 - val_loss: 0.7159 - learning_rate: 1.0000e-04\nEpoch 4/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.6929 - loss: 0.8332\nEpoch 4: val_accuracy improved from 0.73307 to 0.74701, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.6928 - loss: 0.8325 - val_accuracy: 0.7470 - val_loss: 0.6468 - learning_rate: 1.0000e-04\nEpoch 5/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.6886 - loss: 0.7870\nEpoch 5: val_accuracy improved from 0.74701 to 0.77689, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 519ms/step - accuracy: 0.6884 - loss: 0.7873 - val_accuracy: 0.7769 - val_loss: 0.5862 - learning_rate: 1.0000e-04\nEpoch 6/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7364 - loss: 0.7034\nEpoch 6: val_accuracy improved from 0.77689 to 0.79681, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7357 - loss: 0.7047 - val_accuracy: 0.7968 - val_loss: 0.5454 - learning_rate: 1.0000e-04\nEpoch 7/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7302 - loss: 0.7255\nEpoch 7: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7294 - loss: 0.7265 - val_accuracy: 0.7689 - val_loss: 0.5589 - learning_rate: 1.0000e-04\nEpoch 8/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7188 - loss: 0.7186\nEpoch 8: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7189 - loss: 0.7187 - val_accuracy: 0.7550 - val_loss: 0.6256 - learning_rate: 1.0000e-04\nEpoch 9/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7517 - loss: 0.6591\nEpoch 9: val_accuracy did not improve from 0.79681\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7513 - loss: 0.6605 - val_accuracy: 0.7809 - val_loss: 0.5619 - learning_rate: 1.0000e-04\nEpoch 10/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7231 - loss: 0.7114\nEpoch 10: val_accuracy improved from 0.79681 to 0.81076, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7237 - loss: 0.7106 - val_accuracy: 0.8108 - val_loss: 0.5098 - learning_rate: 1.0000e-04\nEpoch 11/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7329 - loss: 0.6797\nEpoch 11: val_accuracy did not improve from 0.81076\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7337 - loss: 0.6786 - val_accuracy: 0.8008 - val_loss: 0.5113 - learning_rate: 1.0000e-04\nEpoch 12/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 446ms/step - accuracy: 0.7517 - loss: 0.6430\nEpoch 12: val_accuracy improved from 0.81076 to 0.81474, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 522ms/step - accuracy: 0.7516 - loss: 0.6436 - val_accuracy: 0.8147 - val_loss: 0.5078 - learning_rate: 1.0000e-04\nEpoch 13/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7717 - loss: 0.6254\nEpoch 13: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7713 - loss: 0.6261 - val_accuracy: 0.7809 - val_loss: 0.5567 - learning_rate: 1.0000e-04\nEpoch 14/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.7544 - loss: 0.6390\nEpoch 14: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7545 - loss: 0.6388 - val_accuracy: 0.8068 - val_loss: 0.4936 - learning_rate: 1.0000e-04\nEpoch 15/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7544 - loss: 0.6678\nEpoch 15: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7550 - loss: 0.6668 - val_accuracy: 0.8108 - val_loss: 0.4993 - learning_rate: 1.0000e-04\nEpoch 16/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 444ms/step - accuracy: 0.7616 - loss: 0.6328\nEpoch 16: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.7614 - loss: 0.6333 - val_accuracy: 0.7908 - val_loss: 0.5360 - learning_rate: 1.0000e-04\nEpoch 17/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 446ms/step - accuracy: 0.7521 - loss: 0.6502\nEpoch 17: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 512ms/step - accuracy: 0.7527 - loss: 0.6493 - val_accuracy: 0.7928 - val_loss: 0.5571 - learning_rate: 1.0000e-04\nEpoch 18/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7576 - loss: 0.6270\nEpoch 18: val_accuracy did not improve from 0.81474\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7583 - loss: 0.6258 - val_accuracy: 0.8088 - val_loss: 0.5107 - learning_rate: 1.0000e-04\nEpoch 19/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 440ms/step - accuracy: 0.7745 - loss: 0.5864\nEpoch 19: val_accuracy improved from 0.81474 to 0.82271, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 515ms/step - accuracy: 0.7750 - loss: 0.5851 - val_accuracy: 0.8227 - val_loss: 0.4646 - learning_rate: 1.0000e-04\nEpoch 20/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7726 - loss: 0.5927\nEpoch 20: val_accuracy did not improve from 0.82271\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7727 - loss: 0.5922 - val_accuracy: 0.8108 - val_loss: 0.4849 - learning_rate: 1.0000e-04\nEpoch 21/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7809 - loss: 0.5966\nEpoch 21: val_accuracy improved from 0.82271 to 0.82470, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.7807 - loss: 0.5960 - val_accuracy: 0.8247 - val_loss: 0.4594 - learning_rate: 1.0000e-04\nEpoch 22/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7976 - loss: 0.5525\nEpoch 22: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7975 - loss: 0.5530 - val_accuracy: 0.7988 - val_loss: 0.5280 - learning_rate: 1.0000e-04\nEpoch 23/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7926 - loss: 0.5512\nEpoch 23: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7925 - loss: 0.5517 - val_accuracy: 0.8227 - val_loss: 0.4780 - learning_rate: 1.0000e-04\nEpoch 24/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7868 - loss: 0.5489\nEpoch 24: val_accuracy did not improve from 0.82470\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 502ms/step - accuracy: 0.7862 - loss: 0.5505 - val_accuracy: 0.8088 - val_loss: 0.5109 - learning_rate: 1.0000e-04\nEpoch 25/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7447 - loss: 0.6121\nEpoch 25: val_accuracy improved from 0.82470 to 0.83267, saving model to mobilenet_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7454 - loss: 0.6116 - val_accuracy: 0.8327 - val_loss: 0.4720 - learning_rate: 1.0000e-04\nEpoch 26/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7654 - loss: 0.5678\nEpoch 26: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-06.\n\nEpoch 26: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 503ms/step - accuracy: 0.7661 - loss: 0.5679 - val_accuracy: 0.8247 - val_loss: 0.4836 - learning_rate: 1.0000e-04\nEpoch 27/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7764 - loss: 0.5758\nEpoch 27: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 500ms/step - accuracy: 0.7765 - loss: 0.5755 - val_accuracy: 0.8267 - val_loss: 0.4616 - learning_rate: 1.0000e-05\nEpoch 28/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7962 - loss: 0.5479\nEpoch 28: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 501ms/step - accuracy: 0.7965 - loss: 0.5475 - val_accuracy: 0.8207 - val_loss: 0.4689 - learning_rate: 1.0000e-05\nEpoch 29/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 445ms/step - accuracy: 0.8036 - loss: 0.5376\nEpoch 29: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.8036 - loss: 0.5366 - val_accuracy: 0.8247 - val_loss: 0.4607 - learning_rate: 1.0000e-05\nEpoch 30/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7759 - loss: 0.5691\nEpoch 30: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 504ms/step - accuracy: 0.7763 - loss: 0.5686 - val_accuracy: 0.8207 - val_loss: 0.4681 - learning_rate: 1.0000e-05\nEpoch 31/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7993 - loss: 0.5229\nEpoch 31: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n\nEpoch 31: val_accuracy did not improve from 0.83267\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 505ms/step - accuracy: 0.7994 - loss: 0.5229 - val_accuracy: 0.8267 - val_loss: 0.4610 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = modelV2.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:10:25.410804Z","iopub.execute_input":"2024-06-24T07:10:25.411488Z","iopub.status.idle":"2024-06-24T07:10:29.447781Z","shell.execute_reply.started":"2024-06-24T07:10:25.411457Z","shell.execute_reply":"2024-06-24T07:10:29.446954Z"},"trusted":true},"execution_count":49,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 222ms/step - accuracy: 0.8321 - loss: 0.4484\nTest loss: 0.495183527469635\nTest accuracy: 0.8129921555519104\n","output_type":"stream"}]},{"cell_type":"markdown","source":"ResNet152","metadata":{}},{"cell_type":"code","source":"from keras.applications import ResNet152\nfrom keras.layers import Dense, GlobalAveragePooling2D, Dropout\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\nfrom keras.optimizers import Adam\n\nresnet152_model = ResNet152(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nx = resnet152_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dropout(0.5)(x) \nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x) \nmodel152 = Model(inputs=resnet152_model.input, outputs=output)\n\nfor layer in resnet152_model.layers:\n layer.trainable = False\n\nmodel152.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n\n\nmodel_checkpoint = ModelCheckpoint('resnet152_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\nmodel152.summary()\n\n","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2024-06-24T07:43:16.445332Z","iopub.execute_input":"2024-06-24T07:43:16.445690Z","iopub.status.idle":"2024-06-24T07:43:20.298966Z","shell.execute_reply.started":"2024-06-24T07:43:16.445664Z","shell.execute_reply":"2024-06-24T07:43:20.298111Z"},"trusted":true},"execution_count":64,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_45\"\u001b[0m\n","text/html":"
Model: \"functional_45\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_18 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m230\u001b[0m, \u001b[38;5;34m230\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ input_layer_18[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_conv (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m9,472\u001b[0m โ”‚ conv1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv1_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pad โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mZeroPadding2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pool โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ pool1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m4,160\u001b[0m โ”‚ pool1_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ pool1_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,448\u001b[0m โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,448\u001b[0m โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m36,928\u001b[0m โ”‚ conv2_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m256\u001b[0m โ”‚ conv2_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m16,640\u001b[0m โ”‚ conv2_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv2_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ conv2_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv2_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m32,896\u001b[0m โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m131,584\u001b[0m โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block4_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block4_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block4_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block4_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block4_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block5_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block5_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block5_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block5_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block5_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block6_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block6_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block6_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block6_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block6_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block7_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block7_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block7_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block7_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block7_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m65,664\u001b[0m โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block8_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m147,584\u001b[0m โ”‚ conv3_block8_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m512\u001b[0m โ”‚ conv3_block8_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m66,048\u001b[0m โ”‚ conv3_block8_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv3_block8_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ conv3_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv3_block8_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m512\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m131,328\u001b[0m โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m525,312\u001b[0m โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block4_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block4_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block4_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block4_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block4_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block5_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block5_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block5_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block5_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block5_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block6_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block6_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block6_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block6_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block6_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block7_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block7_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block7_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block7_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block7_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block8_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block8_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block8_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block8_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block8_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block9_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block9_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block9_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block9_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block9_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block9_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m262,400\u001b[0m โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m590,080\u001b[0m โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m1,024\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_reโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_coโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m263,168\u001b[0m โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m4,096\u001b[0m โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv4_block36_adโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m1024\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m524,800\u001b[0m โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block1_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block1_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block1_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m2,099,200\u001b[0m โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block1_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block1_0_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block1_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_0_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,049,088\u001b[0m โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block2_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block2_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block2_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block2_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block2_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m1,049,088\u001b[0m โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block3_1_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_1_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,359,808\u001b[0m โ”‚ conv5_block3_1_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m2,048\u001b[0m โ”‚ conv5_block3_2_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_relu โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_2_bโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_conv โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m1,050,624\u001b[0m โ”‚ conv5_block3_2_rโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_bn โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m8,192\u001b[0m โ”‚ conv5_block3_3_cโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_add โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAdd\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ conv5_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_out โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_addโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ conv5_block3_outโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_22 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mDropout\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_44 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m2,098,176\u001b[0m โ”‚ dropout_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_45 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚ dense_44[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_18      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_pad           โ”‚ (None, 230, 230,  โ”‚          0 โ”‚ input_layer_18[0โ€ฆ โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_conv (Conv2D) โ”‚ (None, 112, 112,  โ”‚      9,472 โ”‚ conv1_pad[0][0]   โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_bn            โ”‚ (None, 112, 112,  โ”‚        256 โ”‚ conv1_conv[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv1_relu          โ”‚ (None, 112, 112,  โ”‚          0 โ”‚ conv1_bn[0][0]    โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pad           โ”‚ (None, 114, 114,  โ”‚          0 โ”‚ conv1_relu[0][0]  โ”‚\nโ”‚ (ZeroPadding2D)     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ pool1_pool          โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ pool1_pad[0][0]   โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_conv โ”‚ (None, 56, 56,    โ”‚      4,160 โ”‚ pool1_pool[0][0]  โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ pool1_pool[0][0]  โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_0_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block1_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_conv โ”‚ (None, 56, 56,    โ”‚     16,448 โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block2_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_conv โ”‚ (None, 56, 56,    โ”‚     16,448 โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_1_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_conv โ”‚ (None, 56, 56,    โ”‚     36,928 โ”‚ conv2_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_bn   โ”‚ (None, 56, 56,    โ”‚        256 โ”‚ conv2_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_2_relu โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_conv โ”‚ (None, 56, 56,    โ”‚     16,640 โ”‚ conv2_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_3_bn   โ”‚ (None, 56, 56,    โ”‚      1,024 โ”‚ conv2_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_add    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 256)              โ”‚            โ”‚ conv2_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2_block3_out    โ”‚ (None, 56, 56,    โ”‚          0 โ”‚ conv2_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_conv โ”‚ (None, 28, 28,    โ”‚     32,896 โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_conv โ”‚ (None, 28, 28,    โ”‚    131,584 โ”‚ conv2_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_0_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block1_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block2_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block3_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block4_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block4_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block4_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block4_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block4_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block3_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block4_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block5_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block5_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block5_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block5_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block5_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block4_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block5_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block6_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block6_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block6_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block6_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block6_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block5_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block6_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block7_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block7_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block7_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block7_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block7_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block6_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block7_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_conv โ”‚ (None, 28, 28,    โ”‚     65,664 โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block8_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_1_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_conv โ”‚ (None, 28, 28,    โ”‚    147,584 โ”‚ conv3_block8_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_bn   โ”‚ (None, 28, 28,    โ”‚        512 โ”‚ conv3_block8_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_2_relu โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_conv โ”‚ (None, 28, 28,    โ”‚     66,048 โ”‚ conv3_block8_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_3_bn   โ”‚ (None, 28, 28,    โ”‚      2,048 โ”‚ conv3_block8_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_add    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block7_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 512)              โ”‚            โ”‚ conv3_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv3_block8_out    โ”‚ (None, 28, 28,    โ”‚          0 โ”‚ conv3_block8_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 512)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_conv โ”‚ (None, 14, 14,    โ”‚    131,328 โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_conv โ”‚ (None, 14, 14,    โ”‚    525,312 โ”‚ conv3_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_0_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block1_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block2_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block3_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block4_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block4_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block4_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block4_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block4_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block3_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block4_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block4_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block5_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block5_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block5_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block5_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block5_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block4_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block5_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block5_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block6_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block6_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block6_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block6_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block6_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block5_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block6_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block6_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block7_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block7_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block7_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block7_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block7_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block6_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block7_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block7_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block8_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block8_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block8_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block8_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block8_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block7_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block8_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block8_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_conv โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block9_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_1_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_conv โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block9_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_bn   โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block9_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_2_relu โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_conv โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block9_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_3_bn   โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block9_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_add    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block8_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block9_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block9_out    โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block10_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block10_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block9_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block10_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block10_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block11_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block11_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block10_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block11_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block11_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block12_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block12_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block11_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block12_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block12_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block13_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block13_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block12_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block13_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block13_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block14_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block14_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block13_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block14_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block14_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block15_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block15_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block14_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block15_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block15_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block16_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block16_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block15_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block16_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block16_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block17_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block17_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block16_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block17_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block17_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block18_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block18_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block17_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block18_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block18_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block19_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block19_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block18_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block19_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block19_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block20_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block20_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block19_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block20_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block20_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block21_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block21_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block20_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block21_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block21_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block22_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block22_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block21_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block22_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block22_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block23_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block23_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block22_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block23_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block23_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block24_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block24_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block23_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block24_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block24_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block25_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block25_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block24_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block25_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block25_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block26_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block26_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block25_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block26_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block26_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block27_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block27_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block26_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block27_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block27_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block28_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block28_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block27_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block28_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block28_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block29_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block29_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block28_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block29_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block29_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block30_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block30_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block29_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block30_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block30_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block31_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block31_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block30_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block31_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block31_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block32_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block32_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block31_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block32_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block32_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block33_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block33_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block32_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block33_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block33_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block34_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block34_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block33_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block34_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block34_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block35_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block35_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block34_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block35_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block35_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    262,400 โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_1_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    590,080 โ”‚ conv4_block36_1_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_bn  โ”‚ (None, 14, 14,    โ”‚      1,024 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_2_reโ€ฆ โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_coโ€ฆ โ”‚ (None, 14, 14,    โ”‚    263,168 โ”‚ conv4_block36_2_โ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_3_bn  โ”‚ (None, 14, 14,    โ”‚      4,096 โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_add   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block35_ouโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 1024)             โ”‚            โ”‚ conv4_block36_3_โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv4_block36_out   โ”‚ (None, 14, 14,    โ”‚          0 โ”‚ conv4_block36_adโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 1024)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_conv โ”‚ (None, 7, 7, 512) โ”‚    524,800 โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block1_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block1_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block1_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block1_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block1_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_conv โ”‚ (None, 7, 7,      โ”‚  2,099,200 โ”‚ conv4_block36_ouโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block1_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_0_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block1_0_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block1_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_0_bโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block1_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block1_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_conv โ”‚ (None, 7, 7, 512) โ”‚  1,049,088 โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block2_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block2_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block2_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block2_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block2_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block2_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block2_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block1_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block2_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block2_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block2_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_conv โ”‚ (None, 7, 7, 512) โ”‚  1,049,088 โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block3_1_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_1_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block3_1_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_conv โ”‚ (None, 7, 7, 512) โ”‚  2,359,808 โ”‚ conv5_block3_1_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_bn   โ”‚ (None, 7, 7, 512) โ”‚      2,048 โ”‚ conv5_block3_2_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_2_relu โ”‚ (None, 7, 7, 512) โ”‚          0 โ”‚ conv5_block3_2_bโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_conv โ”‚ (None, 7, 7,      โ”‚  1,050,624 โ”‚ conv5_block3_2_rโ€ฆ โ”‚\nโ”‚ (Conv2D)            โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_3_bn   โ”‚ (None, 7, 7,      โ”‚      8,192 โ”‚ conv5_block3_3_cโ€ฆ โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_add    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block2_outโ€ฆ โ”‚\nโ”‚ (Add)               โ”‚ 2048)             โ”‚            โ”‚ conv5_block3_3_bโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv5_block3_out    โ”‚ (None, 7, 7,      โ”‚          0 โ”‚ conv5_block3_addโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 2048)      โ”‚          0 โ”‚ conv5_block3_outโ€ฆ โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dropout_22          โ”‚ (None, 2048)      โ”‚          0 โ”‚ global_average_pโ€ฆ โ”‚\nโ”‚ (Dropout)           โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_44 (Dense)    โ”‚ (None, 1024)      โ”‚  2,098,176 โ”‚ dropout_22[0][0]  โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_45 (Dense)    โ”‚ (None, 5)         โ”‚      5,125 โ”‚ dense_44[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m60,474,245\u001b[0m (230.69 MB)\n","text/html":"
 Total params: 60,474,245 (230.69 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m58,370,944\u001b[0m (222.67 MB)\n","text/html":"
 Non-trainable params: 58,370,944 (222.67 MB)\n
\n"},"metadata":{}}]},{"cell_type":"markdown","source":"InceptionV3","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.applications import InceptionV3\nfrom tensorflow.keras.layers import Dense, GlobalAveragePooling2D\nfrom tensorflow.keras.models import Model\nfrom tensorflow.keras.optimizers import Adam\nfrom tensorflow.keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, EarlyStopping\n\ninceptionv3_model = InceptionV3(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\nx = inceptionv3_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\npredictions = Dense(5, activation='softmax')(x) \n\nmodelv3 = Model(inputs=inceptionv3_model.input, outputs=predictions)\n\nfor layer in inceptionv3_model.layers:\n layer.trainable = False\n\nmodelv3.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n\nmodelv3.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:50:16.097608Z","iopub.execute_input":"2024-06-24T07:50:16.098412Z","iopub.status.idle":"2024-06-24T07:50:18.305129Z","shell.execute_reply.started":"2024-06-24T07:50:16.098382Z","shell.execute_reply":"2024-06-24T07:50:18.304274Z"},"scrolled":true,"trusted":true},"execution_count":71,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_55\"\u001b[0m\n","text/html":"
