diff --git a/AI Generated vs Real Images Classification using DL/Dataset/README.md b/AI Generated vs Real Images Classification using DL/Dataset/README.md new file mode 100644 index 000000000..3da057979 --- /dev/null +++ b/AI Generated vs Real Images Classification using DL/Dataset/README.md @@ -0,0 +1,5 @@ +## Dataset + +The dataset used for this project can be found here https://www.kaggle.com/datasets/cashbowman/ai-generated-images-vs-real-images. This contains 2 subfolders, each housing another subdirectory with images: namely AIArtData and RealArt. + +Total no. of images: 539 AI and 436 Real art images: 975. \ No newline at end of file diff --git a/AI Generated vs Real Images Classification using DL/Images/1000_F_563719058_JXnzcPV4GRpWqmF5sqnqmbJ7ow3ca3DS.jpg b/AI Generated vs Real Images Classification using DL/Images/1000_F_563719058_JXnzcPV4GRpWqmF5sqnqmbJ7ow3ca3DS.jpg new file mode 100644 index 000000000..06d448deb Binary files /dev/null and b/AI Generated vs Real Images Classification using DL/Images/1000_F_563719058_JXnzcPV4GRpWqmF5sqnqmbJ7ow3ca3DS.jpg differ diff --git a/AI Generated vs Real Images Classification using DL/Images/1WA1ZUTaiGV9YO5lVEPPFhA.png b/AI Generated vs Real Images Classification using DL/Images/1WA1ZUTaiGV9YO5lVEPPFhA.png new file mode 100644 index 000000000..76fa3dd36 Binary files /dev/null and b/AI Generated vs Real Images Classification using DL/Images/1WA1ZUTaiGV9YO5lVEPPFhA.png differ diff 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--git a/AI Generated vs Real Images Classification using DL/Model/ai_real_images.ipynb b/AI Generated vs Real Images Classification using DL/Model/ai_real_images.ipynb new file mode 100644 index 000000000..6b6e597a1 --- /dev/null +++ b/AI Generated vs Real Images Classification using DL/Model/ai_real_images.ipynb @@ -0,0 +1 @@ +{"cells":[{"cell_type":"code","execution_count":2,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:33:47.544977Z","iopub.status.busy":"2024-05-30T12:33:47.544128Z","iopub.status.idle":"2024-05-30T12:33:47.882202Z","shell.execute_reply":"2024-05-30T12:33:47.881361Z","shell.execute_reply.started":"2024-05-30T12:33:47.544942Z"},"trusted":true},"outputs":[],"source":["# importing modules\n","\n","import numpy as np\n","import tensorflow as tf\n","import keras\n","from sklearn.model_selection import train_test_split\n","import matplotlib.pyplot as plt\n","from keras import Sequential\n","from keras.layers import (InputLayer, Conv2D, MaxPooling2D, MaxPool2D, GlobalAveragePooling2D, \n"," Dense, BatchNormalization, Dropout, ELU, UpSampling2D)\n","from keras.callbacks import ModelCheckpoint, ReduceLROnPlateau\n","from keras.optimizers import Nadam\n","from keras.layers import Input, Multiply, UpSampling2D\n","from keras.models import Model\n","from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, confusion_matrix"]},{"cell_type":"code","execution_count":21,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:51:57.131544Z","iopub.status.busy":"2024-05-30T12:51:57.131160Z","iopub.status.idle":"2024-05-30T12:52:10.588947Z","shell.execute_reply":"2024-05-30T12:52:10.588000Z","shell.execute_reply.started":"2024-05-30T12:51:57.131513Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Found 536 files belonging to 1 classes.\n","Found 435 files belonging to 1 classes.\n"]}],"source":["# Loading the AI-generated images dataset\n","ai_dataset = keras.utils.image_dataset_from_directory(\n"," \"/kaggle/input/ai-generated-images-vs-real-images/AiArtData\",\n"," image_size=(224, 224),\n"," batch_size=32,\n"," label_mode='int' # setting labels to integers\n",")\n","\n","# Loading the real images dataset\n","real_dataset = keras.utils.image_dataset_from_directory(\n"," \"/kaggle/input/ai-generated-images-vs-real-images/RealArt\",\n"," image_size=(224, 224),\n"," batch_size=32,\n"," label_mode='int' # setting labels to integers\n",")\n","\n","# Normalizing the datasets\n","normalization_layer = tf.keras.layers.Rescaling(1./255)\n","\n","normalized_ai_dataset = ai_dataset.map(lambda x, y: (normalization_layer(x), tf.ones_like(y))) # Set labels to 1\n","normalized_real_dataset = real_dataset.map(lambda x, y: (normalization_layer(x), tf.zeros_like(y))) # Set labels to 0\n","\n","# Combining the datasets\n","combined_dataset = normalized_ai_dataset.concatenate(normalized_real_dataset)\n","\n","# Preparing lists for images and labels\n","images_list = []\n","labels_list = []\n","\n","for images, labels in combined_dataset:\n"," for image, label in zip(images, labels):\n"," images_list.append(image.numpy())\n"," labels_list.append(label.numpy())\n","\n","# Convert lists to numpy arrays\n","images_array = np.asarray(images_list)\n","labels_array = np.asarray(labels_list)"]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:52:10.591136Z","iopub.status.busy":"2024-05-30T12:52:10.590834Z","iopub.status.idle":"2024-05-30T12:52:10.799254Z","shell.execute_reply":"2024-05-30T12:52:10.798273Z","shell.execute_reply.started":"2024-05-30T12:52:10.591113Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["x_train: (679, 224, 224, 3)\n","y_train: (679,)\n","x_test: (146, 224, 224, 3)\n","y_test: (146,)\n","x_val: (146, 224, 224, 3)\n","y_val: (146,)\n"]}],"source":["# Splitting the data into training, testing, and validation sets\n","x_train, x_temp, y_train, y_temp = train_test_split(images_array, labels_array, test_size=0.3,random_state=42)\n","x_test, x_val, y_test, y_val = train_test_split(x_temp, y_temp, test_size=0.5,random_state=42)\n","\n","# Printing the shapes of split data\n","print(\"x_train:\", x_train.shape)\n","print(\"y_train:\", y_train.shape)\n","print(\"x_test:\", x_test.shape)\n","print(\"y_test:\", y_test.shape)\n","print(\"x_val:\", x_val.shape)\n","print(\"y_val:\", y_val.shape)"]},{"cell_type":"markdown","metadata":{},"source":["### CNN"]},{"cell_type":"code","execution_count":23,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:52:10.800792Z","iopub.status.busy":"2024-05-30T12:52:10.800469Z","iopub.status.idle":"2024-05-30T12:52:10.984158Z","shell.execute_reply":"2024-05-30T12:52:10.983272Z","shell.execute_reply.started":"2024-05-30T12:52:10.800758Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Model: \"sequential_2\"\n","
\n"],"text/plain":["\u001b[1mModel: \"sequential_2\"\u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ conv2d_221 (Conv2D)             │ (None, 224, 224, 32)   │           896 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_20 (MaxPooling2D) │ (None, 112, 112, 32)   │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_222 (Conv2D)             │ (None, 112, 112, 64)   │        18,496 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_21 (MaxPooling2D) │ (None, 56, 56, 64)     │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_223 (Conv2D)             │ (None, 56, 56, 128)    │        73,856 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_22 (MaxPooling2D) │ (None, 28, 28, 128)    │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_224 (Conv2D)             │ (None, 28, 28, 256)    │       295,168 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_23 (MaxPooling2D) │ (None, 14, 14, 256)    │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ global_average_pooling2d_6      │ (None, 256)            │             0 │\n","│ (GlobalAveragePooling2D)        │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_15 (Dense)                │ (None, 1024)           │       263,168 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_16 (Dense)                │ (None, 512)            │       524,800 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_17 (Dense)                │ (None, 256)            │       131,328 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_18 (Dense)                │ (None, 128)            │        32,896 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_19 (Dense)                │ (None, 1)              │           129 │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"],"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ conv2d_221 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m896\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_20 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_222 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m18,496\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_21 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_223 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m73,856\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_22 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_224 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m295,168\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_23 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ global_average_pooling2d_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) │ │ │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_15 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m263,168\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_16 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m524,800\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_17 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m131,328\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_18 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m32,896\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_19 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m129\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Total params: 1,340,737 (5.11 MB)\n","
\n"],"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,340,737\u001b[0m (5.11 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Trainable params: 1,340,737 (5.11 MB)\n","
\n"],"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,340,737\u001b[0m (5.11 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Non-trainable params: 0 (0.00 B)\n","
\n"],"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"]},"metadata":{},"output_type":"display_data"}],"source":["from keras.regularizers import l1_l2\n","\n","model = Sequential() # sequential model\n","\n","model.add(InputLayer(shape=(224, 224, 3)))\n","\n","model.add(Conv2D(filters=32, kernel_size=3, activation=ELU(), padding=\"same\")) # convolution block with downsampling and batch normalization\n","model.add(MaxPool2D())\n","\n","model.add(Conv2D(filters=64, kernel_size=3, activation=ELU(), padding=\"same\")) # convolution block with downsampling and batch normalization\n","model.add(MaxPool2D())\n","\n","model.add(Conv2D(filters=128, kernel_size=3, activation=ELU(), padding=\"same\")) # convolution block with downsampling and batch normalization\n","model.add(MaxPool2D())\n","\n","model.add(Conv2D(filters=256, kernel_size=3, activation=ELU(), padding=\"same\")) # convolution block with downsampling and batch normalization\n","model.add(MaxPool2D())\n","\n","model.add(GlobalAveragePooling2D())\n","\n","model.add(Dense(1024, activation=ELU())) # dense layer\n","model.add(Dense(512, activation=ELU())) # dense layer\n","model.add(Dense(256, activation=ELU())) # dense layer\n","model.add(Dense(128, activation=ELU())) # dense layer\n","\n","model.add(Dense(1, activation='sigmoid'))\n","\n","# callbacks: model checkpoint and reducing lr on plateau for focusing model towards problem\n","model_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\n","\n","model.compile(optimizer=Nadam(learning_rate=0.0001), loss='binary_crossentropy', metrics=['accuracy']) # compiling model layers\n","\n","model.summary() # model summary"]},{"cell_type":"code","execution_count":24,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:52:10.986595Z","iopub.status.busy":"2024-05-30T12:52:10.986306Z","iopub.status.idle":"2024-05-30T12:53:27.552273Z","shell.execute_reply":"2024-05-30T12:53:27.551457Z","shell.execute_reply.started":"2024-05-30T12:52:10.986570Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/40\n","\u001b[1m 3/22\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 58ms/step - accuracy: 0.5243 - loss: 0.7103"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717073544.366334 1773 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 267ms/step - accuracy: 0.5280 - loss: 0.7004"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717073550.978604 1771 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\n","Epoch 1: val_accuracy improved from -inf to 0.60274, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 427ms/step - accuracy: 0.5295 - loss: 0.6999 - val_accuracy: 0.6027 - val_loss: 0.6626\n","Epoch 2/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6284 - loss: 0.6577\n","Epoch 2: val_accuracy did not improve from 0.60274\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6278 - loss: 0.6574 - val_accuracy: 0.6027 - val_loss: 0.6384\n","Epoch 3/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6092 - loss: 0.6455\n","Epoch 3: val_accuracy did not improve from 0.60274\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6108 - loss: 0.6449 - val_accuracy: 0.6027 - val_loss: 0.6330\n","Epoch 4/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6392 - loss: 0.6464\n","Epoch 4: val_accuracy did not improve from 0.60274\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6391 - loss: 0.6458 - val_accuracy: 0.5685 - val_loss: 0.6311\n","Epoch 5/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6763 - loss: 0.6144\n","Epoch 5: val_accuracy improved from 0.60274 to 0.65068, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 65ms/step - accuracy: 0.6742 - loss: 0.6158 - val_accuracy: 0.6507 - val_loss: 0.6428\n","Epoch 6/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6720 - loss: 0.6261\n","Epoch 6: val_accuracy did not improve from 0.65068\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6709 - loss: 0.6262 - val_accuracy: 0.6096 - val_loss: 0.6270\n","Epoch 7/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6444 - loss: 0.6250\n","Epoch 7: val_accuracy did not improve from 0.65068\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6451 - loss: 0.6247 - val_accuracy: 0.6233 - val_loss: 0.6275\n","Epoch 8/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6874 - loss: 0.5871\n","Epoch 8: val_accuracy did not improve from 0.65068\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6856 - loss: 0.5892 - val_accuracy: 0.5890 - val_loss: 0.6902\n","Epoch 9/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6752 - loss: 0.6035\n","Epoch 9: val_accuracy improved from 0.65068 to 0.66438, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 65ms/step - accuracy: 0.6745 - loss: 0.6041 - val_accuracy: 0.6644 - val_loss: 0.6264\n","Epoch 10/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6870 - loss: 0.6132\n","Epoch 10: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6867 - loss: 0.6136 - val_accuracy: 0.6096 - val_loss: 0.6272\n","Epoch 11/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6540 - loss: 0.6292\n","Epoch 11: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6559 - loss: 0.6277 - val_accuracy: 0.6438 - val_loss: 0.6310\n","Epoch 12/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6653 - loss: 0.6126\n","Epoch 12: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 62ms/step - accuracy: 0.6661 - loss: 0.6125 - val_accuracy: 0.6301 - val_loss: 0.6283\n","Epoch 13/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6706 - loss: 0.6070\n","Epoch 13: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step - accuracy: 0.6701 - loss: 0.6075 - val_accuracy: 0.6644 - val_loss: 0.6458\n","Epoch 14/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6916 - loss: 0.6019\n","Epoch 14: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6914 - loss: 0.6023 - val_accuracy: 0.6438 - val_loss: 0.6294\n","Epoch 15/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6729 - loss: 0.5915\n","Epoch 15: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6734 - loss: 0.5924 - val_accuracy: 0.6507 - val_loss: 0.6422\n","Epoch 16/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6829 - loss: 0.6156\n","Epoch 16: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6817 - loss: 0.6152 - val_accuracy: 0.6438 - val_loss: 0.6306\n","Epoch 17/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6765 - loss: 0.6260\n","Epoch 17: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 60ms/step - accuracy: 0.6763 - loss: 0.6252 - val_accuracy: 0.6507 - val_loss: 0.6211\n","Epoch 18/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.7019 - loss: 0.5851\n","Epoch 18: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7001 - loss: 0.5868 - val_accuracy: 0.6370 - val_loss: 0.6244\n","Epoch 19/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6929 - loss: 0.6056\n","Epoch 19: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6925 - loss: 0.6049 - val_accuracy: 0.6438 - val_loss: 0.6394\n","Epoch 20/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.7092 - loss: 0.5859\n","Epoch 20: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7077 - loss: 0.5868 - val_accuracy: 0.6575 - val_loss: 0.6368\n","Epoch 21/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6680 - loss: 0.6245\n","Epoch 21: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6703 - loss: 0.6227 - val_accuracy: 0.6507 - val_loss: 0.6276\n","Epoch 22/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6800 - loss: 0.6065\n","Epoch 22: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 59ms/step - accuracy: 0.6804 - loss: 0.6058 - val_accuracy: 0.6507 - val_loss: 0.6340\n","Epoch 23/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6815 - loss: 0.5916\n","Epoch 23: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6830 - loss: 0.5914 - val_accuracy: 0.6438 - val_loss: 0.6314\n","Epoch 24/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6885 - loss: 0.5913\n","Epoch 24: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6888 - loss: 0.5910 - val_accuracy: 0.6507 - val_loss: 0.6351\n","Epoch 25/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6999 - loss: 0.5726\n","Epoch 25: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6987 - loss: 0.5740 - val_accuracy: 0.6438 - val_loss: 0.6465\n","Epoch 26/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6891 - loss: 0.6016\n","Epoch 26: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6912 - loss: 0.6003 - val_accuracy: 0.6301 - val_loss: 0.6309\n","Epoch 27/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.7176 - loss: 0.5683\n","Epoch 27: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7163 - loss: 0.5702 - val_accuracy: 0.6301 - val_loss: 0.6536\n","Epoch 28/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.7018 - loss: 0.5742\n","Epoch 28: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7009 - loss: 0.5751 - val_accuracy: 0.6507 - val_loss: 0.6306\n","Epoch 29/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6999 - loss: 0.5872\n","Epoch 29: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7013 - loss: 0.5872 - val_accuracy: 0.6438 - val_loss: 0.6463\n","Epoch 30/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6974 - loss: 0.5758\n","Epoch 30: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6972 - loss: 0.5764 - val_accuracy: 0.6575 - val_loss: 0.6658\n","Epoch 31/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6860 - loss: 0.6084\n","Epoch 31: val_accuracy did not improve from 0.66438\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6869 - loss: 0.6068 - val_accuracy: 0.6438 - val_loss: 0.6268\n","Epoch 32/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.7165 - loss: 0.5677\n","Epoch 32: val_accuracy improved from 0.66438 to 0.67123, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 64ms/step - accuracy: 0.7158 - loss: 0.5690 - val_accuracy: 0.6712 - val_loss: 0.6575\n","Epoch 33/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.7251 - loss: 0.5568\n","Epoch 33: val_accuracy did not improve from 0.67123\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 59ms/step - accuracy: 0.7238 - loss: 0.5583 - val_accuracy: 0.5890 - val_loss: 0.6779\n","Epoch 34/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6748 - loss: 0.5934\n","Epoch 34: val_accuracy did not improve from 0.67123\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6774 - loss: 0.5913 - val_accuracy: 0.6644 - val_loss: 0.6626\n","Epoch 35/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.7402 - loss: 0.5405\n","Epoch 35: val_accuracy did not improve from 0.67123\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7361 - loss: 0.5441 - val_accuracy: 0.6438 - val_loss: 0.6672\n","Epoch 36/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6748 - loss: 0.6103\n","Epoch 36: val_accuracy did not improve from 0.67123\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6757 - loss: 0.6092 - val_accuracy: 0.6507 - val_loss: 0.6207\n","Epoch 37/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.6874 - loss: 0.5808\n","Epoch 37: val_accuracy did not improve from 0.67123\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.6893 - loss: 0.5802 - val_accuracy: 0.6575 - val_loss: 0.6328\n","Epoch 38/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.7067 - loss: 0.5870\n","Epoch 38: val_accuracy did not improve from 0.67123\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7076 - loss: 0.5858 - val_accuracy: 0.6507 - val_loss: 0.6301\n","Epoch 39/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 55ms/step - accuracy: 0.6837 - loss: 0.5729\n","Epoch 39: val_accuracy improved from 0.67123 to 0.67808, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 64ms/step - accuracy: 0.6856 - loss: 0.5727 - val_accuracy: 0.6781 - val_loss: 0.6443\n","Epoch 40/40\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 56ms/step - accuracy: 0.7249 - loss: 0.5627\n","Epoch 40: val_accuracy did not improve from 0.67808\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - accuracy: 0.7247 - loss: 0.5633 - val_accuracy: 0.6096 - val_loss: 0.6898\n"]}],"source":["# Training model\n","history = model.fit(x_train,y_train,batch_size=32,epochs=40,verbose=1,validation_data=(x_val,y_val),callbacks=[model_checkpoint])"]},{"cell_type":"code","execution_count":25,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:53:27.554245Z","iopub.status.busy":"2024-05-30T12:53:27.553887Z","iopub.status.idle":"2024-05-30T12:53:29.400864Z","shell.execute_reply":"2024-05-30T12:53:29.399918Z","shell.execute_reply.started":"2024-05-30T12:53:27.554212Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[1m1/5\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m2s\u001b[0m 533ms/step"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717073608.768999 1771 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 151ms/step\n","Accuracy: 0.6643835616438356\n","Precision: 0.6847826086956522\n","Recall: 0.7590361445783133\n","F1 Score: 0.7200000000000001\n","Confusion Matrix:\n","[[34 29]\n"," [20 63]]\n"]}],"source":["# testing model \n","\n","model2 = keras.models.load_model('model.keras', custom_objects={\"ELU\": keras.layers.ELU,\"PReLU\": keras.layers.PReLU}) # loading saved model\n","\n","y_pred = model2.predict(x_test) # predicting\n","\n","y_pred = (y_pred > 0.5).astype(int) # turning to class labels\n","\n","# Accuracy\n","accuracy = accuracy_score(y_test, y_pred)\n","print(\"Accuracy:\", accuracy)\n","\n","# Precision\n","precision = precision_score(y_test, y_pred)\n","print(\"Precision:\", precision)\n","\n","# Recall\n","recall = recall_score(y_test, y_pred)\n","print(\"Recall:\", recall)\n","\n","# F1 Score\n","f1 = f1_score(y_test, y_pred)\n","print(\"F1 Score:\", f1)\n","\n","# Confusion Matrix\n","conf_matrix = confusion_matrix(y_test, y_pred)\n","print(\"Confusion Matrix:\")\n","print(conf_matrix)"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:53:29.402679Z","iopub.status.busy":"2024-05-30T12:53:29.402302Z","iopub.status.idle":"2024-05-30T12:53:29.702303Z","shell.execute_reply":"2024-05-30T12:53:29.701365Z","shell.execute_reply.started":"2024-05-30T12:53:29.402647Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Loss per epoch\")\n","plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:53:29.703758Z","iopub.status.busy":"2024-05-30T12:53:29.703465Z","iopub.status.idle":"2024-05-30T12:53:29.973404Z","shell.execute_reply":"2024-05-30T12:53:29.972447Z","shell.execute_reply.started":"2024-05-30T12:53:29.703723Z"},"trusted":true},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkAAAAHHCAYAAABXx+fLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACrpklEQVR4nOydeXhTZfbHP0m675TSUkqh7DsFyiooLiAq7hs4KIqKiuCgzKLoT51RB9RRx1ERRgRFRUERFRVxQVCRnbLKWnYK3Sjd9+T+/ri5adqmbZKmTdKez/Pkye3Ne9+8Sdt7zz3ne87RKYqiIAiCIAiC0ILQu3sBgiAIgiAITY0YQIIgCIIgtDjEABIEQRAEocUhBpAgCIIgCC0OMYAEQRAEQWhxiAEkCIIgCEKLQwwgQRAEQRBaHGIACYIgCILQ4hADSBAEQRCEFocYQIIgCEIN/vGPf6DT6cjKynL3UgShURADSBC8mLfffhudTsewYcPcvRRBEASvQgwgQfBili5dSkJCAlu3biUlJcXdyxEEQfAaxAASBC/l+PHjbNy4kddee402bdqwdOlSdy+pVgoLC929BLfQUj+3IHgDYgAJgpeydOlSWrVqxfjx47n11ltrNYBycnJ47LHHSEhIwN/fn/bt2zN58uQq2o6SkhL+8Y9/0L17dwICAoiNjeXmm2/m6NGjAKxfvx6dTsf69eurzH3ixAl0Oh3vv/++Zd8999xDSEgIR48e5ZprriE0NJRJkyYB8Ntvv3HbbbfRoUMH/P39iY+P57HHHqO4uLjGug8ePMjtt99OmzZtCAwMpEePHjz11FMArFu3Dp1OxxdffFHjuI8//hidTsemTZtq/e7ef/99dDodv/76Kw8++CCtW7cmLCyMyZMnc+HChRrjv/vuOy6++GKCg4MJDQ1l/Pjx/PHHH1XG1PW5ayM1NZV7772XmJgY/P396dOnD4sXL64yRvvuly9fzpNPPknbtm0JDg7m+uuv5/Tp0zXm/Oyzz0hKSiIwMJCoqCjuvPNOUlNTa4yr6/u1Jicnh3vuuYeIiAjCw8OZMmUKRUVFdX4uQfAGfNy9AEEQnGPp0qXcfPPN+Pn5cccddzB//ny2bdvGkCFDLGMKCgq4+OKLOXDgAPfeey+DBg0iKyuLVatWcebMGaKiojAajVx77bWsXbuWiRMnMnPmTPLz8/nxxx/Zt28fXbp0cXhtFRUVjBs3jlGjRvHKK68QFBQEqBfnoqIipk2bRuvWrdm6dStvvvkmZ86c4bPPPrMcv2fPHi6++GJ8fX154IEHSEhI4OjRo3z99df861//4tJLLyU+Pp6lS5dy00031fheunTpwogRI+pd54wZM4iIiOAf//gHhw4dYv78+Zw8edJidAB8+OGH3H333YwbN46XXnqJoqIi5s+fz6hRo9i5cycJCQn1fm5bpKenM3z4cHQ6HTNmzKBNmzZ899133HfffeTl5fHoo49WGf+vf/0LnU7H448/TkZGBq+//jpjxoxh165dBAYGAqphN2XKFIYMGcLcuXNJT0/nv//9L7///js7d+4kIiLCru/Xmttvv51OnToxd+5ckpOTeffdd4mOjuall16q9/sVBI9GEQTB69i+fbsCKD/++KOiKIpiMpmU9u3bKzNnzqwy7plnnlEAZeXKlTXmMJlMiqIoyuLFixVAee2112ods27dOgVQ1q1bV+X148ePK4Dy3nvvWfbdfffdCqA88cQTNeYrKiqqsW/u3LmKTqdTTp48adl3ySWXKKGhoVX2Wa9HURRl9uzZir+/v5KTk2PZl5GRofj4+CjPPvtsjfex5r333lMAJSkpSSkrK7Psf/nllxVA+eqrrxRFUZT8/HwlIiJCmTp1apXj09LSlPDw8Cr76/rctrjvvvuU2NhYJSsrq8r+iRMnKuHh4ZbvSvvu4+LilLy8PMu4Tz/9VAGU//73v4qiKEpZWZkSHR2t9O3bVykuLraM++abbxRAeeaZZyz77Pl+n332WQVQ7r333ipjbrrpJqV169Z2fUZB8GQkBCYIXsjSpUuJiYnhsssuA0Cn0zFhwgSWLVuG0Wi0jPv8889JTEys4SXRjtHGREVF8cgjj9Q6xhmmTZtWY5/mqQBVH5OVlcVFF12Eoijs3LkTgMzMTH799VfuvfdeOnToUOt6Jk+eTGlpKStWrLDsW758ORUVFdx55512rfGBBx7A19e3ypp9fHxYvXo1AD/++CM5OTnccccdZGVlWR4Gg4Fhw4axbt06uz53dRRF4fPPP+e6665DUZQqc48bN47c3FySk5OrHDN58mRCQ0MtP996663ExsZa1rp9+3YyMjJ4+OGHCQgIsIwbP348PXv25NtvvwXs/341HnrooSo/X3zxxZw/f568vLx6P6cgeDJiAAmCl2E0Glm2bBmXXXYZx48fJyUlhZSUFIYNG0Z6ejpr1661jD169Ch9+/atc76jR4/So0cPfHxcFxH38fGhffv2NfafOnWKe+65h8jISEJCQmjTpg2jR48GIDc3F4Bjx44B1Lvunj17MmTIkCrap6VLlzJ8+HC6du1q1zq7detW5eeQkBBiY2M5ceIEAEeOHAHg8ssvp02bNlUeP/zwAxkZGXZ97upkZmaSk5PDO++8U2PeKVOmANSYu/padTodXbt2taz15MmTAPTo0aPG+/Xs2dPyur3fr0Z1I6lVq1YANrVSguBNiAZIELyMn3/+mXPnzrFs2TKWLVtW4/WlS5dy5ZVXuvQ9a/MEWXubrPH390ev19cYO3bsWLKzs3n88cfp2bMnwcHBpKamcs8992AymRxe1+TJk5k5cyZnzpyhtLSUzZs389Zbbzk8T21oa/rwww9p27ZtjderG422Pndd8955553cfffdNsf079/f0eU2CgaDweZ+RVGaeCWC4FrEABIEL2Pp0qVER0czb968Gq+tXLmSL774ggULFhAYGEiXLl3Yt29fnfN16dKFLVu2UF5eXiUcZI1215+Tk1Nlv+ZVsIe9e/dy+PBhlixZwuTJky37f/zxxyrjOnfuDFDvugEmTpzIrFmz+OSTTyguLsbX15cJEybYvaYjR45YwoigisbPnTvHNddcA2ARgEdHRzNmzBi7562PNm3aEBoaitFotHtezRuloSgKKSkpFkOpY8eOABw6dIjLL7+8ythDhw5ZXnfk+xWE5oyEwATBiyguLmblypVce+213HrrrTUeM2bMID8/n1WrVgFwyy23sHv3bpvp4tod/C233EJWVpZNz4k2pmPHjhgMBn799dcqr7/99tt2r13zJFh7DhRF4b///W+VcW3atOGSSy5h8eLFnDp1yuZ6NKKiorj66qv56KOPWLp0KVdddRVRUVF2r+mdd96hvLzc8vP8+fOpqKjg6quvBmDcuHGEhYUxZ86cKuM0MjMz7X4vawwGA7fccguff/65TUPE1rwffPAB+fn5lp9XrFjBuXPnLGsdPHgw0dHRLFiwgNLSUsu47777jgMHDjB+/HjAse9XEJoz4gESBC9i1apV5Ofnc/3119t8ffjw4ZaiiBMmTOBvf/sbK1as4LbbbuPee+8lKSmJ7OxsVq1axYIFC0hMTGTy5Ml88MEHzJo1i61bt3LxxRdTWFjITz/9xMMPP8wNN9xAeHg4t912G2+++SY6nY4uXbrwzTff1NCp1EXPnj3p0qULf/3rX0lNTSUsLIzPP//cppbkjTfeYNSoUQwaNIgHHniATp06ceLECb799lt27dpVZezkyZO59dZbAXj++eft/zKBsrIyrrjiCm6//XYOHTrE22+/zahRoyzfb1hYGPPnz+euu+5i0KBBTJw4kTZt2nDq1Cm+/fZbRo4c6XTI7cUXX2TdunUMGzaMqVOn0rt3b7Kzs0lOTuann34iOzu7yvjIyEhGjRrFlClTSE9P5/XXX6dr165MnToVAF9fX1566SWmTJnC6NGjueOOOyxp8AkJCTz22GOWuRz5fgWh2eKm7DNBEJzguuuuUwICApTCwsJax9xzzz2Kr6+vJb36/PnzyowZM5S4uDjFz89Pad++vXL33XdXSb8uKipSnnrqKaVTp06Kr6+v0rZtW+XWW29Vjh49ahmTmZmp3HLLLUpQUJDSqlUr5cEHH1T27dtnMw0+ODjY5tr279+vjBkzRgkJCVGioqKUqVOnKrt3764xh6Ioyr59+5SbbrpJiYiIUAICApQePXooTz/9dI05S0tLlVatWinh4eFV0r/rQkuD/+WXX5QHHnhAadWqlRISEqJMmjRJOX/+fI3x69atU8aNG6eEh4crAQEBSpcuXZR77rlH2b59u12fuzbS09OV6dOnK/Hx8Zbv/YorrlDeeeedKu8NKJ988okye/ZsJTo6WgkMDFTGjx9fI41dURRl+fLlysCBAxV/f38lMjJSmTRpknLmzJka4+r7frU0+MzMTJvf3fHjxx36rILgaegURXyegiB4LxUVFbRr147rrruORYsW2XWMVjBw27ZtDB48uJFX2DDWr1/PZZddxmeffWbxdAmC0HBEAyQIglfz5ZdfkpmZWUVYLQiCUB+iARIEwSvZsmULe/bs4fnnn2fgwIGWekKCIAj2IB4gQRC8kvnz5zNt2jSio6P54IMP3L0cQRC8DNEACYIgCILQ4hAPkCAIgiAILQ4xgARBEARBaHGICNoGJpOJs2fPEhoa2qBu2IIgCIIgNB2KopCfn0+7du3q7csnBpANzp49S3x8vLuXIQiCIAiCE5w+fZr27dvXOUYMIBuEhoYC6hcYFhbm5tUIgiAIgmAPeXl5xMfHW67jdSEGkA20sFdYWJgYQIIgCILgZdgjXxERtCAIgiAILQ4xgARBEARBaHGIASQIgiAIQotDDCBBEARBEFocYgAJgiAIgtDiEANIEARBEIQWhxhAgiAIgiC0OMQAEgRBEAShxSEGkCAIgiAILQ4xgARBEARBaHGIASQIgiAIQotDDCBBEARBEFocYgAJgiAIgtBk5JeUs/t0DoqiuHUdYgAJgiAIgtBkrD2QwQ3zfueuRVvdug4xgARBEARBaDK+/yMNgAHxEW5dhxhAgiAIgiA0CSXlRtYfygTgyj4xbl2LRxhA8+bNIyEhgYCAAIYNG8bWrbW7xS699FJ0Ol2Nx/jx4wEoLy/n8ccfp1+/fgQHB9OuXTsmT57M2bNnm+rjCIIgCIJggw1HsiguN9IuPIB+ceFuXYvbDaDly5cza9Ysnn32WZKTk0lMTGTcuHFkZGTYHL9y5UrOnTtneezbtw+DwcBtt90GQFFREcnJyTz99NMkJyezcuVKDh06xPXXX9+UH0sQBEEQhGpo4a8r+7RFp9O5dS06xc0y7GHDhjFkyBDeeustAEwmE/Hx8TzyyCM88cQT9R7/+uuv88wzz3Du3DmCg4Ntjtm2bRtDhw7l5MmTdOjQod458/LyCA8PJzc3l7CwMMc+kCAIgiAINagwmhjyr5+4UFTOx1OHcVGXKJe/hyPXb7d6gMrKytixYwdjxoyx7NPr9YwZM4ZNmzbZNceiRYuYOHFircYPQG5uLjqdjoiICJuvl5aWkpeXV+UhCIIgCILr2HbiAheKyokI8mVoQqS7l+NeAygrKwuj0UhMTFUhVExMDGlpafUev3XrVvbt28f9999f65iSkhIef/xx7rjjjlqtwblz5xIeHm55xMfHO/ZBBEEQBEGokx/2q9f1K3rG4GNwuwLH/RqghrBo0SL69evH0KFDbb5eXl7O7bffjqIozJ8/v9Z5Zs+eTW5uruVx+vTpxlqyIAiCILQ4FEXhhz/SARjn5uwvDR93vnlUVBQGg4H09PQq+9PT02nbtm2dxxYWFrJs2TKee+45m69rxs/Jkyf5+eef64wF+vv74+/v7/gHEARBEAShXv44m0dqTjGBvgYu6d7G3csB3OwB8vPzIykpibVr11r2mUwm1q5dy4gRI+o89rPPPqO0tJQ777yzxmua8XPkyBF++uknWrdu7fK1C4IgCIJgH1r21yXdowjwNbh5NSpu9QABzJo1i7vvvpvBgwczdOhQXn/9dQoLC5kyZQoAkydPJi4ujrlz51Y5btGiRdx44401jJvy8nJuvfVWkpOT+eabbzAajRY9UWRkJH5+fk3zwQRBEARBALAKf9Ud3WlK3G4ATZgwgczMTJ555hnS0tIYMGAAa9assQijT506hV5f1VF16NAhNmzYwA8//FBjvtTUVFatWgXAgAEDqry2bt06Lr300kb5HIIgCILQXFh/KIMXvzvIP6/vw7DODYuinMgq5FB6Pj56HVf09Az9D3hAHSBPROoACYIgCC2VnKIyxrz2C1kFZfRpF8Y3j4xqUNHC//1ylLnfHWRU1yg+un+YC1daE6+pAyQIgiAIgmcxd/VBsgrKAFW8/MvhzAbN98N+Nfzl7t5f1REDSBAEQWhythw7z58WbuZYZoG7lyJYsfnYeZZvV0vBXNRFDX29vf6o0/Nl5JeQfOoCAFf29hz9D4gBJAiCILiB+b8cZePR8yzacNzdSxHMlJQbefKLvQD8aVgHXr09EV+Djq3Hs9lxMtupOX/cn46iQGJ8BG3DA1y53AYjBpAgCILQpJhMCjtP5QCwISXLvYsRLLy9/ijHMgtpE+rP41f1JDY8kJsHtldfW+ecF+h7Dyt+aI0YQIIgCEKTciyrkNzicgBOni/i1PkiN69ISMnIZ/76FAD+cV0fwgN9AXhwdGd0Olh7MIODaY71ycwrKWfTUdXA9bTwF4gBJAiCIDQxmiZE47eUholshYZhMinMXrmXcqPC5T2juaZfpbHSuU0I1/SNBWC+g1qgdQczKDcqdGkTTNfoEJeu2RWIASQIgiA0KTvNBlCQn1oReMMRCYO5k+XbT7PtxAWC/Aw8d0OfGinv0y7tAsDXu8865K3zxOKH1ogBJAiC0EIoKTfyxOd7+MHclsBdJJ/MAWDyiAQANh49j9EkJencQUZ+CXNWHwDgL1f2oH2roBpj+saFc0n3NpgU+N+v9nmBSsqNrD+UAYgBJAiCILiZ1XvPsWzbaR5bvousglK3rCGvpJzDGfkA3HNRAqEBPuQWl7M3Ndct62npPPf1fvJLKugXF849FyXUOu5hsxfos+1nyMgrqXfejUezKCwz0jYsgH5x4a5arksRA0gQBKGFsPt0DgCFZUbeXHvEbWtQFGjfKpC24QGWWjMbjogOqKlZdzCDb/acw6DXMffmfhj0tVd7HtYpkkEdIigzmuwqXfD9vsrih/o65nUnYgAJgiC0EHadqfSyLN1yipPnC5t8DVr4a1CHVgBc3K0NAL+KDqhJKSyt4P++3AfAvSMT6FuPl0an0zH9sq4AfLT5JLlF5bWONZoUfjrg2fofEANIEAShRVBaYeTAWTWNuWfbUCpMCv/+/lCTr0PLABvUIQKAi7tFAaowurC0osnX01L5z4+HSc0pJi4ikMfGdrfrmMt7RtOzbSiFZUY+2HSi1nHbT2RzvrCM8EBfhnaKdNGKXY8YQIIgCC2Ag+fyKTOaaBXky6u3J6LTwTd7zrHnTE6TrUEtgGg2gDqqHqCOrYOJjwyk3Kiw5fj5JltLS2Zfai6Lf1fDWC/c1JcgPx+7jtPpdJaMsPc2nqC4zGhznNb764qe0fgaPNfM8NyVCYIgCC5jt9nQSYyPoE+7cG4cEAfAi98dRFGaJgPrWFYBeSUVBPjq6RVb2al7VFc1DPabh4fBMvJL+HJnKs9+tY9tJ5xrDeFuKowmnli5B5MC1yW247Ie0Q4dP75fLB0ig8guLGPZtlM1XlcUhe/NWYZXenD4C8QAEgRBaBHsMgugE9tHADBrbHf8DHo2Hj3fZPobTf/TPy6iimdAC4N5mgGUX1LOT/vT+efXf3Dlf35h6L/W8ujyXSzZdJK7Fm3xSiPo/Y0n2JeaR1iAD89c29vh430Meh64pDMAC389RlmFqcrr+8/lceZCMQG+ekZ3b+OSNTcWYgAJgiC0APaYBdAD4iMAiI8M4q4RHQHVC2Rqgjo8mv5nYMeIKvsv6tIavQ5SMgo4l1vc6OuojbIKE1uOnee1Hw5x89u/M+C5H7n/g+289/sJDqcXoNNB37gwEtuHU1Ju4t73trH3jPek75+5UMSrPxwG4MlretEm1N+peW5Nak+bUH/O5pbw1a7UKq9pvb8u6daGQHOhS0/FvsCfIAiC4LXklZRzNLMAgP7tK7N9ZlzWlU+3nebAuTy+2p3KTebGl41FpQC6VZX9EUF+9Gsfwe7TOWw4ksVtg+MbdR3V+T0li3d+PcbW49kUl1fVtSS0DuKirlGM6hrFiM6taRXsR0m5kbsXb2XL8WwmL97Cpw+OoFtMaJOu2Rme+eoPisuNDE2I5PYGfMcBvgbuH9WJud8dZP4vR7l5UHtLCv0PXhL+AvEACYIgNHv2ncm11N5pHVJ5198q2I+HzKLWV74/TGmFbVGrK8grKedIhmqEVTeAAC7uqobBmro7fEZ+Cfe+v41fDmdSXG4kKsSP6xPb8fIt/dnw+GWs/9tlzLmpH9f0i6VVsB+gGgDv3j2YxPbhXCgqZ9K7Wzy+oevRzAJ+PpiBr0HHnJv7Nrg2z6ThHQkL8OFYZqHF6Dl1voiDafkY9DrG9HJMW+QOxAASBEFo5uyyEkBX596RnYgJ8yc1p5gPN51svDWcUgsgxkcG2gy9jDLrgH5PyWqScJzG4g0nKK0w0TcujDWPXsy2p8bwxh0DuX1IvM22EBqhAb68P2UoPWJCycgv5U/vbnZr+K4+th5X9UpJHVvRNbrh3qoQfx/uNleOfnv90Sri52GdIokI8mvwezQ2YgAJgiA0c7QK0APMAmhrAv0MPDZGrQPz1roU8kpqL3DXEGoLf2kM6tCKID8DWQVlHEjLa5Q1VCe3uJyPNqtG38wrutOzbViNRqB10SrYjw/vH0pC6yDOXCjmzne3uK3FSH1ogu2hCa6ry3PPRQkE+OrZm5rLhpQsiwHkycUPrREDSBAEoZmz+7Qq1LXlAQJV1NqlTTA5ReX87xf7ml06SvKpHKB2A8jPR8/wzlpbjKYJg320+SQFpRV0jwnhip7OhWyiQwP46P5htAsP4GhmIZMXbSW3uHGMyIagGUCDXWgAtQ7xZ+KQDgC8tOYgO8xG7tjeMS57j8ZEDCBBEIRmTHpeCWl5JejNGUy28DHoefyqngAs2nCctNz6m106QpUCiLUYQACjmlAHVFxmZLG5p9W0S7s0SBPTvlUQH90/jKgQP/afy2PKe1s9qqp1Wm4Jp7OL0esqC1C6iqmXdMZHr2Nfah6Koors20UEuvQ9GgsxgARBEJoxWvire0xonRV/x/aOIaljK0rKTfx37WGXruFoZgH55gKIPWNr159o9YC2Hs+mpLzxBNkAn24/zfnCMtq3CuS6/u0aPF/nNiF8eN8wwgN9ST6VwwMfbm/0z2Avmvend7swQvxdm/wdFxHITQPjLD97S/gLxAASBEFo1lgqQNvQ/1ij0+mYfbXqBVq+7TQpGfkuW4Om/+nfPqLO1ghdo0OICfOntMLUqEUGy40m3vn1GAAPju6Cj4vaNfSKDeP9KUMI9jPwe8p5Zny8k3Kjqf4DGxntuxziwvCXNQ9d2gVNOjWuj3eEv0AMIEEQhGZNffofawYnRDK2dwwmBV5e47pGqdU7wNeGTqezdIdvTB3QV7vOkppTTFSIP7clubb20cAOrXj37iH4++j56UA6f/1sN8YmzGqzxbYTqgHaWAZQlzYhvDFxIC/f0t8lGWZNhRhAgiAIzRSTSbHqARZe92Azj1/VA71ObWi53UVemOod4OuisdtimEwKC8xC7/tGdSLA1/XVikd0ac38Owfho9fx1a6z/N+X+5qs31p1covLOWjOqhuc4Fr9jzXXJbbj9iFNW8CyoYgBJAiC0Ew5fr7Qor3pbmel4q7RoZYqwa5olJpbbFUA0Q4B7kizEHr/ubxGSSn/YX86KRkFhAb4cOfwDi6fX+PynjG8PnEAeh18svUUa/alNdp71UXyqQsoilrROjo0wC1r8FTEABIEQWim7DF7f/q2C69Te1OdR8d0J8BXz/aTF/jpQEaD1qA1Ye0QGURUSP29p6JC/C2d4n93cTaYoijMX58CwOQRHQkN8HXp/NW5tn87ppkrbc9bn+IWL9C2442r//FmxAASBEFopmj6n/71CKCr0zY8gHtHdgLU+i4VDRDyJp+0P/yl0VhhsI1Hz7P7TC4BvnqmmD9fY3PfqM4E+hrYl5rnlm73FgF0JzGAqiMGkCAIQjNF877Yq/+x5sHRXYgI8iUlo4Avd511eg2a/ifJgfozmgG04UiWS70mb5u9PxOHdLDLG+UKIoP9mDg0vsr7NxUl5UaLESweoJqIASQIgtAMKaswsf+sKn4dYEcGWHXCA3158BI1fLPgl6NO9ecymRSLETawngwwa4YkROLnoyctr8TSxb6h7Dqdw+8p5/HR65h6SWeXzGkvUy/ujK9Bx+Zj2RaDsCnYm5pLmdFEVIg/Ca1r72vWUvEIA2jevHkkJCQQEBDAsGHD2Lp1a61jL730UnQ6XY3H+PHjLWMUReGZZ54hNjaWwMBAxowZw5EjR5riowiCIHgEB9PyKDOaiAjypUOkcxe/O4d3IDTAh5SMAn7Yn+7w8SnmAohBfgZ6trU/PTrA12DpWeWqsNHb61Tvyw0D4ohr4krF7ayKBb69rnFajdiisv5PK4d6nLUU3G4ALV++nFmzZvHss8+SnJxMYmIi48aNIyPDtvBu5cqVnDt3zvLYt28fBoOB2267zTLm5Zdf5o033mDBggVs2bKF4OBgxo0bR0mJa8u7C4IgeCpaBejE9hFOX/xCA3yZPKIjAPOdEPFq+p/+7cMdLjY4yioM1lCOpOfzw/50dDqYdmnTen80HhytFgv86UA6h9JcV2SyLkQAXTduN4Bee+01pk6dypQpU+jduzcLFiwgKCiIxYsX2xwfGRlJ27ZtLY8ff/yRoKAgiwGkKAqvv/46//d//8cNN9xA//79+eCDDzh79ixffvllE34yQRAE97H7jP0FEOtiyshO+Pvo2X0ml41Hzzt0bH0d4OtC6wu26dh5yioaVk15vrnuz5W9Y9xWqK9LmxCu7qu2iZjfBFogk0lh+8nGLYDo7bjVACorK2PHjh2MGTPGsk+v1zNmzBg2bdpk1xyLFi1i4sSJBAcHA3D8+HHS0tKqzBkeHs6wYcNqnbO0tJS8vLwqD0EQBG+m0gPkuADamqgQfyYOcU7EW18H+LroHRtG62A/isqMlkaqznDmQhGrzCLuhy/t6vQ8rkB7/6/3nON0dlGjvteh9HzySyoI9jPQq47+ay0ZtxpAWVlZGI1GYmKq9g6JiYkhLa3+olFbt25l37593H///ZZ92nGOzDl37lzCw8Mtj/h476pmKQiCYE1+STkpZvGwoynwttA6fv+ect5iWNVHblE5KeYCiAMdSIHX0Ot1lqKIDekOv/DXY1SYFEZ1jWqwN6yh9I0L5+JuURhNCv/7tXG1QJr+Z1DHVi7rddbc8OpvZdGiRfTr14+hQ4c2aJ7Zs2eTm5treZw+fdpFKxQEQWh69qbmoihqp+42oQ1P927fKogbBphFvHZ6gXaeVr02Ca2DaO1kyvmoBtYDyiooZdk29Xz+sLkgobvRvECfbj9DRn7j6VIbu/9Xc8CtBlBUVBQGg4H09KrZBenp6bRt27bOYwsLC1m2bBn33Xdflf3acY7M6e/vT1hYWJWHIAiCqygorSC3qLzJ3k+r/eJM+nttTLu0MzodfP9Hul2d4hsS/tLQ6gHtOZPj1Pe3eMNxSitMJMZHMKJLa6fX4UqGd45kYIcIyipMLN5wolHeQ1EUiwC6Mft/eTtuNYD8/PxISkpi7dq1ln0mk4m1a9cyYsSIOo/97LPPKC0t5c4776yyv1OnTrRt27bKnHl5eWzZsqXeOQVBEFxNWYWJ8W/8xqiXfm6QlsURdjegAGJtdI0O5creqrRg/vpj9Y7XPutABwogVic2PJAubYIxKbDxqGNeoLyScj7cdBJQvT+ekgau0+ksXqCPNp8kt9j1hvGZC8Wk5ZXga9AxMF4MoNpwewhs1qxZLFy4kCVLlnDgwAGmTZtGYWEhU6ZMAWDy5MnMnj27xnGLFi3ixhtvpHXrqla9Tqfj0Ucf5YUXXmDVqlXs3buXyZMn065dO2688cam+EiCIAgWvtt3jpPni8gvreCe97Zx4FzjJ1loPcASXaD/sUa7cH+1K5UzF2oX8ZpMCrssHqCGreHibm0A+M1BHdBHm0+SX1pBt+gQxvaKqf+AJuSKntF0jwmhoLSCDzedcPn8mv6nb1w4gX6u73bfXHC7ATRhwgReeeUVnnnmGQYMGMCuXbtYs2aNRcR86tQpzp07V+WYQ4cOsWHDhhrhL42///3vPPLIIzzwwAMMGTKEgoIC1qxZQ0CAdMIVBKFp+cDshQj2M5BbXM5di7ZyzEXVjW2RkVfC2dwS9Dr1AuhKEuMjGNm1NRUmhYW/1u4FOpJRQH6pWgCxh51d6GvjYifqAZWUG1m84TgAD43ugl7vGd4fDb2+0gu0+PcTFJcZXTq/6H/sw+0GEMCMGTM4efIkpaWlbNmyhWHDhlleW79+Pe+//36V8T169EBRFMaOHWtzPp1Ox3PPPUdaWholJSX89NNPdO/evTE/giAIQg32peay4+QFfA06vpoxit6xYWQVlHLnu1tIzSlulPfU6v90iw4l2N/H5fNrF+5l206TVVBqc4xW/yexfUSDM5CGdW6Nj17HqewiTp4vrHXcudxiVuw4w2PLd3HJy+vIKigjLiKQ6we0a9D7NxbX9o8lPjKQ7MIylm875dK5KytAiwFUFx5hAAmCIDRHNA3KVX1j6Rodwgf3DaVzm2DO5pYwaeHmRskCagz9jzUXdWlNYvtwSitMvPf7cZtjLB3gO0Y0+P1C/H0sQmrrbLDc4nK+/yONZ77ax+WvrmfE3J/562e7+WJnKhn5pQT6Gvjn9X3w9dAUcB+DngfMvdYW/naccmPDij1qZBeWWcoPDG6A/qol4PrbA0EQBC9EURQUBZeFS3KKyvhyVyoAd5vbSUSF+LP0/mHctmATJ84Xcde7W1n+4HAigvxc8p4AuzX9TyPVvNHpdDx8WVce/HAHH2w6yUOjuxAa4FtlTEMqQNtiVLcotp7IZtWus5zLLWZDynn2nsnBuj+rXgf92kcwqmtrRnaNYlCHVgT4erb+5bak9vz3pyOk5hTz1a6z3JrUvsFzbjd7f7pFh9Aq2HV/V80RzzSNBUEQmojiMiPz1x9l4PM/cvP8jS67E/90+2lKK0z0jg0jyepOPDY8kKX3DyM61J9D6fncvXgrBaUVLnlPRVGq9ABrLMb2iqFbdAj5JRV8tLlq+CanqIyjmWqoypEO8HWh6YC2nshm3rqj7D6tGj9d2gQzeURH/ndXEjufuZKvpo/kb+N6clGXKI83fkBt+nrfqE4ALPjlKCaTY73WbKGFvwZL+KtexAASBKFFUm408dHmk4z+9zpeWnOQnKJydp3OsRTOawhGk2IxDCaP6FgjBbtj62A+un8YrYJ82X0ml/ve30ZJecOFsCfOF5FXUoG/j54eDnRfdxS9XsdDo9XwzaINx6usfafZAOsUFUykizwQ/dtHcFGX1sSGB3DzwDheuS2RTbMvZ+1fLuW5G/oyrk9bwgN965/IA7lzeAdCA3xIySjgh/3p9R9QD5oAemgnCX/VhxhAgiC0KEwmha92pTLmtV/4vy/3kZFfSvtWgdw0UK10/N+fjlDYQI/ML4czOJVdRFiAj6WCcnW6x4Tywb3DCPH3YcvxbB76aEeDm35q3p8+7cIaXfty/YB2xEUEklVQymc7zlj27zTrf5xpf1EbBr2Oj6cOZ9PsK3htwgBuTWpPbHigy+Z3J6EBvkw2h0jfXp+CojjvBSoqq2BfqiqCH9xRPED1IQaQIAgtAkVR+PlgOte88Rszl+3i5PkiokL8+Of1fVj7l9G8dEt/OrYOIquglHd/sy3utRct9f32wfF11mHp1z6cxfcMIcBXz/pDmTy6fCcVDQjB7bIIoCOcnsNefA16HrikMwDv/HrUsm5XVIBuaUwZ2Ql/Hz17zuTye8p5p+fZdTqHCpNCbHgA7Vs1DwOxMREDSBCEZs/W49nctmAT976/nYNp+YT6+/DXK7vzy98u4+6LEvD3MeDno+evV/YA1At6bSne9XEiq5D1hzLR6eDO4R3rHT+0UyTv3DUYP4Oe1XvTeGLlXqe1IJoA2pUtMOri9sHxtA7243R2Md/sOYfRpFiMMDGA7CcqxJ+JQ9Qm3Pb2WrPFtuOq921wQqTHVL72ZMQAEgSh2fLH2VymvLeV2/+3ie0nL+Dvo+fB0Z357fHLmHF5txp1csb3i6VfXDiFZUbeXHvEqff8cLPq/bm0exsSooLtOuaS7m14446BGPQ6Vuw4w3Pf7Hc4FFJWYeKPs2qV6cYUQFsT6GfgXrOId/76oxxOz6egtIJgP0OjapCaI1Mv6YyPXsfGo+ctRqSjaALoodL/yy7EABIEodlRVmHiH6v+YPwbG1h3KBODXsefhnXgl79dxuyre9Wadq7X65h9dU8Alm45VWfhPVsUlVXw2XZVRD15RIJDx17Vty3/vrU/AO9vPMGrPxx26PhDafmUVZgID/SlY+sgh45tCHcO70iIvw+H0vN55ftDgBqCM3hY9WVPp32rIIte7D8/HnbYAK4wmizlB4Z0Ev2PPYgBJAhCsyIjv4RJ727m/Y0nALgusR0/zRrNnJv60Ta8/nY4F3WN4pLubagwKfzbfEG3l692nSWvpIIOkUGM7t7G4bXfPKg9z9/YF4C31qUwf/1Ru4/Vwl/924c3afgjPNCXu8wi3rUHMwAJfznLtEu74GvQ8cvhTN77/YRDx+4/l0dRmZGwAB+6R4v3zR7EABIEodmw4+QFrn1jA9tOXCDU34eFkwfz5h0D6WRnKErjiat6otPBN3vOWRqL1oeiKCwxG12TR3R0uqDiXcM78oTZC/XSmoN2N8vUMsCaSv9jzb1mEa+GKypAt0S6Rofw1DW9AJiz+gA7zR4de9DS3wcnRHpc7zNPRQwgQRC8HkVR+GjzSSa+s4mM/FK6Rofw5YyRjO3tXBfw3u3CuNEcjnjxu4N2hSO2n7zAwbR8Anz13JYU79T7ajw0ugszLlN7bj391R+sTD5TzxFWFaCbSP9jTZtQf24fXPmZB8aLB8hZ7r4ogWv6taXCpDDj453kFJXZddy241oBRPnu7UUMIEEQvJqSciOPf76H//tyH+VGhav7tuXL6SPp0iakQfPOGtsdP4OejUfP86sdncg178+NA+IID2p4Ub6/XNmdey5KAOBvK/awZl9arWMLSis4Yu7/1L+ReoDVx4OjOxMR5MuIzq2lBUMD0Ol0vHhLfxJaB5GaU8xfPt1db1agoihsP6kJoEX/Yy9iAAmC4LWczSlmwv828en2M+h18PhVPXl70iBCXNAFPT4yyKJtefG7g3VehDLySiwGinZMQ9HpdDxzbW9uS2qP0aTwyCfJ/HI40+bYvWdyURSIiwgkOrR+nVNj0L5VEBsev5wP7hvqlvdvToQF+DJv0iD8fPSsPZjBO78dq3P88axCsgrK8PPR06+9ewxgb0QMIEHwchRF4akv9vL3FfXfKTYnNh09z3VvbmD3mVwignxZcu9Qpl3axaUC4OmXdSXU34cD5/L4andqreM+3nqKCpPC4I6t6NPOdRcgvV71BozvF0u5UeHBD7dbUp2tqWyA6t6LX4i/j8d2X/c2+rQL55/X9wHg398fsvl719BeG9A+An8fz++B5inIX6ogeDknzxexdMspPt1+ps6LdHNBURTe/e0Ydy7awvnCMnrHhvH1jFFc3M3xrKv6iAz246FL1Z5Xr3x/mNKKmv26yipMLN1i7vtlDlm5EoNex38mDOCyHm0oKTdx73vb2Hsmt8qYPZYMsAiXv7/gPiYOiefGAe0wmhRmfJzM+VqKc1YKoEX/4whiAAmCl5NslSnyyveHXdJU01MpKqtg5rJdvPDtAYwmhZsGxvH5tIuIj2y8ujf3juxETJg/qTnFfGhucWHN93+kkZlfSptQf67q07ZR1uDno2f+nUkM6xRJfmkFkxdv4XB6vuX13adVg8gdAmih8dDpdPzrpn50aRNMel4pjy7fhdGGl1fzAEn9H8cQA0gQvBxrAyg1p5iPNte8SDcHMvNLuWX+JlbtPouPXsc/ruvNa7cn1tlryxUE+hl4bEx3QK3Nk1dSXuV1zSi6Y2gH/Hwa75Qa4Gtg0T1DSIyP4EJROXe+u4WT5wvJyC8hNacYnQ7RfzRDgv19mH9nEgG+en47ksW8dVVbZWTklXDyfBE6ndRfchQxgATBy0k+mQPApT3UENBb61LILS6v4wjvI7eonLsWbeHAuTyiQvxYev8w7hnZqckK/t2a1J4ubYLJKSrnf79UFifcfzaPrSey8dHrmDSsQ6OvI8TfhyVThtCzbSgZ+aVMencL3/+RDkC36BCXiL8Fz6N7TCgv3NgPgNd/OszGlMqsRC381bNtGOGBDc8+bEmIASQIXkxhaQUH09T+T/+6qR9do0NqXKS9nYLSCu5+bysH0/JpE+rPiocuYljn1k26Bh+DnsevUosTLtpwnLTcEgA+3HwCgHF92xIT1jTZVxFBfnxw31A6RQVz5kIxz3y1D5DwV3Pn1qT2TBgcj0mBPy/bRUae+jco/b+cRwwgQfBidp/JwaRAu/AA4iIC+fs4tZv54t8rL9LeTEm5kalLtrPrdA4RQb58dN8wuxuMupqxvWNI6tiKknIT/117mNyicr7ceRaAyXZ0fXcl0aEBfHT/MNqFB6DVaEx0QwVooWn55w196Nk2lKyCUh75ZCcVRpPFABos9X8cRgwgQfBidp7KAWBgR/Xub2zvGAabL9Kv/+RYM01Po9xo4uGlyWw6dt4c+hnq1g7jOl1lo9Tl207z4pqDFJcb6dk2lKFuEJ/GRQSydOpwokL80etgeBN7xYSmJ8DXwLxJgwj2M7DleDYvfHuAA+dUD/AQMYAcRgwgQfBikk+q8X9N/KjT6Sx9pD7dfpqUjPxaj/VkjCaFx5bv4ueDGfj76Fl092CP8HAMTohkbO8YTAp8stWc+j4ioUmbj1rTKSqY7x+9mFUzRtE1umGVrwXvoEubEF68pT8A7288gUmB+MhAuxr9ClURA0gQvBRFUdhpboA5qEOEZb/1RfqlNY51M/cEFEXhyZV7+WbPOXwNOv53V1KTa37q4u/jeqD1mgwN8OHGge3cup7WIf70jZPsr5bEdYntuMsq7CreH+cQA0gQvJQT54vILlTL31evPvz4VepF+sf96Wyvo4Ksp6EoCs9/c4Dl20+j18EbEwdyaY9ody+rCt1iQpkwRM34umNoB4L8JPNKaHr+79pe9DMbvpc0QhHQloAYQILgpWjhr35x4TXqz3SNDrV0555rZzdzT+A/Px1h8e/HAXj51kSu7hfr5hXZ5p/X92HR3YP565U93L0UoYXi72Pg46nDeG/KEK5PdK8X0lsRA0gQzJRVmHh5zUF+O2K74aSnoRVAtA5/WfPomO4E+OrZcfICP+5Pb8KVOcc7vx7ljbVHANXAuDWpvZtXVDt+Pnqu6BXTqIUPBaE+QgN8uaxHNHq9ezRo3o789wqCmS92nuHt9Ue5f8l2S2aFJ5NszgCrrfpr2/AA7h3ZCYCXvz9EhdHUVEtzmI+3nGLO6oMA/G1cD+5uhJ5agiAI1ogBJAhmvt59DoDSChPTlyZTUFrh5hXVTkFpBYfMBRAHday9ANpDl3YhIsiXlIwCVuw401TLc4gvd6by1Jd7AXj40i5Mv6yrm1ckCEJLQAwgQUDtM7XxqFpePirEj2NZhcxeuddjtTN7TqsFEOMiAuusQBwW4MsMs0Hxn58OU1zmWY1Sf9yfzl8+242iwOQRHfnbONHUCILQNLjdAJo3bx4JCQkEBAQwbNgwtm7dWuf4nJwcpk+fTmxsLP7+/nTv3p3Vq1dbXjcajTz99NN06tSJwMBAunTpwvPPP++xFzLBM/hu3zlMilpN9393JeGj1/H17rN8tOWUu5dmE03/M7AW/Y81d43oSFxEIOl5pRaBsSdwNLOAR5ftxGhSuHlQHP+4ro/b6ukIgtDycKsBtHz5cmbNmsWzzz5LcnIyiYmJjBs3joyMDJvjy8rKGDt2LCdOnGDFihUcOnSIhQsXEhcXZxnz0ksvMX/+fN566y0OHDjASy+9xMsvv8ybb77ZVB9L8EK+3q22NLiufyxJHSMtfZ+e/3o/e8/kunNpNqlP/2ONv4+Bv45Tu5kvWH+UC4Vljbk0uyguMzJ9aTKFZUaGd47k5Vv6i5BTEIQmxa0G0GuvvcbUqVOZMmUKvXv3ZsGCBQQFBbF48WKb4xcvXkx2djZffvklI0eOJCEhgdGjR5OYmGgZs3HjRm644QbGjx9PQkICt956K1deeWW9niWh5XI2p5htJy6g08G1/dV00vsv7sTY3jGUGU08/PEOj+qurigKO7UMsDr0P9bckBhHr9gw8ksreGtdSmMuzy6eXbWPg2n5RIX488bEgfgY3O6MFgShheG2s05ZWRk7duxgzJgxlYvR6xkzZgybNm2yecyqVasYMWIE06dPJyYmhr59+zJnzhyMxkpdw0UXXcTatWs5fFjtg7R79242bNjA1VdfXetaSktLycvLq/IQWg7f7lHFz0MTIi3l5HU6Ha/cmkj7VoGczi7m7yt2e0wY9XhWIReKyvH30dM7NsyuY/T6yhYZH246yensosZcYp18tv00n24/oxY6vGMA0U3URV0QBMEatxlAWVlZGI1GYmJiquyPiYkhLS3N5jHHjh1jxYoVGI1GVq9ezdNPP82rr77KCy+8YBnzxBNPMHHiRHr27Imvry8DBw7k0UcfZdKkSbWuZe7cuYSHh1se8fHxrvmQglewSgt/VSsmFh7ky9uTBuFn0PP9H+ks/v2EG1ZXEy38ZasAYl1c0i2KkV1bU2Y08Z8f3dMo9VBaPk9/tQ9Q6xRd1CXKLesQBEHwKr+zyWQiOjqad955h6SkJCZMmMBTTz3FggULLGM+/fRTli5dyscff0xycjJLlizhlVdeYcmSJbXOO3v2bHJzcy2P06dPN8XHETyA41mF7E3NxaDXcXXftjVe798+gqfG9wJg7uoDFvGxO0l2MPylodPpLNqmL3alsv9s03o6C0sreHjpDkrKTVzcLcqSnSYIguAO3GYARUVFYTAYSE+vWqE2PT2dtm1rXogAYmNj6d69OwaDwbKvV69epKWlUVamCjv/9re/WbxA/fr146677uKxxx5j7ty5ta7F39+fsLCwKg+hZfCN2fszsmsUrUP8bY6ZPKIj4/vFUmFSmLE02e0i4soO8BEOH9u/fQTX9o9FUeDFNQddvLLaURSFJ7/Yy9HMQtqGBfD6hAEiehYEwa24zQDy8/MjKSmJtWvXWvaZTCbWrl3LiBEjbB4zcuRIUlJSMJkqK9oePnyY2NhY/Pz8ACgqKkKvr/qxDAZDlWMEQePrPZXZX7Wh0+l48ZZ+JLQO4mxuCbM+3YXJ5B49UEFpBYfT8wH7MsBs8bdxPfDR6/j1cCYbU7Jcubxa+WTrab7adRaDXsebfxpYq7EpCIKXsnUh/PJvd6/CIdwaAps1axYLFy5kyZIlHDhwgGnTplFYWMiUKVMAmDx5MrNnz7aMnzZtGtnZ2cycOZPDhw/z7bffMmfOHKZPn24Zc9111/Gvf/2Lb7/9lhMnTvDFF1/w2muvcdNNNzX55xM8m0Np+RxOL8DPoOfKPra9jhqhAb68PSkJPx896w5l8r9fjzXRKquy26oAorPi4Y6tg5k0TO1mPve7g41uzO1LzeUfX/8BwN/H9WBIQmSjvp8gCE1McQ6s/husewHyPb/voIaPO998woQJZGZm8swzz5CWlsaAAQNYs2aNRRh96tSpKt6c+Ph4vv/+ex577DH69+9PXFwcM2fO5PHHH7eMefPNN3n66ad5+OGHycjIoF27djz44IM888wzTf75BM9Gq/0zukcbwgN96x3fu10Yz13fhydW7uWVHw4xqEMEwzq3buxlVsES/nJQ/1OdR67oxoodZ9ibmsvqfecs6f+uJq+knOkfJ1NWYWJMr2imXty5Ud5HEAQ3cm43YL6RKsyA0Jg6h3sKOsVTcns9iLy8PMLDw8nNzRU9UDNFURQufWU9J88X8cYdA7k+0T4DQFEUZn26my92phId6s/qmRcT1YThnCnvbWXdoUyeva43U8yNTp3lvz8d4T8/HaZj6yB+fGy0yzubK4rC9I+TWb03jbiIQL798ygigvxc+h6CIHgAG16Hn55Vt+/6Erpc5ralOHL99qosMEFwFXtTczl5vohAXwNjekXbfZxOp+OFG/vSNTqEjPxSHl22i/S8kkZcaSUmk8LO0zmA8/ofa+6/uBNRIf6cPF/Esm2ub/mxZOMJVu9Nw9eg460/DRTjRxCaK2d3Vm4XnXffOhxEDCChRaKFv67oFU2Qn2OR4GB/H+ZPGkSgr4ENKVkMm7OWsa/9wj9W/cGP+9PJK2mcqtHHsgrJMRdA7GVnAcS6CPb3YeaYboDqDSoorWjwnBq7Tufwr9UHAHjyml4MdIHBJgiChyIGkCB4ByaTwjfm6s/2hr6q0y0mlAV3JdEvLhydDo5kFPD+xhNM/WA7A5/7kZve/p1XfzjEpqPnKa1wTQd2rf5P//aOFUCsi4lD4ukUFcz5wjIWukjYnVNUxvSlyZQbFa7u25Z7LkpwybyCIHggRdmQc7Ly58KmySx1BW4VQQuCO9h+8gLncksIDfBhdI82Ts8zunsbRndvQ05RGZuPnWdDSha/p5zneFYhO0/lsPNUDm/+nEKAr54hCZGM6hrFTQPjnM7esvT/cqE3xdeg52/jevDw0mQW/naMO4d3pE2o85omRVH462e7Sc0ppmPrIF66tb90eBeE5oy19wegSAwgQfBYtPDXuD5t8fcx1DO6fiKC/LiqbyxX9VVrCaXmFPN7ShYbU7LYkHKerIJSfjuSxW9Hsliy8QQ//WW0w2E3gOSTOQAuDydd3bctifER7D6dwxtrj/D8jX2dmkdRFOZ+d5CfDmTg56Nn3p8GERZQf3adIAhejMUA0gGKV3mAJAQmtCgqjCZW71XDX9V7f7mKuIhAbh8cz+sTB7LtqSv4/tFLeOba3rQNC+BsbgmLNxx3eM68knIOZ5gLIHaMcOl6dTodT5hbZHyy9RTHswqdmufNn1N4xxxGm3NTP/rGhbtsjYIgeCiaARQ3SH0WDZAgeCabjp3nfGEZkcF+XNSl8Wv46HQ6erQN5d5RnZh9jWpkLPjlGNkOttPYfToHRYH2rQKJDnV99/QRXVpzWY82VJgUXvn+kMPHL9pwnNfMDVafvrY3tya1d/USBUHwRDQDqOtY9Vk8QILgmWjhr6v7tsXX0LR//tf1b0ffuDAKSit48+cjDh2rhb9cqf+pzt+v6olOB9/uPccuc7q9PSzfdornv9kPwKyx3blvVMPqEwmC4CXkp0NeKqCDLper+8QDJAieR2mFkTX70oDGC3/VhV6v44mr1M7yH20+yensIruPtXSAd6IBqr30ig3j5oGq5+bF7w5gT43Ur3ef5YmVewF44JLOPHK5dHgXhBbDuV3qc1R3aNVR3S7OBi/pvSkGkNBi+O1wFnklFcSE+butH9WoblFc3C2KcqPCKz/YF2oymZTKDLAGtsCoj1lXdsfPR8/mY9msP5xZ59i1B9J5bPkuFAXuGNqB2Vf3lIwvQWhJaOGvdgMhyCwpUExQfMF9a3IAMYCEFoPW+X18v3YY9O67UD9uFhx/tess+1Jz6x1/LKuAvJIKAnxdUwCxLuIiArl7hHon99J3BzHW0ih149Espi1NpsKkcMOAdrxwY18xfgTv5cx22P+Vu1fhfVgLoA2+EGBOfPCSVHgxgIQWQXGZkR/3q12Kr0uMdeta+saFc8MANQT30pqD9Y7X9D/94yKaRLc0/bKuhAb4cDAtn692pdZcz6kL3L9kO2UVJsb2juGV2xLdalAKQoMwmeDjCfDpZMg57e7VeA+KUtUDBBAUpT57iRBaDCChRbD2YDpFZUbiIwMZEB/h7uXw1yt74GvQ8duRLDYcqftkoel/Bro4/b02IoL8ePhSVcvz6g+HKSmvrGR94Fwe9yzeSlGZkVFdo3jzjoFNLiYXBJdy4XilxyL/nHvX4k3kn4OCdNAZIMZcOyzYbACJB0gQPAct++u6/u08IlQTHxnEncPVUNOLaw5gqiXUBNYC6KbrpzVlZAJtwwJIzSnmo81qmfujmQXctWgLeSUVJHVsxTuTkwjwbXghSUFwK9aVjItz3LYMr0P73qJ7gV+Quq15gLwkE0wMIKHZk1dSzrpDqqDXHdlftfHI5d0I8fdhX2qeRZ9UnbySco5kFABNawAF+BqYNbY7AG+tS2H/2TzufHcLWQVl9I4NY/E9Q5yqZi0IHoe1AVSS47ZleB2W8NeAyn1B5uSSQjGABMEj+PGPdMoqTHSNDqFn21B3L8dCZLAfD43uDMArPxyirKJm6uiuU2oBxPjIwAb16HKGmwfF0S06hJyicm6Yt4FzuSV0aRPMh/cNJTxQWlwIzYQqHiDvyF7yCKrrf0BCYILgaWjeFU8Jf1lz76hORIf6czq7mI+3nKzxujvCXxo+Br0lY63cqNC+VSAf3T+M1iFNa4gJQqNhMsLZXZU/SwjMPmwJoEFE0ILgSWQXlllExte6OfvLFkF+Pjw6Rg01vfFzCvkl5VVeTz6VA7jHAAK4olc01yW2o3tMCB/fP5zY8EC3rEMQGoWsI1Bu1ftOQmD2kXNK1fnofSsF0CAeIEHwJNbsS6PCpNCnXRhd2oS4ezk2uX1wezq3CSa7sIyF5maiUK0AopsMIJ1Ox5t3DOSHx0bToXWQW9YgCI2GdfgLJARmL9r3FtMbfKw8whYPkGiABMEtnM0p5rPtp3l02U5LnR1PEj9Xx8eg5+/j1FDTwt+Ok5FXAqhZV/nmAog9Yz1HuyQIzQbtQu5vLuAnITD7sBX+Agg2V4P2Eg+QpHEIXk9uUTmbjp3n95Qsfk/J4lhWYZXXI4P9uGlgnJtWZx/j+sQwqEMEyady+O/aI/zrpn4W/U//9k1TAFEQWhzahbzzJXDga/EA2UttBpDWDqPovKoT8jDNZXXEABK8jpJyIztOXrAYPHtTc7Euo6PXQb/2EYzq2pqRXaMY1KGVx9er0el0PHF1L27/3yaWbTvNfaM6NUkHeEFosRgrIG2Put35MtUAEg1Q/ShKpXC83aCqr2khMGMZlOZDQOO27mkoYgAJXsW+1FzuXLSFnKKqYuEubYIZ1TWKi7pGMbxza69M0x7aKZIxvaL56UAG//7+ECmW+j8R7l2YIDRHMg9CRQn4h0FckrpPQmD1k30MSnPB4K8WQbTGLwh8g6C8SA2DiQEkCK7j9Z+OkFNUTlSIP5d0i2JkV/XRNjzA3UtzCX+/qic/H8zgu31pln2N3QFeEFokWhgnNrGygJ+EwOpH+97a9lMboFYnKApyT6lC6MjOTbs2BxEDSPAaTmcX8fNBtaHpsgeG0zXajqyu4hzIT4Pono27OBfRPSaUW5Pa88X2E3TRnaUoogdRUndHEFyPtY4lIELdNpZCeTH4urDcQ0keFGZC6y6um9Od1Kb/0QhurRpAXiCEFmWl4DUs3XIKkwIXd4uyz/gBWH4nvD0czh9t3MW5kMfGdmeG79es8X+CaeGb3L0cQWieWF/I/UPVpp7g+jDYV9PhrSE1U+69FYv+pxYDyIuKIYoBJHgFJeVGlm87BcBd5iaidpFxAFAgY3/jLKwRiA0P5JbWxwEYq2x082oEoRlSUQbp+9TtdgPVbKXACPVnV4fBzu0GxaiKrL0dkwnO7VK3a/UAeU9DVDGABK/gmz3nuFBUTlxEIFf0irHvIEWpPJnlp9U91sNoX64ae1Hnt0N5iZtXIwjNjIw/1EylgAholaDu08Jgrs4E085BR9e5dl53cD4FygpUoXNUd9tjgrynFpAYQILHoygKSzaeAODO4R0x6O2sLVGSq955AeSfa5zFNQZF2VCYoW5XlMApCYMJgkuxDn9ptWoCzckGrgyBGcuhNK/yPYuyXTe3O7AIoPuDoRYJsWYAeUE1aDGABI9n1+kc9qbm4uejZ8KQePsPtHZle5MHKOtw1Z+PNYM7R0HwJGwJeRsjBFZlLgWO/+K6ud1BfQJo8Kp+YGIACR7Ph5vULunX9W9HZLCf/QcWW91teZMHKFNt34HenGJ69Gf3rUUQmiPahTzOqpBfY4TAqhtT3v6/fDZZfa7LABIRtP3MmzePhIQEAgICGDZsGFu3bq1zfE5ODtOnTyc2NhZ/f3+6d+/O6tWrq4xJTU3lzjvvpHXr1gQGBtKvXz+2b9/emB9DaCSyCkr5Zo9qvNx9kQPiZ4AiL/UAZZo9QH1uVJ/T9kJBptuWIwjNivJic3IE1TxAWgjMhR6g6iGvo+tVbaI3YqyAc+bK2eIBajjLly9n1qxZPPvssyQnJ5OYmMi4cePIyMiwOb6srIyxY8dy4sQJVqxYwaFDh1i4cCFxcZV9ni5cuMDIkSPx9fXlu+++Y//+/bz66qu0aiXF5LyR5dtOU2Y0kRgfQf/2EY4d7O0eoIRRENNP3T623m3LEYRmRfofYKqA4DYQZtUj0BICy3Hde2nnoOg+YPBT6+N4UUmOKmQdgopi8AuF1l1rH2cRQXu+3smthRBfe+01pk6dypQpUwBYsGAB3377LYsXL+aJJ56oMX7x4sVkZ2ezceNGfH3V8EBCQkKVMS+99BLx8fG89957ln2dOnVqvA8hNBoVRhMfbVbDX3ePcND7A1X/AYsvqNlUvl5QMTrzkPoc1QO6XAbpe1UdUP/b3LsuQWgO2BJAQ6UHyJUhMO0cFB6nVps+8Zv6vxxVhwHhqVi+twGgr8N3ohlAZQUef851mweorKyMHTt2MGbMmMrF6PWMGTOGTZtsZ72sWrWKESNGMH36dGJiYujbty9z5szBaDRWGTN48GBuu+02oqOjGThwIAsXLqxzLaWlpeTl5VV5CM6zLzWXRz7Zyd4zuQ2a56cDGZzLLaF1sB/X9It1fILiancgBV4QBivNh7wz6nYbswEEqnbAW13nguBJ1Cbk1TRALhVBm89BgZFV/5e9EWsDqC4Cwiv1ix4eBnObAZSVlYXRaCQmpmpNl5iYGNLSbF+ojh07xooVKzAajaxevZqnn36aV199lRdeeKHKmPnz59OtWze+//57pk2bxp///GeWLFlS61rmzp1LeHi45REf70CmkVCFrIJS7luyja93n+W+JdvIzC91eq4PNp0AYMKQeOe6uVd3wXqDDkjLAAuOVu8YO4wAnwA1hKd5hgRBcJ7aDKDGCIFp56CgSLXjPMDx39T0eG/DngwwUL1qllR4MYBchslkIjo6mnfeeYekpCQmTJjAU089xYIFC6qMGTRoEHPmzGHgwIE88MADTJ06tcqY6syePZvc3FzL4/Tp003xcZodRpPCo8t2kZ6nGj0Z+aU8unwnRpPjnosj6flsPHoevQ4mOVL52ZrqHiBv0AFpRk6bHuqzb6BqBIGkwwtCQykrrNTYxQ6o+lpjhMCsPUCxiepzWT6k7nDdezQFFWWQZlU5uz68RAjtNgMoKioKg8FAenp6lf3p6em0bdvW5jGxsbF0794dg6HSG9CrVy/S0tIoKyuzjOndu3eV43r16sWpU6dqXYu/vz9hYWFVHoLjvPVzChtSsgj0NTB/0iCC/Az8nnKeN9YecXiuD83an7G9Y4iLcLIxocUDZI7ze4MHqLoBBNDlcvXZW13nguAppO0FxQShsRBWLazeGCEwiweoFegN0Hm0+rO3/S9nHlAbxQaEQys7NLVeUgzRbQaQn58fSUlJrF271rLPZDKxdu1aRowYYfOYkSNHkpKSgslksuw7fPgwsbGx+Pn5WcYcOlQ1VHD48GE6dnTSiyDYxe8pWby+Vg3f/OumvlzdL5a5N6sZTG/8fITfjtifxp1fUs7nO1QdzOQRCc4vSrv7iuxsntibPEBW3es17cCJDVDhfEixReKNoQbBNorScB1cah11bKxDYK7S22nGVGCk+my5mXGTN9dY4dxnq004Xhte0g/MrSGwWbNmsXDhQpYsWcKBAweYNm0ahYWFlqywyZMnM3v2bMv4adOmkZ2dzcyZMzl8+DDffvstc+bMYfr06ZYxjz32GJs3b2bOnDmkpKTw8ccf884771QZI7iWjLwSZi7biaLAhMHx3DyoPQA3DIjjjqEdUBTMoTH7elqtTE6lsMxIlzbBXNSltfML0+oAxZg9gl7hATK756377ET3UTVB5UVwuu46WYIV61+COe1g3+fuXonQUMpL4O3hsGCUGo5xFsuFfFDN17QQmGJUM5hcgbUGCCp1QKnbXd91vj6yj8Obg+DdK9Q2QY5gr/5Hw0v6gbnVAJowYQKvvPIKzzzzDAMGDGDXrl2sWbPGIow+deoU585V3rXHx8fz/fffs23bNvr378+f//xnZs6cWSVlfsiQIXzxxRd88skn9O3bl+eff57XX3+dSZMmNfnnawlUGE088slOsgrK6Nk2lH/e0KfK689e15vesWGcLyzjkY93UmE01TKTiqIoFvHz3RcloLPnbqM2rGtwgOd7gMqLIUcN/VXxAOn10PlSdVt0QPZRVgib5qkNL798uPIELngn+79Sbw7S98Ghb52fp64LuW8gGPzVbVeFwaw1QAAR8dC6mxqGO/Gba97DHkoLYNmf1PNL6g74fCqYjPUfp+GwAeQd1aDdLoKeMWMGJ0+epLS0lC1btjBs2DDLa+vXr+f999+vMn7EiBFs3ryZkpISjh49ypNPPllFEwRw7bXXsnfvXkpKSjhw4ABTp05tio/SIvnPT4fZcjybYD8Db08aVCNbK8BX3R/i78PWE9m8+uPhWmZS2Xj0PEczCwn2M3DTwLg6x9ZJRVnlXZy3eIDOp6gnxoAICImu+progBxj30ooNd/lVpTAsklQYLvAquAFbF9cub1tkXNzlOTBebMesbZUbldmgilKTQ8QNH06vMkEXzwIGfvV4o8+AXDke/j5hfqPBdX7lr5f3bbXAArWPEASAhOaKesOZTBvnVrV9MVb+tO5TYjNcQlRwbx8a38A5q8/ys8H022OAyxd329Jak9ogK/zi9PuvHT6Sm+KpxtA1gLo6p4vzQN0dpdXVFh1O9vNF8mL/6LeceelwvK7GhY+EdxD+h9wejPofdT/5xO/VbaLcYRzu9Xn8A6VGpXquDITrKwATGYNWqC1AdTEOqBfX4aD36iVqCd+DNe/qe7f8Jp94eH0P9TPEdQawu0sEdNcPUAJCQk899xzdWZVCc2fsznFPLZ8FwB3De/IdYnt6hx/Tb9Y7rkoAYDHlu/mzIWiGmNSc4r56YBqHE12pvKzNZqREBABYea1leaprmBPxVYGmEZYLLTpBSjSFqM+UpNVl73eF4Y/DHd8Av7h6kV09V+loKS3oXl/eo6HbuPU7R3vOz6PPYX8XJkJpp2DfALAL6hyf8Io1Zi7cFzV5TQmB76G9XPV7Wv/A/FDof/tcNGf1X1fTldvqurCugGqvZKE5poG/+ijj7Jy5Uo6d+7M2LFjWbZsGaWlkpnSkiirMDH942RyisrpFxfO/13by67jZl/Tk8T24eQWlzPj452UVVTVAy3dfBKTAhd1aU3X6NCGLbLYyvXsHwp+Zu+UJ3uBNAG0tf7HGu3OUXRAdbPD3Aan9w3qiTiqG9y6CNBB8hLY9q5blyc4QGkB7F6ubg++V30A7FqqauYcwR4di6Uhao5jc9uiuv5Hwz8U2g9Vtxvzfzn9D1j5oLo97CEYeGfla2P+AV3HqL29lk2qu9myZiDZEo7XRnP1AD366KPs2rWLrVu30qtXLx555BFiY2OZMWMGycnJjbFGwcN4ec1Bdp7KITTAh3l/GoS/j31Vmv19DLz1p0GEBfiw63QOL605aHmtpNzIsm1qAcoGpb5rFFU7+YSaa0t5shDaugeYLSzagXXixaiNklzYu0LdHnJf5f5uY9WTPsCaJ9RqvILns2+FWjgwsgskXAJdr1BDWCU58MeXjs1llwEUoT670gMUFFnztcbWARVlwyd3QHkhdLoErvxX1df1Brhlkfq95p2BTyfXHh52VAANlVlgJTlq6r2H4rQGaNCgQbzxxhucPXuWZ599lnfffZchQ4YwYMAAFi9ejCIn6GbJ93+k8e4G1W37ym2JdGgdVM8RVYmPDOLV2wcAsGjDcdbsUz0yq/eeI7uwjHbhAYzpFV3HDHaincC0k0+oueiZp3qAjOWQbe4SbSsEBtDxInNH6dPe21G6sdnzqVouoE3PygraGiNnQr/b1E7gn90NF066Z42CfShKpeB58BQ1G1JvgKS71X3bHRBDF19QQ05gXwjMFRogSw2gVjVf07y5x391vYFgNP9955yEVglw2xIw2Oh7HhgBdywD/zA4tRG++3vNMWVFahFEcNAAisRSgLZ6RX4PwmkDqLy8nE8//ZTrr7+ev/zlLwwePJh3332XW265hSeffFLSzpshp84X8dfPVCHhfaM6Ma6P7Yrd9TG2dwwPXqIWJ/zbit2cPF/Ikk3qxWjS8I74GFygza/ufvZ0D1D2MfXC7BcC4e1tj/ELhnhzlqRkg9WkygXz3pp6BZ1OFYDGJqrZKcv+pKbLC57J2WRI26Ompg+wup4MmqxqaM5sg3N77Jxrl/rcqpNtg0TDlSEwixfaxvu1G6hWVS7JdX2Jhh+eUg0r32CY+IltD5RGm+5wy7uATg0dV8+w0ypnh7StWTm7LvSGys/twWEwh680ycnJVcJeffr0Yd++fWzYsIEpU6bw9NNP89NPP/HFF180xnoFN1FaYWT6x8nkl1QwsEMEj19Vi07FTv46rgdJHVuRX1LBpHe3sPt0Dn4GPROGuKgRbXX3s8UA8lAPkKUAYre6hYaiA6qdU5vVu1WfQOg/wfYY30A1EyY4Wq0p8+U0CSd6KtvM4uc+N1W9iIdEQ6/r1G1N71Uf9oZxXBkCq+6FtkZvUENT4Nr/5eQPYYu57+XN/6ssAVIX3cfBFc+o29/9HU78XvmaM+EvDS8QQjtsAA0ZMoQjR44wf/58UlNTeeWVV+jZs+rFsFOnTkycONFlixTcz7++PcDe1Fwignx560+D8PNpmJfG16DnrT8NpFWQL2cuqGLGa/vHEhXi74rlWnmAItRnSwjMQz1AWlpvbQJoDU074K0dpRsTLVuo3y2Vv3dbhLeHCR+qWWL7v4JfX2mS5QkOUHyhMkVbEz5bo+3b8ymU5tc/n5bJFFePkNelIbBaRNAark6HP70Vvp2lbl86u9JItIdRj0HfW1Qv9Kd3QY45y7shBpAXCKEdvoodO3aMNWvWcNttt+Hra7tOS3BwMO+9Z6dlLng8KRkFfGAOUf3n9gHONyetRmx4IP+ZMMDi8Liroanv1mhtMGqEwDzcA1Sb/kejrVVH6TPbG39d3kLhedj/pbo9+L46hwLQYTiMNxs+616Agw2oLiy4nt3L1Qyl6D5q6nZ1Ei6G1l3VWjt7P6t/PksmU30eoEYIgdUWgtLaYpzZap8RVxd5Z2H5nWrl817XwSU29Dx1odPB9W9B2/5Vw8MN8gB5fjFEhw2gjIwMtmzZUmP/li1b2L5dTsjNkc92qNlZV/SM5rKeLhAoW3Fpj2jmT0ri37f2Z2CHOmLzjlJcPQTm6R6gejLANKQthm12LVVP/rED6r/L10i6B4aYq8SvfAAyDjTW6gRHUJRKb97gKbZDwjpdpRdo2+K6w5gFmWriADr1Al8XLg2B1eMBiuykapJMFWqjY2cpL1YNloJ01WC8cYF6nnAUvyBzeLiNqv35/H7IMnum6xKO10ZQMzSApk+fzunTp2vsT01NlYajzZAKo4mVyakA3Da4FnFuA7mqb1tuG+wi7Y9GrWnwaZ6n+TAZK0v01+cBAmmLUR2TyeqCaSNcUhdXzVW9CWUFatqwVNl2Pyc3QtYhVcRbm5YLIPEOtchg+t66vaHndqnPUd0gIKzu93ZlCKw+DxA0PB1eUeDrmaqnJrAV3PEx+NuuyG8XEfFwuzk8fGg1oEBY+5qteezBC0JgNnLj6mb//v0MGlTzDmvgwIHs37/fJYsSPIdfj2SSmV/CO4FvccXJftD33+5ekn1U9wCFmA2gimI186IujUhTk3NS7Vdl8FfTVutDO2mm7lBd9Y5+lpMb4ad/wojp0Pt6BxdbDxkHYNWfYdBdarZOU3B8vZri7B8G/W517FiDr5om/M6l6hxvDKwsmlkfAWFw5fNqQTlXkpoM3z+pGnP9b3ft3I1JebFaTyayi2pYOtvIWEtv73dr3QZLUCT0uRl2f6wawPFDbI9zJIxjaYWRp96Y6O2rcWaT+jxAoN7MbF/svA5o01uwZznoDOrfsT3nj/roOAKu+Td886j6szPeH2ieImh/f3/S02v2cjp37hw+Pg7bU4KHs2LHGeLI4kplE4Zt73h2KwkNRbGqwWE++fgFqWmn4Hk6IEv4q5t9J9zw9pUdpY//6th7ZR9TPR2nN6sublfqiIqy4eMJqqbhx2fVJopNgeb9SZyolgpwlODWaruMgHD1zj/vjH2PjP3w6d2uDZ3lnVN/P6c2wRcPOf77dSdHf4YjP8CW+c4LywsyYf8qddseb5425o+VtXvvHDKAIswbinqj1BCK6sgC00i4WO1vdv4I5NSMrNRJyk/wozl766q50Hm0c+u0xeApMNRcRbr7OOfm8AIPkMMG0JVXXsns2bPJza3848jJyeHJJ59k7NixLl2c4F4uFJbx0/4MInRWtVJyvKB4XGmeGleHqicfT9UB1dUDrDacSYcvzYdP/qRe5A1+YCxVy+DnueD7MFbAZ/dU/n0UZ8OBVQ2ftz7yzsHB1ep20hTn52nbFx7dC1PX2f9wdeisvASWT4KCNPX3oxhVA+vCiYbP3RRYh3GcFZbv+khtvBmXZJ/nof1giOmnelB3L7M9xhEDyOBb6QFsSBjMWAGl5mtkXR6gwAiIG6xuO/K/fP4orLhXvQkaeBcMfcDppdbKNS/DrAPq/M7QHEXQr7zyCqdPn6Zjx45cdtllXHbZZXTq1Im0tDReffXVxlij4Ca+2pVKmdFEYpRVz67Gbt7nCixNCAPVui8anpoJZjGAHKit5Kh2wGRSPQqZB9Rw4LSNanPVgjQ1e6Sh3pof/g+O/6LqNvqZwzaaZ6Yx2fmhaih0GGFfzZO6CAhXBdT2Pm5bAhEd1NDZiikNq+iraTlSd6hhmAd/Uy/Yxdmq0eoNnlctjBObqD47Kiw3mWC7OXvYXi2XTqd6K0D9e6uu78s7p97w6PTQtp99c7qiIarlWF39IWpH/5dL8uCTiaqHqv1QGP+q8+HG+ghr5/zczdEDFBcXx549e3j55Zfp3bs3SUlJ/Pe//2Xv3r3Ex7tYyCq4lc92nAFgbCer2jwXvMAAqq7/0fBYD5CdKfDWWDpKn1DDWvXxy0tw8BvVszBxqRpuu+Nj9WSfuh2+ecx5cfjOj9SwB6jF18Y+p2oSTm1SGzI2FsaKyq7gjoqfXUFwa7XSrm8QHFtfGY5whs1vw55llVqO6J5qRk5IDGT8AV8+pBoInsqFk2orF50B7vrSOe/YsZ9VD6J/uKrtsZf+t6tem/NH4ES1Hm+aALpNT/vDo5ZMsBz711Ad7RwUEF5/WNvizV2v6o7qwmSClVPV7KzQdjDhI/BxUe00V2OdBeZpiSdmnKpmFxwczAMPPMC8efN45ZVXmDx5cq01gQTvZP/ZPP44m4efQc/Qtlb/wN7gjq9eA0jDE/uBKUplqml9KfDWWHeUrk9Auf8r+OVFdfu6/6phA4DIznDb++rd8e6PYfN8h5YOqMXXvnlM3b70SbUGSVgs9LxG3afd0TcGR36AvFT199zLxWJue2nbF24yV97dPA92fez4HClrVQ8aVNVyhJkvcAY/OPA1/OrBCQha+Kb9EPXGwxnvmPa3MuAOVbNnL/6hlWLx6l5HS/jLgU7mFiF0jv3HVMeeDDCNuCTwC1W9Rud21z123QtweI2a/TZxKYTGOL/GxkYTQStG12TVNQJOl/Pdv38/a9asYdWqVVUeQvNAq/0zpnc0waa8yhe8IQRm8QBVqyvkiR6gvFT1TlnvoxokjmCPDihtH3wxTd0e/jAM+FO1OS6r7BT9w1OOZaPUKL72t8rXNI/M7mWNF77RLnYD7wTfgMZ5D3vofQOMflzd/nqmY8Ly80dVA0ExqZ+jupYjfiiMf03dXj8HDnzjmjW7Gi18o4VzLN6xYPu8Y7mp5rRrnNNyaX9vB76GgozK/RYDaID9c2nJEg0KgdmRAaZh8LWvLca+z+E3s8zkujfsr3flLnz8VcMO1EKlHohTlaATExPp27cv48eP58Ybb+TGG2/kpptu4qabbmqMNQpNTFmFia92nQXgtqT4qq5gbwiBVa8BpOGJGiAt/BXZBXz8HDtWu9gcq6WjdOF5WHYHlBeqxRPHPm97nuHT1GaTikkVMtvTab68WBVQF6RDdO+axdc6XaoadGX5lS0NXMmFE2oWDKgFDd3N6Ceg57WqMWivsLwkTw0RWbQcr9nWWwy6C4Y9pG5/8SCke1i5EZMRjv2ibmtGOZi9Y2avYn3eseQP1L+/jiPV8J+jtO2nep9MFaouDFTvaqq5BYZDHqAI9bkhITBHPEBgpQOqxQA6twe+NNfZu+gRSKyjPpInYRFCe6YOyGEDaObMmXTq1ImMjAyCgoL4448/+PXXXxk8eDDr169vhCUKTc3PB9PJLiwjOtSfi7tFVXVf5pxqmNizKahXA+RJBpDWA6y748dqHaVLbXSUNpbDZ3erv69WCXDre2CopUyFTqdefOMGq7/rZX+quzS/pfhashoumGij+JpeX3kn3xhi6B1LAEVtJ9C6i+vndxS9Xg2FWYTlk+oWlptMqkg465BZy/Fh3VqOK19QvQRlBaoA1pMKNp7bpf7d+IfXNDSqeMcete0dM1ZA8hJ1uyFaLu3Y7e+rRlnuGfXCq/eBmD72z+OKEJgjHiCobItxarPagsKagkz1f7KiWK05Neafzq+rqfFwIbTDBtCmTZt47rnniIqKQq/Xo9frGTVqFHPnzuXPf/5zY6xRaGI+266Kn28aFIePQV/VFWyqUMM2nkz1GkAaFg/QOc8R5VkE0E7c9eoN0MmsF6nuOv/+KVUQ6hcCdyyr/07UN0DVm4S0Vde08sHaRbeb5lUtvhbZyfa4AZNU/cq5XZV34q6goqzyLt8d4ufa8A+1EpbvqFtYvn4OHP5OLX458aPKv83a0Ao2RnRUhcKf3eM5NyJa+KvTxbaNbIt3rJayC4fXqP+TQVGONfCsTp+b1O8+95Sqq9JuCqJ7OxYidUUWmMULbWd7n9ZdILyDWgLg5MbK/RVlanHJ3NOql/iWdxtWnLGp8fBiiA4bQEajkdBQNa4XFRXF2bNqqKRjx44cOnTItasTmpyM/BLWH84EzOEvqOkK9vQwWG3u5xCzYNBU7jl30M6kwFtjK4U2+QPY+j91++Z3ILqXfXOFxareHIM/HPoW1s+tOSblJ/jxaXW7vuJrwa2h943qtlbd1xUc/BoKM1VjrcfVrpvXFViE5QazsPztmmP++KJS0Hz9m6oI1h6CItWCjb7BaskBTTjtbo6uV5+1v8Xq1PCOVSu7YK3lakhGk2+ganRrczrbyNOVWWD2hsB0Ouhyqbpt/b+85gk4tVGtcn7HMvsNKk/Bw/uBOWwA9e3bl927VaX6sGHDePnll/n999957rnn6NzZQRGn4HF8kZyK0aQwsEMEXaPNYQ3tTshg1qh4uhC6Nvezj1+lS9YThNCKUukBinIiBAaVmosz21RNyakt8M0sdd9lT0HP8Y7N1z5JzRQD+PVl+OPLyteqFF+zIdi1heah2fu5azpsQ2W2UNLdqmfE0+hyGYzThOX/V/WCdm4PfPmwuu2MliOmT2XW2Zb5agkCd1JaAKfNzbE712IAQTXvmFXZhexjcHStOsYVWi6tJtCR7+HQd+q2wwaQFgJrQCVoRz1AYNXjz+zN3b7YfOOgg5sXOhcmdzeaAdRcRND/93//h8nsGn/uuec4fvw4F198MatXr+aNN95w+QKFpkNRFFaYa/9YvD9QGQuP6as+e6sHCDxLB1SYaf5udWpdHmdolVDZUXrPcvXu2lSupoVf/Ffn5hxwBww3Cy6/nKZ2hrZXsFudDsPVEERFsbq+hpJ5WA3t6fRN12vMGYY9ZCUsn6Iaj4VZagiovAi6XOG8lqP39WpYCVRD4vRW163bUU7+rv69RXSsP4uxhndsfmUdpy5X1B5KdYSobmoNIsWkFv0Exw0gVxZCtNcDBOZwtk5d977PYbU5q/KKp6HHVc6vxZ00txDYuHHjuPlmtUhV165dOXjwIFlZWWRkZHD55ZfXc7Tgyew+k8uRjAICfPVcmxhb+UKx+U5IO5F4ei2g4jruvqx1QO5G8/60SqhasdpRtDvH1X+DwgzVUL1xftWsLEcZ+5x6R19epFYiXjHFfsGuNTqdlTjVRqVeR9lh9v50v0rtieapVBeWf3KHWctxStVy3LqoYVqO0Y9XZp0tv1MtSeAOrNPf7TGIq3jHnoJt5vCXK7Vc1nMZ/FQD3BFcmQVmrwgaVGNJO8euuE+9qelzM4ya5fw63E1zEkGXl5fj4+PDvn37quyPjIxE11iluIUm47Ptau2fq/q0JSzAHFowGSt72mh1Jzw9BFZbIURwbSr8me1qiMPZOjfO9ACzhUV7oaifeeLSmllZjmLwgVsXq96l3FOq9sdewW51+t+uVkvOPKhWh3aWskLYtVTd9iTxc234asXqYlXj8eTval2UOz5puJZDr4eb/qde3AvSVc9SRZlr1u0IWrimiwM3v9besbJ81aju7kIPR89rITha3Y7p63h5CZdkgTnhAYKq/8tt+8MN8xqvzUVT0Jw8QL6+vnTo0AGjsZ5y3YLXUVJuZNVuc+2fwdbhL6s4uNbj58IJz8miqk5FmXpShXpCYC7wAP34DGx8Eza95dzxrjKAOl2iGhg6A9y+RPUouQJNdKs1h3REsGtNQDj0u1XddjYlXlFg1Z/Vv8eIjmrIxBsIbQsTlqrGIzo1i6ehv28N/xBVtB7YSi1J8McXrpnXXnJTVcNOp68s5GcP1t4xUI3Z2ko0OIOPX6UWKGGU48drIbCyArWchKMoiuNp8BrdzaL+oCj1d+tIRWxPxOIBaiYaoKeeeoonn3yS7GwPyaIRXML3f6SRX1JBXEQgIzq3rnxBu5PxC4XWXdXt0jzPyaKqjnUTQq2iqzWu8gApSmWfqx1LnEtJbkgKvDUB4XDvGpi61rELkT1E94Jpv8N9Pzas+Jrmsdn/lXPu8N//C/tWqDVdbpjXsPBeU9M+Sf0OH1jnei1HZKdKvVZTNJ+1Riu90G6Q4x4t3wC46wu4/QMY9ajLl8Ylf1ezprQaRI4QEA6YvS7OhMHKCtXQJDjuAYofon4vD6yDiGbQW1P7/B6aBeaw2f3WW2+RkpJCu3bt6NixI8HBVRvMJSe7sN6H0GRo4udbktqj11u5XLUTQGCEqlMJjVW9JxdOVFb59CQsd14RtjUWFg9QAzUTFgGzea4j3zueceVMD7Da0LxzjUGrhIZ7ldoNVC+UZ5PVzCVHLnqHf4Cf/qFuX/WiWm/G23BW5G4Pg+5SSxac3qwa5Y4U/WsIlvBXHdlfdREQphZKbAwMPs6XSNAb1LWV5Ko3VCFtHDteOwcZ/FXPrKM4Ek70dLQQWEWxahja25C2iXDYALrxxhsbYRmCO0nNKWZDinpXfuugasLSErNHRXMLt+pkNoCOq3e2nkZ94kNXeYC08JXG9sWOGUBF2ap2A7wzvdUZBt8Lq5JVIfNFf7bPi5N1BD6/H1Bg0N0w5P5GX6bXEdpW/ds7sEotETD+lcZ/T5Op0gPUnC7YGgERqgHkjA7IOgvVm/U7rsAvRDUEjaWq59fDDCCH/cjPPvtsnQ9nmDdvHgkJCQQEBDBs2DC2bq07rTMnJ4fp06cTGxuLv78/3bt3Z/Xq1TbHvvjii+h0Oh599FGn1tYSWLnjDIoCwzpF0qF1tTsWaw8QVKaqeqoQur4CZJoHqCBdFXg7ixa+0jJMUtY69p1o3p+w9mqNlJZA35vVdgkXTtTd9FGjJFfNnirNhfjhcM0rckGpjaZoPmtN+l41rOEXovbgam5oIT1nQmDO6n+aIzqdRwuh3R5IX758ObNmzeLZZ58lOTmZxMRExo0bR0ZGhs3xZWVljB07lhMnTrBixQoOHTrEwoULiYuLqzF227Zt/O9//6N///6N/TG8FkVRWJFsrv0z2EbM2dJWIkJ91kIhnpoKX58HKLiNKtpUTGoYy1k0D1C3sWZBrlLZz8iR41uK9wfUu7/Eiep2fXoVk1H1/Jw/AmFx5tR7B7N5WhKdRjdu89nqaOnvCRd7ZjHKhmJJhXeiFpCjjVCbOx5cDNFhA0iv12MwGGp9OMprr73G1KlTmTJlCr1792bBggUEBQWxeLHtE+TixYvJzs7myy+/ZOTIkSQkJDB69GgSE6tqIAoKCpg0aRILFy6kVSsvKx/ehGw9ns3J80UE+xm4pp+N9GbNBazdEbUye4A8tRhifR4gg09limxDMsGyrFpYaHffyR9CRal9xze0BYa3omXnHPqu7to1Pz8PR34AH3MqeUh006zPW9HrreotLWr8LM2G6n88HS3k70wIzHLTKNcdoHl5gL744gtWrlxpeSxfvpwnnniC2NhY3nnnHYfmKisrY8eOHYwZM6ZyQXo9Y8aMYdMm2/VCVq1axYgRI5g+fToxMTH07duXOXPm1EjNnz59OuPHj68yd22UlpaSl5dX5dFS+Mwsfh7fP5YgPxuSMM0FrJ0QPD0EZk8BMlfogDQDJqqHWsMkNFb9Bz/wtZ3HaxlgLkqJ9haie0HHkaAYVYPRFntXwIb/qNs3zHO8km9LJfFPqt7i3G5VbN5YlBVV1nOqq/2FN9OQEJh4gKpi8QB5ngHksAj6hhtqqvZvvfVW+vTpw/Lly7nvvvvsnisrKwuj0UhMTEyV/TExMRw8eNDmMceOHePnn39m0qRJrF69mpSUFB5++GHKy8stGqRly5aRnJzMtm3b7FrH3Llz+ec/nSxL78UUllaweq/qBbEZ/oKaGiAtBJZ/FsqLG1bBuDGweIDquPsKjVU7lDvrASq+UFXAbPBRBbq/vKiKULWaN3Xhygwwb2PwvWpRwB3vw8V/qVoD5uxO+Mqc1j3yUfu+S0EluDX0uVFtObJ9sXM1m+zh1EY1zTusfeNmt7mThoTARANUFa0WkAemwrtMAzR8+HDWrl3rqulqxWQyER0dzTvvvENSUhITJkzgqaeeYsECtUHg6dOnmTlzJkuXLiUgIMCuOWfPnk1ubq7lcfr06cb8CB7D6r3nKCoz0ikqmMEdazEYqofAglqrNYEAck41+hodpq4q0BoN9QBl2hAwD5qsFiI8uaFmhlh1SvMh1/w31tI8QAC9rlP/jrTyARoFGeaKxiXQ7Uq44hn3rdFbaYzms9WxhL8ubb6i9IaEwMQDVBWtXEpzCIHZori4mDfeeMOmELkuoqKiMBgMpKenV9mfnp5O27a2y+3HxsbSvXv3KnqjXr16kZaWZgmpZWRkMGjQIHx8fPDx8eGXX37hjTfewMfHx2YVa39/f8LCwqo8WgJa+OvWpPa1tzLR7oC0E4JOB5EJ6rYnhsHq0wABhLVTn531AFnCV1YC5vC4yrojWrfy2tC8P8HRLfMk6eOvdpOHSjF0RZnaKysvFVp3UysmN6RXVkslfphrm8/awpn2F96GS7LARAMEeHQ1aIcNoFatWhEZGWl5tGrVitDQUBYvXsy///1vh+by8/MjKSmpiufIZDKxdu1aRowYYfOYkSNHkpKSYulID3D48GFiY2Px8/PjiiuuYO/evezatcvyGDx4MJMmTWLXrl1OCbWbIyfPF7L1eDZ6Hdw8qA7DtXoIDDxbCF3cFB6gWgTMmsB398eqTqLW480GUEv0/mgk3aM+a+UDvvubqivxD1Pbb9iq4i3Uj6ubz1YnPw0y/gB00OlS187tSbgiC0xCYCoeLIJ2WAP0n//8p4q3QK/X06ZNG4YNG+ZUttWsWbO4++67GTx4MEOHDuX111+nsLCQKVPUi8nkyZOJi4tj7ty5AEybNo233nqLmTNn8sgjj3DkyBHmzJnDn//8ZwBCQ0Pp27dvlfcIDg6mdevWNfa3ZD41Nz4d1a0NseF16Hiqh8CgUgfkiR4ge9zPDe0HZskAq2bAdL5c7VOVcxL+WFnp5ahOSxVAWxPZWS0fcHSt2s08fR9qr6xFzVdX0lT0nwA/Pqv+nZ3cCAkjXTf3sfXqc2yiZ1aCdxUNaYhqjxe6JeHBHeEdNoDuuecely5gwoQJZGZm8swzz5CWlsaAAQNYs2aNRRh96tQp9FYVY+Pj4/n+++957LHH6N+/P3FxccycOZPHH3ei50sL5XxBKe//fgKAO4bU02+meggMKjPBPK0WkL1NCF3lAaouYNbrVS/QT/9Q775rNYBaaAp8dQbfqxpA6fvUn8f8A7pf6dYlNQsCwlTxePIS9e/QlQZQc09/19DOd055gOzwQrcktCwwDxRBO2wAvffee4SEhHDbbbdV2f/ZZ59RVFTE3Xff7fAiZsyYwYwZM2y+tn79+hr7RowYwebNm+2e39YcLZk3f06hsMxIv7hwxvWxrbUCVF1GuTmU4w0hsNJ8MJmbktrjASrMVLs9O1LIrbSgbgHzgDvh539B6g44uwvaDag5RvMgRbWgIoi26H4VhLZTxdB9b4WRM929oubD4CmqAbT/Kyh40fF+VrZQlObd/sIaSwgsx7HjjBVq5XIQD5CGFgIrzVOvKR5U0NRhDdDcuXOJioqqsT86Opo5c+a4ZFFC43HqfBFLt5wE4Imre1ZtfFodi/tXp7Yw0LB4gE6qPYE8Bc374xNQd3p+YCTozUZPQXrt42xRn4A5pE1lg8cdNsTQ5cWVnrOW7gEy+MCti+Gyp+CGt5pvRpE70JrPmsph11LXzJmxX/1/8Q1SxdbNGS0EZixV/2ftxdpjZO01b8kERKgZsuBxXiCHDaBTp07RqVOnGvs7duzIqVMemBYtVOGVHw5RblS4uFsUI7vWNGSrYAl/hVdtXBnWHvQ+6smhoV3VXYm94kO93vkwWGYt+h9rNBHqns+gpFpRzfMpahuOgAipbgzQcQSM/rvn1ZNqDgwx12Tb8Z5rblS09hcdR6qZfM0Zv5DKi7YjYTDtJiwgvGp9q5aMXl95s+hhQmiHDaDo6Gj27NlTY//u3btp3boZi+KaAXvP5LJqt2qwPHG1Hd4HSwZYNXG7wQfCzdohT9IBOSI+tBhADgqh7REwd7xI1QeVF9ZMRbY2oMTjITQmfRxsPlsfLUX/A+r/pjNhMHuyUFsiHiqEdtgAuuOOO/jzn//MunXrMBqNGI1Gfv75Z2bOnMnEiRMbY42Ci3hpjXrxvnFAO/q0syPNuHojVGs8sSWGRXxoRzaisx4gLQRWV/iqSirye1VTke3xIAmCK/ALggF3qNv1NZ+tj/IStXo3NN/2F9VxJhNMiiDaJtgzq0E7bAA9//zzDBs2jCuuuILAwEACAwO58sorufzyy0UD5MH8diSTDSlZ+Bn0/OVKOy++2j++rVi2JwqhHfIAOZkKr3mA6hMwJ04An0C1ZsrprTWPb+n6H6FpSLJqPpub6vw8pzerFbpD2qr93FoCzmSCSRsM22jnZG/3APn5+bF8+XIOHTrE0qVLWblyJUePHmXx4sX4+XmOuluoxGRSePE79cJ75/COxEcG2XdgbSEwqKwF5EkhMEcKkDnjASovsV/AHNgK+t6iblvffbfkHmBC0xPds7L57M5ams/ag3X4q6WEbp0JgYkHyDYe2g/M6VYY3bp147bbbuPaa6+lY8eOrlyT4GK+3nOWP87mEervw4zLu9p/oLeFwBrbA+SogHmIOQz2xxfqidFYrs4BEgITmg4tHLtjiZqm7QyaALq5p79b40wITDxAtvHQatAOG0C33HILL730Uo39L7/8co3aQIL7Ka0w8u/vVd3JQ5d2ITLYAS+dt4XAGtsDZC2AtucuuN0gtWKusRR2fQzZx9Q6RX4hEN7e/vcVhIbQ6zr1Drx681l7KcyCNHPiS+dLXbo0j8aZEJh4gGzTXETQv/76K9dcc02N/VdffTW//vqrSxYluI6lm09x5kIx0aH+TBmZ4NjB9oTAii80XtdpR2lsD5CjAubqfZkyDqjbUd1aThhBcD+2ms86gtb+IqZfyyrd4ExDVGmEaptgz6wG7bABVFBQYFPr4+vrS15eno0jBHeRV1LOmz8fAeCxsd0J8nOwLkVdITD/EAg2V5f1FB2QMx6g4guqtscespxoYdH3VvALheyjsO1dx48XBFdQvfmsI1j0P5e6ckWejzMNUbVMVPEAVaW5eID69evH8uXLa+xftmwZvXv3dsmiBNfwzi/HuFBUTpc2wdyW5ETIpa4QGHheGMwRD1BAhFoxGqDAzjBYbT3A6sI/RM0IAzjxm/os+h+hqYnspDafRYEd79t/nKK0TP0PVJ73RAPUcCz9wDzLAHK4VOXTTz/NzTffzNGjR7n8cvUfYu3atXz88cesWLHC5QsUnCMjr4R3NxwD4O9X9cTH4ITeva4QGKgn1TNbPUcI7UgTQp1O9QJdOKHqgLSQXm00RMA8+N5K7w9IBpjgHrTmszs/gsuetK+ac9ZhVTtk8IcOIxp/jZ6EMyGwIgmB2UQTQRdfAJMR9Ab3rseMwwbQddddx5dffsmcOXNYsWIFgYGBJCYm8vPPPxMZKVavp/Cfn45QUm5iUIcIruwd49wkdYXAwCoV3gMMIGM5lOWr2/a6n0NjVQMoz452Hg0RMMf0gfjhai0VEA+Q4B6sm89ufAPiBtd/zJEf1OeOF7W8diWOhsAUxTEvdEtC8wApJtWgDPaMrhFONSsZP34848ePByAvL49PPvmEv/71r+zYsQOj0ejSBQqOk5JRwKfb1Y7ls6/phc4Zwa2iOBACO+H4/K7GcpLSqX147MGRTLBMqw7uznyfg+9VDSCDf/3eJkFoDAw+kHQ3rJ8LP7/g2LEtof1FdRwNgZUVgrFM3ZYQWFUMvup5uSRXDYN5swEEajbYokWL+Pzzz2nXrh0333wz8+bNc+XaBCd55ftDGE0KY3rFMCTByX/E8iKrf+Y6QmAA2Secew9XYnE9R9jvXnUkE6yhLSz63AgnfoXo3h7j/hVaIEMfgFOboSDD/mOCW0PiHY23Jk/FOgSmKPXf+GjeH4Mf+AU36tK8kqAo1QAqzPIYL7hDBlBaWhrvv/8+ixYtIi8vj9tvv53S0lK+/PJLEUB7CDtOXmDNH2nodfD4VQ34I9Pi3nqf2v+ZNQ9Q3hmoKAMfN1YCd0Z86JAHyI4mqHXh4w83yA2C4GaCImHyl+5ehXeghcAUI5TmQ0BY3eOts1ClzEVNgqPUbFgPEkLbrYy97rrr6NGjB3v27OH111/n7NmzvPnmm425NsFBFEXhJXPLi9uS4ukWE+r8ZJrbN7BV7f/MIdHgG6TGdXNOOf9ersCZAmSh7dRnezxAzqTAC4LgvfgGqiFrsC8MJvqfutF0QB6UCm+3AfTdd99x33338c9//pPx48djMIgb39NYeyCDrSey8ffR8+jYbg2bTNPU1Kb/AdUw8pSeYI3pATIZIUutp1RvE1RBEJoPjmSCOVKHrCUS5HnFEO02gDZs2EB+fj5JSUkMGzaMt956i6wsz7HkWjoVRhMvrVG9P/eO6kRseAMzNiwp8BF1j/OUWkDOpJ9aNED1GEA5J9VO2CJgFoSWhSOZYNqYIEmBt0mw5zVEtdsAGj58OAsXLuTcuXM8+OCDLFu2jHbt2mEymfjxxx/Jz89vzHUKdWAyKfxtxR6OZBQQHujLQ6O7NHxS6xBYXXhKU1Rn3M+h5vIAZflqjL82MrUO7t1FwCwILQlHGqKKB6huPLAatMPV8YKDg7n33nvZsGEDe/fu5S9/+Qsvvvgi0dHRXH/99Y2xRqEOFEXh6a/28cXOVHz0Ol67PZHwQN+GT2xPCAw8JwTmzMnHP1RtUwGQn177OIsAWsJfgtCisDREzal/rGiA6sYDO8I7UR64kh49evDyyy9z5swZPvnkE1etSbATRVF48buDLN1yCp0OXpswgCt6OVn0sDreFgJz1v1s0QHVIYTOFAG0ILRInAmBiQfINhYPkBeGwOrCYDBw4403smrVKldMJ9jJWz+n8L9f1XYXc2/qx/WJ7Vw3uaMhsAsn1FoZ7sJZ97M9QuisBtYAEgTBO3EmBCYeINsEe14/MJcYQELTs3jDcV79UdWmPH1tbyYO7eDaN7A3BBYeDzq9WjixoI4wUmPjrPu5vmKIiuJcE1RBELwfSwjMHg+QaIDqxDoN3p03y1aIAeSFfLrtNM99sx+Ax8Z0575RnVz/JvaGwHz8IMzcG8udOqDG8gDlpUJZgVoQMrKz8+sTBMH7sITAcuofKx6gutFCYKbyupNOmhAxgLyMb/ac5YmVewCYenEn/nxF18Z5I0s82w5NTWSC+uyuTLCGNCGszwOkeX8iu7i30rUgCE2PIyEw8QDVjV+QWjgXPCYMJgaQF/HzwXQeXbYLkwJ3DI3nSWcbndpDfY1QrWmoELqh7tDSfLVTO7jeA2QRQEsGmCC0OOwNgRkr1D5X4FgtspaGhwmhxQDyEjYezeKhj5KpMCncMKAdL9zYr/GMH7AKgdnjAWpALSCTCT64HuaPhPISx4+HyjsvnwD1LsMR6vUAaSnwkgEmCC0Oe0Ng1h4iMYBqx8OE0GIAeQE7T11g6pLtlFWYGNMrhlduS8Sgb0Tjx2SyygKLqH98Q2oBHf8Fjv8K6fsg4w/Hj4eGFSCz9gDZ8kRlmYsgigEkCC0Pe0Ng2jnIPxwMDvUYb1l4WDFEMYA8nAPn8rjnvW0UlhkZ2bU1b/1pIL6GRv61leWrDU6h8UNg2xdVbmvhJkex1ABqgAFUUVzpwtZQFMg4oG5LDzBBaHlo57+SXLUnYG1YNIji/amTIPEACXZyLLOAuxZtIbe4nEEdInjnrsEE+DZBKwbN3esTCL4B9Y/XQmCFmY6p+/POwcHVlT831AByxvXsG1h5kquuAyrMNN/56SCqgc1lBUHwPqw94NVvkKyRNhj24WH9wDzCAJo3bx4JCQkEBAQwbNgwtm7dWuf4nJwcpk+fTmxsLP7+/nTv3p3VqysvpHPnzmXIkCGEhoYSHR3NjTfeyKFDTl5c3cjz3+wnq6CM3rFhvDdlKMH+TeRatRgUEfaNDwivND4cCYPt/BAUI2AO5zlrADU0/bQ2HZC2nlYJqqEkCELLwuALfiHqdl1hMGmDYR+WWkBiAAGwfPlyZs2axbPPPktycjKJiYmMGzeOjIwMm+PLysoYO3YsJ06cYMWKFRw6dIiFCxcSFxdnGfPLL78wffp0Nm/ezI8//kh5eTlXXnklhYWFTfWxXMLRTHW9z17X2zX9vezFkQwwjVZWFaHtwVgBO95XtwfeqT5rgmNHaWj6aW2ZYBYBtBRAFIQWiz2ZYOIBsg8P6wfmdrXWa6+9xtSpU5kyZQoACxYs4Ntvv2Xx4sU88cQTNcYvXryY7OxsNm7ciK+vahQkJCRUGbNmzZoqP7///vtER0ezY8cOLrnkksb5II1AZn4pADFhdoShXIkjGWAakZ3gbLL9mWApP6pFBoNaw+jHVW9QzkkoL3bc29LYHiAxgASh5RLYCvLO1J0JJh4g+xARdCVlZWXs2LGDMWPGWPbp9XrGjBnDpk2bbB6zatUqRowYwfTp04mJiaFv377MmTMHo7F2gVpurhq7jYy0/cdZWlpKXl5elYe7KSytoLhc/UxtQv2b9s0dDYGB40LobWbx84BJEN5evctSTHA+xf731GgsD1CWNEEVhBaPPQ1RxQNkHx7mAXKrAZSVlYXRaCQmpmoH85iYGNLSbBemO3bsGCtWrMBoNLJ69WqefvppXn31VV544QWb400mE48++igjR46kb9++NsfMnTuX8PBwyyM+Pr5hH8wFaN6fID9D02l/NJwKgSWoz/aEwC6cgJSf1O2ke0CnqzQynNEBWU4+TmZg1OcBkh5ggtByCQhXn0UD1HBEA9QwTCYT0dHRvPPOOyQlJTFhwgSeeuopFixYYHP89OnT2bdvH8uWLat1ztmzZ5Obm2t5nD59urGWbzeZBaoBFBXSxN4fcC6rypFiiDuWAAp0vgxad1H3aWEmZ3RADT35hGkGkJXRXXyhsrmrVIEWhJaLdh6sKwRW1IBM1JaEZgCVF6pyBzfjVg1QVFQUBoOB9PSqXcTT09Np27atzWNiY2Px9fXFYKhMB+/VqxdpaWmUlZXh51fZr2nGjBl88803/Prrr7Rv377Wdfj7++Pv7wZDow6yzB6gJg9/gf2NUK3RQmC5p1WBc23FwCrKVL0PwOB7K/dbDKCGeIBcqAHKNBdADGsP/qHOzSsIgvdjTwhMPED2ERAOel+1IWrReVX+4Ebc6gHy8/MjKSmJtWvXWvaZTCbWrl3LiBEjbB4zcuRIUlJSMJlMln2HDx8mNjbWYvwoisKMGTP44osv+Pnnn+nUqRG6pTcymgeojTs8QJYq0A7czYTGgsFf7cmVW4cH7eA3an2d0FjocXXl/oYYQA0phAhVNUDa35VkgAmCAFbFEHNqHyMaIPvQ6azCYO7XAbk9BDZr1iwWLlzIkiVLOHDgANOmTaOwsNCSFTZ58mRmz55tGT9t2jSys7OZOXMmhw8f5ttvv2XOnDlMnz7dMmb69Ol89NFHfPzxx4SGhpKWlkZaWhrFxe53udmLpgGKCnVDB3LNoHBEA6TXQ6uO6nZdOqDti9XnQZPVGhsamgYo+ygYy+1/X2M5lJpF686efELMGjRTeeWdnGSACYIA9YfAFKXhN2EtCQ8SQrs9DX7ChAlkZmbyzDPPkJaWxoABA1izZo1FGH3q1Cn0+ko7LT4+nu+//57HHnuM/v37ExcXx8yZM3n88cctY+bPnw/ApZdeWuW93nvvPe65555G/0yuIMviAWriFHhwLgQGahgs67A5E+yymq9nHoYTv4FOrxpA1oTFqQXHygog+5j9hofFLa1zfL0aBl8IbqN6pvLPqf+g4gESBAHqb4haXgTGUvNYMYDqxYOE0G43gEDV6syYMcPma+vXr6+xb8SIEWzevLnW+RRbTS29jEx3aoCcCYFB/ULoHe+pz92vqhn71enUfltnk1Xjw17DQ3M9B4SDvgFtQkLbmg2gNGjbT5qgCoKgUl8ITDsHGfzAL7gpVuTdeFA/MLeHwATbWEJgIe4IgeWoz46EwKDuWkDlxbBrqbptLX62xplUeFeJD62F0KX5lTomaYIqCC2b+kJgxVZlOHS6JlmSVxPsOcUQxQDyULIKygA3eIBMRitNTYRjx9ZVC+iPL9RmghEdoMvlto/X0s0dMYBcJT60FkJr3p/gaInpC0JLp74sMBFAO0aQ5zREFQPIA1EUxcoD1MQGkHXHY0c9QJYQ2AlVGGiNJn5OmlJ7qMpTPEBaCrzofwRB0DxA5YW2EzQkBd4xgrUQmBhAgg3ySiooM6rp2G5rg+EXWnstn9qI6AjooCy/6h/3uT1wZpta/0FrfGoLzeDIOqx6ohxZrys9QCKAFgRBwz8cMIe2bIXBGlqJvqXhQf3AxADyQDTvT2iADwG+DRD2OoOzGWAAvgEQ1k7dthZCa96fXtdBSHTtx0d0VGsJGUvVxqj20NBGqBpVPEDSA0wQBDN6PQSEqdu2wmCSAu8YHpQGLwaQB2LJAHNrG4wI546vrgMqzYe9n6nbtYmfNfSGStGxvWGwhjZC1aiiAZIaQIIgWKF5d2xlgokGyDGkEKJQF1oNoCh3psA7qv/RqJ4JtudTtbZP626QMKr+4x3tCWbxADXQ/ax5gArSK403aYIqCAJUng9teoBEA+QQWgisJMexoreNgBhAHohbawA11AMUmaA+Zx9XhdDbzbV/Bt9rX4qoxQA6bN/7uUoDFNxGLdComNRHQETd4TpBEFoOdRVDFA+QYwRFUqmpqqO/WhMgBpAH4tY+YBYNkJMeFYsH6ASc2Q7pe8EnAAbcYd/xTnuAGnjy0RsqW2KAqv+Rmh6CIEDdITDxADmG3lD5fbo5DCYGkAfi1k7wrgyBbV+kbve9xX6DShMeZx2umUpvC1dpgKBSBwSVNYkEQRDqCoGJB8hxPEQILQaQB+LVHiCtFlD+Odi3Ut2uT/xc5fjOoPdRdUN5qXWPVRTXeYCgUgcEkgEmCEIldYXAxAPkOB6SCi8GkAdSKYJ2Yyd4ZzVAga3MdTNQ09nb9oO4JPuPN/hCZBd1u74wWFmB2sFde9+GUsUDJAJoQRDM1BYCM1ZUFo8VD5D9aMaim4shigHkgVSmwbuhE3xDQ2A6HbTqWPmzveJnayw6oHpS4S1NCP3BN8ix97CFtQdIMsAEQdCoLQRmbRBJIUT78ZB+YGIAeRgmk2LpA+YeD1CO+tyQf2YtDOYXCv1uc/x4ew0ga9ezKwTLmgfIL6Rmt3pBEFoutTVE1W7C/MMdr5zfkvGQfmBiAHkYOcXlGE2q+Ld1sBemwQO07a8+D7gD/EMdP97enmCuFh+27qY+xyZKBpggCJVo58PqIbBiF9Uha2l4iAhaTFYPQwt/tQryxc/HDfZpQ0NgAMMfhtZdocfVzh1vnQqvKLUbI64uQd9hOEz4qNKAEwRBgNpDYNIHzDk6joQr/wXRvdy6DDGAPAy3dYEHqCiF8iJ1uyH/0H5B0OdG549v3RXQqcZYYWbtBQldffLR6dR+ZYIgCNZYh8Csb8pcVYi1pRHbX324GQmBeRhaBph7qkDnmDd04B/W9O+v4RtY2VOsrkwwST8VBKEp0EJgxlIoL67cL+cgr0YMIA/DrW0wLOGvcLUDsjuxRwckBcgEQWgK/EJAZ1C3rXVAcg7yasQA8jAsNYDc2gneA+LZbezoCi93X4IgNAU6ne1MMDkHeTViAHkY7m2EmqM+NyQDzFVYPEB1hcAk/i4IQhNhqQZtJYQWD5BXIwaQh+HWNhiaa9cjPEB21AJyZRsMQRCEutAywaxDYK7ORBWaFDGAPAxLFphbPEDmf+aGpMC7iihzCKwwo9LQqY4rG6EKgiDUha0QmKTBezViAHkYWR7RCDWi6d+7Ov6hEGauxpx12PaYIrn7EgShibAVAhMNkFcjBpAHUWE0cb7QjW0wPCkEBlULIlbHWAGl0oRQEIQmonpDVEURDZCXIwaQB5FdVIaigF7n5jYYnhACAysDyIYHyHIXpvMMj5UgCM0bSzXoHPW5vEitCwTiAfJSxADyIDT9T2SwPwa9G3pReVIIDOr2AGmu54Bw0Buabk2CILRMqofANO+P3letEyR4HdIKoynJOgJHfqj1Zf+MAu4znCLaxx821dMI1CY66DqmsoaOo3hSHSCouxiiZIAJgtCUVA+BWet/pHmyVyIGUFNybjd8/2StL3cFnvYFSoDvnXyPnR/Cw5ucO9YVjVBdiZYJlncGSvOrdpYvluwLQRCakOoNUUX/4/WIAdSURHSAfrfX+vLh9Hz+OJdHh8ggkjo4eGE3VcAfKyHjgNqrxjfQ8fV5WggsKBKCo9VU+KzDEJdU+ZqcfARBaEosIbAc87N4ob0djzCA5s2bx7///W/S0tJITEzkzTffZOjQobWOz8nJ4amnnmLlypVkZ2fTsWNHXn/9da655hqn52wS4oeqj1pY/s1+Fp06zoM9OpN0TS/H5lYUOLZOvTvJOuJ4p11F8bwQGKg6oMIMNQxmbQDJyUcQhKakeghMagB5PW4XQS9fvpxZs2bx7LPPkpycTGJiIuPGjSMjI8Pm+LKyMsaOHcuJEydYsWIFhw4dYuHChcTFxTk9p6fQoDYYOl2lZqa2ujl1UV4EpnJ121NCYFB7RWjxAAmC0JRYZ4F56g2j4BBuN4Bee+01pk6dypQpU+jduzcLFiwgKCiIxYsX2xy/ePFisrOz+fLLLxk5ciQJCQmMHj2axMREp+f0FCxVoJ0tgqhpZurqn1UbmltX7wt+wc69f2NQmxBaPECCIDQlWghMMaqaREnE8HrcagCVlZWxY8cOxowZY9mn1+sZM2YMmzbZFvKuWrWKESNGMH36dGJiYujbty9z5szBaDQ6PWdpaSl5eXlVHu7AUgXa2TYY9jQQrQ3L3UyEZ2U01JYKL+5nQRCaEt9A8AlQt0typBVPM8CtBlBWVhZGo5GYmJgq+2NiYkhLS7N5zLFjx1ixYgVGo5HVq1fz9NNP8+qrr/LCCy84PefcuXMJDw+3POLj413w6Rwns8EGUB2FA+vD0zLANKLMnynnpCru1pAmhIIgNDXWmWByDvJ63B4CcxSTyUR0dDTvvPMOSUlJTJgwgaeeeooFCxY4Pefs2bPJzc21PE6fPu3CFdtHWYWJnCJVg+N0CEwzgLKPQkWZY8daMsA8zKMSEq2edBQTnE+p3C8aIEEQmhrrTDA5B3k9bs0Ci4qKwmAwkJ6eXmV/eno6bdu2tXlMbGwsvr6+GAyV1X979epFWloaZWVlTs3p7++Pv78bWk9Ycb5Q9f746HVEBPo6N0lYnFqRtKwAso9BdE/7j7UOgXkSmrj79GZVB9S2n7pfNECCIDQ11plgcg7yetzqAfLz8yMpKYm1a9da9plMJtauXcuIESNsHjNy5EhSUlIwmUyWfYcPHyY2NhY/Pz+n5vQErAXQemfbYOh0lV6gLAcrSXtqCAwqK1trQugqGRhy8hEEoYmwDoGJB8jrcXsIbNasWSxcuJAlS5Zw4MABpk2bRmFhIVOmTAFg8uTJzJ492zJ+2rRpZGdnM3PmTA4fPsy3337LnDlzmD59ut1zeiKaALrBXeCjakkbrw9PTumsLu4uKwSjOcQnd1+CIDQV2vmx6DyU5Krbcg7yWtxeCHHChAlkZmbyzDPPkJaWxoABA1izZo1FxHzq1Cn0+ko7LT4+nu+//57HHnuM/v37ExcXx8yZM3n88cftntMTsdQAclb/o1FXA9G68LQq0NZUrwWkuZ4N/uAb5J41CYLQ8tDOjxdOAIp5nwfeNAp24XYDCGDGjBnMmDHD5mvr16+vsW/EiBFs3rzZ6Tk9kQYVQbTG4i1xMBPMk0NgUVbibmN51fobnpSyLwhC80Y7P2YfV5/9w8DgpGZTcDtuD4EJKlkFakjH6QwwDU0vk3UYTEb7j/PkEFh4e1XcbapQxd1Sf0MQBHegnR/PH636s+CViAHkIbjMAxTRUS3WZSw1u2ntxJNDYDpd1SrXUoFVEAR3oJ0f88+qz3IO8mrEAPIQGtwGQ0NvgKhu6rYjPcE8OQQGVYs8erK3ShCE5kv186N4ob0aMYA8hAa3wbAmygkhtKcbFdbibvEACYLgDqqfH+Uc5NWIAeQhuCwEBrU3EK0Nk6kypdMTQ2BQ9TMVSx8wQRDcQPXzo3iAvBoxgDyAknIj+aUVgAtCYFAzbbw+yvLVVhPguSEwTQN0/ggUZqnbcvIRBKEpqX5+FA+QVyMGkAegeX/8fPSEBbigMoG1AaQo9Y/Xwl8+geAb0PD3bwxaJah1fypK4OxOdZ+cfARBaEpqeIDEC+3NiAHkAVi6wIf4o3NFXZvIzqD3gfJCyD1T/3hPzgDT0BsqvUDZWgqqGECCIDQhBl+1JIeGnIO8GjGAPIAsLQPMFfofUP9JW3c1T25HGMzTBdAaWo0jDfEACYLQ1FifJ4M8/Jwp1IkYQB6AtQfIZURVayBaF56eAq/Rplp3e7n7EgShqbE+T8o5yKsRA8gDcGkGmEb1BqJ14Q0hMKjUNmmIB0gQhKbG+jwp5yCvRgwgD8BSAyikgZ3grbEuHFgf3hICi6pmAHm6x0oQhOaHtQEkHiCvRgwgD6BxPEBWhQPrywTzlhCYJu4GCAgHg0f08hUEoSWhnSf1PuAf6talCA1DDCAPwGVtMKxp3RV0etW4Kcioe6y3hMB8/CCyi7otd16CILgD7TwZGKn2KRS8FjGAPACtE7xLPUC+gWrtHKg/E8xbQmBQmQkmsXdBENyBdp6Uc5DXIwaQB9AoITCw6glWjwHkLSEwqBR3iwdIEAR3oJ0n5Rzk9YgB5GYKSysoLjcCLg6BQVUdUF1YQmBe4AHqfrVaiKzrGHevRBCElkiHEeAfDt3kHOTtiIrUzWjenyA/A8H+Lv512NsU1Vs0QADtk+CJ06AX210QBDcQ0xsePyHnoGaA/AbdjKUIoqvDX1Cpl2lOITCQE48gCO5FzkHNAvktupmsxsgA09CqQRdmQFG27THGCijNU7e9IQQmCIIgCC5ADCA30yhtMDT8QyE8Xt3OqqUgYklu5XZAuOvXIAiCIAgeiBhAbqbRMsA0LD3BahFCa+Evv1ApLCgIgiC0GMQAcjNaG4xGCYFB/UJob6oBJAiCIAguQgwgN9PoHqA29dQCsmSASfhLEARBaDmIAeRmKttguLARqjX1GUDelgEmCIIgCC5ADCA30yhtMKzRNEB5Z6A0v+brEgITBEEQWiBiALkRRVEaPwQWFAkhMeq2rUwwbyqCKAiCIAguQgwgN5JXUkGZ0QQ0oggarDLBbITBtBCYeIAEQRCEFoQYQG5E8/6EBvgQ4GtovDeyZILZSIXXQmCiARIEQRBaEGIAuZFGD39pWITQEgITBEEQBPAQA2jevHkkJCQQEBDAsGHD2Lp1a61j33//fXQ6XZVHQEBAlTEFBQXMmDGD9u3bExgYSO/evVmwYEFjfwyHafQaQBp1dYUXEbQgCILQAnF76d/ly5cza9YsFixYwLBhw3j99dcZN24chw4dIjo62uYxYWFhHDpUqWfR6XRVXp81axY///wzH330EQkJCfzwww88/PDDtGvXjuuvv75RP48jNJ0HyBwCu3ACyovBN7DyNUmDFwRBEFogbvcAvfbaa0ydOpUpU6ZYPDVBQUEsXry41mN0Oh1t27a1PGJiYqq8vnHjRu6++24uvfRSEhISeOCBB0hMTKzTs+QOGrUPmDXBbcweHgXOp1R9TUJggiAIQgvErQZQWVkZO3bsYMyYMZZ9er2eMWPGsGnTplqPKygooGPHjsTHx3PDDTfwxx9/VHn9oosuYtWqVaSmpqIoCuvWrePw4cNceeWVjfZZnCGrqTxAOh1E1VIQUUJggiAIQgvErQZQVlYWRqOxhgcnJiaGtLQ0m8f06NGDxYsX89VXX/HRRx9hMpm46KKLOHPmjGXMm2++Se/evWnfvj1+fn5cddVVzJs3j0suucTmnKWlpeTl5VV5NAVN5gEC2zqgilKoKFa3JQQmCIIgtCDcrgFylBEjRjBixAjLzxdddBG9evXif//7H88//zygGkCbN29m1apVdOzYkV9//ZXp06fTrl27Kt4mjblz5/LPf/6zyT6DhkUEHdpIbTCssdUUVQt/oQP/sMZfgyAIgiB4CG41gKKiojAYDKSnp1fZn56eTtu2be2aw9fXl4EDB5KSompbiouLefLJJ/niiy8YP348AP3792fXrl288sorNg2g2bNnM2vWLMvPeXl5xMfHO/ux7MYigg4JqGekC2hjoxiiJfwVAXq3y8EEQRAEoclw61XPz8+PpKQk1q5da9lnMplYu3ZtFS9PXRiNRvbu3UtsbCwA5eXllJeXo692QTcYDJhMJptz+Pv7ExYWVuXR2JhMSuP3AbNG8wBlHwVjubotGWCCIAhCC8XtIbBZs2Zx9913M3jwYIYOHcrrr79OYWEhU6ZMAWDy5MnExcUxd+5cAJ577jmGDx9O165dycnJ4d///jcnT57k/vvvB9QU+dGjR/O3v/2NwMBAOnbsyC+//MIHH3zAa6+95rbPWZ2c4nKMJgWA1o3VCd6asDjwC4GyAsg+pmqCJANMEARBaKG43QCaMGECmZmZPPPMM6SlpTFgwADWrFljEUafOnWqijfnwoULTJ06lbS0NFq1akVSUhIbN26kd+/eljHLli1j9uzZTJo0iezsbDp27Mi//vUvHnrooSb/fLWhhb9aBfnia2gCR5xOp/YEO5usCqHb9JAMMEEQBKHF4nYDCGDGjBnMmDHD5mvr16+v8vN//vMf/vOf/9Q5X9u2bXnvvfdctbxGocmKIFrTpqfZADLrgCQEJgiCILRQRPnqJpqsDYY1barVAhIPkCAIgtBCEQPITbjHA1TdAMpRn0UDJAiCILQwxAByE01aBFFDM4CyDoPJKCEwQRAEocUiBpCb0NpgRDWlByiiI/gEgLEUck5KCEwQBEFosYgB5Cbc4gHSG6B1N/MCDkkITBAEQWixiAHkJjLd4QGCqj3BJAQmCIIgtFDEAHITWe7wAIFVT7DDEgITBEEQWixiALmBCqOJ84VN2AbDGktPsAMSAhMEQRBaLGIAuYHsojIUBfQ6iAxugjYY1mgeoPT9YDL3BJMQmCAIgtDCEAPIDWj6n8hgfwx6XdO+eWRn0PuomWAAel/wC27aNQiCIAiCmxEDyA24pQiihsEXIrtU/hwYofYJEwRBEIQWhBhAbiCrQNX/RDVFF3hbaJlgIAJoQRAEoUUiBpAbcKsHCCp1QCD6H0EQBKFFIgaQG7CkwLvNALL2AEW4Zw2CIAiC4EbEAHIDFg9QU9cA0pAQmCAIgtDCEQPIDbg9BNa6K+jMv3oJgQmCIAgtEDGA3IAWAotylwfIN1BtjAoSAhMEQRBaJGIAuYFMd2uAAKJ7q8/Bbdy3BkEQBEFwEz7uXkBLo6zCRE6RWoHZbRoggEufgIh46HOz+9YgCIIgCG5CDKAm5nyh6v3x0esID/R130Ji+6sPQRAEQWiBSAisidEE0FEh/uibug2GIAiCIAiAGEBNjtszwARBEARBEAOoqanMAHNTGwxBEARBEMQAamrEAyQIgiAI7kcMoCamshGqGECCIAiC4C7EAGpixAMkCIIgCO5HDKAmRgwgQRAEQXA/YgA1MW5vgyEIgiAIghhATY14gARBEATB/YgB1ISUlBvJL60AxAASBEEQBHciBlATonl//Hz0hPpLFxJBEARBcBceYQDNmzePhIQEAgICGDZsGFu3bq117Pvvv49Op6vyCAgIqDHuwIEDXH/99YSHhxMcHMyQIUM4depUY36MerF0gQ/xR6eTNhiCIAiC4C7cbgAtX76cWbNm8eyzz5KcnExiYiLjxo0jIyOj1mPCwsI4d+6c5XHy5Mkqrx89epRRo0bRs2dP1q9fz549e3j66adtGkpNSZbofwRBEATBI3B7HOa1115j6tSpTJkyBYAFCxbw7bffsnjxYp544gmbx+h0Otq2bfv/7d17TFMH+wfwb7m0AiKgCBQvCKIIKjhRWdVXpxABlwXRZZjxbphtEhSdl2mmc4q6LBBN3OZi0GVT/5iRDTe8zOhUFBYVbyiCTpkYIhq5qJvcFDX0+f1h6O+tonJpOWv7/SQnac85PXyfPBCenHPavvCYK1aswNSpU7Fu3TrDuoEDB5o2eAc8fNIMF7U93wFGRESkMEXPAD1+/BiFhYWIiooyrLOzs0NUVBQKCgpe+LqGhgb4+fmhX79+iIuLw+XLlw3b9Ho99u/fj8GDByM6OhpeXl6IiIjA7t27X3i8R48eoa6uzmgxh7gRfXB5bQwy/zvSLMcnIiKitlF0ALp79y6am5vh7e1ttN7b2xtVVVWtviYoKAhbt27Fnj178OOPP0Kv12Ps2LG4desWAKCmpgYNDQ3IyMhATEwMDh06hPj4eEyfPh35+fmtHjM9PR1ubm6GpV+/fqYt9BmO9opfeSQiIrJpil8Cay+dTgedTmd4PnbsWAQHB2PLli344osvoNfrAQBxcXFYtGgRAGDEiBE4efIkNm/ejIkTJz53zOXLl2Px4sWG53V1dWYfgoiIiEg5ig5Anp6esLe3R3V1tdH66urql97j878cHR3x2muvoayszHBMBwcHhISEGO0XHByM48ePt3oMjUYDjYb35RAREdkKRa/FqNVqhIeHIzc317BOr9cjNzfX6CzPyzQ3N6OkpARardZwzNGjR6O0tNRov7/++gt+fn6mC09EREQWS/FLYIsXL0ZSUhJGjRqFMWPG4Ouvv0ZjY6PhXWHvv/8++vTpg/T0dADA2rVr8frrryMwMBD379/H+vXrcePGDXz00UeGYy5duhQJCQmYMGECJk2ahIMHD2Lfvn3Iy8tTokQiIiL6l1F8AEpISMCdO3ewatUqVFVVYcSIETh48KDhxuiKigrY2f3/iap//vkHs2fPRlVVFTw8PBAeHo6TJ08aXfKKj4/H5s2bkZ6ejo8//hhBQUH45ZdfMH78+C6vj4iIiP59VCIiSof4t6mrq4Obmxtqa2vRo0cPpeMQERFRG7Tn/zffj01EREQ2hwMQERER2RwOQERERGRzOAARERGRzeEARERERDaHAxARERHZHA5AREREZHMU/yDEf6OWj0aqq6tTOAkRERG1Vcv/7bZ8xCEHoFbU19cDAL8RnoiIyALV19fDzc3tpfvwk6Bbodfrcfv2bbi6ukKlUpn02HV1dejXrx9u3rxp1Z8ybQt12kKNAOu0NqzTethCjUD76hQR1NfXw9fX1+hrtFrDM0CtsLOzQ9++fc36M3r06GHVv7AtbKFOW6gRYJ3WhnVaD1uoEWh7na8689OCN0ETERGRzeEARERERDaHA1AX02g0SEtLg0ajUTqKWdlCnbZQI8A6rQ3rtB62UCNgvjp5EzQRERHZHJ4BIiIiIpvDAYiIiIhsDgcgIiIisjkcgIiIiMjmcADqQps2bcKAAQPQrVs3RERE4MyZM0pHMqnVq1dDpVIZLUOGDFE6Vqf98ccfeOutt+Dr6wuVSoXdu3cbbRcRrFq1ClqtFk5OToiKisK1a9eUCdsJr6pz1qxZz/U3JiZGmbAdlJ6ejtGjR8PV1RVeXl6YNm0aSktLjfZpampCamoqevXqhe7du2PGjBmorq5WKHHHtKXON95447l+pqSkKJS4YzIzMxEaGmr4gDydTocDBw4YtltDL4FX12kNvXxWRkYGVCoVFi5caFhn6n5yAOoiP/30ExYvXoy0tDScP38eYWFhiI6ORk1NjdLRTGro0KGorKw0LMePH1c6Uqc1NjYiLCwMmzZtanX7unXrsHHjRmzevBmnT5+Gi4sLoqOj0dTU1MVJO+dVdQJATEyMUX937tzZhQk7Lz8/H6mpqTh16hQOHz6MJ0+eYMqUKWhsbDTss2jRIuzbtw/Z2dnIz8/H7du3MX36dAVTt19b6gSA2bNnG/Vz3bp1CiXumL59+yIjIwOFhYU4d+4cJk+ejLi4OFy+fBmAdfQSeHWdgOX38n+dPXsWW7ZsQWhoqNF6k/dTqEuMGTNGUlNTDc+bm5vF19dX0tPTFUxlWmlpaRIWFqZ0DLMCIDk5OYbner1efHx8ZP369YZ19+/fF41GIzt37lQgoWk8W6eISFJSksTFxSmSx1xqamoEgOTn54vI0945OjpKdna2YZ8rV64IACkoKFAqZqc9W6eIyMSJE2XBggXKhTITDw8P+f777622ly1a6hSxrl7W19fLoEGD5PDhw0Z1maOfPAPUBR4/fozCwkJERUUZ1tnZ2SEqKgoFBQUKJjO9a9euwdfXFwEBAUhMTERFRYXSkcyqvLwcVVVVRr11c3NDRESE1fUWAPLy8uDl5YWgoCDMmTMH9+7dUzpSp9TW1gIAevbsCQAoLCzEkydPjPo5ZMgQ9O/f36L7+WydLXbs2AFPT08MGzYMy5cvx4MHD5SIZxLNzc3IyspCY2MjdDqd1fby2TpbWEsvU1NT8eabbxr1DTDP3ya/DLUL3L17F83NzfD29jZa7+3tjatXryqUyvQiIiKwfft2BAUFobKyEmvWrMF//vMfXLp0Ca6urkrHM4uqqioAaLW3LdusRUxMDKZPnw5/f39cv34dn332GWJjY1FQUAB7e3ul47WbXq/HwoULMW7cOAwbNgzA036q1Wq4u7sb7WvJ/WytTgB499134efnB19fXxQXF+PTTz9FaWkpfv31VwXTtl9JSQl0Oh2amprQvXt35OTkICQkBEVFRVbVyxfVCVhPL7OysnD+/HmcPXv2uW3m+NvkAEQmExsba3gcGhqKiIgI+Pn54eeff8aHH36oYDIyhZkzZxoeDx8+HKGhoRg4cCDy8vIQGRmpYLKOSU1NxaVLl6ziPrWXeVGdycnJhsfDhw+HVqtFZGQkrl+/joEDB3Z1zA4LCgpCUVERamtrsWvXLiQlJSE/P1/pWCb3ojpDQkKsopc3b97EggULcPjwYXTr1q1LfiYvgXUBT09P2NvbP3e3enV1NXx8fBRKZX7u7u4YPHgwysrKlI5iNi39s7XeAkBAQAA8PT0tsr/z5s3Db7/9hmPHjqFv376G9T4+Pnj8+DHu379vtL+l9vNFdbYmIiICACyun2q1GoGBgQgPD0d6ejrCwsLwzTffWF0vX1Rnayyxl4WFhaipqcHIkSPh4OAABwcH5OfnY+PGjXBwcIC3t7fJ+8kBqAuo1WqEh4cjNzfXsE6v1yM3N9foGq61aWhowPXr16HVapWOYjb+/v7w8fEx6m1dXR1Onz5t1b0FgFu3buHevXsW1V8Rwbx585CTk4OjR4/C39/faHt4eDgcHR2N+llaWoqKigqL6uer6mxNUVERAFhUP1uj1+vx6NEjq+nli7TU2RpL7GVkZCRKSkpQVFRkWEaNGoXExETDY5P3s/P3bFNbZGVliUajke3bt8uff/4pycnJ4u7uLlVVVUpHM5lPPvlE8vLypLy8XE6cOCFRUVHi6ekpNTU1SkfrlPr6erlw4YJcuHBBAMiGDRvkwoULcuPGDRERycjIEHd3d9mzZ48UFxdLXFyc+Pv7y8OHDxVO3j4vq7O+vl6WLFkiBQUFUl5eLkeOHJGRI0fKoEGDpKmpSenobTZnzhxxc3OTvLw8qaysNCwPHjww7JOSkiL9+/eXo0ePyrlz50Sn04lOp1Mwdfu9qs6ysjJZu3atnDt3TsrLy2XPnj0SEBAgEyZMUDh5+yxbtkzy8/OlvLxciouLZdmyZaJSqeTQoUMiYh29FHl5ndbSy9Y8++42U/eTA1AX+vbbb6V///6iVqtlzJgxcurUKaUjmVRCQoJotVpRq9XSp08fSUhIkLKyMqVjddqxY8cEwHNLUlKSiDx9K/zKlSvF29tbNBqNREZGSmlpqbKhO+BldT548ECmTJkivXv3FkdHR/Hz85PZs2db3ADfWn0AZNu2bYZ9Hj58KHPnzhUPDw9xdnaW+Ph4qaysVC50B7yqzoqKCpkwYYL07NlTNBqNBAYGytKlS6W2tlbZ4O30wQcfiJ+fn6jVaundu7dERkYahh8R6+ilyMvrtJZetubZAcjU/VSJiHTs3BERERGRZeI9QERERGRzOAARERGRzeEARERERDaHAxARERHZHA5AREREZHM4ABEREZHN4QBERERENocDEBFRG6hUKuzevVvpGERkIhyAiOhfb9asWVCpVM8tMTExSkcjIgvloHQAIqK2iImJwbZt24zWaTQahdIQkaXjGSAisggajQY+Pj5Gi4eHB4Cnl6cyMzMRGxsLJycnBAQEYNeuXUavLykpweTJk+Hk5IRevXohOTkZDQ0NRvts3boVQ4cOhUajgVarxbx584y23717F/Hx8XB2dsagQYOwd+9e8xZNRGbDAYiIrMLKlSsxY8YMXLx4EYmJiZg5cyauXLkCAGhsbER0dDQ8PDxw9uxZZGdn48iRI0YDTmZmJlJTU5GcnIySkhLs3bsXgYGBRj9jzZo1eOedd1BcXIypU6ciMTERf//9d5fWSUQm0umvayUiMrOkpCSxt7cXFxcXo+XLL78Ukafffp6SkmL0moiICJkzZ46IiHz33Xfi4eEhDQ0Nhu379+8XOzs7wzfa+/r6yooVK16YAYB8/vnnhucNDQ0CQA4cOGCyOomo6/AeICKyCJMmTUJmZqbRup49exoe63Q6o206nQ5FRUUAgCtXriAsLAwuLi6G7ePGjYNer0dpaSlUKhVu376NyMjIl2YIDQ01PHZxcUGPHj1QU1PT0ZKISEEcgIjIIri4uDx3ScpUnJyc2rSfo6Oj0XOVSgW9Xm+OSERkZrwHiIiswqlTp557HhwcDAAIDg7GxYsX0djYaNh+4sQJ2NnZISgoCK6urhgwYAByc3O7NDMRKYdngIjIIjx69AhVVVVG6xwcHODp6QkAyM7OxqhRozB+/Hjs2LEDZ86cwQ8//AAASExMRFpaGpKSkrB69WrcuXMH8+fPx3vvvQdvb28AwOrVq5GSkgIvLy/Exsaivr4eJ06cwPz587u2UCLqEhyAiMgiHDx4EFqt1mhdUFAQrl69CuDpO7SysrIwd+5caLVa7Ny5EyEhIQAAZ2dn/P7771iwYAFGjx4NZ2dnzJgxAxs2bDAcKykpCU1NTfjqq6+wZMkSeHp64u233+66AomoS6lERJQOQUTUGSqVCjk5OZg2bZrSUYjIQvAeICIiIrI5HICIiIjI5vAeICKyeLyST0TtxTNAREREZHM4ABEREZHN4QBERERENocDEBEREdkcDkBERERkczgAERERkc3hAEREREQ2hwMQERER2RwOQERERGRz/g8f8neAhX+B1gAAAABJRU5ErkJggg==","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy per epoch\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{},"source":["### VGG16"]},{"cell_type":"code","execution_count":37,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:59:26.748824Z","iopub.status.busy":"2024-05-30T12:59:26.747924Z","iopub.status.idle":"2024-05-30T12:59:27.067721Z","shell.execute_reply":"2024-05-30T12:59:27.066894Z","shell.execute_reply.started":"2024-05-30T12:59:26.748785Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Model: \"functional_106\"\n","
\n"],"text/plain":["\u001b[1mModel: \"functional_106\"\u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ input_layer_7 (InputLayer)      │ (None, 224, 224, 3)    │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block1_conv1 (Conv2D)           │ (None, 224, 224, 64)   │         1,792 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block1_conv2 (Conv2D)           │ (None, 224, 224, 64)   │        36,928 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block1_pool (MaxPooling2D)      │ (None, 112, 112, 64)   │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block2_conv1 (Conv2D)           │ (None, 112, 112, 128)  │        73,856 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block2_conv2 (Conv2D)           │ (None, 112, 112, 128)  │       147,584 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block2_pool (MaxPooling2D)      │ (None, 56, 56, 128)    │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_conv1 (Conv2D)           │ (None, 56, 56, 256)    │       295,168 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_conv2 (Conv2D)           │ (None, 56, 56, 256)    │       590,080 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_conv3 (Conv2D)           │ (None, 56, 56, 256)    │       590,080 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_pool (MaxPooling2D)      │ (None, 28, 28, 256)    │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_conv1 (Conv2D)           │ (None, 28, 28, 512)    │     1,180,160 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_conv2 (Conv2D)           │ (None, 28, 28, 512)    │     2,359,808 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_conv3 (Conv2D)           │ (None, 28, 28, 512)    │     2,359,808 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_pool (MaxPooling2D)      │ (None, 14, 14, 512)    │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_conv1 (Conv2D)           │ (None, 14, 14, 512)    │     2,359,808 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_conv2 (Conv2D)           │ (None, 14, 14, 512)    │     2,359,808 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_conv3 (Conv2D)           │ (None, 14, 14, 512)    │     2,359,808 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_pool (MaxPooling2D)      │ (None, 7, 7, 512)      │             0 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ global_average_pooling2d_10     │ (None, 512)            │             0 │\n","│ (GlobalAveragePooling2D)        │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_29 (Dense)                │ (None, 1024)           │       525,312 │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_30 (Dense)                │ (None, 1)              │         1,025 │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","
\n"],"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ input_layer_7 (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m1,792\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m73,856\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m147,584\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m295,168\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m590,080\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m590,080\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m1,180,160\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ global_average_pooling2d_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) │ │ │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_29 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m525,312\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_30 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m1,025\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Total params: 15,241,025 (58.14 MB)\n","
\n"],"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m15,241,025\u001b[0m (58.14 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Trainable params: 526,337 (2.01 MB)\n","
\n"],"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m526,337\u001b[0m (2.01 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Non-trainable params: 14,714,688 (56.13 MB)\n","
\n"],"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m14,714,688\u001b[0m (56.13 MB)\n"]},"metadata":{},"output_type":"display_data"}],"source":["from tensorflow.keras.applications import VGG16\n","from tensorflow.keras.layers import Dense, Flatten, Dropout\n","from tensorflow.keras.models import Model\n","\n","# Load the VGG16 model and create the feature extractor\n","vgg16_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n","feature_extractor = Model(inputs=vgg16_model.input, outputs=vgg16_model.get_layer('block5_pool').output)\n","\n","# Freeze the convolutional base layers\n","for layer in feature_extractor.layers:\n"," layer.trainable = False\n","\n","# Add custom dense layers on top\n","x = feature_extractor.output\n","x = GlobalAveragePooling2D()(x)\n","x = Dense(1024, activation='relu')(x)\n","output = Dense(1, activation='sigmoid')(x)\n","\n","# Create the final model\n","model = Model(inputs=feature_extractor.input, outputs=output)\n","\n","model_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\n","reduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=0.00000001, verbose=1)\n","\n","model.summary()"]},{"cell_type":"code","execution_count":38,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T12:59:27.069492Z","iopub.status.busy":"2024-05-30T12:59:27.069212Z","iopub.status.idle":"2024-05-30T13:00:43.223970Z","shell.execute_reply":"2024-05-30T13:00:43.222985Z","shell.execute_reply.started":"2024-05-30T12:59:27.069467Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 162ms/step - accuracy: 0.5356 - loss: 0.7002\n","Epoch 1: val_accuracy improved from -inf to 0.69863, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 279ms/step - accuracy: 0.5386 - loss: 0.6978 - val_accuracy: 0.6986 - val_loss: 0.6141 - learning_rate: 0.0010\n","Epoch 2/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 126ms/step - accuracy: 0.7424 - loss: 0.5328\n","Epoch 2: val_accuracy improved from 0.69863 to 0.71918, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 165ms/step - accuracy: 0.7439 - loss: 0.5309 - val_accuracy: 0.7192 - val_loss: 0.5798 - learning_rate: 0.0010\n","Epoch 3/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 128ms/step - accuracy: 0.7879 - loss: 0.4763\n","Epoch 3: val_accuracy improved from 0.71918 to 0.74658, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 168ms/step - accuracy: 0.7890 - loss: 0.4749 - val_accuracy: 0.7466 - val_loss: 0.5543 - learning_rate: 0.0010\n","Epoch 4/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 127ms/step - accuracy: 0.8090 - loss: 0.4499\n","Epoch 4: val_accuracy did not improve from 0.74658\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 157ms/step - accuracy: 0.8089 - loss: 0.4501 - val_accuracy: 0.6370 - val_loss: 0.6366 - learning_rate: 0.0010\n","Epoch 5/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 130ms/step - accuracy: 0.7700 - loss: 0.4636\n","Epoch 5: val_accuracy did not improve from 0.74658\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 157ms/step - accuracy: 0.7715 - loss: 0.4624 - val_accuracy: 0.7123 - val_loss: 0.6103 - learning_rate: 0.0010\n","Epoch 6/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 128ms/step - accuracy: 0.8039 - loss: 0.3964\n","Epoch 6: val_accuracy improved from 0.74658 to 0.76712, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 172ms/step - accuracy: 0.8047 - loss: 0.3959 - val_accuracy: 0.7671 - val_loss: 0.5847 - learning_rate: 0.0010\n","Epoch 7/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 134ms/step - accuracy: 0.8386 - loss: 0.3811\n","Epoch 7: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 160ms/step - accuracy: 0.8396 - loss: 0.3800 - val_accuracy: 0.6712 - val_loss: 0.6042 - learning_rate: 0.0010\n","Epoch 8/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 131ms/step - accuracy: 0.8280 - loss: 0.3894\n","Epoch 8: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n","\n","Epoch 8: val_accuracy improved from 0.76712 to 0.78767, saving model to model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 175ms/step - accuracy: 0.8277 - loss: 0.3895 - val_accuracy: 0.7877 - val_loss: 0.5553 - learning_rate: 0.0010\n","Epoch 9/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 132ms/step - accuracy: 0.8538 - loss: 0.3337\n","Epoch 9: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 163ms/step - accuracy: 0.8543 - loss: 0.3334 - val_accuracy: 0.7877 - val_loss: 0.5401 - learning_rate: 1.0000e-04\n","Epoch 10/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 132ms/step - accuracy: 0.8667 - loss: 0.3148\n","Epoch 10: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 163ms/step - accuracy: 0.8669 - loss: 0.3151 - val_accuracy: 0.7808 - val_loss: 0.5483 - learning_rate: 1.0000e-04\n","Epoch 11/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 131ms/step - accuracy: 0.8670 - loss: 0.3230\n","Epoch 11: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 161ms/step - accuracy: 0.8671 - loss: 0.3228 - val_accuracy: 0.7740 - val_loss: 0.5375 - learning_rate: 1.0000e-04\n","Epoch 12/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 129ms/step - accuracy: 0.8809 - loss: 0.2992\n","Epoch 12: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 159ms/step - accuracy: 0.8806 - loss: 0.3000 - val_accuracy: 0.7808 - val_loss: 0.5470 - learning_rate: 1.0000e-04\n","Epoch 13/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 132ms/step - accuracy: 0.8575 - loss: 0.3215\n","Epoch 13: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 159ms/step - accuracy: 0.8589 - loss: 0.3209 - val_accuracy: 0.7877 - val_loss: 0.5400 - learning_rate: 1.0000e-04\n","Epoch 14/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 132ms/step - accuracy: 0.8953 - loss: 0.3023\n","Epoch 14: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 158ms/step - accuracy: 0.8939 - loss: 0.3032 - val_accuracy: 0.7877 - val_loss: 0.5425 - learning_rate: 1.0000e-04\n","Epoch 15/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 130ms/step - accuracy: 0.8593 - loss: 0.3319\n","Epoch 15: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 156ms/step - accuracy: 0.8604 - loss: 0.3301 - val_accuracy: 0.7740 - val_loss: 0.5546 - learning_rate: 1.0000e-04\n","Epoch 16/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 129ms/step - accuracy: 0.8920 - loss: 0.2985\n","Epoch 16: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n","\n","Epoch 16: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 155ms/step - accuracy: 0.8909 - loss: 0.2996 - val_accuracy: 0.7808 - val_loss: 0.5407 - learning_rate: 1.0000e-04\n","Epoch 17/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 129ms/step - accuracy: 0.8916 - loss: 0.2806\n","Epoch 17: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 155ms/step - accuracy: 0.8909 - loss: 0.2828 - val_accuracy: 0.7877 - val_loss: 0.5425 - learning_rate: 1.0000e-05\n","Epoch 18/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 128ms/step - accuracy: 0.9008 - loss: 0.2772\n","Epoch 18: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 154ms/step - accuracy: 0.8992 - loss: 0.2796 - val_accuracy: 0.7877 - val_loss: 0.5425 - learning_rate: 1.0000e-05\n","Epoch 19/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 129ms/step - accuracy: 0.8851 - loss: 0.2958\n","Epoch 19: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 154ms/step - accuracy: 0.8850 - loss: 0.2965 - val_accuracy: 0.7877 - val_loss: 0.5433 - learning_rate: 1.0000e-05\n","Epoch 20/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 126ms/step - accuracy: 0.8808 - loss: 0.2948\n","Epoch 20: val_accuracy did not improve from 0.78767\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 155ms/step - accuracy: 0.8808 - loss: 0.2952 - val_accuracy: 0.7877 - val_loss: 0.5445 - learning_rate: 1.0000e-05\n"]}],"source":["model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n","history = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=32,callbacks=[reduce_lr,model_checkpoint])"]},{"cell_type":"code","execution_count":39,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:00:43.226347Z","iopub.status.busy":"2024-05-30T13:00:43.226051Z","iopub.status.idle":"2024-05-30T13:00:43.484611Z","shell.execute_reply":"2024-05-30T13:00:43.483645Z","shell.execute_reply.started":"2024-05-30T13:00:43.226321Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Loss per epoch\")\n","plt.show()"]},{"cell_type":"code","execution_count":40,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:00:43.486654Z","iopub.status.busy":"2024-05-30T13:00:43.486024Z","iopub.status.idle":"2024-05-30T13:00:43.699062Z","shell.execute_reply":"2024-05-30T13:00:43.698154Z","shell.execute_reply.started":"2024-05-30T13:00:43.486618Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy per epoch\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{},"source":["### Xception"]},{"cell_type":"code","execution_count":41,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:00:43.701590Z","iopub.status.busy":"2024-05-30T13:00:43.701290Z","iopub.status.idle":"2024-05-30T13:00:45.837048Z","shell.execute_reply":"2024-05-30T13:00:45.836081Z","shell.execute_reply.started":"2024-05-30T13:00:43.701563Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/xception/xception_weights_tf_dim_ordering_tf_kernels_notop.h5\n","\u001b[1m83683744/83683744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 0us/step\n"]},{"data":{"text/html":["
Model: \"functional_110\"\n","
\n"],"text/plain":["\u001b[1mModel: \"functional_110\"\u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_8       │ (None, 224, 224,  │          0 │ -                 │\n","│ (InputLayer)        │ 3)                │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv1        │ (None, 111, 111,  │        864 │ input_layer_8[0]… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv1_bn     │ (None, 111, 111,  │        128 │ block1_conv1[0][… │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv1_act    │ (None, 111, 111,  │          0 │ block1_conv1_bn[… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv2        │ (None, 109, 109,  │     18,432 │ block1_conv1_act… │\n","│ (Conv2D)            │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv2_bn     │ (None, 109, 109,  │        256 │ block1_conv2[0][… │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv2_act    │ (None, 109, 109,  │          0 │ block1_conv2_bn[… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv1     │ (None, 109, 109,  │      8,768 │ block1_conv2_act… │\n","│ (SeparableConv2D)   │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv1_bn  │ (None, 109, 109,  │        512 │ block2_sepconv1[… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv2_act │ (None, 109, 109,  │          0 │ block2_sepconv1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv2     │ (None, 109, 109,  │     17,536 │ block2_sepconv2_… │\n","│ (SeparableConv2D)   │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv2_bn  │ (None, 109, 109,  │        512 │ block2_sepconv2[… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_229 (Conv2D) │ (None, 55, 55,    │      8,192 │ block1_conv2_act… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_pool         │ (None, 55, 55,    │          0 │ block2_sepconv2_… │\n","│ (MaxPooling2D)      │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 55, 55,    │        512 │ conv2d_229[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add (Add)           │ (None, 55, 55,    │          0 │ block2_pool[0][0… │\n","│                     │ 128)              │            │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv1_act │ (None, 55, 55,    │          0 │ add[0][0]         │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv1     │ (None, 55, 55,    │     33,920 │ block3_sepconv1_… │\n","│ (SeparableConv2D)   │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv1_bn  │ (None, 55, 55,    │      1,024 │ block3_sepconv1[… │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv2_act │ (None, 55, 55,    │          0 │ block3_sepconv1_… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv2     │ (None, 55, 55,    │     67,840 │ block3_sepconv2_… │\n","│ (SeparableConv2D)   │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv2_bn  │ (None, 55, 55,    │      1,024 │ block3_sepconv2[… │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_230 (Conv2D) │ (None, 28, 28,    │     32,768 │ add[0][0]         │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_pool         │ (None, 28, 28,    │          0 │ block3_sepconv2_… │\n","│ (MaxPooling2D)      │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 28, 28,    │      1,024 │ conv2d_230[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_1 (Add)         │ (None, 28, 28,    │          0 │ block3_pool[0][0… │\n","│                     │ 256)              │            │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv1_act │ (None, 28, 28,    │          0 │ add_1[0][0]       │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv1     │ (None, 28, 28,    │    188,672 │ block4_sepconv1_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv1_bn  │ (None, 28, 28,    │      2,912 │ block4_sepconv1[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv2_act │ (None, 28, 28,    │          0 │ block4_sepconv1_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv2     │ (None, 28, 28,    │    536,536 │ block4_sepconv2_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv2_bn  │ (None, 28, 28,    │      2,912 │ block4_sepconv2[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_231 (Conv2D) │ (None, 14, 14,    │    186,368 │ add_1[0][0]       │\n","│                     │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_pool         │ (None, 14, 14,    │          0 │ block4_sepconv2_… │\n","│ (MaxPooling2D)      │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 14, 14,    │      2,912 │ conv2d_231[0][0]  │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_2 (Add)         │ (None, 14, 14,    │          0 │ block4_pool[0][0… │\n","│                     │ 728)              │            │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv1_act │ (None, 14, 14,    │          0 │ add_2[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv1     │ (None, 14, 14,    │    536,536 │ block5_sepconv1_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv1_bn  │ (None, 14, 14,    │      2,912 │ block5_sepconv1[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv2_act │ (None, 14, 14,    │          0 │ block5_sepconv1_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv2     │ (None, 14, 14,    │    536,536 │ block5_sepconv2_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv2_bn  │ (None, 14, 14,    │      2,912 │ block5_sepconv2[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv3_act │ (None, 14, 14,    │          0 │ block5_sepconv2_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv3     │ (None, 14, 14,    │    536,536 │ block5_sepconv3_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv3_bn  │ (None, 14, 14,    │      2,912 │ block5_sepconv3[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_3 (Add)         │ (None, 14, 14,    │          0 │ block5_sepconv3_… │\n","│                     │ 728)              │            │ add_2[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv1_act │ (None, 14, 14,    │          0 │ add_3[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv1     │ (None, 14, 14,    │    536,536 │ block6_sepconv1_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv1_bn  │ (None, 14, 14,    │      2,912 │ block6_sepconv1[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv2_act │ (None, 14, 14,    │          0 │ block6_sepconv1_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv2     │ (None, 14, 14,    │    536,536 │ block6_sepconv2_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv2_bn  │ (None, 14, 14,    │      2,912 │ block6_sepconv2[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv3_act │ (None, 14, 14,    │          0 │ block6_sepconv2_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv3     │ (None, 14, 14,    │    536,536 │ block6_sepconv3_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv3_bn  │ (None, 14, 14,    │      2,912 │ block6_sepconv3[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_4 (Add)         │ (None, 14, 14,    │          0 │ block6_sepconv3_… │\n","│                     │ 728)              │            │ add_3[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv1_act │ (None, 14, 14,    │          0 │ add_4[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv1     │ (None, 14, 14,    │    536,536 │ block7_sepconv1_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv1_bn  │ (None, 14, 14,    │      2,912 │ block7_sepconv1[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv2_act │ (None, 14, 14,    │          0 │ block7_sepconv1_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv2     │ (None, 14, 14,    │    536,536 │ block7_sepconv2_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv2_bn  │ (None, 14, 14,    │      2,912 │ block7_sepconv2[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv3_act │ (None, 14, 14,    │          0 │ block7_sepconv2_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv3     │ (None, 14, 14,    │    536,536 │ block7_sepconv3_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv3_bn  │ (None, 14, 14,    │      2,912 │ block7_sepconv3[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_5 (Add)         │ (None, 14, 14,    │          0 │ block7_sepconv3_… │\n","│                     │ 728)              │            │ add_4[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv1_act │ (None, 14, 14,    │          0 │ add_5[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv1     │ (None, 14, 14,    │    536,536 │ block8_sepconv1_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv1_bn  │ (None, 14, 14,    │      2,912 │ block8_sepconv1[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv2_act │ (None, 14, 14,    │          0 │ block8_sepconv1_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv2     │ (None, 14, 14,    │    536,536 │ block8_sepconv2_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv2_bn  │ (None, 14, 14,    │      2,912 │ block8_sepconv2[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv3_act │ (None, 14, 14,    │          0 │ block8_sepconv2_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv3     │ (None, 14, 14,    │    536,536 │ block8_sepconv3_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv3_bn  │ (None, 14, 14,    │      2,912 │ block8_sepconv3[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_6 (Add)         │ (None, 14, 14,    │          0 │ block8_sepconv3_… │\n","│                     │ 728)              │            │ add_5[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv1_act │ (None, 14, 14,    │          0 │ add_6[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv1     │ (None, 14, 14,    │    536,536 │ block9_sepconv1_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv1_bn  │ (None, 14, 14,    │      2,912 │ block9_sepconv1[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv2_act │ (None, 14, 14,    │          0 │ block9_sepconv1_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv2     │ (None, 14, 14,    │    536,536 │ block9_sepconv2_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv2_bn  │ (None, 14, 14,    │      2,912 │ block9_sepconv2[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv3_act │ (None, 14, 14,    │          0 │ block9_sepconv2_… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv3     │ (None, 14, 14,    │    536,536 │ block9_sepconv3_… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv3_bn  │ (None, 14, 14,    │      2,912 │ block9_sepconv3[… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_7 (Add)         │ (None, 14, 14,    │          0 │ block9_sepconv3_… │\n","│                     │ 728)              │            │ add_6[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv1_a… │ (None, 14, 14,    │          0 │ add_7[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv1    │ (None, 14, 14,    │    536,536 │ block10_sepconv1… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv1_bn │ (None, 14, 14,    │      2,912 │ block10_sepconv1… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv2_a… │ (None, 14, 14,    │          0 │ block10_sepconv1… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv2    │ (None, 14, 14,    │    536,536 │ block10_sepconv2… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv2_bn │ (None, 14, 14,    │      2,912 │ block10_sepconv2… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv3_a… │ (None, 14, 14,    │          0 │ block10_sepconv2… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv3    │ (None, 14, 14,    │    536,536 │ block10_sepconv3… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv3_bn │ (None, 14, 14,    │      2,912 │ block10_sepconv3… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_8 (Add)         │ (None, 14, 14,    │          0 │ block10_sepconv3… │\n","│                     │ 728)              │            │ add_7[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv1_a… │ (None, 14, 14,    │          0 │ add_8[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv1    │ (None, 14, 14,    │    536,536 │ block11_sepconv1… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv1_bn │ (None, 14, 14,    │      2,912 │ block11_sepconv1… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv2_a… │ (None, 14, 14,    │          0 │ block11_sepconv1… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv2    │ (None, 14, 14,    │    536,536 │ block11_sepconv2… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv2_bn │ (None, 14, 14,    │      2,912 │ block11_sepconv2… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv3_a… │ (None, 14, 14,    │          0 │ block11_sepconv2… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv3    │ (None, 14, 14,    │    536,536 │ block11_sepconv3… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv3_bn │ (None, 14, 14,    │      2,912 │ block11_sepconv3… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_9 (Add)         │ (None, 14, 14,    │          0 │ block11_sepconv3… │\n","│                     │ 728)              │            │ add_8[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv1_a… │ (None, 14, 14,    │          0 │ add_9[0][0]       │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv1    │ (None, 14, 14,    │    536,536 │ block12_sepconv1… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv1_bn │ (None, 14, 14,    │      2,912 │ block12_sepconv1… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv2_a… │ (None, 14, 14,    │          0 │ block12_sepconv1… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv2    │ (None, 14, 14,    │    536,536 │ block12_sepconv2… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv2_bn │ (None, 14, 14,    │      2,912 │ block12_sepconv2… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv3_a… │ (None, 14, 14,    │          0 │ block12_sepconv2… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv3    │ (None, 14, 14,    │    536,536 │ block12_sepconv3… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv3_bn │ (None, 14, 14,    │      2,912 │ block12_sepconv3… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_10 (Add)        │ (None, 14, 14,    │          0 │ block12_sepconv3… │\n","│                     │ 728)              │            │ add_9[0][0]       │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv1_a… │ (None, 14, 14,    │          0 │ add_10[0][0]      │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv1    │ (None, 14, 14,    │    536,536 │ block13_sepconv1… │\n","│ (SeparableConv2D)   │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv1_bn │ (None, 14, 14,    │      2,912 │ block13_sepconv1… │\n","│ (BatchNormalizatio… │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv2_a… │ (None, 14, 14,    │          0 │ block13_sepconv1… │\n","│ (Activation)        │ 728)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv2    │ (None, 14, 14,    │    752,024 │ block13_sepconv2… │\n","│ (SeparableConv2D)   │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv2_bn │ (None, 14, 14,    │      4,096 │ block13_sepconv2… │\n","│ (BatchNormalizatio… │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_232 (Conv2D) │ (None, 7, 7,      │    745,472 │ add_10[0][0]      │\n","│                     │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_pool        │ (None, 7, 7,      │          0 │ block13_sepconv2… │\n","│ (MaxPooling2D)      │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 7, 7,      │      4,096 │ conv2d_232[0][0]  │\n","│ (BatchNormalizatio… │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_11 (Add)        │ (None, 7, 7,      │          0 │ block13_pool[0][… │\n","│                     │ 1024)             │            │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv1    │ (None, 7, 7,      │  1,582,080 │ add_11[0][0]      │\n","│ (SeparableConv2D)   │ 1536)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv1_bn │ (None, 7, 7,      │      6,144 │ block14_sepconv1… │\n","│ (BatchNormalizatio… │ 1536)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv1_a… │ (None, 7, 7,      │          0 │ block14_sepconv1… │\n","│ (Activation)        │ 1536)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv2    │ (None, 7, 7,      │  3,159,552 │ block14_sepconv1… │\n","│ (SeparableConv2D)   │ 2048)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv2_bn │ (None, 7, 7,      │      8,192 │ block14_sepconv2… │\n","│ (BatchNormalizatio… │ 2048)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv2_a… │ (None, 7, 7,      │          0 │ block14_sepconv2… │\n","│ (Activation)        │ 2048)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (None, 2048)      │          0 │ block14_sepconv2… │\n","│ (GlobalAveragePool… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_31 (Dense)    │ (None, 1024)      │  2,098,176 │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_32 (Dense)    │ (None, 1)         │      1,025 │ dense_31[0][0]    │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","
