PreTrained_CNN_3.1.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"PreTrained_CNN_3.1.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"},"accelerator":"GPU"},"cells":[{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cG69FK8qTlXc","executionInfo":{"status":"ok","timestamp":1611331180565,"user_tz":-60,"elapsed":936,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"594ec818-d38e-42f3-edcd-02e17e69767e"},"source":["from tensorflow import keras\r\n","import os\r\n","from google.colab import drive\r\n","import random as rn\r\n","import tensorflow as tf\r\n","import numpy as np\r\n","import matplotlib.pyplot as plt\r\n","\r\n","drive.mount('/content/drive/')\r\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Drive already mounted at /content/drive/; to attempt to forcibly remount, call drive.mount(\"/content/drive/\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"Cnz5cjTSN3qs"},"source":["# **Dataset load**"]},{"cell_type":"code","metadata":{"id":"TfEby8rrVtAM"},"source":["out_path = '/content/drive/My Drive/Ritorti[_Pasco]/project/numpy_data'\r\n","\r\n","def load_training():\r\n","  images = np.load(os.path.join(out_path,'train_tensor.npy'))\r\n","  labels = np.load(os.path.join(out_path,'train_labels.npy'))\r\n","  return images,labels\r\n","\r\n","def load_testing():\r\n","  images = np.load(os.path.join(out_path,'public_test_tensor.npy'))\r\n","  labels = np.load(os.path.join(out_path,'public_test_labels.npy'))\r\n","  return images,labels\r\n","\r\n","train_images, train_labels = load_training()\r\n","test_images, test_labels = load_testing()"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"sN7e40YYN_jo"},"source":["# **Preprocessing**\r\n"]},{"cell_type":"markdown","metadata":{"id":"Fcc7aaSWQnWP"},"source":["## Preparing training and test set for mass-calcification classification"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"CZ4zcTCSRczn","executionInfo":{"status":"ok","timestamp":1611328099802,"user_tz":-60,"elapsed":34140,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"1470f5f9-7aa6-476c-eaaf-537d61fee9f9"},"source":["#MASS-CALCIFICATION\r\n","train_zipped = zip(train_images,train_labels)\r\n","test_zipped = zip(test_images,test_labels)\r\n","train_images_mass_calc,train_labels_mass_calc = [],[]\r\n","test_images_mass_calc,test_labels_mass_calc = [],[]\r\n","\r\n","#training\r\n","for im,la in train_zipped:\r\n","  if la == 1 or la == 2: #masses -> 0\r\n","    train_images_mass_calc.append(im)\r\n","    train_labels_mass_calc.append(0)\r\n","  elif la == 3 or la == 4: #calcification -> 1\r\n","    train_images_mass_calc.append(im)\r\n","    train_labels_mass_calc.append(1)\r\n","\r\n","#testing\r\n","for im,la in test_zipped:\r\n","  if la == 1 or la == 2: #masses -> 0\r\n","    test_images_mass_calc.append(im)\r\n","    test_labels_mass_calc.append(0)\r\n","  elif la == 3 or la == 4: #calcification -> 1\r\n","    test_images_mass_calc.append(im)\r\n","    test_labels_mass_calc.append(1)\r\n","\r\n","train_images_mass_calc = np.array(train_images_mass_calc)\r\n","train_labels_mass_calc = np.array(train_labels_mass_calc)\r\n","test_images_mass_calc = np.array(test_images_mass_calc)\r\n","test_labels_mass_calc = np.array(test_labels_mass_calc)\r\n","print(f\"Shape training: {train_images_mass_calc.shape}\")\r\n","print(f\"Training: {train_images_mass_calc.astype}\")\r\n","print(f\"Shape testing: {test_images_mass_calc.shape}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Shape training: (2676, 150, 150)\n","Training: <built-in method astype of numpy.ndarray object at 0x7f3640d8fcb0>\n","Shape testing: (336, 150, 150)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"3rH_V2wBhS-X"},"source":["# Setting of parameters for reproducible results\r\n","os.environ[\"PYTHONHASHSEED\"]=\"0\"\r\n","np.random.seed(31)\r\n","rn.seed(14)\r\n","tf.random.set_seed(1234)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"nV-Apo4RObbQ"},"source":["## Some of our dataset view"]},{"cell_type":"markdown","metadata":{"id":"MiumFk_-Q4xI"},"source":["Distribution of classes"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"IJNjUE6GL2pY","executionInfo":{"status":"ok","timestamp":1611328099807,"user_tz":-60,"elapsed":34129,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"f31da4b4-2cec-4981-9bf3-9604dcc887f8"},"source":["plt.hist(train_labels_mass_calc)\r\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"9yU5uP--Q9aB"},"source":["First image of the training set"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"id":"0U62ni1TMH29","executionInfo":{"status":"ok","timestamp":1611328100317,"user_tz":-60,"elapsed":34622,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"10ba957c-8159-4b46-ed70-8419e85e548b"},"source":["plt.imshow(train_images_mass_calc[0,:,:])"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.image.AxesImage at 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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"PpRyqsVvOpYK"},"source":["Check of value range and distribution"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":282},"id":"aUsXpGz5M4Wu","executionInfo":{"status":"ok","timestamp":1611328102307,"user_tz":-60,"elapsed":36598,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"e3685f4a-bf78-42c5-d3af-e5e2cba3cfa5"},"source":["print(train_images_mass_calc[0].dtype)\r\n","plt.hist(train_images_mass_calc[0])\r\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["uint16\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"BGtVzW03Oult"},"source":["## Conversion from greyscale to color images and normalization"]},{"cell_type":"code","metadata":{"id":"gd0TGg9nOJEy"},"source":["train_images_mass_calc = np.repeat(train_images_mass_calc[..., np.newaxis], 3, -1)\r\n","train_images_mass_calc = train_images_mass_calc.astype('float32') / 65535\r\n","\r\n","test_images_mass_calc = np.repeat(test_images_mass_calc[..., np.newaxis], 3, -1)\r\n","test_images_mass_calc = test_images_mass_calc.astype('float32') / 65535"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"n6NmyTYeheOS","executionInfo":{"status":"ok","timestamp":1611328103244,"user_tz":-60,"elapsed":37522,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"8e8b2b9a-f92f-46c2-cb22-88469e48dfbe"},"source":["print(train_images_mass_calc.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["(2676, 150, 150, 3)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"0JibB7D5O2Ya"},"source":["# **Pre-trained network**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4IgiBpkSo_C1","executionInfo":{"status":"ok","timestamp":1611328115295,"user_tz":-60,"elapsed":49562,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"85d57a20-c09e-425c-8d5d-b04dcc82dd7c"},"source":["from tensorflow.keras.applications import InceptionResNetV2\r\n","\r\n","conv_base = InceptionResNetV2(weights='imagenet',\r\n","                  include_top=False, #beacuse we build a densly-connected newtork on top of it\r\n","                  input_shape=(150, 150, 3))\r\n","conv_base.summary()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/inception_resnet_v2/inception_resnet_v2_weights_tf_dim_ordering_tf_kernels_notop.h5\n","219062272/219055592 [==============================] - 2s 0us/step\n","Model: \"inception_resnet_v2\"\n","__________________________________________________________________________________________________\n","Layer (type)                    Output Shape         Param #     Connected to                     \n","==================================================================================================\n","input_1 (InputLayer)            [(None, 150, 150, 3) 0                                            \n","__________________________________________________________________________________________________\n","conv2d (Conv2D)                 (None, 74, 74, 32)   864         input_1[0][0]                    \n","__________________________________________________________________________________________________\n","batch_normalization (BatchNorma (None, 74, 74, 32)   96          conv2d[0][0]                     \n","__________________________________________________________________________________________________\n","activation (Activation)         (None, 74, 74, 32)   0           batch_normalization[0][0]        \n","__________________________________________________________________________________________________\n","conv2d_1 (Conv2D)               (None, 72, 72, 32)   9216        activation[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_1 (BatchNor (None, 72, 72, 32)   96          conv2d_1[0][0]                   \n","__________________________________________________________________________________________________\n","activation_1 (Activation)       (None, 72, 72, 32)   0           batch_normalization_1[0][0]      \n","__________________________________________________________________________________________________\n","conv2d_2 (Conv2D)               (None, 72, 72, 64)   18432       activation_1[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_2 (BatchNor (None, 72, 72, 64)   192         conv2d_2[0][0]                   \n","__________________________________________________________________________________________________\n","activation_2 (Activation)       (None, 72, 72, 64)   0           batch_normalization_2[0][0]      \n","__________________________________________________________________________________________________\n","max_pooling2d (MaxPooling2D)    (None, 35, 35, 64)   0           activation_2[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_3 (Conv2D)               (None, 35, 35, 80)   5120        max_pooling2d[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_3 (BatchNor (None, 35, 35, 80)   240         conv2d_3[0][0]                   \n","__________________________________________________________________________________________________\n","activation_3 (Activation)       (None, 35, 35, 80)   0           batch_normalization_3[0][0]      \n","__________________________________________________________________________________________________\n","conv2d_4 (Conv2D)               (None, 33, 33, 192)  138240      activation_3[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_4 (BatchNor (None, 33, 33, 192)  576         conv2d_4[0][0]                   \n","__________________________________________________________________________________________________\n","activation_4 (Activation)       (None, 33, 33, 192)  0           batch_normalization_4[0][0]      \n","__________________________________________________________________________________________________\n","max_pooling2d_1 (MaxPooling2D)  (None, 16, 16, 192)  0           activation_4[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_8 (Conv2D)               (None, 16, 16, 64)   12288       max_pooling2d_1[0][0]            \n","__________________________________________________________________________________________________\n","batch_normalization_8 (BatchNor (None, 16, 16, 64)   192         conv2d_8[0][0]                   \n","__________________________________________________________________________________________________\n","activation_8 (Activation)       (None, 16, 16, 64)   0           batch_normalization_8[0][0]      \n","__________________________________________________________________________________________________\n","conv2d_6 (Conv2D)               (None, 16, 16, 48)   9216        max_pooling2d_1[0][0]            \n","__________________________________________________________________________________________________\n","conv2d_9 (Conv2D)               (None, 16, 16, 96)   55296       activation_8[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_6 (BatchNor (None, 16, 16, 48)   144         conv2d_6[0][0]                   \n","__________________________________________________________________________________________________\n","batch_normalization_9 (BatchNor (None, 16, 16, 96)   288         conv2d_9[0][0]                   \n","__________________________________________________________________________________________________\n","activation_6 (Activation)       (None, 16, 16, 48)   0           batch_normalization_6[0][0]      \n","__________________________________________________________________________________________________\n","activation_9 (Activation)       (None, 16, 16, 96)   0           batch_normalization_9[0][0]      \n","__________________________________________________________________________________________________\n","average_pooling2d (AveragePooli (None, 16, 16, 192)  0           max_pooling2d_1[0][0]            \n","__________________________________________________________________________________________________\n","conv2d_5 (Conv2D)               (None, 16, 16, 96)   18432       max_pooling2d_1[0][0]            \n","__________________________________________________________________________________________________\n","conv2d_7 (Conv2D)               (None, 16, 16, 64)   76800       activation_6[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_10 (Conv2D)              (None, 16, 16, 96)   82944       activation_9[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_11 (Conv2D)              (None, 16, 16, 64)   12288       average_pooling2d[0][0]          \n","__________________________________________________________________________________________________\n","batch_normalization_5 (BatchNor (None, 16, 16, 96)   288         conv2d_5[0][0]                   \n","__________________________________________________________________________________________________\n","batch_normalization_7 (BatchNor (None, 16, 16, 64)   192         conv2d_7[0][0]                   \n","__________________________________________________________________________________________________\n","batch_normalization_10 (BatchNo (None, 16, 16, 96)   288         conv2d_10[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_11 (BatchNo (None, 16, 16, 64)   192         conv2d_11[0][0]                  \n","__________________________________________________________________________________________________\n","activation_5 (Activation)       (None, 16, 16, 96)   0           batch_normalization_5[0][0]      \n","__________________________________________________________________________________________________\n","activation_7 (Activation)       (None, 16, 16, 64)   0           batch_normalization_7[0][0]      \n","__________________________________________________________________________________________________\n","activation_10 (Activation)      (None, 16, 16, 96)   0           batch_normalization_10[0][0]     \n","__________________________________________________________________________________________________\n","activation_11 (Activation)      (None, 16, 16, 64)   0           batch_normalization_11[0][0]     \n","__________________________________________________________________________________________________\n","mixed_5b (Concatenate)          (None, 16, 16, 320)  0           activation_5[0][0]               \n","                                                                 activation_7[0][0]               \n","                                                                 activation_10[0][0]              \n","                                                                 activation_11[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_15 (Conv2D)              (None, 16, 16, 32)   10240       mixed_5b[0][0]                   \n","__________________________________________________________________________________________________\n","batch_normalization_15 (BatchNo (None, 16, 16, 32)   96          conv2d_15[0][0]                  \n","__________________________________________________________________________________________________\n","activation_15 (Activation)      (None, 16, 16, 32)   0           batch_normalization_15[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_13 (Conv2D)              (None, 16, 16, 32)   10240       mixed_5b[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_16 (Conv2D)              (None, 16, 16, 48)   13824       activation_15[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_13 (BatchNo (None, 16, 16, 32)   96          conv2d_13[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_16 (BatchNo (None, 16, 16, 48)   144         conv2d_16[0][0]                  \n","__________________________________________________________________________________________________\n","activation_13 (Activation)      (None, 16, 16, 32)   0           batch_normalization_13[0][0]     \n","__________________________________________________________________________________________________\n","activation_16 (Activation)      (None, 16, 16, 48)   0           batch_normalization_16[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_12 (Conv2D)              (None, 16, 16, 32)   10240       mixed_5b[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_14 (Conv2D)              (None, 16, 16, 32)   9216        activation_13[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_17 (Conv2D)              (None, 16, 16, 64)   27648       activation_16[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_12 (BatchNo (None, 16, 16, 32)   96          conv2d_12[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_14 (BatchNo (None, 16, 16, 32)   96          conv2d_14[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_17 (BatchNo (None, 16, 16, 64)   192         conv2d_17[0][0]                  \n","__________________________________________________________________________________________________\n","activation_12 (Activation)      (None, 16, 