Model: \"functional_55\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0mโ”ƒ\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0mโ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_24 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ - โ”‚\nโ”‚ (\u001b[38;5;33mInputLayer\u001b[0m) โ”‚ \u001b[38;5;34m3\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_470 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m864\u001b[0m โ”‚ input_layer_24[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_470[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_470 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_471 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m9,216\u001b[0m โ”‚ activation_470[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_471[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_471 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_472 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ activation_471[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_472[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_472 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_20 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_472[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_473 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m5,120\u001b[0m โ”‚ max_pooling2d_20โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m240\u001b[0m โ”‚ conv2d_473[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_473 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m80\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_474 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m138,240\u001b[0m โ”‚ activation_473[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_474[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_474 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_21 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_474[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_478 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_478[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_478 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_476 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m9,216\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_479 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_478[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_476[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_479[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_476 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_479 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_475 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_477 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_476[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_480 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_479[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_481 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m6,144\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_475[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_477[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_480[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m96\u001b[0m โ”‚ conv2d_481[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_475 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_477 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_480 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_481 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m32\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed0 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_475[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ activation_477[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_480[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_481[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_485 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_485[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_485 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_483 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m12,288\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_486 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_485[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_483[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_486[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_483 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_486 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m256\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_482 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_484 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_483[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_487 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_486[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_488 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m16,384\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_482[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_484[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_487[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_488[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_482 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_484 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_487 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_488 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_482[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ activation_484[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_487[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_488[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_492 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_492[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_492 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_490 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m13,824\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_493 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_492[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m144\u001b[0m โ”‚ conv2d_490[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_493[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_490 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m48\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_493 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_489 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_491 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m76,800\u001b[0m โ”‚ activation_490[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_494 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_493[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_495 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_489[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_491[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_494[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_495[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_489 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_491 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_494 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_495 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed2 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_489[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ activation_491[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_494[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_495[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_497 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m18,432\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m192\u001b[0m โ”‚ conv2d_497[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_497 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m64\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_498 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m55,296\u001b[0m โ”‚ activation_497[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_498[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_498 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_496 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m995,328\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_499 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m82,944\u001b[0m โ”‚ activation_498[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_496[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m288\u001b[0m โ”‚ conv2d_499[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_496 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m384\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_499 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m96\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_22 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ \u001b[38;5;34m288\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed3 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_496[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_499[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ max_pooling2d_22โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_504 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m98,304\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_504[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_504 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_505 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_504[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_505[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_505 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_501 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m98,304\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_506 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_505[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_501[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_506[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_501 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_506 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_502 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_501[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_507 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m114,688\u001b[0m โ”‚ activation_506[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_502[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m384\u001b[0m โ”‚ conv2d_507[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_502 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_507 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m128\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_500 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_503 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m172,032\u001b[0m โ”‚ activation_502[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_508 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m172,032\u001b[0m โ”‚ activation_507[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_509 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_500[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_503[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_508[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_509[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_500 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_503 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_508 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_509 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed4 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_500[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_503[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_508[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_509[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_514 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_514[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_514 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_515 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_514[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_515[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_515 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_511 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_516 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_515[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_511[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_516[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_511 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_516 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_512 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_511[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_517 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_516[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_512[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_517[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_512 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_517 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_510 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_513 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_512[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_518 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_517[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_519 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_510[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_513[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_518[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_519[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_510 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_513 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_518 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_519 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed5 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_510[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_513[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_518[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_519[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_524 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_524[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_524 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_525 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_524[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_525[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_525 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_521 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m122,880\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_526 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_525[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_521[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_526[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_521 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_526 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_522 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_521[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_527 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m179,200\u001b[0m โ”‚ activation_526[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_522[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m480\u001b[0m โ”‚ conv2d_527[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_522 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_527 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m160\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_520 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_523 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_522[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_528 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m215,040\u001b[0m โ”‚ activation_527[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_529 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_520[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_523[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_528[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_529[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_520 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_523 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_528 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_529 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed6 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_520[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_523[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_528[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_529[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_534 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_534[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_534 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_535 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_534[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_535[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_535 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_531 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_536 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_535[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_531[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_536[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_531 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_536 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_532 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_531[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_537 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_536[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_532[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_537[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_532 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_537 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_530 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_533 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_532[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_538 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_537[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_539 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_530[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_533[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_538[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_539[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_530 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_533 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_538 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_539 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed7 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_530[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m768\u001b[0m) โ”‚ โ”‚ activation_533[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_538[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_539[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_542 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_542[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_542 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_543 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_542[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_543[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_543 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_540 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m147,456\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_544 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m258,048\u001b[0m โ”‚ activation_543[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_540[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_544[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_540 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_544 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ \u001b[38;5;34m192\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_541 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m552,960\u001b[0m โ”‚ activation_540[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_545 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m331,776\u001b[0m โ”‚ activation_544[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_541[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_545[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_541 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_545 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_23 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mMaxPooling2D\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed8 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_541[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ activation_545[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ max_pooling2d_23โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_550 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m573,440\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m1,344\u001b[0m โ”‚ conv2d_550[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_550 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_547 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m491,520\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_551 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,548,288\u001b[0m โ”‚ activation_550[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_547[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_551[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_547 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_551 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_548 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_547[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_549 