\n"],"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n","│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ input_layer_8[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m128\u001b[0m │ block1_conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block1_conv1_bn[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ block1_conv1_act… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m256\u001b[0m │ block1_conv2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block1_conv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block1_conv2_bn[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m8,768\u001b[0m │ block1_conv2_act… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ block2_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block2_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m17,536\u001b[0m │ block2_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ block2_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_229 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m8,192\u001b[0m │ block1_conv2_act… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block2_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block2_sepconv2_… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2d_229[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block2_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m33,920\u001b[0m │ block3_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ block3_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block3_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m67,840\u001b[0m │ block3_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m55\u001b[0m, \u001b[38;5;34m55\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ block3_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_230 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block3_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block3_sepconv2_… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ conv2d_230[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_1 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block3_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m188,672\u001b[0m │ block4_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block4_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block4_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block4_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block4_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_231 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m186,368\u001b[0m │ add_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block4_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block4_sepconv2_… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ conv2d_231[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_2 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block4_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block5_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block5_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block5_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block5_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block5_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv3_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block5_sepconv2_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block5_sepconv3_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block5_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block5_sepconv3[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_3 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block5_sepconv3_… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block6_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block6_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block6_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block6_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block6_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv3_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block6_sepconv2_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block6_sepconv3_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block6_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block6_sepconv3[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_4 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block6_sepconv3_… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block7_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block7_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block7_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block7_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block7_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv3_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block7_sepconv2_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block7_sepconv3_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block7_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block7_sepconv3[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_5 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block7_sepconv3_… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block8_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block8_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block8_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block8_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv3_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_sepconv2_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block8_sepconv3_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block8_sepconv3[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_6 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_sepconv3_… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv1_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block9_sepconv1_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block9_sepconv1[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv2_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block9_sepconv1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block9_sepconv2_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block9_sepconv2[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv3_act │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block9_sepconv2_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block9_sepconv3_… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block9_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block9_sepconv3[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_7 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block9_sepconv3_… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv1_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block10_sepconv1… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block10_sepconv1… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv2_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block10_sepconv1… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block10_sepconv2… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block10_sepconv2… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv3_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block10_sepconv2… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block10_sepconv3… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block10_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block10_sepconv3… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_8 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block10_sepconv3… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv1_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block11_sepconv1… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block11_sepconv1… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv2_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block11_sepconv1… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block11_sepconv2… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block11_sepconv2… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv3_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block11_sepconv2… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block11_sepconv3… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block11_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block11_sepconv3… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_9 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block11_sepconv3… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv1_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block12_sepconv1… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block12_sepconv1… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv2_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block12_sepconv1… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block12_sepconv2… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block12_sepconv2… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv3_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block12_sepconv2… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block12_sepconv3… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block12_sepconv3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block12_sepconv3… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_10 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block12_sepconv3… │\n","│ │ \u001b[38;5;34m728\u001b[0m) │ │ add_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv1_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ add_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m536,536\u001b[0m │ block13_sepconv1… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ block13_sepconv1… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv2_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block13_sepconv1… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m728\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m752,024\u001b[0m │ block13_sepconv2… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ block13_sepconv2… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_232 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m745,472\u001b[0m │ add_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block13_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block13_sepconv2… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ conv2d_232[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ add_11 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block13_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m1024\u001b[0m) │ │ batch_normalizat… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m1,582,080\u001b[0m │ add_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,144\u001b[0m │ block14_sepconv1… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv1_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block14_sepconv1… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m3,159,552\u001b[0m │ block14_sepconv1… │\n","│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m2048\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m8,192\u001b[0m │ block14_sepconv2… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m2048\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block14_sepconv2_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block14_sepconv2… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2048\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ block14_sepconv2… │\n","│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_31 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m2,098,176\u001b[0m │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_32 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m1,025\u001b[0m │ dense_31[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Total params: 22,960,681 (87.59 MB)\n","
\n"],"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m22,960,681\u001b[0m (87.59 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Trainable params: 2,099,201 (8.01 MB)\n","
\n"],"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,099,201\u001b[0m (8.01 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Non-trainable params: 20,861,480 (79.58 MB)\n","
\n"],"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m20,861,480\u001b[0m (79.58 MB)\n"]},"metadata":{},"output_type":"display_data"}],"source":["from tensorflow.keras.applications import Xception\n","from tensorflow.keras.layers import Dense, Flatten, Dropout\n","from tensorflow.keras.models import Model\n","\n","# Load the Xception model and create the feature extractor\n","xception_model = Xception(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n","feature_extractor = Model(inputs=xception_model.input, outputs=xception_model.get_layer('block14_sepconv2_act').output)\n","\n","# Freeze the convolutional base layers\n","for layer in feature_extractor.layers:\n"," layer.trainable = False\n","\n","# Add custom dense layers on top\n","x = feature_extractor.output\n","x = GlobalAveragePooling2D()(x)\n","x = Dense(1024, activation='relu')(x)\n","\n","output = Dense(1, activation='sigmoid')(x)\n","\n","# Create the final model\n","model = Model(inputs=feature_extractor.input, outputs=output)\n","\n","model_checkpoint = ModelCheckpoint('att_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\n","reduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=0.00000001, verbose=1)\n","\n","# Print the model summary\n","model.summary()"]},{"cell_type":"code","execution_count":42,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:00:45.838524Z","iopub.status.busy":"2024-05-30T13:00:45.838239Z","iopub.status.idle":"2024-05-30T13:02:33.100053Z","shell.execute_reply":"2024-05-30T13:02:33.099161Z","shell.execute_reply.started":"2024-05-30T13:00:45.838498Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/20\n","\u001b[1m 1/22\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m7:03\u001b[0m 20s/step - accuracy: 0.5625 - loss: 0.6997"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074066.850290 1771 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 405ms/step - accuracy: 0.5749 - loss: 0.8486"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074075.440797 1771 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","W0000 00:00:1717074078.665756 1770 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\n","Epoch 1: val_accuracy improved from -inf to 0.71233, saving model to att_model.keras\n"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074088.765485 1770 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 1s/step - accuracy: 0.5767 - loss: 0.8436 - val_accuracy: 0.7123 - val_loss: 0.5699 - learning_rate: 0.0010\n","Epoch 2/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 124ms/step - accuracy: 0.8389 - loss: 0.4043\n","Epoch 2: val_accuracy improved from 0.71233 to 0.74658, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 178ms/step - accuracy: 0.8377 - loss: 0.4047 - val_accuracy: 0.7466 - val_loss: 0.5433 - learning_rate: 0.0010\n","Epoch 3/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 125ms/step - accuracy: 0.8963 - loss: 0.2802\n","Epoch 3: val_accuracy improved from 0.74658 to 0.75342, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 179ms/step - accuracy: 0.8944 - loss: 0.2818 - val_accuracy: 0.7534 - val_loss: 0.5466 - learning_rate: 0.0010\n","Epoch 4/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 125ms/step - accuracy: 0.9116 - loss: 0.2309\n","Epoch 4: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 148ms/step - accuracy: 0.9116 - loss: 0.2308 - val_accuracy: 0.7123 - val_loss: 0.5952 - learning_rate: 0.0010\n","Epoch 5/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 124ms/step - accuracy: 0.9654 - loss: 0.1419\n","Epoch 5: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 147ms/step - accuracy: 0.9649 - loss: 0.1429 - val_accuracy: 0.7534 - val_loss: 0.5665 - learning_rate: 0.0010\n","Epoch 6/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 123ms/step - accuracy: 0.9811 - loss: 0.0956\n","Epoch 6: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 147ms/step - accuracy: 0.9811 - loss: 0.0956 - val_accuracy: 0.7123 - val_loss: 0.6828 - learning_rate: 0.0010\n","Epoch 7/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 122ms/step - accuracy: 0.9946 - loss: 0.0591\n","Epoch 7: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n","\n","Epoch 7: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 145ms/step - accuracy: 0.9945 - loss: 0.0591 - val_accuracy: 0.6986 - val_loss: 0.7410 - learning_rate: 0.0010\n","Epoch 8/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 123ms/step - accuracy: 0.9986 - loss: 0.0383\n","Epoch 8: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 145ms/step - accuracy: 0.9986 - loss: 0.0381 - val_accuracy: 0.7466 - val_loss: 0.7087 - learning_rate: 1.0000e-04\n","Epoch 9/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 121ms/step - accuracy: 1.0000 - loss: 0.0321\n","Epoch 9: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 144ms/step - accuracy: 1.0000 - loss: 0.0322 - val_accuracy: 0.7329 - val_loss: 0.7255 - learning_rate: 1.0000e-04\n","Epoch 10/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 121ms/step - accuracy: 1.0000 - loss: 0.0290\n","Epoch 10: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 144ms/step - accuracy: 1.0000 - loss: 0.0292 - val_accuracy: 0.7466 - val_loss: 0.7218 - learning_rate: 1.0000e-04\n","Epoch 11/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - accuracy: 1.0000 - loss: 0.0320\n","Epoch 11: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 143ms/step - accuracy: 1.0000 - loss: 0.0318 - val_accuracy: 0.7397 - val_loss: 0.7267 - learning_rate: 1.0000e-04\n","Epoch 12/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - accuracy: 1.0000 - loss: 0.0318\n","Epoch 12: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n","\n","Epoch 12: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 142ms/step - accuracy: 1.0000 - loss: 0.0316 - val_accuracy: 0.7397 - val_loss: 0.7307 - learning_rate: 1.0000e-04\n","Epoch 13/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - accuracy: 1.0000 - loss: 0.0283\n","Epoch 13: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 142ms/step - accuracy: 1.0000 - loss: 0.0283 - val_accuracy: 0.7397 - val_loss: 0.7315 - learning_rate: 1.0000e-05\n","Epoch 14/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 119ms/step - accuracy: 1.0000 - loss: 0.0296\n","Epoch 14: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 142ms/step - accuracy: 1.0000 - loss: 0.0294 - val_accuracy: 0.7397 - val_loss: 0.7313 - learning_rate: 1.0000e-05\n","Epoch 15/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - accuracy: 1.0000 - loss: 0.0285\n","Epoch 15: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 142ms/step - accuracy: 1.0000 - loss: 0.0284 - val_accuracy: 0.7397 - val_loss: 0.7332 - learning_rate: 1.0000e-05\n","Epoch 16/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 119ms/step - accuracy: 1.0000 - loss: 0.0286\n","Epoch 16: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 141ms/step - accuracy: 1.0000 - loss: 0.0285 - val_accuracy: 0.7397 - val_loss: 0.7324 - learning_rate: 1.0000e-05\n","Epoch 17/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 119ms/step - accuracy: 1.0000 - loss: 0.0273\n","Epoch 17: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n","\n","Epoch 17: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 141ms/step - accuracy: 1.0000 - loss: 0.0273 - val_accuracy: 0.7397 - val_loss: 0.7331 - learning_rate: 1.0000e-05\n","Epoch 18/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 119ms/step - accuracy: 1.0000 - loss: 0.0286\n","Epoch 18: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 141ms/step - accuracy: 1.0000 - loss: 0.0285 - val_accuracy: 0.7397 - val_loss: 0.7332 - learning_rate: 1.0000e-06\n","Epoch 19/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 119ms/step - accuracy: 1.0000 - loss: 0.0263\n","Epoch 19: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 141ms/step - accuracy: 1.0000 - loss: 0.0264 - val_accuracy: 0.7397 - val_loss: 0.7333 - learning_rate: 1.0000e-06\n","Epoch 20/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - accuracy: 1.0000 - loss: 0.0302\n","Epoch 20: val_accuracy did not improve from 0.75342\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 143ms/step - accuracy: 1.0000 - loss: 0.0300 - val_accuracy: 0.7397 - val_loss: 0.7334 - learning_rate: 1.0000e-06\n"]}],"source":["model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n","history = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=32,callbacks=[reduce_lr,model_checkpoint])"]},{"cell_type":"code","execution_count":43,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:02:33.101924Z","iopub.status.busy":"2024-05-30T13:02:33.101599Z","iopub.status.idle":"2024-05-30T13:02:33.381662Z","shell.execute_reply":"2024-05-30T13:02:33.380740Z","shell.execute_reply.started":"2024-05-30T13:02:33.101899Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Loss per epoch\")\n","plt.show()"]},{"cell_type":"code","execution_count":44,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:02:33.383348Z","iopub.status.busy":"2024-05-30T13:02:33.382997Z","iopub.status.idle":"2024-05-30T13:02:33.609239Z","shell.execute_reply":"2024-05-30T13:02:33.608299Z","shell.execute_reply.started":"2024-05-30T13:02:33.383315Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy per epoch\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{},"source":["### DenseNet121"]},{"cell_type":"code","execution_count":45,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:02:33.611421Z","iopub.status.busy":"2024-05-30T13:02:33.610605Z","iopub.status.idle":"2024-05-30T13:02:37.540090Z","shell.execute_reply":"2024-05-30T13:02:37.539158Z","shell.execute_reply.started":"2024-05-30T13:02:33.611383Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/densenet/densenet121_weights_tf_dim_ordering_tf_kernels_notop.h5\n","\u001b[1m29084464/29084464\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n"]},{"data":{"text/html":["
Model: \"functional_114\"\n","
\n"],"text/plain":["\u001b[1mModel: \"functional_114\"\u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_9       │ (None, 224, 224,  │          0 │ -                 │\n","│ (InputLayer)        │ 3)                │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ zero_padding2d      │ (None, 230, 230,  │          0 │ input_layer_9[0]… │\n","│ (ZeroPadding2D)     │ 3)                │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv1_conv (Conv2D) │ (None, 112, 112,  │      9,408 │ zero_padding2d[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv1_bn            │ (None, 112, 112,  │        256 │ conv1_conv[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv1_relu          │ (None, 112, 112,  │          0 │ conv1_bn[0][0]    │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ zero_padding2d_1    │ (None, 114, 114,  │          0 │ conv1_relu[0][0]  │\n","│ (ZeroPadding2D)     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool1               │ (None, 56, 56,    │          0 │ zero_padding2d_1… │\n","│ (MaxPooling2D)      │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_0_bn   │ (None, 56, 56,    │        256 │ pool1[0][0]       │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_0_relu │ (None, 56, 56,    │          0 │ conv2_block1_0_b… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_1_conv │ (None, 56, 56,    │      8,192 │ conv2_block1_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_1_bn   │ (None, 56, 56,    │        512 │ conv2_block1_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_1_relu │ (None, 56, 56,    │          0 │ conv2_block1_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_2_conv │ (None, 56, 56,    │     36,864 │ conv2_block1_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_concat │ (None, 56, 56,    │          0 │ pool1[0][0],      │\n","│ (Concatenate)       │ 96)               │            │ conv2_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_0_bn   │ (None, 56, 56,    │        384 │ conv2_block1_con… │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_0_relu │ (None, 56, 56,    │          0 │ conv2_block2_0_b… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_1_conv │ (None, 56, 56,    │     12,288 │ conv2_block2_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_1_bn   │ (None, 56, 56,    │        512 │ conv2_block2_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_1_relu │ (None, 56, 56,    │          0 │ conv2_block2_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_2_conv │ (None, 56, 56,    │     36,864 │ conv2_block2_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_concat │ (None, 56, 56,    │          0 │ conv2_block1_con… │\n","│ (Concatenate)       │ 128)              │            │ conv2_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_0_bn   │ (None, 56, 56,    │        512 │ conv2_block2_con… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_0_relu │ (None, 56, 56,    │          0 │ conv2_block3_0_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_1_conv │ (None, 56, 56,    │     16,384 │ conv2_block3_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_1_bn   │ (None, 56, 56,    │        512 │ conv2_block3_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_1_relu │ (None, 56, 56,    │          0 │ conv2_block3_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_2_conv │ (None, 56, 56,    │     36,864 │ conv2_block3_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_concat │ (None, 56, 56,    │          0 │ conv2_block2_con… │\n","│ (Concatenate)       │ 160)              │            │ conv2_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_0_bn   │ (None, 56, 56,    │        640 │ conv2_block3_con… │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_0_relu │ (None, 56, 56,    │          0 │ conv2_block4_0_b… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_1_conv │ (None, 56, 56,    │     20,480 │ conv2_block4_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_1_bn   │ (None, 56, 56,    │        512 │ conv2_block4_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_1_relu │ (None, 56, 56,    │          0 │ conv2_block4_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_2_conv │ (None, 56, 56,    │     36,864 │ conv2_block4_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_concat │ (None, 56, 56,    │          0 │ conv2_block3_con… │\n","│ (Concatenate)       │ 192)              │            │ conv2_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_0_bn   │ (None, 56, 56,    │        768 │ conv2_block4_con… │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_0_relu │ (None, 56, 56,    │          0 │ conv2_block5_0_b… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_1_conv │ (None, 56, 56,    │     24,576 │ conv2_block5_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_1_bn   │ (None, 56, 56,    │        512 │ conv2_block5_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_1_relu │ (None, 56, 56,    │          0 │ conv2_block5_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_2_conv │ (None, 56, 56,    │     36,864 │ conv2_block5_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_concat │ (None, 56, 56,    │          0 │ conv2_block4_con… │\n","│ (Concatenate)       │ 224)              │            │ conv2_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_0_bn   │ (None, 56, 56,    │        896 │ conv2_block5_con… │\n","│ (BatchNormalizatio… │ 224)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_0_relu │ (None, 56, 56,    │          0 │ conv2_block6_0_b… │\n","│ (Activation)        │ 224)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_1_conv │ (None, 56, 56,    │     28,672 │ conv2_block6_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_1_bn   │ (None, 56, 56,    │        512 │ conv2_block6_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_1_relu │ (None, 56, 56,    │          0 │ conv2_block6_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_2_conv │ (None, 56, 56,    │     36,864 │ conv2_block6_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_concat │ (None, 56, 56,    │          0 │ conv2_block5_con… │\n","│ (Concatenate)       │ 256)              │            │ conv2_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_bn            │ (None, 56, 56,    │      1,024 │ conv2_block6_con… │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_relu          │ (None, 56, 56,    │          0 │ pool2_bn[0][0]    │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_conv (Conv2D) │ (None, 56, 56,    │     32,768 │ pool2_relu[0][0]  │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_pool          │ (None, 28, 28,    │          0 │ pool2_conv[0][0]  │\n","│ (AveragePooling2D)  │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_0_bn   │ (None, 28, 28,    │        512 │ pool2_pool[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_0_relu │ (None, 28, 28,    │          0 │ conv3_block1_0_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_1_conv │ (None, 28, 28,    │     16,384 │ conv3_block1_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_1_bn   │ (None, 28, 28,    │        512 │ conv3_block1_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_1_relu │ (None, 28, 28,    │          0 │ conv3_block1_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block1_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_concat │ (None, 28, 28,    │          0 │ pool2_pool[0][0], │\n","│ (Concatenate)       │ 160)              │            │ conv3_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_0_bn   │ (None, 28, 28,    │        640 │ conv3_block1_con… │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_0_relu │ (None, 28, 28,    │          0 │ conv3_block2_0_b… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_1_conv │ (None, 28, 28,    │     20,480 │ conv3_block2_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_1_bn   │ (None, 28, 28,    │        512 │ conv3_block2_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_1_relu │ (None, 28, 28,    │          0 │ conv3_block2_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block2_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_concat │ (None, 28, 28,    │          0 │ conv3_block1_con… │\n","│ (Concatenate)       │ 192)              │            │ conv3_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_0_bn   │ (None, 28, 28,    │        768 │ conv3_block2_con… │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_0_relu │ (None, 28, 28,    │          0 │ conv3_block3_0_b… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_1_conv │ (None, 28, 28,    │     24,576 │ conv3_block3_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_1_bn   │ (None, 28, 28,    │        512 │ conv3_block3_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_1_relu │ (None, 28, 28,    │          0 │ conv3_block3_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block3_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_concat │ (None, 28, 28,    │          0 │ conv3_block2_con… │\n","│ (Concatenate)       │ 224)              │            │ conv3_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_0_bn   │ (None, 28, 28,    │        896 │ conv3_block3_con… │\n","│ (BatchNormalizatio… │ 224)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_0_relu │ (None, 28, 28,    │          0 │ conv3_block4_0_b… │\n","│ (Activation)        │ 224)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_1_conv │ (None, 28, 28,    │     28,672 │ conv3_block4_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_1_bn   │ (None, 28, 28,    │        512 │ conv3_block4_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_1_relu │ (None, 28, 28,    │          0 │ conv3_block4_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block4_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_concat │ (None, 28, 28,    │          0 │ conv3_block3_con… │\n","│ (Concatenate)       │ 256)              │            │ conv3_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_0_bn   │ (None, 28, 28,    │      1,024 │ conv3_block4_con… │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_0_relu │ (None, 28, 28,    │          0 │ conv3_block5_0_b… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_1_conv │ (None, 28, 28,    │     32,768 │ conv3_block5_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_1_bn   │ (None, 28, 28,    │        512 │ conv3_block5_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_1_relu │ (None, 28, 28,    │          0 │ conv3_block5_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block5_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_concat │ (None, 28, 28,    │          0 │ conv3_block4_con… │\n","│ (Concatenate)       │ 288)              │            │ conv3_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_0_bn   │ (None, 28, 28,    │      1,152 │ conv3_block5_con… │\n","│ (BatchNormalizatio… │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_0_relu │ (None, 28, 28,    │          0 │ conv3_block6_0_b… │\n","│ (Activation)        │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_1_conv │ (None, 28, 28,    │     36,864 │ conv3_block6_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_1_bn   │ (None, 28, 28,    │        512 │ conv3_block6_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_1_relu │ (None, 28, 28,    │          0 │ conv3_block6_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block6_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_concat │ (None, 28, 28,    │          0 │ conv3_block5_con… │\n","│ (Concatenate)       │ 320)              │            │ conv3_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_0_bn   │ (None, 28, 28,    │      1,280 │ conv3_block6_con… │\n","│ (BatchNormalizatio… │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_0_relu │ (None, 28, 28,    │          0 │ conv3_block7_0_b… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_1_conv │ (None, 28, 28,    │     40,960 │ conv3_block7_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_1_bn   │ (None, 28, 28,    │        512 │ conv3_block7_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_1_relu │ (None, 28, 28,    │          0 │ conv3_block7_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block7_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_concat │ (None, 28, 28,    │          0 │ conv3_block6_con… │\n","│ (Concatenate)       │ 352)              │            │ conv3_block7_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_0_bn   │ (None, 28, 28,    │      1,408 │ conv3_block7_con… │\n","│ (BatchNormalizatio… │ 352)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_0_relu │ (None, 28, 28,    │          0 │ conv3_block8_0_b… │\n","│ (Activation)        │ 352)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_1_conv │ (None, 28, 28,    │     45,056 │ conv3_block8_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_1_bn   │ (None, 28, 28,    │        512 │ conv3_block8_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_1_relu │ (None, 28, 28,    │          0 │ conv3_block8_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block8_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_concat │ (None, 28, 28,    │          0 │ conv3_block7_con… │\n","│ (Concatenate)       │ 384)              │            │ conv3_block8_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_0_bn   │ (None, 28, 28,    │      1,536 │ conv3_block8_con… │\n","│ (BatchNormalizatio… │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_0_relu │ (None, 28, 28,    │          0 │ conv3_block9_0_b… │\n","│ (Activation)        │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_1_conv │ (None, 28, 28,    │     49,152 │ conv3_block9_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_1_bn   │ (None, 28, 28,    │        512 │ conv3_block9_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_1_relu │ (None, 28, 28,    │          0 │ conv3_block9_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_2_conv │ (None, 28, 28,    │     36,864 │ conv3_block9_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_concat │ (None, 28, 28,    │          0 │ conv3_block8_con… │\n","│ (Concatenate)       │ 416)              │            │ conv3_block9_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_0_bn  │ (None, 28, 28,    │      1,664 │ conv3_block9_con… │\n","│ (BatchNormalizatio… │ 416)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_0_re… │ (None, 28, 28,    │          0 │ conv3_block10_0_… │\n","│ (Activation)        │ 416)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_1_co… │ (None, 28, 28,    │     53,248 │ conv3_block10_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_1_bn  │ (None, 28, 28,    │        512 │ conv3_block10_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_1_re… │ (None, 28, 28,    │          0 │ conv3_block10_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_2_co… │ (None, 28, 28,    │     36,864 │ conv3_block10_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_conc… │ (None, 28, 28,    │          0 │ conv3_block9_con… │\n","│ (Concatenate)       │ 448)              │            │ conv3_block10_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_0_bn  │ (None, 28, 28,    │      1,792 │ conv3_block10_co… │\n","│ (BatchNormalizatio… │ 448)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_0_re… │ (None, 28, 28,    │          0 │ conv3_block11_0_… │\n","│ (Activation)        │ 448)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_1_co… │ (None, 28, 28,    │     57,344 │ conv3_block11_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_1_bn  │ (None, 28, 28,    │        512 │ conv3_block11_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_1_re… │ (None, 28, 28,    │          0 │ conv3_block11_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_2_co… │ (None, 28, 28,    │     36,864 │ conv3_block11_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_conc… │ (None, 28, 28,    │          0 │ conv3_block10_co… │\n","│ (Concatenate)       │ 480)              │            │ conv3_block11_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_0_bn  │ (None, 28, 28,    │      1,920 │ conv3_block11_co… │\n","│ (BatchNormalizatio… │ 480)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_0_re… │ (None, 28, 28,    │          0 │ conv3_block12_0_… │\n","│ (Activation)        │ 480)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_1_co… │ (None, 28, 28,    │     61,440 │ conv3_block12_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_1_bn  │ (None, 28, 28,    │        512 │ conv3_block12_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_1_re… │ (None, 28, 28,    │          0 │ conv3_block12_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_2_co… │ (None, 28, 28,    │     36,864 │ conv3_block12_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_conc… │ (None, 28, 28,    │          0 │ conv3_block11_co… │\n","│ (Concatenate)       │ 512)              │            │ conv3_block12_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_bn            │ (None, 28, 28,    │      2,048 │ conv3_block12_co… │\n","│ (BatchNormalizatio… │ 512)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_relu          │ (None, 28, 28,    │          0 │ pool3_bn[0][0]    │\n","│ (Activation)        │ 512)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_conv (Conv2D) │ (None, 28, 28,    │    131,072 │ pool3_relu[0][0]  │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_pool          │ (None, 14, 14,    │          0 │ pool3_conv[0][0]  │\n","│ (AveragePooling2D)  │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_0_bn   │ (None, 14, 14,    │      1,024 │ pool3_pool[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_0_relu │ (None, 14, 14,    │          0 │ conv4_block1_0_b… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_1_conv │ (None, 14, 14,    │     32,768 │ conv4_block1_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_1_bn   │ (None, 14, 14,    │        512 │ conv4_block1_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_1_relu │ (None, 14, 14,    │          0 │ conv4_block1_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block1_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_concat │ (None, 14, 14,    │          0 │ pool3_pool[0][0], │\n","│ (Concatenate)       │ 288)              │            │ conv4_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_0_bn   │ (None, 14, 14,    │      1,152 │ conv4_block1_con… │\n","│ (BatchNormalizatio… │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_0_relu │ (None, 14, 14,    │          0 │ conv4_block2_0_b… │\n","│ (Activation)        │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_1_conv │ (None, 14, 14,    │     36,864 │ conv4_block2_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_1_bn   │ (None, 14, 14,    │        512 │ conv4_block2_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_1_relu │ (None, 14, 14,    │          0 │ conv4_block2_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block2_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_concat │ (None, 14, 14,    │          0 │ conv4_block1_con… │\n","│ (Concatenate)       │ 320)              │            │ conv4_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_0_bn   │ (None, 14, 14,    │      1,280 │ conv4_block2_con… │\n","│ (BatchNormalizatio… │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_0_relu │ (None, 14, 14,    │          0 │ conv4_block3_0_b… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_1_conv │ (None, 14, 14,    │     40,960 │ conv4_block3_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_1_bn   │ (None, 14, 14,    │        512 │ conv4_block3_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_1_relu │ (None, 14, 14,    │          0 │ conv4_block3_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block3_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_concat │ (None, 14, 14,    │          0 │ conv4_block2_con… │\n","│ (Concatenate)       │ 352)              │            │ conv4_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_0_bn   │ (None, 14, 14,    │      1,408 │ conv4_block3_con… │\n","│ (BatchNormalizatio… │ 352)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_0_relu │ (None, 14, 14,    │          0 │ conv4_block4_0_b… │\n","│ (Activation)        │ 352)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_1_conv │ (None, 14, 14,    │     45,056 │ conv4_block4_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_1_bn   │ (None, 14, 14,    │        512 │ conv4_block4_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_1_relu │ (None, 14, 14,    │          0 │ conv4_block4_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block4_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_concat │ (None, 14, 14,    │          0 │ conv4_block3_con… │\n","│ (Concatenate)       │ 384)              │            │ conv4_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_0_bn   │ (None, 14, 14,    │      1,536 │ conv4_block4_con… │\n","│ (BatchNormalizatio… │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_0_relu │ (None, 14, 14,    │          0 │ conv4_block5_0_b… │\n","│ (Activation)        │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_1_conv │ (None, 14, 14,    │     49,152 │ conv4_block5_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_1_bn   │ (None, 14, 14,    │        512 │ conv4_block5_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_1_relu │ (None, 14, 14,    │          0 │ conv4_block5_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block5_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_concat │ (None, 14, 14,    │          0 │ conv4_block4_con… │\n","│ (Concatenate)       │ 416)              │            │ conv4_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_0_bn   │ (None, 14, 14,    │      1,664 │ conv4_block5_con… │\n","│ (BatchNormalizatio… │ 416)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_0_relu │ (None, 14, 14,    │          0 │ conv4_block6_0_b… │\n","│ (Activation)        │ 416)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_1_conv │ (None, 14, 14,    │     53,248 │ conv4_block6_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_1_bn   │ (None, 14, 14,    │        512 │ conv4_block6_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_1_relu │ (None, 14, 14,    │          0 │ conv4_block6_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block6_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_concat │ (None, 14, 14,    │          0 │ conv4_block5_con… │\n","│ (Concatenate)       │ 448)              │            │ conv4_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_0_bn   │ (None, 14, 14,    │      1,792 │ conv4_block6_con… │\n","│ (BatchNormalizatio… │ 448)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_0_relu │ (None, 14, 14,    │          0 │ conv4_block7_0_b… │\n","│ (Activation)        │ 448)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_1_conv │ (None, 14, 14,    │     57,344 │ conv4_block7_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_1_bn   │ (None, 14, 14,    │        512 │ conv4_block7_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_1_relu │ (None, 14, 14,    │          0 │ conv4_block7_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block7_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_concat │ (None, 14, 14,    │          0 │ conv4_block6_con… │\n","│ (Concatenate)       │ 480)              │            │ conv4_block7_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_0_bn   │ (None, 14, 14,    │      1,920 │ conv4_block7_con… │\n","│ (BatchNormalizatio… │ 480)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_0_relu │ (None, 14, 14,    │          0 │ conv4_block8_0_b… │\n","│ (Activation)        │ 480)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_1_conv │ (None, 14, 14,    │     61,440 │ conv4_block8_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_1_bn   │ (None, 14, 14,    │        512 │ conv4_block8_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_1_relu │ (None, 14, 14,    │          0 │ conv4_block8_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block8_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_concat │ (None, 14, 14,    │          0 │ conv4_block7_con… │\n","│ (Concatenate)       │ 512)              │            │ conv4_block8_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_0_bn   │ (None, 14, 14,    │      2,048 │ conv4_block8_con… │\n","│ (BatchNormalizatio… │ 512)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_0_relu │ (None, 14, 14,    │          0 │ conv4_block9_0_b… │\n","│ (Activation)        │ 512)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_1_conv │ (None, 14, 14,    │     65,536 │ conv4_block9_0_r… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_1_bn   │ (None, 14, 14,    │        512 │ conv4_block9_1_c… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_1_relu │ (None, 14, 14,    │          0 │ conv4_block9_1_b… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_2_conv │ (None, 14, 14,    │     36,864 │ conv4_block9_1_r… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_concat │ (None, 14, 14,    │          0 │ conv4_block8_con… │\n","│ (Concatenate)       │ 544)              │            │ conv4_block9_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_0_bn  │ (None, 14, 14,    │      2,176 │ conv4_block9_con… │\n","│ (BatchNormalizatio… │ 544)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_0_re… │ (None, 14, 14,    │          0 │ conv4_block10_0_… │\n","│ (Activation)        │ 544)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_1_co… │ (None, 14, 14,    │     69,632 │ conv4_block10_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_1_bn  │ (None, 14, 14,    │        512 │ conv4_block10_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_1_re… │ (None, 14, 14,    │          0 │ conv4_block10_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block10_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_conc… │ (None, 14, 14,    │          0 │ conv4_block9_con… │\n","│ (Concatenate)       │ 576)              │            │ conv4_block10_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_0_bn  │ (None, 14, 14,    │      2,304 │ conv4_block10_co… │\n","│ (BatchNormalizatio… │ 576)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_0_re… │ (None, 14, 14,    │          0 │ conv4_block11_0_… │\n","│ (Activation)        │ 576)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_1_co… │ (None, 14, 14,    │     73,728 │ conv4_block11_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_1_bn  │ (None, 14, 14,    │        512 │ conv4_block11_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_1_re… │ (None, 14, 14,    │          0 │ conv4_block11_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block11_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_conc… │ (None, 14, 14,    │          0 │ conv4_block10_co… │\n","│ (Concatenate)       │ 608)              │            │ conv4_block11_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_0_bn  │ (None, 14, 14,    │      2,432 │ conv4_block11_co… │\n","│ (BatchNormalizatio… │ 608)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_0_re… │ (None, 14, 14,    │          0 │ conv4_block12_0_… │\n","│ (Activation)        │ 608)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_1_co… │ (None, 14, 14,    │     77,824 │ conv4_block12_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_1_bn  │ (None, 14, 14,    │        512 │ conv4_block12_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_1_re… │ (None, 14, 14,    │          0 │ conv4_block12_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block12_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_conc… │ (None, 14, 14,    │          0 │ conv4_block11_co… │\n","│ (Concatenate)       │ 640)              │            │ conv4_block12_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_0_bn  │ (None, 14, 14,    │      2,560 │ conv4_block12_co… │\n","│ (BatchNormalizatio… │ 640)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_0_re… │ (None, 14, 14,    │          0 │ conv4_block13_0_… │\n","│ (Activation)        │ 640)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_1_co… │ (None, 14, 14,    │     81,920 │ conv4_block13_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_1_bn  │ (None, 14, 14,    │        512 │ conv4_block13_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_1_re… │ (None, 14, 14,    │          0 │ conv4_block13_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block13_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_conc… │ (None, 14, 14,    │          0 │ conv4_block12_co… │\n","│ (Concatenate)       │ 672)              │            │ conv4_block13_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_0_bn  │ (None, 14, 14,    │      2,688 │ conv4_block13_co… │\n","│ (BatchNormalizatio… │ 672)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_0_re… │ (None, 14, 14,    │          0 │ conv4_block14_0_… │\n","│ (Activation)        │ 672)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_1_co… │ (None, 14, 14,    │     86,016 │ conv4_block14_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_1_bn  │ (None, 14, 14,    │        512 │ conv4_block14_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_1_re… │ (None, 14, 14,    │          0 │ conv4_block14_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block14_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_conc… │ (None, 14, 14,    │          0 │ conv4_block13_co… │\n","│ (Concatenate)       │ 704)              │            │ conv4_block14_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_0_bn  │ (None, 14, 14,    │      2,816 │ conv4_block14_co… │\n","│ (BatchNormalizatio… │ 704)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_0_re… │ (None, 14, 14,    │          0 │ conv4_block15_0_… │\n","│ (Activation)        │ 704)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_1_co… │ (None, 14, 14,    │     90,112 │ conv4_block15_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_1_bn  │ (None, 14, 14,    │        512 │ conv4_block15_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_1_re… │ (None, 14, 14,    │          0 │ conv4_block15_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block15_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_conc… │ (None, 14, 14,    │          0 │ conv4_block14_co… │\n","│ (Concatenate)       │ 736)              │            │ conv4_block15_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_0_bn  │ (None, 14, 14,    │      2,944 │ conv4_block15_co… │\n","│ (BatchNormalizatio… │ 736)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_0_re… │ (None, 14, 14,    │          0 │ conv4_block16_0_… │\n","│ (Activation)        │ 736)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_1_co… │ (None, 14, 14,    │     94,208 │ conv4_block16_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_1_bn  │ (None, 14, 14,    │        512 │ conv4_block16_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_1_re… │ (None, 14, 14,    │          0 │ conv4_block16_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block16_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_conc… │ (None, 14, 14,    │          0 │ conv4_block15_co… │\n","│ (Concatenate)       │ 768)              │            │ conv4_block16_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_0_bn  │ (None, 14, 14,    │      3,072 │ conv4_block16_co… │\n","│ (BatchNormalizatio… │ 768)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_0_re… │ (None, 14, 14,    │          0 │ conv4_block17_0_… │\n","│ (Activation)        │ 768)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_1_co… │ (None, 14, 14,    │     98,304 │ conv4_block17_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_1_bn  │ (None, 14, 14,    │        512 │ conv4_block17_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_1_re… │ (None, 14, 14,    │          0 │ conv4_block17_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block17_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_conc… │ (None, 14, 14,    │          0 │ conv4_block16_co… │\n","│ (Concatenate)       │ 800)              │            │ conv4_block17_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_0_bn  │ (None, 14, 14,    │      3,200 │ conv4_block17_co… │\n","│ (BatchNormalizatio… │ 800)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_0_re… │ (None, 14, 14,    │          0 │ conv4_block18_0_… │\n","│ (Activation)        │ 800)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_1_co… │ (None, 14, 14,    │    102,400 │ conv4_block18_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_1_bn  │ (None, 14, 14,    │        512 │ conv4_block18_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_1_re… │ (None, 14, 14,    │          0 │ conv4_block18_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block18_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_conc… │ (None, 14, 14,    │          0 │ conv4_block17_co… │\n","│ (Concatenate)       │ 832)              │            │ conv4_block18_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_0_bn  │ (None, 14, 14,    │      3,328 │ conv4_block18_co… │\n","│ (BatchNormalizatio… │ 832)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_0_re… │ (None, 14, 14,    │          0 │ conv4_block19_0_… │\n","│ (Activation)        │ 832)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_1_co… │ (None, 