diff --git a/Plant Pathogen Detection using DL/Dataset/README.md b/Plant Pathogen Detection using DL/Dataset/README.md new file mode 100644 index 000000000..b07fd9e1a --- /dev/null +++ b/Plant Pathogen Detection using DL/Dataset/README.md @@ -0,0 +1,5 @@ +The link for the dataset used in this project: https://www.kaggle.com/datasets/kanishk3813/pathogen-dataset + +The dataset consists of 5 subdirectories dealing with Healthy, Virus, Bacteria, Fungi and Pests: each carrying approximately 8000 images totalling to approximately 40000 images. + +We downsampled to approximately 1000 images per class totalling to 5000 images. \ No newline at end of file diff --git a/Plant Pathogen Detection using DL/Images/Bacteria.png b/Plant Pathogen Detection using DL/Images/Bacteria.png new file mode 100644 index 000000000..c42dc299f Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Bacteria.png differ diff --git a/Plant Pathogen Detection using DL/Images/CNN Accuracy.png b/Plant Pathogen Detection using DL/Images/CNN Accuracy.png new file mode 100644 index 000000000..6917d2ec7 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/CNN Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/CNN Loss.png b/Plant Pathogen Detection using DL/Images/CNN Loss.png new file mode 100644 index 000000000..b836646c8 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/CNN Loss.png differ diff --git a/Plant Pathogen Detection using DL/Images/DENSENET121 Accuracy.png b/Plant Pathogen Detection using DL/Images/DENSENET121 Accuracy.png new file mode 100644 index 000000000..f0186a1b9 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/DENSENET121 Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/DENSENET121 Loss.png b/Plant Pathogen Detection using DL/Images/DENSENET121 Loss.png new file mode 100644 index 000000000..c99cb3ea4 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/DENSENET121 Loss.png differ diff --git a/Plant Pathogen Detection using DL/Images/EDA.png b/Plant Pathogen Detection using DL/Images/EDA.png new file mode 100644 index 000000000..0267c2f1e Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/EDA.png differ diff --git a/Plant Pathogen Detection using DL/Images/Fungi.png b/Plant Pathogen Detection using DL/Images/Fungi.png new file mode 100644 index 000000000..dd8d64bbb Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Fungi.png differ diff --git a/Plant Pathogen Detection using DL/Images/Healthy.png b/Plant Pathogen Detection using DL/Images/Healthy.png new file mode 100644 index 000000000..fbd54000c Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Healthy.png differ diff --git a/Plant Pathogen Detection using DL/Images/InceptionV3 Accuracy.png b/Plant Pathogen Detection using DL/Images/InceptionV3 Accuracy.png new file mode 100644 index 000000000..75a004f60 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/InceptionV3 Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/InceptionV3 Loss.png b/Plant Pathogen Detection using DL/Images/InceptionV3 Loss.png new file mode 100644 index 000000000..d5d128ba2 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/InceptionV3 Loss.png differ diff --git a/Plant Pathogen Detection using DL/Images/MobileNet Accuracy.png b/Plant Pathogen Detection using DL/Images/MobileNet Accuracy.png new file mode 100644 index 000000000..9dd626e53 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/MobileNet Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/MobileNet Loss.png b/Plant Pathogen Detection using DL/Images/MobileNet Loss.png new file mode 100644 index 000000000..323476533 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/MobileNet Loss.png differ diff --git a/Plant Pathogen Detection using DL/Images/NASNetMobile Accuracy.png b/Plant Pathogen Detection using DL/Images/NASNetMobile Accuracy.png new file mode 100644 index 000000000..06dde0ff5 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/NASNetMobile Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/NASNetMobile Loss.png b/Plant Pathogen Detection using DL/Images/NASNetMobile Loss.png new file mode 100644 index 000000000..71f91ed3a Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/NASNetMobile Loss.png differ diff --git a/Plant Pathogen Detection using DL/Images/Pests.png b/Plant Pathogen Detection using DL/Images/Pests.png new file mode 100644 index 000000000..14d5e8aa0 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Pests.png differ diff --git a/Plant Pathogen Detection using DL/Images/VGG16 Accuracy.png b/Plant Pathogen Detection using DL/Images/VGG16 Accuracy.png new file mode 100644 index 000000000..1b65c0b56 Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/VGG16 Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/VGG16 Loss.png b/Plant Pathogen Detection using DL/Images/VGG16 Loss.png new file mode 100644 index 000000000..fa09e2a8d Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/VGG16 Loss.png differ diff --git a/Plant Pathogen Detection using DL/Images/Virus.png b/Plant Pathogen Detection using DL/Images/Virus.png new file mode 100644 index 000000000..588f8144d Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Virus.png differ diff --git a/Plant Pathogen Detection using DL/Images/Xception Accuracy.png b/Plant Pathogen Detection using DL/Images/Xception Accuracy.png new file mode 100644 index 000000000..c0e3edf7e Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Xception Accuracy.png differ diff --git a/Plant Pathogen Detection using DL/Images/Xception Loss.png b/Plant Pathogen Detection using DL/Images/Xception Loss.png new file mode 100644 index 000000000..bb7df491f Binary files /dev/null and b/Plant Pathogen Detection using DL/Images/Xception Loss.png differ diff --git a/Plant Pathogen Detection using DL/Model/plant-pathogen.ipynb b/Plant Pathogen Detection using DL/Model/plant-pathogen.ipynb new file mode 100644 index 000000000..e3c40cfb3 --- /dev/null +++ b/Plant Pathogen Detection using DL/Model/plant-pathogen.ipynb @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":7803341,"sourceType":"datasetVersion","datasetId":4569462}],"dockerImageVersionId":30733,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# importing modules and libraries\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport keras\nfrom keras.layers import Input, InputLayer, Conv2D, MaxPooling2D, Flatten, ELU, Dense, BatchNormalization, Activation\nfrom keras.callbacks import ModelCheckpoint\nfrom keras.models import Sequential\nfrom keras.optimizers import Nadam","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-06-09T09:25:19.483524Z","iopub.execute_input":"2024-06-09T09:25:19.484387Z","iopub.status.idle":"2024-06-09T09:25:31.601650Z","shell.execute_reply.started":"2024-06-09T09:25:19.484350Z","shell.execute_reply":"2024-06-09T09:25:31.600581Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stderr","text":"2024-06-09 09:25:21.952243: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-06-09 09:25:21.952345: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-06-09 09:25:22.093658: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"import tensorflow as tf\nfrom tensorflow import keras\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom collections import Counter\n\n# Loading train and val datasets\ntrain_dataset = keras.utils.image_dataset_from_directory(\n \"/kaggle/input/pathogen-dataset/pathogen\",\n image_size=(4, 4),\n batch_size=32\n)\n\n# Collecting class labels\ntrain_labels = []\nfor _, labels in train_dataset:\n train_labels.extend(labels.numpy())\n\n# Counting occurrences of each label\ntrain_label_counts = Counter(train_labels)\n\n# Plotting the counts\nplt.figure(figsize=(8, 6))\n\nsns.barplot(x=list(train_label_counts.keys()), y=list(train_label_counts.values()))\nplt.title('Train Dataset')\nplt.xlabel('Class Labels')\nplt.ylabel('Image Count')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:28:50.558306Z","iopub.execute_input":"2024-06-09T08:28:50.558859Z","iopub.status.idle":"2024-06-09T08:29:57.748462Z","shell.execute_reply.started":"2024-06-09T08:28:50.558832Z","shell.execute_reply":"2024-06-09T08:29:57.747521Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"Found 39997 files belonging to 5 classes.\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1765: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n order = pd.unique(vector)\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
","image/png":"iVBORw0KGgoAAAANSUhEUgAAAsAAAAIjCAYAAAAN/63DAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABGE0lEQVR4nO3de1iUdf7/8deAcvDAoKaDrGikqVAeEl2dXE2NJCOrlSw3TSqyzVBXKTU3I49Zlnk+ZLnSQb9pbVZqqXjOBDWUMk3XksLNAEthPAEC8/uji/vnhAewwWG9n4/ruq91Pp/3fO73h9nvd1/Xfd1zj8XpdDoFAAAAmISXpxsAAAAAriYCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMABUAY888oiuv/56T7cBAKZAAAaAS7BYLOU6Nm/e7OlWXWzevNmlP19fX9lsNnXr1k0vvviijh07dsVr79+/X+PGjdMPP/zgvob/gKVLl2rGjBmebgPA/xCL0+l0eroJAKiq3n33XZfXb7/9tpKTk/XOO++4jN9xxx2y2WxXfJ5z586ppKREvr6+V7zG+TZv3qzu3btr2LBh6tChg4qLi3Xs2DFt375dK1eulNVq1fLly9WjR48Kr/3BBx+ob9++2rRpk7p16+aWfv+Iu+++W998802VCeQAqr5qnm4AAKqyAQMGuLxOTU1VcnJymfHfO3PmjGrUqFHu81SvXv2K+rucLl266P7773cZ++qrr9SzZ0/FxMRo//79atiwYaWcGwCqKm6BAIA/qFu3brr55puVlpamrl27qkaNGvrnP/8pSfr4448VHR2t4OBg+fr6qmnTppo4caKKi4td1vj9PcA//PCDLBaLXn31VS1cuFBNmzaVr6+vOnTooF27dv2hftu0aaMZM2YoNzdXc+bMMcZ//PFHPfXUU2rRooX8/f1Vr1499e3b1+XKalJSkvr27StJ6t69e5lbQMq730OHDikmJkZBQUHy8/NTo0aN1K9fP+Xl5bnUvfvuu4qIiJC/v7/q1q2rfv366ciRI8Z8t27dtHr1av34449GL9xLDeByuAIMAG7w66+/qlevXurXr58GDBhg3A6RlJSkWrVqKSEhQbVq1dLGjRuVmJgoh8OhV1555bLrLl26VCdPntTf//53WSwWTZ06VX369NHhw4f/0FXj+++/X3FxcVq3bp0mT54sSdq1a5e2b9+ufv36qVGjRvrhhx80f/58devWTfv371eNGjXUtWtXDRs2TLNmzdI///lPhYWFSZLxn+XZb2FhoaKiolRQUKChQ4cqKChIP/30k1atWqXc3FxZrVZJ0uTJk/X888/rgQce0OOPP65jx45p9uzZ6tq1q/bs2aPAwEA999xzysvL03//+19Nnz5dklSrVq0r/rsAMAknAKDc4uPjnb//f5233XabU5JzwYIFZerPnDlTZuzvf/+7s0aNGs78/HxjLDY21tmkSRPjdUZGhlOSs169es7jx48b4x9//LFTknPlypWX7HPTpk1OSc7333//ojVt2rRx1qlT55K9pqSkOCU53377bWPs/fffd0pybtq0qUx9efa7Z8+ey/b2ww8/OL29vZ2TJ092Gd+7d6+zWrVqLuPR0dEufzsAuBxugQAAN/D19dWjjz5aZtzf39/498mTJ/XLL7+oS5cuOnPmjA4cOHDZdR988EHVqVPHeN2lSxdJ0uHDh/9wz7Vq1dLJkycv2Ou5c+f066+/qlmzZgoMDNTu3bvLtWZ59lt6hXft2rU6c+bMBdf58MMPVVJSogceeEC//PKLcQQFBenGG2/Upk2bKrxfACjFLRAA4AZ/+tOf5OPjU2Z83759Gjt2rDZu3CiHw+Ey9/v7XS+kcePGLq9Lw/CJEyf+QLe/OXXqlGrXrm28Pnv2rKZMmaLFixfrp59+kvO8hwSVp1epfPsNDQ1VQkKCXnvtNS1ZskRdunTRPffcowEDBhjh+NChQ3I6nbrxxhsveJ7K+tIgAHMgAAOAG5x/5bNUbm6ubrvtNgUEBGjChAlq2rSp/Pz8tHv3bo0ePVolJSWXXdfb2/uC484/+ATLc+fO6T//+Y9uvvlmY2zo0KFavHixhg8fLrvdLqvVKovFon79+pWr14rsd9q0aXrkkUf08ccfa926dRo2bJimTJmi1NRUNWrUSCUlJbJYLPrss88u+DfgPl8AfwQBGAAqyebNm/Xrr7/qww8/VNeuXY3xjIwMD3b1mw8++EBnz55VVFSUy1hsbKymTZtmjOXn5ys3N9flvRaL5YJrVnS/rVq1UqtWrTR27Fht375dnTt31oIFCzRp0iQ1bdpUTqdToaGhat68+SX3crF+AOBiuAcYACpJ6ZXL86/WFhYWat68eZ5qSdJvzwEePny46tSpo/j4eGPc29u7zJXl2bNnl3mEWc2aNSWpTDAu734dDoeKiopcxlq1aiUvLy8VFBRIkvr06SNvb2+NHz++TE9Op1O//vqrSz/lvUUDACSuAANApbn11ltVp04dxcbGatiwYbJYLHrnnXf+8O0LFfH5558rPz9fxcXF+vXXX/XFF1/ok08+kdVq1YoVKxQUFGTU3n333XrnnXdktVoVHh6ulJQUrV+/XvXq1XNZs23btvL29tbLL7+svLw8+fr6qkePHuXe78aNGzVkyBD17dtXzZs3V1FRkd555x15e3srJiZGktS0aVNNmjRJY8aM0Q8//KD77rtPtWvXVkZGhlasWKEnnnhCzzzzjCQpIiJCy5YtU0JCgjp06KBatWqpd+/elfyXBfC/jAAMAJWkXr16WrVqlZ5++mmNHTtWderU0YABA3T77be73HpQmWbNmiXpty+NBQYGKiwsTOPHj9egQYNUv359l9qZM2fK29tbS5YsUX5+vjp37qz169eX6TUoKEgLFizQlClTFBcXp+LiYuNnkcuz3zZt2igqKkorV67UTz/9pBo1aqhNmzb67LPP1KlTJ6Pu2WefVfPmzTV9+nSNHz9ekhQSEqKePXvqnnvuMeqeeuoppaena/HixZo+fbqaNGlCAAZwSRbn1bwUAQAAAHgY9wADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBWeA1wOJSUlOnr0qGrXrs1PbgIAAFRBTqdTJ0+eVHBwsLy8Ln2NlwBcDkePHlVISIin2wAAAMBlHDlyRI0aNbpkDQG4HGrXri3ptz9oQECAh7sBAADA7zkcDoWEhBi57VIIwOVQettDQEAAARgAAKAKK8/tqnwJDgAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKh4NwMXFxXr++ecVGhoqf39/NW3aVBMnTpTT6TRqnE6nEhMT1bBhQ/n7+ysyMlKHDh1yWef48ePq37+/AgICFBgYqLi4OJ06dcql5uuvv1aXLl3k5+enkJAQTZ069arsEQAAAFWLRwPwyy+/rPnz52vOnDn69ttv9fLLL2vq1KmaPXu2UTN16lTNmjVLCxYs0I4dO1SzZk1FRUUpPz/fqOnfv7/27dun5ORkrVq1Slu3btUTTzxhzDscDvXs2VNNmjRRWlqaXnnlFY0bN04LFy68qvsFAACA51mc519uvcruvvtu2Ww2LVq0yBiLiYmRv7+/3n33XTmdTgUHB+vpp5/WM888I0nKy8uTzWZTUlKS+vXrp2+//Vbh4eHatWuX2rdvL0las2aN7rrrLv33v/9VcHCw5s+fr+eee05ZWVny8fGRJD377LP66KOPdODAgcv26XA4ZLValZeXp4CAgEr4SwAAAOCPqEhe8+gV4FtvvVUbNmzQf/7zH0nSV199pW3btqlXr16SpIyMDGVlZSkyMtJ4j9VqVceOHZWSkiJJSklJUWBgoBF+JSkyMlJeXl7asWOHUdO1a1cj/EpSVFSUDh48qBMnTpTpq6CgQA6Hw+UAAADAtaGaJ0/+7LPPyuFwqGXLlvL29lZxcbEmT56s/v37S5KysrIkSTabzeV9NpvNmMvKylKDBg1c5qtVq6a6deu61ISGhpZZo3SuTp06LnNTpkzR+PHj//D+Ika+/YfXgHukvTKw0s+ROaFVpZ8D5dM4cW+ln6Pz7M6Vfg6UzxdDv6j0c2zpelulnwPlc9vWLZV+jjlPr6z0c6B8hkzrXSnrevQK8PLly7VkyRItXbpUu3fv1ltvvaVXX31Vb731lifb0pgxY5SXl2ccR44c8Wg/AAAAcB+PXgEeOXKknn32WfXr10+S1KpVK/3444+aMmWKYmNjFRQUJEnKzs5Ww4YNjfdlZ2erbdu2kqSgoCDl5OS4rFtUVKTjx48b7w8KClJ2drZLTenr0prz+fr6ytfX1z2bBAAAQJXi0SvAZ86ckZeXawve3t4qKSmRJIWGhiooKEgbNmww5h0Oh3bs2CG73S5Jstvtys3NVVpamlGzceNGlZSUqGPHjkbN1q1bde7cOaMmOTlZLVq0KHP7AwAAAK5tHg3AvXv31uTJk7V69Wr98MMPWrFihV577TX99a9/lSRZLBYNHz5ckyZN0ieffKK9e/dq4MCBCg4O1n333SdJCgsL05133qlBgwZp586d+uKLLzRkyBD169dPwcHBkqSHHnpIPj4+iouL0759+7Rs2TLNnDlTCQkJnto6AAAAPMSjt0DMnj1bzz//vJ566inl5OQoODhYf//735WYmGjUjBo1SqdPn9YTTzyh3Nxc/eUvf9GaNWvk5+dn1CxZskRDhgzR7bffLi8vL8XExGjWrFnGvNVq1bp16xQfH6+IiAhdd911SkxMdHlWMAAAAMzBowG4du3amjFjhmbMmHHRGovFogkTJmjChAkXralbt66WLl16yXO1bt1an3/++ZW2CgAAgGuER2+BAAAAAK42AjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQ8GoCvv/56WSyWMkd8fLwkKT8/X/Hx8apXr55q1aqlmJgYZWdnu6yRmZmp6Oho1ahRQw0aNNDIkSNVVFTkUrN582a1a9dOvr6+atasmZKSkq7WFgEAAFDFeDQA79q1Sz///LNxJCcnS5L69u0rSRoxYoRWrlyp999/X1u2bNHRo0fVp08f4/3FxcWKjo5WYWGhtm/frrfeektJSUlKTEw0ajIyMhQdHa3u3bsrPT1dw4cP1+OPP661a9de3c0CAACgSqjmyZPXr1/f5fVLL72kpk2b6rbbblNeXp4WLVqkpUuXqkePHpKkxYsXKywsTKmpqerUqZPWrVun/fv3a/369bLZbGrbtq0mTpyo0aNHa9y4cfLx8dGCBQsUGhqqadOmSZLCwsK0bds2TZ8+XVFRUVd9zwAAAPCsKnMPcGFhod5991099thjslgsSktL07lz5xQZGWnUtGzZUo0bN1ZKSookKSUlRa1atZLNZjNqoqKi5HA4tG/fPqPm/DVKa0rXuJCCggI5HA6XAwAAANeGKhOAP/roI+Xm5uqRRx6RJGVlZcnHx0eBgYEudTabTVlZWUbN+eG3dL507lI1DodDZ8+evWAvU6ZMkdVqNY6QkJA/uj0AAABUEVUmAC9atEi9evVScHCwp1vRmDFjlJeXZxxHjhzxdEsAAABwE4/eA1zqxx9/1Pr16/Xhhx8aY0FBQSosLFRubq7LVeDs7GwFBQUZNTt37nRZq/QpEefX/P7JEdnZ2QoICJC/v/8F+/H19ZWvr+8f3hcAAACqnipxBXjx4sVq0KCBoqOjjbGIiAhVr15dGzZsMMYOHjyozMxM2e12SZLdbtfevXuVk5Nj1CQnJysgIEDh4eFGzflrlNaUrgEAAABz8XgALikp0eLFixUbG6tq1f7/BWmr1aq4uDglJCRo06ZNSktL06OPPiq73a5OnTpJknr27Knw8HA9/PDD+uqrr7R27VqNHTtW8fHxxhXcJ598UocPH9aoUaN04MABzZs3T8uXL9eIESM8sl8AAAB4lsdvgVi/fr0yMzP12GOPlZmbPn26vLy8FBMTo4KCAkVFRWnevHnGvLe3t1atWqXBgwfLbrerZs2aio2N1YQJE4ya0NBQrV69WiNGjNDMmTPVqFEjvfnmmzwCDQAAwKQ8HoB79uwpp9N5wTk/Pz/NnTtXc+fOvej7mzRpok8//fSS5+jWrZv27Nnzh/oEAADAtcHjt0AAAAAAVxMBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKh4PwD/99JMGDBigevXqyd/fX61atdKXX35pzDudTiUmJqphw4by9/dXZGSkDh065LLG8ePH1b9/fwUEBCgwMFBxcXE6deqUS83XX3+tLl26yM/PTyEhIZo6depV2R8AAACqFo8G4BMnTqhz586qXr26PvvsM+3fv1/Tpk1TnTp1jJqpU6dq1qxZWrBggXbs2KGaNWsqKipK+fn5Rk3//v21b98+JScna9WqVdq6daueeOIJY97hcKhnz55q0qSJ0tLS9Morr2jcuHFauHDhVd0vAAAAPK+aJ0/+8ssvKyQkRIsXLzbGQkNDjX87nU7NmDFDY8eO1b333itJevvtt2Wz2fTRRx+pX79++vbbb7VmzRrt2rVL7du3lyTNnj1bd911l1599VUFBwdryZIlKiws1L/+9S/5+PjopptuUnp6ul577TWXoAwAAIBrn0evAH/yySdq3769+vbtqwYNGuiWW27RG2+8YcxnZGQoKytLkZGRxpjValXHjh2VkpIiSUpJSVFgYKARfiUpMjJSXl5e2rFjh1HTtWtX+fj4GDVRUVE6ePCgTpw4UaavgoICORwOlwMAAADXBo8G4MOHD2v+/Pm68cYbtXbtWg0ePFjDhg3TW2+9JUnKysqSJNlsNpf32Ww2Yy4rK0sNGjRwma9WrZrq1q3rUnOhNc4/x/mmTJkiq9VqHCEhIW7YLQAAAKoCjwbgkpIStWvXTi+++KJuueUWPfHEExo0aJAWLFjgybY0ZswY5eXlGceRI0c82g8AAADcx6MBuGHDhgoPD3cZCwsLU2ZmpiQpKChIkpSdne1Sk52dbcwFBQUpJyfHZb6oqEjHjx93qbnQGuef43y+vr4KCAhwOQAAAHBt8GgA7ty5sw4ePOgy9p///EdNmjSR9NsX4oKCgrRhwwZj3uFwaMeOHbLb7ZIku92u3NxcpaWlGTUbN25USUmJOnbsaNRs3bpV586dM2qSk5PVokULlydOAAAA4Nrn0QA8YsQIpaam6sUXX9R3332npUuXauHChYqPj5ckWSwWDR8+XJMmTdInn3yivXv3auDAgQoODtZ9990n6bcrxnfeeacGDRqknTt36osvvtCQIUPUr18/BQcHS5Ieeugh+fj4KC4uTvv27dOyZcs0c+ZMJSQkeGrrAAAA8BCPPgatQ4cOWrFihcaMGaMJEyYoNDRUM2bMUP/+/Y2aUaNG6fTp03riiSeUm5urv/zlL1qzZo38/PyMmiVLlmjIkCG6/fbb5eXlpZiYGM2aNcuYt1qtWrduneLj4xUREaHrrrtOiYmJPAINAADAhDwagCXp7rvv1t13333ReYvFogkTJmjChAkXralbt66WLl16yfO0bt1an3/++RX3CQAAgGuDx38KGQAAALiaCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFPxaAAeN26cLBaLy9GyZUtjPj8/X/Hx8apXr55q1aqlmJgYZWdnu6yRmZmp6Oho1ahRQw0aNNDIkSNVVFTkUrN582a1a9dOvr6+atasmZKSkq7G9gAAAFAFefwK8E033aSff/7ZOLZt22bMjRgxQitXrtT777+vLVu26OjRo+rTp48xX1xcrOjoaBUWFmr79u166623lJSUpMTERKMmIyND0dHR6t69u9LT0zV8+HA9/vjjWrt27VXdJwAAAKqGah5voFo1BQUFlRnPy8vTokWLtHTpUvXo0UOStHjxYoWFhSk1NVWdOnXSunXrtH//fq1fv142m01t27bVxIkTNXr0aI0bN04+Pj5asGCBQkNDNW3aNElSWFiYtm3bpunTpysqKuqq7hUAAACe5/ErwIcOHVJwcLBuuOEG9e/fX5mZmZKktLQ0nTt3TpGRkUZty5Yt1bhxY6WkpEiSUlJS1KpVK9lsNqMmKipKDodD+/btM2rOX6O0pnSNCykoKJDD4XA5AAAAcG3waADu2LGjkpKStGbNGs2fP18ZGRnq0qWLTp48qaysLPn4+CgwMNDlPTabTVlZWZKkrKwsl/BbOl86d6kah8Ohs2fPXrCvKVOmyGq1GkdISIg7tgsAAIAqoMIBuEePHsrNzS0z7nA4jFsVyqtXr17q27evWrduraioKH366afKzc3V8uXLK9qWW40ZM0Z5eXnGceTIEY/2AwAAAPepcADevHmzCgsLy4zn5+fr888//0PNBAYGqnnz5vruu+8UFBSkwsLCMmE7OzvbuGc4KCiozFMhSl9friYgIED+/v4X7MPX11cBAQEuBwAAAK4N5Q7AX3/9tb7++mtJ0v79+43XX3/9tfbs2aNFixbpT3/60x9q5tSpU/r+++/VsGFDRUREqHr16tqwYYMxf/DgQWVmZsput0uS7Ha79u7dq5ycHKMmOTlZAQEBCg8PN2rOX6O0pnQNAAAAmEu5nwLRtm1b41m9F7rVwd/fX7Nnz67QyZ955hn17t1bTZo00dGjR/XCCy/I29tbf/vb32S1WhUXF6eEhATVrVtXAQEBGjp0qOx2uzp16iRJ6tmzp8LDw/Xwww9r6tSpysrK0tixYxUfHy9fX19J0pNPPqk5c+Zo1KhReuyxx7Rx40YtX75cq1evrlCvAAAAuDaUOwBnZGTI6XTqhhtu0M6dO1W/fn1jzsfHRw0aNJC3t3eFTv7f//5Xf/vb3/Trr7+qfv36+stf/qLU1FRj7enTp8vLy0sxMTEqKChQVFSU5s2bZ7zf29tbq1at0uDBg2W321WzZk3FxsZqwoQJRk1oaKhWr16tESNGaObMmWrUqJHefPNNHoEGAABgUuUOwE2aNJEklZSUuO3k77333iXn/fz8NHfuXM2dO/eSfX366aeXXKdbt27as2fPFfUIAACAa8sV/RDGoUOHtGnTJuXk5JQJxOf/ChsAAABQ1VQ4AL/xxhsaPHiwrrvuOgUFBclisRhzFouFAAwAAIAqrcIBeNKkSZo8ebJGjx5dGf0AAAAAlarCzwE+ceKE+vbtWxm9AAAAAJWuwgG4b9++WrduXWX0AgAAAFS6Ct8C0axZMz3//PNKTU1Vq1atVL16dZf5YcOGua05AAAAwN0qHIAXLlyoWrVqacuWLdqyZYvLnMViIQADAACgSqtwAM7IyKiMPgAAAICrosL3AAMAAAD/yyp8Bfixxx675Py//vWvK24GAAAAqGwVDsAnTpxweX3u3Dl98803ys3NVY8ePdzWGAAAAFAZKhyAV6xYUWaspKREgwcPVtOmTd3SFAAAAFBZ3HIPsJeXlxISEjR9+nR3LAcAAABUGrd9Ce77779XUVGRu5YDAAAAKkWFb4FISEhwee10OvXzzz9r9erVio2NdVtjAAAAQGWocADes2ePy2svLy/Vr19f06ZNu+wTIgAAAABPq3AA3rRpU2X0AQAAAFwVFQ7ApY4dO6aDBw9Kklq0aKH69eu7rSkAAACgslT4S3CnT5/WY489poYNG6pr167q2rWrgoODFRcXpzNnzlRGjwAAAIDbVDgAJyQkaMuWLVq5cqVyc3OVm5urjz/+WFu2bNHTTz9dGT0CAAAAblPhWyD+/e9/64MPPlC3bt2Msbvuukv+/v564IEHNH/+fHf2BwAAALhVha8AnzlzRjabrcx4gwYNuAUCAAAAVV6FA7DdbtcLL7yg/Px8Y+zs2bMaP3687Ha7W5sDAAAA3K3Ct0DMnDlTUVFRatSokdq0aSNJ+uqrr+Tn56e1a9e6vUEAAADAnSocgG+++WYdOnRIS5Ys0YEDByRJf/vb39S/f3/5+/u7vUEAAADAna7oOcA1atTQoEGD3N0LAAAAUOnKfQ9wWlqaunfvLofDUWYuLy9P3bt311dffeXW5gAAAAB3K3cAnjZtmnr06KGAgIAyc1arVXfccYdeeeUVtzYHAAAAuFu5A/COHTt07733XnS+d+/e2r59u1uaAgAAACpLuQPwTz/9pNq1a190vlatWvr555/d0hQAAABQWcodgOvXr6+DBw9edP7AgQO67rrr3NIUAAAAUFnKHYAjIyM1efLkC845nU5NnjxZkZGRbmsMAAAAqAzlfgza2LFjFRERoY4dO+rpp59WixYtJP125XfatGn6z3/+o6SkpMrqEwAAAHCLcgfgpk2bav369XrkkUfUr18/WSwWSb9d/Q0PD1dycrKaNWtWaY0CAAAA7lChH8Jo3769vvnmG6Wnp+vQoUNyOp1q3ry52rZtW0ntAQAAAO51Rb8E17ZtW0IvAAAA/ieV+0twAAAAwLWAAAwAAABTIQADAADAVAjAAAAAMJUrCsCff/65BgwYILvdrp9++kmS9M4772jbtm1ubQ4AAABwtwoH4H//+9+KioqSv7+/9uzZo4KCAklSXl6eXnzxRbc3CAAAALhThQPwpEmTtGDBAr3xxhuqXr26Md65c2ft3r3brc0BAAAA7lbhAHzw4EF17dq1zLjValVubq47egIAAAAqTYUDcFBQkL777rsy49u2bdMNN9xwxY289NJLslgsGj58uDGWn5+v+Ph41atXT7Vq1VJMTIyys7Nd3peZmano6GjVqFFDDRo00MiRI1VUVORSs3nzZrVr106+vr5q1qyZkpKSrrhPAAAA/G+rcAAeNGiQ/vGPf2jHjh2yWCw6evSolixZomeeeUaDBw++oiZ27dql119/Xa1bt3YZHzFihFauXKn3339fW7Zs0dGjR9WnTx9jvri4WNHR0SosLNT27dv11ltvKSkpSYmJiUZNRkaGoqOj1b17d6Wnp2v48OF6/PHHtXbt2ivqFQAAAP/bKvxTyM8++6xKSkp0++2368yZM+ratat8fX31zDPPaOjQoRVu4NSpU+rfv7/eeOMNTZo0yRjPy8vTokWLtHTpUvXo0UOStHjxYoWFhSk1NVWdOnXSunXrtH//fq1fv142m01t27bVxIkTNXr0aI0bN04+Pj5asGCBQkNDNW3aNElSWFiYtm3bpunTpysqKqrC/QIAAOB/W4WvAFssFj333HM6fvy4vvnmG6WmpurYsWOaOHHiFTUQHx+v6OhoRUZGuoynpaXp3LlzLuMtW7ZU48aNlZKSIklKSUlRq1atZLPZjJqoqCg5HA7t27fPqPn92lFRUcYaF1JQUCCHw+FyAAAA4NpQ4SvApXx8fBQeHv6HTv7ee+9p9+7d2rVrV5m5rKws+fj4KDAw0GXcZrMpKyvLqDk//JbOl85dqsbhcOjs2bPy9/cvc+4pU6Zo/PjxV7wvAAAAVF0VDsB//etfZbFYyoxbLBb5+fmpWbNmeuihh9SiRYtLrnPkyBH94x//UHJysvz8/CraRqUaM2aMEhISjNcOh0MhISEe7AgAAADuUuFbIKxWqzZu3Kjdu3fLYrHIYrFoz5492rhxo4qKirRs2TK1adNGX3zxxSXXSUtLU05Ojtq1a6dq1aqpWrVq2rJli2bNmqVq1arJZrOpsLCwzKPVsrOzFRQUJOm3J1L8/qkQpa8vVxMQEHDBq7+S5Ovrq4CAAJcDAAAA14YregzaQw89pMOHD+vf//63/v3vf+v777/XgAED1LRpU3377beKjY3V6NGjL7nO7bffrr179yo9Pd042rdvr/79+xv/rl69ujZs2GC85+DBg8rMzJTdbpck2e127d27Vzk5OUZNcnKyAgICjNsz7Ha7yxqlNaVrAAAAwFwqfAvEokWL9MUXX8jL6/9nZy8vLw0dOlS33nqrXnzxRQ0ZMkRdunS55Dq1a9fWzTff7DJWs2ZN1atXzxiPi4tTQkKC6tatq4CAAA0dOlR2u12dOnWSJPXs2VPh4eF6+OGHNXXqVGVlZWns2LGKj4+Xr6+vJOnJJ5/UnDlzNGrUKD322GPauHGjli9frtWrV1d06wAAALgGVPgKcFFRkQ4cOFBm/MCBAyouLpYk+fn5XfA+4YqaPn267r77bsXExKhr164KCgrShx9+aMx7e3tr1apV8vb2lt1u14ABAzRw4EBNmDDBqAkNDdXq1auVnJysNm3aaNq0aXrzzTd5BBoAAIBJVfgK8MMPP6y4uDj985//VIcOHST99kMWL774ogYOHChJ2rJli2666aYKN7N582aX135+fpo7d67mzp170fc0adJEn3766SXX7datm/bs2VPhfgAAAHDtqXAAnj59umw2m6ZOnWp8ucxms2nEiBHGfb89e/bUnXfe6d5OAQAAADeocAD29vbWc889p+eee874gYjfPyWhcePG7ukOAAAAcLMr/iEMqWzwBQAAAKq6KwrAH3zwgZYvX67MzEwVFha6zO3evdstjQEAAACVocJPgZg1a5YeffRR2Ww27dmzR3/+859Vr149HT58WL169aqMHgEAAAC3qXAAnjdvnhYuXKjZs2fLx8dHo0aNUnJysoYNG6a8vLzK6BEAAABwmwoH4MzMTN16662SJH9/f508eVLSb49H+7//+z/3dgcAAAC42RX9FPLx48cl/fa0h9TUVElSRkaGnE6ne7sDAAAA3KzCAbhHjx765JNPJEmPPvqoRowYoTvuuEMPPvig/vrXv7q9QQAAAMCdKvwUiIULF6qkpESSFB8fr3r16mn79u2655579Pe//93tDQIAAADuVOEA7OXlJS+v/3/huF+/furXr59bmwIAAAAqyxU9Bzg/P19ff/21cnJyjKvBpe655x63NAYAAABUhgoH4DVr1mjgwIH65ZdfysxZLBYVFxe7pTEAAACgMlT4S3BDhw5V37599fPPP6ukpMTlIPwCAACgqqtwAM7OzlZCQoJsNltl9AMAAABUqgoH4Pvvv1+bN2+uhFYAAACAylfhe4DnzJmjvn376vPPP1erVq1UvXp1l/lhw4a5rTkAAADA3SocgP/v//5P69atk5+fnzZv3iyLxWLMWSwWAjAAAACqtAoH4Oeee07jx4/Xs88+6/I8YAAAAOB/QYUTbGFhoR588EHCLwAAAP4nVTjFxsbGatmyZZXRCwAAAFDpKnwLRHFxsaZOnaq1a9eqdevWZb4E99prr7mtOQAAAMDdKhyA9+7dq1tuuUWS9M0337jMnf+FOAAAAKAqqnAA3rRpU2X0AQAAAFwVfJMNAAAAplLuK8B9+vQpV92HH354xc0AAAAAla3cAdhqtVZmHwAAAMBVUe4AvHjx4srsAwAAALgquAcYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYikcD8Pz589W6dWsFBAQoICBAdrtdn332mTGfn5+v+Ph41atXT7Vq1VJMTIyys7Nd1sjMzFR0dLRq1KihBg0aaOTIkSoqKnKp2bx5s9q1aydfX181a9ZMSUlJV2N7AAAAqII8GoAbNWqkl156SWlpafryyy/Vo0cP3Xvvvdq3b58kacSIEVq5cqXef/99bdmyRUePHlWfPn2M9xcXFys6OlqFhYXavn273nrrLSUlJSkxMdGoycjIUHR0tLp376709HQNHz5cjz/+uNauXXvV9wsAAADPq+bJk/fu3dvl9eTJkzV//nylpqaqUaNGWrRokZYuXaoePXpIkhYvXqywsDClpqaqU6dOWrdunfbv36/169fLZrOpbdu2mjhxokaPHq1x48bJx8dHCxYsUGhoqKZNmyZJCgsL07Zt2zR9+nRFRUVd9T0DAADAs6rMPcDFxcV67733dPr0adntdqWlpencuXOKjIw0alq2bKnGjRsrJSVFkpSSkqJWrVrJZrMZNVFRUXI4HMZV5JSUFJc1SmtK17iQgoICORwOlwMAAADXBo8H4L1796pWrVry9fXVk08+qRUrVig8PFxZWVny8fFRYGCgS73NZlNWVpYkKSsryyX8ls6Xzl2qxuFw6OzZsxfsacqUKbJarcYREhLijq0CAACgCvB4AG7RooXS09O1Y8cODR48WLGxsdq/f79HexozZozy8vKM48iRIx7tBwAAAO7j0XuAJcnHx0fNmjWTJEVERGjXrl2aOXOmHnzwQRUWFio3N9flKnB2draCgoIkSUFBQdq5c6fLeqVPiTi/5vdPjsjOzlZAQID8/f0v2JOvr698fX3dsj8AAABULR6/Avx7JSUlKigoUEREhKpXr64NGzYYcwcPHlRmZqbsdrskyW63a+/evcrJyTFqkpOTFRAQoPDwcKPm/DVKa0rXAAAAgLl49ArwmDFj1KtXLzVu3FgnT57U0qVLtXnzZq1du1ZWq1VxcXFKSEhQ3bp1FRAQoKFDh8put6tTp06SpJ49eyo8PFwPP/ywpk6dqqysLI0dO1bx8fHGFdwnn3xSc+bM0ahRo/TYY49p48aNWr58uVavXu3JrQMAAMBDPBqAc3JyNHDgQP3888+yWq1q3bq11q5dqzvuuEOSNH36dHl5eSkmJkYFBQWKiorSvHnzjPd7e3tr1apVGjx4sOx2u2rWrKnY2FhNmDDBqAkNDdXq1as1YsQIzZw5U40aNdKbb77JI9AAAABMyqMBeNGiRZec9/Pz09y5czV37tyL1jRp0kSffvrpJdfp1q2b9uzZc0U9AgAA4NpS5e4BBgAAACoTARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoeDcBTpkxRhw4dVLt2bTVo0ED33XefDh486FKTn5+v+Ph41atXT7Vq1VJMTIyys7NdajIzMxUdHa0aNWqoQYMGGjlypIqKilxqNm/erHbt2snX11fNmjVTUlJSZW8PAAAAVZBHA/CWLVsUHx+v1NRUJScn69y5c+rZs6dOnz5t1IwYMUIrV67U+++/ry1btujo0aPq06ePMV9cXKzo6GgVFhZq+/bteuutt5SUlKTExESjJiMjQ9HR0erevbvS09M1fPhwPf7441q7du1V3S8AAAA8r5onT75mzRqX10lJSWrQoIHS0tLUtWtX5eXladGiRVq6dKl69OghSVq8eLHCwsKUmpqqTp06ad26ddq/f7/Wr18vm82mtm3bauLEiRo9erTGjRsnHx8fLViwQKGhoZo2bZokKSwsTNu2bdP06dMVFRV11fcNAAAAz6lS9wDn5eVJkurWrStJSktL07lz5xQZGWnUtGzZUo0bN1ZKSookKSUlRa1atZLNZjNqoqKi5HA4tG/fPqPm/DVKa0rX+L2CggI5HA6XAwAAANeGKhOAS0pKNHz4cHXu3Fk333yzJCkrK0s+Pj4KDAx0qbXZbMrKyjJqzg+/pfOlc5eqcTgcOnv2bJlepkyZIqvVahwhISFu2SMAAAA8r8oE4Pj4eH3zzTd67733PN2KxowZo7y8POM4cuSIp1sCAACAm3j0HuBSQ4YM0apVq7R161Y1atTIGA8KClJhYaFyc3NdrgJnZ2crKCjIqNm5c6fLeqVPiTi/5vdPjsjOzlZAQID8/f3L9OPr6ytfX1+37A0AAABVi0evADudTg0ZMkQrVqzQxo0bFRoa6jIfERGh6tWra8OGDcbYwYMHlZmZKbvdLkmy2+3au3evcnJyjJrk5GQFBAQoPDzcqDl/jdKa0jUAAABgHh69AhwfH6+lS5fq448/Vu3atY17dq1Wq/z9/WW1WhUXF6eEhATVrVtXAQEBGjp0qOx2uzp16iRJ6tmzp8LDw/Xwww9r6tSpysrK0tixYxUfH29cxX3yySc1Z84cjRo1So899pg2btyo5cuXa/Xq1R7bOwAAADzDo1eA58+fr7y8PHXr1k0NGzY0jmXLlhk106dP1913362YmBh17dpVQUFB+vDDD415b29vrVq1St7e3rLb7RowYIAGDhyoCRMmGDWhoaFavXq1kpOT1aZNG02bNk1vvvkmj0ADAAAwIY9eAXY6nZet8fPz09y5czV37tyL1jRp0kSffvrpJdfp1q2b9uzZU+EeAQAAcG2pMk+BAAAAAK4GAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQ8GoC3bt2q3r17Kzg4WBaLRR999JHLvNPpVGJioho2bCh/f39FRkbq0KFDLjXHjx9X//79FRAQoMDAQMXFxenUqVMuNV9//bW6dOkiPz8/hYSEaOrUqZW9NQAAAFRRHg3Ap0+fVps2bTR37twLzk+dOlWzZs3SggULtGPHDtWsWVNRUVHKz883avr37699+/YpOTlZq1at0tatW/XEE08Y8w6HQz179lSTJk2UlpamV155RePGjdPChQsrfX8AAACoeqp58uS9evVSr169LjjndDo1Y8YMjR07Vvfee68k6e2335bNZtNHH32kfv366dtvv9WaNWu0a9cutW/fXpI0e/Zs3XXXXXr11VcVHBysJUuWqLCwUP/617/k4+Ojm266Senp6XrttddcgjIAAADMocreA5yRkaGsrCxFRkYaY1arVR07dlRKSookKSUlRYGBgUb4laTIyEh5eXlpx44dRk3Xrl3l4+Nj1ERFRengwYM6ceLEBc9dUFAgh8PhcgAAAODaUGUDcFZWliTJZrO5jNtsNmMuKytLDRo0cJmvVq2a6tat61JzoTXOP8fvTZkyRVar1ThCQkL++IYAAABQJVTZAOxJY8aMUV5ennEcOXLE0y0BAADATapsAA4KCpIkZWdnu4xnZ2cbc0FBQcrJyXGZLyoq0vHjx11qLrTG+ef4PV9fXwUEBLgcAAAAuDZU2QAcGhqqoKAgbdiwwRhzOBzasWOH7Ha7JMlutys3N1dpaWlGzcaNG1VSUqKOHTsaNVu3btW5c+eMmuTkZLVo0UJ16tS5SrsBAABAVeHRAHzq1Cmlp6crPT1d0m9ffEtPT1dmZqYsFouGDx+uSZMm6ZNPPtHevXs1cOBABQcH67777pMkhYWF6c4779SgQYO0c+dOffHFFxoyZIj69eun4OBgSdJDDz0kHx8fxcXFad++fVq2bJlmzpyphIQED+0aAAAAnuTRx6B9+eWX6t69u/G6NJTGxsYqKSlJo0aN0unTp/XEE08oNzdXf/nLX7RmzRr5+fkZ71myZImGDBmi22+/XV5eXoqJidGsWbOMeavVqnXr1ik+Pl4RERG67rrrlJiYyCPQAAAATMqjAbhbt25yOp0XnbdYLJowYYImTJhw0Zq6detq6dKllzxP69at9fnnn19xnwAAALh2VNl7gAEAAIDKQAAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJiKqQLw3Llzdf3118vPz08dO3bUzp07Pd0SAAAArjLTBOBly5YpISFBL7zwgnbv3q02bdooKipKOTk5nm4NAAAAV5FpAvBrr72mQYMG6dFHH1V4eLgWLFigGjVq6F//+penWwMAAMBVVM3TDVwNhYWFSktL05gxY4wxLy8vRUZGKiUlpUx9QUGBCgoKjNd5eXmSJIfDUaHzFhecvcKO4W4V/eyuxMn84ko/B8rnanzeRWeLKv0cKJ+r8XmfLuLzriquxud9tuBMpZ8D5VORz7u01ul0XrbWFAH4l19+UXFxsWw2m8u4zWbTgQMHytRPmTJF48ePLzMeEhJSaT2icllnP+npFnA1TbF6ugNcRdbRfN6mYuXzNpNRcyv+npMnT8p6mf+emCIAV9SYMWOUkJBgvC4pKdHx48dVr149WSwWD3Z2dTkcDoWEhOjIkSMKCAjwdDuoZHze5sLnbS583uZi1s/b6XTq5MmTCg4OvmytKQLwddddJ29vb2VnZ7uMZ2dnKygoqEy9r6+vfH19XcYCAwMrs8UqLSAgwFT/B2R2fN7mwudtLnze5mLGz/tyV35LmeJLcD4+PoqIiNCGDRuMsZKSEm3YsEF2u92DnQEAAOBqM8UVYElKSEhQbGys2rdvrz//+c+aMWOGTp8+rUcffdTTrQEAAOAqMk0AfvDBB3Xs2DElJiYqKytLbdu21Zo1a8p8MQ7/n6+vr1544YUyt4Pg2sTnbS583ubC520ufN6XZ3GW51kRAAAAwDXCFPcAAwAAAKUIwAAAADAVAjAAAABMhQAMAAAAUyEA46Lmzp2r66+/Xn5+furYsaN27tzp6ZZQSbZu3arevXsrODhYFotFH330kadbQiWZMmWKOnTooNq1a6tBgwa67777dPDgQU+3hUoyf/58tW7d2vhBBLvdrs8++8zTbeEqeemll2SxWDR8+HBPt1LlEIBxQcuWLVNCQoJeeOEF7d69W23atFFUVJRycnI83RoqwenTp9WmTRvNnXsFP7qO/ylbtmxRfHy8UlNTlZycrHPnzqlnz546ffq0p1tDJWjUqJFeeuklpaWl6csvv1SPHj107733at++fZ5uDZVs165dev3119W6dWtPt1Il8Rg0XFDHjh3VoUMHzZkzR9Jvv5wXEhKioUOH6tlnn/Vwd6hMFotFK1as0H333efpVnAVHDt2TA0aNNCWLVvUtWtXT7eDq6Bu3bp65ZVXFBcX5+lWUElOnTqldu3aad68eZo0aZLatm2rGTNmeLqtKoUrwCijsLBQaWlpioyMNMa8vLwUGRmplJQUD3YGwN3y8vIk/RaKcG0rLi7We++9p9OnT8tut3u6HVSi+Ph4RUdHu/zvOFyZ5pfgUH6//PKLiouLy/xKns1m04EDBzzUFQB3Kykp0fDhw9W5c2fdfPPNnm4HlWTv3r2y2+3Kz89XrVq1tGLFCoWHh3u6LVSS9957T7t379auXbs83UqVRgAGAJOKj4/XN998o23btnm6FVSiFi1aKD09XXl5efrggw8UGxurLVu2EIKvQUeOHNE//vEPJScny8/Pz9PtVGkEYJRx3XXXydvbW9nZ2S7j2dnZCgoK8lBXANxpyJAhWrVqlbZu3apGjRp5uh1UIh8fHzVr1kySFBERoV27dmnmzJl6/fXXPdwZ3C0tLU05OTlq166dMVZcXKytW7dqzpw5KigokLe3twc7rDq4Bxhl+Pj4KCIiQhs2bDDGSkpKtGHDBu4bA/7HOZ1ODRkyRCtWrNDGjRsVGhrq6ZZwlZWUlKigoMDTbaAS3H777dq7d6/S09ONo3379urfv7/S09MJv+fhCjAuKCEhQbGxsWrfvr3+/Oc/a8aMGTp9+rQeffRRT7eGSnDq1Cl99913xuuMjAylp6erbt26aty4sQc7g7vFx8dr6dKl+vjjj1W7dm1lZWVJkqxWq/z9/T3cHdxtzJgx6tWrlxo3bqyTJ09q6dKl2rx5s9auXevp1lAJateuXeZ+/po1a6pevXrc5/87BGBc0IMPPqhjx44pMTFRWVlZatu2rdasWVPmi3G4Nnz55Zfq3r278TohIUGSFBsbq6SkJA91hcowf/58SVK3bt1cxhcvXqxHHnnk6jeESpWTk6OBAwfq559/ltVqVevWrbV27Vrdcccdnm4N8CieAwwAAABT4R5gAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAPAgi8Wijz76yNNtXJFx48apbdu2f2iNH374QRaLRenp6W7pCQDKgwAMAJUkKytLQ4cO1Q033CBfX1+FhISod+/e2rBhg6dbk/TbzyEPHz7c020AwFVXzdMNAMC16IcfflDnzp0VGBioV155Ra1atdK5c+e0du1axcfH68CBA55uEQBMiyvAAFAJnnrqKVksFu3cuVMxMTFq3ry5brrpJiUkJCg1NfWi7xs9erSaN2+uGjVq6IYbbtDzzz+vc+fOGfNfffWVunfvrtq1aysgIEARERH68ssvJUk//vijevfurTp16qhmzZq66aab9Omnn17xHi7XS6nXX39dISEhqlGjhh544AHl5eW5zL/55psKCwuTn5+fWrZsqXnz5l30nCdOnFD//v1Vv359+fv768Ybb9TixYuveA8AcCFcAQYANzt+/LjWrFmjyZMnq2bNmmXmAwMDL/re2rVrKykpScHBwdq7d68GDRqk2rVra9SoUZKk/v3765ZbbtH8+fPl7e2t9PR0Va9eXZIUHx+vwsJCbd26VTVr1tT+/ftVq1atK97H5XqRpO+++07Lly/XypUr5XA4FBcXp6eeekpLliyRJC1ZskSJiYmaM2eObrnlFu3Zs0eDBg1SzZo1FRsbW+aczz//vPbv36/PPvtM1113nb777judPXv2ivcAABdCAAYAN/vuu+/kdDrVsmXLCr937Nixxr+vv/56PfPMM3rvvfeM0JmZmamRI0caa994441GfWZmpmJiYtSqVStJ0g033PBHtnHZXiQpPz9fb7/9tv70pz9JkmbPnq3o6GhNmzZNQUFBeuGFFzRt2jT16dNHkhQaGqr9+/fr9ddfv2AAzszM1C233KL27dsb5wUAdyMAA4CbOZ3OK37vsmXLNGvWLH3//fc6deqUioqKFBAQYMwnJCTo8ccf1zvvvKPIyEj17dtXTZs2lSQNGzZMgwcP1rp16xQZGamYmBi1bt260nqRpMaNGxvhV5LsdrtKSkp08OBB1a5dW99//73i4uI0aNAgo6aoqEhWq/WC5xw8eLBiYmK0e/du9ezZU/fdd59uvfXWK94DAFwI9wADgJvdeOONslgsFf6iW0pKivr376+77rpLq1at0p49e/Tcc8+psLDQqBk3bpz27dun6Ohobdy4UeHh4VqxYoUk6fHHH9fhw4f18MMPa+/evWrfvr1mz559RXsoTy+Xc+rUKUnSG2+8ofT0dOP45ptvLnofdK9evfTjjz9qxIgROnr0qG6//XY988wzV7QHALgYAjAAuFndunUVFRWluXPn6vTp02Xmc3NzL/i+7du3q0mTJnruuefUvn173Xjjjfrxxx/L1DVv3lwjRozQunXr1KdPH5cviYWEhOjJJ5/Uhx9+qKefflpvvPHGFe2hvL1kZmbq6NGjxuvU1FR5eXmpRYsWstlsCg4O1uHDh9WsWTOXIzQ09KLnrl+/vmJjY/Xuu+9qxowZWrhw4RXtAQAuhlsgAKASzJ07V507d9af//xnTZgwQa1bt1ZRUZGSk5M1f/58ffvtt2Xec+ONNyozM1PvvfeeOnTooNWrVxtXdyXp7NmzGjlypO6//36Fhobqv//9r3bt2qWYmBhJ0vDhw9WrVy81b95cJ06c0KZNmxQWFnbJPo8dO1bmRygaNmx42V5K+fn5KTY2Vq+++qocDoeGDRumBx54QEFBQZKk8ePHa9iwYbJarbrzzjtVUFCgL7/8UidOnFBCQkKZ9RITExUREaGbbrpJBQUFWrVq1WX3AAAV5gQAVIqjR4864+PjnU2aNHH6+Pg4//SnPznvuece56ZNm4waSc4VK1YYr0eOHOmsV6+es1atWs4HH3zQOX36dKfVanU6nU5nQUGBs1+/fs6QkBCnj4+PMzg42DlkyBDn2bNnnU6n0zlkyBBn06ZNnb6+vs769es7H374Yecvv/xy0f5uu+02p6Qyx8SJEy/bi9PpdL7wwgvONm3aOOfNm+cMDg52+vn5Oe+//37n8ePHXc6zZMkSZ9u2bZ0+Pj7OOnXqOLt27er88MMPnU6n05mRkeGU5NyzZ4/T6XQ6J06c6AwLC3P6+/s769at67z33nudhw8fvsJPAAAuzOJ0/oFvawAAAAD/Y7gHGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKv8PkjKDL30XOswAAAAASUVORK5CYII="},"metadata":{}}]},{"cell_type":"code","source":"import gc # calling garbage collector to reduce memory utilization\n\ndel train_dataset\n\ngc.collect()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:29:57.750205Z","iopub.execute_input":"2024-06-09T08:29:57.750611Z","iopub.status.idle":"2024-06-09T08:29:57.954174Z","shell.execute_reply.started":"2024-06-09T08:29:57.750556Z","shell.execute_reply":"2024-06-09T08:29:57.953014Z"},"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"4061"},"metadata":{}}]},{"cell_type":"code","source":"import numpy as np\nimport tensorflow as tf\nfrom tensorflow import keras\n\n# Load the dataset\ndataset = keras.utils.image_dataset_from_directory(\n \"/kaggle/input/pathogen-dataset/pathogen\",\n image_size=(192, 192),\n batch_size=32\n)\n\n# Normalize the dataset\nnormalization_layer = keras.layers.Rescaling(1./255)\nnormalized_dataset = dataset.map(lambda x, y: (normalization_layer(x), y))\n\n# Initialize lists to store images and labels by class\nclass_images = [[] for _ in range(5)]\n\n# Group images by class\nfor images, labels in normalized_dataset:\n for image, label in zip(images, labels):\n class_images[label.numpy()].append(image.numpy())\n\n# Sample 1000 images from each class\nsampled_images = []\nsampled_labels = []\nfor class_index, images in enumerate(class_images):\n sampled_indices = np.random.choice(len(images), 1000, replace=False)\n for index in sampled_indices:\n sampled_images.append(images[index])\n sampled_labels.append(class_index)\n\n# Convert lists to arrays\nsampled_images = np.array(sampled_images)\nsampled_labels = np.array(sampled_labels)\n\n# Convert labels to probability distributions\nsampled_labels = keras.utils.to_categorical(sampled_labels, 5)\n\n# Verify the shapes of the arrays\nprint(f'Images shape: {sampled_images.shape}')\nprint(f'Labels shape: {sampled_labels.shape}')","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:25:31.603754Z","iopub.execute_input":"2024-06-09T09:25:31.604995Z","iopub.status.idle":"2024-06-09T09:27:09.500190Z","shell.execute_reply.started":"2024-06-09T09:25:31.604936Z","shell.execute_reply":"2024-06-09T09:27:09.499038Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"Found 39997 files belonging to 5 classes.\nImages shape: (5000, 192, 192, 3)\nLabels shape: (5000, 5)\n","output_type":"stream"}]},{"cell_type":"code","source":"import gc # calling garbage collector to reduce memory utilization\n\ndel normalized_dataset\ndel dataset\n\ngc.collect()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:27:09.501600Z","iopub.execute_input":"2024-06-09T09:27:09.501927Z","iopub.status.idle":"2024-06-09T09:27:09.698394Z","shell.execute_reply.started":"2024-06-09T09:27:09.501898Z","shell.execute_reply":"2024-06-09T09:27:09.697388Z"},"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"264"},"metadata":{}}]},{"cell_type":"code","source":"# Split the data\nfrom sklearn.model_selection import train_test_split\nx_train, x_temp, y_train, y_temp = train_test_split(sampled_images, sampled_labels, test_size=0.3,random_state=42)\nx_test, x_val, y_test, y_val = train_test_split(x_temp, y_temp, test_size=0.5,random_state=42)\n\nprint(\"x_train:\", x_train.shape)\nprint(\"y_train:\", y_train.shape)\nprint(\"x_test:\", x_test.shape)\nprint(\"y_test:\", y_test.shape)\nprint(\"x_val:\", x_val.shape)\nprint(\"y_val:\", y_val.shape)","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:27:09.700363Z","iopub.execute_input":"2024-06-09T09:27:09.700671Z","iopub.status.idle":"2024-06-09T09:27:11.463618Z","shell.execute_reply.started":"2024-06-09T09:27:09.700644Z","shell.execute_reply":"2024-06-09T09:27:11.462452Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stdout","text":"x_train: (3500, 192, 192, 3)\ny_train: (3500, 5)\nx_test: (750, 192, 192, 3)\ny_test: (750, 5)\nx_val: (750, 192, 192, 3)\ny_val: (750, 5)\n","output_type":"stream"}]},{"cell_type":"code","source":"from keras import mixed_precision # changing precision policies\nmixed_precision.set_global_policy('mixed_float16')","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:27:11.464776Z","iopub.execute_input":"2024-06-09T09:27:11.465081Z","iopub.status.idle":"2024-06-09T09:27:11.469576Z","shell.execute_reply.started":"2024-06-09T09:27:11.465055Z","shell.execute_reply":"2024-06-09T09:27:11.468392Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"import tensorflow as tf\n\ntf.config.optimizer.set_jit(True) # setting optimizer to reduce model computation by optimizing graph-computations","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:27:11.470855Z","iopub.execute_input":"2024-06-09T09:27:11.471236Z","iopub.status.idle":"2024-06-09T09:27:11.482990Z","shell.execute_reply.started":"2024-06-09T09:27:11.471203Z","shell.execute_reply":"2024-06-09T09:27:11.482199Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":"### VGG16","metadata":{}},{"cell_type":"code","source":"from keras.applications import VGG16\nfrom keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau\n\n# Loading model\nvgg16_model = VGG16(weights='imagenet', include_top=False, input_shape=(192, 192, 3))\nfeature_extractor = Model(inputs=vgg16_model.input, outputs=vgg16_model.get_layer('block4_pool').output)\n\n# Freezing convolutional layers\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\n# Adding dense layers on top\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\n# binding model\nmodel = Model(inputs=feature_extractor.input, outputs=output)\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(mode='min', monitor='val_loss', factor=0.1, patience=5, min_lr=0.00000001, verbose=1)\n\nmodel.summary() # printing summary of model","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:43:19.025722Z","iopub.execute_input":"2024-06-09T08:43:19.026238Z","iopub.status.idle":"2024-06-09T08:43:19.810506Z","shell.execute_reply.started":"2024-06-09T08:43:19.026204Z","shell.execute_reply":"2024-06-09T08:43:19.809593Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n\u001b[1m58889256/58889256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_3\"\u001b[0m\n","text/html":"
Model: \"functional_3\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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 (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\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;34m192\u001b[0m, \u001b[38;5;34m192\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;34m192\u001b[0m, \u001b[38;5;34m192\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;34m96\u001b[0m, \u001b[38;5;34m96\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;34m96\u001b[0m, \u001b[38;5;34m96\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;34m96\u001b[0m, \u001b[38;5;34m96\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ global_average_pooling2d │ (\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 (\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_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ input_layer (InputLayer)        │ (None, 192, 192, 3)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv1 (Conv2D)           │ (None, 192, 192, 64)   │         1,792 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_conv2 (Conv2D)           │ (None, 192, 192, 64)   │        36,928 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block1_pool (MaxPooling2D)      │ (None, 96, 96, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv1 (Conv2D)           │ (None, 96, 96, 128)    │        73,856 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_conv2 (Conv2D)           │ (None, 96, 96, 128)    │       147,584 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block2_pool (MaxPooling2D)      │ (None, 48, 48, 128)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv1 (Conv2D)           │ (None, 48, 48, 256)    │       295,168 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv2 (Conv2D)           │ (None, 48, 48, 256)    │       590,080 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_conv3 (Conv2D)           │ (None, 48, 48, 256)    │       590,080 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block3_pool (MaxPooling2D)      │ (None, 24, 24, 256)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv1 (Conv2D)           │ (None, 24, 24, 512)    │     1,180,160 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv2 (Conv2D)           │ (None, 24, 24, 512)    │     2,359,808 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_conv3 (Conv2D)           │ (None, 24, 24, 512)    │     2,359,808 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ block4_pool (MaxPooling2D)      │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ global_average_pooling2d        │ (None, 512)            │             0 │\n│ (GlobalAveragePooling2D)        │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense (Dense)                   │ (None, 1024)           │       525,312 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_1 (Dense)                 │ (None, 5)              │         5,125 │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,165,701\u001b[0m (31.15 MB)\n","text/html":"
 Total params: 8,165,701 (31.15 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m530,437\u001b[0m (2.02 MB)\n","text/html":"
 Trainable params: 530,437 (2.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m7,635,264\u001b[0m (29.13 MB)\n","text/html":"
 Non-trainable params: 7,635,264 (29.13 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[reduce_lr,model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:43:23.525604Z","iopub.execute_input":"2024-06-09T08:43:23.526017Z","iopub.status.idle":"2024-06-09T08:45:39.543391Z","shell.execute_reply.started":"2024-06-09T08:43:23.525971Z","shell.execute_reply":"2024-06-09T08:45:39.542473Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m 5/88\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m3s\u001b[0m 39ms/step - accuracy: 0.3298 - loss: 2.1471","output_type":"stream"},{"name":"stderr","text":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1717922626.856881 465 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 148ms/step - accuracy: 0.6196 - loss: 1.1921\nEpoch 1: val_accuracy improved from -inf to 0.89333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m47s\u001b[0m 316ms/step - accuracy: 0.6213 - loss: 1.1865 - val_accuracy: 0.8933 - val_loss: 0.3248 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9025 - loss: 0.2993\nEpoch 2: val_accuracy improved from 0.89333 to 0.93067, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9026 - loss: 0.2990 - val_accuracy: 0.9307 - val_loss: 0.2464 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9400 - loss: 0.1993\nEpoch 3: val_accuracy did not improve from 0.93067\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9399 - loss: 0.1993 - val_accuracy: 0.9240 - val_loss: 0.2199 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9417 - loss: 0.1752\nEpoch 4: val_accuracy improved from 0.93067 to 0.93467, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9417 - loss: 0.1752 - val_accuracy: 0.9347 - val_loss: 0.1825 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9543 - loss: 0.1390\nEpoch 5: val_accuracy improved from 0.93467 to 0.94400, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 52ms/step - accuracy: 0.9543 - loss: 0.1391 - val_accuracy: 0.9440 - val_loss: 0.2028 - learning_rate: 0.0010\nEpoch 6/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9513 - loss: 0.1412\nEpoch 6: val_accuracy improved from 0.94400 to 0.95333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9514 - loss: 0.1408 - val_accuracy: 0.9533 - val_loss: 0.1832 - learning_rate: 0.0010\nEpoch 7/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9673 - loss: 0.1075\nEpoch 7: val_accuracy improved from 0.95333 to 0.95733, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9672 - loss: 0.1075 - val_accuracy: 0.9573 - val_loss: 0.1512 - learning_rate: 0.0010\nEpoch 8/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9709 - loss: 0.0882\nEpoch 8: val_accuracy did not improve from 0.95733\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9708 - loss: 0.0884 - val_accuracy: 0.9413 - val_loss: 0.2220 - learning_rate: 0.0010\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9699 - loss: 0.0955\nEpoch 9: val_accuracy did not improve from 0.95733\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9700 - loss: 0.0954 - val_accuracy: 0.9533 - val_loss: 0.1582 - learning_rate: 0.0010\nEpoch 10/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9794 - loss: 0.0605\nEpoch 10: val_accuracy improved from 0.95733 to 0.96667, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9795 - loss: 0.0604 - val_accuracy: 0.9667 - val_loss: 0.1240 - learning_rate: 0.0010\nEpoch 11/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9784 - loss: 0.0718\nEpoch 11: val_accuracy did not improve from 0.96667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 55ms/step - accuracy: 0.9783 - loss: 0.0720 - val_accuracy: 0.9573 - val_loss: 0.1280 - learning_rate: 0.0010\nEpoch 12/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9895 - loss: 0.0446\nEpoch 12: val_accuracy did not improve from 0.96667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9895 - loss: 0.0446 - val_accuracy: 0.9533 - val_loss: 0.1586 - learning_rate: 0.0010\nEpoch 13/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9902 - loss: 0.0427\nEpoch 13: val_accuracy did not improve from 0.96667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9901 - loss: 0.0430 - val_accuracy: 0.9507 - val_loss: 0.1576 - learning_rate: 0.0010\nEpoch 14/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9847 - loss: 0.0444\nEpoch 14: val_accuracy did not improve from 0.96667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 50ms/step - accuracy: 0.9848 - loss: 0.0443 - val_accuracy: 0.9600 - val_loss: 0.1800 - learning_rate: 0.0010\nEpoch 15/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9805 - loss: 0.0586\nEpoch 15: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 15: val_accuracy did not improve from 0.96667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9806 - loss: 0.0584 - val_accuracy: 0.9587 - val_loss: 0.1522 - learning_rate: 0.0010\nEpoch 16/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9946 - loss: 0.0242\nEpoch 16: val_accuracy improved from 0.96667 to 0.97200, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 52ms/step - accuracy: 0.9947 - loss: 0.0241 - val_accuracy: 0.9720 - val_loss: 0.1099 - learning_rate: 1.0000e-04\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9987 - loss: 0.0129\nEpoch 17: val_accuracy did not improve from 0.97200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9987 - loss: 0.0129 - val_accuracy: 0.9680 - val_loss: 0.1100 - learning_rate: 1.0000e-04\nEpoch 18/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9992 - loss: 0.0133\nEpoch 18: val_accuracy did not improve from 0.97200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9992 - loss: 0.0133 - val_accuracy: 0.9680 - val_loss: 0.1134 - learning_rate: 1.0000e-04\nEpoch 19/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 40ms/step - accuracy: 0.9983 - loss: 0.0154\nEpoch 19: val_accuracy did not improve from 0.97200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - accuracy: 0.9983 - loss: 0.0154 - val_accuracy: 0.9707 - val_loss: 0.1101 - learning_rate: 1.0000e-04\nEpoch 20/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 41ms/step - accuracy: 0.9983 - loss: 0.0121\nEpoch 20: val_accuracy did not improve from 0.97200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 55ms/step - accuracy: 0.9983 - loss: 0.0121 - val_accuracy: 0.9680 - val_loss: 0.1117 - learning_rate: 1.0000e-04\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:45:50.598356Z","iopub.execute_input":"2024-06-09T08:45:50.598758Z","iopub.status.idle":"2024-06-09T08:45:50.943286Z","shell.execute_reply.started":"2024-06-09T08:45:50.598727Z","shell.execute_reply":"2024-06-09T08:45:50.942333Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:45:51.097824Z","iopub.execute_input":"2024-06-09T08:45:51.098171Z","iopub.status.idle":"2024-06-09T08:45:51.371681Z","shell.execute_reply.started":"2024-06-09T08:45:51.098143Z","shell.execute_reply":"2024-06-09T08:45:51.370633Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### NASNetMobile","metadata":{}},{"cell_type":"code","source":"from keras.applications import NASNetMobile\nfrom keras.layers import Dense, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint\n\n# Loading NASNetMobile model\nnasnetmobile_model = NASNetMobile(weights='imagenet', include_top=False, input_shape=(192, 192, 3))\n\n# Freezing convolutional layers\nfor layer in nasnetmobile_model.layers:\n layer.trainable = False\n\n# Adding dense layers on top\nx = nasnetmobile_model.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\n# Binding model\nmodel = Model(inputs=nasnetmobile_model.input, outputs=output)\n\n# Setting callbacks\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-7, verbose=1)\n\nmodel.summary() # model summary","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:52:46.233275Z","iopub.execute_input":"2024-06-09T08:52:46.234049Z","iopub.status.idle":"2024-06-09T08:52:52.598875Z","shell.execute_reply.started":"2024-06-09T08:52:46.234016Z","shell.execute_reply":"2024-06-09T08:52:52.597954Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/nasnet/NASNet-mobile-no-top.h5\n\u001b[1m19993432/19993432\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_1\"\u001b[0m\n","text/html":"
Model: \"functional_1\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ stem_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ stem_bn1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m128\u001b[0m │ stem_conv1[\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 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ stem_bn1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_s… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ activation[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_ste… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ reduction_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_s… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ stem_bn1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m99\u001b[0m, \u001b[38;5;34m99\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m101\u001b[0m, \u001b[38;5;34m101\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m396\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m1,920\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m396\u001b[0m │ activation_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m660\u001b[0m │ activation_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ stem_bn1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m101\u001b[0m, \u001b[38;5;34m101\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ stem_bn1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m1,920\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m99\u001b[0m, \u001b[38;5;34m99\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m220\u001b[0m │ activation_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m97\u001b[0m, \u001b[38;5;34m97\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_s… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m660\u001b[0m │ activation_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m396\u001b[0m │ activation_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m220\u001b[0m │ activation_10[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_stem… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ stem_bn1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_left2_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m44\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_s… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_relu_1_st… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_ste… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_left3_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ │ \u001b[38;5;34m11\u001b[0m) │ │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_ste… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ zero_padding2d[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mCropping2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_s… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ reduction_add3_s… │\n│ │ │ │ add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ │ │ │ reduction_add4_s… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_relu_1_st… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ cropping2d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_stem… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_stem… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m11\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_s… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m968\u001b[0m │ activation_11[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_conv_1_st… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ adjust_conv_2_st… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_ste… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ reduction_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_stem_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ concatenate[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_s… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_14 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_stem_2… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m51\u001b[0m, \u001b[38;5;34m51\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_12[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m53\u001b[0m, \u001b[38;5;34m53\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_14[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,034\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,562\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_13 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_15 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,034\u001b[0m │ activation_13[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,562\u001b[0m │ activation_15[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_16 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_stem_2… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m53\u001b[0m, \u001b[38;5;34m53\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_16[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_18 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_stem_2… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,562\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m51\u001b[0m, \u001b[38;5;34m51\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_18[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_20 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,034\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m682\u001b[0m │ activation_20[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_17 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m49\u001b[0m, \u001b[38;5;34m49\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_s… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,562\u001b[0m │ activation_17[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_19 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_21 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,034\u001b[0m │ activation_19[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m682\u001b[0m │ activation_21[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_left2_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_st… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m88\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_s… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m49\u001b[0m, \u001b[38;5;34m49\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_relu_1_0[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_ste… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_left3_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_1 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ │ \u001b[38;5;34m22\u001b[0m) │ │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_ste… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ zero_padding2d_1… │\n│ (\u001b[38;5;33mCropping2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_s… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ reduction_add3_s… │\n│ │ │ │ add_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ │ │ │ reduction_add4_s… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_relu_1_0[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ cropping2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m968\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m968\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m22\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_22 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_conv_1_0[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ adjust_conv_2_0[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,872\u001b[0m │ activation_22[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ concatenate_1[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ normal_conv_1_0[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_23 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_0[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_25 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_27 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_29 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_31 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_0[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_23[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_25[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_27[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_29[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_31[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_24 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_26 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_28 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_30 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_32 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_24[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_26[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_28[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_30[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_32[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_0[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left3_0[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left4_0[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_right4_0[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_bn_1_0[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_0 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_0[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ normal_add_1_0[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_0[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_0[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_0[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_0[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_33 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_34 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_0[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,872\u001b[0m │ activation_33[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ activation_34[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ normal_conv_1_1[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_35 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_1[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_37 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_39 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_41 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_43 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_1[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_35[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_37[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_39[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_41[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_43[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_36 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_38 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_40 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_42 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_44 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_36[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_38[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_40[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_42[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_44[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_1[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left3_1[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left4_1[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_right4_1[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_bn_1_1[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ normal_add_1_1[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_1[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_1[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_1[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_1[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_45 