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_547[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_552 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_551[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_553 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_551[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m1280\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_546 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m409,600\u001b[0m โ”‚ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_548[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_549[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_552[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_553[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_554 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m245,760\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_546[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_548 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_549 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_552 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_553 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_554[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_546 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_0 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_548[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_549[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_10 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_552[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_553[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_554 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_546[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ mixed9_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ concatenate_10[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_554[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_559 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m917,504\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m1,344\u001b[0m โ”‚ conv2d_559[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_559 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_556 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m786,432\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_560 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,548,288\u001b[0m โ”‚ activation_559[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_556[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_560[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_556 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_560 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_557 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_556[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_558 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_556[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_561 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_560[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_562 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m442,368\u001b[0m โ”‚ activation_560[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mAveragePooling2D\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_555 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m655,360\u001b[0m โ”‚ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_557[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_558[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_561[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m1,152\u001b[0m โ”‚ conv2d_562[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_563 (\u001b[38;5;33mConv2D\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m393,216\u001b[0m โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m960\u001b[0m โ”‚ conv2d_555[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_557 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_558 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_561 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_562 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m576\u001b[0m โ”‚ conv2d_563[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mBatchNormalizatioโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_555 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_1 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_557[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_558[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_11 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_561[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ โ”‚ โ”‚ activation_562[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_563 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mActivation\u001b[0m) โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed10 โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ activation_555[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ (\u001b[38;5;33mConcatenate\u001b[0m) โ”‚ \u001b[38;5;34m2048\u001b[0m) โ”‚ โ”‚ mixed9_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ concatenate_11[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ activation_563[\u001b[38;5;34m0\u001b[0mโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) โ”‚ \u001b[38;5;34m0\u001b[0m โ”‚ mixed10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ”‚ (\u001b[38;5;33mGlobalAveragePoolโ€ฆ\u001b[0m โ”‚ โ”‚ โ”‚ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_55 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) โ”‚ \u001b[38;5;34m2,098,176\u001b[0m โ”‚ global_average_pโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_56 (\u001b[38;5;33mDense\u001b[0m) โ”‚ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) โ”‚ \u001b[38;5;34m5,125\u001b[0m โ”‚ dense_55[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n","text/html":"
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“\nโ”ƒ Layer (type)        โ”ƒ Output Shape      โ”ƒ    Param # โ”ƒ Connected to      โ”ƒ\nโ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ\nโ”‚ input_layer_24      โ”‚ (None, 224, 224,  โ”‚          0 โ”‚ -                 โ”‚\nโ”‚ (InputLayer)        โ”‚ 3)                โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_470 (Conv2D) โ”‚ (None, 111, 111,  โ”‚        864 โ”‚ input_layer_24[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 111, 111,  โ”‚         96 โ”‚ conv2d_470[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_470      โ”‚ (None, 111, 111,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_471 (Conv2D) โ”‚ (None, 109, 109,  โ”‚      9,216 โ”‚ activation_470[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 109, 109,  โ”‚         96 โ”‚ conv2d_471[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_471      โ”‚ (None, 109, 109,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_472 (Conv2D) โ”‚ (None, 109, 109,  โ”‚     18,432 โ”‚ activation_471[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 109, 109,  โ”‚        192 โ”‚ conv2d_472[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_472      โ”‚ (None, 109, 109,  โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_20    โ”‚ (None, 54, 54,    โ”‚          0 โ”‚ activation_472[0โ€ฆ โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_473 (Conv2D) โ”‚ (None, 54, 54,    โ”‚      5,120 โ”‚ max_pooling2d_20โ€ฆ โ”‚\nโ”‚                     โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 54, 54,    โ”‚        240 โ”‚ conv2d_473[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_473      โ”‚ (None, 54, 54,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 80)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_474 (Conv2D) โ”‚ (None, 52, 52,    โ”‚    138,240 โ”‚ activation_473[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 52, 52,    โ”‚        576 โ”‚ conv2d_474[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_474      โ”‚ (None, 52, 52,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_21    โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_474[0โ€ฆ โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_478 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_478[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_478      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_476 (Conv2D) โ”‚ (None, 25, 25,    โ”‚      9,216 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_479 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_478[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_476[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_479[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_476      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_479      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_475 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ max_pooling2d_21โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_477 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_476[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_480 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_479[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_481 (Conv2D) โ”‚ (None, 25, 25,    โ”‚      6,144 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_475[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_477[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_480[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚         96 โ”‚ conv2d_481[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_475      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_477      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_480      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_481      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 32)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed0              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_475[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 256)              โ”‚            โ”‚ activation_477[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_480[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_481[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_485 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_485[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_485      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_483 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     12,288 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_486 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_485[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_483[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_486[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_483      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_486      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ mixed0[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 256)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_482 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ mixed0[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_484 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_483[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_487 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_486[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_488 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     16,384 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_482[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_484[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_487[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_488[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_482      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_484      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_487      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_488      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed1              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_482[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 288)              โ”‚            โ”‚ activation_484[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_487[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_488[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_492 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_492[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_492      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_490 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     13,824 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_493 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_492[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        144 โ”‚ conv2d_490[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_493[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_490      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 48)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_493      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ mixed1[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 288)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_489 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed1[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_491 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     76,800 โ”‚ activation_490[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_494 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     82,944 โ”‚ activation_493[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_495 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_489[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_491[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_494[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_495[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_489      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_491      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_494      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_495      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed2              โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ activation_489[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 288)              โ”‚            โ”‚ activation_491[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_494[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_495[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_497 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     18,432 โ”‚ mixed2[0][0]      โ”‚\nโ”‚                     โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        192 โ”‚ conv2d_497[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_497      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 64)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_498 (Conv2D) โ”‚ (None, 25, 25,    โ”‚     55,296 โ”‚ activation_497[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 25, 25,    โ”‚        288 โ”‚ conv2d_498[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_498      โ”‚ (None, 25, 25,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_496 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    995,328 โ”‚ mixed2[0][0]      โ”‚\nโ”‚                     โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_499 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     82,944 โ”‚ activation_498[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚      1,152 โ”‚ conv2d_496[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        288 โ”‚ conv2d_499[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_496      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 384)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_499      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 96)               โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_22    โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed2[0][0]      โ”‚\nโ”‚ (MaxPooling2D)      โ”‚ 288)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed3              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_496[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_499[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ max_pooling2d_22โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_504 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     98,304 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_504[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_504      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_505 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_504[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_505[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_505      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_501 (Conv2D) โ”‚ (None, 12, 12,    โ”‚     98,304 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_506 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_505[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_501[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_506[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_501      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_506      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_502 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_501[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_507 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    114,688 โ”‚ activation_506[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_502[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        384 โ”‚ conv2d_507[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_502      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_507      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 128)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed3[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_500 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed3[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_503 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    172,032 โ”‚ activation_502[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_508 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    172,032 โ”‚ activation_507[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_509 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_500[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_503[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_508[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_509[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_500      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_503      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_508      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_509      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed4              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_500[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_503[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_508[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_509[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_514 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_514[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_514      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_515 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_514[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_515[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_515      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_511 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_516 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_515[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_511[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_516[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_511      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_516      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_512 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_511[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_517 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_516[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_512[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_517[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_512      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_517      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed4[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_510 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed4[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_513 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_512[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_518 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_517[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_519 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_510[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_513[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_518[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_519[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_510      