14, 14,    │    106,496 │ conv4_block19_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_1_bn  │ (None, 14, 14,    │        512 │ conv4_block19_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_1_re… │ (None, 14, 14,    │          0 │ conv4_block19_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block19_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_conc… │ (None, 14, 14,    │          0 │ conv4_block18_co… │\n","│ (Concatenate)       │ 864)              │            │ conv4_block19_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_0_bn  │ (None, 14, 14,    │      3,456 │ conv4_block19_co… │\n","│ (BatchNormalizatio… │ 864)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_0_re… │ (None, 14, 14,    │          0 │ conv4_block20_0_… │\n","│ (Activation)        │ 864)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_1_co… │ (None, 14, 14,    │    110,592 │ conv4_block20_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_1_bn  │ (None, 14, 14,    │        512 │ conv4_block20_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_1_re… │ (None, 14, 14,    │          0 │ conv4_block20_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block20_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_conc… │ (None, 14, 14,    │          0 │ conv4_block19_co… │\n","│ (Concatenate)       │ 896)              │            │ conv4_block20_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_0_bn  │ (None, 14, 14,    │      3,584 │ conv4_block20_co… │\n","│ (BatchNormalizatio… │ 896)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_0_re… │ (None, 14, 14,    │          0 │ conv4_block21_0_… │\n","│ (Activation)        │ 896)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_1_co… │ (None, 14, 14,    │    114,688 │ conv4_block21_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_1_bn  │ (None, 14, 14,    │        512 │ conv4_block21_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_1_re… │ (None, 14, 14,    │          0 │ conv4_block21_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block21_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_conc… │ (None, 14, 14,    │          0 │ conv4_block20_co… │\n","│ (Concatenate)       │ 928)              │            │ conv4_block21_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_0_bn  │ (None, 14, 14,    │      3,712 │ conv4_block21_co… │\n","│ (BatchNormalizatio… │ 928)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_0_re… │ (None, 14, 14,    │          0 │ conv4_block22_0_… │\n","│ (Activation)        │ 928)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_1_co… │ (None, 14, 14,    │    118,784 │ conv4_block22_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_1_bn  │ (None, 14, 14,    │        512 │ conv4_block22_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_1_re… │ (None, 14, 14,    │          0 │ conv4_block22_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block22_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_conc… │ (None, 14, 14,    │          0 │ conv4_block21_co… │\n","│ (Concatenate)       │ 960)              │            │ conv4_block22_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_0_bn  │ (None, 14, 14,    │      3,840 │ conv4_block22_co… │\n","│ (BatchNormalizatio… │ 960)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_0_re… │ (None, 14, 14,    │          0 │ conv4_block23_0_… │\n","│ (Activation)        │ 960)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_1_co… │ (None, 14, 14,    │    122,880 │ conv4_block23_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_1_bn  │ (None, 14, 14,    │        512 │ conv4_block23_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_1_re… │ (None, 14, 14,    │          0 │ conv4_block23_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block23_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_conc… │ (None, 14, 14,    │          0 │ conv4_block22_co… │\n","│ (Concatenate)       │ 992)              │            │ conv4_block23_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_0_bn  │ (None, 14, 14,    │      3,968 │ conv4_block23_co… │\n","│ (BatchNormalizatio… │ 992)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_0_re… │ (None, 14, 14,    │          0 │ conv4_block24_0_… │\n","│ (Activation)        │ 992)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_1_co… │ (None, 14, 14,    │    126,976 │ conv4_block24_0_… │\n","│ (Conv2D)            │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_1_bn  │ (None, 14, 14,    │        512 │ conv4_block24_1_… │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_1_re… │ (None, 14, 14,    │          0 │ conv4_block24_1_… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_2_co… │ (None, 14, 14,    │     36,864 │ conv4_block24_1_… │\n","│ (Conv2D)            │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_conc… │ (None, 14, 14,    │          0 │ conv4_block23_co… │\n","│ (Concatenate)       │ 1024)             │            │ conv4_block24_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_bn            │ (None, 14, 14,    │      4,096 │ conv4_block24_co… │\n","│ (BatchNormalizatio… │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_relu          │ (None, 14, 14,    │          0 │ pool4_bn[0][0]    │\n","│ (Activation)        │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_conv (Conv2D) │ (None, 14, 14,    │    524,288 │ pool4_relu[0][0]  │\n","│                     │ 512)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_pool          │ (None, 7, 7, 512) │          0 │ pool4_conv[0][0]  │\n","│ (AveragePooling2D)  │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_0_bn   │ (None, 7, 7, 512) │      2,048 │ pool4_pool[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_0_relu │ (None, 7, 7, 512) │          0 │ conv5_block1_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_1_conv │ (None, 7, 7, 128) │     65,536 │ conv5_block1_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block1_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block1_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block1_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_concat │ (None, 7, 7, 544) │          0 │ pool4_pool[0][0], │\n","│ (Concatenate)       │                   │            │ conv5_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_0_bn   │ (None, 7, 7, 544) │      2,176 │ conv5_block1_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_0_relu │ (None, 7, 7, 544) │          0 │ conv5_block2_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_1_conv │ (None, 7, 7, 128) │     69,632 │ conv5_block2_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block2_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block2_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block2_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_concat │ (None, 7, 7, 576) │          0 │ conv5_block1_con… │\n","│ (Concatenate)       │                   │            │ conv5_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_0_bn   │ (None, 7, 7, 576) │      2,304 │ conv5_block2_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_0_relu │ (None, 7, 7, 576) │          0 │ conv5_block3_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_1_conv │ (None, 7, 7, 128) │     73,728 │ conv5_block3_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block3_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block3_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block3_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_concat │ (None, 7, 7, 608) │          0 │ conv5_block2_con… │\n","│ (Concatenate)       │                   │            │ conv5_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_0_bn   │ (None, 7, 7, 608) │      2,432 │ conv5_block3_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_0_relu │ (None, 7, 7, 608) │          0 │ conv5_block4_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_1_conv │ (None, 7, 7, 128) │     77,824 │ conv5_block4_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block4_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block4_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block4_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_concat │ (None, 7, 7, 640) │          0 │ conv5_block3_con… │\n","│ (Concatenate)       │                   │            │ conv5_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_0_bn   │ (None, 7, 7, 640) │      2,560 │ conv5_block4_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_0_relu │ (None, 7, 7, 640) │          0 │ conv5_block5_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_1_conv │ (None, 7, 7, 128) │     81,920 │ conv5_block5_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block5_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block5_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block5_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_concat │ (None, 7, 7, 672) │          0 │ conv5_block4_con… │\n","│ (Concatenate)       │                   │            │ conv5_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_0_bn   │ (None, 7, 7, 672) │      2,688 │ conv5_block5_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_0_relu │ (None, 7, 7, 672) │          0 │ conv5_block6_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_1_conv │ (None, 7, 7, 128) │     86,016 │ conv5_block6_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block6_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block6_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block6_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_concat │ (None, 7, 7, 704) │          0 │ conv5_block5_con… │\n","│ (Concatenate)       │                   │            │ conv5_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_0_bn   │ (None, 7, 7, 704) │      2,816 │ conv5_block6_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_0_relu │ (None, 7, 7, 704) │          0 │ conv5_block7_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_1_conv │ (None, 7, 7, 128) │     90,112 │ conv5_block7_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block7_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block7_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block7_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_concat │ (None, 7, 7, 736) │          0 │ conv5_block6_con… │\n","│ (Concatenate)       │                   │            │ conv5_block7_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_0_bn   │ (None, 7, 7, 736) │      2,944 │ conv5_block7_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_0_relu │ (None, 7, 7, 736) │          0 │ conv5_block8_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_1_conv │ (None, 7, 7, 128) │     94,208 │ conv5_block8_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block8_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block8_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block8_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_concat │ (None, 7, 7, 768) │          0 │ conv5_block7_con… │\n","│ (Concatenate)       │                   │            │ conv5_block8_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_0_bn   │ (None, 7, 7, 768) │      3,072 │ conv5_block8_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_0_relu │ (None, 7, 7, 768) │          0 │ conv5_block9_0_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_1_conv │ (None, 7, 7, 128) │     98,304 │ conv5_block9_0_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_1_bn   │ (None, 7, 7, 128) │        512 │ conv5_block9_1_c… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_1_relu │ (None, 7, 7, 128) │          0 │ conv5_block9_1_b… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_2_conv │ (None, 7, 7, 32)  │     36,864 │ conv5_block9_1_r… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_concat │ (None, 7, 7, 800) │          0 │ conv5_block8_con… │\n","│ (Concatenate)       │                   │            │ conv5_block9_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_0_bn  │ (None, 7, 7, 800) │      3,200 │ conv5_block9_con… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_0_re… │ (None, 7, 7, 800) │          0 │ conv5_block10_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_1_co… │ (None, 7, 7, 128) │    102,400 │ conv5_block10_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block10_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block10_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block10_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_conc… │ (None, 7, 7, 832) │          0 │ conv5_block9_con… │\n","│ (Concatenate)       │                   │            │ conv5_block10_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_0_bn  │ (None, 7, 7, 832) │      3,328 │ conv5_block10_co… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_0_re… │ (None, 7, 7, 832) │          0 │ conv5_block11_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_1_co… │ (None, 7, 7, 128) │    106,496 │ conv5_block11_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block11_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block11_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block11_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_conc… │ (None, 7, 7, 864) │          0 │ conv5_block10_co… │\n","│ (Concatenate)       │                   │            │ conv5_block11_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_0_bn  │ (None, 7, 7, 864) │      3,456 │ conv5_block11_co… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_0_re… │ (None, 7, 7, 864) │          0 │ conv5_block12_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_1_co… │ (None, 7, 7, 128) │    110,592 │ conv5_block12_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block12_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block12_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block12_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_conc… │ (None, 7, 7, 896) │          0 │ conv5_block11_co… │\n","│ (Concatenate)       │                   │            │ conv5_block12_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_0_bn  │ (None, 7, 7, 896) │      3,584 │ conv5_block12_co… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_0_re… │ (None, 7, 7, 896) │          0 │ conv5_block13_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_1_co… │ (None, 7, 7, 128) │    114,688 │ conv5_block13_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block13_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block13_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block13_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_conc… │ (None, 7, 7, 928) │          0 │ conv5_block12_co… │\n","│ (Concatenate)       │                   │            │ conv5_block13_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_0_bn  │ (None, 7, 7, 928) │      3,712 │ conv5_block13_co… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_0_re… │ (None, 7, 7, 928) │          0 │ conv5_block14_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_1_co… │ (None, 7, 7, 128) │    118,784 │ conv5_block14_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block14_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block14_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block14_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_conc… │ (None, 7, 7, 960) │          0 │ conv5_block13_co… │\n","│ (Concatenate)       │                   │            │ conv5_block14_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_0_bn  │ (None, 7, 7, 960) │      3,840 │ conv5_block14_co… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_0_re… │ (None, 7, 7, 960) │          0 │ conv5_block15_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_1_co… │ (None, 7, 7, 128) │    122,880 │ conv5_block15_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block15_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block15_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block15_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_conc… │ (None, 7, 7, 992) │          0 │ conv5_block14_co… │\n","│ (Concatenate)       │                   │            │ conv5_block15_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_0_bn  │ (None, 7, 7, 992) │      3,968 │ conv5_block15_co… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_0_re… │ (None, 7, 7, 992) │          0 │ conv5_block16_0_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_1_co… │ (None, 7, 7, 128) │    126,976 │ conv5_block16_0_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_1_bn  │ (None, 7, 7, 128) │        512 │ conv5_block16_1_… │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_1_re… │ (None, 7, 7, 128) │          0 │ conv5_block16_1_… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_2_co… │ (None, 7, 7, 32)  │     36,864 │ conv5_block16_1_… │\n","│ (Conv2D)            │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_conc… │ (None, 7, 7,      │          0 │ conv5_block15_co… │\n","│ (Concatenate)       │ 1024)             │            │ conv5_block16_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ bn                  │ (None, 7, 7,      │      4,096 │ conv5_block16_co… │\n","│ (BatchNormalizatio… │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ relu (Activation)   │ (None, 7, 7,      │          0 │ bn[0][0]          │\n","│                     │ 1024)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (None, 1024)      │          0 │ relu[0][0]        │\n","│ (GlobalAveragePool… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_33 (Dense)    │ (None, 1024)      │  1,049,600 │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_34 (Dense)    │ (None, 1)         │      1,025 │ dense_33[0][0]    │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","
\n"],"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n","│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ zero_padding2d │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m230\u001b[0m, \u001b[38;5;34m230\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ input_layer_9[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv1_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, │ \u001b[38;5;34m9,408\u001b[0m │ zero_padding2d[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, │ \u001b[38;5;34m256\u001b[0m │ conv1_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ zero_padding2d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ zero_padding2d_1… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m256\u001b[0m │ pool1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block1_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m8,192\u001b[0m │ conv2_block1_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block1_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block1_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block1_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ conv2_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2_block1_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block2_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ conv2_block2_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block2_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block2_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block2_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block1_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ conv2_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block2_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block3_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ conv2_block3_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block3_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block3_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block3_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block2_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ conv2_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m640\u001b[0m │ conv2_block3_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block4_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m20,480\u001b[0m │ conv2_block4_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block4_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block4_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block4_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block3_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ conv2_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2_block4_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block5_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m24,576\u001b[0m │ conv2_block5_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block5_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block5_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block5_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block4_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ conv2_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m896\u001b[0m │ conv2_block5_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m224\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block6_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m28,672\u001b[0m │ conv2_block6_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block6_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block6_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block6_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block5_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ conv2_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ conv2_block6_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool2_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ pool2_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool2_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool2_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ pool2_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block1_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ conv3_block1_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block1_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block1_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block1_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool2_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ conv3_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m640\u001b[0m │ conv3_block1_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block2_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m20,480\u001b[0m │ conv3_block2_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block2_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block2_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block2_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block1_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ conv3_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv3_block2_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block3_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m24,576\u001b[0m │ conv3_block3_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block3_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block3_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block3_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block2_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ conv3_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m896\u001b[0m │ conv3_block3_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m224\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block4_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m28,672\u001b[0m │ conv3_block4_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block4_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block4_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block4_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block3_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ conv3_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ conv3_block4_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block5_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ conv3_block5_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block5_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block5_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block5_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block4_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ conv3_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv3_block5_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block6_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block6_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block6_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block6_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block6_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block5_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ conv3_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,280\u001b[0m │ conv3_block6_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block7_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m40,960\u001b[0m │ conv3_block7_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block7_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block7_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block7_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block7_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block6_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ conv3_block7_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,408\u001b[0m │ conv3_block7_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m352\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block8_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m45,056\u001b[0m │ conv3_block8_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block8_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block8_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block8_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block8_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block7_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ conv3_block8_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,536\u001b[0m │ conv3_block8_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block9_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m49,152\u001b[0m │ conv3_block9_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block9_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block9_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block9_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block9_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block8_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ conv3_block9_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,664\u001b[0m │ conv3_block9_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m416\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block10_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m53,248\u001b[0m │ conv3_block10_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block10_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block10_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block10_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block10_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block9_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ conv3_block10_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,792\u001b[0m │ conv3_block10_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m448\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block11_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m57,344\u001b[0m │ conv3_block11_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block11_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block11_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block11_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block11_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block10_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ conv3_block11_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,920\u001b[0m │ conv3_block11_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m480\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block12_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m61,440\u001b[0m │ conv3_block12_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block12_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block12_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block12_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv3_block12_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block11_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ conv3_block12_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m2,048\u001b[0m │ conv3_block12_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m512\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool3_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m131,072\u001b[0m │ pool3_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool3_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool3_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ pool3_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block1_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ conv4_block1_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block1_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block1_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block1_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool3_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ conv4_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv4_block1_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block2_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block2_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block2_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block2_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block2_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block1_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ conv4_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,280\u001b[0m │ conv4_block2_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block3_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m40,960\u001b[0m │ conv4_block3_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block3_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block3_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block3_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block2_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ conv4_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,408\u001b[0m │ conv4_block3_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m352\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block4_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m45,056\u001b[0m │ conv4_block4_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block4_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block4_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block4_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block3_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ conv4_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,536\u001b[0m │ conv4_block4_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block5_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m49,152\u001b[0m │ conv4_block5_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block5_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block5_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block5_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block4_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ conv4_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,664\u001b[0m │ conv4_block5_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m416\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block6_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m53,248\u001b[0m │ conv4_block6_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block6_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block6_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block6_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block5_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ conv4_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,792\u001b[0m │ conv4_block6_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m448\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block7_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m57,344\u001b[0m │ conv4_block7_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block7_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block7_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block7_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block7_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block6_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ conv4_block7_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,920\u001b[0m │ conv4_block7_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m480\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block8_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m61,440\u001b[0m │ conv4_block8_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block8_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block8_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block8_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block8_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block7_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ conv4_block8_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,048\u001b[0m │ conv4_block8_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m512\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block9_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m65,536\u001b[0m │ conv4_block9_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block9_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block9_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block9_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block9_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block8_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m544\u001b[0m) │ │ conv4_block9_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,176\u001b[0m │ conv4_block9_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m544\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block10_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m544\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m69,632\u001b[0m │ conv4_block10_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block10_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block10_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block10_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block10_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block9_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m576\u001b[0m) │ │ conv4_block10_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,304\u001b[0m │ conv4_block10_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block11_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m576\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m73,728\u001b[0m │ conv4_block11_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block11_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block11_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block11_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block11_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block10_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m608\u001b[0m) │ │ conv4_block11_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,432\u001b[0m │ conv4_block11_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m608\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block12_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m608\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m77,824\u001b[0m │ conv4_block12_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block12_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block12_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block12_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block12_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block11_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m640\u001b[0m) │ │ conv4_block12_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,560\u001b[0m │ conv4_block12_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m640\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block13_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m640\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m81,920\u001b[0m │ conv4_block13_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block13_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block13_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block13_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block13_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block12_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m672\u001b[0m) │ │ conv4_block13_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,688\u001b[0m │ conv4_block13_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m672\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block14_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m672\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m86,016\u001b[0m │ conv4_block14_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block14_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block14_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block14_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block14_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block13_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m704\u001b[0m) │ │ conv4_block14_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,816\u001b[0m │ conv4_block14_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m704\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block15_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m704\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m90,112\u001b[0m │ conv4_block15_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block15_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block15_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block15_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block15_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block14_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m736\u001b[0m) │ │ conv4_block15_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,944\u001b[0m │ conv4_block15_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m736\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block16_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m736\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m94,208\u001b[0m │ conv4_block16_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block16_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block16_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block16_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block16_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block15_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ conv4_block16_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,072\u001b[0m │ conv4_block16_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m768\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block17_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m98,304\u001b[0m │ conv4_block17_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block17_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block17_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block17_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block17_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block16_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m800\u001b[0m) │ │ conv4_block17_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,200\u001b[0m │ conv4_block17_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m800\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block18_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m800\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m102,400\u001b[0m │ conv4_block18_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block18_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block18_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block18_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block18_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block17_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m832\u001b[0m) │ │ conv4_block18_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,328\u001b[0m │ conv4_block18_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m832\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block19_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m832\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m106,496\u001b[0m │ conv4_block19_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block19_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block19_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block19_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block19_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block18_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m864\u001b[0m) │ │ conv4_block19_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,456\u001b[0m │ conv4_block19_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m864\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block20_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m864\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m110,592\u001b[0m │ conv4_block20_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block20_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block20_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block20_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block20_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block19_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m896\u001b[0m) │ │ conv4_block20_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,584\u001b[0m │ conv4_block20_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m896\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block21_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m896\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ conv4_block21_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block21_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block21_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block21_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block21_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block20_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m928\u001b[0m) │ │ conv4_block21_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,712\u001b[0m │ conv4_block21_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m928\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block22_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m928\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m118,784\u001b[0m │ conv4_block22_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block22_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block22_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block22_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block22_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block21_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m960\u001b[0m) │ │ conv4_block22_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,840\u001b[0m │ conv4_block22_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m960\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block23_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m960\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m122,880\u001b[0m │ conv4_block23_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block23_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block23_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block23_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block23_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block22_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m992\u001b[0m) │ │ conv4_block23_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,968\u001b[0m │ conv4_block23_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m992\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block24_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m992\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m126,976\u001b[0m │ conv4_block24_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block24_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block24_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block24_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv4_block24_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block23_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ conv4_block24_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ conv4_block24_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool4_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m524,288\u001b[0m │ pool4_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m512\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ pool4_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ pool4_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ pool4_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block1_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m65,536\u001b[0m │ conv5_block1_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block1_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block1_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block1_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m544\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ pool4_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block1_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m544\u001b[0m) │ \u001b[38;5;34m2,176\u001b[0m │ conv5_block1_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m544\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block2_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m69,632\u001b[0m │ conv5_block2_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block2_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block2_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block2_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block1_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block2_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) │ \u001b[38;5;34m2,304\u001b[0m │ conv5_block2_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block3_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m73,728\u001b[0m │ conv5_block3_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block3_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block3_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block3_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m608\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block2_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block3_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m608\u001b[0m) │ \u001b[38;5;34m2,432\u001b[0m │ conv5_block3_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m608\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block4_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m77,824\u001b[0m │ conv5_block4_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block4_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block4_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block4_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m640\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block3_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block4_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m640\u001b[0m) │ \u001b[38;5;34m2,560\u001b[0m │ conv5_block4_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m640\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block5_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m81,920\u001b[0m │ conv5_block5_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block5_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block5_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block5_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m672\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block4_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block5_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m672\u001b[0m) │ \u001b[38;5;34m2,688\u001b[0m │ conv5_block5_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m672\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m86,016\u001b[0m │ conv5_block6_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block6_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block6_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block5_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block6_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m2,816\u001b[0m │ conv5_block6_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block7_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m90,112\u001b[0m │ conv5_block7_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block7_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block7_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block7_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block7_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m736\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block7_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m736\u001b[0m) │ \u001b[38;5;34m2,944\u001b[0m │ conv5_block7_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m736\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block8_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m94,208\u001b[0m │ conv5_block8_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block8_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block8_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block8_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block8_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block7_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block8_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m3,072\u001b[0m │ conv5_block8_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block9_0_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m98,304\u001b[0m │ conv5_block9_0_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block9_1_c… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block9_1_b… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block9_1_r… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block9_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m800\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block8_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block9_2_c… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m800\u001b[0m) │ \u001b[38;5;34m3,200\u001b[0m │ conv5_block9_con… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m800\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block10_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m102,400\u001b[0m │ conv5_block10_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block10_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block10_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block10_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block10_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m832\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block9_con… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block10_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m832\u001b[0m) │ \u001b[38;5;34m3,328\u001b[0m │ conv5_block10_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m832\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block11_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m106,496\u001b[0m │ conv5_block11_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block11_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block11_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block11_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block11_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m864\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block10_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block11_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m864\u001b[0m) │ \u001b[38;5;34m3,456\u001b[0m │ conv5_block11_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m864\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block12_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m110,592\u001b[0m │ conv5_block12_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block12_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block12_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block12_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block12_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m896\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block11_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block12_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m896\u001b[0m) │ \u001b[38;5;34m3,584\u001b[0m │ conv5_block12_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m896\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block13_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m114,688\u001b[0m │ conv5_block13_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block13_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block13_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block13_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block13_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m928\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block12_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block13_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m928\u001b[0m) │ \u001b[38;5;34m3,712\u001b[0m │ conv5_block13_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m928\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block14_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m118,784\u001b[0m │ conv5_block14_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block14_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block14_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block14_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block14_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block13_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block14_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │ \u001b[38;5;34m3,840\u001b[0m │ conv5_block14_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block15_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m122,880\u001b[0m │ conv5_block15_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block15_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block15_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block15_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block15_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m992\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block14_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block15_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m992\u001b[0m) │ \u001b[38;5;34m3,968\u001b[0m │ conv5_block15_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m992\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block16_0_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m126,976\u001b[0m │ conv5_block16_0_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block16_1_… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block16_1_… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block16_1_… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv5_block16_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block15_co… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ conv5_block16_2_… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ conv5_block16_co… │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ relu (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_33 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m1,049,600\u001b[0m │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_34 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m1,025\u001b[0m │ dense_33[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Total params: 8,088,129 (30.85 MB)\n","