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_0[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_46 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_1[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ activation_45[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ activation_46[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ normal_conv_1_2[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_47 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_2[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_49 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_51 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_53 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_55 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_2[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_47[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_49[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_51[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_53[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_55[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_48 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_50 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_52 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_54 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_56 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_48[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_50[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_52[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_54[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_56[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_2[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left3_2[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left4_2[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_right4_2[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_bn_1_2[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ normal_add_1_2[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_2[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_2[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_2[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_2[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_57 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_1[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_58 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_2[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ activation_57[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ activation_58[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ normal_conv_1_3[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_59 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_3[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_61 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_63 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_65 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_67 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_3[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_59[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_61[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_63[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_65[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_67[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_60 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_62 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_64 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_66 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_68 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_60[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_62[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m3,036\u001b[0m │ activation_64[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_66[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m2,332\u001b[0m │ activation_68[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_3[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m176\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left3_3[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left4_3[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_right4_3[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ normal_bn_1_3[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ normal_add_1_3[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_3[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_3[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_3[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_3[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_70 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_3[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_69 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_2[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m23,232\u001b[0m │ activation_70[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m23,232\u001b[0m │ activation_69[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_red… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ reduction_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_reduce_4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_71 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_r… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_73 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_reduce… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m27\u001b[0m, \u001b[38;5;34m27\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_71[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_73[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m12,056\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_72 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_74 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_72[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m12,056\u001b[0m │ activation_74[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_75 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_reduce… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_75[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_77 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_reduce… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m12,056\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m27\u001b[0m, \u001b[38;5;34m27\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_77[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_79 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_79[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_76 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_r… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m12,056\u001b[0m │ activation_76[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_78 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_80 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_78[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_80[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_3[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_left2_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_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 │ adjust_relu_1_5[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_red… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_left3_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_2 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ │ \u001b[38;5;34m88\u001b[0m) │ │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_red… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ zero_padding2d_2… │\n│ (\u001b[38;5;33mCropping2D\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ reduction_add3_r… │\n│ │ │ │ add_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ │ │ │ reduction_add4_r… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_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 │ adjust_relu_1_5[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_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 │ cropping2d_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m264\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m11,616\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m44\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_81 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_conv_1_5[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ adjust_conv_2_5[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m30,976\u001b[0m │ activation_81[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ concatenate_2[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ normal_conv_1_5[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_82 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_5[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_84 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_86 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_88 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_90 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_5[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_82[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_84[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_86[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_88[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_90[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_83 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_85 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_87 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_89 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_91 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_83[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_85[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_87[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_89[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_91[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_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 │ normal_bn_1_5[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_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 │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_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 │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_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 │ normal_left3_5[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_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 │ normal_left4_5[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_right4_5[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_bn_1_5[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_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 │ adjust_bn_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ normal_add_1_5[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_5[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_5[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_5[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_5[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_92 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_93 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_5[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m30,976\u001b[0m │ activation_92[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m46,464\u001b[0m │ activation_93[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ normal_conv_1_6[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_94 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_6[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_96 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_98 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_100 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_102 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_6[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_94[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_96[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_98[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_100[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_102[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_95 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_97 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_99 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_101 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_103 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_95[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_97[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_99[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_101[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_103[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_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 │ normal_bn_1_6[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_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 │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_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 │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_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 │ normal_left3_6[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_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 │ normal_left4_6[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_right4_6[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_bn_1_6[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_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 │ adjust_bn_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ normal_add_1_6[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_6[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_6[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_6[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_6[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_104 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_5[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_105 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_6[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m46,464\u001b[0m │ activation_104[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m46,464\u001b[0m │ activation_105[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ normal_conv_1_7[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_106 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_7[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_108 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_110 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_112 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_114 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_7[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_106[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_108[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_110[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_112[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_114[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_107 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_109 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_111 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_113 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_115 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_107[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_109[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_111[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_113[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_115[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_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 │ normal_bn_1_7[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_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 │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_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 │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_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 │ normal_left3_7[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_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 │ normal_left4_7[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_right4_7[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_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 │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_bn_1_7[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_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 │ adjust_bn_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ normal_add_1_7[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_7[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_7[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_7[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_7[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_116 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_6[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_117 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_7[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m46,464\u001b[0m │ activation_116[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m46,464\u001b[0m │ activation_117[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ normal_conv_1_8[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_118 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_8[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_120 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_122 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_124 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_126 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_8[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_118[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_120[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_122[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_124[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_126[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_119 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_121 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_123 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_125 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_127 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_119[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_121[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m9,944\u001b[0m │ activation_123[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_125[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m8,536\u001b[0m │ activation_127[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_8[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m352\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m88\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left3_8[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_left4_8[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_right4_8[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ \u001b[38;5;34m88\u001b[0m) │ │ normal_bn_1_8[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ normal_add_1_8[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_8[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_8[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_8[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_8[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_129 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_8[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_128 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_7[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m92,928\u001b[0m │ activation_129[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m92,928\u001b[0m │ activation_128[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_red… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m704\u001b[0m │ reduction_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_reduce_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m704\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_130 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_r… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_132 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_reduce… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_130[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m17\u001b[0m, \u001b[38;5;34m17\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_132[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m39,600\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_131 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_133 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_131[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m39,600\u001b[0m │ activation_133[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_134 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_reduce… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m17\u001b[0m, \u001b[38;5;34m17\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_134[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_136 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_reduce… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m39,600\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_136[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_138 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_138[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_135 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m13\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ reduction_bn_1_r… │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m176\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m39,600\u001b[0m │ activation_135[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_137 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_139 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_137[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_139[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_8[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_left2_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_add_1_… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_pad_1_… │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m13\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_relu_1_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_red… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_left3_… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_3 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ │ │ │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_red… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ zero_padding2d_3… │\n│ (\u001b[38;5;33mCropping2D\u001b[0m) │ \u001b[38;5;34m528\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_r… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_add_2_… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ reduction_add3_r… │\n│ │ │ │ add_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ │ │ │ reduction_add4_r… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m528\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_relu_1_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m528\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ cropping2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m88\u001b[0m) │ \u001b[38;5;34m46,464\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m88\u001b[0m) │ \u001b[38;5;34m46,464\u001b[0m │ adjust_avg_pool_… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_140 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_conv_1_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ adjust_conv_2_9[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m123,904\u001b[0m │ activation_140[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ concatenate_3[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ normal_conv_1_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_141 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_9[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_143 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_145 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_147 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_149 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_9[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_141[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_143[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_145[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_147[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_149[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_142 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_144 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_146 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_148 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_150 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_142[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_144[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_146[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_148[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_150[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_9[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left3_9[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left4_9[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_right4_9[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_bn_1_9[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ normal_add_1_9[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_2_9[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_3_9[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_4_9[\u001b[38;5;34m0\u001b[0m… │\n│ │ │ │ normal_add_5_9[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_151 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ reduction_concat… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_152 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m123,904\u001b[0m │ activation_151[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m185,856\u001b[0m │ activation_152[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ normal_conv_1_10… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_153 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_10[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_155 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_157 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_159 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_161 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_10[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_153[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_155[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_157[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_159[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_161[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_154 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_156 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_158 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_160 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_162 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_154[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_156[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_158[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_160[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_162[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_10[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left3_10[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left4_10[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_right4_10… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_bn_1_10[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ normal_add_1_10[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_2_10[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_3_10[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_4_10[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_5_10[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_163 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_9[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_164 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_10… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m185,856\u001b[0m │ activation_163[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m185,856\u001b[0m │ activation_164[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ normal_conv_1_11… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_165 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_11[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_167 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_169 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_171 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_173 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_11[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_165[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_167[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_169[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_171[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_173[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_166 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_168 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_170 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_172 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_174 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_166[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_168[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_170[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_172[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_174[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_11[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left3_11[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left4_11[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_right4_11… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_bn_1_11[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ normal_add_1_11[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_2_11[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_3_11[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_4_11[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_5_11[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_175 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_10… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_176 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_11… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m185,856\u001b[0m │ activation_175[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m185,856\u001b[0m │ activation_176[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ adjust_conv_proj… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ normal_conv_1_12… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_177 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_12[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_179 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_181 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_183 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_185 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_12[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_177[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_179[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_181[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_183[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_185[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_178 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_180 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_182 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_184 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_186 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_1… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_178[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_180[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m35,376\u001b[0m │ activation_182[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_184[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m32,560\u001b[0m │ activation_186[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mSeparableConv2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_bn_1_12[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m704\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left3_12[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ normal_left4_12[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_right4_12… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m176\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ separable_conv_2… │\n│ (\u001b[38;5;33mAdd\u001b[0m) │ │ │ normal_bn_1_12[\u001b[38;5;34m0\u001b[0m… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ adjust_bn_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ normal_add_1_12[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_2_12[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_3_12[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_4_12[\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ normal_add_5_12[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_187 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ normal_concat_12… │\n│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1056\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_187[\u001b[38;5;34m0\u001b[0m… │\n│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m1,082,368\u001b[0m │ global_average_p… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer         │ (None, 192, 192,  │          0 │ -                 │\n│ (InputLayer)        │ 3)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ stem_conv1 (Conv2D) │ (None, 95, 95,    │        864 │ input_layer[0][0] │\n│                     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ stem_bn1            │ (None, 95, 95,    │        128 │ stem_conv1[0][0]  │\n│ (BatchNormalizatio… │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation          │ (None, 95, 95,    │          0 │ stem_bn1[0][0]    │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_s… │ (None, 95, 95,    │        352 │ activation[0][0]  │\n│ (Conv2D)            │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_ste… │ (None, 95, 95,    │         44 │ reduction_conv_1… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_1        │ (None, 95, 95,    │          0 │ reduction_bn_1_s… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_3        │ (None, 95, 95,    │          0 │ stem_bn1[0][0]    │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 99, 99,    │          0 │ activation_1[0][… │\n│ (ZeroPadding2D)     │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 101, 101,  │          0 │ activation_3[0][… │\n│ (ZeroPadding2D)     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 48, 48,    │        396 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 48, 48,    │      1,920 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 48, 48,    │         44 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 48, 48,    │         44 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_2        │ (None, 48, 48,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_4        │ (None, 48, 48,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 48, 48,    │        396 │ activation_2[0][… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 48, 48,    │        660 │ activation_4[0][… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_5        │ (None, 95, 95,    │          0 │ stem_bn1[0][0]    │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 48, 48,    │         44 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 48, 48,    │         44 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 101, 101,  │          0 │ activation_5[0][… │\n│ (ZeroPadding2D)     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_7        │ (None, 95, 95,    │          0 │ stem_bn1[0][0]    │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_st… │ (None, 48, 48,    │          0 │ separable_conv_2… │\n│ (Add)               │ 11)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 48, 48,    │      1,920 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 99, 99,    │          0 │ activation_7[0][… │\n│ (ZeroPadding2D)     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_9        │ (None, 48, 48,    │          0 │ reduction_add_1_… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 48, 48,    │         44 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 48, 48,    │      1,152 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 48, 48,    │        220 │ activation_9[0][… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_6        │ (None, 48, 48,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 48, 48,    │         44 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 48, 48,    │         44 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_st… │ (None, 97, 97,    │          0 │ reduction_bn_1_s… │\n│ (ZeroPadding2D)     │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 48, 48,    │        660 │ activation_6[0][… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_8        │ (None, 48, 48,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_10       │ (None, 48, 48,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_st… │ (None, 48, 48,    │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 48, 48,    │         44 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 48, 48,    │        396 │ activation_8[0][… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 48, 48,    │        220 │ activation_10[0]… │\n│ (SeparableConv2D)   │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_stem… │ (None, 95, 95,    │          0 │ stem_bn1[0][0]    │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_st… │ (None, 48, 48,    │          0 │ reduction_left2_… │\n│ (Add)               │ 11)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_st… │ (None, 48, 48,    │          0 │ reduction_pad_1_… │\n│ (AveragePooling2D)  │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 48, 48,    │         44 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_st… │ (None, 48, 48,    │          0 │ reduction_add_1_… │\n│ (AveragePooling2D)  │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 48, 48,    │         44 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_s… │ (None, 48, 48,    │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d      │ (None, 96, 96,    │          0 │ adjust_relu_1_st… │\n│ (ZeroPadding2D)     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_ste… │ (None, 48, 48,    │          0 │ reduction_left3_… │\n│ (Add)               │ 11)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add (Add)           │ (None, 48, 48,    │          0 │ reduction_add_2_… │\n│                     │ 11)               │            │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_ste… │ (None, 48, 48,    │          0 │ separable_conv_2… │\n│ (Add)               │ 11)               │            │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d          │ (None, 95, 95,    │          0 │ zero_padding2d[0… │\n│ (Cropping2D)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_s… │ (None, 48, 48,    │          0 │ reduction_add_2_… │\n│ (Concatenate)       │ 44)               │            │ reduction_add3_s… │\n│                     │                   │            │ add[0][0],        │\n│                     │                   │            │ reduction_add4_s… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_… │ (None, 48, 48,    │          0 │ adjust_relu_1_st… │\n│ (AveragePooling2D)  │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_… │ (None, 48, 48,    │          0 │ cropping2d[0][0]  │\n│ (AveragePooling2D)  │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_11       │ (None, 48, 48,    │          0 │ reduction_concat… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_stem… │ (None, 48, 48,    │        352 │ adjust_avg_pool_… │\n│ (Conv2D)            │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_stem… │ (None, 48, 48,    │        352 │ adjust_avg_pool_… │\n│ (Conv2D)            │ 11)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_s… │ (None, 48, 48,    │        968 │ activation_11[0]… │\n│ (Conv2D)            │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate         │ (None, 48, 48,    │          0 │ adjust_conv_1_st… │\n│ (Concatenate)       │ 22)               │            │ adjust_conv_2_st… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_ste… │ (None, 48, 48,    │         88 │ reduction_conv_1… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_stem_2    │ (None, 48, 48,    │         88 │ concatenate[0][0] │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_12       │ (None, 48, 48,    │          0 │ reduction_bn_1_s… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_14       │ (None, 48, 48,    │          0 │ adjust_bn_stem_2… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 51, 51,    │          0 │ activation_12[0]… │\n│ (ZeroPadding2D)     │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 53, 53,    │          0 │ activation_14[0]… │\n│ (ZeroPadding2D)     │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 24, 24,    │      1,034 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 24, 24,    │      1,562 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │         88 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │         88 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_13       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_15       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 24, 24,    │      1,034 │ activation_13[0]… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 24, 24,    │      1,562 │ activation_15[0]… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_16       │ (None, 48, 48,    │          0 │ adjust_bn_stem_2… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │         88 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │         88 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 53, 53,    │          0 │ activation_16[0]… │\n│ (ZeroPadding2D)     │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_18       │ (None, 48, 48,    │          0 │ adjust_bn_stem_2… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_st… │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 22)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 24, 24,    │      1,562 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 51, 51,    │          0 │ activation_18[0]… │\n│ (ZeroPadding2D)     │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_20       │ (None, 24, 24,    │          0 │ reduction_add_1_… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │         88 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 24, 24,    │      1,034 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 24, 24,    │        682 │ activation_20[0]… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_17       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │         88 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │         88 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_st… │ (None, 49, 49,    │          0 │ reduction_bn_1_s… │\n│ (ZeroPadding2D)     │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 24, 24,    │      1,562 │ activation_17[0]… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_19       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_21       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_st… │ (None, 24, 24,    │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │         88 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 24, 24,    │      1,034 │ activation_19[0]… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 24, 24,    │        682 │ activation_21[0]… │\n│ (SeparableConv2D)   │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_0     │ (None, 48, 48,    │          0 │ reduction_concat… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_st… │ (None, 24, 24,    │          0 │ reduction_left2_… │\n│ (Add)               │ 22)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_st… │ (None, 24, 24,    │          0 │ reduction_pad_1_… │\n│ (AveragePooling2D)  │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │         88 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_st… │ (None, 24, 24,    │          0 │ reduction_add_1_… │\n│ (AveragePooling2D)  │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │         88 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_s… │ (None, 24, 24,    │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_1    │ (None, 49, 49,    │          0 │ adjust_relu_1_0[… │\n│ (ZeroPadding2D)     │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_ste… │ (None, 24, 24,    │          0 │ reduction_left3_… │\n│ (Add)               │ 22)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_1 (Add)         │ (None, 24, 24,    │          0 │ reduction_add_2_… │\n│                     │ 22)               │            │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_ste… │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 22)               │            │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d_1        │ (None, 48, 48,    │          0 │ zero_padding2d_1… │\n│ (Cropping2D)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_s… │ (None, 24, 24,    │          0 │ reduction_add_2_… │\n│ (Concatenate)       │ 88)               │            │ reduction_add3_s… │\n│                     │                   │            │ add_1[0][0],      │\n│                     │                   │            │ reduction_add4_s… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_0 │ (None, 24, 24,    │          0 │ adjust_relu_1_0[… │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_0 │ (None, 24, 24,    │          0 │ cropping2d_1[0][… │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_0     │ (None, 24, 24,    │        968 │ adjust_avg_pool_… │\n│ (Conv2D)            │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_0     │ (None, 24, 24,    │        968 │ adjust_avg_pool_… │\n│ (Conv2D)            │ 22)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_22       │ (None, 24, 24,    │          0 │ reduction_concat… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_1       │ (None, 24, 24,    │          0 │ adjust_conv_1_0[… │\n│ (Concatenate)       │ 44)               │            │ adjust_conv_2_0[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_0     │ (None, 24, 24,    │      3,872 │ activation_22[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_0         │ (None, 24, 24,    │        176 │ concatenate_1[0]… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_0       │ (None, 24, 24,    │        176 │ normal_conv_1_0[… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_23       │ (None, 24, 24,    │          0 │ normal_bn_1_0[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_25       │ (None, 24, 24,    │          0 │ adjust_bn_0[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_27       │ (None, 24, 24,    │          0 │ adjust_bn_0[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_29       │ (None, 24, 24,    │          0 │ adjust_bn_0[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_31       │ (None, 24, 24,    │          0 │ normal_bn_1_0[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_23[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_25[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_27[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_29[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_31[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_24       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_26       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_28       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_30       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_32       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_24[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_26[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_28[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_30[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_32[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_0      │ (None, 24, 24,    │          0 │ normal_bn_1_0[0]… │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_0      │ (None, 24, 24,    │          0 │ adjust_bn_0[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_0     │ (None, 24, 24,    │          0 │ adjust_bn_0[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_0      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_0      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_0      │ (None, 24, 24,    │          0 │ normal_left3_0[0… │\n│ (Add)               │ 44)               │            │ adjust_bn_0[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_0      │ (None, 24, 24,    │          0 │ normal_left4_0[0… │\n│ (Add)               │ 44)               │            │ normal_right4_0[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_0      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ normal_bn_1_0[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_0     │ (None, 24, 24,    │          0 │ adjust_bn_0[0][0… │\n│ (Concatenate)       │ 264)              │            │ normal_add_1_0[0… │\n│                     │                   │            │ normal_add_2_0[0… │\n│                     │                   │            │ normal_add_3_0[0… │\n│                     │                   │            │ normal_add_4_0[0… │\n│                     │                   │            │ normal_add_5_0[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_33       │ (None, 24, 24,    │          0 │ reduction_concat… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_34       │ (None, 24, 24,    │          0 │ normal_concat_0[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 24, 24,    │      3,872 │ activation_33[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_1     │ (None, 24, 24,    │     11,616 │ activation_34[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_1         │ (None, 24, 24,    │        176 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_1       │ (None, 24, 24,    │        176 │ normal_conv_1_1[… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_35       │ (None, 24, 24,    │          0 │ normal_bn_1_1[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_37       │ (None, 24, 24,    │          0 │ adjust_bn_1[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_39       │ (None, 24, 24,    │          0 │ adjust_bn_1[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_41       │ (None, 24, 24,    │          0 │ adjust_bn_1[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_43       │ (None, 24, 24,    │          0 │ normal_bn_1_1[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_35[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_37[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_39[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_41[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_43[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_36       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_38       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_40       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_42       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_44       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_36[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_38[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_40[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_42[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_44[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_1      │ (None, 24, 24,    │          0 │ normal_bn_1_1[0]… │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_1      │ (None, 24, 24,    │          0 │ adjust_bn_1[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_1     │ (None, 24, 24,    │          0 │ adjust_bn_1[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_1      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_1      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_1      │ (None, 24, 24,    │          0 │ normal_left3_1[0… │\n│ (Add)               │ 44)               │            │ adjust_bn_1[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_1      │ (None, 24, 24,    │          0 │ normal_left4_1[0… │\n│ (Add)               │ 44)               │            │ normal_right4_1[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_1      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ normal_bn_1_1[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_1     │ (None, 24, 24,    │          0 │ adjust_bn_1[0][0… │\n│ (Concatenate)       │ 264)              │            │ normal_add_1_1[0… │\n│                     │                   │            │ normal_add_2_1[0… │\n│                     │                   │            │ normal_add_3_1[0… │\n│                     │                   │            │ normal_add_4_1[0… │\n│                     │                   │            │ normal_add_5_1[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_45       │ (None, 24, 24,    │          0 │ normal_concat_0[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_46       │ (None, 24, 24,    │          0 │ normal_concat_1[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 24, 24,    │     11,616 │ activation_45[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_2     │ (None, 24, 24,    │     11,616 │ activation_46[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_2         │ (None, 24, 24,    │        176 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_2       │ (None, 24, 24,    │        176 │ normal_conv_1_2[… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_47       │ (None, 24, 24,    │          0 │ normal_bn_1_2[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_49       │ (None, 24, 24,    │          0 │ adjust_bn_2[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_51       │ (None, 24, 24,    │          0 │ adjust_bn_2[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_53       │ (None, 24, 24,    │          0 │ adjust_bn_2[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_55       │ (None, 24, 24,    │          0 │ normal_bn_1_2[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_47[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_49[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_51[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_53[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_55[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_48       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_50       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_52       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_54       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_56       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_48[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_50[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_52[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_54[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_56[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_2      │ (None, 24, 24,    │          0 │ normal_bn_1_2[0]… │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_2      │ (None, 24, 24,    │          0 │ adjust_bn_2[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_2     │ (None, 24, 24,    │          0 │ adjust_bn_2[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_2      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_2      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_2      │ (None, 24, 24,    │          0 │ normal_left3_2[0… │\n│ (Add)               │ 44)               │            │ adjust_bn_2[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_2      │ (None, 24, 24,    │          0 │ normal_left4_2[0… │\n│ (Add)               │ 44)               │            │ normal_right4_2[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_2      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ normal_bn_1_2[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_2     │ (None, 24, 24,    │          0 │ adjust_bn_2[0][0… │\n│ (Concatenate)       │ 264)              │            │ normal_add_1_2[0… │\n│                     │                   │            │ normal_add_2_2[0… │\n│                     │                   │            │ normal_add_3_2[0… │\n│                     │                   │            │ normal_add_4_2[0… │\n│                     │                   │            │ normal_add_5_2[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_57       │ (None, 24, 24,    │          0 │ normal_concat_1[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_58       │ (None, 24, 24,    │          0 │ normal_concat_2[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 24, 24,    │     11,616 │ activation_57[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_3     │ (None, 24, 24,    │     11,616 │ activation_58[0]… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_3         │ (None, 24, 24,    │        176 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_3       │ (None, 24, 24,    │        176 │ normal_conv_1_3[… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_59       │ (None, 24, 24,    │          0 │ normal_bn_1_3[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_61       │ (None, 24, 24,    │          0 │ adjust_bn_3[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_63       │ (None, 24, 24,    │          0 │ adjust_bn_3[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_65       │ (None, 24, 24,    │          0 │ adjust_bn_3[0][0] │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_67       │ (None, 24, 24,    │          0 │ normal_bn_1_3[0]… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_59[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_61[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      3,036 │ activation_63[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_65[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 24, 24,    │      2,332 │ activation_67[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 24, 24,    │        176 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_60       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_62       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_64       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_66       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_68       │ (None, 24, 24,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_60[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_62[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      3,036 │ activation_64[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_66[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 24, 24,    │      2,332 │ activation_68[0]… │\n│ (SeparableConv2D)   │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_3      │ (None, 24, 24,    │          0 │ normal_bn_1_3[0]… │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_3      │ (None, 24, 24,    │          0 │ adjust_bn_3[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_3     │ (None, 24, 24,    │          0 │ adjust_bn_3[0][0] │\n│ (AveragePooling2D)  │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 24, 24,    │        176 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_3      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_3      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_3      │ (None, 24, 24,    │          0 │ normal_left3_3[0… │\n│ (Add)               │ 44)               │            │ adjust_bn_3[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_3      │ (None, 24, 24,    │          0 │ normal_left4_3[0… │\n│ (Add)               │ 44)               │            │ normal_right4_3[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_3      │ (None, 24, 24,    │          0 │ separable_conv_2… │\n│ (Add)               │ 44)               │            │ normal_bn_1_3[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_3     │ (None, 24, 24,    │          0 │ adjust_bn_3[0][0… │\n│ (Concatenate)       │ 264)              │            │ normal_add_1_3[0… │\n│                     │                   │            │ normal_add_2_3[0… │\n│                     │                   │            │ normal_add_3_3[0… │\n│                     │                   │            │ normal_add_4_3[0… │\n│                     │                   │            │ normal_add_5_3[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_70       │ (None, 24, 24,    │          0 │ normal_concat_3[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_69       │ (None, 24, 24,    │          0 │ normal_concat_2[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_r… │ (None, 24, 24,    │     23,232 │ activation_70[0]… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 24, 24,    │     23,232 │ activation_69[0]… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_red… │ (None, 24, 24,    │        352 │ reduction_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_reduce_4  │ (None, 24, 24,    │        352 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_71       │ (None, 24, 24,    │          0 │ reduction_bn_1_r… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_73       │ (None, 24, 24,    │          0 │ adjust_bn_reduce… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 27, 27,    │          0 │ activation_71[0]… │\n│ (ZeroPadding2D)     │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 29, 29,    │          0 │ activation_73[0]… │\n│ (ZeroPadding2D)     │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 12, 12,    │      9,944 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 12, 12,    │     12,056 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_72       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_74       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 12, 12,    │      9,944 │ activation_72[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 12, 12,    │     12,056 │ activation_74[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_75       │ (None, 24, 24,    │          0 │ adjust_bn_reduce… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 29, 29,    │          0 │ activation_75[0]… │\n│ (ZeroPadding2D)     │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_77       │ (None, 24, 24,    │          0 │ adjust_bn_reduce… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_re… │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 12, 12,    │     12,056 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 27, 27,    │          0 │ activation_77[0]… │\n│ (ZeroPadding2D)     │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_79       │ (None, 12, 12,    │          0 │ reduction_add_1_… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 12, 12,    │      9,944 │ separable_conv_1… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 12, 12,    │      8,536 │ activation_79[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_76       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_re… │ (None, 25, 25,    │          0 │ reduction_bn_1_r… │\n│ (ZeroPadding2D)     │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 12, 12,    │     12,056 │ activation_76[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_78       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_80       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_re… │ (None, 12, 12,    │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 12, 12,    │      9,944 │ activation_78[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 12, 12,    │      8,536 │ activation_80[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_5     │ (None, 24, 24,    │          0 │ normal_concat_3[… │\n│ (Activation)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_re… │ (None, 12, 12,    │          0 │ reduction_left2_… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_re… │ (None, 12, 12,    │          0 │ reduction_pad_1_… │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_re… │ (None, 12, 12,    │          0 │ reduction_add_1_… │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_r… │ (None, 12, 12,    │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_2    │ (None, 25, 25,    │          0 │ adjust_relu_1_5[… │\n│ (ZeroPadding2D)     │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_red… │ (None, 12, 12,    │          0 │ reduction_left3_… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_2 (Add)         │ (None, 12, 12,    │          0 │ reduction_add_2_… │\n│                     │ 88)               │            │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_red… │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d_2        │ (None, 24, 24,    │          0 │ zero_padding2d_2… │\n│ (Cropping2D)        │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_r… │ (None, 12, 12,    │          0 │ reduction_add_2_… │\n│ (Concatenate)       │ 352)              │            │ reduction_add3_r… │\n│                     │                   │            │ add_2[0][0],      │\n│                     │                   │            │ reduction_add4_r… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_5 │ (None, 12, 12,    │          0 │ adjust_relu_1_5[… │\n│ (AveragePooling2D)  │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_5 │ (None, 12, 12,    │          0 │ cropping2d_2[0][… │\n│ (AveragePooling2D)  │ 264)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_5     │ (None, 12, 12,    │     11,616 │ adjust_avg_pool_… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_5     │ (None, 12, 12,    │     11,616 │ adjust_avg_pool_… │\n│ (Conv2D)            │ 44)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_81       │ (None, 12, 12,    │          0 │ reduction_concat… │\n│ (Activation)        │ 352)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_2       │ (None, 12, 12,    │          0 │ adjust_conv_1_5[… │\n│ (Concatenate)       │ 88)               │            │ adjust_conv_2_5[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_5     │ (None, 12, 12,    │     30,976 │ activation_81[0]… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_5         │ (None, 12, 12,    │        352 │ concatenate_2[0]… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_5       │ (None, 12, 12,    │        352 │ normal_conv_1_5[… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_82       │ (None, 12, 12,    │          0 │ normal_bn_1_5[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_84       │ (None, 12, 12,    │          0 │ adjust_bn_5[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_86       │ (None, 12, 12,    │          0 │ adjust_bn_5[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_88       │ (None, 12, 12,    │          0 │ adjust_bn_5[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_90       │ (None, 12, 12,    │          0 │ normal_bn_1_5[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_82[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_84[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_86[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_88[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_90[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_83       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_85       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_87       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_89       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_91       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_83[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_85[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_87[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_89[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_91[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_5      │ (None, 12, 12,    │          0 │ normal_bn_1_5[0]… │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_5      │ (None, 12, 12,    │          0 │ adjust_bn_5[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_5     │ (None, 12, 12,    │          0 │ adjust_bn_5[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_5      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_5      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_5      │ (None, 12, 12,    │          0 │ normal_left3_5[0… │\n│ (Add)               │ 88)               │            │ adjust_bn_5[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_5      │ (None, 12, 12,    │          0 │ normal_left4_5[0… │\n│ (Add)               │ 88)               │            │ normal_right4_5[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_5      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ normal_bn_1_5[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_5     │ (None, 12, 12,    │          0 │ adjust_bn_5[0][0… │\n│ (Concatenate)       │ 528)              │            │ normal_add_1_5[0… │\n│                     │                   │            │ normal_add_2_5[0… │\n│                     │                   │            │ normal_add_3_5[0… │\n│                     │                   │            │ normal_add_4_5[0… │\n│                     │                   │            │ normal_add_5_5[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_92       │ (None, 12, 12,    │          0 │ reduction_concat… │\n│ (Activation)        │ 352)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_93       │ (None, 12, 12,    │          0 │ normal_concat_5[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 12, 12,    │     30,976 │ activation_92[0]… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_6     │ (None, 12, 12,    │     46,464 │ activation_93[0]… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_6         │ (None, 12, 12,    │        352 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_6       │ (None, 12, 12,    │        352 │ normal_conv_1_6[… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_94       │ (None, 12, 12,    │          0 │ normal_bn_1_6[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_96       │ (None, 12, 12,    │          0 │ adjust_bn_6[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_98       │ (None, 12, 12,    │          0 │ adjust_bn_6[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_100      │ (None, 12, 12,    │          0 │ adjust_bn_6[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_102      │ (None, 12, 12,    │          0 │ normal_bn_1_6[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_94[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_96[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_98[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_100[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_102[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_95       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_97       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_99       │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_101      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_103      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_95[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_97[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_99[0]… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_101[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_103[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_6      │ (None, 12, 12,    │          0 │ normal_bn_1_6[0]… │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_6      │ (None, 12, 12,    │          0 │ adjust_bn_6[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_6     │ (None, 12, 12,    │          0 │ adjust_bn_6[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_6      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_6      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_6      │ (None, 12, 12,    │          0 │ normal_left3_6[0… │\n│ (Add)               │ 88)               │            │ adjust_bn_6[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_6      │ (None, 12, 12,    │          0 │ normal_left4_6[0… │\n│ (Add)               │ 88)               │            │ normal_right4_6[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_6      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ normal_bn_1_6[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_6     │ (None, 12, 12,    │          0 │ adjust_bn_6[0][0… │\n│ (Concatenate)       │ 528)              │            │ normal_add_1_6[0… │\n│                     │                   │            │ normal_add_2_6[0… │\n│                     │                   │            │ normal_add_3_6[0… │\n│                     │                   │            │ normal_add_4_6[0… │\n│                     │                   │            │ normal_add_5_6[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_104      │ (None, 12, 12,    │          0 │ normal_concat_5[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_105      │ (None, 12, 12,    │          0 │ normal_concat_6[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 12, 12,    │     46,464 │ activation_104[0… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_7     │ (None, 12, 12,    │     46,464 │ activation_105[0… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_7         │ (None, 12, 12,    │        352 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_7       │ (None, 12, 12,    │        352 │ normal_conv_1_7[… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_106      │ (None, 12, 12,    │          0 │ normal_bn_1_7[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_108      │ (None, 12, 12,    │          0 │ adjust_bn_7[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_110      │ (None, 12, 12,    │          0 │ adjust_bn_7[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_112      │ (None, 12, 12,    │          0 │ adjust_bn_7[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_114      │ (None, 12, 12,    │          0 │ normal_bn_1_7[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_106[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_108[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_110[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_112[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_114[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_107      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_109      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_111      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_113      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_115      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_107[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_109[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_111[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_113[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_115[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_7      │ (None, 12, 12,    │          0 │ normal_bn_1_7[0]… │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_7      │ (None, 12, 12,    │          0 │ adjust_bn_7[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_7     │ (None, 12, 12,    │          0 │ adjust_bn_7[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_7      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_7      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_7      │ (None, 12, 12,    │          0 │ normal_left3_7[0… │\n│ (Add)               │ 88)               │            │ adjust_bn_7[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_7      │ (None, 12, 12,    │          0 │ normal_left4_7[0… │\n│ (Add)               │ 88)               │            │ normal_right4_7[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_7      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ normal_bn_1_7[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_7     │ (None, 12, 12,    │          0 │ adjust_bn_7[0][0… │\n│ (Concatenate)       │ 528)              │            │ normal_add_1_7[0… │\n│                     │                   │            │ normal_add_2_7[0… │\n│                     │                   │            │ normal_add_3_7[0… │\n│                     │                   │            │ normal_add_4_7[0… │\n│                     │                   │            │ normal_add_5_7[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_116      │ (None, 12, 12,    │          0 │ normal_concat_6[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_117      │ (None, 12, 12,    │          0 │ normal_concat_7[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 12, 12,    │     46,464 │ activation_116[0… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_8     │ (None, 12, 12,    │     46,464 │ activation_117[0… │\n│ (Conv2D)            │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_8         │ (None, 12, 12,    │        352 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_8       │ (None, 12, 12,    │        352 │ normal_conv_1_8[… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_118      │ (None, 12, 12,    │          0 │ normal_bn_1_8[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_120      │ (None, 12, 12,    │          0 │ adjust_bn_8[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_122      │ (None, 12, 12,    │          0 │ adjust_bn_8[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_124      │ (None, 12, 12,    │          0 │ adjust_bn_8[0][0] │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_126      │ (None, 12, 12,    │          0 │ normal_bn_1_8[0]… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_118[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_120[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      9,944 │ activation_122[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_124[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 12, 12,    │      8,536 │ activation_126[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 12, 12,    │        352 │ separable_conv_1… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_119      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_121      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_123      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_125      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_127      │ (None, 12, 12,    │          0 │ separable_conv_1… │\n│ (Activation)        │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_119[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_121[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      9,944 │ activation_123[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_125[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 12, 12,    │      8,536 │ activation_127[0… │\n│ (SeparableConv2D)   │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_8      │ (None, 12, 12,    │          0 │ normal_bn_1_8[0]… │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_8      │ (None, 12, 12,    │          0 │ adjust_bn_8[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_8     │ (None, 12, 12,    │          0 │ adjust_bn_8[0][0] │\n│ (AveragePooling2D)  │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 12, 12,    │        352 │ separable_conv_2… │\n│ (BatchNormalizatio… │ 88)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_8      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_8      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_8      │ (None, 12, 12,    │          0 │ normal_left3_8[0… │\n│ (Add)               │ 88)               │            │ adjust_bn_8[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_8      │ (None, 12, 12,    │          0 │ normal_left4_8[0… │\n│ (Add)               │ 88)               │            │ normal_right4_8[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_8      │ (None, 12, 12,    │          0 │ separable_conv_2… │\n│ (Add)               │ 88)               │            │ normal_bn_1_8[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_8     │ (None, 12, 12,    │          0 │ adjust_bn_8[0][0… │\n│ (Concatenate)       │ 528)              │            │ normal_add_1_8[0… │\n│                     │                   │            │ normal_add_2_8[0… │\n│                     │                   │            │ normal_add_3_8[0… │\n│                     │                   │            │ normal_add_4_8[0… │\n│                     │                   │            │ normal_add_5_8[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_129      │ (None, 12, 12,    │          0 │ normal_concat_8[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_128      │ (None, 12, 12,    │          0 │ normal_concat_7[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_conv_1_r… │ (None, 12, 12,    │     92,928 │ activation_129[0… │\n│ (Conv2D)            │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 12, 12,    │     92,928 │ activation_128[0… │\n│ (Conv2D)            │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_bn_1_red… │ (None, 12, 12,    │        704 │ reduction_conv_1… │\n│ (BatchNormalizatio… │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_reduce_8  │ (None, 12, 12,    │        704 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_130      │ (None, 12, 12,    │          0 │ reduction_bn_1_r… │\n│ (Activation)        │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_132      │ (None, 12, 12,    │          0 │ adjust_bn_reduce… │\n│ (Activation)        │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 15, 15,    │          0 │ activation_130[0… │\n│ (ZeroPadding2D)     │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 17, 17,    │          0 │ activation_132[0… │\n│ (ZeroPadding2D)     │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 6, 6, 176) │     35,376 │ separable_conv_1… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 6, 6, 176) │     39,600 │ separable_conv_1… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_131      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_133      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 6, 6, 176) │     35,376 │ activation_131[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 6, 6, 176) │     39,600 │ activation_133[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_134      │ (None, 12, 12,    │          0 │ adjust_bn_reduce… │\n│ (Activation)        │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 17, 17,    │          0 │ activation_134[0… │\n│ (ZeroPadding2D)     │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_136      │ (None, 12, 12,    │          0 │ adjust_bn_reduce… │\n│ (Activation)        │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_1_re… │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 6, 6, 176) │     39,600 │ separable_conv_1… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_p… │ (None, 15, 15,    │          0 │ activation_136[0… │\n│ (ZeroPadding2D)     │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_138      │ (None, 6, 6, 176) │          0 │ reduction_add_1_… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 6, 6, 176) │     35,376 │ separable_conv_1… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_r… │ (None, 6, 6, 176) │     32,560 │ activation_138[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_135      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_pad_1_re… │ (None, 13, 13,    │          0 │ reduction_bn_1_r… │\n│ (ZeroPadding2D)     │ 176)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 6, 6, 176) │     39,600 │ activation_135[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_137      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_139      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left2_re… │ (None, 6, 6, 176) │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 6, 6, 176) │     35,376 │ activation_137[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_r… │ (None, 6, 6, 176) │     32,560 │ activation_139[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_relu_1_9     │ (None, 12, 12,    │          0 │ normal_concat_8[… │\n│ (Activation)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add_2_re… │ (None, 6, 6, 176) │          0 │ reduction_left2_… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left3_re… │ (None, 6, 6, 176) │          0 │ reduction_pad_1_… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_left4_re… │ (None, 6, 6, 176) │          0 │ reduction_add_1_… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_right5_r… │ (None, 6, 6, 176) │          0 │ reduction_pad_1_… │\n│ (MaxPooling2D)      │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_3    │ (None, 13, 13,    │          0 │ adjust_relu_1_9[… │\n│ (ZeroPadding2D)     │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add3_red… │ (None, 6, 6, 176) │          0 │ reduction_left3_… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_3 (Add)         │ (None, 6, 6, 176) │          0 │ reduction_add_2_… │\n│                     │                   │            │ reduction_left4_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_add4_red… │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ reduction_right5… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ cropping2d_3        │ (None, 12, 12,    │          0 │ zero_padding2d_3… │\n│ (Cropping2D)        │ 528)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ reduction_concat_r… │ (None, 6, 6, 704) │          0 │ reduction_add_2_… │\n│ (Concatenate)       │                   │            │ reduction_add3_r… │\n│                     │                   │            │ add_3[0][0],      │\n│                     │                   │            │ reduction_add4_r… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_1_9 │ (None, 6, 6, 528) │          0 │ adjust_relu_1_9[… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_avg_pool_2_9 │ (None, 6, 6, 528) │          0 │ cropping2d_3[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_1_9     │ (None, 6, 6, 88)  │     46,464 │ adjust_avg_pool_… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_2_9     │ (None, 6, 6, 88)  │     46,464 │ adjust_avg_pool_… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_140      │ (None, 6, 6, 704) │          0 │ reduction_concat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_3       │ (None, 6, 6, 176) │          0 │ adjust_conv_1_9[… │\n│ (Concatenate)       │                   │            │ adjust_conv_2_9[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_9     │ (None, 6, 6, 176) │    123,904 │ activation_140[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_9         │ (None, 6, 6, 176) │        704 │ concatenate_3[0]… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_9       │ (None, 6, 6, 176) │        704 │ normal_conv_1_9[… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_141      │ (None, 6, 6, 176) │          0 │ normal_bn_1_9[0]… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_143      │ (None, 6, 6, 176) │          0 │ adjust_bn_9[0][0] │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_145      │ (None, 6, 6, 176) │          0 │ adjust_bn_9[0][0] │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_147      │ (None, 6, 6, 176) │          0 │ adjust_bn_9[0][0] │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_149      │ (None, 6, 6, 176) │          0 │ normal_bn_1_9[0]… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_141[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_143[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_145[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_147[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_149[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_142      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_144      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_146      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_148      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_150      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_142[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_144[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_146[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_148[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_150[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_9      │ (None, 6, 6, 176) │          0 │ normal_bn_1_9[0]… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_9      │ (None, 6, 6, 176) │          0 │ adjust_bn_9[0][0] │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_9     │ (None, 6, 6, 176) │          0 │ adjust_bn_9[0][0] │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_9      │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_9      │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_9      │ (None, 6, 6, 176) │          0 │ normal_left3_9[0… │\n│ (Add)               │                   │            │ adjust_bn_9[0][0] │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_9      │ (None, 6, 6, 176) │          0 │ normal_left4_9[0… │\n│ (Add)               │                   │            │ normal_right4_9[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_9      │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ normal_bn_1_9[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_9     │ (None, 6, 6,      │          0 │ adjust_bn_9[0][0… │\n│ (Concatenate)       │ 1056)             │            │ normal_add_1_9[0… │\n│                     │                   │            │ normal_add_2_9[0… │\n│                     │                   │            │ normal_add_3_9[0… │\n│                     │                   │            │ normal_add_4_9[0… │\n│                     │                   │            │ normal_add_5_9[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_151      │ (None, 6, 6, 704) │          0 │ reduction_concat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_152      │ (None, 6, 6,      │          0 │ normal_concat_9[… │\n│ (Activation)        │ 1056)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 6, 6, 176) │    123,904 │ activation_151[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_10    │ (None, 6, 6, 176) │    185,856 │ activation_152[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_10        │ (None, 6, 6, 176) │        704 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_10      │ (None, 6, 6, 176) │        704 │ normal_conv_1_10… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_153      │ (None, 6, 6, 176) │          0 │ normal_bn_1_10[0… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_155      │ (None, 6, 6, 176) │          0 │ adjust_bn_10[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_157      │ (None, 6, 6, 176) │          0 │ adjust_bn_10[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_159      │ (None, 6, 6, 176) │          0 │ adjust_bn_10[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_161      │ (None, 6, 6, 176) │          0 │ normal_bn_1_10[0… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_153[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_155[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_157[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_159[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_161[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_154      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_156      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_158      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_160      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_162      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_154[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_156[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_158[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_160[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_162[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_10     │ (None, 6, 6, 176) │          0 │ normal_bn_1_10[0… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_10     │ (None, 6, 6, 176) │          0 │ adjust_bn_10[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_10    │ (None, 6, 6, 176) │          0 │ adjust_bn_10[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_10     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_10     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_10     │ (None, 6, 6, 176) │          0 │ normal_left3_10[… │\n│ (Add)               │                   │            │ adjust_bn_10[0][… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_10     │ (None, 6, 6, 176) │          0 │ normal_left4_10[… │\n│ (Add)               │                   │            │ normal_right4_10… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_10     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ normal_bn_1_10[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_10    │ (None, 6, 6,      │          0 │ adjust_bn_10[0][… │\n│ (Concatenate)       │ 1056)             │            │ normal_add_1_10[… │\n│                     │                   │            │ normal_add_2_10[… │\n│                     │                   │            │ normal_add_3_10[… │\n│                     │                   │            │ normal_add_4_10[… │\n│                     │                   │            │ normal_add_5_10[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_163      │ (None, 6, 6,      │          0 │ normal_concat_9[… │\n│ (Activation)        │ 1056)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_164      │ (None, 6, 6,      │          0 │ normal_concat_10… │\n│ (Activation)        │ 1056)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 6, 6, 176) │    185,856 │ activation_163[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_11    │ (None, 6, 6, 176) │    185,856 │ activation_164[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_11        │ (None, 6, 6, 176) │        704 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_11      │ (None, 6, 6, 176) │        704 │ normal_conv_1_11… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_165      │ (None, 6, 6, 176) │          0 │ normal_bn_1_11[0… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_167      │ (None, 6, 6, 176) │          0 │ adjust_bn_11[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_169      │ (None, 6, 6, 176) │          0 │ adjust_bn_11[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_171      │ (None, 6, 6, 176) │          0 │ adjust_bn_11[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_173      │ (None, 6, 6, 176) │          0 │ normal_bn_1_11[0… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_165[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_167[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_169[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_171[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_173[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_166      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_168      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_170      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_172      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_174      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_166[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_168[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_170[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_172[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_174[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_11     │ (None, 6, 6, 176) │          0 │ normal_bn_1_11[0… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_11     │ (None, 6, 6, 176) │          0 │ adjust_bn_11[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_11    │ (None, 6, 6, 176) │          0 │ adjust_bn_11[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_11     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_11     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_11     │ (None, 6, 6, 176) │          0 │ normal_left3_11[… │\n│ (Add)               │                   │            │ adjust_bn_11[0][… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_11     │ (None, 6, 6, 176) │          0 │ normal_left4_11[… │\n│ (Add)               │                   │            │ normal_right4_11… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_11     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ normal_bn_1_11[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_11    │ (None, 6, 6,      │          0 │ adjust_bn_11[0][… │\n│ (Concatenate)       │ 1056)             │            │ normal_add_1_11[… │\n│                     │                   │            │ normal_add_2_11[… │\n│                     │                   │            │ normal_add_3_11[… │\n│                     │                   │            │ normal_add_4_11[… │\n│                     │                   │            │ normal_add_5_11[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_175      │ (None, 6, 6,      │          0 │ normal_concat_10… │\n│ (Activation)        │ 1056)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_176      │ (None, 6, 6,      │          0 │ normal_concat_11… │\n│ (Activation)        │ 1056)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_conv_projec… │ (None, 6, 6, 176) │    185,856 │ activation_175[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_conv_1_12    │ (None, 6, 6, 176) │    185,856 │ activation_176[0… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ adjust_bn_12        │ (None, 6, 6, 176) │        704 │ adjust_conv_proj… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_bn_1_12      │ (None, 6, 6, 176) │        704 │ normal_conv_1_12… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_177      │ (None, 6, 6, 176) │          0 │ normal_bn_1_12[0… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_179      │ (None, 6, 6, 176) │          0 │ adjust_bn_12[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_181      │ (None, 6, 6, 176) │          0 │ adjust_bn_12[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_183      │ (None, 6, 6, 176) │          0 │ adjust_bn_12[0][… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_185      │ (None, 6, 6, 176) │          0 │ normal_bn_1_12[0… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_177[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_179[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     35,376 │ activation_181[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_183[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_n… │ (None, 6, 6, 176) │     32,560 │ activation_185[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_1_b… │ (None, 6, 6, 176) │        704 │ separable_conv_1… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_178      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_180      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_182      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_184      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_186      │ (None, 6, 6, 176) │          0 │ separable_conv_1… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_178[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_180[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     35,376 │ activation_182[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_184[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_n… │ (None, 6, 6, 176) │     32,560 │ activation_186[0… │\n│ (SeparableConv2D)   │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left3_12     │ (None, 6, 6, 176) │          0 │ normal_bn_1_12[0… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_left4_12     │ (None, 6, 6, 176) │          0 │ adjust_bn_12[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_right4_12    │ (None, 6, 6, 176) │          0 │ adjust_bn_12[0][… │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ separable_conv_2_b… │ (None, 6, 6, 176) │        704 │ separable_conv_2… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_1_12     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_2_12     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ separable_conv_2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_3_12     │ (None, 6, 6, 176) │          0 │ normal_left3_12[… │\n│ (Add)               │                   │            │ adjust_bn_12[0][… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_4_12     │ (None, 6, 6, 176) │          0 │ normal_left4_12[… │\n│ (Add)               │                   │            │ normal_right4_12… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_add_5_12     │ (None, 6, 6, 176) │          0 │ separable_conv_2… │\n│ (Add)               │                   │            │ normal_bn_1_12[0… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ normal_concat_12    │ (None, 6, 6,      │          0 │ adjust_bn_12[0][… │\n│ (Concatenate)       │ 1056)             │            │ normal_add_1_12[… │\n│                     │                   │            │ normal_add_2_12[… │\n│                     │                   │            │ normal_add_3_12[… │\n│                     │                   │            │ normal_add_4_12[… │\n│                     │                   │            │ normal_add_5_12[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_187      │ (None, 6, 6,      │          0 │ normal_concat_12… │\n│ (Activation)        │ 1056)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ global_average_poo… │ (None, 1056)      │          0 │ activation_187[0… │\n│ (GlobalAveragePool… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (Dense)       │ (None, 1024)      │  1,082,368 │ global_average_p… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_1 (Dense)     │ (None, 5)         │      5,125 │ dense[0][0]       │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m5,357,209\u001b[0m (20.44 MB)\n","text/html":"
 Total params: 5,357,209 (20.44 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,087,493\u001b[0m (4.15 MB)\n","text/html":"
 Trainable params: 1,087,493 (4.15 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m4,269,716\u001b[0m (16.29 MB)\n","text/html":"
 Non-trainable params: 4,269,716 (16.29 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[reduce_lr,model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:53:12.402874Z","iopub.execute_input":"2024-06-09T08:53:12.403515Z","iopub.status.idle":"2024-06-09T08:56:07.636470Z","shell.execute_reply.started":"2024-06-09T08:53:12.403481Z","shell.execute_reply":"2024-06-09T08:56:07.631523Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m 2/88\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m4s\u001b[0m 56ms/step - accuracy: 0.1500 - loss: 2.1793 ","output_type":"stream"},{"name":"stderr","text":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1717923239.359729 1124 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 230ms/step - accuracy: 0.6164 - loss: 1.1031\nEpoch 1: val_accuracy improved from -inf to 0.92533, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m96s\u001b[0m 599ms/step - accuracy: 0.6182 - loss: 1.0978 - val_accuracy: 0.9253 - val_loss: 0.2378 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9378 - loss: 0.1953\nEpoch 2: val_accuracy did not improve from 0.92533\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9377 - loss: 0.1953 - val_accuracy: 0.9213 - val_loss: 0.2102 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9541 - loss: 0.1441\nEpoch 3: val_accuracy did not improve from 0.92533\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 0.9540 - loss: 0.1442 - val_accuracy: 0.9093 - val_loss: 0.2578 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9695 - loss: 0.0902\nEpoch 4: val_accuracy improved from 0.92533 to 0.93867, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 63ms/step - accuracy: 0.9695 - loss: 0.0903 - val_accuracy: 0.9387 - val_loss: 0.1810 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9813 - loss: 0.0658\nEpoch 5: val_accuracy improved from 0.93867 to 0.94400, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 61ms/step - accuracy: 0.9813 - loss: 0.0659 - val_accuracy: 0.9440 - val_loss: 0.1853 - learning_rate: 0.0010\nEpoch 6/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9775 - loss: 0.0706\nEpoch 6: val_accuracy did not improve from 0.94400\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9775 - loss: 0.0707 - val_accuracy: 0.9387 - val_loss: 0.1926 - learning_rate: 0.0010\nEpoch 7/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9867 - loss: 0.0470\nEpoch 7: val_accuracy improved from 0.94400 to 0.94667, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 59ms/step - accuracy: 0.9866 - loss: 0.0472 - val_accuracy: 0.9467 - val_loss: 0.1586 - learning_rate: 0.0010\nEpoch 8/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9779 - loss: 0.0588\nEpoch 8: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 40ms/step - accuracy: 0.9780 - loss: 0.0588 - val_accuracy: 0.9387 - val_loss: 0.1750 - learning_rate: 0.0010\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9911 - loss: 0.0287\nEpoch 9: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 0.9911 - loss: 0.0287 - val_accuracy: 0.9400 - val_loss: 0.1921 - learning_rate: 0.0010\nEpoch 10/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9978 - loss: 0.0116\nEpoch 10: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 0.9978 - loss: 0.0117 - val_accuracy: 0.9467 - val_loss: 0.1537 - learning_rate: 0.0010\nEpoch 11/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9985 - loss: 0.0089\nEpoch 11: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 0.9985 - loss: 0.0089 - val_accuracy: 0.9467 - val_loss: 0.1622 - learning_rate: 0.0010\nEpoch 12/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 1.0000 - loss: 0.0041\nEpoch 12: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 1.0000 - loss: 0.0041 - val_accuracy: 0.9440 - val_loss: 0.1626 - learning_rate: 0.0010\nEpoch 13/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 1.0000 - loss: 0.0035\nEpoch 13: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 1.0000 - loss: 0.0035 - val_accuracy: 0.9440 - val_loss: 0.1620 - learning_rate: 0.0010\nEpoch 14/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 1.0000 - loss: 0.0030\nEpoch 14: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 40ms/step - accuracy: 1.0000 - loss: 0.0030 - val_accuracy: 0.9440 - val_loss: 0.1623 - learning_rate: 0.0010\nEpoch 15/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 1.0000 - loss: 0.0025\nEpoch 15: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 15: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 41ms/step - accuracy: 1.0000 - loss: 0.0025 - val_accuracy: 0.9440 - val_loss: 0.1663 - learning_rate: 0.0010\nEpoch 16/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 1.0000 - loss: 0.0018\nEpoch 16: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 1.0000 - loss: 0.0018 - val_accuracy: 0.9453 - val_loss: 0.1624 - learning_rate: 1.0000e-04\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 1.0000 - loss: 0.0017\nEpoch 17: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 40ms/step - accuracy: 1.0000 - loss: 0.0017 - val_accuracy: 0.9440 - val_loss: 0.1629 - learning_rate: 1.0000e-04\nEpoch 18/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 1.0000 - loss: 0.0016\nEpoch 18: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 1.0000 - loss: 0.0016 - val_accuracy: 0.9440 - val_loss: 0.1631 - learning_rate: 1.0000e-04\nEpoch 19/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 1.0000 - loss: 0.0017\nEpoch 19: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 40ms/step - accuracy: 1.0000 - loss: 0.0017 - val_accuracy: 0.9440 - val_loss: 0.1626 - learning_rate: 1.0000e-04\nEpoch 20/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 1.0000 - loss: 0.0016\nEpoch 20: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 20: val_accuracy did not improve from 0.94667\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 1.0000 - loss: 0.0016 - val_accuracy: 0.9440 - val_loss: 0.1639 - learning_rate: 1.0000e-04\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:56:07.642939Z","iopub.execute_input":"2024-06-09T08:56:07.643290Z","iopub.status.idle":"2024-06-09T08:56:08.057709Z","shell.execute_reply.started":"2024-06-09T08:56:07.643261Z","shell.execute_reply":"2024-06-09T08:56:08.056769Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T08:56:08.058894Z","iopub.execute_input":"2024-06-09T08:56:08.059205Z","iopub.status.idle":"2024-06-09T08:56:08.341750Z","shell.execute_reply.started":"2024-06-09T08:56:08.059172Z","shell.execute_reply":"2024-06-09T08:56:08.340806Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"iVBORw0KGgoAAAANSUhEUgAAAkAAAAHHCAYAAABXx+fLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABYPElEQVR4nO3dd3xT5f4H8E+Stuke0EVLacusrLILCHqBahmyBBmiQFEQBBfXq6JAUa9y9SqiiOACHCyZcgXxBwXEARQoe8kolNEJdO/k+f1xSErsoGmTnKT5vF+vvG5zcnLyPT325sPzPOd5FEIIASIiIiI7opS7ACIiIiJLYwAiIiIiu8MARERERHaHAYiIiIjsDgMQERER2R0GICIiIrI7DEBERERkdxiAiIiIyO4wABEREZHdYQAiIqIK5s2bB4VCgczMTLlLITILBiAiG/bZZ59BoVAgKipK7lKIiGwKAxCRDVu5ciXCwsKQkJCACxcuyF0OEZHNYAAislFJSUn4888/sWDBAvj5+WHlypVyl1Sl/Px8uUuQhb2eN5EtYAAislErV66Ej48PBg0ahJEjR1YZgLKysvDSSy8hLCwMarUajRs3xvjx4w3GdhQVFWHevHlo2bIlnJ2d0ahRIzz66KO4ePEiAGDPnj1QKBTYs2ePwbEvX74MhUKBFStW6LdNnDgR7u7uuHjxIgYOHAgPDw+MGzcOAPDbb7/hscceQ5MmTaBWqxESEoKXXnoJhYWFFeo+e/YsRo0aBT8/P7i4uKBVq1Z44403AAC7d++GQqHApk2bKrxv1apVUCgU2LdvX5W/uxUrVkChUGDv3r145pln0LBhQ3h6emL8+PG4fft2hf1//vln9O7dG25ubvDw8MCgQYNw6tQpg32qO++qXL9+HZMmTUJAQADUajXatGmDZcuWGeyj+92vXbsWr7/+OgIDA+Hm5oYhQ4bg6tWrFY65bt06dO7cGS4uLvD19cUTTzyB69evV9ivut/v3bKysjBx4kR4e3vDy8sLsbGxKCgoqPa8iGyBg9wFEFHtrFy5Eo8++iicnJwwduxYLFmyBAcPHkTXrl31++Tl5aF37944c+YMJk2ahE6dOiEzMxNbtmzBtWvX4OvrC41Gg0ceeQTx8fEYM2YMXnjhBeTm5mLHjh04efIkmjVrZnRtZWVliImJQa9evfDBBx/A1dUVgPTlXFBQgGnTpqFhw4ZISEjAokWLcO3aNaxbt07//uPHj6N3795wdHTElClTEBYWhosXL+J///sf3nnnHfzjH/9ASEgIVq5cieHDh1f4vTRr1gw9evS4Z50zZsyAt7c35s2bh3PnzmHJkiW4cuWKPnQAwHfffYcJEyYgJiYG7733HgoKCrBkyRL06tULR44cQVhY2D3PuzJpaWno3r07FAoFZsyYAT8/P/z888946qmnkJOTgxdffNFg/3feeQcKhQKvvvoq0tPTsXDhQkRHR+Po0aNwcXEBIAW72NhYdO3aFfPnz0daWho+/vhj/PHHHzhy5Ai8vb1r9Pu926hRoxAeHo758+cjMTERX331Ffz9/fHee+/d8/dLZNUEEdmcQ4cOCQBix44dQgghtFqtaNy4sXjhhRcM9ps7d64AIDZu3FjhGFqtVgghxLJlywQAsWDBgir32b17twAgdu/ebfB6UlKSACCWL1+u3zZhwgQBQLz22msVjldQUFBh2/z584VCoRBXrlzRb3vggQeEh4eHwba76xFCiFmzZgm1Wi2ysrL029LT04WDg4OIi4ur8Dl3W758uQAgOnfuLEpKSvTb33//fQFA/Pjjj0IIIXJzc4W3t7eYPHmywftTU1OFl5eXwfbqzrsyTz31lGjUqJHIzMw02D5mzBjh5eWl/13pfvfBwcEiJydHv98PP/wgAIiPP/5YCCFESUmJ8Pf3F23bthWFhYX6/X766ScBQMydO1e/rSa/37i4OAFATJo0yWCf4cOHi4YNG9boHImsGbvAiGzQypUrERAQgD59+gAAFAoFRo8ejTVr1kCj0ej327BhAyIjIyu0kujeo9vH19cXzz33XJX71Ma0adMqbNO1VADS+JjMzEz07NkTQggcOXIEAJCRkYG9e/di0qRJaNKkSZX1jB8/HsXFxVi/fr1+29q1a1FWVoYnnniiRjVOmTIFjo6OBjU7ODhg27ZtAIAdO3YgKysLY8eORWZmpv6hUqkQFRWF3bt31+i8/04IgQ0bNmDw4MEQQhgcOyYmBtnZ2UhMTDR4z/jx4+Hh4aF/PnLkSDRq1Ehf66FDh5Ceno5nn30Wzs7O+v0GDRqEiIgIbN26FUDNf786U6dONXjeu3dv3Lx5Ezk5Ofc8TyJrxgBEZGM0Gg3WrFmDPn36ICkpCRcuXMCFCxcQFRWFtLQ0xMfH6/e9ePEi2rZtW+3xLl68iFatWsHBwXQ94g4ODmjcuHGF7cnJyZg4cSIaNGgAd3d3+Pn54cEHHwQAZGdnAwAuXboEAPesOyIiAl27djUY+7Ry5Up0794dzZs3r1GdLVq0MHju7u6ORo0a4fLlywCA8+fPAwD69u0LPz8/g8f//d//IT09vUbn/XcZGRnIysrCF198UeG4sbGxAFDh2H+vVaFQoHnz5vpar1y5AgBo1apVhc+LiIjQv17T36/O30OSj48PAFQ6VorIlnAMEJGN2bVrF1JSUrBmzRqsWbOmwusrV67Eww8/bNLPrKol6O7Wprup1WoolcoK+z700EO4desWXn31VURERMDNzQ3Xr1/HxIkTodVqja5r/PjxeOGFF3Dt2jUUFxdj//79+PTTT40+TlV0NX333XcIDAys8PrfQ2Nl513dcZ944glMmDCh0n3at29vbLlmoVKpKt0uhLBwJUSmxQBEZGNWrlwJf39/LF68uMJrGzduxKZNm7B06VK4uLigWbNmOHnyZLXHa9asGQ4cOIDS0lKD7qC76f7Vn5WVZbBd16pQEydOnMBff/2Fb775BuPHj9dv37Fjh8F+TZs2BYB71g0AY8aMwcyZM7F69WoUFhbC0dERo0ePrnFN58+f13cjAtKg8ZSUFAwcOBAA9APA/f39ER0dXePj3oufnx88PDyg0WhqfFxda5SOEAIXLlzQB6XQ0FAAwLlz59C3b1+Dfc+dO6d/3ZjfL1F9xi4wIhtSWFiIjRs34pFHHsHIkSMrPGbMmIHc3Fxs2bIFADBixAgcO3as0tvFdf+CHzFiBDIzMyttOdHtExoaCpVKhb179xq8/tlnn9W4dl1Lwt0tB0IIfPzxxwb7+fn54YEHHsCyZcuQnJxcaT06vr6+GDBgAL7//nusXLkS/fv3h6+vb41r+uKLL1BaWqp/vmTJEpSVlWHAgAEAgJiYGHh6euLdd9812E8nIyOjxp91N5VKhREjRmDDhg2VBpHKjvvtt98iNzdX/3z9+vVISUnR19qlSxf4+/tj6dKlKC4u1u/3888/48yZMxg0aBAA436/RPUZW4CIbMiWLVuQm5uLIUOGVPp69+7d9ZMijh49Gv/617+wfv16PPbYY5g0aRI6d+6MW7duYcuWLVi6dCkiIyMxfvx4fPvtt5g5cyYSEhLQu3dv5OfnY+fOnXj22WcxdOhQeHl54bHHHsOiRYugUCjQrFkz/PTTTxXGqVQnIiICzZo1w8svv4zr16/D09MTGzZsqHQsySeffIJevXqhU6dOmDJlCsLDw3H58mVs3boVR48eNdh3/PjxGDlyJADg7bffrvkvE0BJSQn69euHUaNG4dy5c/jss8/Qq1cv/e/X09MTS5YswZNPPolOnTphzJgx8PPzQ3JyMrZu3Yr777+/1l1u//nPf7B7925ERUVh8uTJaN26NW7duoXExETs3LkTt27dMti/QYMG6NWrF2JjY5GWloaFCxeiefPmmDx5MgDA0dER7733HmJjY/Hggw9i7Nix+tvgw8LC8NJLL+mPZczvl6jekunuMyKqhcGDBwtnZ2eRn59f5T4TJ04Ujo6O+turb968KWbMmCGCg4OFk5OTaNy4sZgwYYLB7dcFBQXijTfeEOHh4cLR0VEEBgaKkSNHiosXL+r3ycjIECNGjBCurq7Cx8dHPPPMM+LkyZOV3gbv5uZWaW2nT58W0dHRwt3dXfj6+orJkyeLY8eOVTiGEEKcPHlSDB8+XHh7ewtnZ2fRqlUrMWfOnArHLC4uFj4+PsLLy8vg9u/q6G6D//XXX8WUKVOEj4+PcHd3F+PGjRM3b96ssP/u3btFTEyM8PLyEs7OzqJZs2Zi4sSJ4tChQzU676qkpaWJ6dOni5CQEP3vvV+/fuKLL74w+GwAYvXq1WLWrFnC399fuLi4iEGDBlW4jV0IIdauXSs6duwo1Gq1aNCggRg3bpy4du1ahf3u9fvV3QafkZFR6e8uKSnJqHMlsjYKIdjmSUS2q6ysDEFBQRg8eDC+/vrrGr1HN2HgwYMH0aVLFzNXWDd79uxBnz59sG7dOn1LFxHVHccAEZFN27x5MzIyMgwGVhMR3QvHABGRTTpw4ACOHz+Ot99+Gx07dtTPJ0REVBNsASIim7RkyRJMmzYN/v7++Pbbb+Uuh4hsDMcAERERkd1hCxARERHZHQYgIiIisjscBF0JrVaLGzduwMPDo06rYRMREZHlCCGQm5uLoKCge67LxwBUiRs3biAkJETuMoiIiKgWrl69isaNG1e7DwNQJTw8PABIv0BPT0+ZqyEiIqKayMnJQUhIiP57vDoMQJXQdXt5enoyABEREdmYmgxf4SBoIiIisjsMQERERGR3GICIiIjI7jAAERERkd1hACIiIiK7wwBEREREdocBiIiIiOwOAxARERHZHQYgIiIisjsMQERERGR3ZA1Ae/fuxeDBgxEUFASFQoHNmzff8z179uxBp06doFar0bx5c6xYsaLCPosXL0ZYWBicnZ0RFRWFhIQE0xdPRERENkvWAJSfn4/IyEgsXry4RvsnJSVh0KBB6NOnD44ePYoXX3wRTz/9NH755Rf9PmvXrsXMmTMRFxeHxMREREZGIiYmBunp6eY6DSIiIrIxCiGEkLsIQFq4bNOmTRg2bFiV+7z66qvYunUrTp48qd82ZswYZGVlYfv27QCAqKgodO3aFZ9++ikAQKvVIiQkBM899xxee+21GtWSk5MDLy8vZGdnczFUIjILIQQKSzXILiyFRmsV/zdMZFEeakd4uTqa9JjGfH/b1Grw+/btQ3R0tMG2mJgYvPjiiwCAkpISHD58GLNmzdK/rlQqER0djX379lV53OLiYhQXF+uf5+TkmLZwIqrXyjRaZBWWIqugBLcLSpFVUIrbBSV3PS/B7Xzdtjv/W1iKkjKt3KUTyebZfzTDK/0jZPt8mwpAqampCAgIMNgWEBCAnJwcFBYW4vbt29BoNJXuc/bs2SqPO3/+fLz55ptmqZmIbEOpRou8ojLkFZcht6gMuUWlyCuWnpcHmlLDUHNne25RWa0/10GpgEqpMOGZENkGB5n/u7epAGQus2bNwsyZM/XPc3JyEBISImNFRFRTQgjcLihFXlEZcotLkVtUVh5kinU/l28v36YLO9JrxSZojfF0doCPmxO8XZ3g7eIIH1dHeLs6wcfVCT5uup8d4e3iBG9XR/i4OcHNSQWFggGIyNJsKgAFBgYiLS3NYFtaWho8PT3h4uIClUoFlUpV6T6BgYFVHletVkOtVpulZiIyj4zcYqw7fBWrE5Jx9VahyY7r4qiCu7MDPJwd4KF2gJvaAV4u5eHFx/VOeLnzv7rtXi6OcFBxZhEiW2FTAahHjx7Ytm2bwbYdO3agR48eAAAnJyd07twZ8fHx+sHUWq0W8fHxmDFjhqXLJSITE0Jg36WbWHUgGb+cSkWppnzwsKuTCu5qhzvhxREeagf9c3e1AzyddT87Svvo95Ve91A7wk2tYoghshOyBqC8vDxcuHBB/zwpKQlHjx5FgwYN0KRJE8yaNQvXr1/Ht99+CwCYOnUqPv30U7zyyiuYNGkSdu3ahR9++AFbt27VH2PmzJmYMGECunTpgm7dumHhwoXIz89HbGysxc+PiEwjq6AE6w9fw6qEZFzKyNdv7xDijXFRTfBI+yC4OKlkrJCIbI2sAejQoUPo06eP/rluHM6ECROwYsUKpKSkIDk5Wf96eHg4tm7dipdeegkff/wxGjdujK+++goxMTH6fUaPHo2MjAzMnTsXqamp6NChA7Zv315hYDQRWTchBBKTs7DywBX8dDxFf8eUm5MKwzoG4/GoJmgT5CVzlURkq6xmHiBrwnmAiOSTW1SKzUeuY+WBZJxNzdVvv6+RJ57o3gRDOwTDXW1TvfdEZCH1dh4gIqq/Tl7PxsoDV/Dj0RsoKNEAANQOSgyODMK4qCboEOLNu6WIyGQYgIhINgUlZfjpWApWHriCY9ey9dub+7tjXFQTPNqxsclniiUiAhiAiEgG51JzserAFWxMvI7cYmkSQSeVEv3bBmJcVBN0C2/A1h4iMisGICKyiKJSDbafTMXKA1dw8PJt/fbQhq54vFsTjOzcGA3dOR8XEVkGAxARmVVmXjG+2HsJ6w5dxe2CUgCASqnAQ/cFYFz3Jri/mS+UXAqCiCyMAYiIzObk9WxM+fYQbmQXAQCCvJwxplsTjO4aggBPZ5mrIyJ7xgBERGbx84kUzPzhGApLNWjq54Y3Bt6Hf7Ty58KfRGQVGICIyKSEEFi06wIW7PgLAPBASz8sGtsRXi68m4uIrAcDEBGZTFGpBv9afxz/O3YDABB7fxjeGHgf19ciIqvDAEREJpGaXYQp3x3C8WvZcFAq8PawthjbrYncZRERVYoBiIjq7NjVLEz+9hDSc4vh4+qIJU90RvemDeUui4ioSgxARFQnW47dwL/WHUNxmRYtA9zx1fiuaNLQVe6yiIiqxQBERLWi1Qp8tPMvLNp1AQDQL8IfC8d0gIczBzsTkfVjACIioxWUlGHm2mPYfioVAPDMA03xSv8I3uJORDaDAYiIjHI9qxCTvzmE0yk5cFIp8e6j7TCyc2O5yyIiMgoDEBHV2OErt/HMd4eRmVcMX3cnfP5kZ3QObSB3WURERmMAIqIa2Zh4Da9tOIESjRb3NfLEl+M7o7EPBzsTkW1iACKiamm0Av/95RyW/noRABDTJgALRnWAm5r/90FEtov/D0Zk5YQQ2HfpJrIKStEl1Af+FlxENK+4DC+uOYKdZ9IBADP6NMfMh1py9XYisnkMQERWLCkzH3N/PInfzmfqt4U1dEXXsAboFi49mjRwhUJh+kBy9VYBnv7mEM6l5cLJQYn/jmyPoR2CTf45RERyYAAiskJFpRp8tucilu65iBKNFk4qJZr6ueFcWi4u3yzA5ZsFWHf4GgDA30OtD0NdwxqgVYBHnVtoEpJuYer3h3ErvwR+Hmp8Ob4LOoR4m+DMiIisAwMQkZXZfTYdcVtOIflWAQBpNfU3h7RBuK8bsgtLkXjlNhIu38LBpFs4di0L6bnF+Ol4Cn46ngIA8HJxRJdQH3S9E4raBnnByaHmi5GuPZiM2ZtPolQj0C7YC1+M74xGXi5mOVciIrkohBBC7iKsTU5ODry8vJCdnQ1PT0+5yyE7cT2rEG/97xR+OZUGAAj0dMbcwa0xoG1glV1cRaUaHL2ahYNJt5Bw+RYOX7mNghKNwT7Ojkp0auKj7zbr2MQbrk4V/+2j0Qq8u+0Mvv49CQAwqH0jfDAyEi5OKhOfKRGReRjz/c0AVAkGILKkkjItvv49CZ/En0dhqQYqpQJP9QrH8/1awN3IO63KNFqcTslBQtItJCTdwsHLt3C7oNRgHwelAm2DvaRus7AG6BLmA6VSgedWHcGvf2UAAF6Kbonn+zU3y9giIiJzYQCqIwag+qeoVINTN7LRIsADnla0VtW+izcx58eTuJCeBwDoFtYAbw9ri1aBHiY5vlYrcDEjT99llpB0Czeyiyrs5+HsgNyiMjg7KrFgVAcMbNfIJJ9PRGRJDEB1xABUfxSVarDyQDKW/noRGbnFcHJQol+EP4ZEBqFPhD+cHeXp3knPLcL8bWex6ch1AEBDNye8PvA+PNop2OytLtduF+hbhxKSbuFiRj4Aqcvtqwld0DbYy6yfT0RkLgxAdcQAZPsKSzRYeeAKPt97CRm5xQAAF0cVCkvLx8d4qB0Q0zYQQzsEoUfThnBQ1XygcG1ptALf77+CD/7vHHKLyqBQAOOimuBfD0fAy1WelqnMvGKcT8tDm2BPq2odIyIyFgNQHTEA2S5d8Fn66yVk5knBJ9jbBTP6NseITo1xPj0XW47ewJZjN5ByV1eQr7sTHmkfhCEdgtAxxNssrTBHkm9jzo8ncfJ6DgCgfWMvvD20LSJ5ezkRkUkwANURA5DtKSgpw8r9yfh870Vk5pUAABr7uGBGn+Z4tFPjCreBa7UCh67cxo9Hr2PbiRSDgcIhDVwwJDIIQzsEo2VA3cfiZBWU4L3t57DmYDKEADydHfCv/hF4vFsTqDijMhGRyTAA1REDkO0oKCnDd/uu4Iu9l3AzXwo+IQ1c8FyfFhjeKRiONejWKtVo8fv5TPx49Dr+73SawW3kEYEeGNIhCIPbByGkgXELf2q1AusTr+E/P5/FrTu1jejUGLMGRsDXXW3UsYiI6N4YgOqIAcj65ReX4bv9V/DlXcGnSQNXzOjbHMM71iz4VKagpAzxZ9Lx49Eb+PWvdJRqyv88uoT6YEiHIAxs1+ieAeZMSg7mbD6JQ1duAwBaBrjj7aFtEdW0Ya3qIiKie2MAqiMGIOuVX1yGb/ddwZe/XdK3qoQ2dMWMPs0xrA7BpzJZBSXYfjIVPx69gf1JN6H7S1EpFejV3BdDIoPwcJsAeNw1cDivuAwf7fgLK/68DI1WwNVJhRejWyD2/nCT1kZERBUxANURA5D1ySsuw7f7LuPLvZf043XCGrpiRt8WGNYhyOx3cKVmF+Gn49Lg6ePXsvXb1Q5KRN8XgMGRQSjRaPHO1tNIy5EGXw9sF4g5j7TmMhJERBbCAFRHDEDWI6+4DN/8eRlf/nYJWXeCT7ivG2b0aY6hFgg+lUnKzMeWozfw47HruHRnDp27hTV0xZtD2+LBln4Wr42IyJ4xANURA5D8cotK8c2fl/HV70n64NPU1w0z+jbHkEh5gs/fCSFw6kYOthy7gS1HbyCnqBTPPNAMzzzYVLYJFomI7BkDUB0xAMknt6gUK/6Qgk92YXnweb5fCwyODLLa28a1WgGFAlw7i4hIRsZ8fxu30iKRmWi0Akt/vYgv9l4qDz5+bnihXws80t56g4+O0srrIyIiQwxAZBUW7TqPhTvPAwCa+UktPrYQfIiIyDYxAJHs/ryYiY/jpfAz95HWmNAzjMGHiIjMigGIZJWZV4wX1xyFEMCoLo0xqVe43CUREZEdkP9WGrJbWq3AzB+OIT23GC383TFvSBu5SyIiIjvBAESyWbr3Ivb+lQFnRyUWj+sEVyc2SBIRkWUwAJEsDl2+hQ//7y8AwJtD2phk1XUiIqKaYgAii7udX4LnVx+BRiswrEMQRnUJkbskIiKyMwxAZFFCCPxr/THcyC5CuK8b/j28HScPJCIii2MAIota9sdl7DyTDicHJT59vCPc1Rz3Q0RElscARBZz7GoW/vPzGQDAnEH3oU2Ql8wVERGRvWIAIovILizFjNWJKNUIDGwXiCe6h8pdEhER2TEGIDI7IQRmbTyOq7cKEdLABfMfbc9xP0REJCsGIDK77w8kY9uJVDiqFPh0bCd4uTjKXRIREdk5BiAyq1M3svH2T6cBAK/2j0BkiLe8BREREYEBiMwor7gMM1YdQUmZFv0i/PEU1/kiIiIrwQBEZiGEwBubTiApMx9BXs744LFIjvshIiKrwQBEZrHu0DX8ePQGVEoFPhnbET5uTnKXREREpMcARCb3V1ou5m45CQD458Mt0SWsgcwVERERGWIAIpMqKCnD9JWJKCrVoncLX0x9oJncJREREVXAAEQmNW/LKZxPz4Ofhxofje4ApZLjfoiIyPowAJHJbDpyDT8cugalAvh4TAf4uqvlLomIiKhSDEBkEpcy8vDGJmncz/P9WqBnM1+ZKyIiIqoaAxDVWVGpBtNXHUFBiQbdmzbAc31byF0SERFRtRiAqM7+vfU0zqTkoKGbEz4e0xEqjvshIiIrxwBEdbL1eAq+358MAFgwugMCPJ1lroiIiOjeGICo1pJvFuC1DccBANP+0QwPtvSTuSIiIqKaYQCiWikp02LG6kTkFpehS6gP/vlQS7lLIiIiqjEGIKqV97afxfFr2fB2dcQnYzvCQcX/lIiIyHbI/q21ePFihIWFwdnZGVFRUUhISKhy39LSUrz11lto1qwZnJ2dERkZie3btxvsM2/ePCgUCoNHRESEuU/Druw4nYavf08CAHwwMhJB3i4yV0RERGQcWQPQ2rVrMXPmTMTFxSExMRGRkZGIiYlBenp6pfvPnj0bn3/+ORYtWoTTp09j6tSpGD58OI4cOWKwX5s2bZCSkqJ//P7775Y4HbtwPasQL687BgB4qlc4olsHyFwRERGR8WQNQAsWLMDkyZMRGxuL1q1bY+nSpXB1dcWyZcsq3f+7777D66+/joEDB6Jp06aYNm0aBg4ciA8//NBgPwcHBwQGBuofvr6clM8USjVaPL/6CLILSxHZ2Auv9mfLGhER2SbZAlBJSQkOHz6M6Ojo8mKUSkRHR2Pfvn2Vvqe4uBjOzoa3Wbu4uFRo4Tl//jyCgoLQtGlTjBs3DsnJydXWUlxcjJycHIMHVfTh//2Fw1duw8PZAZ8+3glODrL3oBIREdWKbN9gmZmZ0Gg0CAgw7EIJCAhAampqpe+JiYnBggULcP78eWi1WuzYsQMbN25ESkqKfp+oqCisWLEC27dvx5IlS5CUlITevXsjNze3ylrmz58PLy8v/SMkJMQ0J1mPrDt0FUt/vQgAeG9Ee4Q0cJW5IiIiotqzqX/Cf/zxx2jRogUiIiLg5OSEGTNmIDY2Fkpl+WkMGDAAjz32GNq3b4+YmBhs27YNWVlZ+OGHH6o87qxZs5Cdna1/XL161RKnYzP2nEvHaxtPAACmPtgMA9s1krkiIiKiupEtAPn6+kKlUiEtLc1ge1paGgIDAyt9j5+fHzZv3oz8/HxcuXIFZ8+ehbu7O5o2bVrl53h7e6Nly5a4cOFClfuo1Wp4enoaPEhy4lo2nl2ZCI1WYHjHYLwS00rukoiIiOpMtgDk5OSEzp07Iz4+Xr9Nq9UiPj4ePXr0qPa9zs7OCA4ORllZGTZs2IChQ4dWuW9eXh4uXryIRo3YamGs5JsFiF2RgIISDXo198V7I9pDyXW+iIioHnCQ88NnzpyJCRMmoEuXLujWrRsWLlyI/Px8xMbGAgDGjx+P4OBgzJ8/HwBw4MABXL9+HR06dMD169cxb948aLVavPLKK/pjvvzyyxg8eDBCQ0Nx48YNxMXFQaVSYezYsbKco626lV+CCcsTkJlXgtaNPLHkCQ56lo1WC/z1M6BSA837AQqGUD0hgMu/ATeOmvdz3PwA//sAv1aAI+e9IqoPZA1Ao0ePRkZGBubOnYvU1FR06NAB27dv1w+MTk5ONhjfU1RUhNmzZ+PSpUtwd3fHwIED8d1338Hb21u/z7Vr1zB27FjcvHkTfn5+6NWrF/bv3w8/P65TVVOFJRpMWnEQSZn5CPZ2wfLYrvBwdpS7LPsjBHB2K7D7HSD9tLQtqCPQdzbQzM6DUEk+cHwtcOBzIOOs5T5XoQQaNJXCkH/r8v9t0BRQ8W+EyJYohBBC7iKsTU5ODry8vJCdnW1344HKNFpM/f4wdp5Jh7erI9ZP7Ynm/u5yl2VfhAAuxAO7/w3cuDPJp9oL0JYBpfnS8yY9pSAUdr98dcrh9hXg4JdA4rdAUba0zckdaPEQ4OBc/XtrSwgg5zqQdgoovFX5PionwLflnUB0VzjyagIo2XJqFYQAirKA/EwgP0N6FN4G1J5SC5/u4eLDa2bDjPn+lrUFiKyLEAJzfjyFnWfSoXZQ4qvxXRh+LC3pN2DXv4Gr+6Xnjm5A92lAzxmApgz4/SPg4FdA8p/AioFA0z5SEGrcRd66zUnXzXXgc+DcNkBope0+4UDUM0CHxwFnL8vUkZ8hBaH0M1KrXPoZqQWqJA9IOyk97uboBvhHVGwxcg+w7xY8UykpAAp0geauYGPw813PtWX3PqZCBbg2vBOIfO8KR76GQUn33MmN19JGsQWoEvbaArQo/jw+3PEXFApgybjO6N+28rvxbFJuKnA9EQjuBHhY4XldPSi1+FzaIz13cAa6Pg30ekn6P9q75dwA9n4gtYJoS6VtLQcAfV4HGrW3aNlmVVIAnFgnBZ/0U+Xbm/UFoqYCzR+yjn+pa7VA9lXDUJR+Bsg8B2hKKn+Pi095IPKLkL5EqSIhgOKcKoJNphQ8jaX2Kg8vLt5Aca5hi5CxHFyqDksu3lK3KVXOvzUQ1MGkhzTm+5sBqBL2GIB+OHQVr6w/DgB4a2gbjO8RJm9BplBwCzj9I3ByA3D5dwACgAII6wW0HQG0Hgq4NpC3xpRjwO53gb/uLOqrdAQ6TwB6vwx43uPOxduXgV//CxxbVd4q0nqYFIT8bHi6gqyrUitX4jflX0iObkCHsUC3KbZzbpoy4Nalu0LRnf+9dbH8elHdqZwAN/+atda4+QIO6qqPpSmtpiXp7z+nA2VFljvP+qjXTCA6zqSHZACqI3sLQLvPpePpbw5BoxWY9o9mtr3GV1GONHD45Abg0m7DJm+fcOB2UvlzpYPUhdR2BBAxCHC24LXOOCcNbj79o/RcoZK+4B94BfAJNe5YmeeBPfOlcwakf3G2GwX841VpcK4tEAK48idwYClw9qfygOAdKoWejk9I/5quD0oLgcy/ykNR5vmqW4oIUHvcCS9VhBy1hzxdUEJIg/Gr63IryrJ8XbakzaNAx3EmPSQDUB3ZUwA6fi0LY77Yj4ISDR7tGIwPR0VCYWv92SUFUgvKyQ3A+R2Aprj8tcD2UsBp+yjg3UQaRHtqk7Rv6vHy/VRqaSBtu5FAixjAyUxLfdy6BOx5Dzjxw50veYX0mQ++Bvg2r9uxU09KQejsT9JzpYMUHB74F+DVuM6lm0VpIXBivdTNlXaifHv4g1I3V8sYQKmSrz4isikMQHVkLwEo+WYBHl3yBzLzStC7hS++ntDVdub6KSsGLu6SgszZbeV3RwHS3ThtR0qhx7dF1cfIPA+c3AicXC/9i1zH0Q2IGCgFp2Z9q28yr6msq8De/wJHvgeERtoW8QjQ5w0goHXdj3+364elbrULO6XnKiegyySpudkjoPr3Wkr2damb6/CK8jurHFyAyDFSi4+pfydEZBcYgOrIHgLQzbxijFy6D0mZ+WjdyBM/TO0Bd7WV3xSoKQMu75VCz5n/ld8GDUhdJW1HSI+ANsY1iQsh3dlzcoP0yLpS/pqzF3DfYOm4YQ8AKiN/R7lpwG8fAoeXl3dzNH8I6PuGNKePOV3ZJ91RduV36bmDCxA1Bbj/RXnGPgkBXD0gdXOd3lIeBL1CgG6TgY5Pyj8mi4hsGgNQHdX3AFRQUoaxXx7AsatZCPZ2waZne8Lf00xzqNSVVit9aZ7cAJzeLPWr67gHSq08bUcAwZ1NMw5ACKkF5eQGqXUoL7X8NTc/aZBx2xFASFT1dyAV3AL+WAgc+AIoK5S2hfWWbllv0r3uddaUENKdZbv+DVw/JG1z8gB6PAv0mG7e28e1Gun3kJ8hzWeU8Lk06FsnrLd0G3vLAcYHSyKiSjAA1VF9DkBlGi2e+e4w4s9a8USHQkhfmCc3SON1cq6Xv+bSAGgzTAohTXqYd3yIVgMk77tTx2bDSfA8g4E2w6U6gjqWh6+ibGDfYmDfZ0BJrrStcVeg7xyg6YPmq/VehAD++kUKQrqxNs7ewP0vSCGkJrdhC3HXLcM1mHOl4CakO+/u4uAMtB8FdHsGCGxr6rMkIjvHAFRH9TUACSHw+qYTWJ1wFWoHJVZNjkLnUCvqcsg8DxxbIwWOu+/WUnve6YZ6VBocK8eSA5pSIOlXqVXozP+kuUl0fMKlIOToDPz5afmdH4HtpeDT4iHrmShNqwXObJHGCGWek7a5+UnzDfm2qjzI3P3z3QPMa8qlAeAZJP2OOk0A3Bqa9pyIiO5gAKqj+hqAPok/jwU7/oJSASx5ojNi2ljRhIBXE4AVg8rHyTi4AK0GSF+azaOlcGEtSoukAcYnNwDnfi7v4tLxi5Dm4okYbB0T9VVGq5HuvtrzrjSfkDEc3Wo454qfNKMuu7eIyEIYgOqoPgagHw5exSsbpNu+3x7WFk92N3KuGXMSAlg+QOpuatz1zu3P/QG1lXXNVaY4784t+BulLrIuk6TQZiu3bmtKgaMrpTuyBGoQbHw5azERWS0GoDqqbwHo7okOn/1HM7xibRMd/vV/wKrHpPEhzx+RukuIiIiMZMz3t5W2z5OpHLuahWe/T4RGK/Bop2D8K8bKlhHQaoH4t6Sfu01h+CEiIotgAKrHrtzMx6QVB1FYqkHvFr54b0R765vl+dRG6a4ktac0EJeIiMgCGIDqqZt5xZiwLAE380vQJsgTS57oDEeVlV1uTal0WzYA9Hyek+AREZHFWNk3IplCQUkZJn1zCJdvFqCxjwuWx3a1zlmej3wn3e7u5gd0nyZ3NUREZEcYgOqZMo0WM1YdwbGrWfB2dcQ3k7rB38OKbiHXKSmQFgUFpMU6beGOLyIiqjcYgOoRIQTm/HgSu86mQ+2gxNcTuqKZn5UGi4QvpGUmvJoAnSfKXQ0REdkZBqB6ZPkfl7E64SqUCuCTsR3ROdRH7pIqV5gF/P6R9HOfWaZZbZ2IiMgIDED1yP+O3wAAvBzTyrpmef67Pz+RlovwiwDaj5a7GiIiskMMQPVIeo60TlOPpla81lJuGrB/ifRz3zm2M2MyERHVKwxA9YRWK5CeWwQACPC0wkHPOr99AJQWAMFdgIhBcldDRER2igGonrhdUIJSjbSqiZ+HlY6puX0ZOLRc+rnfXOtZIZ2IiOwOA1A9kXan+8vX3cn6JjzU2T0f0JYCTfsATR+UuxoiIrJjVvpNScZKu9P9ZZVz/gBA2mng+Frp535z5a2FiIjsHgNQPZGWrRv/Y6XdX7v+DUAA9w0BgjvJXQ0REdk5BqB6QtcFZpUDoK8eBM5tBRRKoO9suashIiJiAKov9F1g1haAhADi35R+7vA44NdK3nqIiIjAAGRZQpjt0Ok5VtoFdnEXcPk3QOUEPPia3NUQEREBYACyrHPbgE+7Alv/CZz+ESi4ZbJD67rAAq2pBUgIIP4t6eeuTwPeIfLWQ0REdIeD3AXYlaS9QOZf0uPgVwAUQGA7IPwBIPxBILQHoPao1aHTcqxwEsTTPwIpRwEnd6D3P+WuhoiISI8ByJL+8RoQ1lsKQkl7gYwzQOpx6bHvU0ChAoI73wlEDwAh3QBHl3setkyjRWae1ALkby1dYJqyO3d+AegxA3DzlbceIiKiuzAAWZKLD3DfI9IDkNbFuvxbeSC6nQRcS5Aev30AqNRSCAp/UApEwZ0AlWOFw97ML4FWACqlAg3drCQAHVsF3DwPuDQAekyXuxoiIiIDDEBy8ggA2o2UHgCQlQwk6QLRr0BuihSQLv8G7Abg6AaE9ixvIQpsByhV+u4vP3c1VEorWF6itAjY8x/p597/BJw95a2HiIjobxiArIl3E6DjOOkhBHDzghSEkvZKwajwFnBhh/QAAGdvIKwXnFw6ornCA24erWUtX+/Q10DOdcAzWBr8TEREZGUUQpjx3mwblZOTAy8vL2RnZ8PT00paL7RaIP1UeXfZ5T+AklyDXbJVPvBqO0BaasKzkTx1FuUAH0dKYW3IIqDTeHnqICIiu2PM9zdbgGyFUil1eQW2k8bUaMqkO6ySfsWVQ9sRkHUEXprb0tibCzuAkcuB8N6Wr3PfYin8NGwBRD5u+c8nIiKqAc4DZKtUDkDjLkDvf2JxyAeILP4Sm9otAQLaAvkZwLdDgN8XmnXyxQryM6W72QCg7xtSjURERFaIAageSMspRjGcUNqkN/DUDiByLCC0wM44YO0TQFG2ZQr5bQFQkgc06gDcN9Qyn0lERFQLDED1gH4SRC9nwMkVGLYEeGShtPzE2Z+AL/4BpJ40bxFZV4GDX0o/95srddkRERFZKX5L1QPpubqV4O/MAaRQAF1igUm/AF5NgFuXgK+igWNrzFfEr/8BNCXSRI/N+prvc4iIiEyAAcjGFZdpcCu/BAAQ4PG3ZTCCOwHP/Ao0jwbKCoFNzwA/vQSUFZu2iIy/gKOrpJ/7xUkBjIiIyIoxANm4jDutP04qJbxdK84SDdcGwOPrgH/MAqAADi0DlsVIky6ayu5/S2OOWg0CQrqa7rhERERmwgBk43SrwPt7qqGoquVFqZTWIRu3XlqO48YR4PMHgAs7617A9URp0VMogL6z6348IiIiC2AAsnFGrQLfIhp4Zi8Q1BEovA18P1JaskKrrX0B8W9J/9t+NBBgJTNRExER3QMDkI0rD0A1XATVu4k0OLpzLAAB7JkPrHoMKLhl/Icn7QUu7QaUjkCfWca/n4iISCYMQDZO3wX29wHQ1XFQA4MXSrfLOzhLXWGfPyh1Z9WUEMDON6Wfu8QCPmE1fy8REZHMGIBsXLoxXWB/1+Fx4OmdgE84kJ0sDY4+tLxms0ef3QpcPwQ4ugIP/Mv4zyYiIpIRA5CNS8uVAlCgVw27wP4usB0wZY90B5emBPjpRWDzs0BJQdXv0WqAXW9LP3efBrj71+6ziYiIZMIAZON0XWAV5gAyhos3MPp7IHoeoFBKC6p+/RBw82Ll+x//Acg4Czh7Az2fr/3nEhERyYQByMbpBkH716YL7G5KJdDrJWD8j4CbH5B2UlpC4+xWw/3KioE970o/93pJCk9EREQ2hgHIhhWUlCG3qAyAEXeB3Uv4A9Kt8iFRQHEOsOZxYOc8QCN9Dg6vkCZRdA8Euk0xzWcSERFZGAOQDUu/0/3l6qSCu9rBdAf2DAImbgW6Pys9//0j4LthwK0kYO9/pW0PviItvEpERGSDGIBs2N2TIFY5C3RtqRyB/vOBkcsBRzfg8m/Ap12B/AzprrFO4037eURERBbEAGTDUnXjfzxM1P1VmbaPAlN2A74tAW2ptK3vbCkgERER2SijA1BYWBjeeustJCebcDFNqhVdF1it5gAyhl8rYPIuqUus+7NAm0fN+3lERERmZnQAevHFF7Fx40Y0bdoUDz30ENasWYPi4mJz1Eb3YPQyGHWh9pC6xPrPl+4YIyIismG1CkBHjx5FQkIC7rvvPjz33HNo1KgRZsyYgcREI5ZSoDpLy7VQCxAREVE9U+t/ynfq1AmffPIJbty4gbi4OHz11Vfo2rUrOnTogGXLlkHUZDkFqhOjVoInIiIivVrfO11aWopNmzZh+fLl2LFjB7p3746nnnoK165dw+uvv46dO3di1apVpqyV/qZO64ARERHZMaMDUGJiIpYvX47Vq1dDqVRi/Pjx+OijjxAREaHfZ/jw4ejatatJCyVDQojyZTAsMQaIiIioHjE6AHXt2hUPPfQQlixZgmHDhsHRseLt0OHh4RgzZoxJCqTK5RaXobBUAwDwr8s6YERERHbI6AB06dIlhIaGVruPm5sbli9fXuui6N503V+ezg5wcVLJXA0REZFtMXoQdHp6Og4cOFBh+4EDB3Do0CGTFEX3lmapOYCIiIjqIaMD0PTp03H16tUK269fv47p06ebpCi6t9RsDoAmIiKqLaMD0OnTp9GpU6cK2zt27IjTp08bXcDixYsRFhYGZ2dnREVFISEhocp9S0tL8dZbb6FZs2ZwdnZGZGQktm/fXqdj2qq03DvLYHAANBERkdGMDkBqtRppaWkVtqekpMDBwbghRWvXrsXMmTMRFxeHxMREREZGIiYmBunp6ZXuP3v2bHz++edYtGgRTp8+jalTp2L48OE4cuRIrY9pqyy2DAYREVE9ZHQAevjhhzFr1ixkZ2frt2VlZeH111/HQw89ZNSxFixYgMmTJyM2NhatW7fG0qVL4erqimXLllW6/3fffYfXX38dAwcORNOmTTFt2jQMHDgQH374Ya2Paav0kyCacyFUIiKiesroAPTBBx/g6tWrCA0NRZ8+fdCnTx+Eh4cjNTXVIIjcS0lJCQ4fPozo6OjyYpRKREdHY9++fZW+p7i4GM7Ohi0eLi4u+P3332t9TN1xc3JyDB7WTheAAr3YAkRERGQsowNQcHAwjh8/jvfffx+tW7dG586d8fHHH+PEiRMICQmp8XEyMzOh0WgQEBBgsD0gIACpqamVvicmJgYLFizA+fPnodVqsWPHDmzcuBEpKSm1PiYAzJ8/H15eXvqHMechF91dYP7sAiMiIjJarZbCcHNzw5QpU0xdyz19/PHHmDx5MiIiIqBQKNCsWTPExsbWuXtr1qxZmDlzpv55Tk6OVYcgIQTSc3kXGBERUW3Vei2w06dPIzk5GSUlJQbbhwwZUqP3+/r6QqVSVRhQnZaWhsDAwErf4+fnh82bN6OoqAg3b95EUFAQXnvtNTRt2rTWxwSkgd1qte2MpbldUIpSjbTYrJ+77dRNRERkLWo1E/Tw4cNx4sQJKBQK/arvCoUCAKDRaGp0HCcnJ3Tu3Bnx8fEYNmwYAECr1SI+Ph4zZsyo9r3Ozs4IDg5GaWkpNmzYgFGjRtX5mLZEN/6noZsTnByM7sUkIiKye0Z/e77wwgsIDw9Heno6XF1dcerUKezduxddunTBnj17jDrWzJkz8eWXX+Kbb77BmTNnMG3aNOTn5yM2NhYAMH78eMyaNUu//4EDB7Bx40ZcunQJv/32G/r37w+tVotXXnmlxsesD1JzdHMAsfuLiIioNoxuAdq3bx927doFX19fKJVKKJVK9OrVC/Pnz8fzzz9vMCfPvYwePRoZGRmYO3cuUlNT0aFDB2zfvl0/iDk5ORlKZXlGKyoqwuzZs3Hp0iW4u7tj4MCB+O677+Dt7V3jY9YHunXAuAo8ERFR7SiErg+rhnx8fJCYmIjw8HA0a9YMX331Ffr06YOLFy+iXbt2KCgoMFetFpOTkwMvLy9kZ2fD09NT7nIq+CT+PBbs+Auju4TgvZHt5S6HiIjIKhjz/W10C1Dbtm1x7NgxhIeHIyoqCu+//z6cnJzwxRdf6Acjk3mlsQWIiIioTowOQLNnz0Z+fj4A4K233sIjjzyC3r17o2HDhli7dq3JC6SK9CvBcxJEIiKiWjE6AMXExOh/bt68Oc6ePYtbt27Bx8dHfycYmZd+DiAPBiAiIqLaMOousNLSUjg4OODkyZMG2xs0aMDwY0HlXWAMQERERLVhVABydHREkyZNajzXD5meRiuQkatbCZ5jgIiIiGrD6HmA3njjDbz++uu4deuWOeqhe7iZVwytAJQKoCFngSYiIqoVo8cAffrpp7hw4QKCgoIQGhoKNzc3g9cTExNNVhxVpBsA7eehhkrJbkciIqLaMDoA6ZaYIHmkcvwPERFRnRkdgOLi4sxRB9WQbgC0P+8AIyIiqjWupGljuAwGERFR3RndAqRUKqu95Z13iJmXfhJEdoERERHVmtEBaNOmTQbPS0tLceTIEXzzzTd48803TVYYVS7tziSIgQxAREREtWZ0ABo6dGiFbSNHjkSbNm2wdu1aPPXUUyYpjCqnawHyZxcYERFRrZlsDFD37t0RHx9vqsNRFdJ5FxgREVGdmSQAFRYW4pNPPkFwcLApDkdVKCnT4mZ+CQAGICIiorowugvs74ueCiGQm5sLV1dXfP/99yYtjgxl5EndX44qBXxcHWWuhoiIyHYZHYA++ugjgwCkVCrh5+eHqKgo+Pj4mLQ4MpSaXT4HEBefJSIiqj2jA9DEiRPNUAbVBOcAIiIiMg2jxwAtX74c69atq7B93bp1+Oabb0xSFFUujQOgiYiITMLoADR//nz4+vpW2O7v7493333XJEVR5dJyOQkiERGRKRgdgJKTkxEeHl5he2hoKJKTk01SFFWOLUBERESmYXQA8vf3x/HjxytsP3bsGBo2bGiSoqhy6fplMDgGiIiIqC6MDkBjx47F888/j927d0Oj0UCj0WDXrl144YUXMGbMGHPUSHewBYiIiMg0jL4L7O2338bly5fRr18/ODhIb9dqtRg/fjzHAJlZGu8CIyIiMgmjA5CTkxPWrl2Lf//73zh69ChcXFzQrl07hIaGmqM+uqOwRIOcojIAgD9bgIiIiOrE6ACk06JFC7Ro0cKUtVA10u+sAu/iqIKHutaXjYiIiFCLMUAjRozAe++9V2H7+++/j8cee8wkRVFFulmgAzzVnAWaiIiojowOQHv37sXAgQMrbB8wYAD27t1rkqKoIt0cQOz+IiIiqjujA1BeXh6cnJwqbHd0dEROTo5JiqKK0nkHGBERkckYHYDatWuHtWvXVti+Zs0atG7d2iRFUUX6O8A8eAcYERFRXRk9mnbOnDl49NFHcfHiRfTt2xcAEB8fj1WrVmH9+vUmL5AkaXcmQQz0YgsQERFRXRkdgAYPHozNmzfj3Xffxfr16+Hi4oLIyEjs2rULDRo0MEeNhPIWII4BIiIiqrta3U89aNAgDBo0CACQk5OD1atX4+WXX8bhw4eh0WhMWiBJ0nULobILjIiIqM6MHgOks3fvXkyYMAFBQUH48MMP0bdvX+zfv9+UtdEdQggug0FERGRCRrUApaamYsWKFfj666+Rk5ODUaNGobi4GJs3b+YAaDPKKy5DQYnUsubPZTCIiIjqrMYtQIMHD0arVq1w/PhxLFy4EDdu3MCiRYvMWRvdoWv98XB2gKsTZ4EmIiKqqxp/m/788894/vnnMW3aNC6BYWG6O8DY/UVERGQaNW4B+v3335Gbm4vOnTsjKioKn376KTIzM81ZG93BVeCJiIhMq8YBqHv37vjyyy+RkpKCZ555BmvWrEFQUBC0Wi127NiB3Nxcc9Zp1/QtQB5sASIiIjIFo+8Cc3Nzw6RJk/D777/jxIkT+Oc//4n//Oc/8Pf3x5AhQ8xRo93jHEBERESmVevb4AGgVatWeP/993Ht2jWsXr3aVDXR36TnSgEokF1gREREJlGnAKSjUqkwbNgwbNmyxRSHo7/hIGgiIiLTMkkAIvNiFxgREZFpMQBZOSEE0vUtQOwCIyIiMgUGICuXVVCKEo0WAODHdcCIiIhMggHIyqXe6f5q4OYEtYNK5mqIiIjqBwYgK6cf/8PWHyIiIpNhALJy6bwDjIiIyOQYgKwcl8EgIiIyPQYgK5emnwSRLUBERESmwgBk5XSTIHIOICIiItNhALJy6fouMAYgIiIiU2EAsnJpnASRiIjI5BiArJhGK5CRx7vAiIiITI0ByIrdzCuGRiugVAAN3ZzkLoeIiKjeYACyYrruL193NRxUvFRERESmwm9VK5bGAdBERERmwQBkxXRzAHEANBERkWkxAFkxzgFERERkHgxAVkw3BxBngSYiIjItBiArxnXAiIiIzIMByIqxC4yIiMg8GICsWLpuELQHAxAREZEpMQBZqVKNFpl5JQDYBUZERGRqDEBWKj1X6v5yVCng48pZoImIiExJ9gC0ePFihIWFwdnZGVFRUUhISKh2/4ULF6JVq1ZwcXFBSEgIXnrpJRQVFelfnzdvHhQKhcEjIiLC3KdhcroB0P4ezlAqFTJXQ0REVL84yPnha9euxcyZM7F06VJERUVh4cKFiImJwblz5+Dv719h/1WrVuG1117DsmXL0LNnT/z111+YOHEiFAoFFixYoN+vTZs22Llzp/65g4Osp1krulvg/dn9RUREZHKytgAtWLAAkydPRmxsLFq3bo2lS5fC1dUVy5Ytq3T/P//8E/fffz8ef/xxhIWF4eGHH8bYsWMrtBo5ODggMDBQ//D19bXE6ZiU7g4wDoAmIiIyPdkCUElJCQ4fPozo6OjyYpRKREdHY9++fZW+p2fPnjh8+LA+8Fy6dAnbtm3DwIEDDfY7f/48goKC0LRpU4wbNw7JycnmOxEz0XWBBXoxABEREZmabH1DmZmZ0Gg0CAgIMNgeEBCAs2fPVvqexx9/HJmZmejVqxeEECgrK8PUqVPx+uuv6/eJiorCihUr0KpVK6SkpODNN99E7969cfLkSXh4eFR63OLiYhQXF+uf5+TkmOAM66Z8DiB2gREREZma7IOgjbFnzx68++67+Oyzz5CYmIiNGzdi69atePvtt/X7DBgwAI899hjat2+PmJgYbNu2DVlZWfjhhx+qPO78+fPh5eWlf4SEhFjidKrFOYCIiIjMR7YWIF9fX6hUKqSlpRlsT0tLQ2BgYKXvmTNnDp588kk8/fTTAIB27dohPz8fU6ZMwRtvvAGlsmKe8/b2RsuWLXHhwoUqa5k1axZmzpypf56TkyN7CCpfBoMBiIiIyNRkawFycnJC586dER8fr9+m1WoRHx+PHj16VPqegoKCCiFHpVIBAIQQlb4nLy8PFy9eRKNGjaqsRa1Ww9PT0+AhN/0gaHaBERERmZys94fPnDkTEyZMQJcuXdCtWzcsXLgQ+fn5iI2NBQCMHz8ewcHBmD9/PgBg8ODBWLBgATp27IioqChcuHABc+bMweDBg/VB6OWXX8bgwYMRGhqKGzduIC4uDiqVCmPHjpXtPI1VVKpBdmEpAK4DRkREZA6yBqDRo0cjIyMDc+fORWpqKjp06IDt27frB0YnJycbtPjMnj0bCoUCs2fPxvXr1+Hn54fBgwfjnXfe0e9z7do1jB07Fjdv3oSfnx969eqF/fv3w8/Pz+LnV1u67i9nRyU8nW1vDiMiIiJrpxBV9R3ZsZycHHh5eSE7O1uW7rCEpFsY9fk+hDZ0xa//6mPxzyciIrJFxnx/29RdYPZCPwCad4ARERGZBQOQFUrjMhhERERmxQBkhXQrwQdyADQREZFZMABZIc4BREREZF4MQFaIXWBERETmxQBkhdL1kyCyBYiIiMgcGICsELvAiIiIzIsByMrkFpUiv0QDAPD3YBcYERGROTAAWRndGmAeage4qTkLNBERkTkwAFmZdA6AJiIiMjsGICuTlsvxP0RERObGAGRl0ngHGBERkdkxAFkZ3gFGRERkfgxAVqZ8DiCOASIiIjIXBiArwxYgIiIi82MAsjLlg6DZAkRERGQuDEBWRAihHwTt78EWICIiInNhALIiWQWlKCnTAuA8QERERObEAGRFdN1fPq6OUDuoZK6GiIio/mIAsiKcA4iIiMgyGICsSJp+GQwGICIiInNiALIiunXAAjn+h4iIyKwYgKwIu8CIiIgsgwHIirALjIiIyDIYgKxIWu6dFiAPdoERERGZEwOQFUnnMhhEREQWwQBkJTRagfRcjgEiIiKyBAYgK3EzvxgarYBCAfi6O8ldDhERUb3GAGQl0u/cAebrroaDipeFiIjInPhNayXScrgKPBERkaUwAFkJ/RxAXAWeiIjI7BiArIS+BciLAYiIiMjcGICsRPqdleDZAkRERGR+DEBWonwZDI4BIiIiMjcGICuRxkkQiYiILIYByEqUrwPGFiAiIiJzYwCyAqUaLTLzSgCwBYiIiMgSGICsQMadJTAclAo0cOUs0ERERObGAGQF9N1fHmoolQqZqyEiIqr/GICsgO4OMH92fxEREVkEA5AV0M0BFMgAREREZBEMQFaA64ARERFZFgOQFWAXGBERkWUxAFkBToJIRERkWQxAViCdy2AQERFZFAOQFUhlCxAREZFFMQDJrKhUg+zCUgBcCZ6IiMhSGIBkpuv+Ujso4eniIHM1RERE9oEBSGZpueXdXwoFZ4EmIiKyBAYgmXEOICIiIstjAJJZmv4OMI7/ISIishQGIJml8w4wIiIii2MAkhm7wIiIiCyPAUhm7AIjIiKyPAYgmelagPw5BxAREZHFMADJjF1gRERElscAJKO84jLkl2gAcCV4IiIiS2IAkpGu9cdd7QB3NWeBJiIishQGIBnpx/+w+4uIiMiiGIBkpFsHjIugEhERWRYDkIx0LUCBXgxARERElsQAJCPdHEDsAiMiIrIsBiAZ6VeCZxcYERGRRTEAyYjrgBEREcmDAUhGqZwEkYiISBYMQDIRQnAdMCIiIpnIHoAWL16MsLAwODs7IyoqCgkJCdXuv3DhQrRq1QouLi4ICQnBSy+9hKKiojodUw7ZhaUoKdMCAPw82AJERERkSbIGoLVr12LmzJmIi4tDYmIiIiMjERMTg/T09Er3X7VqFV577TXExcXhzJkz+Prrr7F27Vq8/vrrtT6mXHStP96ujnB2VMlcDRERkX2RNQAtWLAAkydPRmxsLFq3bo2lS5fC1dUVy5Ytq3T/P//8E/fffz8ef/xxhIWF4eGHH8bYsWMNWniMPaZc9Iug8g4wIiIii5MtAJWUlODw4cOIjo4uL0apRHR0NPbt21fpe3r27InDhw/rA8+lS5ewbds2DBw4sNbHBIDi4mLk5OQYPMxNH4A4CSIREZHFybYCZ2ZmJjQaDQICAgy2BwQE4OzZs5W+5/HHH0dmZiZ69eoFIQTKysowdepUfRdYbY4JAPPnz8ebb75ZxzMyTnqubhkMjv8hIiKyNNkHQRtjz549ePfdd/HZZ58hMTERGzduxNatW/H222/X6bizZs1Cdna2/nH16lUTVVy1NM4BREREJBvZWoB8fX2hUqmQlpZmsD0tLQ2BgYGVvmfOnDl48skn8fTTTwMA2rVrh/z8fEyZMgVvvPFGrY4JAGq1Gmq1ZVti0jgHEBERkWxkawFycnJC586dER8fr9+m1WoRHx+PHj16VPqegoICKJWGJatU0h1UQohaHVMuqfp1wNgCREREZGmytQABwMyZMzFhwgR06dIF3bp1w8KFC5Gfn4/Y2FgAwPjx4xEcHIz58+cDAAYPHowFCxagY8eOiIqKwoULFzBnzhwMHjxYH4TudUxrwWUwiIiI5CNrABo9ejQyMjIwd+5cpKamokOHDti+fbt+EHNycrJBi8/s2bOhUCgwe/ZsXL9+HX5+fhg8eDDeeeedGh/TGmi1onwQNLvAiIiILE4hhBByF2FtcnJy4OXlhezsbHh6epr8+Bm5xej6zk4oFMBf/x4AR5VNjUUnIiKySsZ8f/ObVwa6AdAN3dQMP0RERDLgt68M0nN5BxgREZGcGIBkoFsHLJADoImIiGTBACQDXRcYb4EnIiKSBwOQDHQtQOwCIyIikgcDkAw4BxAREZG8GIBkkMplMIiIiGTFACQDXReYvwdbgIiIiOTAAGRhpRotbubrxgAxABEREcmBAcjCMvOKIQSgUirQ0M1J7nKIiIjsEgOQhZV3f6mhVCpkroaIiMg+MQBZWBrvACMiIpIdA5CFpfMOMCIiItkxAFlY+SSIbAEiIiKSCwOQhbELjIiISH4MQBammwTR34NdYERERHJhALKwdHaBERERyY4ByMLSctkFRkREJDcGIAsqKtUgq6AUAO8CIyIikhMDkAVl5ErdX04OSni5OMpcDRERkf1iALKgtLvmAFIoOAs0ERGRXBiALEg3B1Agx/8QERHJigHIgnQtQP4MQERERLJiALKg4jItnB2VCPBgACIiIpKTQggh5C7C2uTk5MDLywvZ2dnw9PQ06bGFECjTCjiqmD2JiIhMyZjvbwcL1UR3KBQKOKo4AJqIiEhObIYgIiIiu8MARERERHaHAYiIiIjsDgMQERER2R0GICIiIrI7DEBERERkdxiAiIiIyO4wABEREZHdYQAiIiIiu8MARERERHaHAYiIiIjsDgMQERER2R0GICIiIrI7XA2+EkIIAEBOTo7MlRAREVFN6b63dd/j1WEAqkRubi4AICQkROZKiIiIyFi5ubnw8vKqdh+FqElMsjNarRY3btyAh4cHFAqFSY+dk5ODkJAQXL16FZ6eniY9trXhudZf9nS+PNf6y57O117OVQiB3NxcBAUFQamsfpQPW4AqoVQq0bhxY7N+hqenZ73+j/BuPNf6y57Ol+daf9nT+drDud6r5UeHg6CJiIjI7jAAERERkd1hALIwtVqNuLg4qNVquUsxO55r/WVP58tzrb/s6Xzt6VxrioOgiYiIyO6wBYiIiIjsDgMQERER2R0GICIiIrI7DEBERERkdxiAzGDx4sUICwuDs7MzoqKikJCQUO3+69atQ0REBJydndGuXTts27bNQpXW3vz589G1a1d4eHjA398fw4YNw7lz56p9z4oVK6BQKAwezs7OFqq49ubNm1eh7oiIiGrfY4vXVCcsLKzC+SoUCkyfPr3S/W3puu7duxeDBw9GUFAQFAoFNm/ebPC6EAJz585Fo0aN4OLigujoaJw/f/6exzX2b94SqjvX0tJSvPrqq2jXrh3c3NwQFBSE8ePH48aNG9UeszZ/C5Zyr2s7ceLECrX379//nse1tWsLoNK/X4VCgf/+979VHtOar625MACZ2Nq1azFz5kzExcUhMTERkZGRiImJQXp6eqX7//nnnxg7diyeeuopHDlyBMOGDcOwYcNw8uRJC1dunF9//RXTp0/H/v37sWPHDpSWluLhhx9Gfn5+te/z9PRESkqK/nHlyhULVVw3bdq0Maj7999/r3JfW72mOgcPHjQ41x07dgAAHnvssSrfYyvXNT8/H5GRkVi8eHGlr7///vv45JNPsHTpUhw4cABubm6IiYlBUVFRlcc09m/eUqo714KCAiQmJmLOnDlITEzExo0bce7cOQwZMuSexzXmb8GS7nVtAaB///4Gta9evbraY9ritQVgcI4pKSlYtmwZFAoFRowYUe1xrfXamo0gk+rWrZuYPn26/rlGoxFBQUFi/vz5le4/atQoMWjQIINtUVFR4plnnjFrnaaWnp4uAIhff/21yn2WL18uvLy8LFeUicTFxYnIyMga719frqnOCy+8IJo1aya0Wm2lr9vqdQUgNm3apH+u1WpFYGCg+O9//6vflpWVJdRqtVi9enWVxzH2b14Ofz/XyiQkJAgA4sqVK1XuY+zfglwqO98JEyaIoUOHGnWc+nJthw4dKvr27VvtPrZybU2JLUAmVFJSgsOHDyM6Olq/TalUIjo6Gvv27av0Pfv27TPYHwBiYmKq3N9aZWdnAwAaNGhQ7X55eXkIDQ1FSEgIhg4dilOnTlmivDo7f/48goKC0LRpU4wbNw7JyclV7ltfrikg/Tf9/fffY9KkSdUuDGyr1/VuSUlJSE1NNbh2Xl5eiIqKqvLa1eZv3lplZ2dDoVDA29u72v2M+VuwNnv27IG/vz9atWqFadOm4ebNm1XuW1+ubVpaGrZu3Yqnnnrqnvva8rWtDQYgE8rMzIRGo0FAQIDB9oCAAKSmplb6ntTUVKP2t0ZarRYvvvgi7r//frRt27bK/Vq1aoVly5bhxx9/xPfffw+tVouePXvi2rVrFqzWeFFRUVixYgW2b9+OJUuWICkpCb1790Zubm6l+9eHa6qzefNmZGVlYeLEiVXuY6vX9e9018eYa1ebv3lrVFRUhFdffRVjx46tdqFMY/8WrEn//v3x7bffIj4+Hu+99x5+/fVXDBgwABqNptL968u1/eabb+Dh4YFHH3202v1s+drWFleDpzqbPn06Tp48ec/+4h49eqBHjx765z179sR9992Hzz//HG+//ba5y6y1AQMG6H9u3749oqKiEBoaih9++KFG/6qyZV9//TUGDBiAoKCgKvex1etKktLSUowaNQpCCCxZsqTafW35b2HMmDH6n9u1a4f27dujWbNm2LNnD/r16ydjZea1bNkyjBs37p43Jtjyta0ttgCZkK+vL1QqFdLS0gy2p6WlITAwsNL3BAYGGrW/tZkxYwZ++ukn7N69G40bNzbqvY6OjujYsSMuXLhgpurMw9vbGy1btqyyblu/pjpXrlzBzp078fTTTxv1Plu9rrrrY8y1q83fvDXRhZ8rV65gx44d1bb+VOZefwvWrGnTpvD19a2ydlu/tgDw22+/4dy5c0b/DQO2fW1rigHIhJycnNC5c2fEx8frt2m1WsTHxxv8C/luPXr0MNgfAHbs2FHl/tZCCIEZM2Zg06ZN2LVrF8LDw40+hkajwYkTJ9CoUSMzVGg+eXl5uHjxYpV12+o1/bvly5fD398fgwYNMup9tnpdw8PDERgYaHDtcnJycODAgSqvXW3+5q2FLvycP38eO3fuRMOGDY0+xr3+FqzZtWvXcPPmzSprt+Vrq/P111+jc+fOiIyMNPq9tnxta0zuUdj1zZo1a4RarRYrVqwQp0+fFlOmTBHe3t4iNTVVCCHEk08+KV577TX9/n/88YdwcHAQH3zwgThz5oyIi4sTjo6O4sSJE3KdQo1MmzZNeHl5iT179oiUlBT9o6CgQL/P38/1zTffFL/88ou4ePGiOHz4sBgzZoxwdnYWp06dkuMUauyf//yn2LNnj0hKShJ//PGHiI6OFr6+viI9PV0IUX+u6d00Go1o0qSJePXVVyu8ZsvXNTc3Vxw5ckQcOXJEABALFiwQR44c0d/59J///Ed4e3uLH3/8URw/flwMHTpUhIeHi8LCQv0x+vbtKxYtWqR/fq+/eblUd64lJSViyJAhonHjxuLo0aMGf8PFxcX6Y/z9XO/1tyCn6s43NzdXvPzyy2Lfvn0iKSlJ7Ny5U3Tq1Em0aNFCFBUV6Y9RH66tTnZ2tnB1dRVLliyp9Bi2dG3NhQHIDBYtWiSaNGkinJycRLdu3cT+/fv1rz344INiwoQJBvv/8MMPomXLlsLJyUm0adNGbN261cIVGw9ApY/ly5fr9/n7ub744ov630tAQIAYOHCgSExMtHzxRho9erRo1KiRcHJyEsHBwWL06NHiwoUL+tfryzW92y+//CIAiHPnzlV4zZav6+7duyv971Z3PlqtVsyZM0cEBAQItVot+vXrV+F3EBoaKuLi4gy2Vfc3L5fqzjUpKanKv+Hdu3frj/H3c73X34KcqjvfgoIC8fDDDws/Pz/h6OgoQkNDxeTJkysEmfpwbXU+//xz4eLiIrKysio9hi1dW3NRCCGEWZuYiIiIiKwMxwARERGR3WEAIiIiIrvDAERERER2hwGIiIiI7A4DEBEREdkdBiAiIiKyOwxAREREZHcYgIiIakChUGDz5s1yl0FEJsIARERWb+LEiVAoFBUe/fv3l7s0IrJRDnIXQERUE/3798fy5csNtqnVapmqISJbxxYgIrIJarUagYGBBg8fHx8AUvfUkiVLMGDAALi4uKBp06ZYv369wftPnDiBvn37wsXFBQ0bNsSUKVOQl5dnsM+yZcvQpk0bqNVqNGrUCDNmzDB4PTMzE8OHD4erqytatGiBLVu2mPekichsGICIqF6YM2cORowYgWPHjmHcuHEYM2YMzpw5AwDIz89HTEwMfHx8cPDgQaxbtw47d+40CDhLlizB9OnTMWXKFJw4cQJbtmxB8+bNDT7jzTffxKhRo3D8+HEMHDgQ48aNw61btyx6nkRkInKvxkpEdC8TJkwQKpVKuLm5GTzeeecdIYQQAMTUqVMN3hMVFSWmTZsmhBDiiy++ED4+PiIvL0//+tatW4VSqdSvCB4UFCTeeOONKmsAIGbPnq1/npeXJwCIn3/+2WTnSUSWwzFARGQT+vTpgyVLlhhsa9Cggf7nHj16GLzWo0cPHD16FABw5swZREZGws3NTf/6/fffD61Wi3PnzkGhUODGjRvo169ftTW0b99e/7Obmxs8PT2Rnp5e21MiIhkxABGRTXBzc6vQJWUqLi4uNdrP0dHR4LlCoYBWqzVHSURkZhwDRET1wv79+ys8v++++wAA9913H44dO4b8/Hz963/88QeUSiVatWoFDw8PhIWFIT4+3qI1E5F82AJERDahuLgYqampBtscHBzg6+sLAFi3bh26dOmCXr16YeXKlUhISMDXX38NABg3bhzi4uIwYcIEzJs3DxkZGXjuuefw5JNPIiAgAAAwb948TJ06Ff7+/hgwYAByc3Pxxx9/4LnnnrPsiRKRRTAAEZFN2L59Oxo1amSwrVWrVjh79iwA6Q6tNWvW4Nlnn0WjRo2wevVqtG7dGgDg6uqKX375BS+88AK6du0KV1dXjBgxAgsWLNAfa8KECSgqKsJHH32El19+Gb6+vhg5cqTlTpCILEohhBByF0FEVBcKhQKbNm3CsGHD5C6FiGwExwARERGR3WEAIiIiIrvDMUBEZPPYk09ExmILEBEREdkdBiAiIiKyOwxAREREZHcYgIiIiMjuMAARERGR3WEAIiIiIrvDAERERER2hwGIiIiI7A4DEBEREdmd/wetM35lr8ih7QAAAABJRU5ErkJggg=="},"metadata":{}}]},{"cell_type":"markdown","source":"### DenseNet121","metadata":{}},{"cell_type":"code","source":"from keras.applications import DenseNet121\nfrom keras.layers import Dense, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint\n\n# Loading model\ndensenet121_model = DenseNet121(weights='imagenet', include_top=False, input_shape=(192, 192, 3))\nfeature_extractor = Model(inputs=densenet121_model.input, outputs=densenet121_model.get_layer('conv5_block6_concat').output)\n\n# Freezing convolutional layers\nfor layer in feature_extractor.layers:\n layer.trainable = False\n \n# Adding dense layers on top\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\n\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\n# binding model\nmodel = Model(inputs=feature_extractor.input, outputs=output)\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-7, verbose=1)\n\nmodel.summary() # model summary","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:00:50.778719Z","iopub.execute_input":"2024-06-09T09:00:50.779025Z","iopub.status.idle":"2024-06-09T09:00:54.128701Z","shell.execute_reply.started":"2024-06-09T09:00:50.778993Z","shell.execute_reply":"2024-06-09T09:00:54.127828Z"},"trusted":true},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_3\"\u001b[0m\n","text/html":"
Model: \"functional_3\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\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;34m198\u001b[0m, \u001b[38;5;34m198\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\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;34m96\u001b[0m, \u001b[38;5;34m96\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;34m96\u001b[0m, \u001b[38;5;34m96\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;34m96\u001b[0m, \u001b[38;5;34m96\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;34m98\u001b[0m, \u001b[38;5;34m98\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m48\u001b[0m, \u001b[38;5;34m48\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m704\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_con… │\n│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m721,920\u001b[0m │ global_average_p… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer         │ (None, 192, 192,  │          0 │ -                 │\n│ (InputLayer)        │ 3)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d      │ (None, 198, 198,  │          0 │ input_layer[0][0] │\n│ (ZeroPadding2D)     │ 3)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv1_conv (Conv2D) │ (None, 96, 96,    │      9,408 │ zero_padding2d[0… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv1_bn            │ (None, 96, 96,    │        256 │ conv1_conv[0][0]  │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv1_relu          │ (None, 96, 96,    │          0 │ conv1_bn[0][0]    │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ zero_padding2d_1    │ (None, 98, 98,    │          0 │ conv1_relu[0][0]  │\n│ (ZeroPadding2D)     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool1               │ (None, 48, 48,    │          0 │ zero_padding2d_1… │\n│ (MaxPooling2D)      │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_0_bn   │ (None, 48, 48,    │        256 │ pool1[0][0]       │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_0_relu │ (None, 48, 48,    │          0 │ conv2_block1_0_b… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_1_conv │ (None, 48, 48,    │      8,192 │ conv2_block1_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_1_bn   │ (None, 48, 48,    │        512 │ conv2_block1_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_1_relu │ (None, 48, 48,    │          0 │ conv2_block1_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_2_conv │ (None, 48, 48,    │     36,864 │ conv2_block1_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block1_concat │ (None, 48, 48,    │          0 │ pool1[0][0],      │\n│ (Concatenate)       │ 96)               │            │ conv2_block1_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_0_bn   │ (None, 48, 48,    │        384 │ conv2_block1_con… │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_0_relu │ (None, 48, 48,    │          0 │ conv2_block2_0_b… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_1_conv │ (None, 48, 48,    │     12,288 │ conv2_block2_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_1_bn   │ (None, 48, 48,    │        512 │ conv2_block2_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_1_relu │ (None, 48, 48,    │          0 │ conv2_block2_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_2_conv │ (None, 48, 48,    │     36,864 │ conv2_block2_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block2_concat │ (None, 48, 48,    │          0 │ conv2_block1_con… │\n│ (Concatenate)       │ 128)              │            │ conv2_block2_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_0_bn   │ (None, 48, 48,    │        512 │ conv2_block2_con… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_0_relu │ (None, 48, 48,    │          0 │ conv2_block3_0_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_1_conv │ (None, 48, 48,    │     16,384 │ conv2_block3_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_1_bn   │ (None, 48, 48,    │        512 │ conv2_block3_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_1_relu │ (None, 48, 48,    │          0 │ conv2_block3_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_2_conv │ (None, 48, 48,    │     36,864 │ conv2_block3_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block3_concat │ (None, 48, 48,    │          0 │ conv2_block2_con… │\n│ (Concatenate)       │ 160)              │            │ conv2_block3_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_0_bn   │ (None, 48, 48,    │        640 │ conv2_block3_con… │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_0_relu │ (None, 48, 48,    │          0 │ conv2_block4_0_b… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_1_conv │ (None, 48, 48,    │     20,480 │ conv2_block4_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_1_bn   │ (None, 48, 48,    │        512 │ conv2_block4_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_1_relu │ (None, 48, 48,    │          0 │ conv2_block4_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_2_conv │ (None, 48, 48,    │     36,864 │ conv2_block4_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block4_concat │ (None, 48, 48,    │          0 │ conv2_block3_con… │\n│ (Concatenate)       │ 192)              │            │ conv2_block4_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_0_bn   │ (None, 48, 48,    │        768 │ conv2_block4_con… │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_0_relu │ (None, 48, 48,    │          0 │ conv2_block5_0_b… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_1_conv │ (None, 48, 48,    │     24,576 │ conv2_block5_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_1_bn   │ (None, 48, 48,    │        512 │ conv2_block5_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_1_relu │ (None, 48, 48,    │          0 │ conv2_block5_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_2_conv │ (None, 48, 48,    │     36,864 │ conv2_block5_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block5_concat │ (None, 48, 48,    │          0 │ conv2_block4_con… │\n│ (Concatenate)       │ 224)              │            │ conv2_block5_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_0_bn   │ (None, 48, 48,    │        896 │ conv2_block5_con… │\n│ (BatchNormalizatio… │ 224)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_0_relu │ (None, 48, 48,    │          0 │ conv2_block6_0_b… │\n│ (Activation)        │ 224)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_1_conv │ (None, 48, 48,    │     28,672 │ conv2_block6_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_1_bn   │ (None, 48, 48,    │        512 │ conv2_block6_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_1_relu │ (None, 48, 48,    │          0 │ conv2_block6_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_2_conv │ (None, 48, 48,    │     36,864 │ conv2_block6_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2_block6_concat │ (None, 48, 48,    │          0 │ conv2_block5_con… │\n│ (Concatenate)       │ 256)              │            │ conv2_block6_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool2_bn            │ (None, 48, 48,    │      1,024 │ conv2_block6_con… │\n│ (BatchNormalizatio… │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool2_relu          │ (None, 48, 48,    │          0 │ pool2_bn[0][0]    │\n│ (Activation)        │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool2_conv (Conv2D) │ (None, 48, 48,    │     32,768 │ pool2_relu[0][0]  │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool2_pool          │ (None, 24, 24,    │          0 │ pool2_conv[0][0]  │\n│ (AveragePooling2D)  │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_0_bn   │ (None, 24, 24,    │        512 │ pool2_pool[0][0]  │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_0_relu │ (None, 24, 24,    │          0 │ conv3_block1_0_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_1_conv │ (None, 24, 24,    │     16,384 │ conv3_block1_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_1_bn   │ (None, 24, 24,    │        512 │ conv3_block1_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_1_relu │ (None, 24, 24,    │          0 │ conv3_block1_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block1_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block1_concat │ (None, 24, 24,    │          0 │ pool2_pool[0][0], │\n│ (Concatenate)       │ 160)              │            │ conv3_block1_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_0_bn   │ (None, 24, 24,    │        640 │ conv3_block1_con… │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_0_relu │ (None, 24, 24,    │          0 │ conv3_block2_0_b… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_1_conv │ (None, 24, 24,    │     20,480 │ conv3_block2_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_1_bn   │ (None, 24, 24,    │        512 │ conv3_block2_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_1_relu │ (None, 24, 24,    │          0 │ conv3_block2_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block2_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block2_concat │ (None, 24, 24,    │          0 │ conv3_block1_con… │\n│ (Concatenate)       │ 192)              │            │ conv3_block2_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_0_bn   │ (None, 24, 24,    │        768 │ conv3_block2_con… │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_0_relu │ (None, 24, 24,    │          0 │ conv3_block3_0_b… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_1_conv │ (None, 24, 24,    │     24,576 │ conv3_block3_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_1_bn   │ (None, 24, 24,    │        512 │ conv3_block3_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_1_relu │ (None, 24, 24,    │          0 │ conv3_block3_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block3_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block3_concat │ (None, 24, 24,    │          0 │ conv3_block2_con… │\n│ (Concatenate)       │ 224)              │            │ conv3_block3_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_0_bn   │ (None, 24, 24,    │        896 │ conv3_block3_con… │\n│ (BatchNormalizatio… │ 224)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_0_relu │ (None, 24, 24,    │          0 │ conv3_block4_0_b… │\n│ (Activation)        │ 224)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_1_conv │ (None, 24, 24,    │     28,672 │ conv3_block4_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_1_bn   │ (None, 24, 24,    │        512 │ conv3_block4_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_1_relu │ (None, 24, 24,    │          0 │ conv3_block4_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block4_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block4_concat │ (None, 24, 24,    │          0 │ conv3_block3_con… │\n│ (Concatenate)       │ 256)              │            │ conv3_block4_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_0_bn   │ (None, 24, 24,    │      1,024 │ conv3_block4_con… │\n│ (BatchNormalizatio… │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_0_relu │ (None, 24, 24,    │          0 │ conv3_block5_0_b… │\n│ (Activation)        │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_1_conv │ (None, 24, 24,    │     32,768 │ conv3_block5_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_1_bn   │ (None, 24, 24,    │        512 │ conv3_block5_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_1_relu │ (None, 24, 24,    │          0 │ conv3_block5_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block5_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block5_concat │ (None, 24, 24,    │          0 │ conv3_block4_con… │\n│ (Concatenate)       │ 288)              │            │ conv3_block5_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_0_bn   │ (None, 24, 24,    │      1,152 │ conv3_block5_con… │\n│ (BatchNormalizatio… │ 288)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_0_relu │ (None, 24, 24,    │          0 │ conv3_block6_0_b… │\n│ (Activation)        │ 288)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_1_conv │ (None, 24, 24,    │     36,864 │ conv3_block6_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_1_bn   │ (None, 24, 24,    │        512 │ conv3_block6_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_1_relu │ (None, 24, 24,    │          0 │ conv3_block6_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block6_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block6_concat │ (None, 24, 24,    │          0 │ conv3_block5_con… │\n│ (Concatenate)       │ 320)              │            │ conv3_block6_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_0_bn   │ (None, 24, 24,    │      1,280 │ conv3_block6_con… │\n│ (BatchNormalizatio… │ 320)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_0_relu │ (None, 24, 24,    │          0 │ conv3_block7_0_b… │\n│ (Activation)        │ 320)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_1_conv │ (None, 24, 24,    │     40,960 │ conv3_block7_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_1_bn   │ (None, 24, 24,    │        512 │ conv3_block7_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_1_relu │ (None, 24, 24,    │          0 │ conv3_block7_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block7_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block7_concat │ (None, 24, 24,    │          0 │ conv3_block6_con… │\n│ (Concatenate)       │ 352)              │            │ conv3_block7_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_0_bn   │ (None, 24, 24,    │      1,408 │ conv3_block7_con… │\n│ (BatchNormalizatio… │ 352)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_0_relu │ (None, 24, 24,    │          0 │ conv3_block8_0_b… │\n│ (Activation)        │ 352)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_1_conv │ (None, 24, 24,    │     45,056 │ conv3_block8_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_1_bn   │ (None, 24, 24,    │        512 │ conv3_block8_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_1_relu │ (None, 24, 24,    │          0 │ conv3_block8_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block8_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block8_concat │ (None, 24, 24,    │          0 │ conv3_block7_con… │\n│ (Concatenate)       │ 384)              │            │ conv3_block8_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_0_bn   │ (None, 24, 24,    │      1,536 │ conv3_block8_con… │\n│ (BatchNormalizatio… │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_0_relu │ (None, 24, 24,    │          0 │ conv3_block9_0_b… │\n│ (Activation)        │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_1_conv │ (None, 24, 24,    │     49,152 │ conv3_block9_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_1_bn   │ (None, 24, 24,    │        512 │ conv3_block9_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_1_relu │ (None, 24, 24,    │          0 │ conv3_block9_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_2_conv │ (None, 24, 24,    │     36,864 │ conv3_block9_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block9_concat │ (None, 24, 24,    │          0 │ conv3_block8_con… │\n│ (Concatenate)       │ 416)              │            │ conv3_block9_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_0_bn  │ (None, 24, 24,    │      1,664 │ conv3_block9_con… │\n│ (BatchNormalizatio… │ 416)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_0_re… │ (None, 24, 24,    │          0 │ conv3_block10_0_… │\n│ (Activation)        │ 416)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_1_co… │ (None, 24, 24,    │     53,248 │ conv3_block10_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_1_bn  │ (None, 24, 24,    │        512 │ conv3_block10_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_1_re… │ (None, 24, 24,    │          0 │ conv3_block10_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_2_co… │ (None, 24, 24,    │     36,864 │ conv3_block10_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block10_conc… │ (None, 24, 24,    │          0 │ conv3_block9_con… │\n│ (Concatenate)       │ 448)              │            │ conv3_block10_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_0_bn  │ (None, 24, 24,    │      1,792 │ conv3_block10_co… │\n│ (BatchNormalizatio… │ 448)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_0_re… │ (None, 24, 24,    │          0 │ conv3_block11_0_… │\n│ (Activation)        │ 448)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_1_co… │ (None, 24, 24,    │     57,344 │ conv3_block11_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_1_bn  │ (None, 24, 24,    │        512 │ conv3_block11_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_1_re… │ (None, 24, 24,    │          0 │ conv3_block11_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_2_co… │ (None, 24, 24,    │     36,864 │ conv3_block11_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block11_conc… │ (None, 24, 24,    │          0 │ conv3_block10_co… │\n│ (Concatenate)       │ 480)              │            │ conv3_block11_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_0_bn  │ (None, 24, 24,    │      1,920 │ conv3_block11_co… │\n│ (BatchNormalizatio… │ 480)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_0_re… │ (None, 24, 24,    │          0 │ conv3_block12_0_… │\n│ (Activation)        │ 480)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_1_co… │ (None, 24, 24,    │     61,440 │ conv3_block12_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_1_bn  │ (None, 24, 24,    │        512 │ conv3_block12_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_1_re… │ (None, 24, 24,    │          0 │ conv3_block12_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_2_co… │ (None, 24, 24,    │     36,864 │ conv3_block12_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv3_block12_conc… │ (None, 24, 24,    │          0 │ conv3_block11_co… │\n│ (Concatenate)       │ 512)              │            │ conv3_block12_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool3_bn            │ (None, 24, 24,    │      2,048 │ conv3_block12_co… │\n│ (BatchNormalizatio… │ 512)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool3_relu          │ (None, 24, 24,    │          0 │ pool3_bn[0][0]    │\n│ (Activation)        │ 512)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool3_conv (Conv2D) │ (None, 24, 24,    │    131,072 │ pool3_relu[0][0]  │\n│                     │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool3_pool          │ (None, 12, 12,    │          0 │ pool3_conv[0][0]  │\n│ (AveragePooling2D)  │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_0_bn   │ (None, 12, 12,    │      1,024 │ pool3_pool[0][0]  │\n│ (BatchNormalizatio… │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_0_relu │ (None, 12, 12,    │          0 │ conv4_block1_0_b… │\n│ (Activation)        │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_1_conv │ (None, 12, 12,    │     32,768 │ conv4_block1_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_1_bn   │ (None, 12, 12,    │        512 │ conv4_block1_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_1_relu │ (None, 12, 12,    │          0 │ conv4_block1_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block1_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block1_concat │ (None, 12, 12,    │          0 │ pool3_pool[0][0], │\n│ (Concatenate)       │ 288)              │            │ conv4_block1_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_0_bn   │ (None, 12, 12,    │      1,152 │ conv4_block1_con… │\n│ (BatchNormalizatio… │ 288)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_0_relu │ (None, 12, 12,    │          0 │ conv4_block2_0_b… │\n│ (Activation)        │ 288)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_1_conv │ (None, 12, 12,    │     36,864 │ conv4_block2_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_1_bn   │ (None, 12, 12,    │        512 │ conv4_block2_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_1_relu │ (None, 12, 12,    │          0 │ conv4_block2_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block2_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block2_concat │ (None, 12, 12,    │          0 │ conv4_block1_con… │\n│ (Concatenate)       │ 320)              │            │ conv4_block2_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_0_bn   │ (None, 12, 12,    │      1,280 │ conv4_block2_con… │\n│ (BatchNormalizatio… │ 320)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_0_relu │ (None, 12, 12,    │          0 │ conv4_block3_0_b… │\n│ (Activation)        │ 320)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_1_conv │ (None, 12, 12,    │     40,960 │ conv4_block3_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_1_bn   │ (None, 12, 12,    │        512 │ conv4_block3_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_1_relu │ (None, 12, 12,    │          0 │ conv4_block3_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block3_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block3_concat │ (None, 12, 12,    │          0 │ conv4_block2_con… │\n│ (Concatenate)       │ 352)              │            │ conv4_block3_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_0_bn   │ (None, 12, 12,    │      1,408 │ conv4_block3_con… │\n│ (BatchNormalizatio… │ 352)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_0_relu │ (None, 12, 12,    │          0 │ conv4_block4_0_b… │\n│ (Activation)        │ 352)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_1_conv │ (None, 12, 12,    │     45,056 │ conv4_block4_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_1_bn   │ (None, 12, 12,    │        512 │ conv4_block4_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_1_relu │ (None, 12, 12,    │          0 │ conv4_block4_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block4_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block4_concat │ (None, 12, 12,    │          0 │ conv4_block3_con… │\n│ (Concatenate)       │ 384)              │            │ conv4_block4_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_0_bn   │ (None, 12, 12,    │      1,536 │ conv4_block4_con… │\n│ (BatchNormalizatio… │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_0_relu │ (None, 12, 12,    │          0 │ conv4_block5_0_b… │\n│ (Activation)        │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_1_conv │ (None, 12, 12,    │     49,152 │ conv4_block5_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_1_bn   │ (None, 12, 12,    │        512 │ conv4_block5_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_1_relu │ (None, 12, 12,    │          0 │ conv4_block5_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block5_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block5_concat │ (None, 12, 12,    │          0 │ conv4_block4_con… │\n│ (Concatenate)       │ 416)              │            │ conv4_block5_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_0_bn   │ (None, 12, 12,    │      1,664 │ conv4_block5_con… │\n│ (BatchNormalizatio… │ 416)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_0_relu │ (None, 12, 12,    │          0 │ conv4_block6_0_b… │\n│ (Activation)        │ 416)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_1_conv │ (None, 12, 12,    │     53,248 │ conv4_block6_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_1_bn   │ (None, 12, 12,    │        512 │ conv4_block6_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_1_relu │ (None, 12, 12,    │          0 │ conv4_block6_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block6_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block6_concat │ (None, 12, 12,    │          0 │ conv4_block5_con… │\n│ (Concatenate)       │ 448)              │            │ conv4_block6_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_0_bn   │ (None, 12, 12,    │      1,792 │ conv4_block6_con… │\n│ (BatchNormalizatio… │ 448)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_0_relu │ (None, 12, 12,    │          0 │ conv4_block7_0_b… │\n│ (Activation)        │ 448)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_1_conv │ (None, 12, 12,    │     57,344 │ conv4_block7_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_1_bn   │ (None, 12, 12,    │        512 │ conv4_block7_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_1_relu │ (None, 12, 12,    │          0 │ conv4_block7_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block7_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block7_concat │ (None, 12, 12,    │          0 │ conv4_block6_con… │\n│ (Concatenate)       │ 480)              │            │ conv4_block7_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_0_bn   │ (None, 12, 12,    │      1,920 │ conv4_block7_con… │\n│ (BatchNormalizatio… │ 480)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_0_relu │ (None, 12, 12,    │          0 │ conv4_block8_0_b… │\n│ (Activation)        │ 480)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_1_conv │ (None, 12, 12,    │     61,440 │ conv4_block8_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_1_bn   │ (None, 12, 12,    │        512 │ conv4_block8_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_1_relu │ (None, 12, 12,    │          0 │ conv4_block8_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block8_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block8_concat │ (None, 12, 12,    │          0 │ conv4_block7_con… │\n│ (Concatenate)       │ 512)              │            │ conv4_block8_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_0_bn   │ (None, 12, 12,    │      2,048 │ conv4_block8_con… │\n│ (BatchNormalizatio… │ 512)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_0_relu │ (None, 12, 12,    │          0 │ conv4_block9_0_b… │\n│ (Activation)        │ 512)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_1_conv │ (None, 12, 12,    │     65,536 │ conv4_block9_0_r… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_1_bn   │ (None, 12, 12,    │        512 │ conv4_block9_1_c… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_1_relu │ (None, 12, 12,    │          0 │ conv4_block9_1_b… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_2_conv │ (None, 12, 12,    │     36,864 │ conv4_block9_1_r… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block9_concat │ (None, 12, 12,    │          0 │ conv4_block8_con… │\n│ (Concatenate)       │ 544)              │            │ conv4_block9_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_0_bn  │ (None, 12, 12,    │      2,176 │ conv4_block9_con… │\n│ (BatchNormalizatio… │ 544)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_0_re… │ (None, 12, 12,    │          0 │ conv4_block10_0_… │\n│ (Activation)        │ 544)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_1_co… │ (None, 12, 12,    │     69,632 │ conv4_block10_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_1_bn  │ (None, 12, 12,    │        512 │ conv4_block10_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_1_re… │ (None, 12, 12,    │          0 │ conv4_block10_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block10_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block10_conc… │ (None, 12, 12,    │          0 │ conv4_block9_con… │\n│ (Concatenate)       │ 576)              │            │ conv4_block10_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_0_bn  │ (None, 12, 12,    │      2,304 │ conv4_block10_co… │\n│ (BatchNormalizatio… │ 576)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_0_re… │ (None, 12, 12,    │          0 │ conv4_block11_0_… │\n│ (Activation)        │ 576)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_1_co… │ (None, 12, 12,    │     73,728 │ conv4_block11_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_1_bn  │ (None, 12, 12,    │        512 │ conv4_block11_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_1_re… │ (None, 12, 12,    │          0 │ conv4_block11_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block11_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block11_conc… │ (None, 12, 12,    │          0 │ conv4_block10_co… │\n│ (Concatenate)       │ 608)              │            │ conv4_block11_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_0_bn  │ (None, 12, 12,    │      2,432 │ conv4_block11_co… │\n│ (BatchNormalizatio… │ 608)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_0_re… │ (None, 12, 12,    │          0 │ conv4_block12_0_… │\n│ (Activation)        │ 608)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_1_co… │ (None, 12, 12,    │     77,824 │ conv4_block12_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_1_bn  │ (None, 12, 12,    │        512 │ conv4_block12_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_1_re… │ (None, 12, 12,    │          0 │ conv4_block12_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block12_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block12_conc… │ (None, 12, 12,    │          0 │ conv4_block11_co… │\n│ (Concatenate)       │ 640)              │            │ conv4_block12_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_0_bn  │ (None, 12, 12,    │      2,560 │ conv4_block12_co… │\n│ (BatchNormalizatio… │ 640)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_0_re… │ (None, 12, 12,    │          0 │ conv4_block13_0_… │\n│ (Activation)        │ 640)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_1_co… │ (None, 12, 12,    │     81,920 │ conv4_block13_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_1_bn  │ (None, 12, 12,    │        512 │ conv4_block13_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_1_re… │ (None, 12, 12,    │          0 │ conv4_block13_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block13_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block13_conc… │ (None, 12, 12,    │          0 │ conv4_block12_co… │\n│ (Concatenate)       │ 672)              │            │ conv4_block13_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_0_bn  │ (None, 12, 12,    │      2,688 │ conv4_block13_co… │\n│ (BatchNormalizatio… │ 672)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_0_re… │ (None, 12, 12,    │          0 │ conv4_block14_0_… │\n│ (Activation)        │ 672)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_1_co… │ (None, 12, 12,    │     86,016 │ conv4_block14_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_1_bn  │ (None, 12, 12,    │        512 │ conv4_block14_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_1_re… │ (None, 12, 12,    │          0 │ conv4_block14_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block14_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block14_conc… │ (None, 12, 12,    │          0 │ conv4_block13_co… │\n│ (Concatenate)       │ 704)              │            │ conv4_block14_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_0_bn  │ (None, 12, 12,    │      2,816 │ conv4_block14_co… │\n│ (BatchNormalizatio… │ 704)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_0_re… │ (None, 12, 12,    │          0 │ conv4_block15_0_… │\n│ (Activation)        │ 704)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_1_co… │ (None, 12, 12,    │     90,112 │ conv4_block15_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_1_bn  │ (None, 12, 12,    │        512 │ conv4_block15_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_1_re… │ (None, 12, 12,    │          0 │ conv4_block15_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block15_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block15_conc… │ (None, 12, 12,    │          0 │ conv4_block14_co… │\n│ (Concatenate)       │ 736)              │            │ conv4_block15_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_0_bn  │ (None, 12, 12,    │      2,944 │ conv4_block15_co… │\n│ (BatchNormalizatio… │ 736)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_0_re… │ (None, 12, 12,    │          0 │ conv4_block16_0_… │\n│ (Activation)        │ 736)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_1_co… │ (None, 12, 12,    │     94,208 │ conv4_block16_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_1_bn  │ (None, 12, 12,    │        512 │ conv4_block16_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_1_re… │ (None, 12, 12,    │          0 │ conv4_block16_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block16_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block16_conc… │ (None, 12, 12,    │          0 │ conv4_block15_co… │\n│ (Concatenate)       │ 768)              │            │ conv4_block16_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_0_bn  │ (None, 12, 12,    │      3,072 │ conv4_block16_co… │\n│ (BatchNormalizatio… │ 768)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_0_re… │ (None, 12, 12,    │          0 │ conv4_block17_0_… │\n│ (Activation)        │ 768)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_1_co… │ (None, 12, 12,    │     98,304 │ conv4_block17_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_1_bn  │ (None, 12, 12,    │        512 │ conv4_block17_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_1_re… │ (None, 12, 12,    │          0 │ conv4_block17_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block17_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block17_conc… │ (None, 12, 12,    │          0 │ conv4_block16_co… │\n│ (Concatenate)       │ 800)              │            │ conv4_block17_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_0_bn  │ (None, 12, 12,    │      3,200 │ conv4_block17_co… │\n│ (BatchNormalizatio… │ 800)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_0_re… │ (None, 12, 12,    │          0 │ conv4_block18_0_… │\n│ (Activation)        │ 800)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_1_co… │ (None, 12, 12,    │    102,400 │ conv4_block18_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_1_bn  │ (None, 12, 12,    │        512 │ conv4_block18_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_1_re… │ (None, 12, 12,    │          0 │ conv4_block18_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block18_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block18_conc… │ (None, 12, 12,    │          0 │ conv4_block17_co… │\n│ (Concatenate)       │ 832)              │            │ conv4_block18_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_0_bn  │ (None, 12, 12,    │      3,328 │ conv4_block18_co… │\n│ (BatchNormalizatio… │ 832)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_0_re… │ (None, 12, 12,    │          0 │ conv4_block19_0_… │\n│ (Activation)        │ 832)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_1_co… │ (None, 12, 12,    │    106,496 │ conv4_block19_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_1_bn  │ (None, 12, 12,    │        512 │ conv4_block19_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_1_re… │ (None, 12, 12,    │          0 │ conv4_block19_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block19_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block19_conc… │ (None, 12, 12,    │          0 │ conv4_block18_co… │\n│ (Concatenate)       │ 864)              │            │ conv4_block19_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_0_bn  │ (None, 12, 12,    │      3,456 │ conv4_block19_co… │\n│ (BatchNormalizatio… │ 864)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_0_re… │ (None, 12, 12,    │          0 │ conv4_block20_0_… │\n│ (Activation)        │ 864)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_1_co… │ (None, 12, 12,    │    110,592 │ conv4_block20_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_1_bn  │ (None, 12, 12,    │        512 │ conv4_block20_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_1_re… │ (None, 12, 12,    │          0 │ conv4_block20_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block20_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block20_conc… │ (None, 12, 12,    │          0 │ conv4_block19_co… │\n│ (Concatenate)       │ 896)              │            │ conv4_block20_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_0_bn  │ (None, 12, 12,    │      3,584 │ conv4_block20_co… │\n│ (BatchNormalizatio… │ 896)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_0_re… │ (None, 12, 12,    │          0 │ conv4_block21_0_… │\n│ (Activation)        │ 896)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_1_co… │ (None, 12, 12,    │    114,688 │ conv4_block21_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_1_bn  │ (None, 12, 12,    │        512 │ conv4_block21_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_1_re… │ (None, 12, 12,    │          0 │ conv4_block21_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block21_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block21_conc… │ (None, 12, 12,    │          0 │ conv4_block20_co… │\n│ (Concatenate)       │ 928)              │            │ conv4_block21_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_0_bn  │ (None, 12, 12,    │      3,712 │ conv4_block21_co… │\n│ (BatchNormalizatio… │ 928)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_0_re… │ (None, 12, 12,    │          0 │ conv4_block22_0_… │\n│ (Activation)        │ 928)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_1_co… │ (None, 12, 12,    │    118,784 │ conv4_block22_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_1_bn  │ (None, 12, 12,    │        512 │ conv4_block22_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_1_re… │ (None, 12, 12,    │          0 │ conv4_block22_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block22_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block22_conc… │ (None, 12, 12,    │          0 │ conv4_block21_co… │\n│ (Concatenate)       │ 960)              │            │ conv4_block22_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_0_bn  │ (None, 12, 12,    │      3,840 │ conv4_block22_co… │\n│ (BatchNormalizatio… │ 960)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_0_re… │ (None, 12, 12,    │          0 │ conv4_block23_0_… │\n│ (Activation)        │ 960)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_1_co… │ (None, 12, 12,    │    122,880 │ conv4_block23_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_1_bn  │ (None, 12, 12,    │        512 │ conv4_block23_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_1_re… │ (None, 12, 12,    │          0 │ conv4_block23_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block23_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block23_conc… │ (None, 12, 12,    │          0 │ conv4_block22_co… │\n│ (Concatenate)       │ 992)              │            │ conv4_block23_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_0_bn  │ (None, 12, 12,    │      3,968 │ conv4_block23_co… │\n│ (BatchNormalizatio… │ 992)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_0_re… │ (None, 12, 12,    │          0 │ conv4_block24_0_… │\n│ (Activation)        │ 992)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_1_co… │ (None, 12, 12,    │    126,976 │ conv4_block24_0_… │\n│ (Conv2D)            │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_1_bn  │ (None, 12, 12,    │        512 │ conv4_block24_1_… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_1_re… │ (None, 12, 12,    │          0 │ conv4_block24_1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_2_co… │ (None, 12, 12,    │     36,864 │ conv4_block24_1_… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv4_block24_conc… │ (None, 12, 12,    │          0 │ conv4_block23_co… │\n│ (Concatenate)       │ 1024)             │            │ conv4_block24_2_… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool4_bn            │ (None, 12, 12,    │      4,096 │ conv4_block24_co… │\n│ (BatchNormalizatio… │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool4_relu          │ (None, 12, 12,    │          0 │ pool4_bn[0][0]    │\n│ (Activation)        │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool4_conv (Conv2D) │ (None, 12, 12,    │    524,288 │ pool4_relu[0][0]  │\n│                     │ 512)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ pool4_pool          │ (None, 6, 6, 512) │          0 │ pool4_conv[0][0]  │\n│ (AveragePooling2D)  │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_0_bn   │ (None, 6, 6, 512) │      2,048 │ pool4_pool[0][0]  │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_0_relu │ (None, 6, 6, 512) │          0 │ conv5_block1_0_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_1_conv │ (None, 6, 6, 128) │     65,536 │ conv5_block1_0_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_1_bn   │ (None, 6, 6, 128) │        512 │ conv5_block1_1_c… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_1_relu │ (None, 6, 6, 128) │          0 │ conv5_block1_1_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_2_conv │ (None, 6, 6, 32)  │     36,864 │ conv5_block1_1_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block1_concat │ (None, 6, 6, 544) │          0 │ pool4_pool[0][0], │\n│ (Concatenate)       │                   │            │ conv5_block1_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_0_bn   │ (None, 6, 6, 544) │      2,176 │ conv5_block1_con… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_0_relu │ (None, 6, 6, 544) │          0 │ conv5_block2_0_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_1_conv │ (None, 6, 6, 128) │     69,632 │ conv5_block2_0_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_1_bn   │ (None, 6, 6, 128) │        512 │ conv5_block2_1_c… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_1_relu │ (None, 6, 6, 128) │          0 │ conv5_block2_1_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_2_conv │ (None, 6, 6, 32)  │     36,864 │ conv5_block2_1_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block2_concat │ (None, 6, 6, 576) │          0 │ conv5_block1_con… │\n│ (Concatenate)       │                   │            │ conv5_block2_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_0_bn   │ (None, 6, 6, 576) │      2,304 │ conv5_block2_con… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_0_relu │ (None, 6, 6, 576) │          0 │ conv5_block3_0_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_1_conv │ (None, 6, 6, 128) │     73,728 │ conv5_block3_0_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_1_bn   │ (None, 6, 6, 128) │        512 │ conv5_block3_1_c… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_1_relu │ (None, 6, 6, 128) │          0 │ conv5_block3_1_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_2_conv │ (None, 6, 6, 32)  │     36,864 │ conv5_block3_1_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block3_concat │ (None, 6, 6, 608) │          0 │ conv5_block2_con… │\n│ (Concatenate)       │                   │            │ conv5_block3_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_0_bn   │ (None, 6, 6, 608) │      2,432 │ conv5_block3_con… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_0_relu │ (None, 6, 6, 608) │          0 │ conv5_block4_0_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_1_conv │ (None, 6, 6, 128) │     77,824 │ conv5_block4_0_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_1_bn   │ (None, 6, 6, 128) │        512 │ conv5_block4_1_c… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_1_relu │ (None, 6, 6, 128) │          0 │ conv5_block4_1_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_2_conv │ (None, 6, 6, 32)  │     36,864 │ conv5_block4_1_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block4_concat │ (None, 6, 6, 640) │          0 │ conv5_block3_con… │\n│ (Concatenate)       │                   │            │ conv5_block4_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_0_bn   │ (None, 6, 6, 640) │      2,560 │ conv5_block4_con… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_0_relu │ (None, 6, 6, 640) │          0 │ conv5_block5_0_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_1_conv │ (None, 6, 6, 128) │     81,920 │ conv5_block5_0_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_1_bn   │ (None, 6, 6, 128) │        512 │ conv5_block5_1_c… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_1_relu │ (None, 6, 6, 128) │          0 │ conv5_block5_1_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_2_conv │ (None, 6, 6, 32)  │     36,864 │ conv5_block5_1_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block5_concat │ (None, 6, 6, 672) │          0 │ conv5_block4_con… │\n│ (Concatenate)       │                   │            │ conv5_block5_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_0_bn   │ (None, 6, 6, 672) │      2,688 │ conv5_block5_con… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_0_relu │ (None, 6, 6, 672) │          0 │ conv5_block6_0_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_1_conv │ (None, 6, 6, 128) │     86,016 │ conv5_block6_0_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_1_bn   │ (None, 6, 6, 128) │        512 │ conv5_block6_1_c… │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_1_relu │ (None, 6, 6, 128) │          0 │ conv5_block6_1_b… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_2_conv │ (None, 6, 6, 32)  │     36,864 │ conv5_block6_1_r… │\n│ (Conv2D)            │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv5_block6_concat │ (None, 6, 6, 704) │          0 │ conv5_block5_con… │\n│ (Concatenate)       │                   │            │ conv5_block6_2_c… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ global_average_poo… │ (None, 704)       │          0 │ conv5_block6_con… │\n│ (GlobalAveragePool… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (Dense)       │ (None, 1024)      │    721,920 │ global_average_p… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_1 (Dense)     │ (None, 5)         │      5,125 │ dense[0][0]       │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m6,267,333\u001b[0m (23.91 MB)\n","text/html":"