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_513      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_518      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_519      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed5              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_510[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_513[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_518[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_519[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_524 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_524[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_524      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_525 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_524[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_525[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_525      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_521 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    122,880 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_526 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_525[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_521[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_526[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_521      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_526      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_522 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_521[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_527 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    179,200 โ”‚ activation_526[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_522[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        480 โ”‚ conv2d_527[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_522      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_527      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 160)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed5[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_520 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed5[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_523 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_522[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_528 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    215,040 โ”‚ activation_527[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_529 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_520[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_523[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_528[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_529[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_520      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_523      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_528      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_529      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed6              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_520[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_523[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_528[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_529[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_534 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_534[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_534      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_535 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_534[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_535[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_535      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_531 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_536 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_535[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_531[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_536[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_531      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_536      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_532 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_531[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_537 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_536[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_532[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_537[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_532      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_537      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ mixed6[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 768)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_530 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed6[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_533 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_532[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_538 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_537[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_539 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_530[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_533[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_538[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_539[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_530      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_533      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_538      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_539      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed7              โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ activation_530[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 768)              โ”‚            โ”‚ activation_533[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_538[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_539[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_542 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed7[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_542[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_542      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_543 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_542[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_543[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_543      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_540 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    147,456 โ”‚ mixed7[0][0]      โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_544 (Conv2D) โ”‚ (None, 12, 12,    โ”‚    258,048 โ”‚ activation_543[0โ€ฆ โ”‚\nโ”‚                     โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_540[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 12, 12,    โ”‚        576 โ”‚ conv2d_544[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_540      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_544      โ”‚ (None, 12, 12,    โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚ 192)              โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_541 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    552,960 โ”‚ activation_540[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_545 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    331,776 โ”‚ activation_544[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_541[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_545[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_541      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_545      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ max_pooling2d_23    โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ mixed7[0][0]      โ”‚\nโ”‚ (MaxPooling2D)      โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed8              โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_541[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 1280)             โ”‚            โ”‚ activation_545[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ max_pooling2d_23โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_550 (Conv2D) โ”‚ (None, 5, 5, 448) โ”‚    573,440 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 448) โ”‚      1,344 โ”‚ conv2d_550[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_550      โ”‚ (None, 5, 5, 448) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_547 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    491,520 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_551 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚  1,548,288 โ”‚ activation_550[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_547[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_551[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_547      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_551      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_548 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_547[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_549 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_547[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_552 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_551[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_553 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_551[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ mixed8[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 1280)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_546 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    409,600 โ”‚ mixed8[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_548[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_549[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_552[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_553[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_554 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    245,760 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_546[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_548      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_549      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_552      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_553      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_554[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_546      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_0            โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_548[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_549[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_10      โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_552[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_553[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_554      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9              โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_546[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 2048)             โ”‚            โ”‚ mixed9_0[0][0],   โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ concatenate_10[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_554[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_559 (Conv2D) โ”‚ (None, 5, 5, 448) โ”‚    917,504 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 448) โ”‚      1,344 โ”‚ conv2d_559[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_559      โ”‚ (None, 5, 5, 448) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_556 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    786,432 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_560 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚  1,548,288 โ”‚ activation_559[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_556[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_560[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_556      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_560      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_557 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_556[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_558 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_556[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_561 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_560[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_562 (Conv2D) โ”‚ (None, 5, 5, 384) โ”‚    442,368 โ”‚ activation_560[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ average_pooling2d_โ€ฆ โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ mixed9[0][0]      โ”‚\nโ”‚ (AveragePooling2D)  โ”‚ 2048)             โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_555 (Conv2D) โ”‚ (None, 5, 5, 320) โ”‚    655,360 โ”‚ mixed9[0][0]      โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_557[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_558[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_561[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 384) โ”‚      1,152 โ”‚ conv2d_562[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ conv2d_563 (Conv2D) โ”‚ (None, 5, 5, 192) โ”‚    393,216 โ”‚ average_pooling2โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 320) โ”‚        960 โ”‚ conv2d_555[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_557      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_558      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_561      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_562      โ”‚ (None, 5, 5, 384) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ batch_normalizatioโ€ฆ โ”‚ (None, 5, 5, 192) โ”‚        576 โ”‚ conv2d_563[0][0]  โ”‚\nโ”‚ (BatchNormalizatioโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_555      โ”‚ (None, 5, 5, 320) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed9_1            โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_557[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_558[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ concatenate_11      โ”‚ (None, 5, 5, 768) โ”‚          0 โ”‚ activation_561[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚                   โ”‚            โ”‚ activation_562[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ activation_563      โ”‚ (None, 5, 5, 192) โ”‚          0 โ”‚ batch_normalizatโ€ฆ โ”‚\nโ”‚ (Activation)        โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ mixed10             โ”‚ (None, 5, 5,      โ”‚          0 โ”‚ activation_555[0โ€ฆ โ”‚\nโ”‚ (Concatenate)       โ”‚ 2048)             โ”‚            โ”‚ mixed9_1[0][0],   โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ concatenate_11[0โ€ฆ โ”‚\nโ”‚                     โ”‚                   โ”‚            โ”‚ activation_563[0โ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ global_average_pooโ€ฆ โ”‚ (None, 2048)      โ”‚          0 โ”‚ mixed10[0][0]     โ”‚\nโ”‚ (GlobalAveragePoolโ€ฆ โ”‚                   โ”‚            โ”‚                   โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_55 (Dense)    โ”‚ (None, 1024)      โ”‚  2,098,176 โ”‚ global_average_pโ€ฆ โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ dense_56 (Dense)    โ”‚ (None, 5)         โ”‚      5,125 โ”‚ dense_55[0][0]    โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m23,906,085\u001b[0m (91.19 MB)\n","text/html":"
 Total params: 23,906,085 (91.19 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m21,802,784\u001b[0m (83.17 MB)\n","text/html":"
 Non-trainable params: 21,802,784 (83.17 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"# Define callbacks\nmodel_checkpoint = ModelCheckpoint('inceptionv3_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-8, verbose=1)\nearly_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n\n# Train the model\nepochs = 40\nhistory = modelv3.fit(\n train_generator,\n epochs=epochs,\n validation_data=val_generator,\n callbacks=[reduce_lr, early_stopping, model_checkpoint]\n)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T07:50:42.614721Z","iopub.execute_input":"2024-06-24T07:50:42.615082Z","iopub.status.idle":"2024-06-24T08:10:42.011096Z","shell.execute_reply.started":"2024-06-24T07:50:42.615054Z","shell.execute_reply":"2024-06-24T08:10:42.010203Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"Epoch 1/40\n\u001b[1m 2/48\u001b[0m \u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m4s\u001b[0m 98ms/step - accuracy: 0.1953 - loss: 1.9122 ","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215469.675815 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m21/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m24s\u001b[0m 905ms/step - accuracy: 0.1894 - loss: 1.8224","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215487.651536 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 609ms/step - accuracy: 0.2042 - loss: 1.7496","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719215504.867885 142 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\nW0000 00:00:1719215519.871236 139 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.37052, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 1s/step - accuracy: 0.2050 - loss: 1.7476 - val_accuracy: 0.3705 - val_loss: 1.4769 - learning_rate: 1.0000e-05\nEpoch 2/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.3852 - loss: 1.4441\nEpoch 2: val_accuracy improved from 0.37052 to 0.45618, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.3856 - loss: 1.4436 - val_accuracy: 0.4562 - val_loss: 1.3237 - learning_rate: 1.0000e-05\nEpoch 3/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.5118 - loss: 1.2752\nEpoch 3: val_accuracy improved from 0.45618 to 0.55976, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.5123 - loss: 1.2745 - val_accuracy: 0.5598 - val_loss: 1.1867 - learning_rate: 1.0000e-05\nEpoch 4/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.5624 - loss: 1.1746\nEpoch 4: val_accuracy improved from 0.55976 to 0.59163, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.5626 - loss: 1.1742 - val_accuracy: 0.5916 - val_loss: 1.1023 - learning_rate: 1.0000e-05\nEpoch 5/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.5871 - loss: 1.0979\nEpoch 5: val_accuracy improved from 0.59163 to 0.63546, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.5877 - loss: 1.0970 - val_accuracy: 0.6355 - val_loss: 1.0408 - learning_rate: 1.0000e-05\nEpoch 6/40\n\u001b[1m47/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37mโ”\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6568 - loss: 0.9807\nEpoch 6: val_accuracy improved from 0.63546 to 0.63745, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 528ms/step - accuracy: 0.6562 - loss: 0.9816 - val_accuracy: 0.6375 - val_loss: 0.9963 - learning_rate: 1.0000e-05\nEpoch 7/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6520 - loss: 0.9610\nEpoch 7: val_accuracy improved from 0.63745 to 0.65538, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.6522 - loss: 0.9607 - val_accuracy: 0.6554 - val_loss: 0.9510 - learning_rate: 1.0000e-05\nEpoch 8/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6682 - loss: 0.9198\nEpoch 8: val_accuracy did not improve from 0.65538\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.6681 - loss: 0.9201 - val_accuracy: 0.6454 - val_loss: 0.9359 - learning_rate: 1.0000e-05\nEpoch 9/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.6684 - loss: 0.8937\nEpoch 9: val_accuracy improved from 0.65538 to 0.65936, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.6686 - loss: 0.8935 - val_accuracy: 0.6594 - val_loss: 0.9080 - learning_rate: 1.0000e-05\nEpoch 10/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.6781 - loss: 0.8931\nEpoch 10: val_accuracy did not improve from 0.65936\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.6781 - loss: 0.8928 - val_accuracy: 0.6574 - val_loss: 0.8868 - learning_rate: 1.0000e-05\nEpoch 11/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.6972 - loss: 0.8395\nEpoch 11: val_accuracy improved from 0.65936 to 0.67729, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.6972 - loss: 0.8394 - val_accuracy: 0.6773 - val_loss: 0.8579 - learning_rate: 1.0000e-05\nEpoch 12/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.6949 - loss: 0.8386\nEpoch 12: val_accuracy improved from 0.67729 to 0.68526, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 532ms/step - accuracy: 0.6952 - loss: 0.8383 - val_accuracy: 0.6853 - val_loss: 0.8387 - learning_rate: 1.0000e-05\nEpoch 13/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.6966 - loss: 0.8176\nEpoch 13: val_accuracy improved from 0.68526 to 0.70120, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 558ms/step - accuracy: 0.6968 - loss: 0.8173 - val_accuracy: 0.7012 - val_loss: 0.8270 - learning_rate: 1.0000e-05\nEpoch 14/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7294 - loss: 0.7623\nEpoch 14: val_accuracy did not improve from 0.70120\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.7292 - loss: 0.7624 - val_accuracy: 0.6952 - val_loss: 0.8178 - learning_rate: 1.0000e-05\nEpoch 