\n"],"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,088,129\u001b[0m (30.85 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Trainable params: 1,050,625 (4.01 MB)\n","
\n"],"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,050,625\u001b[0m (4.01 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Non-trainable params: 7,037,504 (26.85 MB)\n","
\n"],"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m7,037,504\u001b[0m (26.85 MB)\n"]},"metadata":{},"output_type":"display_data"}],"source":["from tensorflow.keras.applications import DenseNet121\n","from tensorflow.keras.layers import Dense, Flatten, Dropout\n","from tensorflow.keras.models import Model\n","\n","# Load the DenseNet121 model and create the feature extractor\n","densenet_model = DenseNet121(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n","feature_extractor = Model(inputs=densenet_model.input, outputs=densenet_model.get_layer('relu').output)\n","\n","# Freeze the convolutional base layers\n","for layer in feature_extractor.layers:\n"," layer.trainable = False\n","\n","# Add custom dense layers on top\n","x = feature_extractor.output\n","x = GlobalAveragePooling2D()(x)\n","x = Dense(1024, activation='relu')(x)\n","\n","output = Dense(1, activation='sigmoid')(x)\n","\n","# Create the final model\n","model = Model(inputs=feature_extractor.input, outputs=output)\n","\n","model_checkpoint = ModelCheckpoint('att_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\n","reduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=0.00000001, verbose=1)\n","\n","# Print the model summary\n","model.summary()"]},{"cell_type":"code","execution_count":46,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:02:37.541682Z","iopub.status.busy":"2024-05-30T13:02:37.541355Z","iopub.status.idle":"2024-05-30T13:04:35.881278Z","shell.execute_reply":"2024-05-30T13:04:35.880297Z","shell.execute_reply.started":"2024-05-30T13:02:37.541654Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/20\n","\u001b[1m 2/22\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 99ms/step - accuracy: 0.5156 - loss: 0.8316 "]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074192.525421 1770 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 797ms/step - accuracy: 0.6141 - loss: 0.7596"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074218.971629 1770 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\n","Epoch 1: val_accuracy improved from -inf to 0.76027, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m78s\u001b[0m 2s/step - accuracy: 0.6166 - loss: 0.7554 - val_accuracy: 0.7603 - val_loss: 0.4916 - learning_rate: 0.0010\n","Epoch 2/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 81ms/step - accuracy: 0.8266 - loss: 0.3617\n","Epoch 2: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 97ms/step - accuracy: 0.8274 - loss: 0.3602 - val_accuracy: 0.7192 - val_loss: 0.5042 - learning_rate: 0.0010\n","Epoch 3/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 79ms/step - accuracy: 0.8882 - loss: 0.2771\n","Epoch 3: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.8887 - loss: 0.2766 - val_accuracy: 0.7397 - val_loss: 0.5246 - learning_rate: 0.0010\n","Epoch 4/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 79ms/step - accuracy: 0.9328 - loss: 0.1930\n","Epoch 4: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 96ms/step - accuracy: 0.9318 - loss: 0.1943 - val_accuracy: 0.7055 - val_loss: 0.5896 - learning_rate: 0.0010\n","Epoch 5/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9401 - loss: 0.1743\n","Epoch 5: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9406 - loss: 0.1739 - val_accuracy: 0.7192 - val_loss: 0.5474 - learning_rate: 0.0010\n","Epoch 6/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 79ms/step - accuracy: 0.9799 - loss: 0.1131\n","Epoch 6: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n","\n","Epoch 6: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.9796 - loss: 0.1127 - val_accuracy: 0.7603 - val_loss: 0.5195 - learning_rate: 0.0010\n","Epoch 7/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 79ms/step - accuracy: 0.9915 - loss: 0.0713\n","Epoch 7: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9916 - loss: 0.0714 - val_accuracy: 0.7397 - val_loss: 0.5306 - learning_rate: 1.0000e-04\n","Epoch 8/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9989 - loss: 0.0649\n","Epoch 8: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9988 - loss: 0.0650 - val_accuracy: 0.7260 - val_loss: 0.5323 - learning_rate: 1.0000e-04\n","Epoch 9/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9971 - loss: 0.0612\n","Epoch 9: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9971 - loss: 0.0614 - val_accuracy: 0.7329 - val_loss: 0.5408 - learning_rate: 1.0000e-04\n","Epoch 10/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9985 - loss: 0.0593\n","Epoch 10: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 0.9984 - loss: 0.0594 - val_accuracy: 0.7329 - val_loss: 0.5372 - learning_rate: 1.0000e-04\n","Epoch 11/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9980 - loss: 0.0547\n","Epoch 11: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n","\n","Epoch 11: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9979 - loss: 0.0550 - val_accuracy: 0.7329 - val_loss: 0.5424 - learning_rate: 1.0000e-04\n","Epoch 12/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9973 - loss: 0.0552\n","Epoch 12: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9974 - loss: 0.0552 - val_accuracy: 0.7260 - val_loss: 0.5414 - learning_rate: 1.0000e-05\n","Epoch 13/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9984 - loss: 0.0527\n","Epoch 13: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.9984 - loss: 0.0529 - val_accuracy: 0.7329 - val_loss: 0.5408 - learning_rate: 1.0000e-05\n","Epoch 14/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9993 - loss: 0.0547\n","Epoch 14: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 0.9992 - loss: 0.0546 - val_accuracy: 0.7329 - val_loss: 0.5408 - learning_rate: 1.0000e-05\n","Epoch 15/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 1.0000 - loss: 0.0529\n","Epoch 15: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 1.0000 - loss: 0.0530 - val_accuracy: 0.7329 - val_loss: 0.5414 - learning_rate: 1.0000e-05\n","Epoch 16/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 77ms/step - accuracy: 0.9989 - loss: 0.0586\n","Epoch 16: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n","\n","Epoch 16: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 0.9989 - loss: 0.0582 - val_accuracy: 0.7260 - val_loss: 0.5430 - learning_rate: 1.0000e-05\n","Epoch 17/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9997 - loss: 0.0550\n","Epoch 17: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 0.9996 - loss: 0.0548 - val_accuracy: 0.7260 - val_loss: 0.5429 - learning_rate: 1.0000e-06\n","Epoch 18/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 0.9996 - loss: 0.0531\n","Epoch 18: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 0.9995 - loss: 0.0531 - val_accuracy: 0.7260 - val_loss: 0.5427 - learning_rate: 1.0000e-06\n","Epoch 19/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 77ms/step - accuracy: 1.0000 - loss: 0.0533\n","Epoch 19: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 1.0000 - loss: 0.0533 - val_accuracy: 0.7260 - val_loss: 0.5427 - learning_rate: 1.0000e-06\n","Epoch 20/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 78ms/step - accuracy: 1.0000 - loss: 0.0519\n","Epoch 20: val_accuracy did not improve from 0.76027\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 93ms/step - accuracy: 1.0000 - loss: 0.0520 - val_accuracy: 0.7329 - val_loss: 0.5425 - learning_rate: 1.0000e-06\n"]}],"source":["model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n","history = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=32,callbacks=[reduce_lr,model_checkpoint])"]},{"cell_type":"code","execution_count":47,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:04:35.890426Z","iopub.status.busy":"2024-05-30T13:04:35.890118Z","iopub.status.idle":"2024-05-30T13:04:36.157511Z","shell.execute_reply":"2024-05-30T13:04:36.156608Z","shell.execute_reply.started":"2024-05-30T13:04:35.890401Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Loss per epoch\")\n","plt.show()"]},{"cell_type":"code","execution_count":48,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:04:36.159251Z","iopub.status.busy":"2024-05-30T13:04:36.158858Z","iopub.status.idle":"2024-05-30T13:04:36.435687Z","shell.execute_reply":"2024-05-30T13:04:36.434791Z","shell.execute_reply.started":"2024-05-30T13:04:36.159215Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy per epoch\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{},"source":["### Inception"]},{"cell_type":"code","execution_count":53,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:05:58.926751Z","iopub.status.busy":"2024-05-30T13:05:58.926431Z","iopub.status.idle":"2024-05-30T13:06:01.935375Z","shell.execute_reply":"2024-05-30T13:06:01.934448Z","shell.execute_reply.started":"2024-05-30T13:05:58.926704Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/inception_v3/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5\n","\u001b[1m87910968/87910968\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 0us/step\n"]},{"data":{"text/html":["
Model: \"functional_122\"\n","
\n"],"text/plain":["\u001b[1mModel: \"functional_122\"\u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_11      │ (None, 224, 224,  │          0 │ -                 │\n","│ (InputLayer)        │ 3)                │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_233 (Conv2D) │ (None, 111, 111,  │        864 │ input_layer_11[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 111, 111,  │         96 │ conv2d_233[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_203      │ (None, 111, 111,  │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_234 (Conv2D) │ (None, 109, 109,  │      9,216 │ activation_203[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 109, 109,  │         96 │ conv2d_234[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_204      │ (None, 109, 109,  │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_235 (Conv2D) │ (None, 109, 109,  │     18,432 │ activation_204[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 109, 109,  │        192 │ conv2d_235[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_205      │ (None, 109, 109,  │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_28    │ (None, 54, 54,    │          0 │ activation_205[0… │\n","│ (MaxPooling2D)      │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_236 (Conv2D) │ (None, 54, 54,    │      5,120 │ max_pooling2d_28… │\n","│                     │ 80)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 54, 54,    │        240 │ conv2d_236[0][0]  │\n","│ (BatchNormalizatio… │ 80)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_206      │ (None, 54, 54,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 80)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_237 (Conv2D) │ (None, 52, 52,    │    138,240 │ activation_206[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 52, 52,    │        576 │ conv2d_237[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_207      │ (None, 52, 52,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_29    │ (None, 25, 25,    │          0 │ activation_207[0… │\n","│ (MaxPooling2D)      │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_241 (Conv2D) │ (None, 25, 25,    │     12,288 │ max_pooling2d_29… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_241[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_211      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_239 (Conv2D) │ (None, 25, 25,    │      9,216 │ max_pooling2d_29… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_242 (Conv2D) │ (None, 25, 25,    │     55,296 │ activation_211[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_239[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_242[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_209      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_212      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_1 │ (None, 25, 25,    │          0 │ max_pooling2d_29… │\n","│ (AveragePooling2D)  │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_238 (Conv2D) │ (None, 25, 25,    │     12,288 │ max_pooling2d_29… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_240 (Conv2D) │ (None, 25, 25,    │     76,800 │ activation_209[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_243 (Conv2D) │ (None, 25, 25,    │     82,944 │ activation_212[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_244 (Conv2D) │ (None, 25, 25,    │      6,144 │ average_pooling2… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_238[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_240[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_243[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_244[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_208      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_210      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_213      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_214      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed0              │ (None, 25, 25,    │          0 │ activation_208[0… │\n","│ (Concatenate)       │ 256)              │            │ activation_210[0… │\n","│                     │                   │            │ activation_213[0… │\n","│                     │                   │            │ activation_214[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_248 (Conv2D) │ (None, 25, 25,    │     16,384 │ mixed0[0][0]      │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_248[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_218      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_246 (Conv2D) │ (None, 25, 25,    │     12,288 │ mixed0[0][0]      │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_249 (Conv2D) │ (None, 25, 25,    │     55,296 │ activation_218[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_246[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_249[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_216      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_219      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_2 │ (None, 25, 25,    │          0 │ mixed0[0][0]      │\n","│ (AveragePooling2D)  │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_245 (Conv2D) │ (None, 25, 25,    │     16,384 │ mixed0[0][0]      │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_247 (Conv2D) │ (None, 25, 25,    │     76,800 │ activation_216[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_250 (Conv2D) │ (None, 25, 25,    │     82,944 │ activation_219[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_251 (Conv2D) │ (None, 25, 25,    │     16,384 │ average_pooling2… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_245[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_247[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_250[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_251[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_215      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_217      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_220      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_221      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed1              │ (None, 25, 25,    │          0 │ activation_215[0… │\n","│ (Concatenate)       │ 288)              │            │ activation_217[0… │\n","│                     │                   │            │ activation_220[0… │\n","│                     │                   │            │ activation_221[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_255 (Conv2D) │ (None, 25, 25,    │     18,432 │ mixed1[0][0]      │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_255[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_225      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_253 (Conv2D) │ (None, 25, 25,    │     13,824 │ mixed1[0][0]      │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_256 (Conv2D) │ (None, 25, 25,    │     55,296 │ activation_225[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_253[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_256[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_223      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_226      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_3 │ (None, 25, 25,    │          0 │ mixed1[0][0]      │\n","│ (AveragePooling2D)  │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_252 (Conv2D) │ (None, 25, 25,    │     18,432 │ mixed1[0][0]      │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_254 (Conv2D) │ (None, 25, 25,    │     76,800 │ activation_223[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_257 (Conv2D) │ (None, 25, 25,    │     82,944 │ activation_226[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_258 (Conv2D) │ (None, 25, 25,    │     18,432 │ average_pooling2… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_252[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_254[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_257[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_258[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_222      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_224      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_227      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_228      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed2              │ (None, 25, 25,    │          0 │ activation_222[0… │\n","│ (Concatenate)       │ 288)              │            │ activation_224[0… │\n","│                     │                   │            │ activation_227[0… │\n","│                     │                   │            │ activation_228[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_260 (Conv2D) │ (None, 25, 25,    │     18,432 │ mixed2[0][0]      │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_260[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_230      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_261 (Conv2D) │ (None, 25, 25,    │     55,296 │ activation_230[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_261[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_231      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_259 (Conv2D) │ (None, 12, 12,    │    995,328 │ mixed2[0][0]      │\n","│                     │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_262 (Conv2D) │ (None, 12, 12,    │     82,944 │ activation_231[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │      1,152 │ conv2d_259[0][0]  │\n","│ (BatchNormalizatio… │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        288 │ conv2d_262[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_229      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_232      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_30    │ (None, 12, 12,    │          0 │ mixed2[0][0]      │\n","│ (MaxPooling2D)      │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed3              │ (None, 12, 12,    │          0 │ activation_229[0… │\n","│ (Concatenate)       │ 768)              │            │ activation_232[0… │\n","│                     │                   │            │ max_pooling2d_30… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_267 (Conv2D) │ (None, 12, 12,    │     98,304 │ mixed3[0][0]      │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_267[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_237      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_268 (Conv2D) │ (None, 12, 12,    │    114,688 │ activation_237[0… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_268[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_238      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_264 (Conv2D) │ (None, 12, 12,    │     98,304 │ mixed3[0][0]      │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_269 (Conv2D) │ (None, 12, 12,    │    114,688 │ activation_238[0… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_264[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_269[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_234      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_239      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_265 (Conv2D) │ (None, 12, 12,    │    114,688 │ activation_234[0… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_270 (Conv2D) │ (None, 12, 12,    │    114,688 │ activation_239[0… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_265[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_270[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_235      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_240      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_4 │ (None, 12, 12,    │          0 │ mixed3[0][0]      │\n","│ (AveragePooling2D)  │ 768)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_263 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed3[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_266 (Conv2D) │ (None, 12, 12,    │    172,032 │ activation_235[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_271 (Conv2D) │ (None, 12, 12,    │    172,032 │ activation_240[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_272 (Conv2D) │ (None, 12, 12,    │    147,456 │ average_pooling2… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_263[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_266[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_271[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_272[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_233      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_236      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_241      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_242      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed4              │ (None, 12, 12,    │          0 │ activation_233[0… │\n","│ (Concatenate)       │ 768)              │            │ activation_236[0… │\n","│                     │                   │            │ activation_241[0… │\n","│                     │                   │            │ activation_242[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_277 (Conv2D) │ (None, 12, 12,    │    122,880 │ mixed4[0][0]      │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_277[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_247      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_278 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_247[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_278[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_248      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_274 (Conv2D) │ (None, 12, 12,    │    122,880 │ mixed4[0][0]      │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_279 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_248[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_274[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_279[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_244      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_249      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_275 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_244[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_280 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_249[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_275[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_280[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_245      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_250      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_5 │ (None, 12, 12,    │          0 │ mixed4[0][0]      │\n","│ (AveragePooling2D)  │ 768)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_273 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed4[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_276 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_245[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_281 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_250[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_282 (Conv2D) │ (None, 12, 12,    │    147,456 │ average_pooling2… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_273[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_276[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_281[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_282[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_243      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_246      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_251      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_252      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed5              │ (None, 12, 12,    │          0 │ activation_243[0… │\n","│ (Concatenate)       │ 768)              │            │ activation_246[0… │\n","│                     │                   │            │ activation_251[0… │\n","│                     │                   │            │ activation_252[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_287 (Conv2D) │ (None, 12, 12,    │    122,880 │ mixed5[0][0]      │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_287[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_257      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_288 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_257[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_288[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_258      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_284 (Conv2D) │ (None, 12, 12,    │    122,880 │ mixed5[0][0]      │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_289 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_258[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_284[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_289[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_254      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_259      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_285 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_254[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_290 (Conv2D) │ (None, 12, 12,    │    179,200 │ activation_259[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_285[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_290[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_255      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_260      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_6 │ (None, 12, 12,    │          0 │ mixed5[0][0]      │\n","│ (AveragePooling2D)  │ 768)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_283 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed5[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_286 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_255[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_291 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_260[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_292 (Conv2D) │ (None, 12, 12,    │    147,456 │ average_pooling2… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_283[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_286[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_291[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_292[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_253      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_256      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_261      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_262      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed6              │ (None, 12, 12,    │          0 │ activation_253[0… │\n","│ (Concatenate)       │ 768)              │            │ activation_256[0… │\n","│                     │                   │            │ activation_261[0… │\n","│                     │                   │            │ activation_262[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_297 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed6[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_297[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_267      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_298 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_267[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_298[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_268      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_294 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed6[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_299 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_268[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_294[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_299[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_264      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_269      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_295 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_264[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_300 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_269[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_295[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_300[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_265      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_270      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_7 │ (None, 12, 12,    │          0 │ mixed6[0][0]      │\n","│ (AveragePooling2D)  │ 768)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_293 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed6[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_296 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_265[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_301 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_270[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_302 (Conv2D) │ (None, 12, 12,    │    147,456 │ average_pooling2… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_293[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_296[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_301[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_302[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_263      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_266      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_271      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_272      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed7              │ (None, 12, 12,    │          0 │ activation_263[0… │\n","│ (Concatenate)       │ 768)              │            │ activation_266[0… │\n","│                     │                   │            │ activation_271[0… │\n","│                     │                   │            │ activation_272[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_305 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed7[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_305[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_275      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_306 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_275[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_306[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_276      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_303 (Conv2D) │ (None, 12, 12,    │    147,456 │ mixed7[0][0]      │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_307 (Conv2D) │ (None, 12, 12,    │    258,048 │ activation_276[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_303[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_307[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_273      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_277      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_304 (Conv2D) │ (None, 5, 5, 320) │    552,960 │ activation_273[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_308 (Conv2D) │ (None, 5, 5, 192) │    331,776 │ activation_277[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 320) │        960 │ conv2d_304[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_308[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_274      │ (None, 5, 5, 320) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_278      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_31    │ (None, 5, 5, 768) │          0 │ mixed7[0][0]      │\n","│ (MaxPooling2D)      │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed8              │ (None, 5, 5,      │          0 │ activation_274[0… │\n","│ (Concatenate)       │ 1280)             │            │ activation_278[0… │\n","│                     │                   │            │ max_pooling2d_31… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_313 (Conv2D) │ (None, 5, 5, 448) │    573,440 │ mixed8[0][0]      │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 448) │      1,344 │ conv2d_313[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_283      │ (None, 5, 5, 448) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_310 (Conv2D) │ (None, 5, 5, 384) │    491,520 │ mixed8[0][0]      │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_314 (Conv2D) │ (None, 5, 5, 384) │  1,548,288 │ activation_283[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_310[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_314[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_280      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_284      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_311 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_280[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_312 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_280[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_315 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_284[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_316 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_284[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_8 │ (None, 5, 5,      │          0 │ mixed8[0][0]      │\n","│ (AveragePooling2D)  │ 1280)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_309 (Conv2D) │ (None, 5, 5, 320) │    409,600 │ mixed8[0][0]      │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_311[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_312[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_315[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_316[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_317 (Conv2D) │ (None, 5, 5, 192) │    245,760 │ average_pooling2… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 320) │        960 │ conv2d_309[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_281      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_282      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_285      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_286      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_317[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_279      │ (None, 5, 5, 320) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed9_0            │ (None, 5, 5, 768) │          0 │ activation_281[0… │\n","│ (Concatenate)       │                   │            │ activation_282[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ concatenate         │ (None, 5, 5, 768) │          0 │ activation_285[0… │\n","│ (Concatenate)       │                   │            │ activation_286[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_287      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed9              │ (None, 5, 5,      │          0 │ activation_279[0… │\n","│ (Concatenate)       │ 2048)             │            │ mixed9_0[0][0],   │\n","│                     │                   │            │ concatenate[0][0… │\n","│                     │                   │            │ activation_287[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_322 (Conv2D) │ (None, 5, 5, 448) │    917,504 │ mixed9[0][0]      │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 448) │      1,344 │ conv2d_322[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_292      │ (None, 5, 5, 448) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_319 (Conv2D) │ (None, 5, 5, 384) │    786,432 │ mixed9[0][0]      │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_323 (Conv2D) │ (None, 5, 5, 384) │  1,548,288 │ activation_292[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_319[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_323[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_289      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_293      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_320 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_289[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_321 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_289[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_324 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_293[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_325 (Conv2D) │ (None, 5, 5, 384) │    442,368 │ activation_293[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_9 │ (None, 5, 5,      │          0 │ mixed9[0][0]      │\n","│ (AveragePooling2D)  │ 2048)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_318 (Conv2D) │ (None, 5, 5, 320) │    655,360 │ mixed9[0][0]      │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_320[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_321[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_324[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_325[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_326 (Conv2D) │ (None, 5, 5, 192) │    393,216 │ average_pooling2… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 320) │        960 │ conv2d_318[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_290      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_291      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_294      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_295      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_326[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_288      │ (None, 5, 5, 320) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed9_1            │ (None, 5, 5, 768) │          0 │ activation_290[0… │\n","│ (Concatenate)       │                   │            │ activation_291[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ concatenate_1       │ (None, 5, 5, 768) │          0 │ activation_294[0… │\n","│ (Concatenate)       │                   │            │ activation_295[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_296      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed10             │ (None, 5, 5,      │          0 │ activation_288[0… │\n","│ (Concatenate)       │ 2048)             │            │ mixed9_1[0][0],   │\n","│                     │                   │            │ concatenate_1[0]… │\n","│                     │                   │            │ activation_296[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (None, 2048)      │          0 │ mixed10[0][0]     │\n","│ (GlobalAveragePool… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_37 (Dense)    │ (None, 1024)      │  2,098,176 │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_38 (Dense)    │ (None, 1)         │      1,025 │ dense_37[0][0]    │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","
\n"],"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n","│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_233 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ input_layer_11[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_233[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_203 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_234 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_203[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_234[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_204 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_235 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ activation_204[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_235[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_205 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_28 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_205[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_236 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m5,120\u001b[0m │ max_pooling2d_28… │\n","│ │ \u001b[38;5;34m80\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m240\u001b[0m │ conv2d_236[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m80\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_206 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m80\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_237 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, │ \u001b[38;5;34m138,240\u001b[0m │ activation_206[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_237[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_207 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_29 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_207[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_241 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_29… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_241[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_211 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_239 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ max_pooling2d_29… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_242 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_211[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_239[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_242[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_209 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_212 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ max_pooling2d_29… │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_238 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_29… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_240 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_209[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_243 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_212[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_244 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m6,144\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_238[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_240[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_243[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_244[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_208 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_210 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_213 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_214 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_208[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ activation_210[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_213[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_214[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_248 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_248[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_218 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_246 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_249 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_218[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_246[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_249[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_216 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_219 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_245 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ mixed0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_247 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_216[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_250 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_219[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_251 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_245[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_247[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_250[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_251[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_215 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_217 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_220 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_221 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_215[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ activation_217[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_220[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_221[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_255 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_255[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_225 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_253 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_256 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_225[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_253[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_256[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_223 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_226 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_252 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ mixed1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_254 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_223[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_257 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_226[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_258 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_252[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_254[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_257[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_258[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_222 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_224 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_227 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_228 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_222[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ activation_224[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_227[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_228[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_260 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_260[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_230 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_261 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_230[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_261[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_231 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_259 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m995,328\u001b[0m │ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_262 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_231[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_259[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_262[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_229 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_232 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_30 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_229[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_232[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ max_pooling2d_30… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_267 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m98,304\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_267[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_237 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_268 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_237[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_268[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_238 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_264 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m98,304\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_269 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_238[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_264[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_269[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_234 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_239 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_265 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_234[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_270 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_239[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_265[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_270[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_235 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_240 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_263 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_266 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m172,032\u001b[0m │ activation_235[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_271 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m172,032\u001b[0m │ activation_240[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_272 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_263[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_266[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_271[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_272[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_233 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_236 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_241 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_242 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_233[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_236[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_241[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_242[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_277 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m122,880\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_277[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_247 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_278 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_247[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_278[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_248 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_274 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m122,880\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_279 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_248[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_274[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_279[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_244 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_249 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_275 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_244[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_280 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_249[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_275[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_280[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_245 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_250 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_273 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_276 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_245[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_281 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_250[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_282 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_273[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_276[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_281[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_282[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_243 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_246 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_251 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_252 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_243[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_246[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_251[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_252[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_287 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m122,880\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_287[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_257 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_288 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_257[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_288[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_258 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_284 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m122,880\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_289 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_258[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_284[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_289[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_254 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_259 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_285 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_254[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_290 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_259[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_285[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_290[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_255 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_260 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_283 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_286 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_255[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_291 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_260[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_292 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_283[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_286[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_291[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_292[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_253 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_256 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_261 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_262 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_253[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_256[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_261[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_262[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_297 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_297[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_267 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_298 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_267[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_298[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_268 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_294 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_299 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_268[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_294[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_299[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_264 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_269 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_295 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_264[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_300 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_269[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_295[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_300[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_265 