 Total params: 6,267,333 (23.91 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m727,045\u001b[0m (2.77 MB)\n","text/html":"
 Trainable params: 727,045 (2.77 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m5,540,288\u001b[0m (21.13 MB)\n","text/html":"
 Non-trainable params: 5,540,288 (21.13 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[reduce_lr,model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:00:54.129738Z","iopub.execute_input":"2024-06-09T09:00:54.130032Z","iopub.status.idle":"2024-06-09T09:03:40.278937Z","shell.execute_reply.started":"2024-06-09T09:00:54.129999Z","shell.execute_reply":"2024-06-09T09:03:40.278048Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m 3/88\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - accuracy: 0.2319 - loss: 1.5977 ","output_type":"stream"},{"name":"stderr","text":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1717923691.717181 1612 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\nW0000 00:00:1717923691.789391 1612 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 247ms/step - accuracy: 0.6877 - loss: 1.0054","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1717923722.796932 1609 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.92000, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m84s\u001b[0m 570ms/step - accuracy: 0.6892 - loss: 1.0015 - val_accuracy: 0.9200 - val_loss: 0.2937 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9356 - loss: 0.2353\nEpoch 2: val_accuracy improved from 0.92000 to 0.93867, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 52ms/step - accuracy: 0.9357 - loss: 0.2350 - val_accuracy: 0.9387 - val_loss: 0.1869 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9598 - loss: 0.1452\nEpoch 3: val_accuracy improved from 0.93867 to 0.95733, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 54ms/step - accuracy: 0.9598 - loss: 0.1451 - val_accuracy: 0.9573 - val_loss: 0.1569 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9675 - loss: 0.1214\nEpoch 4: val_accuracy did not improve from 0.95733\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 0.9674 - loss: 0.1213 - val_accuracy: 0.9467 - val_loss: 0.1488 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9709 - loss: 0.0988\nEpoch 5: val_accuracy improved from 0.95733 to 0.96133, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - accuracy: 0.9710 - loss: 0.0987 - val_accuracy: 0.9613 - val_loss: 0.1112 - learning_rate: 0.0010\nEpoch 6/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9782 - loss: 0.0768\nEpoch 6: val_accuracy improved from 0.96133 to 0.96533, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9783 - loss: 0.0767 - val_accuracy: 0.9653 - val_loss: 0.0999 - learning_rate: 0.0010\nEpoch 7/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9825 - loss: 0.0607\nEpoch 7: val_accuracy improved from 0.96533 to 0.96800, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - accuracy: 0.9825 - loss: 0.0607 - val_accuracy: 0.9680 - val_loss: 0.0980 - learning_rate: 0.0010\nEpoch 8/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9858 - loss: 0.0499\nEpoch 8: val_accuracy improved from 0.96800 to 0.96933, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - accuracy: 0.9857 - loss: 0.0500 - val_accuracy: 0.9693 - val_loss: 0.0916 - learning_rate: 0.0010\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9887 - loss: 0.0512\nEpoch 9: val_accuracy improved from 0.96933 to 0.97200, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9887 - loss: 0.0511 - val_accuracy: 0.9720 - val_loss: 0.0895 - learning_rate: 0.0010\nEpoch 10/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9883 - loss: 0.0439\nEpoch 10: val_accuracy did not improve from 0.97200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9883 - loss: 0.0439 - val_accuracy: 0.9707 - val_loss: 0.0855 - learning_rate: 0.0010\nEpoch 11/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9940 - loss: 0.0370\nEpoch 11: val_accuracy improved from 0.97200 to 0.97333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - accuracy: 0.9939 - loss: 0.0369 - val_accuracy: 0.9733 - val_loss: 0.0772 - learning_rate: 0.0010\nEpoch 12/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9959 - loss: 0.0282\nEpoch 12: val_accuracy improved from 0.97333 to 0.97467, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9959 - loss: 0.0282 - val_accuracy: 0.9747 - val_loss: 0.0795 - learning_rate: 0.0010\nEpoch 13/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9915 - loss: 0.0309\nEpoch 13: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9915 - loss: 0.0309 - val_accuracy: 0.9707 - val_loss: 0.0812 - learning_rate: 0.0010\nEpoch 14/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9966 - loss: 0.0210\nEpoch 14: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9965 - loss: 0.0211 - val_accuracy: 0.9680 - val_loss: 0.0905 - learning_rate: 0.0010\nEpoch 15/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9957 - loss: 0.0208\nEpoch 15: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9957 - loss: 0.0208 - val_accuracy: 0.9653 - val_loss: 0.0920 - learning_rate: 0.0010\nEpoch 16/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 34ms/step - accuracy: 0.9965 - loss: 0.0204\nEpoch 16: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 16: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9965 - loss: 0.0204 - val_accuracy: 0.9733 - val_loss: 0.0851 - learning_rate: 0.0010\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9988 - loss: 0.0126\nEpoch 17: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9988 - loss: 0.0126 - val_accuracy: 0.9747 - val_loss: 0.0781 - learning_rate: 1.0000e-04\nEpoch 18/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9979 - loss: 0.0157\nEpoch 18: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9980 - loss: 0.0156 - val_accuracy: 0.9747 - val_loss: 0.0773 - learning_rate: 1.0000e-04\nEpoch 19/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9983 - loss: 0.0119\nEpoch 19: val_accuracy did not improve from 0.97467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 0.9983 - loss: 0.0119 - val_accuracy: 0.9747 - val_loss: 0.0763 - learning_rate: 1.0000e-04\nEpoch 20/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9996 - loss: 0.0098\nEpoch 20: val_accuracy improved from 0.97467 to 0.97733, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - accuracy: 0.9996 - loss: 0.0098 - val_accuracy: 0.9773 - val_loss: 0.0754 - learning_rate: 1.0000e-04\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:03:40.280804Z","iopub.execute_input":"2024-06-09T09:03:40.281145Z","iopub.status.idle":"2024-06-09T09:03:40.696384Z","shell.execute_reply.started":"2024-06-09T09:03:40.281115Z","shell.execute_reply":"2024-06-09T09:03:40.695363Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:03:40.703467Z","iopub.execute_input":"2024-06-09T09:03:40.703767Z","iopub.status.idle":"2024-06-09T09:03:40.998071Z","shell.execute_reply.started":"2024-06-09T09:03:40.703741Z","shell.execute_reply":"2024-06-09T09:03:40.997167Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### Xception","metadata":{}},{"cell_type":"code","source":"from keras.applications import Xception\nfrom keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint\n\n# Loading model\nxception_model = Xception(weights='imagenet', include_top=False, input_shape=(192, 192, 3))\nfeature_extractor = Model(inputs=xception_model.input, outputs=xception_model.get_layer('block14_sepconv2_act').output)\n\n# Freezing convolutional layers\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\n# Adding dense layers on top\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\n# binding model\nmodel = Model(inputs=feature_extractor.input, outputs=output)\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-7, verbose=1)\n\nmodel.summary() # model summary","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:03:40.999121Z","iopub.execute_input":"2024-06-09T09:03:40.999390Z","iopub.status.idle":"2024-06-09T09:03:42.840422Z","shell.execute_reply.started":"2024-06-09T09:03:40.999368Z","shell.execute_reply":"2024-06-09T09:03:42.839339Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","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[1m0s\u001b[0m 0us/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_7\"\u001b[0m\n","text/html":"
Model: \"functional_7\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\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;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ input_layer_1[\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;34m95\u001b[0m, \u001b[38;5;34m95\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;34m95\u001b[0m, \u001b[38;5;34m95\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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;34m93\u001b[0m, \u001b[38;5;34m93\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 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m47\u001b[0m, \u001b[38;5;34m47\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2d[\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;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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;34m47\u001b[0m, \u001b[38;5;34m47\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_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ conv2d_1[\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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;34m24\u001b[0m, \u001b[38;5;34m24\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_2 (\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;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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, │ \u001b[38;5;34m2,912\u001b[0m │ conv2d_2[\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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;34m12\u001b[0m, \u001b[38;5;34m12\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_3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ conv2d_3[\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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;34m6\u001b[0m, \u001b[38;5;34m6\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_2 (\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_3 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │ dense_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer_1       │ (None, 192, 192,  │          0 │ -                 │\n│ (InputLayer)        │ 3)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block1_conv1        │ (None, 95, 95,    │        864 │ input_layer_1[0]… │\n│ (Conv2D)            │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block1_conv1_bn     │ (None, 95, 95,    │        128 │ block1_conv1[0][… │\n│ (BatchNormalizatio… │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block1_conv1_act    │ (None, 95, 95,    │          0 │ block1_conv1_bn[… │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block1_conv2        │ (None, 93, 93,    │     18,432 │ block1_conv1_act… │\n│ (Conv2D)            │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block1_conv2_bn     │ (None, 93, 93,    │        256 │ block1_conv2[0][… │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block1_conv2_act    │ (None, 93, 93,    │          0 │ block1_conv2_bn[… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block2_sepconv1     │ (None, 93, 93,    │      8,768 │ block1_conv2_act… │\n│ (SeparableConv2D)   │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block2_sepconv1_bn  │ (None, 93, 93,    │        512 │ block2_sepconv1[… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block2_sepconv2_act │ (None, 93, 93,    │          0 │ block2_sepconv1_… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block2_sepconv2     │ (None, 93, 93,    │     17,536 │ block2_sepconv2_… │\n│ (SeparableConv2D)   │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block2_sepconv2_bn  │ (None, 93, 93,    │        512 │ block2_sepconv2[… │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d (Conv2D)     │ (None, 47, 47,    │      8,192 │ block1_conv2_act… │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block2_pool         │ (None, 47, 47,    │          0 │ block2_sepconv2_… │\n│ (MaxPooling2D)      │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalization │ (None, 47, 47,    │        512 │ conv2d[0][0]      │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add (Add)           │ (None, 47, 47,    │          0 │ block2_pool[0][0… │\n│                     │ 128)              │            │ batch_normalizat… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_sepconv1_act │ (None, 47, 47,    │          0 │ add[0][0]         │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_sepconv1     │ (None, 47, 47,    │     33,920 │ block3_sepconv1_… │\n│ (SeparableConv2D)   │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_sepconv1_bn  │ (None, 47, 47,    │      1,024 │ block3_sepconv1[… │\n│ (BatchNormalizatio… │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_sepconv2_act │ (None, 47, 47,    │          0 │ block3_sepconv1_… │\n│ (Activation)        │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_sepconv2     │ (None, 47, 47,    │     67,840 │ block3_sepconv2_… │\n│ (SeparableConv2D)   │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_sepconv2_bn  │ (None, 47, 47,    │      1,024 │ block3_sepconv2[… │\n│ (BatchNormalizatio… │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_1 (Conv2D)   │ (None, 24, 24,    │     32,768 │ add[0][0]         │\n│                     │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block3_pool         │ (None, 24, 24,    │          0 │ block3_sepconv2_… │\n│ (MaxPooling2D)      │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 24, 24,    │      1,024 │ conv2d_1[0][0]    │\n│ (BatchNormalizatio… │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_1 (Add)         │ (None, 24, 24,    │          0 │ block3_pool[0][0… │\n│                     │ 256)              │            │ batch_normalizat… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_sepconv1_act │ (None, 24, 24,    │          0 │ add_1[0][0]       │\n│ (Activation)        │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_sepconv1     │ (None, 24, 24,    │    188,672 │ block4_sepconv1_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_sepconv1_bn  │ (None, 24, 24,    │      2,912 │ block4_sepconv1[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_sepconv2_act │ (None, 24, 24,    │          0 │ block4_sepconv1_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_sepconv2     │ (None, 24, 24,    │    536,536 │ block4_sepconv2_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_sepconv2_bn  │ (None, 24, 24,    │      2,912 │ block4_sepconv2[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_2 (Conv2D)   │ (None, 12, 12,    │    186,368 │ add_1[0][0]       │\n│                     │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block4_pool         │ (None, 12, 12,    │          0 │ block4_sepconv2_… │\n│ (MaxPooling2D)      │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 12, 12,    │      2,912 │ conv2d_2[0][0]    │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_2 (Add)         │ (None, 12, 12,    │          0 │ block4_pool[0][0… │\n│                     │ 728)              │            │ batch_normalizat… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv1_act │ (None, 12, 12,    │          0 │ add_2[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv1     │ (None, 12, 12,    │    536,536 │ block5_sepconv1_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv1_bn  │ (None, 12, 12,    │      2,912 │ block5_sepconv1[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv2_act │ (None, 12, 12,    │          0 │ block5_sepconv1_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv2     │ (None, 12, 12,    │    536,536 │ block5_sepconv2_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv2_bn  │ (None, 12, 12,    │      2,912 │ block5_sepconv2[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv3_act │ (None, 12, 12,    │          0 │ block5_sepconv2_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv3     │ (None, 12, 12,    │    536,536 │ block5_sepconv3_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block5_sepconv3_bn  │ (None, 12, 12,    │      2,912 │ block5_sepconv3[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_3 (Add)         │ (None, 12, 12,    │          0 │ block5_sepconv3_… │\n│                     │ 728)              │            │ add_2[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv1_act │ (None, 12, 12,    │          0 │ add_3[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv1     │ (None, 12, 12,    │    536,536 │ block6_sepconv1_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv1_bn  │ (None, 12, 12,    │      2,912 │ block6_sepconv1[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv2_act │ (None, 12, 12,    │          0 │ block6_sepconv1_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv2     │ (None, 12, 12,    │    536,536 │ block6_sepconv2_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv2_bn  │ (None, 12, 12,    │      2,912 │ block6_sepconv2[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv3_act │ (None, 12, 12,    │          0 │ block6_sepconv2_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv3     │ (None, 12, 12,    │    536,536 │ block6_sepconv3_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block6_sepconv3_bn  │ (None, 12, 12,    │      2,912 │ block6_sepconv3[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_4 (Add)         │ (None, 12, 12,    │          0 │ block6_sepconv3_… │\n│                     │ 728)              │            │ add_3[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv1_act │ (None, 12, 12,    │          0 │ add_4[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv1     │ (None, 12, 12,    │    536,536 │ block7_sepconv1_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv1_bn  │ (None, 12, 12,    │      2,912 │ block7_sepconv1[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv2_act │ (None, 12, 12,    │          0 │ block7_sepconv1_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv2     │ (None, 12, 12,    │    536,536 │ block7_sepconv2_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv2_bn  │ (None, 12, 12,    │      2,912 │ block7_sepconv2[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv3_act │ (None, 12, 12,    │          0 │ block7_sepconv2_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv3     │ (None, 12, 12,    │    536,536 │ block7_sepconv3_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block7_sepconv3_bn  │ (None, 12, 12,    │      2,912 │ block7_sepconv3[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_5 (Add)         │ (None, 12, 12,    │          0 │ block7_sepconv3_… │\n│                     │ 728)              │            │ add_4[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv1_act │ (None, 12, 12,    │          0 │ add_5[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv1     │ (None, 12, 12,    │    536,536 │ block8_sepconv1_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv1_bn  │ (None, 12, 12,    │      2,912 │ block8_sepconv1[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv2_act │ (None, 12, 12,    │          0 │ block8_sepconv1_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv2     │ (None, 12, 12,    │    536,536 │ block8_sepconv2_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv2_bn  │ (None, 12, 12,    │      2,912 │ block8_sepconv2[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv3_act │ (None, 12, 12,    │          0 │ block8_sepconv2_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv3     │ (None, 12, 12,    │    536,536 │ block8_sepconv3_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block8_sepconv3_bn  │ (None, 12, 12,    │      2,912 │ block8_sepconv3[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_6 (Add)         │ (None, 12, 12,    │          0 │ block8_sepconv3_… │\n│                     │ 728)              │            │ add_5[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv1_act │ (None, 12, 12,    │          0 │ add_6[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv1     │ (None, 12, 12,    │    536,536 │ block9_sepconv1_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv1_bn  │ (None, 12, 12,    │      2,912 │ block9_sepconv1[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv2_act │ (None, 12, 12,    │          0 │ block9_sepconv1_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv2     │ (None, 12, 12,    │    536,536 │ block9_sepconv2_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv2_bn  │ (None, 12, 12,    │      2,912 │ block9_sepconv2[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv3_act │ (None, 12, 12,    │          0 │ block9_sepconv2_… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv3     │ (None, 12, 12,    │    536,536 │ block9_sepconv3_… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block9_sepconv3_bn  │ (None, 12, 12,    │      2,912 │ block9_sepconv3[… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_7 (Add)         │ (None, 12, 12,    │          0 │ block9_sepconv3_… │\n│                     │ 728)              │            │ add_6[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv1_a… │ (None, 12, 12,    │          0 │ add_7[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv1    │ (None, 12, 12,    │    536,536 │ block10_sepconv1… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv1_bn │ (None, 12, 12,    │      2,912 │ block10_sepconv1… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv2_a… │ (None, 12, 12,    │          0 │ block10_sepconv1… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv2    │ (None, 12, 12,    │    536,536 │ block10_sepconv2… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv2_bn │ (None, 12, 12,    │      2,912 │ block10_sepconv2… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv3_a… │ (None, 12, 12,    │          0 │ block10_sepconv2… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv3    │ (None, 12, 12,    │    536,536 │ block10_sepconv3… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block10_sepconv3_bn │ (None, 12, 12,    │      2,912 │ block10_sepconv3… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_8 (Add)         │ (None, 12, 12,    │          0 │ block10_sepconv3… │\n│                     │ 728)              │            │ add_7[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv1_a… │ (None, 12, 12,    │          0 │ add_8[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv1    │ (None, 12, 12,    │    536,536 │ block11_sepconv1… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv1_bn │ (None, 12, 12,    │      2,912 │ block11_sepconv1… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv2_a… │ (None, 12, 12,    │          0 │ block11_sepconv1… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv2    │ (None, 12, 12,    │    536,536 │ block11_sepconv2… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv2_bn │ (None, 12, 12,    │      2,912 │ block11_sepconv2… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv3_a… │ (None, 12, 12,    │          0 │ block11_sepconv2… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv3    │ (None, 12, 12,    │    536,536 │ block11_sepconv3… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block11_sepconv3_bn │ (None, 12, 12,    │      2,912 │ block11_sepconv3… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_9 (Add)         │ (None, 12, 12,    │          0 │ block11_sepconv3… │\n│                     │ 728)              │            │ add_8[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv1_a… │ (None, 12, 12,    │          0 │ add_9[0][0]       │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv1    │ (None, 12, 12,    │    536,536 │ block12_sepconv1… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv1_bn │ (None, 12, 12,    │      2,912 │ block12_sepconv1… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv2_a… │ (None, 12, 12,    │          0 │ block12_sepconv1… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv2    │ (None, 12, 12,    │    536,536 │ block12_sepconv2… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv2_bn │ (None, 12, 12,    │      2,912 │ block12_sepconv2… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv3_a… │ (None, 12, 12,    │          0 │ block12_sepconv2… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv3    │ (None, 12, 12,    │    536,536 │ block12_sepconv3… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block12_sepconv3_bn │ (None, 12, 12,    │      2,912 │ block12_sepconv3… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_10 (Add)        │ (None, 12, 12,    │          0 │ block12_sepconv3… │\n│                     │ 728)              │            │ add_9[0][0]       │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_sepconv1_a… │ (None, 12, 12,    │          0 │ add_10[0][0]      │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_sepconv1    │ (None, 12, 12,    │    536,536 │ block13_sepconv1… │\n│ (SeparableConv2D)   │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_sepconv1_bn │ (None, 12, 12,    │      2,912 │ block13_sepconv1… │\n│ (BatchNormalizatio… │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_sepconv2_a… │ (None, 12, 12,    │          0 │ block13_sepconv1… │\n│ (Activation)        │ 728)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_sepconv2    │ (None, 12, 12,    │    752,024 │ block13_sepconv2… │\n│ (SeparableConv2D)   │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_sepconv2_bn │ (None, 12, 12,    │      4,096 │ block13_sepconv2… │\n│ (BatchNormalizatio… │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_3 (Conv2D)   │ (None, 6, 6,      │    745,472 │ add_10[0][0]      │\n│                     │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block13_pool        │ (None, 6, 6,      │          0 │ block13_sepconv2… │\n│ (MaxPooling2D)      │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 6, 6,      │      4,096 │ conv2d_3[0][0]    │\n│ (BatchNormalizatio… │ 1024)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ add_11 (Add)        │ (None, 6, 6,      │          0 │ block13_pool[0][… │\n│                     │ 1024)             │            │ batch_normalizat… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block14_sepconv1    │ (None, 6, 6,      │  1,582,080 │ add_11[0][0]      │\n│ (SeparableConv2D)   │ 1536)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block14_sepconv1_bn │ (None, 6, 6,      │      6,144 │ block14_sepconv1… │\n│ (BatchNormalizatio… │ 1536)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block14_sepconv1_a… │ (None, 6, 6,      │          0 │ block14_sepconv1… │\n│ (Activation)        │ 1536)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block14_sepconv2    │ (None, 6, 6,      │  3,159,552 │ block14_sepconv1… │\n│ (SeparableConv2D)   │ 2048)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block14_sepconv2_bn │ (None, 6, 6,      │      8,192 │ block14_sepconv2… │\n│ (BatchNormalizatio… │ 2048)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ block14_sepconv2_a… │ (None, 6, 6,      │          0 │ block14_sepconv2… │\n│ (Activation)        │ 2048)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ global_average_poo… │ (None, 2048)      │          0 │ block14_sepconv2… │\n│ (GlobalAveragePool… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_2 (Dense)     │ (None, 1024)      │  2,098,176 │ global_average_p… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_3 (Dense)     │ (None, 5)         │      5,125 │ dense_2[0][0]     │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m22,964,781\u001b[0m (87.60 MB)\n","text/html":"
 Total params: 22,964,781 (87.60 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m20,861,480\u001b[0m (79.58 MB)\n","text/html":"
 Non-trainable params: 20,861,480 (79.58 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[reduce_lr,model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:03:42.841748Z","iopub.execute_input":"2024-06-09T09:03:42.842065Z","iopub.status.idle":"2024-06-09T09:05:48.414221Z","shell.execute_reply.started":"2024-06-09T09:03:42.842038Z","shell.execute_reply":"2024-06-09T09:05:48.411884Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 135ms/step - accuracy: 0.6926 - loss: 0.8798\nEpoch 1: val_accuracy improved from -inf to 0.88933, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 298ms/step - accuracy: 0.6938 - loss: 0.8762 - val_accuracy: 0.8893 - val_loss: 0.3152 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 36ms/step - accuracy: 0.9220 - loss: 0.2085\nEpoch 2: val_accuracy improved from 0.88933 to 0.91333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 56ms/step - accuracy: 0.9221 - loss: 0.2084 - val_accuracy: 0.9133 - val_loss: 0.2479 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9475 - loss: 0.1474\nEpoch 3: val_accuracy improved from 0.91333 to 0.91600, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 50ms/step - accuracy: 0.9476 - loss: 0.1471 - val_accuracy: 0.9160 - val_loss: 0.2419 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9707 - loss: 0.0976\nEpoch 4: val_accuracy improved from 0.91600 to 0.94000, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 57ms/step - accuracy: 0.9707 - loss: 0.0976 - val_accuracy: 0.9400 - val_loss: 0.1744 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9830 - loss: 0.0543\nEpoch 5: val_accuracy did not improve from 0.94000\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 0.9830 - loss: 0.0543 - val_accuracy: 0.9133 - val_loss: 0.2578 - learning_rate: 0.0010\nEpoch 6/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9901 - loss: 0.0356\nEpoch 6: val_accuracy improved from 0.94000 to 0.94267, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 0.9901 - loss: 0.0355 - val_accuracy: 0.9427 - val_loss: 0.1785 - learning_rate: 0.0010\nEpoch 7/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9967 - loss: 0.0185\nEpoch 7: val_accuracy did not improve from 0.94267\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 0.9967 - loss: 0.0185 - val_accuracy: 0.9387 - val_loss: 0.2031 - learning_rate: 0.0010\nEpoch 8/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9983 - loss: 0.0138\nEpoch 8: val_accuracy did not improve from 0.94267\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 0.9983 - loss: 0.0138 - val_accuracy: 0.9427 - val_loss: 0.1976 - learning_rate: 0.0010\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 0.9990 - loss: 0.0101\nEpoch 9: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 9: val_accuracy did not improve from 0.94267\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 0.9990 - loss: 0.0102 - val_accuracy: 0.9347 - val_loss: 0.2045 - learning_rate: 0.0010\nEpoch 10/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0070\nEpoch 10: val_accuracy did not improve from 0.94267\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 0.9999 - loss: 0.0070 - val_accuracy: 0.9427 - val_loss: 0.1834 - learning_rate: 1.0000e-04\nEpoch 11/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0049\nEpoch 11: val_accuracy improved from 0.94267 to 0.94800, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 1.0000 - loss: 0.0049 - val_accuracy: 0.9480 - val_loss: 0.1834 - learning_rate: 1.0000e-04\nEpoch 12/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0037\nEpoch 12: val_accuracy improved from 0.94800 to 0.95200, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - accuracy: 1.0000 - loss: 0.0037 - val_accuracy: 0.9520 - val_loss: 0.1823 - learning_rate: 1.0000e-04\nEpoch 13/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0035\nEpoch 13: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 42ms/step - accuracy: 1.0000 - loss: 0.0035 - val_accuracy: 0.9507 - val_loss: 0.1829 - learning_rate: 1.0000e-04\nEpoch 14/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0035\nEpoch 14: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 14: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0035 - val_accuracy: 0.9507 - val_loss: 0.1833 - learning_rate: 1.0000e-04\nEpoch 15/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0031\nEpoch 15: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0031 - val_accuracy: 0.9507 - val_loss: 0.1830 - learning_rate: 1.0000e-05\nEpoch 16/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0029\nEpoch 16: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0029 - val_accuracy: 0.9507 - val_loss: 0.1828 - learning_rate: 1.0000e-05\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0030\nEpoch 17: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0030 - val_accuracy: 0.9507 - val_loss: 0.1828 - learning_rate: 1.0000e-05\nEpoch 18/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0033\nEpoch 18: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0033 - val_accuracy: 0.9507 - val_loss: 0.1829 - learning_rate: 1.0000e-05\nEpoch 19/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0031\nEpoch 19: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n\nEpoch 19: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0031 - val_accuracy: 0.9507 - val_loss: 0.1829 - learning_rate: 1.0000e-05\nEpoch 20/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 35ms/step - accuracy: 1.0000 - loss: 0.0030\nEpoch 20: val_accuracy did not improve from 0.95200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - accuracy: 1.0000 - loss: 0.0030 - val_accuracy: 0.9507 - val_loss: 0.1828 - learning_rate: 1.0000e-06\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:05:54.123544Z","iopub.execute_input":"2024-06-09T09:05:54.123943Z","iopub.status.idle":"2024-06-09T09:05:54.405477Z","shell.execute_reply.started":"2024-06-09T09:05:54.123914Z","shell.execute_reply":"2024-06-09T09:05:54.404443Z"},"trusted":true},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:05:54.547818Z","iopub.execute_input":"2024-06-09T09:05:54.548408Z","iopub.status.idle":"2024-06-09T09:05:54.850536Z","shell.execute_reply.started":"2024-06-09T09:05:54.548379Z","shell.execute_reply":"2024-06-09T09:05:54.849557Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### Inception","metadata":{}},{"cell_type":"code","source":"from keras.applications import InceptionV3\nfrom keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint\n\n# Loading model\ninception_model = InceptionV3(weights='imagenet', include_top=False, input_shape=(192, 192, 3))\nfeature_extractor = Model(inputs=inception_model.input, outputs=inception_model.get_layer('mixed10').output)\n\n# Freezing convolutional layers\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\n# Adding dense layers on top\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\n# binding model\nmodel = Model(inputs=feature_extractor.input, outputs=output)\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-7, verbose=1)\n\nmodel.summary() # model summary","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:08:29.601529Z","iopub.execute_input":"2024-06-09T09:08:29.601823Z","iopub.status.idle":"2024-06-09T09:08:32.454774Z","shell.execute_reply.started":"2024-06-09T09:08:29.601799Z","shell.execute_reply":"2024-06-09T09:08:32.453827Z"},"trusted":true},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_3\"\u001b[0m\n","text/html":"
Model: \"functional_3\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m864\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ │ \u001b[38;5;34m32\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d[\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 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m95\u001b[0m, \u001b[38;5;34m95\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_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m93\u001b[0m, \u001b[38;5;34m93\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ activation[\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;34m93\u001b[0m, \u001b[38;5;34m93\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_1[\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_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m93\u001b[0m, \u001b[38;5;34m93\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_2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m93\u001b[0m, \u001b[38;5;34m93\u001b[0m, │ \u001b[38;5;34m18,432\u001b[0m │ activation_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m93\u001b[0m, \u001b[38;5;34m93\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_2[\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_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m93\u001b[0m, \u001b[38;5;34m93\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 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m46\u001b[0m, \u001b[38;5;34m46\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m46\u001b[0m, \u001b[38;5;34m46\u001b[0m, │ \u001b[38;5;34m5,120\u001b[0m │ max_pooling2d[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m80\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m46\u001b[0m, \u001b[38;5;34m46\u001b[0m, │ \u001b[38;5;34m240\u001b[0m │ conv2d_3[\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_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m46\u001b[0m, \u001b[38;5;34m46\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_4 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m44\u001b[0m, \u001b[38;5;34m44\u001b[0m, │ \u001b[38;5;34m138,240\u001b[0m │ activation_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m44\u001b[0m, \u001b[38;5;34m44\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_4[\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_4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m44\u001b[0m, \u001b[38;5;34m44\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_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_8 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_1[\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_8[\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_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_6 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m9,216\u001b[0m │ max_pooling2d_1[\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m48\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_9 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_6[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_9[\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_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ max_pooling2d_1[\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_5 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ max_pooling2d_1[\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_7 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_10 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_11 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_5[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_7[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_10[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m96\u001b[0m │ conv2d_11[\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_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_10 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_11 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ activation_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n│ │ │ │ activation_10[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_11[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_15 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_15[\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_15 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_13 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_16 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_15[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_13[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_16[\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_13 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_16 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\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_12 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_14 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_13[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_17 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_16[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_18 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_12[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_14[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_17[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_18[\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_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_14 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_17 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_18 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_12[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ activation_14[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_17[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_18[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_22 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_22[\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_22 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_20 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_23 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_22[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m144\u001b[0m │ conv2d_20[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_23[\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_20 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_23 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\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_19 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_21 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m76,800\u001b[0m │ activation_20[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_24 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_23[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m96\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_25 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_19[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_21[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_24[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_25[\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_19 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_21 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_24 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_25 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_19[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ activation_21[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_24[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_25[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_27 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m192\u001b[0m │ conv2d_27[\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_27 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_28 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m55,296\u001b[0m │ activation_27[\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;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_28[\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_28 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\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_26 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_29 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m82,944\u001b[0m │ activation_28[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_26[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m288\u001b[0m │ conv2d_29[\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_26 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_29 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_26[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_29[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ max_pooling2d_2[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_34 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_34[\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_34 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_35 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_34[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_35[\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_35 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_31 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_36 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_35[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_31[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_36[\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_31 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_36 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_32 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_31[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_37 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ activation_36[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_32[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2d_37[\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_32 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_37 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_30 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_33 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m172,032\u001b[0m │ activation_32[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_38 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m172,032\u001b[0m │ activation_37[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_39 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_30[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_33[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_38[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_39[\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_30 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_33 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_38 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_39 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_30[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_33[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_38[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_39[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_44 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_44[\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_44 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_45 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_44[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_45[\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_45 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_41 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_46 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_45[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_41[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_46[\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_41 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_46 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_42 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_41[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_47 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_46[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_42[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_47[\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_42 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_47 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_40 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_43 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_42[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_48 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_47[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_49 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_40[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_43[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_48[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_49[\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_40 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_43 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_48 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_49 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_40[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_43[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_48[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_49[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_54 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_54[\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_54 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_55 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_54[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_55[\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_55 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_51 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_56 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_55[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_51[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_56[\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_51 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_56 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_52 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_51[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m160\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_57 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m179,200\u001b[0m │ activation_56[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_52[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m480\u001b[0m │ conv2d_57[\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_52 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_57 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\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_50 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_53 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_52[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_58 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m215,040\u001b[0m │ activation_57[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_59 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_50[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_53[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_58[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_59[\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_50 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_53 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_58 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_59 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_50[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_53[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_58[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_59[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_64 