15/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7187 - loss: 0.7743\nEpoch 15: val_accuracy improved from 0.70120 to 0.70717, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.7190 - loss: 0.7741 - val_accuracy: 0.7072 - val_loss: 0.7993 - learning_rate: 1.0000e-05\nEpoch 16/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7383 - loss: 0.7508\nEpoch 16: val_accuracy did not improve from 0.70717\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7383 - loss: 0.7506 - val_accuracy: 0.6992 - val_loss: 0.7940 - learning_rate: 1.0000e-05\nEpoch 17/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7362 - loss: 0.7549\nEpoch 17: val_accuracy improved from 0.70717 to 0.71912, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.7361 - loss: 0.7548 - val_accuracy: 0.7191 - val_loss: 0.7884 - learning_rate: 1.0000e-05\nEpoch 18/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7513 - loss: 0.7153\nEpoch 18: val_accuracy did not improve from 0.71912\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 512ms/step - accuracy: 0.7514 - loss: 0.7151 - val_accuracy: 0.7131 - val_loss: 0.7790 - learning_rate: 1.0000e-05\nEpoch 19/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 435ms/step - accuracy: 0.7376 - loss: 0.7140\nEpoch 19: val_accuracy did not improve from 0.71912\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 514ms/step - accuracy: 0.7377 - loss: 0.7138 - val_accuracy: 0.7171 - val_loss: 0.7575 - learning_rate: 1.0000e-05\nEpoch 20/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 433ms/step - accuracy: 0.7591 - loss: 0.7039\nEpoch 20: val_accuracy improved from 0.71912 to 0.73506, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 531ms/step - accuracy: 0.7590 - loss: 0.7039 - val_accuracy: 0.7351 - val_loss: 0.7421 - learning_rate: 1.0000e-05\nEpoch 21/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7598 - loss: 0.6955\nEpoch 21: val_accuracy did not improve from 0.73506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 510ms/step - accuracy: 0.7597 - loss: 0.6955 - val_accuracy: 0.7231 - val_loss: 0.7395 - learning_rate: 1.0000e-05\nEpoch 22/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7304 - loss: 0.6947\nEpoch 22: val_accuracy did not improve from 0.73506\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 509ms/step - accuracy: 0.7309 - loss: 0.6943 - val_accuracy: 0.7291 - val_loss: 0.7387 - learning_rate: 1.0000e-05\nEpoch 23/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 439ms/step - accuracy: 0.7364 - loss: 0.6880\nEpoch 23: val_accuracy improved from 0.73506 to 0.73705, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 539ms/step - accuracy: 0.7368 - loss: 0.6877 - val_accuracy: 0.7371 - val_loss: 0.7313 - learning_rate: 1.0000e-05\nEpoch 24/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.8037 - loss: 0.6450\nEpoch 24: val_accuracy did not improve from 0.73705\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.8033 - loss: 0.6453 - val_accuracy: 0.7371 - val_loss: 0.7173 - learning_rate: 1.0000e-05\nEpoch 25/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7477 - loss: 0.6955\nEpoch 25: val_accuracy improved from 0.73705 to 0.73904, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 529ms/step - accuracy: 0.7480 - loss: 0.6950 - val_accuracy: 0.7390 - val_loss: 0.7271 - learning_rate: 1.0000e-05\nEpoch 26/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7695 - loss: 0.6569\nEpoch 26: val_accuracy did not improve from 0.73904\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 513ms/step - accuracy: 0.7696 - loss: 0.6568 - val_accuracy: 0.7390 - val_loss: 0.7204 - learning_rate: 1.0000e-05\nEpoch 27/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 437ms/step - accuracy: 0.7862 - loss: 0.6070\nEpoch 27: val_accuracy improved from 0.73904 to 0.74502, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 537ms/step - accuracy: 0.7859 - loss: 0.6075 - val_accuracy: 0.7450 - val_loss: 0.7000 - learning_rate: 1.0000e-05\nEpoch 28/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 448ms/step - accuracy: 0.7692 - loss: 0.6540\nEpoch 28: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 525ms/step - accuracy: 0.7692 - loss: 0.6535 - val_accuracy: 0.7430 - val_loss: 0.7039 - learning_rate: 1.0000e-05\nEpoch 29/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7770 - loss: 0.6258\nEpoch 29: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 516ms/step - accuracy: 0.7767 - loss: 0.6260 - val_accuracy: 0.7430 - val_loss: 0.6981 - learning_rate: 1.0000e-05\nEpoch 30/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7703 - loss: 0.6362\nEpoch 30: val_accuracy did not improve from 0.74502\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7702 - loss: 0.6360 - val_accuracy: 0.7430 - val_loss: 0.7027 - learning_rate: 1.0000e-05\nEpoch 31/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 436ms/step - accuracy: 0.7840 - loss: 0.6438\nEpoch 31: val_accuracy improved from 0.74502 to 0.75299, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 535ms/step - accuracy: 0.7839 - loss: 0.6436 - val_accuracy: 0.7530 - val_loss: 0.6854 - learning_rate: 1.0000e-05\nEpoch 32/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 432ms/step - accuracy: 0.7739 - loss: 0.6072\nEpoch 32: val_accuracy did not improve from 0.75299\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 511ms/step - accuracy: 0.7739 - loss: 0.6072 - val_accuracy: 0.7450 - val_loss: 0.6856 - learning_rate: 1.0000e-05\nEpoch 33/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7579 - loss: 0.6496\nEpoch 33: val_accuracy improved from 0.75299 to 0.76096, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 534ms/step - accuracy: 0.7583 - loss: 0.6490 - val_accuracy: 0.7610 - val_loss: 0.6737 - learning_rate: 1.0000e-05\nEpoch 34/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 438ms/step - accuracy: 0.7705 - loss: 0.5965\nEpoch 34: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 518ms/step - accuracy: 0.7706 - loss: 0.5964 - val_accuracy: 0.7590 - val_loss: 0.6654 - learning_rate: 1.0000e-05\nEpoch 35/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 429ms/step - accuracy: 0.7633 - loss: 0.6314\nEpoch 35: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7637 - loss: 0.6306 - val_accuracy: 0.7590 - val_loss: 0.6714 - learning_rate: 1.0000e-05\nEpoch 36/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.7913 - loss: 0.5923\nEpoch 36: val_accuracy did not improve from 0.76096\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 506ms/step - accuracy: 0.7914 - loss: 0.5922 - val_accuracy: 0.7490 - val_loss: 0.6725 - learning_rate: 1.0000e-05\nEpoch 37/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 431ms/step - accuracy: 0.8201 - loss: 0.5567\nEpoch 37: val_accuracy improved from 0.76096 to 0.76295, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 528ms/step - accuracy: 0.8196 - loss: 0.5572 - val_accuracy: 0.7629 - val_loss: 0.6595 - learning_rate: 1.0000e-05\nEpoch 38/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7924 - loss: 0.5430\nEpoch 38: val_accuracy did not improve from 0.76295\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 507ms/step - accuracy: 0.7922 - loss: 0.5435 - val_accuracy: 0.7610 - val_loss: 0.6495 - learning_rate: 1.0000e-05\nEpoch 39/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 430ms/step - accuracy: 0.7871 - loss: 0.5733\nEpoch 39: val_accuracy did not improve from 0.76295\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 508ms/step - accuracy: 0.7873 - loss: 0.5732 - val_accuracy: 0.7570 - val_loss: 0.6466 - learning_rate: 1.0000e-05\nEpoch 40/40\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 434ms/step - accuracy: 0.7929 - loss: 0.6056\nEpoch 40: val_accuracy improved from 0.76295 to 0.76892, saving model to inceptionv3_model.keras\n\u001b[1m48/48\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 565ms/step - accuracy: 0.7928 - loss: 0.6053 - val_accuracy: 0.7689 - val_loss: 0.6446 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"test_loss, test_accuracy = modelv3.evaluate(test_generator)\nprint(f'Test loss: {test_loss}')\nprint(f'Test accuracy: {test_accuracy}')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:46:00.191387Z","iopub.execute_input":"2024-06-24T08:46:00.192234Z","iopub.status.idle":"2024-06-24T08:46:04.497276Z","shell.execute_reply.started":"2024-06-24T08:46:00.192202Z","shell.execute_reply":"2024-06-24T08:46:04.496404Z"},"trusted":true},"execution_count":95,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 236ms/step - accuracy: 0.7941 - loss: 0.5531\nTest loss: 0.5449430346488953\nTest accuracy: 0.8070865869522095\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Ensemble Learning Second Attempt\n","metadata":{}},{"cell_type":"code","source":"modelv3.save('inceptionv3_80.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T08:46:16.688635Z","iopub.execute_input":"2024-06-24T08:46:16.689029Z","iopub.status.idle":"2024-06-24T08:46:17.226212Z","shell.execute_reply.started":"2024-06-24T08:46:16.689001Z","shell.execute_reply":"2024-06-24T08:46:17.225393Z"},"trusted":true},"execution_count":96,"outputs":[]},{"cell_type":"code","source":"from keras.models import load_model\n\n\nmodel1_VGG = load_model('/kaggle/working/82_test_acc.h5')\nmodel2_mobile = load_model('/kaggle/working/mobilenet_model.keras')\nmodel3 = load_model('/kaggle/working/inceptionv3_80.h5')\nmodel4 = load_model('/kaggle/working/model2_84percentacc.h5')","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:10:42.630720Z","iopub.execute_input":"2024-06-24T09:10:42.631520Z","iopub.status.idle":"2024-06-24T09:10:46.349971Z","shell.execute_reply.started":"2024-06-24T09:10:42.631491Z","shell.execute_reply":"2024-06-24T09:10:46.348986Z"},"trusted":true},"execution_count":108,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n\n\nmodels = [model4, model1_VGG, model2_mobile, model3]\ntrue_labels = test_generator.classes\n\ndef simple_ensemble_predict(models, data_generator):\n preds = [model.predict(data_generator) for model in models]\n preds_array = np.array(preds)\n avg_preds = np.mean(preds_array, axis=0)\n ensemble_preds = np.argmax(avg_preds, axis=1)\n return ensemble_preds\n\nensemble_pred_labels = simple_ensemble_predict([model1_VGG, model2_mobile, model3, model4], test_generator)\naccuracy = accuracy_score(true_labels, ensemble_pred_labels)\nconf_matrix = confusion_matrix(true_labels, ensemble_pred_labels)\nclass_report = classification_report(true_labels, ensemble_pred_labels)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:12:13.816083Z","iopub.execute_input":"2024-06-24T09:12:13.816900Z","iopub.status.idle":"2024-06-24T09:12:30.530418Z","shell.execute_reply.started":"2024-06-24T09:12:13.816867Z","shell.execute_reply":"2024-06-24T09:12:30.529492Z"},"trusted":true},"execution_count":112,"outputs":[{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 216ms/step\n\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 214ms/step\n\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 223ms/step\n\u001b[1m 1/16\u001b[0m \u001b[32mโ”\u001b[0m\u001b[37mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m \u001b[1m11s\u001b[0m 734ms/step","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220346.922421 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m16/16\u001b[0m \u001b[32mโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 239ms/step\n","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1719220350.500242 140 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"}]},{"cell_type":"code","source":"print(f'Ensemble model accuracy: {accuracy:.4f}')\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:23:16.351997Z","iopub.execute_input":"2024-06-24T09:23:16.352384Z","iopub.status.idle":"2024-06-24T09:23:16.357619Z","shell.execute_reply.started":"2024-06-24T09:23:16.352351Z","shell.execute_reply":"2024-06-24T09:23:16.356673Z"},"trusted":true},"execution_count":119,"outputs":[{"name":"stdout","text":"Ensemble model accuracy: 0.9055\n","output_type":"stream"}]},{"cell_type":"code","source":"\ncm = conf_matrix\n\n# Plot Confusion Matrix\nplt.figure(figsize=(10, 7))\nsns.heatmap(cm, annot=True, fmt=\"d\", cmap='Blues', xticklabels=test_generator.class_indices.keys(), yticklabels=test_generator.class_indices.keys())\nplt.xlabel('Predicted')\nplt.ylabel('True')\nplt.title('Confusion Matrix')\nplt.show()\n\n\nclassification_report_str = classification_report(true_labels, ensemble_pred_labels, target_names=test_generator.class_indices.keys())\n\nplt.figure(figsize=(10, 7))\nplt.text(0.01, 1.25, str('Classification Report'), {'fontsize': 14}, fontproperties='monospace') \nplt.text(0.01, 1.05, classification_report_str, {'fontsize': 10}, fontproperties='monospace') \nplt.axis('off')\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-24T09:23:21.412994Z","iopub.execute_input":"2024-06-24T09:23:21.413811Z","iopub.status.idle":"2024-06-24T09:23:21.945224Z","shell.execute_reply.started":"2024-06-24T09:23:21.413779Z","shell.execute_reply":"2024-06-24T09:23:21.943533Z"},"trusted":true},"execution_count":120,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"","metadata":{}}]} \ No newline at end of file From ad9643ba7cb93eeecded8f5562f079e04f9c04c0 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 12:03:23 +0530 Subject: [PATCH 14/27] Update and rename Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb to Sugarcane Leaf Disease DetectionModelensemble-learning.ipynb --- ...> Sugarcane Leaf Disease DetectionModelensemble-learning.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb => Sugarcane Leaf Disease DetectionModelensemble-learning.ipynb (100%) diff --git a/Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb b/Sugarcane Leaf Disease DetectionModelensemble-learning.ipynb similarity index 100% rename from Sugarcane Leaf Disease Detection/Model/ensemble-learning.ipynb rename to Sugarcane Leaf Disease DetectionModelensemble-learning.ipynb From f3d5cf78be5bae36ed26a6bd88c788cdcf28bef3 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 12:56:11 +0530 Subject: [PATCH 15/27] Add files via upload --- .../Images/bar_graph_distribution.png | Bin 0 -> 10818 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 Sugarcane Leaf Disease Detection/Images/bar_graph_distribution.png diff --git a/Sugarcane Leaf Disease Detection/Images/bar_graph_distribution.png b/Sugarcane Leaf Disease Detection/Images/bar_graph_distribution.png new file mode 100644 index 0000000000000000000000000000000000000000..8efd0a316825624a4a4ac202fe2e43e0408d6a49 GIT binary patch literal 10818 zcmc(Fc|4VS+wT$)g-jJfb{d2gp*gYRIc1LyGmci=4g+%|K`=d;bbsFg+jgf&S0VYj!$o=5mt5Tm;efOUps^bg*x~o z3O-O`VZC4aE`mq;PRkRHiaWy>c9vTCh##IEN25!uRq+j&+OFN$brQkV0!uE}A_S~F z%{Q+dTqoiW=ZPoD_?DPs$!kr$d^~aip99HjL$?IY9x`zJyxSDC*Pzr^0~Z+=7<$ zO{Z=v>$h6enJi7Gj-oJx(0mnM95A#nuD&;!r-hS~u>Ewz|LX&~JoWgqO(T8ZYe@~I zPKEV@?<4tK)0HDDY&#N%H7<=>b4%P=Tw~aGCG^13);R`_?aOQzeHOpoTIkYKQQh3V zh-AV)tRv$H-}Y^9uQRGc=7*%*yGZ*^VB zs3?Wc-t$~Ucz9{TMZ1ybf_iloigT++dlI(su8q#&hea!HBwQHYd)VxjX~mtT;NAJ* zQu6P+(duW5`?Gi5#}-$*|m%a<`Soi&Vcck|^#p4|`kN#eRSPw8Cv%sdjrd zmsm*%EG@Qb9Z}}POz@}K_oS_F&lTc#NR1?MR{xEK@-m0Mkq~;ey6Y2!T}mZ~kijQh z;m})A|v+6s2 znHm+&c!}M5W*(`DF1@JFR16@eA%#H*k@aw_BckV7&C@pzyWdl)JthSH9AGSH2bMb|P|Rx+{`h6fJY_ zM>oGk;8M%sRctF1ey75}gXdjxwq|Q|9%3M=-<<^rWy=|40k}ZEi4sWg5!iO{YF31i$*8?W?G9GHqJKxa8fm zzR;50k7@OolTUdVQ4M*vjN*5*j=wUy+rmM4ne$YKkw%>UO&eeg`&s3Pqhr`xlOJOh z+s-f1)%!SJ*Di0!867xOm=mbeNTWa8l_=gWy^&3wf%YFV_xA0(zs0qAqtYHfz7iMcvzy1hRJ)TE z3NG$!24|0KL!%hWKb|YEvDUTgVwPQvs^1v%A4}Dt8}yjz-CAMmHLjN0%1%!m*&KMC zVpxc7<*B+>&I%1*>P^55Q9pIu(=Vu9&dne)yZFa*{agd%S}$Tg3MZ;FNZu=0JH=*!Nl5V-Nc{-Di4V1Ki1u!ZQXWHwGe`Q)1W8M7P7QUlOgmY2qS(&b;@ z%+{rh<*;a{yHh2poj|#^de)oIRQc!c3ZdC<}k?x2Xs<;r?a}#gpRM4J`O~S zKYNi!Pa|pAVln#0{1_GL&E2Z~Ku;>{{6JeFzx`q=yK6Wa&lFu(BAfqBYSjJRmr{GY zNn>Q@=9tzERY@nMAX<|i?VP3He4sVG^rZK)l+EvQMMg??`YPSxqYU&l0jlu{jq;u#6QtxOMg9g&iad6Nmx9OF#q{$ zq8}~OdGikmQ=vMqeW`_Y|1``}l~mS=ImpfHGxy*YlPaf?Q;Lmd{AHs($5aOd4zhOY zgoJ$7rnD?K9gV*5s*SxpQO>D|MqwX4-2E|QNXQRzEdO{6w=2U`)bk+5h2pmwNwn%J z4nJaGX%wMTl1-KY5dR#hc0Qa;Mjhszl`%e#K& zg}r6#CX5EU&fJ=r=u~NKdAR?uNkhQa9jHJFn~&^sU#d&Rod!Q`Z;)KOS_4rQPu9rml5T&NlE;*-*wx5ayat-lY(>T}4 zQLm(dJmWqJnS{j;=9>n4OWG0|Fct38ns{J&Z8*;8b_aTTXuJ~Os^KEb<~-}RXtZ9G ztiPAV>qJyOq0}ytj$RcfS3h)Yehd>J@&oYvR<(3yrU(%_WUW2 z^kAlDvg2WkfZ|IWkAoBI#(rEb;+_4Kh?%!a;s4eQ!mCM4roNO&rk8 zR~{7VO@bF(V65KX`AgMZ^u-h*o_o`s&Rwz_FW|oIyna9UYsW*m>xLD1xIG_UdH*}7 z^PBrrO}SJk1vNJlC8c0m#`)q_-WBDwYub8Bh}6k7kMZ@ig*rVo|6{Be4qFQ z^%8Fs=gpMTs=uE4pPS?L6q$d;nOJEWbVA^y=j_eFG}qppO>92zzKC5)7G8N4V`a1ZD@7S_%KN^cXE3?I@Ya{sIS{4W6EUvK`u z`pcT?D)#+Z&p<>BIQC~*0$8q>AScrneS)}-cdZ0r?q@8(T5OPS;%f|&#~EMYjAlZi zI_u!L(1BYvNgxgxxx_xuG95kgJkj$Y%SYSTa?)Nm2msKrEBEOMhO#+0~#KGP{6yM&0?QtT% zdMZnspY&PMuJfqVSY0(EpWGM6!9317Y7|Pc51zQT-djL}c|eg3A)fx{DVen5JO_AX zK1-i_lE{U|l08XZvzVT4txRv+L!sQJk}Kq3yI<$8|8L3R|E?DP9qs(PD?d3SaA&k; zz>7FyL&wZpX4xD%3}?xb2al@wOit9|*I?!munW%16Kxd%TlePhm99n5@$Yi7l-_E| zldYjnDuBhCO)6cSTfz@B4+3-0ob$ zDq9}?P}N;4#I}KsHJ5uIbX3yq4IHim+_3}-(>GytVHD56e)^V{+*ZaT78EM#!c`8| zvkjZKNmW@VA61U|wZr0(>tyL1=X0B(?2sxEq!3_TDn7){3If-PN6MoJhouYy3{M%V z37b`QSGW>f*iPQqHwMq(g+o|q2%TbG5qF5X7sq-`r8@Twp8{+26 z?R(z7f66^=sC4>hh8AuNx@cO1nSkA`H^0|*Vyw{;T8hFoAe`l@q;%NabamO@g5|Aav$|c@pcqU$Mo`%B>yBmVNVf_j-oVXPFp%y$_NS1~i(jnqm+a%(@YOV-M>7^W!;DDd!f){7J)Cm}Mu*sgRuG z62}i+Wk^Vp(irGx?^pROeUrZten^DjC7l0l4X8{I>)qWSm)M|#oOK@3j20^L9QI^>7=1#08?N}PN8UYV zK{AFNkp0eJY~(=deuf9yO?=_WmI>0qv=Ch%09vS61dsrJ2@g#0^Q0E2xeC6(P5!?- zcRZL`t_Y$7llA#w;zBK{0=(>ACs;@xpoKuHh<4gWdTTE*vE*eL`dDjWyS zI1Lpf6R7Sjer;+pfrp+OeSn_(l1mwqyFj73Aa;aH+|g*b#3r~Lo|nN1PS&&atGc8t zNvrn<5ITt`elBk21KBgLc0s`Ys{mt~$J&6QDS}$UR_}kOAb4UJ&5uysI_%948{$L6 zS29l_+k^lR+#423!oii9&HQrp4K?#7hFff)&_dn^F7{X-paNlDfHy0!w6M$N z{K~OqhyE;`COCR{xH;d`LaiupE|_z#>|Xl558NSE{^QX;pr#vvB#sE#MRA^SsY%R9 zjUaL42|&e!GV?8X--k~#%kK>LJ~=GP`#0WeLm=U5+s(rdO^o5o$D{9O2}NrYG^tLDmszN zYvBtg_?`RiiZ}UF0qWK_zenPs%>!tzYlO`Z8XK7jdH(Vr5Na7h`{%ELhnJRh`BK%> zZs9Y&m(M*FaC#lW2!B|b3Mbs-5fe|z>P#R06fWR4Nc=^?^B{B91XEvJb~lMVqdyN) zp}5X>WdyK^2!gg0N^Tgj18|7D%_i8Wr7IWNQ7f3%O{r7M#22 z3kZxC&ihedqxF$ZpcG}T16F&K*N5$Jh;s@o3_ERFk>?%SpWzGNy@yb0)z>}#l&xuJ z$n^p_GaTWXzhE%Wr2Hd^2EKHqcBNCA907LXSOqNGq~gv@ykgEFOQ7FC!Q+2ITF8FU zy6$@uAI4W^>x@zqsBm50;Q zt;xeJ<&njFzwB1i9%eeOeGXtu|7IK9|3cP~SRuo09&X4;n+T@>g78q3u60YHgl%JQoBq*b;(wv)kI%*FlO0J2 znUf;_#{I0mG#BQ4+fX`QpErMh8JK*fou7l<lTBwK!FsU(a)jz8Kx+;iWdSWk-r-`)wI$@!urEO94#Z)MEn(?yw7pgD&0KCK<1Ml{o*Ns zD{sO15+M@aa9I7(V~}>09zyclMTZcPC~!pyT1EtLbR7(dDcI>ez1Nz&@P7(-)Gr7i za%-V(MYB-x4_W_;$OZ&!Eu#4?KmBn&aHAEp`8MOrg@zrMU!(@VFASk!64w}nwBJu6 zPa41;wDp&({~c}Z39cBFWFB;&gk9&0ly^VRMk6Mjk@LbkrlXQyZIG@)JpaWm87o-u z@&%;cU&KYFPzOR}J`dUS>ZC>BR?A44gB56z5>UPP4Aq$V#qnl?Y~2%xyd*f3fS^Xq zJys5Yeg$kpH&r8qe@)TD0O@%kbqz9aa2ASdYc$t*&fNiaGAKmL=IXtUK=PP&){#bR zBOQ|?f^mUuy{9bUY>@88X+czq@Rb*7%-MH&qPVI`QnWqc;%g$ra5y$C%QTn<@Cw7z zT~>>Wih{@&k-uGhQXU^ltlMrUT(BttW#!Kn{1MoCYLXtwUHmo{G~oGtJs>HW;zb|b$*N$a^6~=l(2kD1KQvCj0CKcU9(-M z8oZ$d)GltM(v@Tb`F~{tX2+z|wnG?+7m!Iyp>emzZ9T++l}dU-m;c+4?ccebKV!jv zioyQ>{4yMl8<-W-8joxdblvATVdL9K(xf7A8x(9Q3_p4$oJZJY0AMoM+gMo<2LbAP z$t^`tP7KLXp%z>=M!j*wv3hAAc#JCa(fQTmUz>u_PDNI&OzqDFV>EDbqt|~wV(B?I zSdN${NRoo=D6JE1F^EM6|26a{yI9lHL!eiLxEMGaXK+mtcfVbQPR&OWz@h2(_%7;q zVSpUg#F6q+C>z=naOTwlrYhQfO4+)v>eg>Tc7#q!$)wW}xdJo50J&5sbYt*Bm|vu7 ztn?O+a~_6Ol|anH&?$MK0AXTs8Nn(I9coXqqv zs4PP?A82f=djAb3HHgF$;(kqY6So38&WNgL?yM6_!Bv5&AO}=~b%Z!g5*H7MfG=#M zIMOj4T^tDo=lkxLS0<-FLMOO1&VS*Cfc2s1Cr1pa@St#V;;4m239-~-e_Yh_0FhI) z?yn0dNo&EE1#A}OX-(rijDue3UECe>hfhvetj)&l^6l=6)9g_G-dMs&(D{D!DGa8J z$*qvpGDGkLqbe5=bc|{df&r>5SebNw1nSno@EOOSH4mtU)chlsADm z3kGZ^&@zbSZyG5L4(bN(aYZz_TGUY{KDj#^yra(=m)>)GfgjrYN`(m-0)vR|y8wgY z=f^J3kJaO$BW%3C+*Q^Nnn;QH4AKyw2WJG9s7mZAXA+E4m*if4(bLKd${U&g8oK8JS!dd&t#NwxmU7H&wsl07= ztr0xPc-je`C~_;dCK!#3AfrKp(2$rgW_r8TOS*kcF!iwmI$BHq2(iTByf6{4|B&zN z-PX{P#FVAW;2nS7-n)}H@!DB7&Pk}tUL)uyh<>E-)gga=6vCD()9D35wiw*~@U_F{ z?6Au$TSp*xWL|prjhbzZnjp~Hc~1jRiSCB$<@7)}`{8Mo6~bsKpX02V4gCxZEDfgxI2shA}OC&|zLubwG!Iv#Zq$6Y4 zq1_eSZW$ySd%HG|V{mY0$+zfFT?CTYmEnVw+8M~OD`tLvhLLd$q#aGsTcPJ++<-G|RX6u4gZPS2 zwc0|S%`LnGP8FT$_11@hZaWRT*hEJ;+T*v@*4?QuJ&vR|V1`$Aq@FU~{r2AXY%diV zlcIeD zer1H^2f2*WH6LJ=a8_pwX6hFCDP6{N*s$HY@0EHw3382uz@3ixa$*Ba33-E{hGt{V z_QXKcF=$cfW!96GTeG^A9x1nM6VfO54NIBE2H=MjRShqk4#@Vdx5p0<)bSh0@PU*{ zM8`+ZRc{BZjVgZYe@^+s(Z5!}24E~-0a614i81eyqV9VSgOZCo@WKJ6K5M#I%05TW@Mn{% z9SsumSaiu_wmtY1a-g9o+n^k`CSz8OBoIlWpQYU-ap&__Tui6S+O@&MmDitgHCQ3O zp#JzgqN-=m$+yabpKlPb1nSU+7x0S5VhIw*{?Xl(0}MhjdD^acdWYFu&JQA~&GnpH zxz1+PDcP4cjz`Me22Zn=h=kpnOiS+)&pXe78d_rV5E_}ND~Q3V!_4Ww}PJaO8n^~=<>2NsDI-%)~+bFR;eGJkt@T;QrI z_hSimjqP-GAoDs-MLLn>Sa^e>&)bV(PY%^-qoS`QaoV)tIIk*D_@(M+tKYRl^*RC- zuT#HZ{h@DYZUYp&!o_f67b4haqFxFXoiN!Nv4eT?PWjiIaZU)jm}%2eGE?iEUal64}3k2^XxK-XUcQJC;|AplJ=!U~wDmU!v{az*>{YF>Wd#-3?>o-5H8Z^El zk*5rkdtKSCDDhj8JA1#_?6=&)hS`mGJ?kAdZ?I!979dfn<5wXOnX#<2X^#txV$NMt z+m!7N3zhSJ$hdd!+G{_+oBB+n4uxOSZ_*tF70JCz(h5Y$*mL@^IqQnfX3OwC%chl* z)RF9uYR->Nr6I|76|xyg0d2qh(@q)cD+sq3j@F8%Mt4V-%1D}1{<;1-5Udy3OIjw^`$;jkt|=f za5aa%Z;nHvzduFOBZtXQFS)ahoojUjtj-Caz0qmK>l}Mrs>W#vnfj${g!z<<=0rR8 z(>K#oP^sjn75>}!pT6*((K4n&6IEVlNK`T+7HIysnUqHgaZKQtVDG#co*l!TJdt%s zQ@qQruR->#>H1MEr>UO7RztRLKHK*=MA2WS*Iwxb8S1}m_}!6Y@QB@+9YXIlCJVRhm5Y&Frp7(FQ?jsO+p#b% zg4r@nH1p$4XAIuC($~IQ5#0{syrqhJmhCOpAd!