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_270 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_293 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_296 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_265[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_301 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_270[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_302 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_293[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_296[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_301[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_302[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_263 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_266 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_271 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_272 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_263[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_266[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_271[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_272[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_305 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_305[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_275 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_306 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_275[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_306[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_276 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_303 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_307 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_276[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_303[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_307[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_273 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_277 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_304 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m552,960\u001b[0m │ activation_273[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_308 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m331,776\u001b[0m │ activation_277[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_304[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_308[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_274 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_278 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_31 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ mixed7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_274[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ activation_278[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ max_pooling2d_31… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_313 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m573,440\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m1,344\u001b[0m │ conv2d_313[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_283 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_310 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m491,520\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_314 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,548,288\u001b[0m │ activation_283[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_310[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_314[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_280 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_284 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_311 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_280[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_312 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_280[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_315 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_284[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_316 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_284[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_309 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m409,600\u001b[0m │ mixed8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_311[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_312[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_315[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_316[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_317 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m245,760\u001b[0m │ average_pooling2… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_309[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_281 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_282 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_285 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_286 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_317[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_279 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed9_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_281[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_282[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ concatenate │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_285[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_286[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_287 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_279[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m2048\u001b[0m) │ │ mixed9_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ │ │ │ concatenate[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_287[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_322 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m917,504\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m1,344\u001b[0m │ conv2d_322[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_292 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_319 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_323 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,548,288\u001b[0m │ activation_292[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_319[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_323[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_289 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_293 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_320 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_289[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_321 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_289[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_324 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_293[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_325 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_293[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m2048\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_318 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m655,360\u001b[0m │ mixed9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_320[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_321[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_324[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_325[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_326 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m393,216\u001b[0m │ average_pooling2… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_318[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_290 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_291 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_294 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_295 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_326[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_288 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed9_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_290[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_291[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ concatenate_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_294[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_295[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_296 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_288[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m2048\u001b[0m) │ │ mixed9_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ │ │ │ concatenate_1[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ │ │ activation_296[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ mixed10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_37 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m2,098,176\u001b[0m │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_38 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m1,025\u001b[0m │ dense_37[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Total params: 23,901,985 (91.18 MB)\n","
\n"],"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m23,901,985\u001b[0m (91.18 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Trainable params: 2,099,201 (8.01 MB)\n","
\n"],"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,099,201\u001b[0m (8.01 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Non-trainable params: 21,802,784 (83.17 MB)\n","
\n"],"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m21,802,784\u001b[0m (83.17 MB)\n"]},"metadata":{},"output_type":"display_data"}],"source":["from tensorflow.keras.applications import InceptionV3\n","from tensorflow.keras.layers import Dense, Flatten, Dropout\n","from tensorflow.keras.models import Model\n","\n","# Load the InceptionV3 model and create the feature extractor\n","inception_model = InceptionV3(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n","feature_extractor = Model(inputs=inception_model.input, outputs=inception_model.get_layer('mixed10').output)\n","\n","# Freeze the convolutional base layers\n","for layer in feature_extractor.layers:\n"," layer.trainable = False\n","\n","# Add custom dense layers on top\n","x = feature_extractor.output\n","x = GlobalAveragePooling2D()(x)\n","x = Dense(1024, activation='relu')(x)\n","output = Dense(1, activation='sigmoid')(x)\n","\n","# Create the final model\n","model = Model(inputs=feature_extractor.input, outputs=output)\n","\n","# Print the model summary\n","model.summary()"]},{"cell_type":"code","execution_count":54,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:06:01.937088Z","iopub.status.busy":"2024-05-30T13:06:01.936749Z","iopub.status.idle":"2024-05-30T13:07:30.530188Z","shell.execute_reply":"2024-05-30T13:07:30.529099Z","shell.execute_reply.started":"2024-05-30T13:06:01.937059Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/20\n","\u001b[1m 2/22\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 87ms/step - accuracy: 0.6094 - loss: 1.4060 "]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074384.892579 1773 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 538ms/step - accuracy: 0.5671 - loss: 1.7147"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074396.246876 1770 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","W0000 00:00:1717074402.269249 1772 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\n","Epoch 1: val_accuracy improved from 0.60959 to 0.73973, saving model to att_model.keras\n"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074413.691523 1772 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m52s\u001b[0m 1s/step - accuracy: 0.5669 - loss: 1.7003 - val_accuracy: 0.7397 - val_loss: 0.5489 - learning_rate: 0.0010\n","Epoch 2/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 68ms/step - accuracy: 0.7353 - loss: 0.5209\n","Epoch 2: val_accuracy did not improve from 0.73973\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 81ms/step - accuracy: 0.7363 - loss: 0.5207 - val_accuracy: 0.6986 - val_loss: 0.5436 - learning_rate: 0.0010\n","Epoch 3/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 66ms/step - accuracy: 0.8250 - loss: 0.4400\n","Epoch 3: val_accuracy improved from 0.73973 to 0.75342, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 127ms/step - accuracy: 0.8258 - loss: 0.4382 - val_accuracy: 0.7534 - val_loss: 0.4765 - learning_rate: 0.0010\n","Epoch 4/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 66ms/step - accuracy: 0.8199 - loss: 0.3916\n","Epoch 4: val_accuracy improved from 0.75342 to 0.76712, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 122ms/step - accuracy: 0.8210 - loss: 0.3903 - val_accuracy: 0.7671 - val_loss: 0.4543 - learning_rate: 0.0010\n","Epoch 5/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.8791 - loss: 0.3134\n","Epoch 5: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 79ms/step - accuracy: 0.8792 - loss: 0.3127 - val_accuracy: 0.7671 - val_loss: 0.4951 - learning_rate: 0.0010\n","Epoch 6/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 66ms/step - accuracy: 0.9124 - loss: 0.2378\n","Epoch 6: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 79ms/step - accuracy: 0.9120 - loss: 0.2379 - val_accuracy: 0.7534 - val_loss: 0.4889 - learning_rate: 0.0010\n","Epoch 7/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9404 - loss: 0.1920\n","Epoch 7: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9404 - loss: 0.1923 - val_accuracy: 0.7603 - val_loss: 0.5214 - learning_rate: 0.0010\n","Epoch 8/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9727 - loss: 0.1420\n","Epoch 8: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 79ms/step - accuracy: 0.9725 - loss: 0.1423 - val_accuracy: 0.7192 - val_loss: 0.5599 - learning_rate: 0.0010\n","Epoch 9/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9715 - loss: 0.1230\n","Epoch 9: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n","\n","Epoch 9: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9721 - loss: 0.1224 - val_accuracy: 0.7534 - val_loss: 0.6464 - learning_rate: 0.0010\n","Epoch 10/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 64ms/step - accuracy: 0.9877 - loss: 0.0820\n","Epoch 10: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9880 - loss: 0.0815 - val_accuracy: 0.7466 - val_loss: 0.6067 - learning_rate: 1.0000e-04\n","Epoch 11/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9989 - loss: 0.0652\n","Epoch 11: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 78ms/step - accuracy: 0.9989 - loss: 0.0656 - val_accuracy: 0.7397 - val_loss: 0.6098 - learning_rate: 1.0000e-04\n","Epoch 12/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9981 - loss: 0.0678\n","Epoch 12: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9980 - loss: 0.0676 - val_accuracy: 0.7534 - val_loss: 0.6153 - learning_rate: 1.0000e-04\n","Epoch 13/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9991 - loss: 0.0560\n","Epoch 13: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9990 - loss: 0.0565 - val_accuracy: 0.7466 - val_loss: 0.6181 - learning_rate: 1.0000e-04\n","Epoch 14/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9991 - loss: 0.0585\n","Epoch 14: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n","\n","Epoch 14: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9990 - loss: 0.0587 - val_accuracy: 0.7534 - val_loss: 0.6250 - learning_rate: 1.0000e-04\n","Epoch 15/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9997 - loss: 0.0547\n","Epoch 15: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9996 - loss: 0.0550 - val_accuracy: 0.7534 - val_loss: 0.6249 - learning_rate: 1.0000e-05\n","Epoch 16/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9988 - loss: 0.0587\n","Epoch 16: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 79ms/step - accuracy: 0.9988 - loss: 0.0586 - val_accuracy: 0.7534 - val_loss: 0.6243 - learning_rate: 1.0000e-05\n","Epoch 17/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 66ms/step - accuracy: 0.9986 - loss: 0.0551\n","Epoch 17: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 79ms/step - accuracy: 0.9986 - loss: 0.0553 - val_accuracy: 0.7466 - val_loss: 0.6253 - learning_rate: 1.0000e-05\n","Epoch 18/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9992 - loss: 0.0603\n","Epoch 18: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9991 - loss: 0.0600 - val_accuracy: 0.7534 - val_loss: 0.6251 - learning_rate: 1.0000e-05\n","Epoch 19/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 64ms/step - accuracy: 0.9996 - loss: 0.0563\n","Epoch 19: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n","\n","Epoch 19: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 77ms/step - accuracy: 0.9995 - loss: 0.0563 - val_accuracy: 0.7466 - val_loss: 0.6263 - learning_rate: 1.0000e-05\n","Epoch 20/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 65ms/step - accuracy: 0.9991 - loss: 0.0533\n","Epoch 20: val_accuracy did not improve from 0.76712\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 78ms/step - accuracy: 0.9990 - loss: 0.0535 - val_accuracy: 0.7466 - val_loss: 0.6263 - learning_rate: 1.0000e-06\n"]}],"source":["model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n","history = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=32,callbacks=[reduce_lr,model_checkpoint])"]},{"cell_type":"code","execution_count":55,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:07:30.532316Z","iopub.status.busy":"2024-05-30T13:07:30.532014Z","iopub.status.idle":"2024-05-30T13:07:30.829278Z","shell.execute_reply":"2024-05-30T13:07:30.828318Z","shell.execute_reply.started":"2024-05-30T13:07:30.532290Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Loss per epoch\")\n","plt.show()"]},{"cell_type":"code","execution_count":56,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:07:30.830919Z","iopub.status.busy":"2024-05-30T13:07:30.830547Z","iopub.status.idle":"2024-05-30T13:07:31.094436Z","shell.execute_reply":"2024-05-30T13:07:31.093496Z","shell.execute_reply.started":"2024-05-30T13:07:30.830884Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy per epoch\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{},"source":["### Inception-ResNet-V2"]},{"cell_type":"code","execution_count":57,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:07:31.095830Z","iopub.status.busy":"2024-05-30T13:07:31.095564Z","iopub.status.idle":"2024-05-30T13:07:37.902008Z","shell.execute_reply":"2024-05-30T13:07:37.900979Z","shell.execute_reply.started":"2024-05-30T13:07:31.095806Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Model: \"functional_126\"\n","
\n"],"text/plain":["\u001b[1mModel: \"functional_126\"\u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_12      │ (None, 224, 224,  │          0 │ -                 │\n","│ (InputLayer)        │ 3)                │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_327 (Conv2D) │ (None, 111, 111,  │        864 │ input_layer_12[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 111, 111,  │         96 │ conv2d_327[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_297      │ (None, 111, 111,  │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_328 (Conv2D) │ (None, 109, 109,  │      9,216 │ activation_297[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 109, 109,  │         96 │ conv2d_328[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_298      │ (None, 109, 109,  │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_329 (Conv2D) │ (None, 109, 109,  │     18,432 │ activation_298[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 109, 109,  │        192 │ conv2d_329[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_299      │ (None, 109, 109,  │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_32    │ (None, 54, 54,    │          0 │ activation_299[0… │\n","│ (MaxPooling2D)      │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_330 (Conv2D) │ (None, 54, 54,    │      5,120 │ max_pooling2d_32… │\n","│                     │ 80)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 54, 54,    │        240 │ conv2d_330[0][0]  │\n","│ (BatchNormalizatio… │ 80)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_300      │ (None, 54, 54,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 80)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_331 (Conv2D) │ (None, 52, 52,    │    138,240 │ activation_300[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 52, 52,    │        576 │ conv2d_331[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_301      │ (None, 52, 52,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_33    │ (None, 25, 25,    │          0 │ activation_301[0… │\n","│ (MaxPooling2D)      │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_335 (Conv2D) │ (None, 25, 25,    │     12,288 │ max_pooling2d_33… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_335[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_305      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_333 (Conv2D) │ (None, 25, 25,    │      9,216 │ max_pooling2d_33… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_336 (Conv2D) │ (None, 25, 25,    │     55,296 │ activation_305[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_333[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_336[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_303      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_306      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_… │ (None, 25, 25,    │          0 │ max_pooling2d_33… │\n","│ (AveragePooling2D)  │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_332 (Conv2D) │ (None, 25, 25,    │     18,432 │ max_pooling2d_33… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_334 (Conv2D) │ (None, 25, 25,    │     76,800 │ activation_303[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_337 (Conv2D) │ (None, 25, 25,    │     82,944 │ activation_306[0… │\n","│                     │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_338 (Conv2D) │ (None, 25, 25,    │     12,288 │ average_pooling2… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_332[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_334[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        288 │ conv2d_337[0][0]  │\n","│ (BatchNormalizatio… │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_338[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_302      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_304      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_307      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 96)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_308      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed_5b            │ (None, 25, 25,    │          0 │ activation_302[0… │\n","│ (Concatenate)       │ 320)              │            │ activation_304[0… │\n","│                     │                   │            │ activation_307[0… │\n","│                     │                   │            │ activation_308[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_342 (Conv2D) │ (None, 25, 25,    │     10,240 │ mixed_5b[0][0]    │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_342[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_312      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_340 (Conv2D) │ (None, 25, 25,    │     10,240 │ mixed_5b[0][0]    │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_343 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_312[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_340[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_343[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_310      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_313      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_339 (Conv2D) │ (None, 25, 25,    │     10,240 │ mixed_5b[0][0]    │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_341 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_310[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_344 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_313[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_339[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_341[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_344[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_309      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_311      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_314      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_1_mixed     │ (None, 25, 25,    │          0 │ activation_309[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_311[0… │\n","│                     │                   │            │ activation_314[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_1_conv      │ (None, 25, 25,    │     41,280 │ block35_1_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ mixed_5b[0][0],   │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_1_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_1_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_348 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_1_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_348[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_318      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_346 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_1_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_349 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_318[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_346[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_349[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_316      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_319      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_345 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_1_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_347 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_316[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_350 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_319[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_345[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_347[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_350[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_315      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_317      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_320      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_2_mixed     │ (None, 25, 25,    │          0 │ activation_315[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_317[0… │\n","│                     │                   │            │ activation_320[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_2_conv      │ (None, 25, 25,    │     41,280 │ block35_2_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_1_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_2_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_2_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_354 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_2_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_354[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_324      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_352 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_2_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_355 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_324[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_352[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_355[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_322      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_325      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_351 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_2_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_353 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_322[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_356 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_325[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_351[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_353[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_356[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_321      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_323      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_326      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_3_mixed     │ (None, 25, 25,    │          0 │ activation_321[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_323[0… │\n","│                     │                   │            │ activation_326[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_3_conv      │ (None, 25, 25,    │     41,280 │ block35_3_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_2_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_3_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_3_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_360 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_3_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_360[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_330      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_358 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_3_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_361 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_330[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_358[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_361[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_328      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_331      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_357 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_3_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_359 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_328[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_362 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_331[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_357[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_359[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_362[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_327      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_329      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_332      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_4_mixed     │ (None, 25, 25,    │          0 │ activation_327[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_329[0… │\n","│                     │                   │            │ activation_332[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_4_conv      │ (None, 25, 25,    │     41,280 │ block35_4_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_3_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_4_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_4_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_366 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_4_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_366[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_336      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_364 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_4_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_367 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_336[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_364[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_367[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_334      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_337      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_363 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_4_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_365 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_334[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_368 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_337[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_363[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_365[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_368[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_333      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_335      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_338      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_5_mixed     │ (None, 25, 25,    │          0 │ activation_333[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_335[0… │\n","│                     │                   │            │ activation_338[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_5_conv      │ (None, 25, 25,    │     41,280 │ block35_5_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_4_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_5_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_5_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_372 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_5_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_372[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_342      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_370 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_5_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_373 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_342[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_370[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_373[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_340      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_343      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_369 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_5_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_371 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_340[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_374 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_343[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_369[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_371[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_374[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_339      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_341      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_344      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_6_mixed     │ (None, 25, 25,    │          0 │ activation_339[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_341[0… │\n","│                     │                   │            │ activation_344[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_6_conv      │ (None, 25, 25,    │     41,280 │ block35_6_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_5_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_6_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_6_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_378 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_6_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_378[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_348      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_376 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_6_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_379 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_348[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_376[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_379[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_346      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_349      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_375 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_6_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_377 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_346[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_380 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_349[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_375[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_377[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_380[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_345      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_347      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_350      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_7_mixed     │ (None, 25, 25,    │          0 │ activation_345[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_347[0… │\n","│                     │                   │            │ activation_350[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_7_conv      │ (None, 25, 25,    │     41,280 │ block35_7_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_6_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_7_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_7_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_384 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_7_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_384[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_354      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_382 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_7_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_385 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_354[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_382[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_385[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_352      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_355      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_381 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_7_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_383 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_352[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_386 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_355[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_381[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_383[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_386[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_351      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_353      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_356      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_8_mixed     │ (None, 25, 25,    │          0 │ activation_351[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_353[0… │\n","│                     │                   │            │ activation_356[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_8_conv      │ (None, 25, 25,    │     41,280 │ block35_8_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_7_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_8_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_8_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_390 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_8_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_390[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_360      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_388 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_8_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_391 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_360[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_388[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_391[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_358      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_361      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_387 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_8_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_389 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_358[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_392 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_361[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_387[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_389[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_392[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_357      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_359      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_362      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_9_mixed     │ (None, 25, 25,    │          0 │ activation_357[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_359[0… │\n","│                     │                   │            │ activation_362[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_9_conv      │ (None, 25, 25,    │     41,280 │ block35_9_mixed[… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_8_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_9_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_9_ac        │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_396 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_9_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_396[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_366      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_394 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_9_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_397 (Conv2D) │ (None, 25, 25,    │     13,824 │ activation_366[0… │\n","│                     │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_394[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        144 │ conv2d_397[0][0]  │\n","│ (BatchNormalizatio… │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_364      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_367      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 48)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_393 (Conv2D) │ (None, 25, 25,    │     10,240 │ block35_9_ac[0][… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_395 (Conv2D) │ (None, 25, 25,    │      9,216 │ activation_364[0… │\n","│                     │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_398 (Conv2D) │ (None, 25, 25,    │     27,648 │ activation_367[0… │\n","│                     │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_393[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │         96 │ conv2d_395[0][0]  │\n","│ (BatchNormalizatio… │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        192 │ conv2d_398[0][0]  │\n","│ (BatchNormalizatio… │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_363      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_365      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 32)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_368      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 64)               │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_10_mixed    │ (None, 25, 25,    │          0 │ activation_363[0… │\n","│ (Concatenate)       │ 128)              │            │ activation_365[0… │\n","│                     │                   │            │ activation_368[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_10_conv     │ (None, 25, 25,    │     41,280 │ block35_10_mixed… │\n","│ (Conv2D)            │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 25, 25,    │          0 │ block35_9_ac[0][… │\n","│ (CustomScaleLayer)  │ 320)              │            │ block35_10_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_10_ac       │ (None, 25, 25,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_400 (Conv2D) │ (None, 25, 25,    │     81,920 │ block35_10_ac[0]… │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        768 │ conv2d_400[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_370      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_401 (Conv2D) │ (None, 25, 25,    │    589,824 │ activation_370[0… │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 25, 25,    │        768 │ conv2d_401[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_371      │ (None, 25, 25,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_399 (Conv2D) │ (None, 12, 12,    │  1,105,920 │ block35_10_ac[0]… │\n","│                     │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_402 (Conv2D) │ (None, 12, 12,    │    884,736 │ activation_371[0… │\n","│                     │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │      1,152 │ conv2d_399[0][0]  │\n","│ (BatchNormalizatio… │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │      1,152 │ conv2d_402[0][0]  │\n","│ (BatchNormalizatio… │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_369      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_372      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 384)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_34    │ (None, 12, 12,    │          0 │ block35_10_ac[0]… │\n","│ (MaxPooling2D)      │ 320)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed_6a            │ (None, 12, 12,    │          0 │ activation_369[0… │\n","│ (Concatenate)       │ 1088)             │            │ activation_372[0… │\n","│                     │                   │            │ max_pooling2d_34… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_404 (Conv2D) │ (None, 12, 12,    │    139,264 │ mixed_6a[0][0]    │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_404[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_374      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_405 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_374[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_405[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_375      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_403 (Conv2D) │ (None, 12, 12,    │    208,896 │ mixed_6a[0][0]    │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_406 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_375[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_403[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_406[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_373      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_376      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_1_mixed     │ (None, 12, 12,    │          0 │ activation_373[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_376[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_1_conv      │ (None, 12, 12,    │    418,880 │ block17_1_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ mixed_6a[0][0],   │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_1_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_1_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_408 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_1_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_408[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_378      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_409 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_378[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_409[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_379      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_407 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_1_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_410 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_379[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_407[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_410[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_377      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_380      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_2_mixed     │ (None, 12, 12,    │          0 │ activation_377[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_380[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_2_conv      │ (None, 12, 12,    │    418,880 │ block17_2_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_1_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_2_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_2_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_412 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_2_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_412[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_382      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_413 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_382[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_413[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_383      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_411 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_2_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_414 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_383[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_411[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_414[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_381      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_384      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_3_mixed     │ (None, 12, 12,    │          0 │ activation_381[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_384[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_3_conv      │ (None, 12, 12,    │    418,880 │ block17_3_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_2_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_3_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_3_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_416 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_3_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_416[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_386      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_417 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_386[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_417[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_387      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_415 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_3_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_418 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_387[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_415[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_418[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_385      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_388      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_4_mixed     │ (None, 12, 12,    │          0 │ activation_385[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_388[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_4_conv      │ (None, 12, 12,    │    418,880 │ block17_4_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_3_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_4_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_4_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_420 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_4_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_420[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_390      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_421 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_390[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_421[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_391      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_419 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_4_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_422 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_391[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_419[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_422[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_389      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_392      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_5_mixed     │ (None, 12, 12,    │          0 │ activation_389[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_392[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_5_conv      │ (None, 12, 12,    │    418,880 │ block17_5_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_4_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_5_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_5_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_424 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_5_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_424[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_394      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_425 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_394[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_425[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_395      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_423 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_5_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_426 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_395[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_423[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_426[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_393      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_396      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_6_mixed     │ (None, 12, 12,    │          0 │ activation_393[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_396[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_6_conv      │ (None, 12, 12,    │    418,880 │ block17_6_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_5_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_6_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_6_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_428 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_6_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_428[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_398      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_429 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_398[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_429[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_399      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_427 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_6_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_430 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_399[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_427[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_430[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_397      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_400      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_7_mixed     │ (None, 12, 12,    │          0 │ activation_397[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_400[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_7_conv      │ (None, 12, 12,    │    418,880 │ block17_7_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_6_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_7_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_7_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_432 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_7_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_432[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_402      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_433 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_402[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_433[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_403      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_431 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_7_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_434 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_403[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_431[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_434[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_401      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_404      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_8_mixed     │ (None, 12, 12,    │          0 │ activation_401[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_404[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_8_conv      │ (None, 12, 12,    │    418,880 │ block17_8_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_7_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_8_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_8_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_436 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_8_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_436[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_406      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_437 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_406[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_437[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_407      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_435 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_8_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_438 