16, 32)   0           batch_normalization_12[0][0]     \n","__________________________________________________________________________________________________\n","activation_14 (Activation)      (None, 16, 16, 32)   0           batch_normalization_14[0][0]     \n","__________________________________________________________________________________________________\n","activation_17 (Activation)      (None, 16, 16, 64)   0           batch_normalization_17[0][0]     \n","__________________________________________________________________________________________________\n","block35_1_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_12[0][0]              \n","                                                                 activation_14[0][0]              \n","                                                                 activation_17[0][0]              \n","__________________________________________________________________________________________________\n","block35_1_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_1_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_1 (Lambda)              (None, 16, 16, 320)  0           mixed_5b[0][0]                   \n","                                                                 block35_1_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_1_ac (Activation)       (None, 16, 16, 320)  0           block35_1[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_21 (Conv2D)              (None, 16, 16, 32)   10240       block35_1_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_21 (BatchNo (None, 16, 16, 32)   96          conv2d_21[0][0]                  \n","__________________________________________________________________________________________________\n","activation_21 (Activation)      (None, 16, 16, 32)   0           batch_normalization_21[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_19 (Conv2D)              (None, 16, 16, 32)   10240       block35_1_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_22 (Conv2D)              (None, 16, 16, 48)   13824       activation_21[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_19 (BatchNo (None, 16, 16, 32)   96          conv2d_19[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_22 (BatchNo (None, 16, 16, 48)   144         conv2d_22[0][0]                  \n","__________________________________________________________________________________________________\n","activation_19 (Activation)      (None, 16, 16, 32)   0           batch_normalization_19[0][0]     \n","__________________________________________________________________________________________________\n","activation_22 (Activation)      (None, 16, 16, 48)   0           batch_normalization_22[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_18 (Conv2D)              (None, 16, 16, 32)   10240       block35_1_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_20 (Conv2D)              (None, 16, 16, 32)   9216        activation_19[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_23 (Conv2D)              (None, 16, 16, 64)   27648       activation_22[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_18 (BatchNo (None, 16, 16, 32)   96          conv2d_18[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_20 (BatchNo (None, 16, 16, 32)   96          conv2d_20[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_23 (BatchNo (None, 16, 16, 64)   192         conv2d_23[0][0]                  \n","__________________________________________________________________________________________________\n","activation_18 (Activation)      (None, 16, 16, 32)   0           batch_normalization_18[0][0]     \n","__________________________________________________________________________________________________\n","activation_20 (Activation)      (None, 16, 16, 32)   0           batch_normalization_20[0][0]     \n","__________________________________________________________________________________________________\n","activation_23 (Activation)      (None, 16, 16, 64)   0           batch_normalization_23[0][0]     \n","__________________________________________________________________________________________________\n","block35_2_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_18[0][0]              \n","                                                                 activation_20[0][0]              \n","                                                                 activation_23[0][0]              \n","__________________________________________________________________________________________________\n","block35_2_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_2_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_2 (Lambda)              (None, 16, 16, 320)  0           block35_1_ac[0][0]               \n","                                                                 block35_2_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_2_ac (Activation)       (None, 16, 16, 320)  0           block35_2[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_27 (Conv2D)              (None, 16, 16, 32)   10240       block35_2_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_27 (BatchNo (None, 16, 16, 32)   96          conv2d_27[0][0]                  \n","__________________________________________________________________________________________________\n","activation_27 (Activation)      (None, 16, 16, 32)   0           batch_normalization_27[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_25 (Conv2D)              (None, 16, 16, 32)   10240       block35_2_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_28 (Conv2D)              (None, 16, 16, 48)   13824       activation_27[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_25 (BatchNo (None, 16, 16, 32)   96          conv2d_25[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_28 (BatchNo (None, 16, 16, 48)   144         conv2d_28[0][0]                  \n","__________________________________________________________________________________________________\n","activation_25 (Activation)      (None, 16, 16, 32)   0           batch_normalization_25[0][0]     \n","__________________________________________________________________________________________________\n","activation_28 (Activation)      (None, 16, 16, 48)   0           batch_normalization_28[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_24 (Conv2D)              (None, 16, 16, 32)   10240       block35_2_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_26 (Conv2D)              (None, 16, 16, 32)   9216        activation_25[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_29 (Conv2D)              (None, 16, 16, 64)   27648       activation_28[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_24 (BatchNo (None, 16, 16, 32)   96          conv2d_24[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_26 (BatchNo (None, 16, 16, 32)   96          conv2d_26[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_29 (BatchNo (None, 16, 16, 64)   192         conv2d_29[0][0]                  \n","__________________________________________________________________________________________________\n","activation_24 (Activation)      (None, 16, 16, 32)   0           batch_normalization_24[0][0]     \n","__________________________________________________________________________________________________\n","activation_26 (Activation)      (None, 16, 16, 32)   0           batch_normalization_26[0][0]     \n","__________________________________________________________________________________________________\n","activation_29 (Activation)      (None, 16, 16, 64)   0           batch_normalization_29[0][0]     \n","__________________________________________________________________________________________________\n","block35_3_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_24[0][0]              \n","                                                                 activation_26[0][0]              \n","                                                                 activation_29[0][0]              \n","__________________________________________________________________________________________________\n","block35_3_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_3_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_3 (Lambda)              (None, 16, 16, 320)  0           block35_2_ac[0][0]               \n","                                                                 block35_3_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_3_ac (Activation)       (None, 16, 16, 320)  0           block35_3[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_33 (Conv2D)              (None, 16, 16, 32)   10240       block35_3_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_33 (BatchNo (None, 16, 16, 32)   96          conv2d_33[0][0]                  \n","__________________________________________________________________________________________________\n","activation_33 (Activation)      (None, 16, 16, 32)   0           batch_normalization_33[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_31 (Conv2D)              (None, 16, 16, 32)   10240       block35_3_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_34 (Conv2D)              (None, 16, 16, 48)   13824       activation_33[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_31 (BatchNo (None, 16, 16, 32)   96          conv2d_31[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_34 (BatchNo (None, 16, 16, 48)   144         conv2d_34[0][0]                  \n","__________________________________________________________________________________________________\n","activation_31 (Activation)      (None, 16, 16, 32)   0           batch_normalization_31[0][0]     \n","__________________________________________________________________________________________________\n","activation_34 (Activation)      (None, 16, 16, 48)   0           batch_normalization_34[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_30 (Conv2D)              (None, 16, 16, 32)   10240       block35_3_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_32 (Conv2D)              (None, 16, 16, 32)   9216        activation_31[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_35 (Conv2D)              (None, 16, 16, 64)   27648       activation_34[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_30 (BatchNo (None, 16, 16, 32)   96          conv2d_30[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_32 (BatchNo (None, 16, 16, 32)   96          conv2d_32[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_35 (BatchNo (None, 16, 16, 64)   192         conv2d_35[0][0]                  \n","__________________________________________________________________________________________________\n","activation_30 (Activation)      (None, 16, 16, 32)   0           batch_normalization_30[0][0]     \n","__________________________________________________________________________________________________\n","activation_32 (Activation)      (None, 16, 16, 32)   0           batch_normalization_32[0][0]     \n","__________________________________________________________________________________________________\n","activation_35 (Activation)      (None, 16, 16, 64)   0           batch_normalization_35[0][0]     \n","__________________________________________________________________________________________________\n","block35_4_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_30[0][0]              \n","                                                                 activation_32[0][0]              \n","                                                                 activation_35[0][0]              \n","__________________________________________________________________________________________________\n","block35_4_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_4_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_4 (Lambda)              (None, 16, 16, 320)  0           block35_3_ac[0][0]               \n","                                                                 block35_4_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_4_ac (Activation)       (None, 16, 16, 320)  0           block35_4[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_39 (Conv2D)              (None, 16, 16, 32)   10240       block35_4_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_39 (BatchNo (None, 16, 16, 32)   96          conv2d_39[0][0]                  \n","__________________________________________________________________________________________________\n","activation_39 (Activation)      (None, 16, 16, 32)   0           batch_normalization_39[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_37 (Conv2D)              (None, 16, 16, 32)   10240       block35_4_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_40 (Conv2D)              (None, 16, 16, 48)   13824       activation_39[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_37 (BatchNo (None, 16, 16, 32)   96          conv2d_37[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_40 (BatchNo (None, 16, 16, 48)   144         conv2d_40[0][0]                  \n","__________________________________________________________________________________________________\n","activation_37 (Activation)      (None, 16, 16, 32)   0           batch_normalization_37[0][0]     \n","__________________________________________________________________________________________________\n","activation_40 (Activation)      (None, 16, 16, 48)   0           batch_normalization_40[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_36 (Conv2D)              (None, 16, 16, 32)   10240       block35_4_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_38 (Conv2D)              (None, 16, 16, 32)   9216        activation_37[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_41 (Conv2D)              (None, 16, 16, 64)   27648       activation_40[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_36 (BatchNo (None, 16, 16, 32)   96          conv2d_36[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_38 (BatchNo (None, 16, 16, 32)   96          conv2d_38[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_41 (BatchNo (None, 16, 16, 64)   192         conv2d_41[0][0]                  \n","__________________________________________________________________________________________________\n","activation_36 (Activation)      (None, 16, 16, 32)   0           batch_normalization_36[0][0]     \n","__________________________________________________________________________________________________\n","activation_38 (Activation)      (None, 16, 16, 32)   0           batch_normalization_38[0][0]     \n","__________________________________________________________________________________________________\n","activation_41 (Activation)      (None, 16, 16, 64)   0           batch_normalization_41[0][0]     \n","__________________________________________________________________________________________________\n","block35_5_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_36[0][0]              \n","                                                                 activation_38[0][0]              \n","                                                                 activation_41[0][0]              \n","__________________________________________________________________________________________________\n","block35_5_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_5_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_5 (Lambda)              (None, 16, 16, 320)  0           block35_4_ac[0][0]               \n","                                                                 block35_5_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_5_ac (Activation)       (None, 16, 16, 320)  0           block35_5[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_45 (Conv2D)              (None, 16, 16, 32)   10240       block35_5_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_45 (BatchNo (None, 16, 16, 32)   96          conv2d_45[0][0]                  \n","__________________________________________________________________________________________________\n","activation_45 (Activation)      (None, 16, 16, 32)   0           batch_normalization_45[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_43 (Conv2D)              (None, 16, 16, 32)   10240       block35_5_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_46 (Conv2D)              (None, 16, 16, 48)   13824       activation_45[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_43 (BatchNo (None, 16, 16, 32)   96          conv2d_43[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_46 (BatchNo (None, 16, 16, 48)   144         conv2d_46[0][0]                  \n","__________________________________________________________________________________________________\n","activation_43 (Activation)      (None, 16, 16, 32)   0           batch_normalization_43[0][0]     \n","__________________________________________________________________________________________________\n","activation_46 (Activation)      (None, 16, 16, 48)   0           batch_normalization_46[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_42 (Conv2D)              (None, 16, 16, 32)   10240       block35_5_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_44 (Conv2D)              (None, 16, 16, 32)   9216        activation_43[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_47 (Conv2D)              (None, 16, 16, 64)   27648       activation_46[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_42 (BatchNo (None, 16, 16, 32)   96          