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_64[\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_64 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_65 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_64[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_65[\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_65 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_61 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_66 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_65[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_61[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_66[\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_61 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_66 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_62 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_61[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_67 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_66[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_62[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_67[\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_62 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_67 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_60 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_63 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_62[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_68 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_67[\u001b[38;5;34m0\u001b[0m]… │\n│ │ \u001b[38;5;34m192\u001b[0m) │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_69 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_60[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_63[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_68[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_69[\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_60 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_63 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_68 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_69 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_60[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ activation_63[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_68[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ activation_69[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_72 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_72[\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_72 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_73 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_72[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_73[\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_73 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_70 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_74 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m258,048\u001b[0m │ activation_73[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_70[\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;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, │ \u001b[38;5;34m576\u001b[0m │ conv2d_74[\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_70 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_74 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\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_71 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m552,960\u001b[0m │ activation_70[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_75 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m331,776\u001b[0m │ activation_74[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_71[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_75[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_71 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_75 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_71[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ activation_75[\u001b[38;5;34m0\u001b[0m]… │\n│ │ │ │ max_pooling2d_3[\u001b[38;5;34m…\u001b[0m │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_80 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m1,344\u001b[0m │ conv2d_80[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_80 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_77 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_81 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,548,288\u001b[0m │ activation_80[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_77[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_81[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_77 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_81 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_78 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_77[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_79 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_77[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_82 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_81[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_83 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_81[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_76 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_78[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_79[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_82[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_83[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_84 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_76[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_78 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_79 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_82 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_83 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_84[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_76 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_78[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_79[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_82[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_83[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_84 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_76[\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_84[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_89 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m448\u001b[0m) │ \u001b[38;5;34m1,344\u001b[0m │ conv2d_89[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_89 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_86 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_90 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,548,288\u001b[0m │ activation_89[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_86[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_90[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_86 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_90 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_87 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_86[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_88 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_86[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_91 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_90[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_92 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m442,368\u001b[0m │ activation_90[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_85 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_87[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_88[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_91[\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m384\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │ conv2d_92[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_93 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m320\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ conv2d_85[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_87 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_88 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_91 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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_92 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │ conv2d_93[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_85 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_87[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_88[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m768\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation_91[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ activation_92[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_93 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ activation_85[\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_93[\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 (\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_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer         │ (None, 192, 192,  │          0 │ -                 │\n│ (InputLayer)        │ 3)                │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d (Conv2D)     │ (None, 95, 95,    │        864 │ input_layer[0][0] │\n│                     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalization │ (None, 95, 95,    │         96 │ conv2d[0][0]      │\n│ (BatchNormalizatio… │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation          │ (None, 95, 95,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_1 (Conv2D)   │ (None, 93, 93,    │      9,216 │ activation[0][0]  │\n│                     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 93, 93,    │         96 │ conv2d_1[0][0]    │\n│ (BatchNormalizatio… │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_1        │ (None, 93, 93,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_2 (Conv2D)   │ (None, 93, 93,    │     18,432 │ activation_1[0][… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 93, 93,    │        192 │ conv2d_2[0][0]    │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_2        │ (None, 93, 93,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d       │ (None, 46, 46,    │          0 │ activation_2[0][… │\n│ (MaxPooling2D)      │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_3 (Conv2D)   │ (None, 46, 46,    │      5,120 │ max_pooling2d[0]… │\n│                     │ 80)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 46, 46,    │        240 │ conv2d_3[0][0]    │\n│ (BatchNormalizatio… │ 80)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_3        │ (None, 46, 46,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 80)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_4 (Conv2D)   │ (None, 44, 44,    │    138,240 │ activation_3[0][… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 44, 44,    │        576 │ conv2d_4[0][0]    │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_4        │ (None, 44, 44,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_1     │ (None, 21, 21,    │          0 │ activation_4[0][… │\n│ (MaxPooling2D)      │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_8 (Conv2D)   │ (None, 21, 21,    │     12,288 │ max_pooling2d_1[… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_8[0][0]    │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_8        │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_6 (Conv2D)   │ (None, 21, 21,    │      9,216 │ max_pooling2d_1[… │\n│                     │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_9 (Conv2D)   │ (None, 21, 21,    │     55,296 │ activation_8[0][… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        144 │ conv2d_6[0][0]    │\n│ (BatchNormalizatio… │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_9[0][0]    │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_6        │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_9        │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d   │ (None, 21, 21,    │          0 │ max_pooling2d_1[… │\n│ (AveragePooling2D)  │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_5 (Conv2D)   │ (None, 21, 21,    │     12,288 │ max_pooling2d_1[… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_7 (Conv2D)   │ (None, 21, 21,    │     76,800 │ activation_6[0][… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_10 (Conv2D)  │ (None, 21, 21,    │     82,944 │ activation_9[0][… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_11 (Conv2D)  │ (None, 21, 21,    │      6,144 │ average_pooling2… │\n│                     │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_5[0][0]    │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_7[0][0]    │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_10[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │         96 │ conv2d_11[0][0]   │\n│ (BatchNormalizatio… │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_5        │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_7        │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_10       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_11       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 32)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed0              │ (None, 21, 21,    │          0 │ activation_5[0][… │\n│ (Concatenate)       │ 256)              │            │ activation_7[0][… │\n│                     │                   │            │ activation_10[0]… │\n│                     │                   │            │ activation_11[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_15 (Conv2D)  │ (None, 21, 21,    │     16,384 │ mixed0[0][0]      │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_15[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_15       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_13 (Conv2D)  │ (None, 21, 21,    │     12,288 │ mixed0[0][0]      │\n│                     │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_16 (Conv2D)  │ (None, 21, 21,    │     55,296 │ activation_15[0]… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        144 │ conv2d_13[0][0]   │\n│ (BatchNormalizatio… │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_16[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_13       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_16       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_1 │ (None, 21, 21,    │          0 │ mixed0[0][0]      │\n│ (AveragePooling2D)  │ 256)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_12 (Conv2D)  │ (None, 21, 21,    │     16,384 │ mixed0[0][0]      │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_14 (Conv2D)  │ (None, 21, 21,    │     76,800 │ activation_13[0]… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_17 (Conv2D)  │ (None, 21, 21,    │     82,944 │ activation_16[0]… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_18 (Conv2D)  │ (None, 21, 21,    │     16,384 │ average_pooling2… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_12[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_14[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_17[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_18[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_12       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_14       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_17       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_18       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed1              │ (None, 21, 21,    │          0 │ activation_12[0]… │\n│ (Concatenate)       │ 288)              │            │ activation_14[0]… │\n│                     │                   │            │ activation_17[0]… │\n│                     │                   │            │ activation_18[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_22 (Conv2D)  │ (None, 21, 21,    │     18,432 │ mixed1[0][0]      │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_22[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_22       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_20 (Conv2D)  │ (None, 21, 21,    │     13,824 │ mixed1[0][0]      │\n│                     │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_23 (Conv2D)  │ (None, 21, 21,    │     55,296 │ activation_22[0]… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        144 │ conv2d_20[0][0]   │\n│ (BatchNormalizatio… │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_23[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_20       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 48)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_23       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_2 │ (None, 21, 21,    │          0 │ mixed1[0][0]      │\n│ (AveragePooling2D)  │ 288)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_19 (Conv2D)  │ (None, 21, 21,    │     18,432 │ mixed1[0][0]      │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_21 (Conv2D)  │ (None, 21, 21,    │     76,800 │ activation_20[0]… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_24 (Conv2D)  │ (None, 21, 21,    │     82,944 │ activation_23[0]… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_25 (Conv2D)  │ (None, 21, 21,    │     18,432 │ average_pooling2… │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_19[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_21[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_24[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_25[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_19       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_21       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_24       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_25       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed2              │ (None, 21, 21,    │          0 │ activation_19[0]… │\n│ (Concatenate)       │ 288)              │            │ activation_21[0]… │\n│                     │                   │            │ activation_24[0]… │\n│                     │                   │            │ activation_25[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_27 (Conv2D)  │ (None, 21, 21,    │     18,432 │ mixed2[0][0]      │\n│                     │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        192 │ conv2d_27[0][0]   │\n│ (BatchNormalizatio… │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_27       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 64)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_28 (Conv2D)  │ (None, 21, 21,    │     55,296 │ activation_27[0]… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 21, 21,    │        288 │ conv2d_28[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_28       │ (None, 21, 21,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_26 (Conv2D)  │ (None, 10, 10,    │    995,328 │ mixed2[0][0]      │\n│                     │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_29 (Conv2D)  │ (None, 10, 10,    │     82,944 │ activation_28[0]… │\n│                     │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │      1,152 │ conv2d_26[0][0]   │\n│ (BatchNormalizatio… │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        288 │ conv2d_29[0][0]   │\n│ (BatchNormalizatio… │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_26       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 384)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_29       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 96)               │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_2     │ (None, 10, 10,    │          0 │ mixed2[0][0]      │\n│ (MaxPooling2D)      │ 288)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed3              │ (None, 10, 10,    │          0 │ activation_26[0]… │\n│ (Concatenate)       │ 768)              │            │ activation_29[0]… │\n│                     │                   │            │ max_pooling2d_2[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_34 (Conv2D)  │ (None, 10, 10,    │     98,304 │ mixed3[0][0]      │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        384 │ conv2d_34[0][0]   │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_34       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_35 (Conv2D)  │ (None, 10, 10,    │    114,688 │ activation_34[0]… │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        384 │ conv2d_35[0][0]   │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_35       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_31 (Conv2D)  │ (None, 10, 10,    │     98,304 │ mixed3[0][0]      │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_36 (Conv2D)  │ (None, 10, 10,    │    114,688 │ activation_35[0]… │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        384 │ conv2d_31[0][0]   │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        384 │ conv2d_36[0][0]   │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_31       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_36       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_32 (Conv2D)  │ (None, 10, 10,    │    114,688 │ activation_31[0]… │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_37 (Conv2D)  │ (None, 10, 10,    │    114,688 │ activation_36[0]… │\n│                     │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        384 │ conv2d_32[0][0]   │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        384 │ conv2d_37[0][0]   │\n│ (BatchNormalizatio… │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_32       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_37       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 128)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_3 │ (None, 10, 10,    │          0 │ mixed3[0][0]      │\n│ (AveragePooling2D)  │ 768)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_30 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed3[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_33 (Conv2D)  │ (None, 10, 10,    │    172,032 │ activation_32[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_38 (Conv2D)  │ (None, 10, 10,    │    172,032 │ activation_37[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_39 (Conv2D)  │ (None, 10, 10,    │    147,456 │ average_pooling2… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_30[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_33[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_38[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_39[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_30       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_33       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_38       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_39       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed4              │ (None, 10, 10,    │          0 │ activation_30[0]… │\n│ (Concatenate)       │ 768)              │            │ activation_33[0]… │\n│                     │                   │            │ activation_38[0]… │\n│                     │                   │            │ activation_39[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_44 (Conv2D)  │ (None, 10, 10,    │    122,880 │ mixed4[0][0]      │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_44[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_44       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_45 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_44[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_45[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_45       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_41 (Conv2D)  │ (None, 10, 10,    │    122,880 │ mixed4[0][0]      │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_46 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_45[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_41[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_46[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_41       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_46       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_42 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_41[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_47 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_46[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_42[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_47[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_42       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_47       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_4 │ (None, 10, 10,    │          0 │ mixed4[0][0]      │\n│ (AveragePooling2D)  │ 768)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_40 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed4[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_43 (Conv2D)  │ (None, 10, 10,    │    215,040 │ activation_42[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_48 (Conv2D)  │ (None, 10, 10,    │    215,040 │ activation_47[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_49 (Conv2D)  │ (None, 10, 10,    │    147,456 │ average_pooling2… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_40[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_43[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_48[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_49[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_40       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_43       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_48       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_49       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed5              │ (None, 10, 10,    │          0 │ activation_40[0]… │\n│ (Concatenate)       │ 768)              │            │ activation_43[0]… │\n│                     │                   │            │ activation_48[0]… │\n│                     │                   │            │ activation_49[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_54 (Conv2D)  │ (None, 10, 10,    │    122,880 │ mixed5[0][0]      │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_54[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_54       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_55 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_54[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_55[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_55       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_51 (Conv2D)  │ (None, 10, 10,    │    122,880 │ mixed5[0][0]      │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_56 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_55[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_51[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_56[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_51       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_56       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_52 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_51[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_57 (Conv2D)  │ (None, 10, 10,    │    179,200 │ activation_56[0]… │\n│                     │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_52[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        480 │ conv2d_57[0][0]   │\n│ (BatchNormalizatio… │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_52       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_57       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 160)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_5 │ (None, 10, 10,    │          0 │ mixed5[0][0]      │\n│ (AveragePooling2D)  │ 768)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_50 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed5[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_53 (Conv2D)  │ (None, 10, 10,    │    215,040 │ activation_52[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_58 (Conv2D)  │ (None, 10, 10,    │    215,040 │ activation_57[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_59 (Conv2D)  │ (None, 10, 10,    │    147,456 │ average_pooling2… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_50[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_53[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_58[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_59[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_50       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_53       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_58       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_59       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed6              │ (None, 10, 10,    │          0 │ activation_50[0]… │\n│ (Concatenate)       │ 768)              │            │ activation_53[0]… │\n│                     │                   │            │ activation_58[0]… │\n│                     │                   │            │ activation_59[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_64 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed6[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_64[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_64       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_65 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_64[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_65[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_65       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_61 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed6[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_66 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_65[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_61[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_66[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_61       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_66       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_62 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_61[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_67 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_66[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_62[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_67[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_62       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_67       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_6 │ (None, 10, 10,    │          0 │ mixed6[0][0]      │\n│ (AveragePooling2D)  │ 768)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_60 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed6[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_63 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_62[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_68 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_67[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_69 (Conv2D)  │ (None, 10, 10,    │    147,456 │ average_pooling2… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_60[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_63[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_68[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_69[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_60       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_63       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_68       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_69       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed7              │ (None, 10, 10,    │          0 │ activation_60[0]… │\n│ (Concatenate)       │ 768)              │            │ activation_63[0]… │\n│                     │                   │            │ activation_68[0]… │\n│                     │                   │            │ activation_69[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_72 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed7[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_72[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_72       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_73 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_72[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_73[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_73       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_70 (Conv2D)  │ (None, 10, 10,    │    147,456 │ mixed7[0][0]      │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_74 (Conv2D)  │ (None, 10, 10,    │    258,048 │ activation_73[0]… │\n│                     │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_70[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 10, 10,    │        576 │ conv2d_74[0][0]   │\n│ (BatchNormalizatio… │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_70       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_74       │ (None, 10, 10,    │          0 │ batch_normalizat… │\n│ (Activation)        │ 192)              │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_71 (Conv2D)  │ (None, 4, 4, 320) │    552,960 │ activation_70[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_75 (Conv2D)  │ (None, 4, 4, 192) │    331,776 │ activation_74[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 320) │        960 │ conv2d_71[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 192) │        576 │ conv2d_75[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_71       │ (None, 4, 4, 320) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_75       │ (None, 4, 4, 192) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ max_pooling2d_3     │ (None, 4, 4, 768) │          0 │ mixed7[0][0]      │\n│ (MaxPooling2D)      │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed8              │ (None, 4, 4,      │          0 │ activation_71[0]… │\n│ (Concatenate)       │ 1280)             │            │ activation_75[0]… │\n│                     │                   │            │ max_pooling2d_3[… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_80 (Conv2D)  │ (None, 4, 4, 448) │    573,440 │ mixed8[0][0]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 448) │      1,344 │ conv2d_80[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_80       │ (None, 4, 4, 448) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_77 (Conv2D)  │ (None, 4, 4, 384) │    491,520 │ mixed8[0][0]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_81 (Conv2D)  │ (None, 4, 4, 384) │  1,548,288 │ activation_80[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_77[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_81[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_77       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_81       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_78 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_77[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_79 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_77[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_82 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_81[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_83 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_81[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_7 │ (None, 4, 4,      │          0 │ mixed8[0][0]      │\n│ (AveragePooling2D)  │ 1280)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_76 (Conv2D)  │ (None, 4, 4, 320) │    409,600 │ mixed8[0][0]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_78[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_79[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_82[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_83[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_84 (Conv2D)  │ (None, 4, 4, 192) │    245,760 │ average_pooling2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 320) │        960 │ conv2d_76[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_78       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_79       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_82       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_83       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 192) │        576 │ conv2d_84[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_76       │ (None, 4, 4, 320) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9_0            │ (None, 4, 4, 768) │          0 │ activation_78[0]… │\n│ (Concatenate)       │                   │            │ activation_79[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate         │ (None, 4, 4, 768) │          0 │ activation_82[0]… │\n│ (Concatenate)       │                   │            │ activation_83[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_84       │ (None, 4, 4, 192) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9              │ (None, 4, 4,      │          0 │ activation_76[0]… │\n│ (Concatenate)       │ 2048)             │            │ mixed9_0[0][0],   │\n│                     │                   │            │ concatenate[0][0… │\n│                     │                   │            │ activation_84[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_89 (Conv2D)  │ (None, 4, 4, 448) │    917,504 │ mixed9[0][0]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 448) │      1,344 │ conv2d_89[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_89       │ (None, 4, 4, 448) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_86 (Conv2D)  │ (None, 4, 4, 384) │    786,432 │ mixed9[0][0]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_90 (Conv2D)  │ (None, 4, 4, 384) │  1,548,288 │ activation_89[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_86[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_90[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_86       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_90       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_87 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_86[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_88 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_86[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_91 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_90[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_92 (Conv2D)  │ (None, 4, 4, 384) │    442,368 │ activation_90[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ average_pooling2d_8 │ (None, 4, 4,      │          0 │ mixed9[0][0]      │\n│ (AveragePooling2D)  │ 2048)             │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_85 (Conv2D)  │ (None, 4, 4, 320) │    655,360 │ mixed9[0][0]      │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_87[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_88[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_91[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 384) │      1,152 │ conv2d_92[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ conv2d_93 (Conv2D)  │ (None, 4, 4, 192) │    393,216 │ average_pooling2… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 320) │        960 │ conv2d_85[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_87       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_88       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_91       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_92       │ (None, 4, 4, 384) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ batch_normalizatio… │ (None, 4, 4, 192) │        576 │ conv2d_93[0][0]   │\n│ (BatchNormalizatio… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_85       │ (None, 4, 4, 320) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed9_1            │ (None, 4, 4, 768) │          0 │ activation_87[0]… │\n│ (Concatenate)       │                   │            │ activation_88[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ concatenate_1       │ (None, 4, 4, 768) │          0 │ activation_91[0]… │\n│ (Concatenate)       │                   │            │ activation_92[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ activation_93       │ (None, 4, 4, 192) │          0 │ batch_normalizat… │\n│ (Activation)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ mixed10             │ (None, 4, 4,      │          0 │ activation_85[0]… │\n│ (Concatenate)       │ 2048)             │            │ mixed9_1[0][0],   │\n│                     │                   │            │ concatenate_1[0]… │\n│                     │                   │            │ activation_93[0]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ global_average_poo… │ (None, 2048)      │          0 │ mixed10[0][0]     │\n│ (GlobalAveragePool… │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (Dense)       │ (None, 1024)      │  2,098,176 │ global_average_p… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense_1 (Dense)     │ (None, 5)         │      5,125 │ dense[0][0]       │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m23,906,085\u001b[0m (91.19 MB)\n","text/html":"
 Total params: 23,906,085 (91.19 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,103,301\u001b[0m (8.02 MB)\n","text/html":"
 Trainable params: 2,103,301 (8.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m21,802,784\u001b[0m (83.17 MB)\n","text/html":"
 Non-trainable params: 21,802,784 (83.17 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[reduce_lr,model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:08:32.456082Z","iopub.execute_input":"2024-06-09T09:08:32.456395Z","iopub.status.idle":"2024-06-09T09:10:33.852489Z","shell.execute_reply.started":"2024-06-09T09:08:32.456368Z","shell.execute_reply":"2024-06-09T09:10:33.851248Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m 3/88\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m3s\u001b[0m 38ms/step - accuracy: 0.2139 - loss: 3.4658 ","output_type":"stream"},{"name":"stderr","text":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1717924141.404631 2433 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 186ms/step - accuracy: 0.4311 - loss: 3.6799\nEpoch 1: val_accuracy improved from -inf to 0.88133, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m63s\u001b[0m 437ms/step - accuracy: 0.4335 - loss: 3.6600 - val_accuracy: 0.8813 - val_loss: 0.3652 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step - accuracy: 0.9014 - loss: 0.2920\nEpoch 2: val_accuracy improved from 0.88133 to 0.91333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - accuracy: 0.9014 - loss: 0.2920 - val_accuracy: 0.9133 - val_loss: 0.2575 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9162 - loss: 0.2349\nEpoch 3: val_accuracy did not improve from 0.91333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.9162 - loss: 0.2348 - val_accuracy: 0.9080 - val_loss: 0.2783 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9394 - loss: 0.1723\nEpoch 4: val_accuracy did not improve from 0.91333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.9394 - loss: 0.1722 - val_accuracy: 0.8960 - val_loss: 0.3092 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9593 - loss: 0.1143\nEpoch 5: val_accuracy improved from 0.91333 to 0.91600, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 40ms/step - accuracy: 0.9595 - loss: 0.1139 - val_accuracy: 0.9160 - val_loss: 0.2883 - learning_rate: 0.0010\nEpoch 6/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9783 - loss: 0.0644\nEpoch 6: val_accuracy did not improve from 0.91600\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 30ms/step - accuracy: 0.9782 - loss: 0.0645 - val_accuracy: 0.9147 - val_loss: 0.2780 - learning_rate: 0.0010\nEpoch 7/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9805 - loss: 0.0604\nEpoch 7: val_accuracy improved from 0.91600 to 0.92800, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 40ms/step - accuracy: 0.9806 - loss: 0.0602 - val_accuracy: 0.9280 - val_loss: 0.2340 - learning_rate: 0.0010\nEpoch 8/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9919 - loss: 0.0326\nEpoch 8: val_accuracy did not improve from 0.92800\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.9919 - loss: 0.0326 - val_accuracy: 0.9200 - val_loss: 0.2808 - learning_rate: 0.0010\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9890 - loss: 0.0353\nEpoch 9: val_accuracy improved from 0.92800 to 0.93067, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 40ms/step - accuracy: 0.9890 - loss: 0.0353 - val_accuracy: 0.9307 - val_loss: 0.2545 - learning_rate: 0.0010\nEpoch 10/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9938 - loss: 0.0213\nEpoch 10: val_accuracy did not improve from 0.93067\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.9938 - loss: 0.0212 - val_accuracy: 0.9307 - val_loss: 0.2436 - learning_rate: 0.0010\nEpoch 11/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9999 - loss: 0.0085\nEpoch 11: val_accuracy improved from 0.93067 to 0.93333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 40ms/step - accuracy: 0.9999 - loss: 0.0085 - val_accuracy: 0.9333 - val_loss: 0.2521 - learning_rate: 0.0010\nEpoch 12/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 0.9995 - loss: 0.0055\nEpoch 12: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 12: val_accuracy did not improve from 0.93333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 0.9995 - loss: 0.0055 - val_accuracy: 0.9307 - val_loss: 0.2581 - learning_rate: 0.0010\nEpoch 13/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 24ms/step - accuracy: 1.0000 - loss: 0.0035\nEpoch 13: val_accuracy did not improve from 0.93333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 29ms/step - accuracy: 1.0000 - loss: 0.0035 - val_accuracy: 0.9333 - val_loss: 0.2489 - learning_rate: 1.0000e-04\nEpoch 14/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0030\nEpoch 14: val_accuracy did not improve from 0.93333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 1.0000 - loss: 0.0030 - val_accuracy: 0.9333 - val_loss: 0.2501 - learning_rate: 1.0000e-04\nEpoch 15/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0027\nEpoch 15: val_accuracy improved from 0.93333 to 0.93467, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 40ms/step - accuracy: 1.0000 - loss: 0.0027 - val_accuracy: 0.9347 - val_loss: 0.2511 - learning_rate: 1.0000e-04\nEpoch 16/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0029\nEpoch 16: val_accuracy did not improve from 0.93467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 1.0000 - loss: 0.0028 - val_accuracy: 0.9347 - val_loss: 0.2522 - learning_rate: 1.0000e-04\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0025\nEpoch 17: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 17: val_accuracy did not improve from 0.93467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 1.0000 - loss: 0.0025 - val_accuracy: 0.9347 - val_loss: 0.2541 - learning_rate: 1.0000e-04\nEpoch 18/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0023\nEpoch 18: val_accuracy did not improve from 0.93467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 1.0000 - loss: 0.0023 - val_accuracy: 0.9347 - val_loss: 0.2541 - learning_rate: 1.0000e-05\nEpoch 19/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0023\nEpoch 19: val_accuracy did not improve from 0.93467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 1.0000 - loss: 0.0023 - val_accuracy: 0.9347 - val_loss: 0.2542 - learning_rate: 1.0000e-05\nEpoch 20/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 23ms/step - accuracy: 1.0000 - loss: 0.0027\nEpoch 20: val_accuracy did not improve from 0.93467\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 1.0000 - loss: 0.0027 - val_accuracy: 0.9333 - val_loss: 0.2542 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:10:33.854483Z","iopub.execute_input":"2024-06-09T09:10:33.854776Z","iopub.status.idle":"2024-06-09T09:10:34.196552Z","shell.execute_reply.started":"2024-06-09T09:10:33.854752Z","shell.execute_reply":"2024-06-09T09:10:34.195682Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:10:34.200785Z","iopub.execute_input":"2024-06-09T09:10:34.201077Z","iopub.status.idle":"2024-06-09T09:10:34.501104Z","shell.execute_reply.started":"2024-06-09T09:10:34.201053Z","shell.execute_reply":"2024-06-09T09:10:34.499949Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"iVBORw0KGgoAAAANSUhEUgAAAkAAAAHHCAYAAABXx+fLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABdQ0lEQVR4nO3deVxUVeMG8GdmgGEHZUdRQM0tRUUdLa1UCpdMzdyyUDQt034ab29FuVVv+baZLaYtolamaKn5pllGLpkLKS6ZSqIoguwKwyLbzPn9MTI6ssjAMHcGnu/ncz86d849nMtIPJ1z7jkyIYQAERERUTMil7oBRERERObGAERERETNDgMQERERNTsMQERERNTsMAARERFRs8MARERERM0OAxARERE1OwxARERE1OwwABEREVGzwwBERERVLF68GDKZDDk5OVI3hahRMAARWbFPP/0UMpkMKpVK6qYQEVkVBiAiK7Zu3ToEBgYiPj4eSUlJUjeHiMhqMAARWank5GQcOHAAS5cuhZeXF9atWyd1k2pUVFQkdRMk0Vzvm8gaMAARWal169ahRYsWGDFiBB577LEaA1BeXh6ef/55BAYGQqlUonXr1oiIiDCY21FSUoLFixfjrrvugr29Pfz8/PDoo4/i/PnzAIA9e/ZAJpNhz549BnVfvHgRMpkMa9as0Z+bOnUqnJ2dcf78eQwfPhwuLi6YPHkyAOD333/HuHHj0KZNGyiVSgQEBOD555/H9evXq7T77NmzGD9+PLy8vODg4ICOHTvi1VdfBQDs3r0bMpkMW7ZsqXLdt99+C5lMhoMHD9b4vVuzZg1kMhn27duHp59+Gh4eHnB1dUVERASuXbtWpfxPP/2EgQMHwsnJCS4uLhgxYgT+/vtvgzK13XdN0tLSMG3aNPj4+ECpVKJr166IiYkxKFP5vY+NjcUrr7wCX19fODk54ZFHHsHly5er1Llp0yaEhobCwcEBnp6eeOKJJ5CWllalXG3f31vl5eVh6tSpcHd3h5ubGyIjI1FcXFzrfRFZAxupG0BE9bNu3To8+uijsLOzw6RJk7BixQr8+eef6NOnj75MYWEhBg4ciDNnzmDatGno1asXcnJysG3bNqSmpsLT0xMajQYPP/ww4uLiMHHiRMydOxcFBQXYtWsXTp06hXbt2hndtoqKCoSHh2PAgAF477334OjoCED3y7m4uBizZs2Ch4cH4uPj8fHHHyM1NRWbNm3SX3/y5EkMHDgQtra2mDlzJgIDA3H+/Hn873//w5tvvokHHngAAQEBWLduHcaMGVPl+9KuXTv079//ju2cM2cO3N3dsXjxYiQmJmLFihW4dOmSPnQAwNdff40pU6YgPDwcb7/9NoqLi7FixQoMGDAAx44dQ2Bg4B3vuzqZmZno168fZDIZ5syZAy8vL/z000+YPn061Go15s2bZ1D+zTffhEwmw0svvYSsrCwsW7YMYWFhOH78OBwcHADogl1kZCT69OmDJUuWIDMzEx9++CH++OMPHDt2DO7u7nX6/t5q/PjxCAoKwpIlS5CQkIAvv/wS3t7eePvtt+/4/SWyaIKIrM6RI0cEALFr1y4hhBBarVa0bt1azJ0716DcwoULBQCxefPmKnVotVohhBAxMTECgFi6dGmNZXbv3i0AiN27dxu8n5ycLACI1atX689NmTJFABAvv/xylfqKi4urnFuyZImQyWTi0qVL+nP33XefcHFxMTh3a3uEECI6OloolUqRl5enP5eVlSVsbGzEokWLqnydW61evVoAEKGhoaKsrEx//p133hEAxA8//CCEEKKgoEC4u7uLGTNmGFyfkZEh3NzcDM7Xdt/VmT59uvDz8xM5OTkG5ydOnCjc3Nz036vK732rVq2EWq3Wl9u4caMAID788EMhhBBlZWXC29tb3H333eL69ev6cj/++KMAIBYuXKg/V5fv76JFiwQAMW3aNIMyY8aMER4eHnW6RyJLxiEwIiu0bt06+Pj4YNCgQQAAmUyGCRMmYMOGDdBoNPpy33//PUJCQqr0klReU1nG09MTzz33XI1l6mPWrFlVzlX2VAC6+TE5OTm45557IITAsWPHAADZ2dnYt28fpk2bhjZt2tTYnoiICJSWluK7777Tn4uNjUVFRQWeeOKJOrVx5syZsLW1NWizjY0NduzYAQDYtWsX8vLyMGnSJOTk5OgPhUIBlUqF3bt31+m+byeEwPfff4+RI0dCCGFQd3h4OPLz85GQkGBwTUREBFxcXPSvH3vsMfj5+enbeuTIEWRlZeHZZ5+Fvb29vtyIESPQqVMnbN++HUDdv7+VnnnmGYPXAwcORG5uLtRq9R3vk8iSMQARWRmNRoMNGzZg0KBBSE5ORlJSEpKSkqBSqZCZmYm4uDh92fPnz+Puu++utb7z58+jY8eOsLEx3Yi4jY0NWrduXeV8SkoKpk6dipYtW8LZ2RleXl64//77AQD5+fkAgAsXLgDAHdvdqVMn9OnTx2Du07p169CvXz+0b9++Tu3s0KGDwWtnZ2f4+fnh4sWLAIBz584BAAYPHgwvLy+D45dffkFWVlad7vt22dnZyMvLw+eff16l3sjISACoUvftbZXJZGjfvr2+rZcuXQIAdOzYscrX69Spk/79un5/K90eklq0aAEA1c6VIrImnANEZGV+++03pKenY8OGDdiwYUOV99etW4eHHnrIpF+zpp6gW3ubbqVUKiGXy6uUffDBB3H16lW89NJL6NSpE5ycnJCWloapU6dCq9Ua3a6IiAjMnTsXqampKC0txaFDh/DJJ58YXU9NKtv09ddfw9fXt8r7t4fG6u67tnqfeOIJTJkypdoy3bt3N7a5jUKhUFR7Xghh5pYQmRYDEJGVWbduHby9vbF8+fIq723evBlbtmzBypUr4eDggHbt2uHUqVO11teuXTscPnwY5eXlBsNBt6r8v/68vDyD85W9CnXx119/4Z9//sHatWsRERGhP79r1y6DcsHBwQBwx3YDwMSJExEVFYX169fj+vXrsLW1xYQJE+rcpnPnzumHEQHdpPH09HQMHz4cAPQTwL29vREWFlbneu/Ey8sLLi4u0Gg0da63sjeqkhACSUlJ+qDUtm1bAEBiYiIGDx5sUDYxMVH/vjHfX6KmjENgRFbk+vXr2Lx5Mx5++GE89thjVY45c+agoKAA27ZtAwCMHTsWJ06cqPZx8cr/gx87dixycnKq7TmpLNO2bVsoFArs27fP4P1PP/20zm2v7Em4tedACIEPP/zQoJyXlxfuu+8+xMTEICUlpdr2VPL09MSwYcPwzTffYN26dRg6dCg8PT3r3KbPP/8c5eXl+tcrVqxARUUFhg0bBgAIDw+Hq6sr3nrrLYNylbKzs+v8tW6lUCgwduxYfP/999UGkerq/eqrr1BQUKB//d133yE9PV3f1t69e8Pb2xsrV65EaWmpvtxPP/2EM2fOYMSIEQCM+/4SNWXsASKyItu2bUNBQQEeeeSRat/v16+fflHECRMm4N///je+++47jBs3DtOmTUNoaCiuXr2Kbdu2YeXKlQgJCUFERAS++uorREVFIT4+HgMHDkRRURF+/fVXPPvssxg1ahTc3Nwwbtw4fPzxx5DJZGjXrh1+/PHHKvNUatOpUye0a9cOL7zwAtLS0uDq6orvv/++2rkkH330EQYMGIBevXph5syZCAoKwsWLF7F9+3YcP37coGxERAQee+wxAMAbb7xR928mgLKyMgwZMgTjx49HYmIiPv30UwwYMED//XV1dcWKFSvw5JNPolevXpg4cSK8vLyQkpKC7du349577633kNt///tf7N69GyqVCjNmzECXLl1w9epVJCQk4Ndff8XVq1cNyrds2RIDBgxAZGQkMjMzsWzZMrRv3x4zZswAANja2uLtt99GZGQk7r//fkyaNEn/GHxgYCCef/55fV3GfH+JmiyJnj4jonoYOXKksLe3F0VFRTWWmTp1qrC1tdU/Xp2bmyvmzJkjWrVqJezs7ETr1q3FlClTDB6/Li4uFq+++qoICgoStra2wtfXVzz22GPi/Pnz+jLZ2dli7NixwtHRUbRo0UI8/fTT4tSpU9U+Bu/k5FRt206fPi3CwsKEs7Oz8PT0FDNmzBAnTpyoUocQQpw6dUqMGTNGuLu7C3t7e9GxY0exYMGCKnWWlpaKFi1aCDc3N4PHv2tT+Rj83r17xcyZM0WLFi2Es7OzmDx5ssjNza1Sfvfu3SI8PFy4ubkJe3t70a5dOzF16lRx5MiROt13TTIzM8Xs2bNFQECA/vs+ZMgQ8fnnnxt8bQBi/fr1Ijo6Wnh7ewsHBwcxYsSIKo+xCyFEbGys6Nmzp1AqlaJly5Zi8uTJIjU1tUq5O31/Kx+Dz87OrvZ7l5ycbNS9ElkamRDs8yQi61VRUQF/f3+MHDkSq1atqtM1lQsG/vnnn+jdu3cjt7Bh9uzZg0GDBmHTpk36ni4iajjOASIiq7Z161ZkZ2cbTKwmIroTzgEiIqt0+PBhnDx5Em+88QZ69uypX0+IiKgu2ANERFZpxYoVmDVrFry9vfHVV19J3RwisjKcA0RERETNDnuAiIiIqNlhACIiIqJmh5Ogq6HVanHlyhW4uLg0aDdsIiIiMh8hBAoKCuDv73/HffkYgKpx5coVBAQESN0MIiIiqofLly+jdevWtZZhAKqGi4sLAN030NXVVeLWEBERUV2o1WoEBATof4/XhgGoGpXDXq6urgxAREREVqYu01c4CZqIiIiaHQYgIiIianYYgIiIiKjZYQAiIiKiZocBiIiIiJodBiAiIiJqdhiAiIiIqNlhACIiIqJmhwGIiIiImh0GICIiImp2JA1A+/btw8iRI+Hv7w+ZTIatW7fe8Zo9e/agV69eUCqVaN++PdasWVOlzPLlyxEYGAh7e3uoVCrEx8ebvvFERERktSQNQEVFRQgJCcHy5cvrVD45ORkjRozAoEGDcPz4ccybNw9PPfUUfv75Z32Z2NhYREVFYdGiRUhISEBISAjCw8ORlZXVWLdBREREVkYmhBBSNwLQbVy2ZcsWjB49usYyL730ErZv345Tp07pz02cOBF5eXnYuXMnAEClUqFPnz745JNPAABarRYBAQF47rnn8PLLL9epLWq1Gm5ubsjPz+dmqERkcYQQ0ApAoxXQCqH/U6sFNLe8rvyTyBK5KG3h5mhr0jqN+f1tVbvBHzx4EGFhYQbnwsPDMW/ePABAWVkZjh49iujoaP37crkcYWFhOHjwYI31lpaWorS0VP9arVabtuFEZDW0WoHMghJcyi3GpdwiXMotRmFphUGo0Ghx8+9CQKs1DB0aAf05/fu3/KnRoppzt71f5dytoUbq7xJRwz37QDu8OLSTZF/fqgJQRkYGfHx8DM75+PhArVbj+vXruHbtGjQaTbVlzp49W2O9S5YswWuvvdYobSYiy1Oh0SI9vwQXc4twMbcYl3KKcOnqzcBTWqGVuokNppDLIJfpetdlUjeGqBo2cmn/ZVpVAGos0dHRiIqK0r9Wq9UICAiQsEVE1FClFRqkXruOS7lFuJhTjJSrxbh4I+BcvlqMilq6URRyGVq3cEBbDye0bemIFo62kMtlUMhkuj9v/bvsRtgwOCczOKeQA/Iq52T6c5Xvy2s4b3julr/LZJDLUc05Rh6iO7GqAOTr64vMzEyDc5mZmXB1dYWDgwMUCgUUCkW1ZXx9fWusV6lUQqlUNkqbiahxpV4rxqk0ta735kYvzsWcYlzJv47apr/Y2cjRpqUjAj0cdUHnxp+BHo7wd3eArYKrhBA1ZVYVgPr3748dO3YYnNu1axf69+8PALCzs0NoaCji4uL0k6m1Wi3i4uIwZ84cczeXiBpB/vVyHDyfg/1JOfgjKRfJOUU1lnW0U+hDzc2Q44hADyf4utqzp4SoGZM0ABUWFiIpKUn/Ojk5GcePH0fLli3Rpk0bREdHIy0tDV999RUA4JlnnsEnn3yCF198EdOmTcNvv/2GjRs3Yvv27fo6oqKiMGXKFPTu3Rt9+/bFsmXLUFRUhMjISLPfHxE1XGmFBgmX8vBHUg5+T8rBX6l5BpOAFXIZOvu5INjTGYEejmhzS+DxdLaDTMaQQ0RVSRqAjhw5gkGDBulfV87DmTJlCtasWYP09HSkpKTo3w8KCsL27dvx/PPP48MPP0Tr1q3x5ZdfIjw8XF9mwoQJyM7OxsKFC5GRkYEePXpg586dVSZGE5FlEkLgbEYB9p/T9fLEJ1/F9XKNQZl2Xk4Y0N4TAzp4QRXcEq72pn2UloiaPotZB8iScB0gam6uFZXB1kYOJzuFJD0m6fnX8fu5HPyRpDtyCssM3vd0tsO97T0xoL0n7m3vCX93B7O3kYgsX5NdB4iIGk4IgdRr13HoQi7ik6/icPJVpFwtBgA42Crg5aKEl4sSns52ur8721c55+mshL2tot5tUJeU49D5XP2w1oVsw3k8DrYKqIJb3ujl8URHHxcOZRGRSTEAETVxQghcyCnC4QtXEZ+sCz1X8kuqLXu9XIOUq8X6QFQbV3sbeLoo4eWs1AekynDkdeO8t4sSLZ3soBXA8ct52H8uG/uTcnAiNR+aWybyyGVA99bu+sDTs407lDb1D1hERHfCAETUxGi1Av9kFdwIPLoenpzCUoMyNnIZurd2Q98gD6iCWyK0bQsoZDLkFJYiu6BU/2d2QSmyK/9eWIacG+fKNFqoSyqgLqmo0ntzO5kMsJXLUaYxXFwwyNMJ97b3wID2Xugf7GHyJfGJiGrDAERk5So0WpxJL8Dh5FwcTr6KPy9eRV5xuUEZOxs5ega4QxXUEqpgD/Rs4w5Hu6o//k5KG7T1cKr16wkhoL5egezCEmQVlCKnsOxmWLoRmHJu/JlbWAqtAMo0WrR0qpzH44F723uidQtHk34fiIiMwQBEZGXKKrT4Ky0fh28MZx25eA2FpRUGZRztFAht2wKqoJboG+SB7q3dGjRn51YymQxujrpNDNt7u9RaVqMVuFpUhuKyCgS0cOS6O0RkMRiAiCycEALHLufh939yEH8xFwmX8qo8Fu5ib4M+gS1vBJ6WuLuVm0WsZKyQy+DlogTAldaJyLIwABFZqKyCEmxJSMPGI5dx/rZ5Ni0cbdE3qCVUQR7oG9QSnf1coWDvChFRnTEAEVmQco0Wu89mYeORVOxOzNI/KeVgq8DgTt7o184DqqCWaO/lzOEkIqIGYAAisgBJWQXYdCQV3yekGTyx1auNO8b3DsCI7n5w4WrHREQmwwBEJJHC0gr8eOIKNh65jISUPP15T2c7PNqrNcb3bn3HScZERFQ/DEBEZiSEwJ8Xr2HjkcvYfjJdP5lZIZdhUEdvjO/dGoM6eVvEBGYioqaMAYjIDDLyS/B9Qio2HbmMi7k3V1kO9nLC+N4BeLRXK3i72EvYQiKi5oUBiKiRlFVo8dvZTGw8koo9iVmo3PnByU6Bh7v7Y3yf1ujVpgX3uCIikgADEJGJJWYUYOORy9hyLA1Xi27uat4nsAXG9Q7AiG5+cFLyR4+ISEr8rzCRCRSUlGPbiSvYeCQVJy7n6c97uygxNrQ1xoW2RrCXs3QNJCIiAwxARA1wtagMq/9IxpoDF1FQotuOwkYuw5DO3hjfOwD33+UFG05oJiKyOAxARPWQnn8dX+xLxvr4FP2TXMGeTpjUtw3G9GoFT2du/UBEZMkYgIiMkJxThM/2nsf3Cako1+hmNXdr5YbZg9rhoS6+XJ2ZiMhKMAAR1cGZdDU+3XMe209e0T/NpQpqidmD2mNgB08+yUVEZGUYgIhqcfTSNXy6OwlxZ7P05wZ38sazD7RD78CWEraMiIgaggGI6DZCCOxPysHy3Uk4dOEqAEAmA0Z088OsB9qhq7+bxC0kIqKGYgAiukGrFfjldCY+3ZOEk6n5AABbhQyP9myNp+8P5mPsRERNCAMQNXvlGi3+d+IKPt1zHklZhQAAe1s5JvVtgxkDg+Hv7iBxC4mIyNQYgKjZKinXYNPRVHy29zxSr10HALjY22BK/0BE3hsIDz7KTkTUZDEAUbNTWFqBdYcu4cv9ycguKAUAeDjZYfrAIDzRry1c7W0lbiERETU2BiBqNq4VlWH1gYtY80cy1DdWbfZ3s8fT97fD+N4BcLBTSNxCIiIyFwYgaha2HkvDK1v+QnHZzVWbZz3QDqN6tIKdDbeqICJqbhiAqMnb+OdlvLT5JIQAuvq7Yvag9gjv6gsFV20mImq2GICoSfvm0CXM33oKAPBkv7Z47ZGu3K6CiIgYgKjpWv1HMl7732kAQOS9gVj4cBduWUFERAAYgKiJ+mLfBby54wwA4On7gvHysE4MP0REpMcARE3O8t1JePfnRADAnEHt8a+H7mL4ISIiAwxA1GQIIfBh3Dks+/UcACDqwbvwf0M6SNwqIiKyRAxA1CQIIfDeL4lYvvs8AODFoR3x7APtJW4VERFZKgYgsnpCCCz56Sw+33cBADB/RGc8NTBY4lYREZElYwAiqyaEwGv/O401By4CAF57pCum3BMoaZuIiMjyMQCR1dJqBRZuO4VvDqUAAN4cczcmq9pK3CoiIrIGku8BsHz5cgQGBsLe3h4qlQrx8fE1li0vL8frr7+Odu3awd7eHiEhIdi5c6dBmcWLF0MmkxkcnTp1auzbIDPTagWiN/+Fbw6lQCYD3nmsO8MPERHVmaQBKDY2FlFRUVi0aBESEhIQEhKC8PBwZGVlVVt+/vz5+Oyzz/Dxxx/j9OnTeOaZZzBmzBgcO3bMoFzXrl2Rnp6uP/bv32+O2yEz0WgFXvjuBGKPXIZcBiwdH4LxvQOkbhYREVkRSQPQ0qVLMWPGDERGRqJLly5YuXIlHB0dERMTU235r7/+Gq+88gqGDx+O4OBgzJo1C8OHD8f7779vUM7Gxga+vr76w9PT0xy3Q2ZQodHi+djj2JyQBoVchg8n9sSYnq2lbhYREVkZyQJQWVkZjh49irCwsJuNkcsRFhaGgwcPVntNaWkp7O3tDc45ODhU6eE5d+4c/P39ERwcjMmTJyMlJaXWtpSWlkKtVhscZHnKNVo8t/4Ytp24Ahu5DMsf74mRIf5SN4uIiKyQZAEoJycHGo0GPj4+Bud9fHyQkZFR7TXh4eFYunQpzp07B61Wi127dmHz5s1IT0/Xl1GpVFizZg127tyJFStWIDk5GQMHDkRBQUGNbVmyZAnc3Nz0R0AAh1MsTWmFBs+uS8BPpzJgp5Bj5ROhGHq3n9TNIiIiKyX5JGhjfPjhh+jQoQM6deoEOzs7zJkzB5GRkZDLb97GsGHDMG7cOHTv3h3h4eHYsWMH8vLysHHjxhrrjY6ORn5+vv64fPmyOW6H6qikXINnvj6KXaczYWcjx+cRoQjr4nPnC4mIiGogWQDy9PSEQqFAZmamwfnMzEz4+vpWe42Xlxe2bt2KoqIiXLp0CWfPnoWzszOCg2te9M7d3R133XUXkpKSaiyjVCrh6upqcJBluF6mwYyvjmB3YjbsbeWImdIHD3T0lrpZRERk5SQLQHZ2dggNDUVcXJz+nFarRVxcHPr371/rtfb29mjVqhUqKirw/fffY9SoUTWWLSwsxPnz5+Hnx+ESa1NcVoFpa/7E7+dy4GinwJrIvhjQgRPaiYio4SQdAouKisIXX3yBtWvX4syZM5g1axaKiooQGRkJAIiIiEB0dLS+/OHDh7F582ZcuHABv//+O4YOHQqtVosXX3xRX+aFF17A3r17cfHiRRw4cABjxoyBQqHApEmTzH5/VH+FpRWYGvMnDl7IhbPSBl9N64t+wR5SN4uIiJoISVeCnjBhArKzs7Fw4UJkZGSgR48e2Llzp35idEpKisH8npKSEsyfPx8XLlyAs7Mzhg8fjq+//hru7u76MqmpqZg0aRJyc3Ph5eWFAQMG4NChQ/Dy8jL37VE9qUvKMSUmHsdS8uBib4O10/qiV5sWUjeLiIiaEJkQQkjdCEujVqvh5uaG/Px8zgcys/zicjwZcxgnU/Ph5mCLb6ar0K21m9TNIiIiK2DM72/uBUYW42pRGZ748jBOp6vR0skO30xXoYs/AygREZkeAxBZhOyCUjy56jDOZhTA09kO657qh46+LlI3i4iImigGIJLc5avFeHLVYVzMLYa3ixLfzuiH9t7OUjeLiIiaMAYgktS5zAI8seowMtWlaN3CAd9MVyHQ00nqZhERURPHAESSOXE5D1NWxyOvuBwdvJ3x9XQVfN3s73whERFRAzEAkSQOnM/BjLVHUFSmQUiAO9ZM7YMWTnZSN4uIiJoJBiAyu5//zsBz64+hrEKLe9t74LMne8NZyX+KRHSbijJAWyF1K5ovG3tAblVbhhqFv3XIrL47mooXvzsBrQDCu/rgo0k9obRRSN0sIjIVIYCyIqC04JZDbfi6rOC292sopymT+m7IzhlQulRzuFbznuttr51vnrNRSn0nVTAAkdnE7E/G6z+eBgA8Ftoa/320G2wUTff/LsiKCAGU5AHqK7cdaUBBOiC3BVz9bztaAS5+uv/IS62iTNfOW9tc+ffiq7r7ayya0huBpfBmiAHX120yygp1R0F6w+pR2BmGIzsXoPs4oPc007SzHhiAqNEJIfDBr+fwUdw5AMBTA4LwyvDOkMtlEreMmgWtFijO0YWB6gKO+oruP+7lxfWr394NcLktGLn63fjzxjl7d0BWz3/vZUWAOv2WtlbT/qLs+tXdmGSKGnoF7nTcUt7OGVDYSn0nzZMQQEVJ1V65Kj11hdX33lUe5UW6+jRlQHGu7qgUeK8093YDAxA1Kq1W4LX//Y21By8BAF546C7MHtQesvr+MiDro9UAuUmNO5ejrKhqKNCHhXRAW163ehw9qg8zmvLqQ1OpGijJ1x3ZZ2qu19ZR11ukr/OWr+HsA1zPu6XnJs3wa5Xk163tCjvD+l1uhDAnT0DeiMPMclvA3vXm/9VXhhdbh/qHPrIMSmfdv5+G0GpuGfq8LSx5dDBNO+uJAYgaTblGi39vOoGtx69AJgNef6QrnuwfKHWzyFxK1MCxb4D4z4BrFyVujAxw8a0mhFT21twIDLYOxlVbor4ltKRXH8CKc3W9S1fP6476sHO+LZTdEnAqzzm2ZOAgyyNXAA7uusPCMABRoygp12D2ugTEnc2CjVyG98eHYFSPVlI3i8wh9zxw+DPg+Drd//EBuh4Qu0acK2NrX03PzW29LI0xlGLvqju8OtZcpvz6LXNybu3hufFnYRbg0OJmEKsu4NhzTzwiU2MAIpNTl5TjqbVHEJ98FUobOVY80QuDO/lI3SzrVVoIHPta94u004jaf9lKRQjgwm7g0Erg3C/QT4L16gSonga6TwDsmukK37YOQMtg3UFEFoMBiEwqt7AUU1bH41SaGi5KG6ya2gd9g1pK3SzrpCkHjq4B9r59c5Jr3Gu6UNH5EaDLI4DP3dIOe5QVAydjgcMrgeyzN893CAf6PQMED+KwDBFZJAYgMpm0vOt4ctVhXMgugoeTHdZO64u7W7lJ3SzrIwRw+gcg7vWbc0ZaBAEe7YALe3VBI/sssO8dXa9CZRjy72W+sJGfCsR/ASSsBa5f052zcwZ6PA70fRrwbG+edhAR1ZNMiMZcIMI6qdVquLm5IT8/H66uHHuvi/PZhXjyy8O4kl+CVu4O+Hp6XwR7WcD6KNbm4h/AroVA2hHda0dP4P6XgNCpgI2d7mmhf37WBaSkX3VrsFRyC7gZhlr3Nf0KrkIAlw8Dh1YAZ/4HCI3uvHtb3TBXzyd0j4QTEUnEmN/fDEDVYAAyzqm0fEyJiUduURnaeTnh6+kq+Lsb+TRNc5d5Wje89c9O3WtbR6D/HOCe52qeAFtaqJtvc/oH4Nyum+ttAICzL9B5pC4MtbkHUDSgs7eiFPh7iy74pB+/eT5wINBvFnDX0MZ9zJqIqI4YgBqIAajuDl/IxfS1R1BYWoFurdywJrIPPJwtb8lzi5WfBux+CzjxLSC0usXjQqcA978MuBgxcbz8OpAUB5zZBiT+dGM13hscPYBOD+vCUND9dX8aqjALOBID/LkKKMrSnVModau3qmYBvnfXvX1ERGbAANRADEB189vZTMz6JgGlFVqoglriyym94WLPVVvr5HoesP8D3eThihLduc4jgSGLAM8GLg5WUaqbK3TmB+Ds9ptzdADdEFXHEbowFDxI9/j47a4c17Xr1Pc392Jy8QP6TAdCIxu+MBoRUSNhAGogBqA723osDS9sOoEKrUBYZ2988ngv2NtyGOSOKkp1k4d/f+9mMGnTH3jwdSCgr+m/nqYcuLhf1zN05sebPTmAbtXeu8JvhqHKx9hTDtws06q3bpiryyhuSUBEFo8BqIEYgGr31cGLWPjD3wCAMT1b4Z3HusOWm5rWTqsF/toE/PYfID9Fd86rExC2WDeHxhxPb2k1QMqhG2Hof7qF+KojtwG6jNYFn9a9G79dREQmwgDUQAxA1RNC4JPfkvD+rn8AAFPvCcTCh7twU9M7SYoDfl0EZPyle+3iBwx6BQh5vGGTkxtCqwWuJACntwKntwF5lwCHlkDvSKDPU7rVh4mIrAwDUAMxAFV1vUyDJT+dwVc3NjWdO6QD5oV14KamtblyXBd8LuzRvVa6AgPm6SYQ2zlK2LDbCAHkXwacvKufE0REZCWM+f3NhRDpjn47m4mFP/yN1GvXAQALH+6CaQOCJG5VPQhhnqGmaxeBuDeAU9/pXsttgb4zgIEvAE4ejf/1jSWTAe5tpG4FEZFZMQBRjdLzr+O1baex8+8MAIC/mz3eGH03hnS2sn29tFrddhJ/fAhA6FYsVrrcOFxv+btLNedrKGvrWDVMFeUC+94F/vwS0JbrznUbDwx+FWgRaO67JiKiWjAAURUVGi3WHLiID3b9g6IyDRRyGZ4aEIT/G9IBTkor+ydTWgBsfhpI3H7zXEUJUJzTsHpl8qqhKOvMzfV3ggcBD74G+IU07OsQEVGjsLLfZlSrvBTdfBPvroBvN93WCUZKSLmGV7ecwpl03S/y3m1b4D9j7kYnXyucC3X1ArD+cSD7jG4Bv4eXAkH36UJRaeGNP9U3/rz1uHGurLD680KrO0rydcetfLvrgk+7wdLcMxER1QkDUFNx/RqwZoQuBAG6X/h+3YHWfYBWobo/3dvUOAcmr7gMb+9MxIY/UyAE4O5oi+hhnTAuNMA6n/I6vxvYNBUoydNtCzFxnWke6RYCKC+uJjQVAHZOupWWTb0HFxERmRwDUFOg1QJbntGFH4eWAIQuEKX+qTsqOXnrQkDr3roF7lr1grBzxpZjaXhz+xnkFulW/R0X2hrRwzujpZPxPUiSE0K3Z9Uvr+p6aVr1BiZ8A7j6maZ+mUwXdOycABdf09RJRERmxwDUFPyxTLeJpkIJRGzVDcNcvQCkHtHtKp76p24NmqIsIHGH7gAgIMNlm7YoLQlCmGiPqx7d8dSYoVC195b0duqtvAT48XndvlqAbp2dhz/go91ERFQF1wGqhlWtA5S8D/hqlK63Y+RHuo00q1N+HUg/CaQdgSYlHkXnD8G1LKNqOTsXoFVPXc9J6z663iJnKwhE6nQg9gld4JMpgPA3AdUz5nnsnYiILALXAWou1OnAd9N04SfkcaBXRM1lbR2ANirsvh6ERb93QYp6PLxwDVMCchDRJhuuuSeAtASgrEAXqpL33bzWvc2NuUS9gXaDAO/OjX9vxkg9AmyYDBRmAPbuwLg1unYSERHVgAHIWmnKge8igaJswOduYMT7tfZ2ZOSX4PUf/8aOv3S9Pn5u9lj8SBge6uJzczVnrUb3KHfqnzeGzo4A2Ym6uUV5KbrdwQHd3lX3vQi0Dm3su7yz4+uB/80FNKWAV2dg0rdAy2CpW0VERBaOQ2DVsIohsF/mAwc+1g1ZPb0X8GhXbbEKjRZfHbyE939J1K/pM+3eQMwLu6tua/qU5Ot6htKO6DbSPP+brscJ0D3qfd+LQNv+JryxOtJUALsWAoeW6153HAE8+pluPR4iImqWOATW1J35ny78AMDoT2sMP8durOlz+saaPr3auOPNMd3Q2c+IUGfvphtOqhxSykkCfn8fOBmrC0PnfwMCBwL3/Vu3xo455twUX9UN/V3YrXt9/0vA/S/z8XMiIqoz9gBVw6J7gHLPA58/oFuUr/8c3WTf2+RfL8e7P5/FusO6NX3cHGzx8rBOmNDbhGv6XE0G9n8AHP/25rYPASpdj1D7IY0XhLLOAOsnAdeSAVsnYMwKoMuoxvlaRERkVYz5/S35/zIvX74cgYGBsLe3h0qlQnx8fI1ly8vL8frrr6Ndu3awt7dHSEgIdu7c2aA6rUr5dWDjFF34CegHhC02eFsIga3H0jDk/T345pAu/DzaqxXi/nU/JvVtY9oFDVsGAY98BPzfMaDPDN0j+JcPA+vGAl8MAs7u0K3JY0pntwNfhunCj3sbYPovDD9ERFQvkgag2NhYREVFYdGiRUhISEBISAjCw8ORlZVVbfn58+fjs88+w8cff4zTp0/jmWeewZgxY3Ds2LF612lVdrwAZP4FOHkB41YDCluDt5fvTsK82OPIKSxDOy8nrJ/RD0vH94Cns7Lx2uQeAIx4D5h3Eug3G7BxAK4cAzZMAlYOBP7eqluosSGEAPa+C2x4XLc9ReBAYMYewPduU9wBERE1Q5IOgalUKvTp0weffPIJAECr1SIgIADPPfccXn755Srl/f398eqrr2L27Nn6c2PHjoWDgwO++eabetVZHYscAkv4Gtg2R7cJ55NbgeD7qxR55JP9OJmaj8h7AxE9rDPsbCTIt4XZwMFPdDuilxXqznl1Aga+ANz9KCBXGFdfaSHww7PA6R90r/vOBMLfqhL+iIiIrGIIrKysDEePHkVYWNjNxsjlCAsLw8GDB6u9prS0FPb2hqv6Ojg4YP/+/fWus7JetVptcFiU9JO63h8AGPRqteEHALLUpQCAMT1bSRN+AMDZS7cZ6Ly/dPOBlG5A9llg81PAJ32AY+t0j/DXxbVLQEy4LvzIbXULPQ5/l+GHiIgaTLIAlJOTA41GAx8fH4PzPj4+yMioZoViAOHh4Vi6dCnOnTsHrVaLXbt2YfPmzUhPT693nQCwZMkSuLm56Y+AgIAG3p0JXc8DNkYAFSVAh3BgQFS1xbRagexCXQDydrGArR8cWwKDXwWe/wsYNB9waAFcPa/rzfm4F3BkNVBRWvP1yb/rJntnntLtYTZ1e82rXBMRERlJ8knQxvjwww/RoUMHdOrUCXZ2dpgzZw4iIyMhb+Djz9HR0cjPz9cfly9fNlGLG0gI4IfZukm/bm2AMStrfNQ7t6gMGq2ATAZ4OlvQJqb2bsD9/9b1CIW9ppu/lJcC/DgP+KgncPhz3R5elYQA4r/Qbe9x/Srg1wOYuQdoo5LoBoiIqCmSLAB5enpCoVAgMzPT4HxmZiZ8favfZdvLywtbt25FUVERLl26hLNnz8LZ2RnBwcH1rhMAlEolXF1dDQ6LcOAj4OyPgMIOGL9W16tSg6wCXYjwcLKDjcICc63SBRgwD5h7EghfAjj7Auo04Kd/Ax92Bw58otvB/n9zdcN9QgN0Gw9M2wm4tZK69URE1MRI9pvSzs4OoaGhiIuL05/TarWIi4tD//61ryxsb2+PVq1aoaKiAt9//z1GjRrV4DotzsU/gF9f0/196H+BVr1qLZ5VoBtO8rKE4a/a2DkC/Z8F5p7Qbd/h2hoozAR+eRV4tz2QsFY30fvBN4BHP9ftYUZERGRikq4EHRUVhSlTpqB3797o27cvli1bhqKiIkRGRgIAIiIi0KpVKyxZsgQAcPjwYaSlpaFHjx5IS0vD4sWLodVq8eKLL9a5TqtQkKnb50togO4TgN7T7nhJtrpy/k8jPvJuSrb2QJ+ngJ4RwIn1wP6lwLWLuknTj8UAHcLuWAUREVF9SRqAJkyYgOzsbCxcuBAZGRno0aMHdu7cqZ/EnJKSYjC/p6SkBPPnz8eFCxfg7OyM4cOH4+uvv4a7u3ud67R4mgrdNg+FmbrNPR/+oE6rKlcOgVlNAKpkY6eb3Nxjsm5bDZ8ugFtrqVtFRERNHLfCqIak6wD9uli3xYSds27yr2eHOl228IdT+OrgJcwe1A7/Du/UqE0kIiKyRFaxDhBV4+wOXfgBgEc+rnP4AW6uAWQRj8ATERFZOAYgS3E1GdjyjO7vqmd0qyYboXIIzMfVyobAiIiIJMAAZAnKS3SLHZbmA6376p6AMlKm2kqeAiMiIrIADECW4KcXgYyTgKOHbpNTG+MWMhRCILvAyp4CIyIikhADkNSOf6tb+wYyYOyX9XoCKv96Oco0uh3XvRiAiIiI7ogBSEqZfwM/3tjb64FooN3gelVTuQiim4Mt7G2N3G2diIioGWIAkkpJPhD7JFBxHWg3BLjv3/WuKsvaFkEkIiKSGAOQFIQAfpij2x3dtTXw6Bc1bnJaF/pFEPkEGBERUZ0wAEnh0KfAmW2A3Fa3yamTR4OqyyrgGkBERETGYAAyt5RDwK6Fur+HvwW07t3gKjkERkREZBwGIHMqzAY2TQW0FcDdY4G+M0xS7c0hMPYAERER1QUDkDn9HA0UpAOeHYGRH9Vpk9O6YA8QERGRcSTdDb7ZCX8LKC0EwhYDSmeTVWu1O8ETERFJhAHInJy9gcc3mLxa/SRoDoERERHVCYfArFxhaQWKyzQA2ANERERUVwxAVi5LrRv+crJTwEnJDj0iIqK6YACychz+IiIiMh4DkJWrDEDcBJWIiKjuGICsXOUQGOf/EBER1R0DkJXLvtED5MMhMCIiojpjALJymewBIiIiMhoDkJW7OQmaAYiIiKiuGICsHHeCJyIiMh4DkJXjJGgiIiLjMQBZsZJyDdQlFQDYA0RERGQMBiArVvkEmJ2NHK4OXAWaiIiorhiArNitu8DLZDKJW0NERGQ9GICsWJaaawARERHVBwOQFbv5BBgnQBMRERmDAciKcRFEIiKi+mEAsmLcCZ6IiKh+GICsGHeCJyIiqh8GICvGRRCJiIjqhwHIimVzGwwiIqJ6YQCyUuUaLXKLygBwI1QiIiJjMQBZqZxCXe+PjVyGlo52EreGiIjIuhgdgAIDA/H6668jJSWlMdpDdVS5CKKXixJyOVeBJiIiMobRAWjevHnYvHkzgoOD8eCDD2LDhg0oLS2tdwOWL1+OwMBA2NvbQ6VSIT4+vtbyy5YtQ8eOHeHg4ICAgAA8//zzKCkp0b+/ePFiyGQyg6NTp071bp+l4hpARERE9VevAHT8+HHEx8ejc+fOeO655+Dn54c5c+YgISHBqLpiY2MRFRWFRYsWISEhASEhIQgPD0dWVla15b/99lu8/PLLWLRoEc6cOYNVq1YhNjYWr7zyikG5rl27Ij09XX/s37/f2Nu0eDcfgecEaCIiImPVew5Qr1698NFHH+HKlStYtGgRvvzyS/Tp0wc9evRATEwMhBB3rGPp0qWYMWMGIiMj0aVLF6xcuRKOjo6IiYmptvyBAwdw77334vHHH0dgYCAeeughTJo0qUqvkY2NDXx9ffWHp6dnfW/TYt1cBJE9QERERMaqdwAqLy/Hxo0b8cgjj+Bf//oXevfujS+//BJjx47FK6+8gsmTJ9d6fVlZGY4ePYqwsLCbjZHLERYWhoMHD1Z7zT333IOjR4/qA8+FCxewY8cODB8+3KDcuXPn4O/vj+DgYEyePLlJzlfKLuAQGBERUX3ZGHtBQkICVq9ejfXr10MulyMiIgIffPCBwTybMWPGoE+fPrXWk5OTA41GAx8fH4PzPj4+OHv2bLXXPP7448jJycGAAQMghEBFRQWeeeYZgyEwlUqFNWvWoGPHjkhPT8drr72GgQMH4tSpU3Bxcam23tLSUoN5TGq1+o7fB6lVToLmGkBERETGM7oHqE+fPjh37hxWrFiBtLQ0vPfee1UmGQcFBWHixIkma2SlPXv24K233sKnn36KhIQEbN68Gdu3b8cbb7yhLzNs2DCMGzcO3bt3R3h4OHbs2IG8vDxs3LixxnqXLFkCNzc3/REQEGDytpsad4InIiKqP6N7gC5cuIC2bdvWWsbJyQmrV6+utYynpycUCgUyMzMNzmdmZsLX17faaxYsWIAnn3wSTz31FACgW7duKCoqwsyZM/Hqq69CLq+a59zd3XHXXXchKSmpxrZER0cjKipK/1qtVlt8CMqqHALjHCAiIiKjGd0DlJWVhcOHD1c5f/jwYRw5cqTO9djZ2SE0NBRxcXH6c1qtFnFxcejfv3+11xQXF1cJOQqFAgBqnHRdWFiI8+fPw8/Pr8a2KJVKuLq6GhyWTKMVyCm8sQo0h8CIiIiMZnQAmj17Ni5fvlzlfFpaGmbPnm1UXVFRUfjiiy+wdu1anDlzBrNmzUJRUREiIyMBABEREYiOjtaXHzlyJFasWIENGzYgOTkZu3btwoIFCzBy5Eh9EHrhhRewd+9eXLx4EQcOHMCYMWOgUCgwadIkY2/VYl0tKoNGKyCTAZ7OXAWaiIjIWEYPgZ0+fRq9evWqcr5nz544ffq0UXVNmDAB2dnZWLhwITIyMtCjRw/s3LlTPzE6JSXFoMdn/vz5kMlkmD9/PtLS0uDl5YWRI0fizTff1JdJTU3FpEmTkJubCy8vLwwYMACHDh2Cl5eXsbdqsSoXQfRwUsJGwd1MiIiIjCUTdVmw5xYeHh748ccfqwxTHThwACNGjMC1a9dM2kApqNVquLm5IT8/3yKHw3afzULkmj/Rxc8VO+YOlLo5REREFsGY399Gdx889NBDiI6ORn5+vv5cXl4eXnnlFTz44IPGt5aMxgnQREREDWP0ENh7772H++67D23btkXPnj0BAMePH4ePjw++/vprkzeQqrq5BhADEBERUX0YHYBatWqFkydPYt26dThx4gQcHBwQGRmJSZMmwdbWtjHaSLe5uQYQnwAjIiKqD6MDEKBb52fmzJmmbgvVEYfAiIiIGqZeAQjQPQ2WkpKCsrIyg/OPPPJIgxtFteMq0ERERA1Tr5Wgx4wZg7/++gsymUy/AKFMJgMAaDQa07aQqqicA+TFITAiIqJ6MfopsLlz5yIoKAhZWVlwdHTE33//jX379qF3797Ys2dPIzSRbiWEQPaNHiAfDoERERHVi9E9QAcPHsRvv/0GT09PyOVyyOVyDBgwAEuWLMH//d//4dixY43RTrohr7gcZRotAMCLQ2BERET1YnQPkEajgYuLCwDdhqZXrlwBALRt2xaJiYmmbR1VUTn/x93RFkobhcStISIisk5G9wDdfffdOHHiBIKCgqBSqfDOO+/Azs4On3/+OYKDgxujjXQL/RNg7P0hIiKqN6MD0Pz581FUVAQAeP311/Hwww9j4MCB8PDwQGxsrMkbSIZuLoLICdBERET1ZXQACg8P1/+9ffv2OHv2LK5evYoWLVronwSjxsNH4ImIiBrOqDlA5eXlsLGxwalTpwzOt2zZkuHHTCqHwLz4BBgREVG9GRWAbG1t0aZNG671IyFug0FERNRwRj8F9uqrr+KVV17B1atXG6M9dAfZ3AiViIiowYyeA/TJJ58gKSkJ/v7+aNu2LZycnAzeT0hIMFnjqKrMG0NgPq7sASIiIqovowPQ6NGjG6EZVBdCiFueAmMPEBERUX0ZHYAWLVrUGO2gOigsrcD1ct38K+4ET0REVH9GzwEi6VROgHZW2sDRzujsSkRERDcY/VtULpfX+sg7nxBrPBz+IiIiMg2jA9CWLVsMXpeXl+PYsWNYu3YtXnvtNZM1jKrSrwHEAERERNQgRgegUaNGVTn32GOPoWvXroiNjcX06dNN0jCqKrtyDSA+AUZERNQgJpsD1K9fP8TFxZmqOqoGt8EgIiIyDZMEoOvXr+Ojjz5Cq1atTFEd1SBLXbkGEAMQERFRQxg9BHb7pqdCCBQUFMDR0RHffPONSRtHhjK5EzwREZFJGB2APvjgA4MAJJfL4eXlBZVKhRYtWpi0cWSochI0h8CIiIgaxugANHXq1EZoBtWFfg4Qh8CIiIgaxOg5QKtXr8amTZuqnN+0aRPWrl1rkkZRVSXlGhSUVAAAvDgERkRE1CBGB6AlS5bA09Ozynlvb2+89dZbJmkUVVW5CKLSRg5Xe64CTURE1BBGB6CUlBQEBQVVOd+2bVukpKSYpFFUlX7+j6uy1pW4iYiI6M6MDkDe3t44efJklfMnTpyAh4eHSRpFVd1cA4jDX0RERA1ldACaNGkS/u///g+7d++GRqOBRqPBb7/9hrlz52LixImN0UbCzTWA+AQYERFRwxk9meSNN97AxYsXMWTIENjY6C7XarWIiIjgHKBGVNkD5MNtMIiIiBrM6ABkZ2eH2NhY/Oc//8Hx48fh4OCAbt26oW3bto3RPrqhchFEboRKRETUcPV+nKhDhw7o0KGDKdtCteAiiERERKZj9BygsWPH4u23365y/p133sG4ceNM0iiqijvBExERmY7RAWjfvn0YPnx4lfPDhg3Dvn37TNIoqoo7wRMREZmO0QGosLAQdnZ2Vc7b2tpCrVabpFFkqKxCi6tFZQAYgIiIiEzB6ADUrVs3xMbGVjm/YcMGdOnSxegGLF++HIGBgbC3t4dKpUJ8fHyt5ZctW4aOHTvCwcEBAQEBeP7551FSUtKgOi1dTqGu98dGLkMLx6rhk4iIiIxj9CToBQsW4NFHH8X58+cxePBgAEBcXBy+/fZbfPfdd0bVFRsbi6ioKKxcuRIqlQrLli1DeHg4EhMT4e3tXaX8t99+i5dffhkxMTG455578M8//2Dq1KmQyWRYunRpveq0BpXDX14uSsjlXAWaiIiooYzuARo5ciS2bt2KpKQkPPvss/jXv/6FtLQ0/Pbbb2jfvr1RdS1duhQzZsxAZGQkunTpgpUrV8LR0RExMTHVlj9w4ADuvfdePP744wgMDMRDDz2ESZMmGfTwGFunNeAiiERERKZldAACgBEjRuCPP/5AUVERLly4gPHjx+OFF15ASEhInesoKyvD0aNHERYWdrMxcjnCwsJw8ODBaq+55557cPToUX3guXDhAnbs2KGflF2fOgGgtLQUarXa4LAkWXwCjIiIyKTqFYAA3dNgU6ZMgb+/P95//30MHjwYhw4dqvP1OTk50Gg08PHxMTjv4+ODjIyMaq95/PHH8frrr2PAgAGwtbVFu3bt8MADD+CVV16pd52Abod7Nzc3/REQEFDn+zAH9gARERGZllEBKCMjA//973/RoUMHjBs3Dq6urigtLcXWrVvx3//+F3369GmsdgIA9uzZg7feeguffvopEhISsHnzZmzfvh1vvPFGg+qNjo5Gfn6+/rh8+bKJWmwa3AiViIjItOo8CXrkyJHYt28fRowYgWXLlmHo0KFQKBRYuXJlvb6wp6cnFAoFMjMzDc5nZmbC19e32msWLFiAJ598Ek899RQA3RNpRUVFmDlzJl599dV61QkASqUSSqXl9q7cHAKz3DYSERFZkzr3AP3000+YPn06XnvtNYwYMQIKhaJBX9jOzg6hoaGIi4vTn9NqtYiLi0P//v2rvaa4uBhyuWGTK9shhKhXndaA22AQERGZVp0D0P79+1FQUIDQ0FCoVCp88sknyMnJadAXj4qKwhdffIG1a9fizJkzmDVrFoqKihAZGQkAiIiIQHR0tL78yJEjsWLFCmzYsAHJycnYtWsXFixYgJEjR+qD0J3qtEZZag6BERERmVKdh8D69euHfv36YdmyZYiNjUVMTAyioqKg1Wqxa9cuBAQEwMXFxagvPmHCBGRnZ2PhwoXIyMhAjx49sHPnTv0k5pSUFIMen/nz50Mmk2H+/PlIS0uDl5cXRo4ciTfffLPOdVobjVboF0LkEBgREZFpyIQQor4XJyYmYtWqVfj666+Rl5eHBx98ENu2bTNl+yShVqvh5uaG/Px8uLq6StqWrIIS9H0zDjIZcO4/w2CjqPeDe0RERE2aMb+/G/TbtGPHjnjnnXeQmpqK9evXN6QqqkHl8JeHk5Lhh4iIyERM8htVoVBg9OjRTaL3x9JUToD24fAXERGRybBLwcLdnADNAERERGQqDEAWjosgEhERmR4DkIXTrwHEITAiIiKTYQCycBwCIyIiMj0GIAtXOQTmxSEwIiIik2EAsnDZ3AeMiIjI5BiALJgQ4mYA4hAYERGRyTAAWbC84nKUabQAAC8GICIiIpNhALJgmTeeAGvhaAuljULi1hARETUdDEAWjLvAExERNQ4GIAuWxQnQREREjYIByIJVLoLI+T9ERESmxQBkwTgERkRE1DgYgCwYH4EnIiJqHAxAFoz7gBERETUOBiALxp3giYiIGgcDkIUSQujnAPmwB4iIiMikGIAsVEFpBa6XawCwB4iIiMjUGIAsVGXvj4vSBg52XAWaiIjIlBiALJR+DSAOfxEREZkcA5CF4iPwREREjYcByEJxEUQiIqLGwwBkofRrALEHiIiIyOQYgCwUN0IlIiJqPAxAFopDYERERI2HAchCZXIbDCIiokbDAGShstkDRERE1GgYgCzQ9TINCkorALAHiIiIqDEwAFmgyifA7G3lcFHaSNwaIiKipocByALdugu8TCaTuDVERERNDwOQBbr5BBiHv4iIiBoDA5AFyuITYERERI2KAcgC3ToERkRERKbHAGSBKofAvDgERkRE1CgYgCxQ5RCYjyt7gIiIiBqDRQSg5cuXIzAwEPb29lCpVIiPj6+x7AMPPACZTFblGDFihL7M1KlTq7w/dOhQc9yKSXASNBERUeOSfJGZ2NhYREVFYeXKlVCpVFi2bBnCw8ORmJgIb2/vKuU3b96MsrIy/evc3FyEhIRg3LhxBuWGDh2K1atX618rldYTJjgJmoiIqHFJ3gO0dOlSzJgxA5GRkejSpQtWrlwJR0dHxMTEVFu+ZcuW8PX11R+7du2Co6NjlQCkVCoNyrVo0cIct9NgZRVaXCsuB8BJ0ERERI1F0gBUVlaGo0ePIiwsTH9OLpcjLCwMBw8erFMdq1atwsSJE+Hk5GRwfs+ePfD29kbHjh0xa9Ys5Obm1lhHaWkp1Gq1wSGV7ELd8JetQoYWjraStYOIiKgpkzQA5eTkQKPRwMfHx+C8j48PMjIy7nh9fHw8Tp06haeeesrg/NChQ/HVV18hLi4Ob7/9Nvbu3Ythw4ZBo9FUW8+SJUvg5uamPwICAup/Uw2UpdYNf3k5K7kKNBERUSORfA5QQ6xatQrdunVD3759Dc5PnDhR//du3bqhe/fuaNeuHfbs2YMhQ4ZUqSc6OhpRUVH612q1WrIQVLkGkBefACMiImo0kvYAeXp6QqFQIDMz0+B8ZmYmfH19a722qKgIGzZswPTp0+/4dYKDg+Hp6YmkpKRq31cqlXB1dTU4pHJzEUROgCYiImoskgYgOzs7hIaGIi4uTn9Oq9UiLi4O/fv3r/XaTZs2obS0FE888cQdv05qaipyc3Ph5+fX4DY3tuwbQ2AMQERERI1H8qfAoqKi8MUXX2Dt2rU4c+YMZs2ahaKiIkRGRgIAIiIiEB0dXeW6VatWYfTo0fDw8DA4X1hYiH//+984dOgQLl68iLi4OIwaNQrt27dHeHi4We6pITJvrAHERRCJiIgaj+RzgCZMmIDs7GwsXLgQGRkZ6NGjB3bu3KmfGJ2SkgK53DCnJSYmYv/+/fjll1+q1KdQKHDy5EmsXbsWeXl58Pf3x0MPPYQ33njDKtYC0q8BxB4gIiKiRiMTQgipG2Fp1Go13NzckJ+fb/b5QCM++h1/X1EjZmpvDO7kc+cLiIiICIBxv78lHwIjQ9wJnoiIqPExAFkQjVYgt5BPgRERETU2BiALkltYCq0A5DLAw5kBiIiIqLEwAFmQyuEvD2clFHKuAk1ERNRYGIAsCJ8AIyIiMg8GIAuSpeb8HyIiInNgALIgXASRiIjIPBiALAiHwIiIiMyDAciCcCd4IiIi82AAsiDcCZ6IiMg8GIAsCHeCJyIiMg8GIAshhEB25SrQHAIjIiJqVAxAFuJacTnKNbp9ab24CjQREVGjYgCyEJVPgLVwtIWdDT8WIiKixsTftBaCawARERGZDwOQhci6MQHaixOgiYiIGh0DkIW4+Qg8e4CIiIgaGwOQhciuDECu7AEiIiJqbAxAFoLbYBAREZkPA5CFuLkTPIfAiIiIGhsDkIXI4hAYERGR2TAAWQAhBIfAiIiIzIgByAIUlFagpFwLgENgRERE5sAAZAEq1wBysbeBg51C4tYQERE1fQxAFuDmBGgOfxEREZkDA5AF4CKIRERE5sUAZAH0E6D5BBgREZFZMABZAA6BERERmRcDkAXgEBgREZF5MQBZAA6BERERmRcDkAWo7AHy4hAYERGRWTAAWYBs7gNGRERkVgxAEisuq0BBaQUAwIdDYERERGbBACSxyifAHGwVcFbaSNwaIiKi5oEBSGK37gIvk8kkbg0REVHzwAAkMe4CT0REZH4MQBLL4gRoIiIis7OIALR8+XIEBgbC3t4eKpUK8fHxNZZ94IEHIJPJqhwjRozQlxFCYOHChfDz84ODgwPCwsJw7tw5c9yK0fgIPBERkflJHoBiY2MRFRWFRYsWISEhASEhIQgPD0dWVla15Tdv3oz09HT9cerUKSgUCowbN05f5p133sFHH32ElStX4vDhw3ByckJ4eDhKSkrMdVt1xkUQiYiIzE/yALR06VLMmDEDkZGR6NKlC1auXAlHR0fExMRUW75ly5bw9fXVH7t27YKjo6M+AAkhsGzZMsyfPx+jRo1C9+7d8dVXX+HKlSvYunWrGe+sbrK5DQYREZHZSRqAysrKcPToUYSFhenPyeVyhIWF4eDBg3WqY9WqVZg4cSKcnJwAAMnJycjIyDCo083NDSqVqs51mlOmmpOgiYiIzE3ShWdycnKg0Wjg4+NjcN7Hxwdnz5694/Xx8fE4deoUVq1apT+XkZGhr+P2Oivfu11paSlKS0v1r9VqdZ3voaEq5wD5uLIHiIiIyFwkHwJriFWrVqFbt27o27dvg+pZsmQJ3Nzc9EdAQICJWli70goN8orLAbAHiIiIyJwkDUCenp5QKBTIzMw0OJ+ZmQlfX99ary0qKsKGDRswffp0g/OV1xlTZ3R0NPLz8/XH5cuXjb2Veqmc/2OnkMPd0dYsX5OIiIgkDkB2dnYIDQ1FXFyc/pxWq0VcXBz69+9f67WbNm1CaWkpnnjiCYPzQUFB8PX1NahTrVbj8OHDNdapVCrh6upqcJjDrY/AcxVoIiIi85F886moqChMmTIFvXv3Rt++fbFs2TIUFRUhMjISABAREYFWrVphyZIlBtetWrUKo0ePhoeHh8F5mUyGefPm4T//+Q86dOiAoKAgLFiwAP7+/hg9erS5bqtOKhdB5BpARERE5iV5AJowYQKys7OxcOFCZGRkoEePHti5c6d+EnNKSgrkcsOOqsTEROzfvx+//PJLtXW++OKLKCoqwsyZM5GXl4cBAwZg586dsLe3rInG2dwGg4iISBIyIYSQuhGWRq1Ww83NDfn5+Y06HPb+L4n4+LckPNGvDf4zulujfR0iIqLmwJjf31b9FJi14z5gRERE0mAAklAmh8CIiIgkwQAkocoeIC6CSEREZF4MQBLiTvBERETSYACSSIVGi9yiG3OAuBM8ERGRWTEASSS3qAxCAHIZ4OHEAERERGRODEASqZz/4+mshELOVaCJiIjMiQFIIlmVT4Bx+IuIiMjsGIAkUjkBmmsAERERmR8DkERuLoLIHiAiIiJzYwCSiH4RRK4BREREZHYMQBJhDxAREZF0GIAkwp3giYiIpMMAJBH9JGgOgREREZkdA5AEtFqB7AIOgREREUmFAUgC14rLUKEVAHQLIRIREZF5MQBJoHL4q6WTHexs+BEQERGZG3/7SiCLw19ERESSYgCSQJZa9wSYFwMQERGRJBiAJFDZA+TDJ8CIiIgkwQAkgcoeIA6BERERSYMBSAKcA0RERCQtBiAJcBFEIiIiaTEASSCL22AQERFJigHIzIQQt2yEyh4gIiIiKTAAmZm6pAKlFVoAgLcre4CIiIikwABkZpW7wLvY28DeViFxa4iIiJonBiAzy1TzCTAiIiKpMQCZWeUEaC6CSEREJB0GIDPLYg8QERGR5BiAzIxrABEREUmPAcjMuAo0ERGR9BiAzIw7wRMREUmPAcjMsgu4CCIREZHUGIDM7OYcIPYAERERSYUByIyKSitQWFoBgHOAiIiIpMQAZEaVvT8Otgo4K20kbg0REVHzxQBkRpUToH1clZDJZBK3hoiIqPmSPAAtX74cgYGBsLe3h0qlQnx8fK3l8/LyMHv2bPj5+UGpVOKuu+7Cjh079O8vXrwYMpnM4OjUqVNj30adZHECNBERkUWQdBwmNjYWUVFRWLlyJVQqFZYtW4bw8HAkJibC29u7SvmysjI8+OCD8Pb2xnfffYdWrVrh0qVLcHd3NyjXtWtX/Prrr/rXNjaWMdxUGYC8OAGaiIhIUpImg6VLl2LGjBmIjIwEAKxcuRLbt29HTEwMXn755SrlY2JicPXqVRw4cAC2trYAgMDAwCrlbGxs4Ovr26htr4/SCg3sbeWcAE1ERCQxyYbAysrKcPToUYSFhd1sjFyOsLAwHDx4sNprtm3bhv79+2P27Nnw8fHB3Xffjbfeegsajcag3Llz5+Dv74/g4GBMnjwZKSkptbaltLQUarXa4GgMzz7QHmdeH4pXhndulPqJiIiobiQLQDk5OdBoNPDx8TE47+Pjg4yMjGqvuXDhAr777jtoNBrs2LEDCxYswPvvv4///Oc/+jIqlQpr1qzBzp07sWLFCiQnJ2PgwIEoKCiosS1LliyBm5ub/ggICDDNTVZDJpPBViH51CsiIqJmzTImx9SRVquFt7c3Pv/8cygUCoSGhiItLQ3vvvsuFi1aBAAYNmyYvnz37t2hUqnQtm1bbNy4EdOnT6+23ujoaERFRelfq9XqRg1BREREJC3JApCnpycUCgUyMzMNzmdmZtY4f8fPzw+2trZQKBT6c507d0ZGRgbKyspgZ2dX5Rp3d3fcddddSEpKqrEtSqUSSiXn5RARETUXko3F2NnZITQ0FHFxcfpzWq0WcXFx6N+/f7XX3HvvvUhKSoJWq9Wf++eff+Dn51dt+AGAwsJCnD9/Hn5+fqa9ASIiIrJakk5GiYqKwhdffIG1a9fizJkzmDVrFoqKivRPhUVERCA6OlpfftasWbh69Srmzp2Lf/75B9u3b8dbb72F2bNn68u88MIL2Lt3Ly5evIgDBw5gzJgxUCgUmDRpktnvj4iIiCyTpHOAJkyYgOzsbCxcuBAZGRno0aMHdu7cqZ8YnZKSArn8ZkYLCAjAzz//jOeffx7du3dHq1atMHfuXLz00kv6MqmpqZg0aRJyc3Ph5eWFAQMG4NChQ/Dy8jL7/REREZFlkgkhhNSNsDRqtRpubm7Iz8+Hq6ur1M0hIiKiOjDm9zefxyYiIqJmhwGIiIiImh0GICIiImp2GICIiIio2WEAIiIiomaHAYiIiIiaHQYgIiIianasajNUc6lcGkmtVkvcEiIiIqqryt/bdVnikAGoGgUFBQDAHeGJiIisUEFBAdzc3Gotw5Wgq6HVanHlyhW4uLhAJpOZtG61Wo2AgABcvny5ya8yzXttuprT/fJem67mdL/N5V6FECgoKIC/v7/BVlrVYQ9QNeRyOVq3bt2oX8PV1bVJ/yO8Fe+16WpO98t7bbqa0/02h3u9U89PJU6CJiIiomaHAYiIiIiaHQYgM1MqlVi0aBGUSqXUTWl0vNemqzndL++16WpO99uc7rWuOAmaiIiImh32ABEREVGzwwBEREREzQ4DEBERETU7DEBERETU7DAANYLly5cjMDAQ9vb2UKlUiI+Pr7X8pk2b0KlTJ9jb26Nbt27YsWOHmVpaf0uWLEGfPn3g4uICb29vjB49GomJibVes2bNGshkMoPD3t7eTC2uv8WLF1dpd6dOnWq9xho/00qBgYFV7lcmk2H27NnVlremz3Xfvn0YOXIk/P39IZPJsHXrVoP3hRBYuHAh/Pz84ODggLCwMJw7d+6O9Rr7M28Otd1reXk5XnrpJXTr1g1OTk7w9/dHREQErly5Umud9flZMJc7fbZTp06t0vahQ4fesV5r+2wBVPvzK5PJ8O6779ZYpyV/to2FAcjEYmNjERUVhUWLFiEhIQEhISEIDw9HVlZWteUPHDiASZMmYfr06Th27BhGjx6N0aNH49SpU2ZuuXH27t2L2bNn49ChQ9i1axfKy8vx0EMPoaioqNbrXF1dkZ6erj8uXbpkphY3TNeuXQ3avX///hrLWutnWunPP/80uNddu3YBAMaNG1fjNdbyuRYVFSEkJATLly+v9v133nkHH330EVauXInDhw/DyckJ4eHhKCkpqbFOY3/mzaW2ey0uLkZCQgIWLFiAhIQEbN68GYmJiXjkkUfuWK8xPwvmdKfPFgCGDh1q0Pb169fXWqc1frYADO4xPT0dMTExkMlkGDt2bK31Wupn22gEmVTfvn3F7Nmz9a81Go3w9/cXS5Ysqbb8+PHjxYgRIwzOqVQq8fTTTzdqO00tKytLABB79+6tsczq1auFm5ub+RplIosWLRIhISF1Lt9UPtNKc+fOFe3atRNarbba9631cwUgtmzZon+t1WqFr6+vePfdd/Xn8vLyhFKpFOvXr6+xHmN/5qVw+71WJz4+XgAQly5dqrGMsT8LUqnufqdMmSJGjRplVD1N5bMdNWqUGDx4cK1lrOWzNSX2AJlQWVkZjh49irCwMP05uVyOsLAwHDx4sNprDh48aFAeAMLDw2ssb6ny8/MBAC1btqy1XGFhIdq2bYuAgACMGjUKf//9tzma12Dnzp2Dv78/goODMXnyZKSkpNRYtql8poDu3/Q333yDadOm1boxsLV+rrdKTk5GRkaGwWfn5uYGlUpV42dXn595S5Wfnw+ZTAZ3d/dayxnzs2Bp9uzZA29vb3Ts2BGzZs1Cbm5ujWWbymebmZmJ7du3Y/r06Xcsa82fbX0wAJlQTk4ONBoNfHx8DM77+PggIyOj2msyMjKMKm+JtFot5s2bh3vvvRd33313jeU6duyImJgY/PDDD/jmm2+g1Wpxzz33IDU11YytNZ5KpcKaNWuwc+dOrFixAsnJyRg4cCAKCgqqLd8UPtNKW7duRV5eHqZOnVpjGWv9XG9X+fkY89nV52feEpWUlOCll17CpEmTat0o09ifBUsydOhQfPXVV4iLi8Pbb7+NvXv3YtiwYdBoNNWWbyqf7dq1a+Hi4oJHH3201nLW/NnWF3eDpwabPXs2Tp06dcfx4v79+6N///761/fccw86d+6Mzz77DG+88UZjN7Pehg0bpv979+7doVKp0LZtW2zcuLFO/1dlzVatWoVhw4bB39+/xjLW+rmSTnl5OcaPHw8hBFasWFFrWWv+WZg4caL+7926dUP37t3Rrl077NmzB0OGDJGwZY0rJiYGkydPvuODCdb82dYXe4BMyNPTEwqFApmZmQbnMzMz4evrW+01vr6+RpW3NHPmzMGPP/6I3bt3o3Xr1kZda2tri549eyIpKamRWtc43N3dcdddd9XYbmv/TCtdunQJv/76K5566imjrrPWz7Xy8zHms6vPz7wlqQw/ly5dwq5du2rt/anOnX4WLFlwcDA8PT1rbLu1f7YA8PvvvyMxMdHon2HAuj/bumIAMiE7OzuEhoYiLi5Of06r1SIuLs7g/5Bv1b9/f4PyALBr164ay1sKIQTmzJmDLVu24LfffkNQUJDRdWg0Gvz111/w8/NrhBY2nsLCQpw/f77GdlvrZ3q71atXw9vbGyNGjDDqOmv9XIOCguDr62vw2anVahw+fLjGz64+P/OWojL8nDt3Dr/++is8PDyMruNOPwuWLDU1Fbm5uTW23Zo/20qrVq1CaGgoQkJCjL7Wmj/bOpN6FnZTs2HDBqFUKsWaNWvE6dOnxcyZM4W7u7vIyMgQQgjx5JNPipdffllf/o8//hA2NjbivffeE2fOnBGLFi0Stra24q+//pLqFupk1qxZws3NTezZs0ekp6frj+LiYn2Z2+/1tddeEz///LM4f/68OHr0qJg4caKwt7cXf//9txS3UGf/+te/xJ49e0RycrL4448/RFhYmPD09BRZWVlCiKbzmd5Ko9GINm3aiJdeeqnKe9b8uRYUFIhjx46JY8eOCQBi6dKl4tixY/onn/773/8Kd3d38cMPP4iTJ0+KUaNGiaCgIHH9+nV9HYMHDxYff/yx/vWdfualUtu9lpWViUceeUS0bt1aHD9+3OBnuLS0VF/H7fd6p58FKdV2vwUFBeKFF14QBw8eFMnJyeLXX38VvXr1Eh06dBAlJSX6OprCZ1spPz9fODo6ihUrVlRbhzV9to2FAagRfPzxx6JNmzbCzs5O9O3bVxw6dEj/3v333y+mTJliUH7jxo3irrvuEnZ2dqJr165i+/btZm6x8QBUe6xevVpf5vZ7nTdvnv774uPjI4YPHy4SEhLM33gjTZgwQfj5+Qk7OzvRqlUrMWHCBJGUlKR/v6l8prf6+eefBQCRmJhY5T1r/lx3795d7b/byvvRarViwYIFwsfHRyiVSjFkyJAq34O2bduKRYsWGZyr7WdeKrXda3Jyco0/w7t379bXcfu93ulnQUq13W9xcbF46KGHhJeXl7C1tRVt27YVM2bMqBJkmsJnW+mzzz4TDg4OIi8vr9o6rOmzbSwyIYRo1C4mIiIiIgvDOUBERETU7DAAERERUbPDAERERETNDgMQERERNTsMQERERNTsMAARERFRs8MARERERM0OAxARUR3IZDJs3bpV6mYQkYkwABGRxZs6dSpkMlmVY+jQoVI3jYislI3UDSAiqouhQ4di9erVBueUSqVErSEia8ceICKyCkqlEr6+vgZHixYtAOiGp1asWIFhw4bBwcEBwcHB+O677wyu/+uvvzB48GA4ODjAw8MDM2fORGFhoUGZmJgYdO3aFUqlEn5+fpgzZ47B+zk5ORgzZgwcHR3RoUMHbNu2rXFvmogaDQMQETUJCxYswNixY3HixAlMnjwZEydOxJkzZwAARUVFCA8PR4sWLfDnn39i06ZN+PXXXw0CzooVKzB79mzMnDkTf/31F7Zt24b27dsbfI3XXnsN48ePx8mTJzF8+HBMnjwZV69eNet9EpGJSL0bKxHRnUyZMkUoFArh5ORkcLz55ptCCCEAiGeeecbgGpVKJWbNmiWEEOLzzz8XLVq0EIWFhfr3t2/fLuRyuX5HcH9/f/Hqq6/W2AYAYv78+frXhYWFAoD46aefTHafRGQ+nANERFZh0KBBWLFihcG5li1b6v/ev39/g/f69++P48ePAwDOnDmDkJAQODk56d+/9957odVqkZiYCJlMhitXrmDIkCG1tqF79+76vzs5OcHV1RVZWVn1vSUikhADEBFZBScnpypDUqbi4OBQp3K2trYGr2UyGbRabWM0iYgaGecAEVGTcOjQoSqvO3fuDADo3LkzTpw4gaKiIv37f/zxB+RyOTp27AgXFxcEBgYiLi7OrG0mIumwB4iIrEJpaSkyMjIMztnY2MDT0xMAsGnTJvTu3RsDBgzAunXrEB8fj1WrVgEAJk+ejEWLFmHKlClYvHgxsrOz8dxzz+HJJ5+Ej48PAGDx4sV45pln4O3tjWHDhqGgoAB//PEHnnvuOfPeKBGZBQMQEVmFnTt3ws/Pz+Bcx44dcfbsWQC6J7Q2bNiAZ599Fn5+fli/fj26dOkCAHB0dMTPP/+MuXPnok+fPnB0dMTYsWOxdOlSfV1TpkxBSUkJPvjgA7zwwgvw9PTEY489Zr4bJCKzkgkhhNSNICJqCJlMhi1btmD06NFSN4WIrATnABEREVGzwwBEREREzQ7nABGR1eNIPhEZiz1ARERE1OwwABEREVGzwwBEREREzQ4DEBERETU7DEBERETU7DAAERERUbPDAERERETNDgMQERERNTsMQERERNTs/D+hdWZR+NYEIgAAAABJRU5ErkJggg=="},"metadata":{}}]},{"cell_type":"markdown","source":"### MobileNet","metadata":{}},{"cell_type":"code","source":"from keras.applications import MobileNet\nfrom keras.layers import Dense, GlobalAveragePooling2D\nfrom keras.models import Model\nfrom keras.callbacks import ReduceLROnPlateau, ModelCheckpoint\n\n# Loading MobileNet model\nmobilenet_model = MobileNet(weights='imagenet', include_top=False, input_shape=(192, 192, 3))\nfeature_extractor = Model(inputs=mobilenet_model.input, outputs=mobilenet_model.get_layer('conv_pw_13_relu').output)\n\n# Freezing convolutional layers\nfor layer in feature_extractor.layers:\n layer.trainable = False\n\n# Adding dense layers on top\nx = feature_extractor.output\nx = GlobalAveragePooling2D()(x)\nx = Dense(1024, activation='relu')(x)\noutput = Dense(5, activation='softmax')(x)\n\n# Binding model\nmodel = Model(inputs=feature_extractor.input, outputs=output)\n\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, min_lr=1e-7, verbose=1)\n\nmodel.summary() # model summary\n","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:10:34.502444Z","iopub.execute_input":"2024-06-09T09:10:34.502946Z","iopub.status.idle":"2024-06-09T09:10:35.663029Z","shell.execute_reply.started":"2024-06-09T09:10:34.502906Z","shell.execute_reply":"2024-06-09T09:10:35.662096Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet/mobilenet_1_0_192_tf_no_top.h5\n\u001b[1m17225924/17225924\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_7\"\u001b[0m\n","text/html":"
Model: \"functional_7\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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_1 (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m864\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv1_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv1_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_1 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m288\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_1_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_1_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_2 (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m97\u001b[0m, \u001b[38;5;34m97\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_2 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m576\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_2_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m8,192\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_2_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_3 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_3_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,384\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_3_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_4 (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m49\u001b[0m, \u001b[38;5;34m49\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_4 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m1,152\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_4_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_4_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_4 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m32,768\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_4_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m1,024\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_4_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_5 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m2,304\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_5_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m1,024\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_5_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_5 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m65,536\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_5_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m1,024\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_5_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_6 (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m25\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_6 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m2,304\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_6_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m1,024\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_6_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_6 (\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;34m512\u001b[0m) │ \u001b[38;5;34m131,072\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_6_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_6_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_7 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m4,608\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_7_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_7_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_7 (\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;34m512\u001b[0m) │ \u001b[38;5;34m262,144\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_7_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_7_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_8 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m4,608\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_8_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_8_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_8 (\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;34m512\u001b[0m) │ \u001b[38;5;34m262,144\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_8_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_8_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_9 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m4,608\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_9_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_9_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_9 (\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;34m512\u001b[0m) │ \u001b[38;5;34m262,144\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_9_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_9_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_10 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m4,608\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_10_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_10_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_10 (\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;34m512\u001b[0m) │ \u001b[38;5;34m262,144\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_10_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_10_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_11 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m4,608\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_11_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_11_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_11 (\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;34m512\u001b[0m) │ \u001b[38;5;34m262,144\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_11_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_11_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_12 (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_12 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m4,608\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_12_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_12_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_12 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m524,288\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_12_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m4,096\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_12_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_13 (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m9,216\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_13_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m4,096\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_13_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_13 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m1,048,576\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_13_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m4,096\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_13_relu (\u001b[38;5;33mReLU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ global_average_pooling2d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_2 (\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 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ input_layer_1 (InputLayer)      │ (None, 192, 192, 3)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv1 (Conv2D)                  │ (None, 96, 96, 32)     │           864 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv1_bn (BatchNormalization)   │ (None, 96, 96, 32)     │           128 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv1_relu (ReLU)               │ (None, 96, 96, 32)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_1 (DepthwiseConv2D)     │ (None, 96, 96, 32)     │           288 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_1_bn                    │ (None, 96, 96, 32)     │           128 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_1_relu (ReLU)           │ (None, 96, 96, 32)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_1 (Conv2D)              │ (None, 96, 96, 64)     │         2,048 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_1_bn                    │ (None, 96, 96, 64)     │           256 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_1_relu (ReLU)           │ (None, 96, 96, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_2 (ZeroPadding2D)      │ (None, 97, 97, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_2 (DepthwiseConv2D)     │ (None, 48, 48, 64)     │           576 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_2_bn                    │ (None, 48, 48, 64)     │           256 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_2_relu (ReLU)           │ (None, 48, 48, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_2 (Conv2D)              │ (None, 48, 48, 128)    │         8,192 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_2_bn                    │ (None, 48, 48, 128)    │           512 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_2_relu (ReLU)           │ (None, 48, 48, 128)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_3 (DepthwiseConv2D)     │ (None, 48, 48, 128)    │         1,152 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_3_bn                    │ (None, 48, 48, 128)    │           512 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_3_relu (ReLU)           │ (None, 48, 48, 128)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_3 (Conv2D)              │ (None, 48, 48, 128)    │        16,384 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_3_bn                    │ (None, 48, 48, 128)    │           512 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_3_relu (ReLU)           │ (None, 48, 48, 128)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_4 (ZeroPadding2D)      │ (None, 49, 49, 128)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_4 (DepthwiseConv2D)     │ (None, 24, 24, 128)    │         1,152 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_4_bn                    │ (None, 24, 24, 128)    │           512 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_4_relu (ReLU)           │ (None, 24, 24, 128)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_4 (Conv2D)              │ (None, 24, 24, 256)    │        32,768 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_4_bn                    │ (None, 24, 24, 256)    │         1,024 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_4_relu (ReLU)           │ (None, 24, 24, 256)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_5 (DepthwiseConv2D)     │ (None, 24, 24, 256)    │         2,304 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_5_bn                    │ (None, 24, 24, 256)    │         1,024 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_5_relu (ReLU)           │ (None, 24, 24, 256)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_5 (Conv2D)              │ (None, 24, 24, 256)    │        65,536 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_5_bn                    │ (None, 24, 24, 256)    │         1,024 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_5_relu (ReLU)           │ (None, 24, 24, 256)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_6 (ZeroPadding2D)      │ (None, 25, 25, 256)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_6 (DepthwiseConv2D)     │ (None, 12, 12, 256)    │         2,304 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_6_bn                    │ (None, 12, 12, 256)    │         1,024 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_6_relu (ReLU)           │ (None, 12, 12, 256)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_6 (Conv2D)              │ (None, 12, 12, 512)    │       131,072 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_6_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_6_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_7 (DepthwiseConv2D)     │ (None, 12, 12, 512)    │         4,608 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_7_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_7_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_7 (Conv2D)              │ (None, 12, 12, 512)    │       262,144 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_7_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_7_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_8 (DepthwiseConv2D)     │ (None, 12, 12, 512)    │         4,608 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_8_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_8_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_8 (Conv2D)              │ (None, 12, 12, 512)    │       262,144 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_8_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_8_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_9 (DepthwiseConv2D)     │ (None, 12, 12, 512)    │         4,608 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_9_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_9_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_9 (Conv2D)              │ (None, 12, 12, 512)    │       262,144 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_9_bn                    │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_9_relu (ReLU)           │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_10 (DepthwiseConv2D)    │ (None, 12, 12, 512)    │         4,608 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_10_bn                   │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_10_relu (ReLU)          │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_10 (Conv2D)             │ (None, 12, 12, 512)    │       262,144 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_10_bn                   │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_10_relu (ReLU)          │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_11 (DepthwiseConv2D)    │ (None, 12, 12, 512)    │         4,608 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_11_bn                   │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_11_relu (ReLU)          │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_11 (Conv2D)             │ (None, 12, 12, 512)    │       262,144 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_11_bn                   │ (None, 12, 12, 512)    │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_11_relu (ReLU)          │ (None, 12, 12, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pad_12 (ZeroPadding2D)     │ (None, 13, 13, 512)    │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_12 (DepthwiseConv2D)    │ (None, 6, 6, 512)      │         4,608 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_12_bn                   │ (None, 6, 6, 512)      │         2,048 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_12_relu (ReLU)          │ (None, 6, 6, 512)      │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_12 (Conv2D)             │ (None, 6, 6, 1024)     │       524,288 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_12_bn                   │ (None, 6, 6, 1024)     │         4,096 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_12_relu (ReLU)          │ (None, 6, 6, 1024)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_13 (DepthwiseConv2D)    │ (None, 6, 6, 1024)     │         9,216 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_13_bn                   │ (None, 6, 6, 1024)     │         4,096 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_dw_13_relu (ReLU)          │ (None, 6, 6, 1024)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_13 (Conv2D)             │ (None, 6, 6, 1024)     │     1,048,576 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_13_bn                   │ (None, 6, 6, 1024)     │         4,096 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv_pw_13_relu (ReLU)          │ (None, 6, 6, 1024)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ global_average_pooling2d_1      │ (None, 1024)           │             0 │\n│ (GlobalAveragePooling2D)        │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_2 (Dense)                 │ (None, 1024)           │     1,049,600 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (Dense)                 │ (None, 5)              │         5,125 │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m4,283,589\u001b[0m (16.34 MB)\n","text/html":"
 Total params: 4,283,589 (16.34 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,054,725\u001b[0m (4.02 MB)\n","text/html":"
 Trainable params: 1,054,725 (4.02 MB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m3,228,864\u001b[0m (12.32 MB)\n","text/html":"
 Non-trainable params: 3,228,864 (12.32 MB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[reduce_lr,model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:10:35.664284Z","iopub.execute_input":"2024-06-09T09:10:35.664555Z","iopub.status.idle":"2024-06-09T09:11:41.518940Z","shell.execute_reply.started":"2024-06-09T09:10:35.664531Z","shell.execute_reply":"2024-06-09T09:11:41.518055Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m10/88\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 21ms/step - accuracy: 0.2000 - loss: 2.4694","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1717924250.558761 2434 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 75ms/step - accuracy: 0.6468 - loss: 1.2208","output_type":"stream"},{"name":"stderr","text":"W0000 00:00:1717924260.241061 2435 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_accuracy improved from -inf to 0.94667, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 169ms/step - accuracy: 0.6489 - loss: 1.2137 - val_accuracy: 0.9467 - val_loss: 0.1622 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 0.9769 - loss: 0.0854\nEpoch 2: val_accuracy improved from 0.94667 to 0.96267, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - accuracy: 0.9770 - loss: 0.0853 - val_accuracy: 0.9627 - val_loss: 0.1109 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 0.9908 - loss: 0.0393\nEpoch 3: val_accuracy improved from 0.96267 to 0.96533, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - accuracy: 0.9908 - loss: 0.0393 - val_accuracy: 0.9653 - val_loss: 0.1316 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 0.9936 - loss: 0.0257\nEpoch 4: val_accuracy did not improve from 0.96533\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.9936 - loss: 0.0258 - val_accuracy: 0.9227 - val_loss: 0.3144 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 0.9869 - loss: 0.0482\nEpoch 5: val_accuracy did not improve from 0.96533\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 0.9869 - loss: 0.0481 - val_accuracy: 0.9640 - val_loss: 0.1276 - learning_rate: 0.0010\nEpoch 6/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 0.9959 - loss: 0.0106\nEpoch 6: val_accuracy improved from 0.96533 to 0.96933, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - accuracy: 0.9959 - loss: 0.0106 - val_accuracy: 0.9693 - val_loss: 0.1121 - learning_rate: 0.0010\nEpoch 7/20\n\u001b[1m85/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 0.9970 - loss: 0.0096\nEpoch 7: val_accuracy improved from 0.96933 to 0.97067, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9971 - loss: 0.0094 - val_accuracy: 0.9707 - val_loss: 0.0861 - learning_rate: 0.0010\nEpoch 8/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 0.0016\nEpoch 8: val_accuracy improved from 0.97067 to 0.97200, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 27ms/step - accuracy: 1.0000 - loss: 0.0015 - val_accuracy: 0.9720 - val_loss: 0.0886 - learning_rate: 0.0010\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 17ms/step - accuracy: 1.0000 - loss: 6.8110e-04\nEpoch 9: val_accuracy improved from 0.97200 to 0.97333, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 1.0000 - loss: 6.7950e-04 - val_accuracy: 0.9733 - val_loss: 0.0917 - learning_rate: 0.0010\nEpoch 10/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 5.1030e-04\nEpoch 10: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 5.0994e-04 - val_accuracy: 0.9733 - val_loss: 0.0917 - learning_rate: 0.0010\nEpoch 11/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 3.8848e-04\nEpoch 11: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 3.8906e-04 - val_accuracy: 0.9720 - val_loss: 0.0914 - learning_rate: 0.0010\nEpoch 12/20\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 3.9503e-04\nEpoch 12: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n\nEpoch 12: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 3.9467e-04 - val_accuracy: 0.9707 - val_loss: 0.0946 - learning_rate: 0.0010\nEpoch 13/20\n\u001b[1m85/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 2.8546e-04\nEpoch 13: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 2.8703e-04 - val_accuracy: 0.9720 - val_loss: 0.0935 - learning_rate: 1.0000e-04\nEpoch 14/20\n\u001b[1m85/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 3.3091e-04\nEpoch 14: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 1.0000 - loss: 3.3005e-04 - val_accuracy: 0.9720 - val_loss: 0.0928 - learning_rate: 1.0000e-04\nEpoch 15/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 2.8670e-04\nEpoch 15: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 2.8745e-04 - val_accuracy: 0.9720 - val_loss: 0.0928 - learning_rate: 1.0000e-04\nEpoch 16/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 2.6413e-04\nEpoch 16: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 2.6554e-04 - val_accuracy: 0.9720 - val_loss: 0.0929 - learning_rate: 1.0000e-04\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 2.9751e-04\nEpoch 17: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n\nEpoch 17: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 2.9762e-04 - val_accuracy: 0.9720 - val_loss: 0.0928 - learning_rate: 1.0000e-04\nEpoch 18/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 2.7559e-04\nEpoch 18: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 2.7606e-04 - val_accuracy: 0.9720 - val_loss: 0.0928 - learning_rate: 1.0000e-05\nEpoch 19/20\n\u001b[1m86/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 3.2248e-04\nEpoch 19: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - accuracy: 1.0000 - loss: 3.2160e-04 - val_accuracy: 0.9720 - val_loss: 0.0928 - learning_rate: 1.0000e-05\nEpoch 20/20\n\u001b[1m85/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - accuracy: 1.0000 - loss: 3.0278e-04\nEpoch 20: val_accuracy did not improve from 0.97333\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - accuracy: 1.0000 - loss: 3.0242e-04 - val_accuracy: 0.9720 - val_loss: 0.0928 - learning_rate: 1.0000e-05\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:11:41.520424Z","iopub.execute_input":"2024-06-09T09:11:41.520727Z","iopub.status.idle":"2024-06-09T09:11:41.801869Z","shell.execute_reply.started":"2024-06-09T09:11:41.520701Z","shell.execute_reply":"2024-06-09T09:11:41.800684Z"},"trusted":true},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:11:41.803137Z","iopub.execute_input":"2024-06-09T09:11:41.803443Z","iopub.status.idle":"2024-06-09T09:11:42.052371Z","shell.execute_reply.started":"2024-06-09T09:11:41.803416Z","shell.execute_reply":"2024-06-09T09:11:42.051443Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### CNN","metadata":{}},{"cell_type":"code","source":"from keras.models import Sequential\nfrom keras.layers import GlobalAveragePooling2D, InputLayer\nfrom keras.regularizers import l1_l2\n\nmodel = Sequential()\n\nmodel.add(InputLayer(shape=(192, 192, 3))) # input layer\n\n# convolutional block\nmodel.add(Conv2D(64, 3, activation='relu', padding='same'))\nmodel.add(BatchNormalization())\nmodel.add(MaxPooling2D(pool_size=2))\n\n# convolutional block\nmodel.add(Conv2D(64, 3, activation='relu', padding='same'))\nmodel.add(BatchNormalization())\nmodel.add(MaxPooling2D(pool_size=2))\n\n# convolutional block\nmodel.add(Conv2D(64, 3, activation='relu', padding='same'))\nmodel.add(BatchNormalization())\nmodel.add(MaxPooling2D(pool_size=2))\n\n# convolutional block\nmodel.add(Conv2D(64, 3, activation='relu', padding='same'))\nmodel.add(BatchNormalization())\nmodel.add(MaxPooling2D(pool_size=2))\n\nmodel.add(GlobalAveragePooling2D()) # pooling down\n\nmodel.add(Dense(1024, activation='relu')) # dense layer\n\nmodel.add(Dense(5, activation='softmax')) # output layer\n\nmodel.summary() # model summary\n\n# model checkpoint callback\nmodel_checkpoint = ModelCheckpoint('model.keras', monitor='val_accuracy', save_best_only=True, verbose=1, mode='max')","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:27:11.484172Z","iopub.execute_input":"2024-06-09T09:27:11.484452Z","iopub.status.idle":"2024-06-09T09:27:11.743306Z","shell.execute_reply.started":"2024-06-09T09:27:11.484428Z","shell.execute_reply":"2024-06-09T09:27:11.742398Z"},"trusted":true},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential\"\u001b[0m\n","text/html":"
Model: \"sequential\"\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"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 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m1,792\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m192\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d_1 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m48\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d_2 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m24\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d_3 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ global_average_pooling2d │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m) │ │ │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m66,560\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m) │ \u001b[38;5;34m5,125\u001b[0m │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ conv2d (Conv2D)                 │ (None, 192, 192, 64)   │         1,792 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization             │ (None, 192, 192, 64)   │           256 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d (MaxPooling2D)    │ (None, 96, 96, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv2d_1 (Conv2D)               │ (None, 96, 96, 64)     │        36,928 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization_1           │ (None, 96, 96, 64)     │           256 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d_1 (MaxPooling2D)  │ (None, 48, 48, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv2d_2 (Conv2D)               │ (None, 48, 48, 64)     │        36,928 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization_2           │ (None, 48, 48, 64)     │           256 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d_2 (MaxPooling2D)  │ (None, 24, 24, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ conv2d_3 (Conv2D)               │ (None, 24, 24, 64)     │        36,928 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ batch_normalization_3           │ (None, 24, 24, 64)     │           256 │\n│ (BatchNormalization)            │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ max_pooling2d_3 (MaxPooling2D)  │ (None, 12, 12, 64)     │             0 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ global_average_pooling2d        │ (None, 64)             │             0 │\n│ (GlobalAveragePooling2D)        │                        │               │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense (Dense)                   │ (None, 1024)           │        66,560 │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_1 (Dense)                 │ (None, 5)              │         5,125 │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m185,285\u001b[0m (723.77 KB)\n","text/html":"
 Total params: 185,285 (723.77 KB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m184,773\u001b[0m (721.77 KB)\n","text/html":"
 Trainable params: 184,773 (721.77 KB)\n
\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m512\u001b[0m (2.00 KB)\n","text/html":"
 Non-trainable params: 512 (2.00 KB)\n
\n"},"metadata":{}}]},{"cell_type":"code","source":"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) # compiling and fitting model\nhistory = model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=20, batch_size=40,callbacks=[model_checkpoint])","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:27:11.744646Z","iopub.execute_input":"2024-06-09T09:27:11.745310Z","iopub.status.idle":"2024-06-09T09:28:53.930946Z","shell.execute_reply.started":"2024-06-09T09:27:11.745272Z","shell.execute_reply":"2024-06-09T09:28:53.929871Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Epoch 1/20\n","output_type":"stream"},{"name":"stderr","text":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1717925237.686966 3494 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n2024-06-09 09:27:28.372446: E external/local_xla/xla/service/slow_operation_alarm.cc:65] Trying algorithm eng19{} for conv (f16[64,3,3,64]{3,2,1,0}, u8[0]{0}) custom-call(f16[40,96,96,64]{3,2,1,0}, f16[40,96,96,64]{3,2,1,0}), window={size=3x3 pad=1_1x1_1}, dim_labels=b01f_o01i->b01f, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-06-09 09:27:28.918414: E external/local_xla/xla/service/slow_operation_alarm.cc:133] The operation took 1.546089347s\nTrying algorithm eng19{} for conv (f16[64,3,3,64]{3,2,1,0}, u8[0]{0}) custom-call(f16[40,96,96,64]{3,2,1,0}, f16[40,96,96,64]{3,2,1,0}), window={size=3x3 pad=1_1x1_1}, dim_labels=b01f_o01i->b01f, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-06-09 09:27:30.354404: E external/local_xla/xla/service/slow_operation_alarm.cc:65] Trying algorithm eng19{} for conv (f16[64,3,3,64]{3,2,1,0}, u8[0]{0}) custom-call(f16[40,96,96,64]{3,2,1,0}, f16[40,96,96,64]{3,2,1,0}), window={size=3x3 pad=1_1x1_1}, dim_labels=b01f_o01i->b01f, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n2024-06-09 09:27:30.903511: E external/local_xla/xla/service/slow_operation_alarm.cc:133] The operation took 1.549203955s\nTrying algorithm eng19{} for conv (f16[64,3,3,64]{3,2,1,0}, u8[0]{0}) custom-call(f16[40,96,96,64]{3,2,1,0}, f16[40,96,96,64]{3,2,1,0}), window={size=3x3 pad=1_1x1_1}, dim_labels=b01f_o01i->b01f, custom_call_target=\"__cudnn$convBackwardFilter\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kNone\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} is taking a while...\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 142ms/step - accuracy: 0.5670 - loss: 1.0770\nEpoch 1: val_accuracy improved from -inf to 0.13733, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m37s\u001b[0m 197ms/step - accuracy: 0.5683 - loss: 1.0745 - val_accuracy: 0.1373 - val_loss: 2.8789\nEpoch 2/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.8198 - loss: 0.5349\nEpoch 2: val_accuracy improved from 0.13733 to 0.20933, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.8201 - loss: 0.5339 - val_accuracy: 0.2093 - val_loss: 5.0678\nEpoch 3/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.8734 - loss: 0.3650\nEpoch 3: val_accuracy did not improve from 0.20933\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.8733 - loss: 0.3655 - val_accuracy: 0.2000 - val_loss: 3.9797\nEpoch 4/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.8864 - loss: 0.3269\nEpoch 4: val_accuracy improved from 0.20933 to 0.24533, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.8864 - loss: 0.3269 - val_accuracy: 0.2453 - val_loss: 4.2720\nEpoch 5/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9135 - loss: 0.2505\nEpoch 5: val_accuracy improved from 0.24533 to 0.30267, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9135 - loss: 0.2507 - val_accuracy: 0.3027 - val_loss: 3.0824\nEpoch 6/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9131 - loss: 0.2771\nEpoch 6: val_accuracy improved from 0.30267 to 0.55067, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9131 - loss: 0.2768 - val_accuracy: 0.5507 - val_loss: 1.6963\nEpoch 7/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9200 - loss: 0.2337\nEpoch 7: val_accuracy improved from 0.55067 to 0.72267, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9201 - loss: 0.2336 - val_accuracy: 0.7227 - val_loss: 0.7312\nEpoch 8/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9176 - loss: 0.2408\nEpoch 8: val_accuracy did not improve from 0.72267\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9177 - loss: 0.2405 - val_accuracy: 0.7227 - val_loss: 0.8121\nEpoch 9/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9411 - loss: 0.1648\nEpoch 9: val_accuracy improved from 0.72267 to 0.86933, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9410 - loss: 0.1654 - val_accuracy: 0.8693 - val_loss: 0.3335\nEpoch 10/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9490 - loss: 0.1607\nEpoch 10: val_accuracy improved from 0.86933 to 0.89200, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9492 - loss: 0.1604 - val_accuracy: 0.8920 - val_loss: 0.2950\nEpoch 11/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9508 - loss: 0.1345\nEpoch 11: val_accuracy did not improve from 0.89200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9509 - loss: 0.1344 - val_accuracy: 0.6760 - val_loss: 1.2175\nEpoch 12/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9561 - loss: 0.1210\nEpoch 12: val_accuracy did not improve from 0.89200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9561 - loss: 0.1213 - val_accuracy: 0.7600 - val_loss: 0.6804\nEpoch 13/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9555 - loss: 0.1196\nEpoch 13: val_accuracy improved from 0.89200 to 0.91200, saving model to model.keras\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9555 - loss: 0.1197 - val_accuracy: 0.9120 - val_loss: 0.2696\nEpoch 14/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9664 - loss: 0.1023\nEpoch 14: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9663 - loss: 0.1025 - val_accuracy: 0.6373 - val_loss: 1.2668\nEpoch 15/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9587 - loss: 0.1158\nEpoch 15: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9588 - loss: 0.1156 - val_accuracy: 0.6520 - val_loss: 1.4306\nEpoch 16/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9725 - loss: 0.0796\nEpoch 16: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9725 - loss: 0.0797 - val_accuracy: 0.9093 - val_loss: 0.2963\nEpoch 17/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9681 - loss: 0.0910\nEpoch 17: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9681 - loss: 0.0909 - val_accuracy: 0.7227 - val_loss: 1.3599\nEpoch 18/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9742 - loss: 0.0776\nEpoch 18: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9742 - loss: 0.0776 - val_accuracy: 0.8760 - val_loss: 0.3369\nEpoch 19/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9774 - loss: 0.0648\nEpoch 19: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9773 - loss: 0.0651 - val_accuracy: 0.8920 - val_loss: 0.3426\nEpoch 20/20\n\u001b[1m87/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 33ms/step - accuracy: 0.9624 - loss: 0.0972\nEpoch 20: val_accuracy did not improve from 0.91200\n\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9624 - loss: 0.0973 - val_accuracy: 0.8080 - val_loss: 0.7556\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Loss\")\nplt.title(\"Loss per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:28:53.932773Z","iopub.execute_input":"2024-06-09T09:28:53.933288Z","iopub.status.idle":"2024-06-09T09:28:54.262343Z","shell.execute_reply.started":"2024-06-09T09:28:53.933248Z","shell.execute_reply":"2024-06-09T09:28:54.261385Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.plot(history.history['accuracy'])\nplt.plot(history.history['val_accuracy'])\nplt.xlabel(\"Epoch\")\nplt.ylabel(\"Accuracy\")\nplt.title(\"Accuracy per epoch\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-09T09:28:54.265453Z","iopub.execute_input":"2024-06-09T09:28:54.265878Z","iopub.status.idle":"2024-06-09T09:28:54.539714Z","shell.execute_reply.started":"2024-06-09T09:28:54.265849Z","shell.execute_reply":"2024-06-09T09:28:54.538525Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]}]} \ No newline at end of file diff --git a/Plant Pathogen Detection using DL/README.md b/Plant Pathogen Detection using DL/README.md new file mode 100644 index 000000000..f99652e9f --- /dev/null +++ b/Plant Pathogen Detection using DL/README.md @@ -0,0 +1,139 @@ +## **Plant Pathogen Detection using DL** + +### 🎯 **Goal** + +The objective of this project is to classify images of Plants into 5 categories: Healthy, Virus, Bacteria, Fungi and Pests. + +### 🧵 **Dataset** + +The dataset consists of 5 subdirectories dealing with Healthy, Virus, Bacteria, Fungi and Pests: each carrying approximately 8000 images totalling to approximately 40000 images. + +We downsampled to approximately 1000 images per class totalling to 5000 images. + +### 🧾 **Description** + +The project deals with multiclass classification, classifying images of Plants into 5 categories: Healthy, Virus, Bacteria, Fungi and Pests. + +### 🧮 **What I had done!** + +To achieve our goals, the following steps were implemented: + +- Images were loaded using keras.utils and normalized to the range 0 to 1. + +- Turned Labels into probability distributions. + +- Images were resized to a fixed size of 224x224 pixels. + +- Custom and pre-trained models were used for this task. + +### 🚀 **Models Implemented** + +models used: + +- NASNetMobile +- Xception +- VGG16 +- CNN +- InceptionV3 +- DenseNet-121 +- MobileNet + +### 📚 **Libraries Needed** + +- Keras + +- Tensorflow + +- Numpy + +- Matplotlib + +### 📊 **Exploratory Data Analysis Results** + + +- #### **EDA** + +