+VqmZGH7hD$yHTlSFpx^%MISljar9N*Z+^exG`UO&M z+3U(04mnS|6*b8`Wh?rg&H*b2DJnc!o+&zf%*n;Gr1XoXp3#F%D%f!3)iinahqME? zb5@caN6K)$A1Vytm6y8&J^{_0eMD|9G5fFh%0$AdZ1;LT(Ma5RdtSdUZ_37bdNw4N zT=llJ;gaK%LAwG>LrO2Ot19Qv@G6@rDhB2$0A^pboy+} zxkw643e?RnB;Wpa|MS}uQK+=EXF}p3Rqro8=2KP@-(Pdm%<6_cyA-2xZmzpWUnV3i zn`C7%N__!g$Y)coJkenL82Xg*5 z)jRa}%6pS)d`e!9-)5crHg{xf-zRIL$6v>l5;wWj!sK<*HazzQU@lz?>6dU{r zffo5q!PFklTmAK%{V!4!-@spi`)YW~Tqg6m?+M<>;tN_RB|vC}ed)58A?-PPHmWB4 u%>C!#5#eC0B|Xd_Zx8#|-e6zpE}cYn!VQZOK08RKP^#B7uNElX3i=P`b1KIG literal 0 HcmV?d00001 From 9a9a6953b1c441d620d91e88256832f25686a742 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 12:56:50 +0530 Subject: [PATCH 16/27] Add files via upload --- .../Images/pie_chart_distribution.png | Bin 0 -> 31326 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 Sugarcane Leaf Disease Detection/Images/pie_chart_distribution.png diff --git a/Sugarcane Leaf Disease Detection/Images/pie_chart_distribution.png b/Sugarcane Leaf Disease Detection/Images/pie_chart_distribution.png new file mode 100644 index 0000000000000000000000000000000000000000..f9c1c9125a748480d070cb530bed0e536d35bf29 GIT binary patch literal 31326 zcma%iWmsFy^EU1h+_lAux427yLh&|0ad&rj2~H_iC|-)YyL)kWm*Vd7KYe~5-mfp$ zm6H>)yP2IcJ3Bk~+~LZKGMH$jXfQA^n6e+isxUBc2rw|PM<__Ze@dTgw}CfUCsi2< zn6gpwzrY6sGjRoR7?{df^d|#E;4`ZI$FEK>Fj(FHUaS{ok8tBa z<67zC?dURs1XMe|d1h~I?Z$Oi7So(S=2m@oqjG zmaFFpt7~aR{+-J2-n$&^H;NSwZFJfzD)zEHUaW1{iV^%04y^;mOn6KC4Q18)Qi0s} zZiAT19CWkdrnlgZ2nXx&oT#qbNu=jZlX+WX&K1%A`h2>-(p>M2K_x=o{el?}^ zdbWoHhJP7&6I(EO!_CV(EH*ViUtn2RT3Cq6-g<@mTW=OK zxkk0{XpE-|RPN5YvA-oJ=UcjEqEOLJe^FB_B3<`~$Lerf^U0S3*U(AY>c04~JsiFk z(&Er{HJ`Rc`aNw?x$kF(+21Uf8O>K1r0_Y=D)Mb0Tpi4yOG!yxoM;P)-mM3jxIGk? zx4k?4EoBaJTYrAI4qC8IT2tbh%xQkEozv~EU-Lze>A?CBEuBxiqp0gp0?A_iA&j?t1xv9U{5=W*8mc-&mh!uTlc;ctUfYJncoirjN zQ@Uq8HDQwRtoyw_QtA3VyLeyEs9!v8Z*LFye=r**U-&qdA*^*H02SSG8WRpXI_t27?O6?#0X)~L5lXR&)Z#W#?BO5fhy9jdzXdRh;{ z-p*9_9{XBtn%&w;q33%~7ZDk`aqYR2sdv?evUw``BplI>J@H7}R(@BFiiwHoz8-*V zoPKAAE8hFpc_>pRAqKG91O#x<+fdXV`vBe7tzlIzu^fk`)P_TXl?|jISo-g%>e>z= zE#HaU7IJ8s?=~aP|K?{7Nh@=8(ek0Nx10rHkmtxqaP`pQmuOT<=pLe-n+csXY#EP( zdeYm?^${m>?Eyt@me#LIh>OE&vk_%@U&!9?;YAlrm?vbL48+mc^O0A5Bf>1ZyA19& z@X$d>Bl%!DKod05^AqlTkFc!eLhk8M?={{)9CQu*T{NCu&*=?|rrmilF*64#=1XRZ z_-v2izqZmkLqSywelM3)fXVxP6IFT={^@-&ShYda6W5*Ywi>?neB$<=k43Ld8>uEH z2FoLz@fcc-0cCWk>0_+BUG?f8<=-QRRNI76dYa2yfp(lq10pPzqBY6akl_BhuHUwHNy4bvK?tJFlKhH!H)B5?7{B!4opO z7L}KuHa@FK7nhfnYrc<#lXdBiLrjhXlJkI4Oo-YVrq(_ix=UVhK?md0o?mX;lbLaN zZs9P9ImAQ|&dmsf*$fS7RRjQMD#uYg6A>SeyFj-BG4$=Y-^*lgUX2yH`1rI*)E=jE znFGtl!jjO9%#iLJZ=Dd!ze~)Yt;BcUgJ+W5urJbn(sa1}R^+%$8?aLx7BG>Ig+*b} z{kOYD_V%YL>n~Ds&*%MA?5|ORXo!Xv>!X2jch$DC2yi&w2%K*#^3oCGSi=oq&fVxK z)57nu4EanhR0f;nH8^k?>nlc$e*ij+j8hcVPH;eN$2^PxqHQ#w~l9e!4z0qv5(JoDND) zN2TEv`t?f=2Zi}VnO=Ye4U6VCY^^RA*q#*5TOT6%X!Qhlj9}KFyxBa_SuRDVm2X_J zz1M!a4VMi|vw8WE*6wO$2$y>&h=<3_i-$)kHNW5)Pp3k!52zBZ{b8ouxZ8J-E_vX@ zZ-OIy&?RTdZ&=noEgXi!ZdIsJQBR&2AM?r7aQBt9ewmhRM@i%!Va@w8`sWXJD5}5V znm^$8G<1nRobkGa+YLWlAMUKYm}UCVziJ!8Wtj&{@xILV{1UbZU1&yC&2@SCur zmIzB(XE+&hGvSopXo;tb4uvqQDwSsq5?hw*0?heu}T+& z+18LtRE*VA5uQ@fkoWD4jN#-jS;qk>c`!aR>PhRZF1bSwj_6?`^$-HE1Ivmne~XY- z;!-sHyHVLs$!s=^_&HxP#f;P%z{t- z_c1}Dw}2Orgg^*%z0ajc(7@_Xz!q$Gzs8uv7}5MvhD&3y(G_wr#?*A!I}|+fT1uqj z{OyU~&|TsR%Ubt^5lTS1>D23}aK1*}HIM|(We-*B8A3gGW4Y06IO{?`?-zYJXXr)% z|Bzr%Bl-UhIfm>FKa*AN`VDtG_axOBVm|M#oYlQef{$>y3gmmXQ+FkLODkuJfsil( z{9??~innJb3W^~`tH!M&I6;;eg)ui==c>o|(GZWivNL+#8}LDIV*V14y+We{${Kf5 zGp*5ESPlEdfG_WSH}$C|wy0hE@b*xEuX|KFHoYP!E_-$b43Q-&;i+*{s`RO|qUz^# zy*8?b*}ga5hO^rDmbu)nxKU+z?2_;cQI9?mh22=6u9H``zuMHVgaQr?1d%NZr z3;1TGlTilOVZ6CsQ1JY7Syh#)?Z(pL;=B4;I$AkG;Gw5Fjq=OzjBmQ@Po&t1V2dFj za(YuMA}p`c@SnE7iXdT;Gw$I-b>S+b%jW&`er__{oDqfLh5Ov~dLSB(2Jks*T;W1< zox`E=i14uAq%rWWj+fL=n%SEkVg(Ku7p~bU4cVWV%Nh)uAD6sZS2M}KGmoMJhKYi( z38HmakKv1ylFc<`NwA?{W%D&DpWZH{rLm{<(~Cyw$J2>SV^ zhskf#Sll6E?FMS(+&lMlZ0GkqA3Y)i&f#4awIU+^cQhp+>>-YpmjCfy>V_ByH&v=O zEW-Xpq?G?J7R7{z1%g;k5D2*bcWVK7E#NP}AGrK?`?34K0QP^eY-wb;xu9Vsao`Jz zH-$Jti$U;{0RlYEaqi8yh^xrlL2c}YGD2m+)4O|4`gYyN_5w9RC1(NRC{JRA1B2Oa z{r692%LT&q#v}$VDf&~CYGEX%X$H;6ayTltM%2_pFr1|ZF*2TU3 zoxSid6!J})47`alU|hKmIoU**&G`ye>%Ee|OQ+5J$!D>92`8S)rz~!EU1nN6kCKEK z92-bTTB69x#iw9zPScrTC8bt}dP9z0wcU+TJ;Nx#1T{wnRHB-)ALGXTIH7$k{r$$g z%yC%IcVdQ})XO1^T|_!J=T+px{*?eXzQI0u%sAy&P5lA(`rHOP9=QjzH}!8LyK%r; z27pMg8*#H0k(^$~G$(h5%u6cGbrdd#izasdYW*rw{VHOE zNw{DX0`QN}e*w4D8x@cIHPt;StyZGrXc1>FS6_Tsu|KF;Cq}bf{?+55E%7YdiKaC5 z(`=c0_)FXN@c;AixQ4%duZPsEwHE_ZxoysxC94kguFyDOdSZ#?K;0O$Z#9nS@zwa0 zIa#O(B%L@9xC+7f?bxu;1QAzZ3TYm>t4XGh#_l#te=ecmRN zR+(*!jSe)YBo(X=_5yHu@PN7V;e3D8v=la9UYFRSCragMoY3A%!h2<`h3-TzNU7mp zISx<;ccC$$c?oV0A?1AO6%(5d>N$G(9nDtq+y+aQTsvgqFYcEj3~K={pBqFCPh!E7 zLpC-VNKpNPF&xy{5v|Wu3kc`(hI97RDQw;La@fFsW{o?mc6O@KipnIa#QFo$3FMb> z#Ez+)VJt!=Mm*yWz}Q{jGXo(p(lD-u_vP#wJCuBCVcb7Tq!Tdz^y!A(&WP+5F@w+lc?(2NcCnvuj5p{S{P}8SxS)Jw z+}_Uyt|*^*gkqLID~ZqQdUZ}06FE!UX3Gml2Kax(*+YOn!|||Mi9dT1N%)rGX5Hc8 zVTSSgKqsZj2SNHLYgAwH7`i;}4BnIP|1rJ(0bT*Rz0W{_yEH4C>k`Wq;`RTI!1V3s zEQd6!C#WuUr${rK1BYE0nF13)pavMUdcz7!5_lc5>)T(&wm^ z2=SZIaOuz~42jo7@EX_JOD*e^%xb%MJn_k=e$zbe=Ni0Y{;Upl#fFD9L8#0->oZ}! zd#J57FTQomp{C0#VWFV+bLPAfZ!cQlPw#|j?GAXV9+h|@X%AVoRR{V39x{*Hp~Zfs z35(^y_`8s<1_FGJG52f>F(Q>vfn4*){2&i8zwOr(w+f|nw9g)m80cUfz>qCuuV6~j z*ZdRLrn6lYnt!rT^IZCY{QhgIQ=I~iZ_!3y;H&7BLMyYxbf_Pg zfNmZN5L=cfcRU^zi}+>?+`QB-Wddn75B$&@X~@)bPZ2_8r^?A7L+5>@p8cNW0}0UO ztGFNWrI~HV6E=@y6?I+>PIe>X^MwQCz`(Qhr?ZCZF}LF;&BVV*!m))y{7b2IZy+{r zj>Y#+qh!=_5c+D$N0vs+zSP*m|poDuNC2&c?z?@BT+xzZN<4=404#$1iU8#o=>npZ{n;Baf}nzuqoerTs4hx4IXTYbkpfc)*=}n)tcz7+B`A+7S2hgiP)~g0 zKuZlinZ10 z{#+k^VdB4Ud&D9e6G1LzZ-d%9RTt$s0~RJLe#FJ7Nc*&1xKmJkq+ARBTU=s81Co6i zCo3wFc)os>Iu+pQ^D&&G+g?{|dWxxJ_8zRT5QchH> z{(?7?tc|u7NXh3GfEy9uzo~eIX05pz_ye20)9tiu?;buu<)R91K=b0qyFB{2Fsht~ z$>H&*9=xhs|4Ddw*j@-1dGF+y6~|>Zog=>i*Pq(a1aW7viBR^e$Y1WsUR>|?2)UM> zKUkKv;BNe;cL`7>0Xl{36POpC53C@WwO7bd%7YUuj{2w_7iXbF!9}t@6n5=F2kkEe z8SHKPcH$AhifWi|_(eh`QispHH+^m_F{FW|L|~1nN&S&Qv*CO+E%soTO=ju}8RXJ9 zjVQ;BfiRsb(TTDIqF}mh6x8)=`MmT#JS9Yq{oAY>m+%=(5qmrNx1^++ z1H?gmppOw4=5Bj%=Wchz#c{x&@jE}c*v%$3gvqB-^cf?uogcF-Rz#YG_)Bd98Zk zakWzuV(Lj_lfQAihfI(mjBmT9T&oTYMeJ?F-;&g@Xnw%}9e7r6V0K&D)VxZ*cltvG z5^LB)MB;y}>`|PKBxH9q>t`2b8w19(BJqdF{qKXHN(j+2W~V~h7gjnT ztXMRG)g#txuOkGu9GQVJVCpM zz(^>ek7jS9I9O2s{h{*3NOci-X;Z5LG()5ZH^-1kO}H^41vFMpuH|+=KmR|p008wZwtzgIu6~u*+m_zX>uq&5c{`q zS7)O;`6{SG6{1LO8xfD~T1N5k@POs#`jO>L!V*Zd2_d7-zlbh}qEbpA?r`O8@{-CN zSeSBJ$4xku(w7(~BP9idflwn!mds-`>%_cac~eYEyZ8f+t5Y>|!wdT;G-WMzH;n49 zkn|5Pf*uNZSewsp$$N|J4$oF4BR7uq>lswk|6U0s@cQJpLis4$1PudVG&8($quthm zKFWj@<+%fAugq}i9E}GLZV^8R?i>SG58UI3%_A7=;kGYyi>wm`7>GbpEmqm3w&+(z zpO~0v_4<~=g+Fb3*mp0eDcuS<`;Wc3{^4`|ZXRA}b6i#h1E{_T}VQ z&Rf`s6`PTE5%WHVx@vY5Lbqu24Mm&Ek9JH9g_pNj?tlpc;jL7+%D>Hr(7Q%u1~gFy zazaKcY7Y|mgW9k%a=j5&@OV43e9#ca35vUFB}Ce7t)~>Xm6ET~DhUN$=p1H62177i z80PXbb2fgbHNLGx<^&n@IeeVBrLyk$IX6p79#N!8y9mLuqo^t(D#mqbHpefE6_o~@ zqC`V@bKVUCQXmFB4~6FYV$#dir7TORxf=vLE4Fu8fP0NUhfI}ql4=Di+RRp2i4LF+ zVts5Obz0SCP-1_Zvtl;JL+iGhRsOv$}0s^Sv!xh4k{*?8V5UJ60 z8NlTT=fXdD?Mf1D&aOJ(Mdujp%1^I3GVkF#zX5*zO`V#aU^~uQ8>Eon3mwiePcwJl zY5;648utLfbIXtu=;hS>J-41srt zF$@i`d`_5v5pkw;`D(3}&UaVVoRB4QYz^P{#i_RwH&NeGe#CdsuHvJqwCTg3Om7Jz zMtKk3k|r`0ZC6Eym!ANy&@s;k9{o-%0*BLLfs5MD>1*2VXuZ&GVBp1(P{L^Mjv5oq zi(CO?JiywSH6_-vf`sET?Ota8U42}C*v5lMHb(?dk9aJ?xj(Lk03rXRE@x3Z^d@ES zm*m7|{g?3g06v7m^SY%Ctv2nM@iKktk4C<3C{DV1k-#=z6bfznWM?HDReK1ul(OHF zp4N5chbvYuCOvqE6v$O~b!l1hRHvH=EodfI@Wl7KPI#wMgCAVZ#Rw=VXzb z{W#)W!{Z(S(54V^FWH?LHh-E9*``4j!tjASsKOLgoFLicC@1LG4~Prf^23Xq^IiAd zpS{i!+79avMaAHnd=?ew+jekoGYIzAAy6*{Kvb?6h;_60U%y^mNMU-u55|8NcBG{X+F)4D@TS zM93_)ROS}dJjGn+4x(a}qK8O=n&8z*z#uMH%_$$Nj=;$hyjrwe#@h@_TbaolF= z3M{`}*6&iQ_H`9jZg0Y~^{pe05)VSiC$Qjmqnl1$ex*c4NNw8{?Q*p#;6lR#s6!CD zaeh8t39*ze)K+%{O%M|z!8gpU2WHO~Su*{Q%E1YKLlc}!!#e%!{3Jkn*g_Z{inBEO zGR=8x)#GyRvAI3W`mFJ~bxSZ-|H4nAfV{0X5;D=RBl=nAS1soCYb)#q;D;pB{{92! zinaS$DL+T2fZbp7t!nx;J?7e*-?5mIlU8OG&~+(9#V35S3SNCU;k*l?Ed3=})(R6A zD~joAg_Ww~;=b3+07AJ3O$2t%`#u_E8pt^NZV(cx`35vviS#u!+s*NNt?fedclEv`@#pLJKa1PGa3>s;rh7caC;3DGJ3M_oh)QFX$vtd#|AtaS#yUtD32;r zs^PLh*dZ&atYki6tVD^L8uO_QkL>nIT?IbntOR>sI(BTNn)68n(#5e9Sae^xW74mX z?}dtlQTFk);M4W4#+3yu{I;TlkCZ@IVH@Y}>#of^{bJNvWk;mvF4@W-6K}}j#UuWn zh1j1*qN~g-wifc>Ms64#W1b#95yy=@qs7l`Vmhs3drXwOH&~bS&bRN2&;KzP3E*8< z%}Xa+v|`6#qzFe$%-mv^Sqq-wM&~TB=F)w*5NQ$FGw`lCle+%#W7r~=#%mMS&@62|Dc({Dr(XvCDG?EB7Oh>YGVHn?BMiy zaAwhN0O@(3hde!WV~dji%i2G+2zQFbNhHm=t`C;;n7f4t3*Ou1iTcm|fpvFO7-p6YOW5K+^;;+E;_2mm@ec(xevFD1%Zwvda~IyM!d$}E86nt-?-h;1dL<(J z+T7G4w!SZKDks+qmFyF*!)(7iDsvJRMj+n*gzE^S&^k=AGwVEiTb}1Ve}A zfcLoJ9ebDAWo1~*Y9(kCRt6Qf&EkO4fK6UZ}@@{wcx!?E!g z6njX_eg@=c`jT$-MSs?-eI!Ov4Hg9T*-({$U5IYU=0DH8P-pOZR91?Oc_5{FTpZf^Jxi1nYO!R_ zag}%fxgX1_a}jRSJjXI+&7ffbq0y3iw;Iw*-=;@IbcyeO=E86D*Luu|rO`ttH$0K} zJ!Gec=wv^abghauDdG6YT;5g8-EmGU;cveE3Sfd=`W)*|mt*SczN6+`w4$O^X*@RZ zJO40bjVe_(VkAh6|TICcvcp8*-bEpA%Dne^G&9>V zazB;j^Js6kT-&p6JQ_Ew8niO}v9W$p$)~@4UUgKnvl$ii5_1m!d!rz{{kzML0dpu# zyAk)*Px%xaAkKFb5icQQ_f^nYLW8E}k7V;(`gW29M_ILRz$_Ef;r|GyYMM_5HHN@Z;cIq-?k-0^G4z!uCy4 zH$qx?HVWs0a*5)=m)$sYk6LsAz2F2KZ*;<}jZwkc=86m|0Z=R4*RNmy)k0XW+cj(; z&0F&TIWdPmjH8p& z&Mz=0QRm_H&?((6$q_12;M=-iO%&}vUrbbk16WC11b$|wV_(u!IWM22Oe((~(O>yp zT0(N7a$EZe^gL0~Mn$wB#z9g!R z4~xJgvR<)PzS}Byglu03egvHE$}*CNZ#LTT4*4L*C-Rc^K8mxqu|PYmd5bi2rjv-yxxOY?Jk<=mGQ-~0G-lfVpANq$@x z;e^T5`?uDuXSpeaqbU`FX;QVmSZnTa!PGN-(eB(Y7H15%!D#!cpGf}xBSG;KY>NSA zht}OxkP}ojn(06$+lxDyRF&cQcmCFj+lF471mqVlpp(l#KQU8kn^Y22gWM0bDNxq$ zQ;?%~O!qO4-epaHF~054tkq70`YS^SG%3C06DP?4A-^u|_eoaIT4r-`pDJp08MNTr z8z^MM3gG$GGS=>23tTPSae@YytI5pC3^|=!ZYi~?yyI?!WxVGUabJ`X#zq&Qrb@~) zzv%7WM!0oTdM6VFbq*ROFuCCKdsnb!0vNfZ43kQgZVu`s=K~*AmzZ$?A zp5Bp+^yEH95;$kzuL!u!gcipVSUys9pdSx7*S__Z5{`N5_7;e3QCr@-;fZL?WXb(C zDO?Jh15$lE2ibcqaB>nkZq)S_B=RSB8T4|6GFP}HT-TQF@8#{6=p}5^YY{X7@%ZqST=6V9fom;L6B{2VT-$n*di}!R&8LD^5FVk=r zJ2ne@Dn3dbp+Zg-ICjB>ud_|7}x@sIfdT z`7!ngV^YiWUyQenB_jmW_#=K2{N?A5+7xT9wD8@=3AVI?NF5kafAnWpF1lYwEe(nQhHF z$36z zqOBxO3W00jU5*iJBt+vY_4oX!CxaI?GE)SuLGDTFqw)z>wmHBSVHmq zH*w=$Lp1MXKvaZ|F-~^REVnXj3@6v-tC->KAMTjG2RAeGP9k{ufA=gjb8o*#TD>o9-t-6hs7*IWeFU*#mSc+2Q3?(jwt3oTlv8L z;kX-DGgjpW>*U9Vs4Ulkz2;&HNONonqr0958BlohOxf|_#j(?>%SbXyjZekgEU;zH z+$-Q~TSuT@?+!odsBfNiRnZIc#AR<2014oJWU3-n%MC$GY_!l^?XTnTffK|TZf^R% zZLZa3Tce>hP6Eg2Wv8Ty^uO-RJr0<_+H4Rx3Je5ca|;DzLN$lAfDCFL&WGu}P6jDX z4RY-OF+sJTWC1oilzs;N+2ah@r0&;`J7~1F_5OKc@P5KA*Yg7 z;a_J!&jSWmonPC(Btkdee9^%iOV$G>qEEd~qgQ6JEe&><2BB`L=#gn6nN{Zd`_eW$ z@UyUzLBbhDa&+0XGkqfp`g1MgsQ|go!e|>#r?`v2=d=%o8J3ovx4i;Ad<$`0o?sQy z1r(i>{^-w79_3IgQ2zYf;jBNZlKxy@T>E z;f!s7hcWkiClE)gzS+Lpk1@&1}dxUCS<4%nx!F!?)vz_nN3_`Tzf?ywf3y*p7v zbQb(Ml1b?kca@1x5n45rvw~Lt=-tcfSHpUcwL|D~deCf^QPytPid8Q*n~iuiSJwM( z$r?WxyvG$JYddw?S~8@dRXnjyIjPbiGjN&%T%MtnfWZ2_CzfIMw(fBkAQk0fj%tRU z*r2TQviE`OmarE}hIXzHR`O)*of#{dt$*jtAid#sPN9Nd%m@OBj#LL<1(6wBC_nP+)$VzJws*gAoW%|`e z)r04WT@(>D?o?%7=@JOT}s)2_ax>3R1+-yy2#O`CG`$cL1g z*%S2M3?;_nUq2)rwsWRc+IY(72twisYhYnp!MPLLzt zAmr02bc&OAyOhp#|J6w1S6I~5%RO^9z9XU0${ub~UtU|kF$PIHD{s>La%z0PG)IX& zx>|#JIi1wJ`M5ke?%!^)=Jsuj;V{@uK!9VZJN>JhRKahgm%Kp_a$fjOO3NFBos-~% z2f!Q;>{05ywAPP}B%{h>65{uCus?4hL575UODAsna~iTLK>0hn8{xBrB`9}0wXrL< zLQ9JgPUvV8bH;sin%!&?U3FZ+-6@43;Y0c`rQe_>UX`T;6cZ>hj;32r2k$)KzvPBQ z^lPPZ_9oGZhBZlFVYw5rh{->%(Brl39A^`?tqimxPe!??c~4HoBuaVi^OaN60Z~r^ z54&>Sp9DLO^{y^jjCxJZQPXa|Vob6i8V|VrdR^=n4Q2mx&1VY_k27#?N_}toi|MA@ zYiW$@kMUt;s7+)HyP%IY7sDdqbhip^f{G<>6jGX)3f z|8omr^56g+(Q}60Y*cN3a-V)yGiP6|w-$FtlLyX_!Du$R8cE*Saz7O030unAu!2}j zpXhn9rH_ebbLf5xwQht_!g7v@d1s`2s-WYrC9;zJb6B{vqwz5v*e!;2sp8ApfpH=QSu(sM$$TT@ni`GKJ>JXThX-_Mj| z=2l^ZHkHY03{NuXAVa}ZU(*j|jBK5dyu1q)YmW8cBl4(m($|r;bI%F_o*{X9 z@8fIzZ#T7zqVUH#>kpV`>{`F&1_J{0c}uOFbL)=xzB@Adgc~K81q*3t6@-oUBrCqR zCw?AqF*_LwWDU=To8W7oTn$~bUH1RXQ__#&k}`^;$bdCLsXjBa=@d&=pOoBP)YPno z2&b6>9q8-GnF;qi2Vwfw5u#xnbYNGOIK&Xbu(7ix(HK>YgzE8;r>ri&g-1E2Wvyrw zkt_50;Qai69Rc~r9+)OrY=4vS!TE*O5$A!tyn zB62x^L*(mfmK->Jd4e(Hx+d4N0uu)>4BIn4go)Y70ux)?wVF*juwG`_d+TPctJK$MV2;M6$htN0>qqvGgim|UL043_okz;K|XCb3|lIYji>vm=w zBty`RJ}17z$-^E~*DEv&?-m=EGF*akW3tseHk|x$jpoze4Z{qxYCEy0SN=X9@1Reay-U|IUV^6vUO1k z$SKi+5J*r|C4HKeMro)QKeKM2=!Sc!e79S7?bk8JuBTZVZiG*01ER3NLtb+w-1>H; zwdf}En*;iV<4@BRq(L+-g_j$T%fwNxqs;R^0`0l~TmyJhLIz-9w1im2s!yCC=ZO-? zU}f#wJZyEoz}Rk)KcnFiW?N{%6imfwxhwoqK!hZGPl6J!$A{bd(`7k3t|@cAXa7?< zawZXc8;h{BVXp5(c-0dOOYvSIuF3;isb1_yujY5XKsZSBg~wxjcgL9ifM2h^`P|l( zIJ!}jar^_mH9e2>LG={@gjUWj$E^cM!W7~A0cxzM30)%iJf^jWy$)%`&UnxEX}P51 zB&_tp3ux)L%8pkrjspzKQYfoUgk_Qx^AQ2tb4ht=DX@UQS}()%SX9*SS$#aLQIOFD z>-1I=CWg)wO%T3Q@lFD##OkU5S7i+E5>3~+-pCggG_pPzs-^?uacqUxgb~TO3MAT4 zco|GbNrCn?4MFCPmsla2%)deczlvb5vO_ykZPaRi^llV~lzN80!!bc&g+W#;R|~l_ zq@E8aw2Q+-W1{KtImfNXR?_r2+fJ)dw=z}WIik=+)JZ899uhJX4Fu~0P1Te@z+sYF zE+M*;+H}9woO$Huag39b^MG!bQ4G_Ed-XEavCYT;eFoAM*oNouCC0#y1?XYtqIzVO zk6(9GTb$?0w*>dSZ6UNnEZIfxz&__|?=perJ;4&TU*!kI$SbZLy##j&ECDo(flR;} z$9U{VwjB6}jI|=ZZPe>Y0|tU%W!X13rUW6l2}aY9mXyCJonPWI9trSy*h6W0f_fO8 zqyz;(vK?~pNP+1Zb3Jrn3EC0>auf!4m$@3Pks1OQNy2E3_Z^krF6_N}&#`nv9wc!y zEI=PQaD$PD#|v24jniRW?!8Bnk{L8My9CCFq#Nei|Adew4Bvol4XnWpU%ixX0tZJhp)vrS(o=-a>5_2eil;VLP2qR!FL zg8G0(`9bk5lr?J0=Qk{TCl&`t`5lfO1(i#~S-=Mjr5MgUiGbcBnF%-cB3zt7u@1_> z?aHc{PgqRXESHbxMZK{a-{?#v#0_e&cCkh&s25qZ)x$L2wmHocqttbiVdT~YS!FYE z&mc>G8Wcq^_ zzF8YbHXM01PIq1f{?q{PQC5p82%o|D74h9%p&3wCSV1vk<9i*&=;D#9(z4@Vpeu^! zJiD!(q+x6w(n!zQ--=6DtqiI4B&5PXSW;OU-GGy$qT;RJT3P1sHmowh#UXo_X!j(a z2sQtd9ZfbZ!*;F2~vs+8kEI;-cyQwNt~s zRn5PmRs2+f8s<>lOj5Qw8{GcjB9JvVN#dZVDV6Y!7$x36WpVld(}fT^IquYk1)Q3? z;{bnrSxPxyl=P3a#;U3pn?ks`6%wFNCb7Y&4GYw@=}~N;h@d^58Q2oE*M zwH$bGAT-<)P24~^KrvgK1HgpVv8C40FO=WN*}a(KU&8seBoTdryW>1fAk z`uKF>3sqHVs8kU?^Z+_gEAnkKg(WccjE0^HNZ9X??WB7N8Ox-8t9AJH4rk&9thwoi z@gBaD=T1`P2Ba+gb@zIMAP5^0g4Bp#k$-*89x^(XjvDSte-N=&p_vRPZe_*1xVZR5 zRvs-Tr?L`fV>eH#fA` z@D3nYI2={>Z~pqO*tOXkxwEHd--(#QZI$HB=E?Y5DKmz5)m<{FSxedLGe+owq}UIp zU#&=@S54=YAEGL9y^`q!stpHp&kF&~j)Jw%1zqZg1H>>$O0?<~MP|$Ouw(O`o=yRx zP_o+tz+ZVA1CWKZeXeI58O6Bn0FqVrKRClEhF>}qej?89_uL^sC6Unwc!cf%P17ED z<^1}EAd-n4NyyrT$-7J)6o^8mTTZmqAKU-u$A_I;0!iXbzn4aG-F?)~3PKcGA@h*; z$#=(@<*kHkBdBi@R(!r=UTP+HAK5_YfU2HfM>HvdZfpPnh4TI%Yta}5WcnwC=JcSq zf2LU7XlE#~$}KA^3x@u?>ty74w0<_*FO094G}+`J=|+bS+Gkq#cLgkoVJb|fX1@K??A$$j)d#wG(+U@OCg zF%?4vzox{WZ5_f5uK6I#8z#oLpA}?3%vwLt&poGo*}c-3LeA%XXCFn%jrN^EDaq|> zVPT=l>orF3M9kN>t%dF2AKEZ?1VurlB}d625*GrO`=eme8UqwSIDks^o?ampA%BWV zw7fZ_CobS7i^@aYC%SLW4!lyGoO}QLSfe*d#XF4R#+CgyT~Oumif;c-4IR3XY4=E8 zq7%K?&vrN1U2Fea=wi0oo97^-5u-FyBotbHnJl`j8yj=Vcg{k>g&>)NbD33VJ$Cc1 z0%_@+PPH;nD#Dy&>$V(&bm~YA!mM4ee%YWQwKUit&#syv3J@3iE&qd-?A2sAY2zQI zbdVvFMO23CAcw)=Qx3BDbT|#HgU^QvuL|yow2ITV#~~UN&K_#t**cMOLBJc}khM=? z2P%-Q6ZHlGs?8JFRe(jU03OGG-e)(3|AR3|6 zDlUQ+(}*un3_rV?YtntHbD#LsR%s6QZC%&m#s1wTa=}lR!9dzORmM|7WiHjz;#J-( zGAlq_bM_IeLxhfqgW0!doi2O`Km8NnmI5?UZ2SA2tvjgc8ApG7Kn5(Nd%ZIVVsncpNHD3iqbN*J z7l3ClbQ*Fb+doVhXxD2x0t@)XHeXc4uxCWi;kwuboBM5*l#8Jaa=*8Ri>L8co$~JLex);s zo&4v?=DxRz+b3SBM;7BG@&khVEXQ68GwPpnNNW7{bQcfLZ;=?hT|^+wMnM$Z`_DIi zkZ@?zJF5%hs|;V!E6t_FsitX3YSNbx12GVd7}shJ4pDSd1AQoBk4`fReAh0LZV4^O z1z;*a8sKKTw|NZEu(M-JhGK{V{Gy$?f8@weSaI*NJIc-66#0L|>EX<&?*?LLPJ)9HPbx?j!&NJnaJ4&ZD+(o;GEU=9ygL5zXm?&@D z2dH(y?13ma0NrhD%>*hNa^;j^QoX)b@ev(dFx_~ zxun$ma{0!s)oQncM?aq26Eqj(VpRjWV2WB0y-`$gw7>{CHysE%jkxAm@D(ZV$b#(D zvIKQ5l>xPc$rWMLmBh%tY|6D?M&DT6?~8M_IC7`1wqY7L?3K;zP&u;EQec|j>kE`T z_jigs!5lL?zvt+YFpO%vwEOZ$kV7Ey8@G7`iyhOn8hZLFij#%edUdQ2N}G!l&Uy1X zv0HFS?)KXll^38G&5VDMEcrQKSaP=j8_}k?Mh~{F2ok!Q;aA{lKcMuOrqrLMxd;rKvK8G$g|7G(dJ_>`?ZIW*%wv z59nB6Vw?Tq@%-m#Pz)^|khJ>LyXZ!O1icA%fA0Cq-6K|ksb!Z12J5I(p&9+2K( z^n}uSF}H>0gLm;pZ96!s0{Ob)A(!J`V%+Pw!o8aj%PgDGSW34e*qTaz=HQR5s51p+ z4;<_@Mfm$KpbrP))V`B>phlU2H{y$9zk zWzdvPy_iM)tqsFMI?kRu3A~yhb~a2@dK*E@%JP4WePviwQQNL`4P8T*z|aFI-Klhl zAe|B-DJ?BClpvBygGfn((nCt8A{_%Lh_o~aXYsz@cb#A7x{m*G?^$cFc<$#82*IyH z)N+DIIspz7xrFHz{J!s<*CPs>#Vs}zMI4gImG&STUIC-~vY^0VxD^Iz*9;_zW_x@3 zZc3UcX9pSJbH9EcOP#}Ov?ZsuIl-6pT27IB@QQ}Y|EPZ#zk6;sGQSrmxP{>fIhLzF z2S2&&uqgoM3dZA}4@8>2iT)-cSRm`bAgYFoxki(TbwY(3@qC3BtDtg%4blDA#pCIb zk5l5H#IZl@Qy$6FP;50Tvi-9+4Dh^ruIl;F z%KhIqr@hubcs4K2$-JBBpfKl|uL)C_oxyM#>azDa-Czny$1ITyOBR*DRY8Eu0zykQ z+AA6EXie%C#N9=Q#kI0!a=2qqGF=eQ_VLEEL@B60Kh{L+1a?HUVOuSa7u@=o$`ATx znI@uQ083e!$hJcMB#i9%-u&4?wk$RdPT9u|IGJmAvQV)#t4~5vKBpc4PBC zrIs7@5aAd3G*nj-(lE}OJf>)j>5J@BC6u0EAkH@Igf8h12ICG}#+=Ofm->Mm{GjjH zW<7aPL`+)w8H|Pp|8d%sC7 z!R;!t zpJGs{^rW9O)Pf_|c4 zs>BAbxvM{c!xDAb=Vvdu_$sTQVdCh=_v>3!!e9wA6VfTK4Ny2ya#*z%!%VS`YA@Ee{4XYtw8ubYj37;$T5B!d zU>mHF8}x{*Yi;Z}6eD>Z68=dcxooGoL?;oCDDEJyJHn*(v)Pbd!3LXp#V3zf#MLpW z)ZzH?*YFo|@{AZvgUTdS$WQ&J3`sjNoxcb=XV6&n@XlbSx5;ZA&YQBq&1v{SA$B%k z+CUEuYc%L7bA-)qr_Q@Sd0D0lpF;2SUN;2YBi}uK+kRHnjU8J5w}V3iB8*aW#pOis zt$QEnmdW-^>MK7&%Apw{#~b-5A)+ECHLA~1Htt6qGvl!tGx)LM4+xTizb9?_^f7^Y z66_T=CuM3^=kLziu#DbnnX?lg%kV^+JkSg7@L45)3Tg z=GxwPuSTU|n|=yDJ|*D{OjFit(UE)l8}wM2D?X5;FQG<`~eq#cT$}np2yW z!?6oljq7Vaqpc^P?7VGQU0-d>e6ROZ6LLskxDe{((e~>k+gd7ew}~X+PEWUONGfJ{ zS~ePbKAImpV)#%hx6eB9ov@5av|_vKk&l`FLZz~09Lo<}+M{Fb>~OY7YRi3EDhrQr z-eZ0+O(yyqZ)LGlwV92SQ`%2HPp__idY7?%p*Qsc#fQ-9k-EUP?mDm?i*>%G=G23ceg#}fyD+9_FhCtXAT zIT1VAjFOZ9nMx==_7jXe_H_m4afA|zK+AxIQbtBA4xbQ`MV$EF z9oZ0^UG^GPuFeuq=hi+=7US?9s~ZQpI;3coNL;iNxc&v#=GlvGy=DHy8JcGzJ-_t3 ze+`GTNt*>b+`fK7=&(ur25PZHL#4E|syFIymKFN$4Idmq+2Zo+=k=PWfCNOnUeuQ7 zOOt z&@sO@fm1WN5Z}OA(-?&T8b8t+wL#bRJOw!`_g;Bg47e_AopY;U(3TRA5ndh!ySh3Y&(_%NJJA7LuG zVE>{k$*hfFXwx;X59hgwGDb?v`=8s+>~l?u0g?ZMdoA#bx^n4+6|Dcf_i7)Rb$$ll zKtU(rhUE`;W#^A;V1aaX)<3*w!kip?uotdp{~7Vffv>tdZ#v&yF%5jS=@?JsWU_7; z1&QS&%ym~!Xl9JstRqrou~no~-A9m%uEs^TI9xbekq&_NBr|;UvocU5?(eI*L$llcxqoDH&k9$CGL-R84t>Si0%Jk8 z4XNVW8YnSr41K5^E1xWgP-aZ^uUrW|v-tCG9B*+;V~b&DH2_yd+Ey$>-<~h_lEMOj z$(zPx%TIDtZ2LMH22mXXjSL*-R%LTX!mTy}@#cXK>Mcl;l`BP}0rxL^b4WqKlUgn6ab{GaLBCFx8~FP51dS}tEzDD#*uKXHA~We z#)}sBOOaJo#}BnF2`cq^S;;g;DihGe&{54HR>R_^F&Lv;bLvwbRrh>&779D5m~xo} zra<_9nSp95W_gYZi(ubNBf6HWHM>Mx1s5jp(w?07O~rdv7+Xb$y7olTJd zvjvNmpm++lK~AQ z$_!qD22W@8r0a3K({#*;pf0}&5^pDQrSZfuKkmST#Y`eh#64(1+>%Yhw=hnv`-865 z9v$egK={^7xOZ}18sdMU8R=;VHxvGG!}Ma}P4nB?qY3=L-xYHVxq#W11aEj*7D#j3 zx`Ee!C%_uJmuF!;*#}>keC2q^(p_aS=Hl10V=AC~K5u}dRlP3|y@|I92MxTt+-XcC z{9Yv#6A9FrSdHV745C?IY*jA#1@KfrN7f)}nMgAwR9q#K+LUO5yCw0z?Idl6K@KzL z4GjTBnbaHXQBqlq%%J45qUSt&C6TYg!#43E|Kf7HUWWk!j4Cn_hCbq+t7KFr3x%1) zS8b=;n#}V<3o(46KKD@(*f>3Y2kwpd*fBC^ap8G!YR7|$a;F@5&!KBC&}rN0o~kP$ zn{C==N`aYLlP)mLA1)x{aF#%#)aHimKy zqe*H*9vb^%grlTu0=j+;S|cSbC|4`+w=<@+KfrY;#FieH+Q zS~&PN6+@rZfKF7USCFK}PElD3)OFEUQPna{W?P7Crb1#R~qp#CV*nBJi zTV*Y-kNZVbc!xqY(V+Kpn6C(#J$;;9?7uoO8=a~aPuHQf>Q@$9gg!{}%Ew?+^4_ud z{3S3=0yJpzI^5JyN-ezlTpsisjUqRq3l6P#MI*~)rdvA7@5Q-ZJiV`9Ks_4^zZY7< z%Si%y#booed!l&?sjx-uVYj}ZrY~s79wiL_@w592fsNej>RtWfp4@ta=9k9Xq;+fu zLvwWaz7yZWab%`hN2oKDCHR5_nMD`E2v3zZ3*QB4dCExSDHAkKhKVFg9Q<98!z(xV zPm9?yKrH@O2)6UXp4Q+j;zrp&JXd@tWVOKyffCHyNpOuwx!X=zzz>;terTyiOfP7B z_k>_`$5-ibYH%0ReCjOxXy%!BL%FHUY@{hGph<+~;HJa>VfbEwHFmAmld=>O@axgl zNkt2ZtlH6wxJVPzeW!DV#?DaLZOc*WXz^hFSW7NEtt^uVbZS-K?92}&Odta_fv+p( z+{ns_)lLTWIW-(md?w*|uB0m~KaBI@u#E(I%~&$5e=IS^h{Sx`?%BUWi$L#UwPX54 z>Q{AtXb&h;DTVbxzY+y6b)aO$t@A>8UVz_|ABfiqS8bZ0bfBqO(9813;0LYkNJ}E@ zRdcM&cNSTtUq2+GA8bgqrg#gTxV@wc#0~$T_hadfG%2(gA}Zkr*Qldtu{cNrfA#GR z1>T@{<4+gf(&~$Y+$=wjOtc*2_+?)OGC7)ayN@i#S%L0Xo*dpl%+^2zpe+!?yz=Dz z1hnX|D%@J%1j*~1%96IAbfyeM=*l<##E2jzetMhs-uo}>ZG zBb{28DE$dB-EuTxg#G=Gg-<}^Db!Z9!2XF_BiIF*CG7nPhRs7V>QB7tSKKzfHNwu| zTFfVecU#Db%PB+V81!2irT0ya`2(u&&ts|T5RuRiT1MD&sI3c@nS>krq}$bQh(bB8 zM~PCtZ)1>N%$)@m98J&9GT0IJl^7g?Q&zcH`!`lFg*M^9i?tnrM)@06^BG^h7i?8! zMUR9bG4d->CB@o2nV2m+=f8#lcPIZK*lR*Mx15;bw&1(!!fEXDr%gCS5i4f|trZub zb9}+_kaeJ|gXh~T8DzON-Uk#kdr>;Lk99t;KD#}GQsb910rOuiL~U5l!eFN~4~)QR zk^FR8tRP3viLYm~YoaX0{A_SunJdzgIVP)DJ9c%{CVIu`lJKS8OHz_&K}lw$#o-Ik zH|}7Q)W4v!gqx4DJy3&SFIv0qF+N)NoMFvjM8K~zZv@?bEGJGruE}~c8Lk|p$&1iW zjh-A6#!7fNX9>rRa2w}dPN<=70?OHeyf~ZMI-KRyh3GYlv2OC!x#JhB(XaF=*2~B= zba8%QGLHYbW27Mm9dG#+P=s~IG4Fs1T) zV?Cc+xk`8GX*ysKYHemBZ5(ur3U+;+EM>19Tktk;a}lC5c`iJQ&;s&DP*=EzEnCq$ zb4|g7?a&XroZRhO%`q9~XP2e_{H?x?xL)92KdQcSs#?{T(eYA{d-zW93!02Gje>ik zO)o?=YBhi>131hIBa!KO_xj2->bZN&!`pUz{Hs?~&B+__((Y^!+Q+ubiO0*tyq%1m zvhJ1pdD-z)V|QQ!{2d&&~Y4{n?EJj1*x zve*N1;)w7(hM35NkHkC?-v%8FTa>Hf@@Lk2rLnBKm)pJ+^q_Ps^0jP9@Zk5#f&Rc? zxd-h2$&2c#Z)pM7alYK0`GVHVF4dxFI^wUhVFBUl-#V$aw1LK33oG>e%#4{g^(MoeJrfr^c^UR~}_+d&59rmVrh&RniB~0;d znoU(cOz-atVwrN8+Ke`1F~UUHt4=qCdr;MH!(8>j6I?^RD1Lz9>+S|d3xomahOQUIjN9|mo6#aQTS_~4tLY>lcLbYtcXWMB}sK+b>ZIfMZsQg zFu4nHXG1@yP!nwvdU;(PrFoIRKF#UmUx?atbUan9!qI^09nHuhc&;q#HuwQS@N`k?IsPvSU^9xUVY}N9>LTz7;+E z%8|nJ_@@S6F1m8Pg#3nh)c0ZM>Bauob(GR7n#1W)oHp0(NDwk@` z)OYU*ZzEMn;8dTwd;1awZ=a{~k(4C+w+!6J_Hdq6l6l^Ut1RoCALn+ti+BLtayA|l zF|6jq-y;;N#dR3Se-$l_X{WP6$dzr$or`?0RNKng_W+M~v{K=~vlst6uHHY7`?lx| zMkzAIypvhelx#~}t0GcdBt}J@nSOvKr>WdCMgFdV)(b22G)2Q&vdx%{#Z(YR)ZE?#-Q_$C9;?1~K5ctF&sJGMGoVRlF2XRcnEZpUy%@Ha6!t0P@ z^I1$r|A=wawVfym9eAMgp^|JTixQXWk4QOE`(FQj-KmZr)3|LT2&CjAZ3V%VK!zz>88HYAdJ3X^j|!tNdB zE@`p^X$C|up9MSJR9YbL+LE-D{3Po4@}X};6##$#<~V4EV2y7a1+Uxns(o#fl`6_| zQ@5P>&wQ`OILtRrlu=0^UPn?#VKy&?kY3MjaV%Ari|{dJ9iO?F)$=kSP#R%_W~-(A z`>geYXjE9IDMI0h%Y^Tf7nD_xNntmn2_{{rbppp{_t+E&q`E3lNE2|Np}Hx9CMDn> zl8)Zktg`LMAqT<@k=bP$rBRn;J)QCAMvZ4hQDrGhpf#|NA&Yf+E+5I$x9SZ(qO|omczeU+(UW1H{6qW`L$CbL#!UkF;r*7BRfk>u2tvWg@@y}!g@Ln z!K&|r)ZkxaWWhJj#8gW=pVp(R+mS`~P_i?PxJbrK0`&yJ$bmOGp^I%J%;wpb%*>O^ zueKk%iKr|V3u(b!B{>pcF~oyRchl)V0z(1`_?FM@Js~!m#wb}X0p{BCH(}nhV9&us zxuPtsBtUPV4E|fe%?^M|2)>9<81Z7%SVxSjZYw9G*gVMceZpNIU3U z$6cBV>3aJb6S%-F&V8h00(8IwOoI6`C6MP}AX<4-k? zL{i+_zLj6E$A354v2o&g;!lCiwdYMMTN&4_rfYm=DL}$iCFVq}n3v*1Vs9jhcKB;> zBZ0$p!|H>3K2b2q^=Ixz0cuF_s~+dvC+#DZVt%R|NbDd?cK6LUmmZ$vK#som8Fb%m zlk>Z?QZsh_AsYcKh|cALN;1xL*PV(oGJvOQe6qu1jsr&v@D&0NooSCG^c=75adm!a zxE#>P?JKGl@T=N5?5(Me#H#{5h16(@;`BmVL8xE2uX1Y02sikJzkQ_4J=ftWJ9a@2yfPdrw#_{Zex!Y2 z!