conv2d_42[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_44 (BatchNo (None, 16, 16, 32)   96          conv2d_44[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_47 (BatchNo (None, 16, 16, 64)   192         conv2d_47[0][0]                  \n","__________________________________________________________________________________________________\n","activation_42 (Activation)      (None, 16, 16, 32)   0           batch_normalization_42[0][0]     \n","__________________________________________________________________________________________________\n","activation_44 (Activation)      (None, 16, 16, 32)   0           batch_normalization_44[0][0]     \n","__________________________________________________________________________________________________\n","activation_47 (Activation)      (None, 16, 16, 64)   0           batch_normalization_47[0][0]     \n","__________________________________________________________________________________________________\n","block35_6_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_42[0][0]              \n","                                                                 activation_44[0][0]              \n","                                                                 activation_47[0][0]              \n","__________________________________________________________________________________________________\n","block35_6_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_6_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_6 (Lambda)              (None, 16, 16, 320)  0           block35_5_ac[0][0]               \n","                                                                 block35_6_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_6_ac (Activation)       (None, 16, 16, 320)  0           block35_6[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_51 (Conv2D)              (None, 16, 16, 32)   10240       block35_6_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_51 (BatchNo (None, 16, 16, 32)   96          conv2d_51[0][0]                  \n","__________________________________________________________________________________________________\n","activation_51 (Activation)      (None, 16, 16, 32)   0           batch_normalization_51[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_49 (Conv2D)              (None, 16, 16, 32)   10240       block35_6_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_52 (Conv2D)              (None, 16, 16, 48)   13824       activation_51[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_49 (BatchNo (None, 16, 16, 32)   96          conv2d_49[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_52 (BatchNo (None, 16, 16, 48)   144         conv2d_52[0][0]                  \n","__________________________________________________________________________________________________\n","activation_49 (Activation)      (None, 16, 16, 32)   0           batch_normalization_49[0][0]     \n","__________________________________________________________________________________________________\n","activation_52 (Activation)      (None, 16, 16, 48)   0           batch_normalization_52[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_48 (Conv2D)              (None, 16, 16, 32)   10240       block35_6_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_50 (Conv2D)              (None, 16, 16, 32)   9216        activation_49[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_53 (Conv2D)              (None, 16, 16, 64)   27648       activation_52[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_48 (BatchNo (None, 16, 16, 32)   96          conv2d_48[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_50 (BatchNo (None, 16, 16, 32)   96          conv2d_50[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_53 (BatchNo (None, 16, 16, 64)   192         conv2d_53[0][0]                  \n","__________________________________________________________________________________________________\n","activation_48 (Activation)      (None, 16, 16, 32)   0           batch_normalization_48[0][0]     \n","__________________________________________________________________________________________________\n","activation_50 (Activation)      (None, 16, 16, 32)   0           batch_normalization_50[0][0]     \n","__________________________________________________________________________________________________\n","activation_53 (Activation)      (None, 16, 16, 64)   0           batch_normalization_53[0][0]     \n","__________________________________________________________________________________________________\n","block35_7_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_48[0][0]              \n","                                                                 activation_50[0][0]              \n","                                                                 activation_53[0][0]              \n","__________________________________________________________________________________________________\n","block35_7_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_7_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_7 (Lambda)              (None, 16, 16, 320)  0           block35_6_ac[0][0]               \n","                                                                 block35_7_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_7_ac (Activation)       (None, 16, 16, 320)  0           block35_7[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_57 (Conv2D)              (None, 16, 16, 32)   10240       block35_7_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_57 (BatchNo (None, 16, 16, 32)   96          conv2d_57[0][0]                  \n","__________________________________________________________________________________________________\n","activation_57 (Activation)      (None, 16, 16, 32)   0           batch_normalization_57[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_55 (Conv2D)              (None, 16, 16, 32)   10240       block35_7_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_58 (Conv2D)              (None, 16, 16, 48)   13824       activation_57[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_55 (BatchNo (None, 16, 16, 32)   96          conv2d_55[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_58 (BatchNo (None, 16, 16, 48)   144         conv2d_58[0][0]                  \n","__________________________________________________________________________________________________\n","activation_55 (Activation)      (None, 16, 16, 32)   0           batch_normalization_55[0][0]     \n","__________________________________________________________________________________________________\n","activation_58 (Activation)      (None, 16, 16, 48)   0           batch_normalization_58[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_54 (Conv2D)              (None, 16, 16, 32)   10240       block35_7_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_56 (Conv2D)              (None, 16, 16, 32)   9216        activation_55[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_59 (Conv2D)              (None, 16, 16, 64)   27648       activation_58[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_54 (BatchNo (None, 16, 16, 32)   96          conv2d_54[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_56 (BatchNo (None, 16, 16, 32)   96          conv2d_56[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_59 (BatchNo (None, 16, 16, 64)   192         conv2d_59[0][0]                  \n","__________________________________________________________________________________________________\n","activation_54 (Activation)      (None, 16, 16, 32)   0           batch_normalization_54[0][0]     \n","__________________________________________________________________________________________________\n","activation_56 (Activation)      (None, 16, 16, 32)   0           batch_normalization_56[0][0]     \n","__________________________________________________________________________________________________\n","activation_59 (Activation)      (None, 16, 16, 64)   0           batch_normalization_59[0][0]     \n","__________________________________________________________________________________________________\n","block35_8_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_54[0][0]              \n","                                                                 activation_56[0][0]              \n","                                                                 activation_59[0][0]              \n","__________________________________________________________________________________________________\n","block35_8_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_8_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_8 (Lambda)              (None, 16, 16, 320)  0           block35_7_ac[0][0]               \n","                                                                 block35_8_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_8_ac (Activation)       (None, 16, 16, 320)  0           block35_8[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_63 (Conv2D)              (None, 16, 16, 32)   10240       block35_8_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_63 (BatchNo (None, 16, 16, 32)   96          conv2d_63[0][0]                  \n","__________________________________________________________________________________________________\n","activation_63 (Activation)      (None, 16, 16, 32)   0           batch_normalization_63[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_61 (Conv2D)              (None, 16, 16, 32)   10240       block35_8_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_64 (Conv2D)              (None, 16, 16, 48)   13824       activation_63[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_61 (BatchNo (None, 16, 16, 32)   96          conv2d_61[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_64 (BatchNo (None, 16, 16, 48)   144         conv2d_64[0][0]                  \n","__________________________________________________________________________________________________\n","activation_61 (Activation)      (None, 16, 16, 32)   0           batch_normalization_61[0][0]     \n","__________________________________________________________________________________________________\n","activation_64 (Activation)      (None, 16, 16, 48)   0           batch_normalization_64[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_60 (Conv2D)              (None, 16, 16, 32)   10240       block35_8_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_62 (Conv2D)              (None, 16, 16, 32)   9216        activation_61[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_65 (Conv2D)              (None, 16, 16, 64)   27648       activation_64[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_60 (BatchNo (None, 16, 16, 32)   96          conv2d_60[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_62 (BatchNo (None, 16, 16, 32)   96          conv2d_62[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_65 (BatchNo (None, 16, 16, 64)   192         conv2d_65[0][0]                  \n","__________________________________________________________________________________________________\n","activation_60 (Activation)      (None, 16, 16, 32)   0           batch_normalization_60[0][0]     \n","__________________________________________________________________________________________________\n","activation_62 (Activation)      (None, 16, 16, 32)   0           batch_normalization_62[0][0]     \n","__________________________________________________________________________________________________\n","activation_65 (Activation)      (None, 16, 16, 64)   0           batch_normalization_65[0][0]     \n","__________________________________________________________________________________________________\n","block35_9_mixed (Concatenate)   (None, 16, 16, 128)  0           activation_60[0][0]              \n","                                                                 activation_62[0][0]              \n","                                                                 activation_65[0][0]              \n","__________________________________________________________________________________________________\n","block35_9_conv (Conv2D)         (None, 16, 16, 320)  41280       block35_9_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block35_9 (Lambda)              (None, 16, 16, 320)  0           block35_8_ac[0][0]               \n","                                                                 block35_9_conv[0][0]             \n","__________________________________________________________________________________________________\n","block35_9_ac (Activation)       (None, 16, 16, 320)  0           block35_9[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_69 (Conv2D)              (None, 16, 16, 32)   10240       block35_9_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_69 (BatchNo (None, 16, 16, 32)   96          conv2d_69[0][0]                  \n","__________________________________________________________________________________________________\n","activation_69 (Activation)      (None, 16, 16, 32)   0           batch_normalization_69[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_67 (Conv2D)              (None, 16, 16, 32)   10240       block35_9_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_70 (Conv2D)              (None, 16, 16, 48)   13824       activation_69[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_67 (BatchNo (None, 16, 16, 32)   96          conv2d_67[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_70 (BatchNo (None, 16, 16, 48)   144         conv2d_70[0][0]                  \n","__________________________________________________________________________________________________\n","activation_67 (Activation)      (None, 16, 16, 32)   0           batch_normalization_67[0][0]     \n","__________________________________________________________________________________________________\n","activation_70 (Activation)      (None, 16, 16, 48)   0           batch_normalization_70[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_66 (Conv2D)              (None, 16, 16, 32)   10240       block35_9_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_68 (Conv2D)              (None, 16, 16, 32)   9216        activation_67[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_71 (Conv2D)              (None, 16, 16, 64)   27648       activation_70[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_66 (BatchNo (None, 16, 16, 32)   96          conv2d_66[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_68 (BatchNo (None, 16, 16, 32)   96          conv2d_68[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_71 (BatchNo (None, 16, 16, 64)   192         conv2d_71[0][0]                  \n","__________________________________________________________________________________________________\n","activation_66 (Activation)      (None, 16, 16, 32)   0           batch_normalization_66[0][0]     \n","__________________________________________________________________________________________________\n","activation_68 (Activation)      (None, 16, 16, 32)   0           batch_normalization_68[0][0]     \n","__________________________________________________________________________________________________\n","activation_71 (Activation)      (None, 16, 16, 64)   0           batch_normalization_71[0][0]     \n","__________________________________________________________________________________________________\n","block35_10_mixed (Concatenate)  (None, 16, 16, 128)  0           activation_66[0][0]              \n","                                                                 activation_68[0][0]              \n","                                                                 activation_71[0][0]              \n","__________________________________________________________________________________________________\n","block35_10_conv (Conv2D)        (None, 16, 16, 320)  41280       block35_10_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block35_10 (Lambda)             (None, 16, 16, 320)  0           block35_9_ac[0][0]               \n","                                                                 block35_10_conv[0][0]            \n","__________________________________________________________________________________________________\n","block35_10_ac (Activation)      (None, 16, 16, 320)  0           block35_10[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_73 (Conv2D)              (None, 16, 16, 256)  81920       block35_10_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_73 (BatchNo (None, 16, 16, 256)  768         conv2d_73[0][0]                  \n","__________________________________________________________________________________________________\n","activation_73 (Activation)      (None, 16, 16, 256)  0           batch_normalization_73[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_74 (Conv2D)              (None, 16, 16, 256)  589824      activation_73[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_74 (BatchNo (None, 16, 16, 256)  768         conv2d_74[0][0]                  \n","__________________________________________________________________________________________________\n","activation_74 (Activation)      (None, 16, 16, 256)  0           batch_normalization_74[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_72 (Conv2D)              (None, 7, 7, 384)    1105920     block35_10_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_75 (Conv2D)              (None, 7, 7, 384)    884736      activation_74[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_72 (BatchNo (None, 