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_407[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_435[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_438[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_405      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_408      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_9_mixed     │ (None, 12, 12,    │          0 │ activation_405[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_408[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_9_conv      │ (None, 12, 12,    │    418,880 │ block17_9_mixed[… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_8_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_9_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_9_ac        │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_440 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_9_ac[0][… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_440[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_410      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_441 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_410[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_441[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_411      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_439 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_9_ac[0][… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_442 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_411[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_439[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_442[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_409      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_412      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_10_mixed    │ (None, 12, 12,    │          0 │ activation_409[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_412[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_10_conv     │ (None, 12, 12,    │    418,880 │ block17_10_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_9_ac[0][… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_10_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_10_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_444 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_10_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_444[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_414      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_445 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_414[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_445[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_415      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_443 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_10_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_446 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_415[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_443[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_446[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_413      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_416      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_11_mixed    │ (None, 12, 12,    │          0 │ activation_413[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_416[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_11_conv     │ (None, 12, 12,    │    418,880 │ block17_11_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_10_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_11_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_11_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_448 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_11_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_448[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_418      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_449 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_418[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_449[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_419      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_447 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_11_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_450 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_419[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_447[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_450[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_417      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_420      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_12_mixed    │ (None, 12, 12,    │          0 │ activation_417[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_420[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_12_conv     │ (None, 12, 12,    │    418,880 │ block17_12_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_11_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_12_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_12_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_452 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_12_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_452[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_422      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_453 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_422[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_453[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_423      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_451 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_12_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_454 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_423[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_451[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_454[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_421      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_424      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_13_mixed    │ (None, 12, 12,    │          0 │ activation_421[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_424[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_13_conv     │ (None, 12, 12,    │    418,880 │ block17_13_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_12_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_13_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_13_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_456 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_13_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_456[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_426      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_457 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_426[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_457[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_427      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_455 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_13_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_458 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_427[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_455[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_458[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_425      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_428      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_14_mixed    │ (None, 12, 12,    │          0 │ activation_425[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_428[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_14_conv     │ (None, 12, 12,    │    418,880 │ block17_14_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_13_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_14_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_14_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_460 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_14_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_460[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_430      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_461 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_430[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_461[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_431      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_459 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_14_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_462 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_431[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_459[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_462[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_429      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_432      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_15_mixed    │ (None, 12, 12,    │          0 │ activation_429[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_432[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_15_conv     │ (None, 12, 12,    │    418,880 │ block17_15_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_14_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_15_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_15_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_464 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_15_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_464[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_434      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_465 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_434[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_465[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_435      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_463 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_15_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_466 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_435[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_463[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_466[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_433      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_436      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_16_mixed    │ (None, 12, 12,    │          0 │ activation_433[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_436[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_16_conv     │ (None, 12, 12,    │    418,880 │ block17_16_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_15_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_16_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_16_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_468 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_16_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_468[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_438      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_469 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_438[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_469[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_439      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_467 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_16_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_470 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_439[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_467[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_470[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_437      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_440      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_17_mixed    │ (None, 12, 12,    │          0 │ activation_437[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_440[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_17_conv     │ (None, 12, 12,    │    418,880 │ block17_17_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_16_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_17_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_17_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_472 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_17_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_472[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_442      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_473 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_442[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_473[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_443      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_471 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_17_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_474 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_443[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_471[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_474[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_441      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_444      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_18_mixed    │ (None, 12, 12,    │          0 │ activation_441[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_444[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_18_conv     │ (None, 12, 12,    │    418,880 │ block17_18_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_17_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_18_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_18_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_476 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_18_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_476[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_446      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_477 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_446[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_477[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_447      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_475 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_18_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_478 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_447[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_475[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_478[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_445      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_448      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_19_mixed    │ (None, 12, 12,    │          0 │ activation_445[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_448[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_19_conv     │ (None, 12, 12,    │    418,880 │ block17_19_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_18_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_19_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_19_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_480 (Conv2D) │ (None, 12, 12,    │    139,264 │ block17_19_ac[0]… │\n","│                     │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        384 │ conv2d_480[0][0]  │\n","│ (BatchNormalizatio… │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_450      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 128)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_481 (Conv2D) │ (None, 12, 12,    │    143,360 │ activation_450[0… │\n","│                     │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        480 │ conv2d_481[0][0]  │\n","│ (BatchNormalizatio… │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_451      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 160)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_479 (Conv2D) │ (None, 12, 12,    │    208,896 │ block17_19_ac[0]… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_482 (Conv2D) │ (None, 12, 12,    │    215,040 │ activation_451[0… │\n","│                     │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_479[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        576 │ conv2d_482[0][0]  │\n","│ (BatchNormalizatio… │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_449      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_452      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 192)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_20_mixed    │ (None, 12, 12,    │          0 │ activation_449[0… │\n","│ (Concatenate)       │ 384)              │            │ activation_452[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_20_conv     │ (None, 12, 12,    │    418,880 │ block17_20_mixed… │\n","│ (Conv2D)            │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 12, 12,    │          0 │ block17_19_ac[0]… │\n","│ (CustomScaleLayer)  │ 1088)             │            │ block17_20_conv[… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_20_ac       │ (None, 12, 12,    │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_487 (Conv2D) │ (None, 12, 12,    │    278,528 │ block17_20_ac[0]… │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        768 │ conv2d_487[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_457      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_483 (Conv2D) │ (None, 12, 12,    │    278,528 │ block17_20_ac[0]… │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_485 (Conv2D) │ (None, 12, 12,    │    278,528 │ block17_20_ac[0]… │\n","│                     │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_488 (Conv2D) │ (None, 12, 12,    │    663,552 │ activation_457[0… │\n","│                     │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        768 │ conv2d_483[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        768 │ conv2d_485[0][0]  │\n","│ (BatchNormalizatio… │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 12, 12,    │        864 │ conv2d_488[0][0]  │\n","│ (BatchNormalizatio… │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_453      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_455      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 256)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_458      │ (None, 12, 12,    │          0 │ batch_normalizat… │\n","│ (Activation)        │ 288)              │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_484 (Conv2D) │ (None, 5, 5, 384) │    884,736 │ activation_453[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_486 (Conv2D) │ (None, 5, 5, 288) │    663,552 │ activation_455[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_489 (Conv2D) │ (None, 5, 5, 320) │    829,440 │ activation_458[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 384) │      1,152 │ conv2d_484[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 288) │        864 │ conv2d_486[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 320) │        960 │ conv2d_489[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_454      │ (None, 5, 5, 384) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_456      │ (None, 5, 5, 288) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_459      │ (None, 5, 5, 320) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_35    │ (None, 5, 5,      │          0 │ block17_20_ac[0]… │\n","│ (MaxPooling2D)      │ 1088)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed_7a            │ (None, 5, 5,      │          0 │ activation_454[0… │\n","│ (Concatenate)       │ 2080)             │            │ activation_456[0… │\n","│                     │                   │            │ activation_459[0… │\n","│                     │                   │            │ max_pooling2d_35… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_491 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ mixed_7a[0][0]    │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_491[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_461      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_492 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_461[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_492[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_462      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_490 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ mixed_7a[0][0]    │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_493 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_462[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_490[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_493[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_460      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_463      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_1_mixed      │ (None, 5, 5, 448) │          0 │ activation_460[0… │\n","│ (Concatenate)       │                   │            │ activation_463[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_1_conv       │ (None, 5, 5,      │    933,920 │ block8_1_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ mixed_7a[0][0],   │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_1_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_1_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_495 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_1_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_495[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_465      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_496 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_465[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_496[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_466      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_494 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_1_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_497 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_466[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_494[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_497[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_464      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_467      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_2_mixed      │ (None, 5, 5, 448) │          0 │ activation_464[0… │\n","│ (Concatenate)       │                   │            │ activation_467[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_2_conv       │ (None, 5, 5,      │    933,920 │ block8_2_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_1_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_2_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_2_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_499 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_2_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_499[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_469      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_500 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_469[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_500[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_470      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_498 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_2_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_501 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_470[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_498[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_501[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_468      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_471      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_3_mixed      │ (None, 5, 5, 448) │          0 │ activation_468[0… │\n","│ (Concatenate)       │                   │            │ activation_471[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_3_conv       │ (None, 5, 5,      │    933,920 │ block8_3_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_2_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_3_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_3_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_503 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_3_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_503[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_473      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_504 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_473[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_504[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_474      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_502 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_3_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_505 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_474[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_502[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_505[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_472      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_475      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_4_mixed      │ (None, 5, 5, 448) │          0 │ activation_472[0… │\n","│ (Concatenate)       │                   │            │ activation_475[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_4_conv       │ (None, 5, 5,      │    933,920 │ block8_4_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_3_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_4_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_4_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_507 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_4_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_507[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_477      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_508 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_477[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_508[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_478      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_506 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_4_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_509 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_478[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_506[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_509[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_476      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_479      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_5_mixed      │ (None, 5, 5, 448) │          0 │ activation_476[0… │\n","│ (Concatenate)       │                   │            │ activation_479[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_5_conv       │ (None, 5, 5,      │    933,920 │ block8_5_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_4_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_5_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_5_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_511 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_5_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_511[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_481      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_512 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_481[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_512[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_482      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_510 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_5_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_513 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_482[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_510[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_513[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_480      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_483      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_6_mixed      │ (None, 5, 5, 448) │          0 │ activation_480[0… │\n","│ (Concatenate)       │                   │            │ activation_483[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_6_conv       │ (None, 5, 5,      │    933,920 │ block8_6_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_5_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_6_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_6_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_515 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_6_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_515[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_485      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_516 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_485[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_516[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_486      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_514 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_6_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_517 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_486[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_514[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_517[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_484      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_487      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_7_mixed      │ (None, 5, 5, 448) │          0 │ activation_484[0… │\n","│ (Concatenate)       │                   │            │ activation_487[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_7_conv       │ (None, 5, 5,      │    933,920 │ block8_7_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_6_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_7_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_7_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_519 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_7_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_519[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_489      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_520 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_489[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_520[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_490      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_518 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_7_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_521 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_490[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_518[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_521[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_488      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_491      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_8_mixed      │ (None, 5, 5, 448) │          0 │ activation_488[0… │\n","│ (Concatenate)       │                   │            │ activation_491[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_8_conv       │ (None, 5, 5,      │    933,920 │ block8_8_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_7_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_8_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_8_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_523 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_8_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_523[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_493      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_524 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_493[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_524[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_494      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_522 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_8_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_525 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_494[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_522[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_525[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_492      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_495      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_9_mixed      │ (None, 5, 5, 448) │          0 │ activation_492[0… │\n","│ (Concatenate)       │                   │            │ activation_495[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_9_conv       │ (None, 5, 5,      │    933,920 │ block8_9_mixed[0… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_8_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_9_conv[0]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_9_ac         │ (None, 5, 5,      │          0 │ custom_scale_lay… │\n","│ (Activation)        │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_527 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_9_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_527[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_497      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_528 (Conv2D) │ (None, 5, 5, 224) │    129,024 │ activation_497[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 224) │        672 │ conv2d_528[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_498      │ (None, 5, 5, 224) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_526 (Conv2D) │ (None, 5, 5, 192) │    399,360 │ block8_9_ac[0][0] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_529 (Conv2D) │ (None, 5, 5, 256) │    172,032 │ activation_498[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 192) │        576 │ conv2d_526[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (None, 5, 5, 256) │        768 │ conv2d_529[0][0]  │\n","│ (BatchNormalizatio… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_496      │ (None, 5, 5, 192) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_499      │ (None, 5, 5, 256) │          0 │ batch_normalizat… │\n","│ (Activation)        │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_10_mixed     │ (None, 5, 5, 448) │          0 │ activation_496[0… │\n","│ (Concatenate)       │                   │            │ activation_499[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_10_conv      │ (None, 5, 5,      │    933,920 │ block8_10_mixed[… │\n","│ (Conv2D)            │ 2080)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (None, 5, 5,      │          0 │ block8_9_ac[0][0… │\n","│ (CustomScaleLayer)  │ 2080)             │            │ block8_10_conv[0… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv_7b (Conv2D)    │ (None, 5, 5,      │  3,194,880 │ custom_scale_lay… │\n","│                     │ 1536)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv_7b_bn          │ (None, 5, 5,      │      4,608 │ conv_7b[0][0]     │\n","│ (BatchNormalizatio… │ 1536)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv_7b_ac          │ (None, 5, 5,      │          0 │ conv_7b_bn[0][0]  │\n","│ (Activation)        │ 1536)             │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (None, 1536)      │          0 │ conv_7b_ac[0][0]  │\n","│ (GlobalAveragePool… │                   │            │                   │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_39 (Dense)    │ (None, 1024)      │  1,573,888 │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_40 (Dense)    │ (None, 1)         │      1,025 │ dense_39[0][0]    │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","
\n"],"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n","│ input_layer_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n","│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_327 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ input_layer_12[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_327[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_297 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m111\u001b[0m, \u001b[38;5;34m111\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_328 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_297[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_328[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_298 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_329 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ activation_298[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_329[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_299 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m109\u001b[0m, \u001b[38;5;34m109\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_32 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_299[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_330 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m5,120\u001b[0m │ max_pooling2d_32… │\n","│ │ \u001b[38;5;34m80\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m240\u001b[0m │ conv2d_330[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m80\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_300 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m54\u001b[0m, \u001b[38;5;34m54\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m80\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_331 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, │ \u001b[38;5;34m138,240\u001b[0m │ activation_300[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_331[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_301 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m52\u001b[0m, \u001b[38;5;34m52\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_33 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_301[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_335 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_33… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_335[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_305 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_333 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ max_pooling2d_33… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_336 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_305[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_333[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_336[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_303 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_306 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ average_pooling2d_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ max_pooling2d_33… │\n","│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_332 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ max_pooling2d_33… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_334 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_303[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_337 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_306[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_338 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ average_pooling2… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_332[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_334[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_337[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_338[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_302 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_304 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_307 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_308 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed_5b │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_302[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ activation_304[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_307[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_308[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_342 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ mixed_5b[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_342[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_312 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_340 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ mixed_5b[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_343 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_312[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_340[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_343[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_310 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_313 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_339 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ mixed_5b[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_341 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_310[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_344 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_313[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_339[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_341[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_344[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_309 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_311 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_314 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_1_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_309[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_311[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_314[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_1_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed_5b[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_1_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_1_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_348 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_348[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_318 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_346 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_349 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_318[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_346[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_349[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_316 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_319 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_345 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_347 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_316[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_350 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_319[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_345[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_347[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_350[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_315 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_317 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_320 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_2_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_315[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_317[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_320[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_2_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_2_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_2_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_354 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_354[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_324 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_352 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_355 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_324[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_352[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_355[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_322 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_325 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_351 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_353 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_322[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_356 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_325[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_351[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_353[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_356[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_321 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_323 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_326 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_3_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_321[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_323[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_326[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_3_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_3_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_3_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_3_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_360 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_360[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_330 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_358 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_361 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_330[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_358[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_361[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_328 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_331 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_357 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_359 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_328[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_362 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_331[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_357[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_359[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_362[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_327 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_329 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_332 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_4_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_327[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_329[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_332[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_4_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_4_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_4_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_4_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_366 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_366[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_336 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_364 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_367 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_336[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_364[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_367[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_334 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_337 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_363 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_365 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_334[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_368 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_337[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_363[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_365[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_368[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_333 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_335 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_338 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_5_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_333[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_335[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_338[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_5_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_5_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_5_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_5_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_372 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_372[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_342 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_370 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_373 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_342[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_370[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_373[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_340 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_343 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_369 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_371 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_340[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_374 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_343[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_369[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_371[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_374[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_339 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_341 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_344 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_6_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_339[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_341[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_344[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_6_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_6_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_6_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_6_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_378 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_378[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_348 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_376 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_379 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_348[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_376[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_379[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_346 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_349 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_375 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_377 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_346[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_380 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_349[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_375[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_377[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_380[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_345 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_347 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_350 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_7_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_345[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_347[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_350[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_7_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_7_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_7_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_7_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_384 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_384[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_354 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_382 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_385 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_354[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_382[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_385[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_352 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_355 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_381 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_383 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_352[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_386 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_355[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_381[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_383[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_386[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_351 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_353 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_356 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_8_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_351[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_353[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_356[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_8_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_8_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_8_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_8_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_390 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_390[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_360 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_388 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_391 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_360[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_388[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_391[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_358 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_361 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_387 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_389 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_358[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_392 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_361[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_387[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_389[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_392[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_357 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_359 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_362 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_9_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_357[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_359[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_362[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_9_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_9_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_9_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_9_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_396 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_396[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_366 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_394 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_397 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m13,824\u001b[0m │ activation_366[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_394[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_397[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_364 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_367 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m48\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_393 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m10,240\u001b[0m │ block35_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_395 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation_364[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_398 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m27,648\u001b[0m │ activation_367[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_393[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_395[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_398[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_363 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_365 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_368 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_10_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_363[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ activation_365[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_368[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_10_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m41,280\u001b[0m │ block35_10_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ block35_10_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block35_10_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_400 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m81,920\u001b[0m │ block35_10_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2d_400[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_370 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_401 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m589,824\u001b[0m │ activation_370[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2d_401[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_371 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_399 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m1,105,920\u001b[0m │ block35_10_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_402 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m884,736\u001b[0m │ activation_371[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_399[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_402[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_369 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_372 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_34 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block35_10_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed_6a │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_369[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ activation_372[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ max_pooling2d_34… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_404 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ mixed_6a[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_404[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_374 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_405 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_374[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_405[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_375 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_403 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ mixed_6a[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_406 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_375[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_403[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_406[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_373 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_376 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_1_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_373[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_376[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_1_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed_6a[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_1_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_1_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_408 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_408[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_378 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_409 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_378[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_409[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_379 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_407 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_410 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_379[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_407[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_410[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_377 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_380 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_2_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_377[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_380[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_2_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_2_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_2_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_412 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_412[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_382 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_413 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_382[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_413[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_383 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_411 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_414 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_383[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_411[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_414[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_381 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_384 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_3_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_381[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_384[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_3_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_3_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_3_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_3_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_416 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_416[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_386 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_417 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_386[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_417[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_387 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_415 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_418 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_387[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_415[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_418[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_385 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_388 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_4_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_385[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_388[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_4_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_4_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_4_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_4_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_420 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_420[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_390 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_421 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_390[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_421[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_391 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_419 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_422 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_391[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_419[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_422[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_389 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_392 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_5_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_389[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_392[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_5_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_5_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_5_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_5_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_424 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_424[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_394 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_425 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_394[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_425[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_395 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_423 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_426 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_395[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_423[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_426[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_393 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_396 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_6_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_393[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_396[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_6_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_6_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_6_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_6_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_428 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_428[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_398 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_429 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_398[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_429[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_399 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_427 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_430 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_399[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_427[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_430[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_397 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_400 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_7_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_397[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_400[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_7_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_7_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_7_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_7_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_432 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_432[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_402 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_433 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_402[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_433[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_403 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_431 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_434 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_403[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_431[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_434[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_401 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_404 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_8_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_401[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_404[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_8_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_8_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_8_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_8_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_436 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_436[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_406 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_437 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_406[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_437[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_407 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_435 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_438 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_407[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_435[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_438[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_405 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_408 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_9_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_405[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_408[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_9_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_9_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_9_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_9_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_440 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_440[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_410 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_441 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_410[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_441[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_411 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_439 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_442 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_411[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_439[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_442[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_409 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_412 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_10_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_409[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_412[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_10_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_10_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_10_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_10_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_444 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_10_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_444[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_414 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_445 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_414[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_445[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_415 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_443 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_10_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_446 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_415[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_443[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_446[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_413 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_416 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_11_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_413[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_416[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_11_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_11_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_10_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_11_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_11_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_448 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_11_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_448[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_418 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_449 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_418[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_449[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_419 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_447 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_11_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_450 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_419[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_447[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_450[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_417 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_420 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_12_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_417[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_420[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_12_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_12_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_11_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_12_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_12_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_452 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_12_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_452[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_422 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_453 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_422[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_453[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_423 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_451 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_12_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_454 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_423[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_451[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_454[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_421 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_424 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_13_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_421[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_424[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_13_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_13_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_12_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_13_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_13_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_456 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_13_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_456[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_426 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_457 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_426[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_457[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_427 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_455 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_13_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_458 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_427[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_455[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_458[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_425 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_428 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_14_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_425[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_428[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_14_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_14_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_13_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_14_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_14_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_460 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_14_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_460[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_430 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_461 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_430[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_461[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_431 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_459 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_14_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_462 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_431[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_459[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_462[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_429 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_432 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_15_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_429[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_432[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_15_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_15_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_14_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_15_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_15_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_464 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_15_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_464[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_434 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_465 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_434[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_465[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_435 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_463 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_15_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_466 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_435[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_463[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_466[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_433 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_436 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_16_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_433[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_436[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_16_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_16_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_15_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_16_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_16_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_468 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_16_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_468[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_438 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_469 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_438[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_469[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_439 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_467 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_16_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_470 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_439[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_467[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_470[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_437 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_440 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_17_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_437[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_440[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_17_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_17_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_16_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_17_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_17_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_472 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_17_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_472[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_442 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_473 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_442[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_473[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_443 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_471 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_17_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_474 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_443[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_471[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_474[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_441 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_444 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_18_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_441[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_444[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_18_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_18_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_17_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_18_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_18_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_476 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_18_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_476[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_446 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_477 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_446[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_477[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_447 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_475 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_18_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_478 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_447[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_475[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_478[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_445 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_448 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_19_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_445[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_448[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_19_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_19_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_18_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_19_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_19_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_480 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ block17_19_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_480[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_450 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_481 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ activation_450[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_481[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_451 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_479 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ block17_19_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_482 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_451[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_479[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_482[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_449 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_452 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_20_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_449[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ activation_452[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_20_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m418,880\u001b[0m │ block17_20_mixed… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_19_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ block17_20_conv[\u001b[38;5;34m…\u001b[0m │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block17_20_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_487 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m278,528\u001b[0m │ block17_20_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2d_487[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_457 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_483 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m278,528\u001b[0m │ block17_20_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_485 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m278,528\u001b[0m │ block17_20_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_488 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m663,552\u001b[0m │ activation_457[\u001b[38;5;34m0\u001b[0m… │\n","│ │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2d_483[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2d_485[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ conv2d_488[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_453 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_455 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_458 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_484 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m884,736\u001b[0m │ activation_453[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_486 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m288\u001b[0m) │ \u001b[38;5;34m663,552\u001b[0m │ activation_455[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_489 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m829,440\u001b[0m │ activation_458[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_484[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m288\u001b[0m) │ \u001b[38;5;34m864\u001b[0m │ conv2d_486[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_489[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_454 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_456 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m288\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_459 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ max_pooling2d_35 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block17_20_ac[\u001b[38;5;34m0\u001b[0m]… │\n","│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ mixed_7a │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_454[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ activation_456[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ activation_459[\u001b[38;5;34m0\u001b[0m… │\n","│ │ │ │ max_pooling2d_35… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_491 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ mixed_7a[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_491[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_461 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_492 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_461[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_492[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_462 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_490 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ mixed_7a[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_493 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_462[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_490[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_493[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_460 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_463 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_1_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_460[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_463[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_1_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ mixed_7a[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_1_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_1_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_495 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_495[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_465 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_496 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_465[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_496[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_466 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_494 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_497 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_466[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_494[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_497[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_464 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_467 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_2_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_464[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_467[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_2_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_1_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_2_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_2_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_499 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_499[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_469 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_500 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_469[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_500[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_470 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_498 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_501 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_470[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_498[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_501[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_468 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_471 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_3_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_468[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_471[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_3_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_3_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_2_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_3_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_3_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_503 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_503[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_473 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_504 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_473[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_504[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_474 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_502 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_505 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_474[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_502[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_505[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_472 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_475 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_4_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_472[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_475[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_4_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_4_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_3_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_4_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_4_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_507 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_507[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_477 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_508 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_477[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_508[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_478 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_506 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_509 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_478[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_506[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_509[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_476 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_479 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_5_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_476[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_479[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_5_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_5_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_4_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_5_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_5_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_511 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_511[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_481 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_512 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_481[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_512[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_482 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_510 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_513 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_482[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_510[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_513[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_480 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_483 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_6_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_480[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_483[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_6_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_6_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_5_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_6_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_6_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_515 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_515[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_485 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_516 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_485[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_516[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_486 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_514 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_517 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_486[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_514[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_517[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_484 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_487 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_7_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_484[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_487[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_7_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_7_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_6_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_7_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_7_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_519 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_519[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_489 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_520 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_489[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_520[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_490 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_518 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_521 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_490[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_518[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_521[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_488 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_491 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_8_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_488[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_491[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_8_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_8_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_7_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_8_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_8_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_523 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_523[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_493 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_524 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_493[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_524[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_494 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_522 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_525 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_494[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_522[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_525[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_492 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_495 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_9_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_492[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_495[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_9_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_9_mixed[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_8_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_9_conv[\u001b[38;5;34m0\u001b[0m]… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_9_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ custom_scale_lay… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_527 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_527[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_497 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_528 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m129,024\u001b[0m │ activation_497[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m672\u001b[0m │ conv2d_528[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_498 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m224\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_526 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m399,360\u001b[0m │ block8_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv2d_529 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ activation_498[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_526[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m768\u001b[0m │ conv2d_529[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_496 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ activation_499 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_10_mixed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_496[\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_499[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ block8_10_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m933,920\u001b[0m │ block8_10_mixed[\u001b[38;5;34m…\u001b[0m │\n","│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ custom_scale_layer… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ block8_9_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n","│ (\u001b[38;5;33mCustomScaleLayer\u001b[0m) │ \u001b[38;5;34m2080\u001b[0m) │ │ block8_10_conv[\u001b[38;5;34m0\u001b[0m… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv_7b (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m3,194,880\u001b[0m │ custom_scale_lay… │\n","│ │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv_7b_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m4,608\u001b[0m │ conv_7b[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ conv_7b_ac │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv_7b_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv_7b_ac[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_39 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m1,573,888\u001b[0m │ global_average_p… │\n","├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n","│ dense_40 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m1,025\u001b[0m │ dense_39[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n","└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Total params: 55,911,649 (213.29 MB)\n","
\n"],"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m55,911,649\u001b[0m (213.29 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Trainable params: 1,574,913 (6.01 MB)\n","
\n"],"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,574,913\u001b[0m (6.01 MB)\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
 Non-trainable params: 54,336,736 (207.28 MB)\n","
\n"],"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m54,336,736\u001b[0m (207.28 MB)\n"]},"metadata":{},"output_type":"display_data"}],"source":["from tensorflow.keras.applications import InceptionResNetV2\n","from tensorflow.keras.layers import Dense, Flatten, Dropout\n","from tensorflow.keras.models import Model\n","\n","# Load the InceptionResNetV2 model and create the feature extractor\n","inception_resnet_model = InceptionResNetV2(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n","feature_extractor = Model(inputs=inception_resnet_model.input, outputs=inception_resnet_model.get_layer('conv_7b_ac').output)\n","\n","# Freeze the convolutional base layers\n","for layer in feature_extractor.layers:\n"," layer.trainable = False\n","\n","# Add custom dense layers on top\n","x = feature_extractor.output\n","x = GlobalAveragePooling2D()(x)\n","x = Dense(1024, activation='relu')(x)\n","\n","output = Dense(1, activation='sigmoid')(x)\n","\n","# Create the final model\n","model = Model(inputs=feature_extractor.input, outputs=output)\n","\n","model_checkpoint = ModelCheckpoint('att_model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\n","reduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=0.00000001, verbose=1)\n","\n","# Print the model summary\n","model.summary()"]},{"cell_type":"code","execution_count":58,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:07:37.904478Z","iopub.status.busy":"2024-05-30T13:07:37.903569Z","iopub.status.idle":"2024-05-30T13:10:13.298717Z","shell.execute_reply":"2024-05-30T13:10:13.297722Z","shell.execute_reply.started":"2024-05-30T13:07:37.904441Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/20\n","\u001b[1m 1/22\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m11:27\u001b[0m 33s/step - accuracy: 0.5625 - loss: 0.6966"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074491.473581 1771 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 740ms/step - accuracy: 0.5433 - loss: 1.3934"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074519.231847 1773 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\n","Epoch 1: val_accuracy improved from -inf to 0.73973, saving model to att_model.keras\n"]},{"name":"stderr","output_type":"stream","text":["W0000 00:00:1717074530.841782 1773 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m74s\u001b[0m 2s/step - accuracy: 0.5451 - loss: 1.3793 - val_accuracy: 0.7397 - val_loss: 0.5297 - learning_rate: 0.0010\n","Epoch 2/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - accuracy: 0.7394 - loss: 0.5189\n","Epoch 2: val_accuracy improved from 0.73973 to 0.78082, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 277ms/step - accuracy: 0.7402 - loss: 0.5178 - val_accuracy: 0.7808 - val_loss: 0.4599 - learning_rate: 0.0010\n","Epoch 3/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 149ms/step - accuracy: 0.8425 - loss: 0.4011\n","Epoch 3: val_accuracy did not improve from 0.78082\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 178ms/step - accuracy: 0.8416 - loss: 0.4006 - val_accuracy: 0.7808 - val_loss: 0.4460 - learning_rate: 0.0010\n","Epoch 4/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 143ms/step - accuracy: 0.8778 - loss: 0.3271\n","Epoch 4: val_accuracy did not improve from 0.78082\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 177ms/step - accuracy: 0.8769 - loss: 0.3280 - val_accuracy: 0.7329 - val_loss: 0.5899 - learning_rate: 0.0010\n","Epoch 5/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - accuracy: 0.8526 - loss: 0.3268\n","Epoch 5: val_accuracy improved from 0.78082 to 0.80137, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 274ms/step - accuracy: 0.8535 - loss: 0.3258 - val_accuracy: 0.8014 - val_loss: 0.4830 - learning_rate: 0.0010\n","Epoch 6/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - accuracy: 0.9021 - loss: 0.2516\n","Epoch 6: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 178ms/step - accuracy: 0.9020 - loss: 0.2519 - val_accuracy: 0.8014 - val_loss: 0.4677 - learning_rate: 0.0010\n","Epoch 7/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - accuracy: 0.9196 - loss: 0.2357\n","Epoch 7: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 177ms/step - accuracy: 0.9193 - loss: 0.2356 - val_accuracy: 0.7808 - val_loss: 0.4852 - learning_rate: 0.0010\n","Epoch 8/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 147ms/step - accuracy: 0.9465 - loss: 0.1763\n","Epoch 8: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n","\n","Epoch 8: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 175ms/step - accuracy: 0.9450 - loss: 0.1785 - val_accuracy: 0.6986 - val_loss: 0.6049 - learning_rate: 0.0010\n","Epoch 9/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 146ms/step - accuracy: 0.9340 - loss: 0.1931\n","Epoch 9: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 175ms/step - accuracy: 0.9352 - loss: 0.1911 - val_accuracy: 0.8014 - val_loss: 0.4997 - learning_rate: 1.0000e-04\n","Epoch 10/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 142ms/step - accuracy: 0.9708 - loss: 0.1291\n","Epoch 10: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 175ms/step - accuracy: 0.9706 - loss: 0.1294 - val_accuracy: 0.7877 - val_loss: 0.4922 - learning_rate: 1.0000e-04\n","Epoch 11/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 145ms/step - accuracy: 0.9659 - loss: 0.1437\n","Epoch 11: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 173ms/step - accuracy: 0.9665 - loss: 0.1424 - val_accuracy: 0.7877 - val_loss: 0.4922 - learning_rate: 1.0000e-04\n","Epoch 12/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - accuracy: 0.9722 - loss: 0.1199\n","Epoch 12: val_accuracy did not improve from 0.80137\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 173ms/step - accuracy: 0.9719 - loss: 0.1204 - val_accuracy: 0.7877 - val_loss: 0.5042 - learning_rate: 1.0000e-04\n","Epoch 13/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - accuracy: 0.9767 - loss: 0.1119\n","Epoch 13: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n","\n","Epoch 13: val_accuracy improved from 0.80137 to 0.80822, saving model to att_model.keras\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 310ms/step - accuracy: 0.9766 - loss: 0.1122 - val_accuracy: 0.8082 - val_loss: 0.5000 - learning_rate: 1.0000e-04\n","Epoch 14/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - accuracy: 0.9805 - loss: 0.1270\n","Epoch 14: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 172ms/step - accuracy: 0.9804 - loss: 0.1261 - val_accuracy: 0.8082 - val_loss: 0.5006 - learning_rate: 1.0000e-05\n","Epoch 15/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 143ms/step - accuracy: 0.9775 - loss: 0.1147\n","Epoch 15: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 171ms/step - accuracy: 0.9775 - loss: 0.1148 - val_accuracy: 0.7945 - val_loss: 0.5040 - learning_rate: 1.0000e-05\n","Epoch 16/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - accuracy: 0.9761 - loss: 0.1179\n","Epoch 16: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 172ms/step - accuracy: 0.9761 - loss: 0.1177 - val_accuracy: 0.8014 - val_loss: 0.5036 - learning_rate: 1.0000e-05\n","Epoch 17/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - accuracy: 0.9800 - loss: 0.1121\n","Epoch 17: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 175ms/step - accuracy: 0.9799 - loss: 0.1122 - val_accuracy: 0.7945 - val_loss: 0.5037 - learning_rate: 1.0000e-05\n","Epoch 18/20\n","\u001b[1m21/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 146ms/step - accuracy: 0.9918 - loss: 0.1045\n","Epoch 18: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n","\n","Epoch 18: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 174ms/step - accuracy: 0.9908 - loss: 0.1053 - val_accuracy: 0.8014 - val_loss: 0.5039 - learning_rate: 1.0000e-05\n","Epoch 19/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - accuracy: 0.9826 - loss: 0.1053\n","Epoch 19: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 174ms/step - accuracy: 0.9825 - loss: 0.1056 - val_accuracy: 0.7945 - val_loss: 0.5041 - learning_rate: 1.0000e-06\n","Epoch 20/20\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - accuracy: 0.9766 - loss: 0.1173\n","Epoch 20: val_accuracy did not improve from 0.80822\n","\u001b[1m22/22\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 175ms/step - accuracy: 0.9767 - loss: 0.1171 - val_accuracy: 0.7945 - val_loss: 0.5044 - learning_rate: 1.0000e-06\n"]}],"source":["model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n","history = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=32,callbacks=[reduce_lr,model_checkpoint])"]},{"cell_type":"code","execution_count":59,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:10:13.301775Z","iopub.status.busy":"2024-05-30T13:10:13.301146Z","iopub.status.idle":"2024-05-30T13:10:13.569291Z","shell.execute_reply":"2024-05-30T13:10:13.568408Z","shell.execute_reply.started":"2024-05-30T13:10:13.301714Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Loss\")\n","plt.title(\"Loss per epoch\")\n","plt.show()"]},{"cell_type":"code","execution_count":60,"metadata":{"execution":{"iopub.execute_input":"2024-05-30T13:10:13.570646Z","iopub.status.busy":"2024-05-30T13:10:13.570369Z","iopub.status.idle":"2024-05-30T13:10:13.872346Z","shell.execute_reply":"2024-05-30T13:10:13.871362Z","shell.execute_reply.started":"2024-05-30T13:10:13.570621Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.xlabel(\"Epoch\")\n","plt.ylabel(\"Accuracy\")\n","plt.title(\"Accuracy per epoch\")\n","plt.show()"]}],"metadata":{"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"datasetId":4423404,"sourceId":7598969,"sourceType":"datasetVersion"}],"dockerImageVersionId":30699,"isGpuEnabled":true,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.13"}},"nbformat":4,"nbformat_minor":4} diff --git a/AI Generated vs Real Images Classification using DL/README.md b/AI Generated vs Real Images Classification using DL/README.md new file mode 100644 index 000000000..da8e0638d --- /dev/null +++ b/AI Generated vs Real Images Classification using DL/README.md @@ -0,0 +1,127 @@ +## **AI Generated vs Real Images Classification using DL** + +### 🎯 **Goal** + +The objective of this project is to classify images, on whether they were AI generated or real images with human background like paintings and pictures. + +### 🧵 **Dataset** + +The dataset consists of 2 subfolders each with a subdirectory leading to the images. Images have been reshaped to 224X224 pixels for modelling. + +### 🧾 **Description** + +The project deals with binary classification, classifying images into the two classes: AIArt or RealArt. + +### 🧮 **What I had done!** + +To achieve our goals, following were implemented: + +- Images were loaded using keras.utils and normalized into the range (0 to 1). + +- Images have been set to a fixed size of 224X224 pixels. + +- Custom as well as pre-trained models were used for this task. + +### 🚀 **Models Implemented** + +models used: + +- ResNet-50 +- Xception +- VGG16 +- CNN-Keras +- Inception + +### 📚 **Libraries Needed** + +- Keras + +- Tensorflow + +- Numpy + +- Matplotlib + +### 📊 **Exploratory Data Analysis Results** + + +- **Real Art** + +

+ + +

+ +- **AI Art** + +

+ + +

+ +- **CNN** + +

+ + +

+ +- **Inception-Resnet-V2** + +

+ + +

+ +- **Xception** + +

+ + +

+ +- **VGG16** + +

+ + +

+ +- **DenseNet121** + +

+ + +

+ +- **Inception** + +

+ + +

+ +### 📈 **Performance of the Models based on the Accuracy Scores** + +We used Validation Loss and Accuracy as metrics for evaluation. + +Metrics: + +| Models | Accuracy | Loss | +|--------|---------------------|--------------------------| +| DenseNet-121 | 76.03% | 0.4916 | +| inception | 76.71% | 0.4543 | +| CNN | 67.81% | 0.6443 | +| Inception-Resnet-V2 | 80.82% | 0.5000 | +| Xception | 75.34% | 0.5466 | +| VGG16 | 78.77% | 0.5400 | + +### 📢 **Conclusion** + +We conclude the following: + +Inception-ResNet-V2 works exceptionally well with higher accuracy and moderate loss. + +### ✒️ **Your Signature** + +Original Contributor: Arihant Bhandari [https://github.com/Arihant-Bhandari]