}@>%nZV!sA>_R5`#)TVfCKZ+!n49Z7%8~C!2F1(7^RaH)UTir!xo6A!{qCt!Q$R3 z3LaO`VUrX@IWw{-?a4bv)m3xi;6D+<@b$%TgdmN+akPP^d=(J_iu?i-PN4IEd`!{N zFFNW`cyqTWc#Mrh1FW>Sqp@!A?>`b4vZ_|xx))&{6~HB{wA9Z`;FDA#FM01+-hyJI z^%agYiWbmdDF#FsJpKu(vn{u843UuzyZ1u+1SGmH#f}uy!S`a3R?X7A-3AD#ay^}< zp>(ITO{WUYK$s^oD@Iu<75EB**HV~Ugmnv1tcAx}`xzdUU)gu*i|~@jBpIa1SO!owVay-2LFflQf4VEYk#k^>^t6jmpKd ze-f<{?q`hL-|%~Rmh8LpvuOVM)O3=pb6Ngq?UVS+#&s5Y@kp@~MSlvu?6%pN^LI{Tim8{KwYIm$I3jmjdCR}h34PzHul46yPjRXZc31YXl^fyO))?m52#ivP<$0G;F7AG( zsgEa7NQKKyJFa<66&(lBvBXbmmLH#0YHE2RGV8-U2Om&gUng1pP;H=M?TR{k0^Ucm zGSJ!74PSZSx31mIE6?7wM?C)yQd2*0oeuTU1)VOU8Co9Fc3&sB$YkF@bzDO+r35*( zq}s9q&1(~J`iL)`8=swGbrTV1EDVJ`{D~Vc_@l6SZQ~|{vf)`DMA)X}q^XZoG#^gn zbkaM%`P#-KocZ!d%-Xu0`8Wq=X+rV!U~Yp%NMkv@Awzw9>@h&JWR)S*+sn^FuiSd} z9%(-XzBC5x_*tPVtXjWOJ8cAq+HB_UFX=vJ?taCdE>-}}SEcqEQ5ff9Ogb+Ixc4rI z>Ng5Hm(vD+z(W4U(xL*U__{kERCKafxhT9-MiMRmwJV{496k@^caODxkk3qu+Uw&R zQo=8GmSc=R+unNku6#j1K|bN!?(4A{*b9V(?e`NokQ~d`YcZw;-5t&lbn0aBKKF8= z$3>Zxke)`Vr)o`!Tm(u>#FPA>fQ_!wNcnR^yw>hi{N{W_)RDhm9n?x7y#y#VFSw{jD!! ze|*7ugWI*&c6`7l%$qwy_;U{{%2%^a{8dfm{a7{}+!X0!=o43k7-eLGsf85%xG6EX z^Xie(y%(oKF&)guXO(vu8@&}}I6hmH`{%KKhhujnm^mH6qL}7b*sL+2^NEYB4a4>X zB?NJGN-TKN(k(PRiS`D5D09$Gk)4Ct3;5S`AHn;+qNQ^m^=lQ8cf~#i5>+`rc%B_K`RK^^S1L%s20+Ha7PVu66(?_hG4dztS9B zrQF`I@i|HNDe(5l>v!&KL(#|oi?k~FM!;hPysnGK_H8DC9NUVav%XKZ(arZxAL)Ht zlpHSOWfrZv%v!Hy5w3Zy?#B4|bS8U7c^YkO%T==FiOoW!o4F`oSSCr$pb>V&55d)@ zUd1f&&Unk&z!a&Y#$O6VA%DwA|9Sar=1#ZGTXV;mL-jhCh)Of*Uf?z{pvSNB%eek- z{@2~+izzivY4Bx<@6ee$>!v=ihAqC&N1L8bWk+&VhHx5Vnmg4qZ#Xrgo0nzvEfF!z?DKm{NxAtM&AJJacpI-}g$la?O!-E`wW%ZgW?b&$-a)2{v|Y5? zcwdUZbS&i#kMJXpZ`a~B50=P`lAC}jh4zHr%BJ+4ItwE*ha3#JFv&PGB_3_I+|`S1 zRn29s0S>o~U?OK+ht;Kq%3lv?qR;%3zC@tr>1jhC2UzwuefiuTQ(3E%&oU%cAG#$84~7az`=8bkR8ml^wN zbvX>(_m?DEr1RCu)8qJ(KU^tV{WBFYeuz+x-`3ka9T~|D+*y9w@9bVI5=xS2eK%75 z%x+#ktqL3E1ub<>+=v&}Ls%i6)Os@JMr1|u$mOV5$npb3v*1uh6vHWs9KhD)^mFuB zip?Hr7>=zZ_QoZI1xMm!Gyw9xRMDMmvK#GPuN_zzcL83)lQDJJ5{FznKOSB_NWs7j zm;>^Z9qCWYHWD`b1Q0A~uo~TZp5P^q>Ejd}iB&hePwsX?s!_#v6j2I|oOu&AM^t@y zVOM|W(gFgJjg_V|nB)7t)K&Xh%!vIWX_I&}_Ztf-5un=)1n`G9=Z!v?&G zAA*dbY~19#>|hKY%UKfP7(YX^nt?$`XG9T2g(UKlV?2#~f(QpU6r#dSfg(Y0H2QTX z;v}@tdZd+sL9mHNOiX7L0@PUrdUm{Gwe~5=v6Oy}8iM`Kx(Dz?a2~gN8eE_)vFm5Q zAC{i|ossXhUm;0ri413@j20#B`SI28Mz^JCHIut2J=`)qQ0<*Yaa-SOLB`jAPTO*l z@lSzM*+()vXLd5J7Dl+|JDQ?Ix#v^WBAZY7g`GWY2UHfMb{?;r%n&tm1M{<(3CMPN zR79{K_DqqQa~J)gO=Gs1uVY!r?7#ifhoS0Cg}|k3*Os;a9&p?#HD!ec*V0s+kLmul zVW0Vv8q-r6HNEF2i}*$Q^RUaUgNBXrNnN;d70%bJNl8=~tXJE`{m~fAFxmp&eeQ-U zo`=5B#YqScVcqz3P4L=mdQbnB~LMX4E?SJ&$vn=HENpugg!H=#eL~kEZl=fth3OAWL3UM3B@MsizdhRBuT+4jU&~E23>8 zLUqoIx9J`{1$@m65eGu^%J0mdf$Au??k6Vlh87z9_JpBpO_}HZIuf)08#9owaw!Mb zU9O%uf3aJ(ygWIBE8eB(WJ5AWc&>f5nX7k}0LdczqtbgN<~mFwUQM~EK7O3mI$u>@uFOi-0SNV^b+hryH`k}N!lBpa8xDzG9Ema! zAVFv~#Zad+OVV4rM2>?Qup#I-L;_5_(Kq_@Qs*0AT3i<*(4BGa&uvV9MAk zzqQpIfdm;UgL!XYz%tXDOMoicE}682r2pc#kgUE4-TIE+7%VmVc`@mZH>`5`G%#gO z)9Crj7+eboaqGoad99|^0y?fGXkrRw+e^rATL0jLJ(}&#gfg%;`?-N%P(w?6k(Lv3 z;oJ&*fkaH8ud}^tR65AewxZaFyb_LanKuT&L|F-xdfi$UwSx8*nh|A6L6Mhyw9B4u03Oj=2I1{=!Lm5FGr1 z{N<~cqJS&Ua25LRk5z5D^~n4ChnLSKJ@tke`iF*+$9hi}W_!AGp7xIn-HfS*{*yPl zJBK0s?TbCtn{PxVR+wk=-*F1ot)o@IJp0?gxUuMXM zwnHExC>Efa_`t|jZNl$$9iEZMiWv^&B10?i8(sm*u>)xjSOG}D&3*|!zL|RG zK@Ck!VGsc#S*n+UBxc|Wg6K%^+?%zIdl+uJnv0Khetz!t3H9NF3WA`<{s7S6)4U-n z_+-nDK>7lQN}cwS4z&!SKZ{9{A`{o zdr(g#qus$5dWY8$Y@$7vtvB{riBd)d_9>17-5f~y2(|#_Rk?sSpA)_Dola+o!oOK< znWs4o8Ke)xjNPveJ5pz<4q4BnTvfB79Onw+U>u1?pm~fA*V`y7Z9dLLa zCO?~hg+hP*=cd)qjP?E2oH&>e7sIiQ2qLX^IbxeGz=?2j!S$b)CQ9+h)a8@0>!B+{ zyrl-4dezl+$HW(`OUn=cd^vr8!5z3P_z@w`kG)#oQ>Y(dY6;}V&VO7)fa5xIKNYN= zm%VzY-f5V4H$-PYvBEgbj3|0_g&`i$kY;bj-b8#m+q!%+(ne|yLN$0+5&kuw{utdc z-^wdw*yQMOgUW$HUR%RYm;A8Rs$omS-@cs08?Aq&wE@a+41nG7#%6=~dcHa)w;YL< z1QFb;fVNj%5f--Kp_dA?{7Rdc&P|;o{mXnNKKt^@a0?jJ=5YFo@iRgggBd(}v}N$Z zSJ{{65v?7%r)kAG94EmNt;=Ztl{a|nF;TX~@*1)bY$_Jpsm>nxJC5zd5J?L7!ESh9 z0vmnj9nElFeci3}MN(t!CJi0t`poUJGy@QI(Q90F&~b2zg=YayMt-A*0GEhVekA)G zq*kEQoWHE3M~0NTz*2!D@YQUC^p{fFJE0ehFlK^HiSxMTWovh2pxWYyjn~SU-3>ny zAF)A-R2-%)Na+J8hM@$$#F~-yp1gMeyH87qK&G{Db$Xt3OcSQz;K!9TEVm>|Jf1e7 z_p_B83bQiD$-3az6MJk#u_O7cA8GSsL8GN*-NehIvysT-@3pwyO)SU{c|;Em${tEe z$R*32tZPE})^u3sCqc5EcWp;mtx6{tmjEd-NDtwn4Q)H6gY%y{NDwUa@UkM9A^yEYJotd zyX>vgbiK*8M58f5m+&>o4xuMWIF#n>+l;)8$r3zc_E|bOuV76LpRks$B3BO69Sk_tF!0^Z zactw3^Cs!-!usBEjP^t#WuisZa@e{t$dM43kF#H>hxi@Mr+0Fnp*!Zmy!>-|5`rVh z)30VUQ{f_#KGSqC6W+Iagf1Rx!_f*%ZdL*be!mMmIrj&SI}k!r8?@2Y3Ll(3s8(-c zy=tfwjgkXg)ff=#B%P|1f?Yk6F=c6+#bA_!RX94nR!Ijz9=BpO{`rnGXwMc&5Guge zxA8HfY=F@=2>p;V+2bgz(9>yIIjJ{5ydDeq@P{bLbo-m&?&tO3Qg)i>6p2T-)Fs7o}u-W5P^0bcg?BG zjf;*P?wkC4)hVi$6>f*i%rW$zu!G;a5Kh-KLX!)r>MQMzZi_!6BZqI4k@`w<$&gvVi9~s}B)Ki!k>x>SDAWL3Wg#h9exnlM3g*G9tJw_#W}xPo2?( zS4`j2`XftBsmbLvb;pMf#Bn^p-*3Q7&Bd}>BKR)!ds{WH{?HQ@)A%6${a^K-bp>Jl z{WHbBp&djouCfX+hYoYnM6*_3C|mE|NJWMhC-G5Eszgr3bPo}c>x84(g!xzQNdwvt zDaoIp44GiPl$byYER2cIul^|FS z(hO?)dZy*2dpsXKQs!Asv(hbXIoelcLHj~Fj9!3jI3Q1y(F4;~gAl59Ha|{qwqOjr zkC2<>&-oZ~j^A1Jx3Lignn3G&)Reg1gyRhUZ zkrPg{|29m*Di7e{-G7m5jf#B(Ye-4)uv@QlC*znqlbJzN!>6Q-ECw^j8mg`WZ?;~HCnUd zid*{2gO4AMoE0T2hyA*kPDYZe9r0QV(!OTprJnqBj2$9S!~F-XJ97 zyq(D$Rs^-VkHVsDULbQdFytU>-&>G-NAYp#$tx7qFKf=`(B5b$$>!R2WK0pIgL?ltze$O4ouSR5yucrZ$>0-qvg2qh=KHVq;S#JHBa!Cg3*hyhvaRyK$$TO} z#O|MMo{#cI(n$N~QEEtd!l(`Y76obmfpu|=7|G!D!yax}F91iqepDg+qf>kq1SUqz zK6np&WTk3H%>M7CHW;Iu@Cr`z9GJ#iKmKJyut?CNi$66fgoNfG?L*ntA`VP9%kfq@wPcz70 z+Rq#k@Y%mow#P%2olYxkfF$Efhy;c@`3gT??U0nblxD-moO)3Hg)RFnC_&{1q{bW| zW%X7}34J|hk@*W$AU&-CfA^1V^e>8Dw&%v0@4mp7nO9PTWF3~LIr?-(1^TZq9KDQstpGT$rzWK@xZkVMt zB!1-YNW(Iz|GK=rdDVE%rWD?|#$DhBVmLhg7CifGMzbVM+Fwc%5)zUTM%{`Wm)e5t zE{=X@$OP10Xlam`X_;KjF7(R28*ZG+_@^7oIK~|-PVzy2!NJkd4rrItUZeJxg7$7x zT5nZ@4gtW5^bCY!#uO&X(W^5D++7OTU{Wd6e|hn{SmOF@?PtR`U3n%D(O7Zya^joE z;Q;sAD@vV?+?y-M@6*#m7r-8w5!7N|fHa$BRALRn=shefu~YwTAH*gO1#S^eNR%Tp z{7;knXzUJKu4cA^o}YV1!*=V9IrXn%5Ec;1dtzd%i+;Y*>nxmO0y!)w8a*3hC0~ zoY;A{7VS~dl24yfWQn`dtwLgeRF(yZD?9&=$qQ9IF9qhdI&hiQXpZ$$eqLTBpn7iB zPyrNW49;PPbPGfuODH3UdcrHq<@0jbW1Q#>CMKp@egt8U1q!&~22!_QZ1FLAbYL_d zO={lODuaihd=)^ls1)A1G!GHPnbpqk0PkOqmPKHMAN?7uLjuv;oLrEFcy?SB`g$a@ zi;9M3(DNE($=?0uJU|I4)U|f70{+vlK+F3R9x=9&Y?Yar8D~`f7!Bt2 z?XsgLO`Phey8qFHdX3wnl;k_lV;7wdK!ODhq2BDqdD_>F{?RdE!52qK$3SOpNlAQj zo89PwCCsvdU~qfWjrHuur=&J)TYtqPOmly9ln7&%|7wiH(YUhbpNcPo=XjavBJ>ah zOOBP_qK}A-*86(|#aUjlSJx^kM;wCEcR}Rw$^UP_-2Xc)`F{iI{*zUg1Y*$sH=ypn jS#`G?4@hAqJqy*ppLL?IS4DdV{ClXXqf)749r1qvkLtp} literal 0 HcmV?d00001 From 6d4e01dfd8eb5225f1a45732139d31e317c6266b Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 19:14:26 +0530 Subject: [PATCH 17/27] Update and rename readme.MD to readme.md --- Sugarcane Leaf Disease Detection/readme.MD | 1 - Sugarcane Leaf Disease Detection/readme.md | 102 +++++++++++++++++++++ 2 files changed, 102 insertions(+), 1 deletion(-) delete mode 100644 Sugarcane Leaf Disease Detection/readme.MD create mode 100644 Sugarcane Leaf Disease Detection/readme.md diff --git a/Sugarcane Leaf Disease Detection/readme.MD b/Sugarcane Leaf Disease Detection/readme.MD deleted file mode 100644 index 8b1378917..000000000 --- a/Sugarcane Leaf Disease Detection/readme.MD +++ /dev/null @@ -1 +0,0 @@ - diff --git a/Sugarcane Leaf Disease Detection/readme.md b/Sugarcane Leaf Disease Detection/readme.md new file mode 100644 index 000000000..b32915092 --- /dev/null +++ b/Sugarcane Leaf Disease Detection/readme.md @@ -0,0 +1,102 @@ + +#

Sugarcane Leaf Disease Classification

+ +### ๐ŸŽฏ **Goal** + +The main goal of this project is to develop a machine learning model capable of accurately classifying different diseases in sugarcane leaves. + +### ๐Ÿงต **Dataset** + +The dataset used in this project is the Sugarcane Leaf Disease Dataset. It can be found [here](https://www.kaggle.com/datasets/nirmalsankalana/sugarcane-leaf-disease-dataset). + +### ๐Ÿงพ **Description** + +This project involves classifying sugarcane leaf diseases using various machine learning models. The dataset comprises images of sugarcane leaves, categorized into different types. The project utilizes image preprocessing, data augmentation, and ensemble learning techniques to enhance model accuracy. + +### ๐Ÿงฎ **What I had done!** + +1. **Data Loading and Exploration:** + - Loaded the dataset and explored its structure. + - Understand the distribution of the samples in the dataset through visualization. + +2. **Data Splitting:** + - Split the dataset into training, validation, and test sets using a ratio of 60:20:20. + +3. **Data Preprocessing:** + - Resized images to a uniform size. + - Applied data augmentation techniques like rotation, zoom, and flip to increase the diversity of the training data. + +4. **Model Development:** + - Built a custom convolutional neural network (CNN) model using Keras. + - Trained 3 pre-trained models such as VGG16, IncepetionV3 and MobileNetV2. + - To get the best out of the models, I implemented an ensemble learning approach to combine the predictions of multiple models. + +5. **Model Evaluation:** + - Evaluated model performance using accuracy, confusion matrix, and classification report. + +### ๐Ÿš€ **Models Implemented** + +### Convolutional Neural Networks (CNN): + - Selected for their effectiveness in image classification tasks. + - Chosen because of customization and experimentation flexibility + +### VGG16 +- **Feature Extraction Power:** VGG16 is known for its deep architecture (16 layers) and strong feature extraction capabilities, suitable for capturing intricate patterns in leaf images. +- **Simplicity and Transfer Learning:** Its straightforward architecture and pretrained weights from ImageNet make it effective for transfer learning on small datasets. + +### MobileNetV2 +- **Efficiency and Speed:** MobileNetV2's lightweight design and efficient operations are ideal for environments with limited computational resources, offering good performance without compromising speed. +- **Deployment on Mobile Devices:** Optimized for mobile and edge devices, MobileNetV2 is suitable if deployment involves real-time leaf classification applications. + +### InceptionV3 +- **Multi-scale Feature Extraction:** InceptionV3's use of inception modules with different kernel sizes enables capturing features at multiple scales, beneficial for classifying leaves with varying textures and shapes. +- **Proven Performance:** It has demonstrated robust performance across diverse image classification tasks, making it a reliable choice for accurate leaf classification. + +### ๐Ÿ“š **Libraries Needed** + +- numpy +- pandas +- matplotlib +- seaborn +- plotly +- keras +- sklearn +- tensorflow +- cv2 +- splitfolders +- PIL + +### ๐Ÿ“Š **Exploratory Data Analysis Results** + +**INCLUSION OF IMAGES OF THE VISUALIZATION IS MUST (RESULT OF EDA)** + +- Distribution of images across different disease categories. + ![bar_graph_distribution](https://github.com/atharv1707/DL-Simplified/assets/77221646/5be69072-61a1-4660-84d8-0143f5102acf) + ![pie_chart_distribution](https://github.com/atharv1707/DL-Simplified/assets/77221646/83f0c51c-5f96-4655-943d-7c059620a10e) + +- Sample images from the dataset with their respective labels. + ![Screenshot 2024-06-27 125351](https://github.com/atharv1707/DL-Simplified/assets/77221646/fefb53fe-5969-44b1-8973-32e381ba04e0) + + +### ๐Ÿ“ˆ **Performance of the Models based on the Accuracy Scores** + + +| Model | Accuracy | +|---------------------|----------| +| Model 1 CNN Model | 84% | +| Model 2 VGG16 | 82% | +| Model 3 MobileNetV2 | 81% | +| Model 4 InceptionV3 | 80% | +| Ensemble Model | 90.5% | + +### ๐Ÿ“ข **Conclusion** + +This project successfully developed a model for highly accurately classifying sugarcane leaf diseases. The ensemble learning approach improved the model's performance, achieving the best results among all the developed models. The accuracy scores indicate that the ensemble model is the most reliable for this classification task. + +### โœ’๏ธ **Your Signature** + +Developed by [Atharv Pal] + +Connect with me on [LinkedIn](https://www.linkedin.com/in/atharv-pal17/) | [GitHub]([your-github-profile](https://github.com/atharv1707)) + +--- From c896f147f9e738ed02fea08ed64e819eb26c4a73 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 19:15:22 +0530 Subject: [PATCH 18/27] Update requirements.txt --- Sugarcane Leaf Disease Detection/requirements.txt | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/Sugarcane Leaf Disease Detection/requirements.txt b/Sugarcane Leaf Disease Detection/requirements.txt index 431792d7b..4e41f1b7e 100644 --- a/Sugarcane Leaf Disease Detection/requirements.txt +++ b/Sugarcane Leaf Disease Detection/requirements.txt @@ -1 +1,11 @@ -This proejcts require the following +numpy +pandas +matplotlib +seaborn +plotly +keras +sklearn +tensorflow +cv2 +splitfolders +PIL From 6746f4831d47c2b1b6ed4f343ab0ca7a93cfa04d Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 19:16:06 +0530 Subject: [PATCH 19/27] Update readme.md --- Sugarcane Leaf Disease Detection/readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Sugarcane Leaf Disease Detection/readme.md b/Sugarcane Leaf Disease Detection/readme.md index b32915092..bf035d54f 100644 --- a/Sugarcane Leaf Disease Detection/readme.md +++ b/Sugarcane Leaf Disease Detection/readme.md @@ -95,7 +95,7 @@ This project successfully developed a model for highly accurately classifying su ### โœ’๏ธ **Your Signature** -Developed by [Atharv Pal] +Developed by **Atharv Pal** Connect with me on [LinkedIn](https://www.linkedin.com/in/atharv-pal17/) | [GitHub]([your-github-profile](https://github.com/atharv1707)) From dbab81a5b3d61f2ff65b2907ca0c9447e391f93a Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Thu, 27 Jun 2024 19:18:24 +0530 Subject: [PATCH 20/27] Update readme.md --- Sugarcane Leaf Disease Detection/readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Sugarcane Leaf Disease Detection/readme.md b/Sugarcane Leaf Disease Detection/readme.md index bf035d54f..0f0372ec2 100644 --- a/Sugarcane Leaf Disease Detection/readme.md +++ b/Sugarcane Leaf Disease Detection/readme.md @@ -97,6 +97,6 @@ This project successfully developed a model for highly accurately classifying su Developed by **Atharv Pal** -Connect with me on [LinkedIn](https://www.linkedin.com/in/atharv-pal17/) | [GitHub]([your-github-profile](https://github.com/atharv1707)) +Connect with me on [LinkedIn](https://www.linkedin.com/in/atharv-pal17/) | [GitHub](https://github.com/atharv1707) --- From e6a86595b13d12af6a462225fc2dcb527efe1b4b Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Fri, 28 Jun 2024 00:28:31 +0530 Subject: [PATCH 21/27] Update readme.md --- Sugarcane Leaf Disease Detection/readme.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Sugarcane Leaf Disease Detection/readme.md b/Sugarcane Leaf Disease Detection/readme.md index 0f0372ec2..394c738a6 100644 --- a/Sugarcane Leaf Disease Detection/readme.md +++ b/Sugarcane Leaf Disease Detection/readme.md @@ -17,7 +17,7 @@ This project involves classifying sugarcane leaf diseases using various machine 1. **Data Loading and Exploration:** - Loaded the dataset and explored its structure. - - Understand the distribution of the samples in the dataset through visualization. + - Understanding the distribution of the samples in the dataset through visualization. 2. **Data Splitting:** - Split the dataset into training, validation, and test sets using a ratio of 60:20:20. @@ -27,7 +27,7 @@ This project involves classifying sugarcane leaf diseases using various machine - Applied data augmentation techniques like rotation, zoom, and flip to increase the diversity of the training data. 4. **Model Development:** - - Built a custom convolutional neural network (CNN) model using Keras. + - Built and trained a custom convolutional neural network (CNN) model using Keras. - Trained 3 pre-trained models such as VGG16, IncepetionV3 and MobileNetV2. - To get the best out of the models, I implemented an ensemble learning approach to combine the predictions of multiple models. From ce400fdece902ac47d04476e06aa1ec3b1e927f6 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Fri, 28 Jun 2024 00:29:17 +0530 Subject: [PATCH 22/27] Update readme.md --- Sugarcane Leaf Disease Detection/readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Sugarcane Leaf Disease Detection/readme.md b/Sugarcane Leaf Disease Detection/readme.md index 394c738a6..94008b659 100644 --- a/Sugarcane Leaf Disease Detection/readme.md +++ b/Sugarcane Leaf Disease Detection/readme.md @@ -1,5 +1,5 @@ -#

Sugarcane Leaf Disease Classification

+#

Sugarcane Leaf Disease Detection

### ๐ŸŽฏ **Goal** From 8f7a2683034e19ade30ba37b4944ae2df78308d0 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Sat, 29 Jun 2024 10:32:30 +0530 Subject: [PATCH 23/27] Delete Sugarcane Leaf Disease Detection/Dataset directory --- Sugarcane Leaf Disease Detection/Dataset/Model/model.txt | 1 - .../Dataset/Model/requirements.txt | 1 - Sugarcane Leaf Disease Detection/Dataset/dataset.MD | 3 --- 3 files changed, 5 deletions(-) delete mode 100644 Sugarcane Leaf Disease Detection/Dataset/Model/model.txt delete mode 100644 Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt delete mode 100644 Sugarcane Leaf Disease Detection/Dataset/dataset.MD diff --git a/Sugarcane Leaf Disease Detection/Dataset/Model/model.txt b/Sugarcane Leaf Disease Detection/Dataset/Model/model.txt deleted file mode 100644 index 8b1378917..000000000 --- a/Sugarcane Leaf Disease Detection/Dataset/Model/model.txt +++ /dev/null @@ -1 +0,0 @@ - diff --git a/Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt b/Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt deleted file mode 100644 index 8b1378917..000000000 --- a/Sugarcane Leaf Disease Detection/Dataset/Model/requirements.txt +++ /dev/null @@ -1 +0,0 @@ - diff --git a/Sugarcane Leaf Disease Detection/Dataset/dataset.MD b/Sugarcane Leaf Disease Detection/Dataset/dataset.MD deleted file mode 100644 index 7d74a6930..000000000 --- a/Sugarcane Leaf Disease Detection/Dataset/dataset.MD +++ /dev/null @@ -1,3 +0,0 @@ - -The following dataset has been used in this project. -๐Ÿ”ด https://www.kaggle.com/datasets/nirmalsankalana/sugarcane-leaf-disease-dataset From a81f77cc1b0d8848df0d62ffe362b96f9bee32f6 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Sat, 29 Jun 2024 10:33:47 +0530 Subject: [PATCH 24/27] Rename readme.md to README.md --- Sugarcane Leaf Disease Detection/{readme.md => README.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename Sugarcane Leaf Disease Detection/{readme.md => README.md} (100%) diff --git a/Sugarcane Leaf Disease Detection/readme.md b/Sugarcane Leaf Disease Detection/README.md similarity index 100% rename from Sugarcane Leaf Disease Detection/readme.md rename to Sugarcane Leaf Disease Detection/README.md From 64482079897eccfc3593ce8ec2cc006398c1cb93 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Sat, 29 Jun 2024 10:50:05 +0530 Subject: [PATCH 25/27] Create README.md --- Sugarcane Leaf Disease Detection/Dataset/README.md | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 Sugarcane Leaf Disease Detection/Dataset/README.md diff --git a/Sugarcane Leaf Disease Detection/Dataset/README.md b/Sugarcane Leaf Disease Detection/Dataset/README.md new file mode 100644 index 000000000..d3d85a55e --- /dev/null +++ b/Sugarcane Leaf Disease Detection/Dataset/README.md @@ -0,0 +1,3 @@ +The dataset used in this project can be found below : + +**Link : https://www.kaggle.com/datasets/nirmalsankalana/sugarcane-leaf-disease-dataset/data** From a810629275b9f8d2c050a2f2190ccfac02230468 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Sun, 30 Jun 2024 10:02:33 +0530 Subject: [PATCH 26/27] Delete Sugarcane Leaf Disease Detection/Model/model.txt --- Sugarcane Leaf Disease Detection/Model/model.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 Sugarcane Leaf Disease Detection/Model/model.txt diff --git a/Sugarcane Leaf Disease Detection/Model/model.txt b/Sugarcane Leaf Disease Detection/Model/model.txt deleted file mode 100644 index 8b1378917..000000000 --- a/Sugarcane Leaf Disease Detection/Model/model.txt +++ /dev/null @@ -1 +0,0 @@ - From 6d95cf3a15e2985b9495098e28c3de8b612e41e0 Mon Sep 17 00:00:00 2001 From: Atharv Pal <77221646+atharv1707@users.noreply.github.com> Date: Sun, 30 Jun 2024 10:05:43 +0530 Subject: [PATCH 27/27] Update README.md --- Sugarcane Leaf Disease Detection/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Sugarcane Leaf Disease Detection/README.md b/Sugarcane Leaf Disease Detection/README.md index 94008b659..54b74d470 100644 --- a/Sugarcane Leaf Disease Detection/README.md +++ b/Sugarcane Leaf Disease Detection/README.md @@ -71,7 +71,9 @@ This project involves classifying sugarcane leaf diseases using various machine **INCLUSION OF IMAGES OF THE VISUALIZATION IS MUST (RESULT OF EDA)** - Distribution of images across different disease categories. + ![bar_graph_distribution](https://github.com/atharv1707/DL-Simplified/assets/77221646/5be69072-61a1-4660-84d8-0143f5102acf) + ![pie_chart_distribution](https://github.com/atharv1707/DL-Simplified/assets/77221646/83f0c51c-5f96-4655-943d-7c059620a10e) - Sample images from the dataset with their respective labels.