7, 7, 384)    1152        conv2d_72[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_75 (BatchNo (None, 7, 7, 384)    1152        conv2d_75[0][0]                  \n","__________________________________________________________________________________________________\n","activation_72 (Activation)      (None, 7, 7, 384)    0           batch_normalization_72[0][0]     \n","__________________________________________________________________________________________________\n","activation_75 (Activation)      (None, 7, 7, 384)    0           batch_normalization_75[0][0]     \n","__________________________________________________________________________________________________\n","max_pooling2d_2 (MaxPooling2D)  (None, 7, 7, 320)    0           block35_10_ac[0][0]              \n","__________________________________________________________________________________________________\n","mixed_6a (Concatenate)          (None, 7, 7, 1088)   0           activation_72[0][0]              \n","                                                                 activation_75[0][0]              \n","                                                                 max_pooling2d_2[0][0]            \n","__________________________________________________________________________________________________\n","conv2d_77 (Conv2D)              (None, 7, 7, 128)    139264      mixed_6a[0][0]                   \n","__________________________________________________________________________________________________\n","batch_normalization_77 (BatchNo (None, 7, 7, 128)    384         conv2d_77[0][0]                  \n","__________________________________________________________________________________________________\n","activation_77 (Activation)      (None, 7, 7, 128)    0           batch_normalization_77[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_78 (Conv2D)              (None, 7, 7, 160)    143360      activation_77[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_78 (BatchNo (None, 7, 7, 160)    480         conv2d_78[0][0]                  \n","__________________________________________________________________________________________________\n","activation_78 (Activation)      (None, 7, 7, 160)    0           batch_normalization_78[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_76 (Conv2D)              (None, 7, 7, 192)    208896      mixed_6a[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_79 (Conv2D)              (None, 7, 7, 192)    215040      activation_78[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_76 (BatchNo (None, 7, 7, 192)    576         conv2d_76[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_79 (BatchNo (None, 7, 7, 192)    576         conv2d_79[0][0]                  \n","__________________________________________________________________________________________________\n","activation_76 (Activation)      (None, 7, 7, 192)    0           batch_normalization_76[0][0]     \n","__________________________________________________________________________________________________\n","activation_79 (Activation)      (None, 7, 7, 192)    0           batch_normalization_79[0][0]     \n","__________________________________________________________________________________________________\n","block17_1_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_76[0][0]              \n","                                                                 activation_79[0][0]              \n","__________________________________________________________________________________________________\n","block17_1_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_1_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_1 (Lambda)              (None, 7, 7, 1088)   0           mixed_6a[0][0]                   \n","                                                                 block17_1_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_1_ac (Activation)       (None, 7, 7, 1088)   0           block17_1[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_81 (Conv2D)              (None, 7, 7, 128)    139264      block17_1_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_81 (BatchNo (None, 7, 7, 128)    384         conv2d_81[0][0]                  \n","__________________________________________________________________________________________________\n","activation_81 (Activation)      (None, 7, 7, 128)    0           batch_normalization_81[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_82 (Conv2D)              (None, 7, 7, 160)    143360      activation_81[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_82 (BatchNo (None, 7, 7, 160)    480         conv2d_82[0][0]                  \n","__________________________________________________________________________________________________\n","activation_82 (Activation)      (None, 7, 7, 160)    0           batch_normalization_82[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_80 (Conv2D)              (None, 7, 7, 192)    208896      block17_1_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_83 (Conv2D)              (None, 7, 7, 192)    215040      activation_82[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_80 (BatchNo (None, 7, 7, 192)    576         conv2d_80[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_83 (BatchNo (None, 7, 7, 192)    576         conv2d_83[0][0]                  \n","__________________________________________________________________________________________________\n","activation_80 (Activation)      (None, 7, 7, 192)    0           batch_normalization_80[0][0]     \n","__________________________________________________________________________________________________\n","activation_83 (Activation)      (None, 7, 7, 192)    0           batch_normalization_83[0][0]     \n","__________________________________________________________________________________________________\n","block17_2_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_80[0][0]              \n","                                                                 activation_83[0][0]              \n","__________________________________________________________________________________________________\n","block17_2_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_2_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_2 (Lambda)              (None, 7, 7, 1088)   0           block17_1_ac[0][0]               \n","                                                                 block17_2_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_2_ac (Activation)       (None, 7, 7, 1088)   0           block17_2[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_85 (Conv2D)              (None, 7, 7, 128)    139264      block17_2_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_85 (BatchNo (None, 7, 7, 128)    384         conv2d_85[0][0]                  \n","__________________________________________________________________________________________________\n","activation_85 (Activation)      (None, 7, 7, 128)    0           batch_normalization_85[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_86 (Conv2D)              (None, 7, 7, 160)    143360      activation_85[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_86 (BatchNo (None, 7, 7, 160)    480         conv2d_86[0][0]                  \n","__________________________________________________________________________________________________\n","activation_86 (Activation)      (None, 7, 7, 160)    0           batch_normalization_86[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_84 (Conv2D)              (None, 7, 7, 192)    208896      block17_2_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_87 (Conv2D)              (None, 7, 7, 192)    215040      activation_86[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_84 (BatchNo (None, 7, 7, 192)    576         conv2d_84[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_87 (BatchNo (None, 7, 7, 192)    576         conv2d_87[0][0]                  \n","__________________________________________________________________________________________________\n","activation_84 (Activation)      (None, 7, 7, 192)    0           batch_normalization_84[0][0]     \n","__________________________________________________________________________________________________\n","activation_87 (Activation)      (None, 7, 7, 192)    0           batch_normalization_87[0][0]     \n","__________________________________________________________________________________________________\n","block17_3_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_84[0][0]              \n","                                                                 activation_87[0][0]              \n","__________________________________________________________________________________________________\n","block17_3_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_3_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_3 (Lambda)              (None, 7, 7, 1088)   0           block17_2_ac[0][0]               \n","                                                                 block17_3_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_3_ac (Activation)       (None, 7, 7, 1088)   0           block17_3[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_89 (Conv2D)              (None, 7, 7, 128)    139264      block17_3_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_89 (BatchNo (None, 7, 7, 128)    384         conv2d_89[0][0]                  \n","__________________________________________________________________________________________________\n","activation_89 (Activation)      (None, 7, 7, 128)    0           batch_normalization_89[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_90 (Conv2D)              (None, 7, 7, 160)    143360      activation_89[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_90 (BatchNo (None, 7, 7, 160)    480         conv2d_90[0][0]                  \n","__________________________________________________________________________________________________\n","activation_90 (Activation)      (None, 7, 7, 160)    0           batch_normalization_90[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_88 (Conv2D)              (None, 7, 7, 192)    208896      block17_3_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_91 (Conv2D)              (None, 7, 7, 192)    215040      activation_90[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_88 (BatchNo (None, 7, 7, 192)    576         conv2d_88[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_91 (BatchNo (None, 7, 7, 192)    576         conv2d_91[0][0]                  \n","__________________________________________________________________________________________________\n","activation_88 (Activation)      (None, 7, 7, 192)    0           batch_normalization_88[0][0]     \n","__________________________________________________________________________________________________\n","activation_91 (Activation)      (None, 7, 7, 192)    0           batch_normalization_91[0][0]     \n","__________________________________________________________________________________________________\n","block17_4_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_88[0][0]              \n","                                                                 activation_91[0][0]              \n","__________________________________________________________________________________________________\n","block17_4_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_4_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_4 (Lambda)              (None, 7, 7, 1088)   0           block17_3_ac[0][0]               \n","                                                                 block17_4_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_4_ac (Activation)       (None, 7, 7, 1088)   0           block17_4[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_93 (Conv2D)              (None, 7, 7, 128)    139264      block17_4_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_93 (BatchNo (None, 7, 7, 128)    384         conv2d_93[0][0]                  \n","__________________________________________________________________________________________________\n","activation_93 (Activation)      (None, 7, 7, 128)    0           batch_normalization_93[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_94 (Conv2D)              (None, 7, 7, 160)    143360      activation_93[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_94 (BatchNo (None, 7, 7, 160)    480         conv2d_94[0][0]                  \n","__________________________________________________________________________________________________\n","activation_94 (Activation)      (None, 7, 7, 160)    0           batch_normalization_94[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_92 (Conv2D)              (None, 7, 7, 192)    208896      block17_4_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_95 (Conv2D)              (None, 7, 7, 192)    215040      activation_94[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_92 (BatchNo (None, 7, 7, 192)    576         conv2d_92[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_95 (BatchNo (None, 7, 7, 192)    576         conv2d_95[0][0]                  \n","__________________________________________________________________________________________________\n","activation_92 (Activation)      (None, 7, 7, 192)    0           batch_normalization_92[0][0]     \n","__________________________________________________________________________________________________\n","activation_95 (Activation)      (None, 7, 7, 192)    0           batch_normalization_95[0][0]     \n","__________________________________________________________________________________________________\n","block17_5_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_92[0][0]              \n","                                                                 activation_95[0][0]              \n","__________________________________________________________________________________________________\n","block17_5_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_5_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_5 (Lambda)              (None, 7, 7, 1088)   0           block17_4_ac[0][0]               \n","                                                                 block17_5_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_5_ac (Activation)       (None, 7, 7, 1088)   0           block17_5[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_97 (Conv2D)              (None, 7, 7, 128)    139264      block17_5_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_97 (BatchNo (None, 7, 7, 128)    384         conv2d_97[0][0]                  \n","__________________________________________________________________________________________________\n","activation_97 (Activation)      (None, 7, 7, 128)    0           batch_normalization_97[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_98 (Conv2D)              (None, 7, 7, 160)    143360      activation_97[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_98 (BatchNo (None, 7, 7, 160)    480         conv2d_98[0][0]                  \n","__________________________________________________________________________________________________\n","activation_98 (Activation)      (None, 7, 7, 160)    0           batch_normalization_98[0][0]     \n","__________________________________________________________________________________________________\n","conv2d_96 (Conv2D)              (None, 7, 7, 192)    208896      block17_5_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_99 (Conv2D)              (None, 7, 7, 192)    215040      activation_98[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_96 (BatchNo (None, 7, 7, 192)    576         conv2d_96[0][0]                  \n","__________________________________________________________________________________________________\n","batch_normalization_99 (BatchNo (None, 7, 7, 192)    576         conv2d_99[0][0]                  \n","__________________________________________________________________________________________________\n","activation_96 (Activation)      (None, 7, 7, 192)    0           batch_normalization_96[0][0]     \n","__________________________________________________________________________________________________\n","activation_99 (Activation)      (None, 7, 7, 192)    0           batch_normalization_99[0][0]     \n","__________________________________________________________________________________________________\n","block17_6_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_96[0][0]              \n","                                                                 activation_99[0][0]              \n","__________________________________________________________________________________________________\n","block17_6_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_6_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_6 (Lambda)              (None, 7, 7, 1088)   0           block17_5_ac[0][0]               \n","                                                                 block17_6_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_6_ac (Activation)       (None, 7, 7, 1088)   0           block17_6[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_101 (Conv2D)             (None, 7, 7, 128)    139264      block17_6_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_101 (BatchN (None, 7, 7, 128)    384         conv2d_101[0][0]                 \n","__________________________________________________________________________________________________\n","activation_101 (Activation)     (None, 7, 7, 128)    0           batch_normalization_101[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_102 (Conv2D)             (None, 7, 7, 160)    143360      activation_101[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_102 (BatchN (None, 7, 7, 160)    480         conv2d_102[0][0]                 \n","__________________________________________________________________________________________________\n","activation_102 (Activation)     (None, 7, 7, 160)    0           batch_normalization_102[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_100 (Conv2D)             (None, 7, 7, 192)    208896      block17_6_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_103 (Conv2D)             (None, 7, 7, 192)    215040      activation_102[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_100 (BatchN (None, 7, 7, 192)    576         conv2d_100[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_103 (BatchN (None, 7, 7, 192)    576         conv2d_103[0][0]                 \n","__________________________________________________________________________________________________\n","activation_100 (Activation)     (None, 7, 7, 192)    0           batch_normalization_100[0][0]    \n","__________________________________________________________________________________________________\n","activation_103 (Activation)     (None, 7, 7, 192)    0           batch_normalization_103[0][0]    \n","__________________________________________________________________________________________________\n","block17_7_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_100[0][0]             \n","                                                                 activation_103[0][0]             \n","__________________________________________________________________________________________________\n","block17_7_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_7_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_7 (Lambda)              (None, 7, 7, 1088)   0           block17_6_ac[0][0]               \n","                                                                 block17_7_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_7_ac (Activation)       (None, 7, 7, 1088)   0           block17_7[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_105 (Conv2D)             (None, 7, 7, 128)    139264      block17_7_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_105 (BatchN (None, 7, 7, 128)    384         conv2d_105[0][0]                 \n","__________________________________________________________________________________________________\n","activation_105 (Activation)     (None, 7, 7, 128)    0           batch_normalization_105[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_106 (Conv2D)             (None, 7, 7, 160)    143360      activation_105[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_106 (BatchN (None, 7, 7, 160)    480         conv2d_106[0][0]                 \n","__________________________________________________________________________________________________\n","activation_106 (Activation)     (None, 7, 7, 160)    0           batch_normalization_106[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_104 (Conv2D)             (None, 7, 7, 192)    208896      block17_7_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_107 (Conv2D)             (None, 7, 7, 192)    215040      activation_106[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_104 (BatchN (None, 7, 7, 192)    576         conv2d_104[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_107 (BatchN (None, 7, 7, 192)    576         conv2d_107[0][0]                 \n","__________________________________________________________________________________________________\n","activation_104 (Activation)     (None, 7, 7, 192)    0           batch_normalization_104[0][0]    \n","__________________________________________________________________________________________________\n","activation_107 (Activation)     (None, 7, 7, 192)    0           batch_normalization_107[0][0]    \n","__________________________________________________________________________________________________\n","block17_8_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_104[0][0]             \n","                                                                 activation_107[0][0]             \n","__________________________________________________________________________________________________\n","block17_8_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_8_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_8 (Lambda)              (None, 7, 7, 1088)   0           block17_7_ac[0][0]               \n","                                                                 block17_8_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_8_ac (Activation)       (None, 7, 7, 1088)   0           block17_8[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_109 (Conv2D)             (None, 7, 7, 128)    139264      block17_8_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_109 (BatchN (None, 7, 7, 128)    384         conv2d_109[0][0]                 \n","__________________________________________________________________________________________________\n","activation_109 (Activation)     (None, 7, 7, 128)    0           batch_normalization_109[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_110 (Conv2D)             (None, 7, 7, 160)    143360      activation_109[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_110 (BatchN (None, 7, 7, 160)    480         conv2d_110[0][0]                 \n","__________________________________________________________________________________________________\n","activation_110 (Activation)     (None, 7, 7, 160)    0           batch_normalization_110[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_108 (Conv2D)             (None, 7, 7, 192)    208896      block17_8_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_111 (Conv2D)             (None, 7, 7, 192)    215040      activation_110[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_108 (BatchN (None, 7, 7, 192)    576         conv2d_108[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_111 (BatchN (None, 7, 7, 192)    576         conv2d_111[0][0]                 \n","__________________________________________________________________________________________________\n","activation_108 (Activation)     (None, 7, 7, 192)    0           batch_normalization_108[0][0]    \n","__________________________________________________________________________________________________\n","activation_111 (Activation)     (None, 7, 7, 192)    0           batch_normalization_111[0][0]    \n","__________________________________________________________________________________________________\n","block17_9_mixed (Concatenate)   (None, 7, 7, 384)    0           activation_108[0][0]             \n","                                                                 activation_111[0][0]             \n","__________________________________________________________________________________________________\n","block17_9_conv (Conv2D)         (None, 7, 7, 1088)   418880      block17_9_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block17_9 (Lambda)              (None, 7, 7, 1088)   0           block17_8_ac[0][0]               \n","                                                                 block17_9_conv[0][0]             \n","__________________________________________________________________________________________________\n","block17_9_ac (Activation)       (None, 7, 7, 1088)   0           block17_9[0][0]                  \n","__________________________________________________________________________________________________\n","conv2d_113 (Conv2D)             (None, 7, 7, 128)    139264      block17_9_ac[0][0]               \n","__________________________________________________________________________________________________\n","batch_normalization_113 (BatchN (None, 7, 7, 128)    384         conv2d_113[0][0]                 \n","__________________________________________________________________________________________________\n","activation_113 (Activation)     (None, 7, 7, 128)    0           batch_normalization_113[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_114 (Conv2D)             (None, 7, 7, 160)    143360      activation_113[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_114 (BatchN (None, 7, 7, 160)    480         conv2d_114[0][0]                 \n","__________________________________________________________________________________________________\n","activation_114 (Activation)     (None, 7, 7, 160)    0           batch_normalization_114[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_112 (Conv2D)             (None, 7, 7, 192)    208896      block17_9_ac[0][0]               \n","__________________________________________________________________________________________________\n","conv2d_115 (Conv2D)             (None, 7, 7, 192)    215040      activation_114[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_112 (BatchN (None, 7, 7, 192)    576         conv2d_112[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_115 (BatchN (None, 7, 7, 192)    576         conv2d_115[0][0]                 \n","__________________________________________________________________________________________________\n","activation_112 (Activation)     (None, 7, 7, 192)    0           batch_normalization_112[0][0]    \n","__________________________________________________________________________________________________\n","activation_115 (Activation)     (None, 7, 7, 192)    0           batch_normalization_115[0][0]    \n","__________________________________________________________________________________________________\n","block17_10_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_112[0][0]             \n","                                                                 activation_115[0][0]             \n","__________________________________________________________________________________________________\n","block17_10_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_10_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_10 (Lambda)             (None, 7, 7, 1088)   0           block17_9_ac[0][0]               \n","                                                                 block17_10_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_10_ac (Activation)      (None, 7, 7, 1088)   0           block17_10[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_117 (Conv2D)             (None, 7, 7, 128)    139264      block17_10_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_117 (BatchN (None, 7, 7, 128)    384         conv2d_117[0][0]                 \n","__________________________________________________________________________________________________\n","activation_117 (Activation)     (None, 7, 7, 128)    0           batch_normalization_117[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_118 (Conv2D)             (None, 7, 7, 160)    143360      activation_117[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_118 (BatchN (None, 7, 7, 160)    480         conv2d_118[0][0]                 \n","__________________________________________________________________________________________________\n","activation_118 (Activation)     (None, 7, 7, 160)    0           batch_normalization_118[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_116 (Conv2D)             (None, 7, 7, 192)    208896      block17_10_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_119 (Conv2D)             (None, 7, 7, 192)    215040      activation_118[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_116 (BatchN (None, 7, 7, 192)    576         conv2d_116[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_119 (BatchN (None, 7, 7, 192)    576         conv2d_119[0][0]                 \n","__________________________________________________________________________________________________\n","activation_116 (Activation)     (None, 7, 7, 192)    0           batch_normalization_116[0][0]    \n","__________________________________________________________________________________________________\n","activation_119 (Activation)     (None, 7, 7, 192)    0           batch_normalization_119[0][0]    \n","__________________________________________________________________________________________________\n","block17_11_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_116[0][0]             \n","                                                                 activation_119[0][0]             \n","__________________________________________________________________________________________________\n","block17_11_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_11_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_11 (Lambda)             (None, 7, 7, 1088)   0           block17_10_ac[0][0]              \n","                                                                 block17_11_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_11_ac (Activation)      (None, 7, 7, 1088)   0           block17_11[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_121 (Conv2D)             (None, 7, 7, 128)    139264      block17_11_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_121 (BatchN (None, 7, 7, 128)    384         conv2d_121[0][0]                 \n","__________________________________________________________________________________________________\n","activation_121 (Activation)     (None, 7, 7, 128)    0           batch_normalization_121[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_122 (Conv2D)             (None, 7, 7, 160)    143360      activation_121[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_122 (BatchN (None, 7, 7, 160)    480         conv2d_122[0][0]                 \n","__________________________________________________________________________________________________\n","activation_122 (Activation)     (None, 7, 7, 160)    0           batch_normalization_122[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_120 (Conv2D)             (None, 7, 7, 192)    208896      block17_11_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_123 (Conv2D)             (None, 7, 7, 192)    215040      activation_122[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_120 (BatchN (None, 7, 7, 192)    576         conv2d_120[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_123 (BatchN (None, 7, 7, 192)    576         conv2d_123[0][0]                 \n","__________________________________________________________________________________________________\n","activation_120 (Activation)     (None, 7, 7, 192)    0           batch_normalization_120[0][0]    \n","__________________________________________________________________________________________________\n","activation_123 (Activation)     (None, 7, 7, 192)    0           batch_normalization_123[0][0]    \n","__________________________________________________________________________________________________\n","block17_12_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_120[0][0]             \n","                                                                 activation_123[0][0]             \n","__________________________________________________________________________________________________\n","block17_12_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_12_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_12 (Lambda)             (None, 7, 7, 1088)   0           block17_11_ac[0][0]              \n","                                                                 block17_12_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_12_ac (Activation)      (None, 7, 7, 1088)   0           block17_12[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_125 (Conv2D)             (None, 7, 7, 128)    139264      block17_12_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_125 (BatchN (None, 7, 7, 128)    384         conv2d_125[0][0]                 \n","__________________________________________________________________________________________________\n","activation_125 (Activation)     (None, 7, 7, 128)    0           batch_normalization_125[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_126 (Conv2D)             (None, 7, 7, 160)    143360      activation_125[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_126 (BatchN (None, 7, 7, 160)    480         conv2d_126[0][0]                 \n","__________________________________________________________________________________________________\n","activation_126 (Activation)     (None, 7, 7, 160)    0           batch_normalization_126[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_124 (Conv2D)             (None, 7, 7, 192)    208896      block17_12_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_127 (Conv2D)             (None, 7, 7, 192)    215040      activation_126[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_124 (BatchN (None, 7, 7, 192)    576         conv2d_124[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_127 (BatchN (None, 7, 7, 192)    576         conv2d_127[0][0]                 \n","__________________________________________________________________________________________________\n","activation_124 (Activation)     (None, 7, 7, 192)    0           batch_normalization_124[0][0]    \n","__________________________________________________________________________________________________\n","activation_127 (Activation)     (None, 7, 7, 192)    0           batch_normalization_127[0][0]    \n","__________________________________________________________________________________________________\n","block17_13_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_124[0][0]             \n","                                                                 activation_127[0][0]             \n","__________________________________________________________________________________________________\n","block17_13_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_13_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_13 (Lambda)             (None, 7, 7, 1088)   0           block17_12_ac[0][0]              \n","                                                                 block17_13_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_13_ac (Activation)      (None, 7, 7, 1088)   0           block17_13[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_129 (Conv2D)             (None, 7, 7, 128)    139264      block17_13_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_129 (BatchN (None, 7, 7, 128)    384         conv2d_129[0][0]                 \n","__________________________________________________________________________________________________\n","activation_129 (Activation)     (None, 7, 7, 128)    0           batch_normalization_129[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_130 (Conv2D)             (None, 7, 7, 160)    143360      activation_129[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_130 (BatchN (None, 7, 7, 160)    480         conv2d_130[0][0]                 \n","__________________________________________________________________________________________________\n","activation_130 (Activation)     (None, 7, 7, 160)    0           batch_normalization_130[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_128 (Conv2D)             (None, 7, 7, 192)    208896      block17_13_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_131 (Conv2D)             (None, 7, 7, 192)    215040      activation_130[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_128 (BatchN (None, 7, 7, 192)    576         conv2d_128[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_131 (BatchN (None, 7, 7, 192)    576         conv2d_131[0][0]                 \n","__________________________________________________________________________________________________\n","activation_128 (Activation)     (None, 7, 7, 192)    0           batch_normalization_128[0][0]    \n","__________________________________________________________________________________________________\n","activation_131 (Activation)     (None, 7, 7, 192)    0           batch_normalization_131[0][0]    \n","__________________________________________________________________________________________________\n","block17_14_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_128[0][0]             \n","                                                                 activation_131[0][0]             \n","__________________________________________________________________________________________________\n","block17_14_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_14_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_14 (Lambda)             (None, 7, 7, 1088)   0           block17_13_ac[0][0]              \n","                                                                 block17_14_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_14_ac (Activation)      (None, 7, 7, 1088)   0           block17_14[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_133 (Conv2D)             (None, 7, 7, 128)    139264      block17_14_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_133 (BatchN (None, 7, 7, 128)    384         conv2d_133[0][0]                 \n","__________________________________________________________________________________________________\n","activation_133 (Activation)     (None, 7, 7, 128)    0           batch_normalization_133[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_134 (Conv2D)             (None, 7, 7, 160)    143360      activation_133[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_134 (BatchN (None, 7, 7, 160)    480         conv2d_134[0][0]                 \n","__________________________________________________________________________________________________\n","activation_134 (Activation)     (None, 7, 7, 160)    0           batch_normalization_134[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_132 (Conv2D)             (None, 7, 7, 192)    208896      block17_14_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_135 (Conv2D)             (None, 7, 7, 192)    215040      activation_134[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_132 (BatchN (None, 7, 7, 192)    576         conv2d_132[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_135 (BatchN (None, 7, 7, 192)    576         conv2d_135[0][0]                 \n","__________________________________________________________________________________________________\n","activation_132 (Activation)     (None, 7, 7, 192)    0           batch_normalization_132[0][0]    \n","__________________________________________________________________________________________________\n","activation_135 (Activation)     (None, 7, 7, 192)    0           batch_normalization_135[0][0]    \n","__________________________________________________________________________________________________\n","block17_15_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_132[0][0]             \n","                                                                 activation_135[0][0]             \n","__________________________________________________________________________________________________\n","block17_15_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_15_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_15 (Lambda)             (None, 7, 7, 1088)   0           block17_14_ac[0][0]              \n","                                                                 block17_15_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_15_ac (Activation)      (None, 7, 7, 1088)   0           block17_15[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_137 (Conv2D)             (None, 7, 7, 128)    139264      block17_15_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_137 (BatchN (None, 7, 7, 128)    384         conv2d_137[0][0]                 \n","__________________________________________________________________________________________________\n","activation_137 (Activation)     (None, 7, 7, 128)    0           batch_normalization_137[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_138 (Conv2D)             (None, 7, 7, 160)    143360      activation_137[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_138 (BatchN (None, 7, 7, 160)    480         conv2d_138[0][0]                 \n","__________________________________________________________________________________________________\n","activation_138 (Activation)     (None, 7, 7, 160)    0           batch_normalization_138[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_136 (Conv2D)             (None, 7, 7, 192)    208896      block17_15_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_139 (Conv2D)             (None, 7, 7, 192)    215040      activation_138[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_136 (BatchN (None, 7, 7, 192)    576         conv2d_136[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_139 (BatchN (None, 7, 7, 192)    576         conv2d_139[0][0]                 \n","__________________________________________________________________________________________________\n","activation_136 (Activation)     (None, 7, 7, 192)    0           batch_normalization_136[0][0]    \n","__________________________________________________________________________________________________\n","activation_139 (Activation)     (None, 7, 7, 192)    0           batch_normalization_139[0][0]    \n","__________________________________________________________________________________________________\n","block17_16_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_136[0][0]             \n","                                                                 activation_139[0][0]             \n","__________________________________________________________________________________________________\n","block17_16_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_16_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_16 (Lambda)             (None, 7, 7, 1088)   0           block17_15_ac[0][0]              \n","                                                                 block17_16_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_16_ac (Activation)      (None, 7, 7, 1088)   0           block17_16[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_141 (Conv2D)             (None, 7, 7, 128)    139264      block17_16_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_141 (BatchN (None, 7, 7, 128)    384         conv2d_141[0][0]                 \n","__________________________________________________________________________________________________\n","activation_141 (Activation)     (None, 7, 7, 128)    0           batch_normalization_141[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_142 (Conv2D)             (None, 7, 7, 160)    143360      activation_141[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_142 (BatchN (None, 7, 7, 160)    480         conv2d_142[0][0]                 \n","__________________________________________________________________________________________________\n","activation_142 (Activation)     (None, 7, 7, 160)    0           batch_normalization_142[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_140 (Conv2D)             (None, 7, 7, 192)    208896      block17_16_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_143 (Conv2D)             (None, 7, 7, 192)    215040      activation_142[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_140 (BatchN (None, 7, 7, 192)    576         conv2d_140[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_143 (BatchN (None, 7, 7, 192)    576         conv2d_143[0][0]                 \n","__________________________________________________________________________________________________\n","activation_140 (Activation)     (None, 7, 7, 192)    0           batch_normalization_140[0][0]    \n","__________________________________________________________________________________________________\n","activation_143 (Activation)     (None, 7, 7, 192)    0           batch_normalization_143[0][0]    \n","__________________________________________________________________________________________________\n","block17_17_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_140[0][0]             \n","                                                                 activation_143[0][0]             \n","__________________________________________________________________________________________________\n","block17_17_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_17_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_17 (Lambda)             (None, 7, 7, 1088)   0           block17_16_ac[0][0]              \n","                                                                 block17_17_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_17_ac (Activation)      (None, 7, 7, 1088)   0           block17_17[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_145 (Conv2D)             (None, 7, 7, 128)    139264      block17_17_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_145 (BatchN (None, 7, 7, 128)    384         conv2d_145[0][0]                 \n","__________________________________________________________________________________________________\n","activation_145 (Activation)     (None, 7, 7, 128)    0           batch_normalization_145[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_146 (Conv2D)             (None, 7, 7, 160)    143360      activation_145[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_146 (BatchN (None, 7, 7, 160)    480         conv2d_146[0][0]                 \n","__________________________________________________________________________________________________\n","activation_146 (Activation)     (None, 7, 7, 160)    0           batch_normalization_146[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_144 (Conv2D)             (None, 7, 7, 192)    208896      block17_17_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_147 (Conv2D)             (None, 7, 7, 192)    215040      activation_146[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_144 (BatchN (None, 7, 7, 192)    576         conv2d_144[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_147 (BatchN (None, 7, 7, 192)    576         conv2d_147[0][0]                 \n","__________________________________________________________________________________________________\n","activation_144 (Activation)     (None, 7, 7, 192)    0           batch_normalization_144[0][0]    \n","__________________________________________________________________________________________________\n","activation_147 (Activation)     (None, 7, 7, 192)    0           batch_normalization_147[0][0]    \n","__________________________________________________________________________________________________\n","block17_18_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_144[0][0]             \n","                                                                 activation_147[0][0]             \n","__________________________________________________________________________________________________\n","block17_18_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_18_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_18 (Lambda)             (None, 7, 7, 1088)   0           block17_17_ac[0][0]              \n","                                                                 block17_18_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_18_ac (Activation)      (None, 7, 7, 1088)   0           block17_18[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_149 (Conv2D)             (None, 7, 7, 128)    139264      block17_18_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_149 (BatchN (None, 7, 7, 128)    384         conv2d_149[0][0]                 \n","__________________________________________________________________________________________________\n","activation_149 (Activation)     (None, 7, 7, 128)    0           batch_normalization_149[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_150 (Conv2D)             (None, 7, 7, 160)    143360      activation_149[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_150 (BatchN (None, 7, 7, 160)    480         conv2d_150[0][0]                 \n","__________________________________________________________________________________________________\n","activation_150 (Activation)     (None, 7, 7, 160)    0           batch_normalization_150[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_148 (Conv2D)             (None, 7, 7, 192)    208896      block17_18_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_151 (Conv2D)             (None, 7, 7, 192)    215040      activation_150[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_148 (BatchN (None, 7, 7, 192)    576         conv2d_148[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_151 (BatchN (None, 7, 7, 192)    576         conv2d_151[0][0]                 \n","__________________________________________________________________________________________________\n","activation_148 (Activation)     (None, 7, 7, 192)    0           batch_normalization_148[0][0]    \n","__________________________________________________________________________________________________\n","activation_151 (Activation)     (None, 7, 7, 192)    0           batch_normalization_151[0][0]    \n","__________________________________________________________________________________________________\n","block17_19_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_148[0][0]             \n","                                                                 activation_151[0][0]             \n","__________________________________________________________________________________________________\n","block17_19_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_19_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_19 (Lambda)             (None, 7, 7, 1088)   0           block17_18_ac[0][0]              \n","                                                                 block17_19_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_19_ac (Activation)      (None, 7, 7, 1088)   0           block17_19[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_153 (Conv2D)             (None, 7, 7, 128)    139264      block17_19_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_153 (BatchN (None, 7, 7, 128)    384         conv2d_153[0][0]                 \n","__________________________________________________________________________________________________\n","activation_153 (Activation)     (None, 7, 7, 128)    0           batch_normalization_153[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_154 (Conv2D)             (None, 7, 7, 160)    143360      activation_153[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_154 (BatchN (None, 7, 7, 160)    480         conv2d_154[0][0]                 \n","__________________________________________________________________________________________________\n","activation_154 (Activation)     (None, 7, 7, 160)    0           batch_normalization_154[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_152 (Conv2D)             (None, 7, 7, 192)    208896      