+ + + + + +

+ + + +- #### **DenseNet-121** + +

+ + +

+ +- #### **CNN** + +

+ + +

+ +- #### **InceptionV3** + +

+ + +

+ +- #### **VGG16** + +

+ + +

+ +- #### **MobileNet** + +

+ + +

+ +- #### **NASNetMobile** + +

+ + +

+ +- #### **Xception** + +

+ + +

+ +### 📈 **Performance of the Models based on the Accuracy Scores** + +#### Metrics: + +We used Validation **Loss** and **Accuracy** as metrics. + +| Models | Accuracy | Loss | +|--------|---------------------|--------------------------| +| NASNetMobile | 94.67% | 0.1586 | +| InceptionV3 | 93.47% | 0.2511 | +| CNN | 91.20% | 0.2696 | +| VGG16 | 97.20% | 0.1099 | +| MobileNet | 97.33% | 0.0917 | +| DenseNet-121 | 97.73% | 0.0754 | +| Xception | 95.20% | 0.1823 | + +### 📢 **Conclusion** + +We conclude the following: + +All models worked exceptionally well on the task, and the ideal models for this are: **Xception**, **VGG16**, **MobileNet** and **DenseNet-121**. + +### ✒️ **Your Signature** + +Original Contributor: Arihant Bhandari [https://github.com/Arihant-Bhandari] \ No newline at end of file diff --git a/Plant Pathogen Detection using DL/requirements.txt b/Plant Pathogen Detection using DL/requirements.txt new file mode 100644 index 000000000..935d978bc --- /dev/null +++ b/Plant Pathogen Detection using DL/requirements.txt @@ -0,0 +1,7 @@ +tensorflow +keras +numpy +skLearn +pandas +matplotlib +seaborn \ No newline at end of file