block17_19_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_155 (Conv2D)             (None, 7, 7, 192)    215040      activation_154[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_152 (BatchN (None, 7, 7, 192)    576         conv2d_152[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_155 (BatchN (None, 7, 7, 192)    576         conv2d_155[0][0]                 \n","__________________________________________________________________________________________________\n","activation_152 (Activation)     (None, 7, 7, 192)    0           batch_normalization_152[0][0]    \n","__________________________________________________________________________________________________\n","activation_155 (Activation)     (None, 7, 7, 192)    0           batch_normalization_155[0][0]    \n","__________________________________________________________________________________________________\n","block17_20_mixed (Concatenate)  (None, 7, 7, 384)    0           activation_152[0][0]             \n","                                                                 activation_155[0][0]             \n","__________________________________________________________________________________________________\n","block17_20_conv (Conv2D)        (None, 7, 7, 1088)   418880      block17_20_mixed[0][0]           \n","__________________________________________________________________________________________________\n","block17_20 (Lambda)             (None, 7, 7, 1088)   0           block17_19_ac[0][0]              \n","                                                                 block17_20_conv[0][0]            \n","__________________________________________________________________________________________________\n","block17_20_ac (Activation)      (None, 7, 7, 1088)   0           block17_20[0][0]                 \n","__________________________________________________________________________________________________\n","conv2d_160 (Conv2D)             (None, 7, 7, 256)    278528      block17_20_ac[0][0]              \n","__________________________________________________________________________________________________\n","batch_normalization_160 (BatchN (None, 7, 7, 256)    768         conv2d_160[0][0]                 \n","__________________________________________________________________________________________________\n","activation_160 (Activation)     (None, 7, 7, 256)    0           batch_normalization_160[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_156 (Conv2D)             (None, 7, 7, 256)    278528      block17_20_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_158 (Conv2D)             (None, 7, 7, 256)    278528      block17_20_ac[0][0]              \n","__________________________________________________________________________________________________\n","conv2d_161 (Conv2D)             (None, 7, 7, 288)    663552      activation_160[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_156 (BatchN (None, 7, 7, 256)    768         conv2d_156[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_158 (BatchN (None, 7, 7, 256)    768         conv2d_158[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_161 (BatchN (None, 7, 7, 288)    864         conv2d_161[0][0]                 \n","__________________________________________________________________________________________________\n","activation_156 (Activation)     (None, 7, 7, 256)    0           batch_normalization_156[0][0]    \n","__________________________________________________________________________________________________\n","activation_158 (Activation)     (None, 7, 7, 256)    0           batch_normalization_158[0][0]    \n","__________________________________________________________________________________________________\n","activation_161 (Activation)     (None, 7, 7, 288)    0           batch_normalization_161[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_157 (Conv2D)             (None, 3, 3, 384)    884736      activation_156[0][0]             \n","__________________________________________________________________________________________________\n","conv2d_159 (Conv2D)             (None, 3, 3, 288)    663552      activation_158[0][0]             \n","__________________________________________________________________________________________________\n","conv2d_162 (Conv2D)             (None, 3, 3, 320)    829440      activation_161[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_157 (BatchN (None, 3, 3, 384)    1152        conv2d_157[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_159 (BatchN (None, 3, 3, 288)    864         conv2d_159[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_162 (BatchN (None, 3, 3, 320)    960         conv2d_162[0][0]                 \n","__________________________________________________________________________________________________\n","activation_157 (Activation)     (None, 3, 3, 384)    0           batch_normalization_157[0][0]    \n","__________________________________________________________________________________________________\n","activation_159 (Activation)     (None, 3, 3, 288)    0           batch_normalization_159[0][0]    \n","__________________________________________________________________________________________________\n","activation_162 (Activation)     (None, 3, 3, 320)    0           batch_normalization_162[0][0]    \n","__________________________________________________________________________________________________\n","max_pooling2d_3 (MaxPooling2D)  (None, 3, 3, 1088)   0           block17_20_ac[0][0]              \n","__________________________________________________________________________________________________\n","mixed_7a (Concatenate)          (None, 3, 3, 2080)   0           activation_157[0][0]             \n","                                                                 activation_159[0][0]             \n","                                                                 activation_162[0][0]             \n","                                                                 max_pooling2d_3[0][0]            \n","__________________________________________________________________________________________________\n","conv2d_164 (Conv2D)             (None, 3, 3, 192)    399360      mixed_7a[0][0]                   \n","__________________________________________________________________________________________________\n","batch_normalization_164 (BatchN (None, 3, 3, 192)    576         conv2d_164[0][0]                 \n","__________________________________________________________________________________________________\n","activation_164 (Activation)     (None, 3, 3, 192)    0           batch_normalization_164[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_165 (Conv2D)             (None, 3, 3, 224)    129024      activation_164[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_165 (BatchN (None, 3, 3, 224)    672         conv2d_165[0][0]                 \n","__________________________________________________________________________________________________\n","activation_165 (Activation)     (None, 3, 3, 224)    0           batch_normalization_165[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_163 (Conv2D)             (None, 3, 3, 192)    399360      mixed_7a[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_166 (Conv2D)             (None, 3, 3, 256)    172032      activation_165[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_163 (BatchN (None, 3, 3, 192)    576         conv2d_163[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_166 (BatchN (None, 3, 3, 256)    768         conv2d_166[0][0]                 \n","__________________________________________________________________________________________________\n","activation_163 (Activation)     (None, 3, 3, 192)    0           batch_normalization_163[0][0]    \n","__________________________________________________________________________________________________\n","activation_166 (Activation)     (None, 3, 3, 256)    0           batch_normalization_166[0][0]    \n","__________________________________________________________________________________________________\n","block8_1_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_163[0][0]             \n","                                                                 activation_166[0][0]             \n","__________________________________________________________________________________________________\n","block8_1_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_1_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_1 (Lambda)               (None, 3, 3, 2080)   0           mixed_7a[0][0]                   \n","                                                                 block8_1_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_1_ac (Activation)        (None, 3, 3, 2080)   0           block8_1[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_168 (Conv2D)             (None, 3, 3, 192)    399360      block8_1_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_168 (BatchN (None, 3, 3, 192)    576         conv2d_168[0][0]                 \n","__________________________________________________________________________________________________\n","activation_168 (Activation)     (None, 3, 3, 192)    0           batch_normalization_168[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_169 (Conv2D)             (None, 3, 3, 224)    129024      activation_168[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_169 (BatchN (None, 3, 3, 224)    672         conv2d_169[0][0]                 \n","__________________________________________________________________________________________________\n","activation_169 (Activation)     (None, 3, 3, 224)    0           batch_normalization_169[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_167 (Conv2D)             (None, 3, 3, 192)    399360      block8_1_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_170 (Conv2D)             (None, 3, 3, 256)    172032      activation_169[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_167 (BatchN (None, 3, 3, 192)    576         conv2d_167[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_170 (BatchN (None, 3, 3, 256)    768         conv2d_170[0][0]                 \n","__________________________________________________________________________________________________\n","activation_167 (Activation)     (None, 3, 3, 192)    0           batch_normalization_167[0][0]    \n","__________________________________________________________________________________________________\n","activation_170 (Activation)     (None, 3, 3, 256)    0           batch_normalization_170[0][0]    \n","__________________________________________________________________________________________________\n","block8_2_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_167[0][0]             \n","                                                                 activation_170[0][0]             \n","__________________________________________________________________________________________________\n","block8_2_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_2_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_2 (Lambda)               (None, 3, 3, 2080)   0           block8_1_ac[0][0]                \n","                                                                 block8_2_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_2_ac (Activation)        (None, 3, 3, 2080)   0           block8_2[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_172 (Conv2D)             (None, 3, 3, 192)    399360      block8_2_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_172 (BatchN (None, 3, 3, 192)    576         conv2d_172[0][0]                 \n","__________________________________________________________________________________________________\n","activation_172 (Activation)     (None, 3, 3, 192)    0           batch_normalization_172[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_173 (Conv2D)             (None, 3, 3, 224)    129024      activation_172[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_173 (BatchN (None, 3, 3, 224)    672         conv2d_173[0][0]                 \n","__________________________________________________________________________________________________\n","activation_173 (Activation)     (None, 3, 3, 224)    0           batch_normalization_173[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_171 (Conv2D)             (None, 3, 3, 192)    399360      block8_2_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_174 (Conv2D)             (None, 3, 3, 256)    172032      activation_173[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_171 (BatchN (None, 3, 3, 192)    576         conv2d_171[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_174 (BatchN (None, 3, 3, 256)    768         conv2d_174[0][0]                 \n","__________________________________________________________________________________________________\n","activation_171 (Activation)     (None, 3, 3, 192)    0           batch_normalization_171[0][0]    \n","__________________________________________________________________________________________________\n","activation_174 (Activation)     (None, 3, 3, 256)    0           batch_normalization_174[0][0]    \n","__________________________________________________________________________________________________\n","block8_3_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_171[0][0]             \n","                                                                 activation_174[0][0]             \n","__________________________________________________________________________________________________\n","block8_3_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_3_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_3 (Lambda)               (None, 3, 3, 2080)   0           block8_2_ac[0][0]                \n","                                                                 block8_3_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_3_ac (Activation)        (None, 3, 3, 2080)   0           block8_3[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_176 (Conv2D)             (None, 3, 3, 192)    399360      block8_3_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_176 (BatchN (None, 3, 3, 192)    576         conv2d_176[0][0]                 \n","__________________________________________________________________________________________________\n","activation_176 (Activation)     (None, 3, 3, 192)    0           batch_normalization_176[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_177 (Conv2D)             (None, 3, 3, 224)    129024      activation_176[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_177 (BatchN (None, 3, 3, 224)    672         conv2d_177[0][0]                 \n","__________________________________________________________________________________________________\n","activation_177 (Activation)     (None, 3, 3, 224)    0           batch_normalization_177[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_175 (Conv2D)             (None, 3, 3, 192)    399360      block8_3_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_178 (Conv2D)             (None, 3, 3, 256)    172032      activation_177[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_175 (BatchN (None, 3, 3, 192)    576         conv2d_175[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_178 (BatchN (None, 3, 3, 256)    768         conv2d_178[0][0]                 \n","__________________________________________________________________________________________________\n","activation_175 (Activation)     (None, 3, 3, 192)    0           batch_normalization_175[0][0]    \n","__________________________________________________________________________________________________\n","activation_178 (Activation)     (None, 3, 3, 256)    0           batch_normalization_178[0][0]    \n","__________________________________________________________________________________________________\n","block8_4_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_175[0][0]             \n","                                                                 activation_178[0][0]             \n","__________________________________________________________________________________________________\n","block8_4_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_4_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_4 (Lambda)               (None, 3, 3, 2080)   0           block8_3_ac[0][0]                \n","                                                                 block8_4_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_4_ac (Activation)        (None, 3, 3, 2080)   0           block8_4[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_180 (Conv2D)             (None, 3, 3, 192)    399360      block8_4_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_180 (BatchN (None, 3, 3, 192)    576         conv2d_180[0][0]                 \n","__________________________________________________________________________________________________\n","activation_180 (Activation)     (None, 3, 3, 192)    0           batch_normalization_180[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_181 (Conv2D)             (None, 3, 3, 224)    129024      activation_180[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_181 (BatchN (None, 3, 3, 224)    672         conv2d_181[0][0]                 \n","__________________________________________________________________________________________________\n","activation_181 (Activation)     (None, 3, 3, 224)    0           batch_normalization_181[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_179 (Conv2D)             (None, 3, 3, 192)    399360      block8_4_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_182 (Conv2D)             (None, 3, 3, 256)    172032      activation_181[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_179 (BatchN (None, 3, 3, 192)    576         conv2d_179[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_182 (BatchN (None, 3, 3, 256)    768         conv2d_182[0][0]                 \n","__________________________________________________________________________________________________\n","activation_179 (Activation)     (None, 3, 3, 192)    0           batch_normalization_179[0][0]    \n","__________________________________________________________________________________________________\n","activation_182 (Activation)     (None, 3, 3, 256)    0           batch_normalization_182[0][0]    \n","__________________________________________________________________________________________________\n","block8_5_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_179[0][0]             \n","                                                                 activation_182[0][0]             \n","__________________________________________________________________________________________________\n","block8_5_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_5_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_5 (Lambda)               (None, 3, 3, 2080)   0           block8_4_ac[0][0]                \n","                                                                 block8_5_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_5_ac (Activation)        (None, 3, 3, 2080)   0           block8_5[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_184 (Conv2D)             (None, 3, 3, 192)    399360      block8_5_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_184 (BatchN (None, 3, 3, 192)    576         conv2d_184[0][0]                 \n","__________________________________________________________________________________________________\n","activation_184 (Activation)     (None, 3, 3, 192)    0           batch_normalization_184[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_185 (Conv2D)             (None, 3, 3, 224)    129024      activation_184[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_185 (BatchN (None, 3, 3, 224)    672         conv2d_185[0][0]                 \n","__________________________________________________________________________________________________\n","activation_185 (Activation)     (None, 3, 3, 224)    0           batch_normalization_185[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_183 (Conv2D)             (None, 3, 3, 192)    399360      block8_5_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_186 (Conv2D)             (None, 3, 3, 256)    172032      activation_185[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_183 (BatchN (None, 3, 3, 192)    576         conv2d_183[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_186 (BatchN (None, 3, 3, 256)    768         conv2d_186[0][0]                 \n","__________________________________________________________________________________________________\n","activation_183 (Activation)     (None, 3, 3, 192)    0           batch_normalization_183[0][0]    \n","__________________________________________________________________________________________________\n","activation_186 (Activation)     (None, 3, 3, 256)    0           batch_normalization_186[0][0]    \n","__________________________________________________________________________________________________\n","block8_6_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_183[0][0]             \n","                                                                 activation_186[0][0]             \n","__________________________________________________________________________________________________\n","block8_6_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_6_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_6 (Lambda)               (None, 3, 3, 2080)   0           block8_5_ac[0][0]                \n","                                                                 block8_6_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_6_ac (Activation)        (None, 3, 3, 2080)   0           block8_6[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_188 (Conv2D)             (None, 3, 3, 192)    399360      block8_6_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_188 (BatchN (None, 3, 3, 192)    576         conv2d_188[0][0]                 \n","__________________________________________________________________________________________________\n","activation_188 (Activation)     (None, 3, 3, 192)    0           batch_normalization_188[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_189 (Conv2D)             (None, 3, 3, 224)    129024      activation_188[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_189 (BatchN (None, 3, 3, 224)    672         conv2d_189[0][0]                 \n","__________________________________________________________________________________________________\n","activation_189 (Activation)     (None, 3, 3, 224)    0           batch_normalization_189[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_187 (Conv2D)             (None, 3, 3, 192)    399360      block8_6_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_190 (Conv2D)             (None, 3, 3, 256)    172032      activation_189[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_187 (BatchN (None, 3, 3, 192)    576         conv2d_187[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_190 (BatchN (None, 3, 3, 256)    768         conv2d_190[0][0]                 \n","__________________________________________________________________________________________________\n","activation_187 (Activation)     (None, 3, 3, 192)    0           batch_normalization_187[0][0]    \n","__________________________________________________________________________________________________\n","activation_190 (Activation)     (None, 3, 3, 256)    0           batch_normalization_190[0][0]    \n","__________________________________________________________________________________________________\n","block8_7_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_187[0][0]             \n","                                                                 activation_190[0][0]             \n","__________________________________________________________________________________________________\n","block8_7_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_7_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_7 (Lambda)               (None, 3, 3, 2080)   0           block8_6_ac[0][0]                \n","                                                                 block8_7_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_7_ac (Activation)        (None, 3, 3, 2080)   0           block8_7[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_192 (Conv2D)             (None, 3, 3, 192)    399360      block8_7_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_192 (BatchN (None, 3, 3, 192)    576         conv2d_192[0][0]                 \n","__________________________________________________________________________________________________\n","activation_192 (Activation)     (None, 3, 3, 192)    0           batch_normalization_192[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_193 (Conv2D)             (None, 3, 3, 224)    129024      activation_192[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_193 (BatchN (None, 3, 3, 224)    672         conv2d_193[0][0]                 \n","__________________________________________________________________________________________________\n","activation_193 (Activation)     (None, 3, 3, 224)    0           batch_normalization_193[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_191 (Conv2D)             (None, 3, 3, 192)    399360      block8_7_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_194 (Conv2D)             (None, 3, 3, 256)    172032      activation_193[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_191 (BatchN (None, 3, 3, 192)    576         conv2d_191[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_194 (BatchN (None, 3, 3, 256)    768         conv2d_194[0][0]                 \n","__________________________________________________________________________________________________\n","activation_191 (Activation)     (None, 3, 3, 192)    0           batch_normalization_191[0][0]    \n","__________________________________________________________________________________________________\n","activation_194 (Activation)     (None, 3, 3, 256)    0           batch_normalization_194[0][0]    \n","__________________________________________________________________________________________________\n","block8_8_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_191[0][0]             \n","                                                                 activation_194[0][0]             \n","__________________________________________________________________________________________________\n","block8_8_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_8_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_8 (Lambda)               (None, 3, 3, 2080)   0           block8_7_ac[0][0]                \n","                                                                 block8_8_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_8_ac (Activation)        (None, 3, 3, 2080)   0           block8_8[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_196 (Conv2D)             (None, 3, 3, 192)    399360      block8_8_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_196 (BatchN (None, 3, 3, 192)    576         conv2d_196[0][0]                 \n","__________________________________________________________________________________________________\n","activation_196 (Activation)     (None, 3, 3, 192)    0           batch_normalization_196[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_197 (Conv2D)             (None, 3, 3, 224)    129024      activation_196[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_197 (BatchN (None, 3, 3, 224)    672         conv2d_197[0][0]                 \n","__________________________________________________________________________________________________\n","activation_197 (Activation)     (None, 3, 3, 224)    0           batch_normalization_197[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_195 (Conv2D)             (None, 3, 3, 192)    399360      block8_8_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_198 (Conv2D)             (None, 3, 3, 256)    172032      activation_197[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_195 (BatchN (None, 3, 3, 192)    576         conv2d_195[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_198 (BatchN (None, 3, 3, 256)    768         conv2d_198[0][0]                 \n","__________________________________________________________________________________________________\n","activation_195 (Activation)     (None, 3, 3, 192)    0           batch_normalization_195[0][0]    \n","__________________________________________________________________________________________________\n","activation_198 (Activation)     (None, 3, 3, 256)    0           batch_normalization_198[0][0]    \n","__________________________________________________________________________________________________\n","block8_9_mixed (Concatenate)    (None, 3, 3, 448)    0           activation_195[0][0]             \n","                                                                 activation_198[0][0]             \n","__________________________________________________________________________________________________\n","block8_9_conv (Conv2D)          (None, 3, 3, 2080)   933920      block8_9_mixed[0][0]             \n","__________________________________________________________________________________________________\n","block8_9 (Lambda)               (None, 3, 3, 2080)   0           block8_8_ac[0][0]                \n","                                                                 block8_9_conv[0][0]              \n","__________________________________________________________________________________________________\n","block8_9_ac (Activation)        (None, 3, 3, 2080)   0           block8_9[0][0]                   \n","__________________________________________________________________________________________________\n","conv2d_200 (Conv2D)             (None, 3, 3, 192)    399360      block8_9_ac[0][0]                \n","__________________________________________________________________________________________________\n","batch_normalization_200 (BatchN (None, 3, 3, 192)    576         conv2d_200[0][0]                 \n","__________________________________________________________________________________________________\n","activation_200 (Activation)     (None, 3, 3, 192)    0           batch_normalization_200[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_201 (Conv2D)             (None, 3, 3, 224)    129024      activation_200[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_201 (BatchN (None, 3, 3, 224)    672         conv2d_201[0][0]                 \n","__________________________________________________________________________________________________\n","activation_201 (Activation)     (None, 3, 3, 224)    0           batch_normalization_201[0][0]    \n","__________________________________________________________________________________________________\n","conv2d_199 (Conv2D)             (None, 3, 3, 192)    399360      block8_9_ac[0][0]                \n","__________________________________________________________________________________________________\n","conv2d_202 (Conv2D)             (None, 3, 3, 256)    172032      activation_201[0][0]             \n","__________________________________________________________________________________________________\n","batch_normalization_199 (BatchN (None, 3, 3, 192)    576         conv2d_199[0][0]                 \n","__________________________________________________________________________________________________\n","batch_normalization_202 (BatchN (None, 3, 3, 256)    768         conv2d_202[0][0]                 \n","__________________________________________________________________________________________________\n","activation_199 (Activation)     (None, 3, 3, 192)    0           batch_normalization_199[0][0]    \n","__________________________________________________________________________________________________\n","activation_202 (Activation)     (None, 3, 3, 256)    0           batch_normalization_202[0][0]    \n","__________________________________________________________________________________________________\n","block8_10_mixed (Concatenate)   (None, 3, 3, 448)    0           activation_199[0][0]             \n","                                                                 activation_202[0][0]             \n","__________________________________________________________________________________________________\n","block8_10_conv (Conv2D)         (None, 3, 3, 2080)   933920      block8_10_mixed[0][0]            \n","__________________________________________________________________________________________________\n","block8_10 (Lambda)              (None, 3, 3, 2080)   0           block8_9_ac[0][0]                \n","                                                                 block8_10_conv[0][0]             \n","__________________________________________________________________________________________________\n","conv_7b (Conv2D)                (None, 3, 3, 1536)   3194880     block8_10[0][0]                  \n","__________________________________________________________________________________________________\n","conv_7b_bn (BatchNormalization) (None, 3, 3, 1536)   4608        conv_7b[0][0]                    \n","__________________________________________________________________________________________________\n","conv_7b_ac (Activation)         (None, 3, 3, 1536)   0           conv_7b_bn[0][0]                 \n","==================================================================================================\n","Total params: 54,336,736\n","Trainable params: 54,276,192\n","Non-trainable params: 60,544\n","__________________________________________________________________________________________________\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"AEC7_08BPIOf"},"source":["## Densly-connected network on top of the pre-trained one"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4SNcZo8hsKxM","executionInfo":{"status":"ok","timestamp":1611328116963,"user_tz":-60,"elapsed":51221,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"0865b405-5440-45aa-fb8f-46b2e1893146"},"source":["from tensorflow.keras import models\r\n","from tensorflow.keras import layers\r\n","\r\n","model = models.Sequential()\r\n","model.add(conv_base)\r\n","model.add(layers.Flatten())\r\n","model.add(layers.Dense(256, activation='relu'))\r\n","model.add(layers.Dropout(0.45))\r\n","model.add(layers.Dense(1, activation='sigmoid'))\r\n","model.summary()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","inception_resnet_v2 (Functio (None, 3, 3, 1536)        54336736  \n","_________________________________________________________________\n","flatten (Flatten)            (None, 13824)             0         \n","_________________________________________________________________\n","dense (Dense)                (None, 256)               3539200   \n","_________________________________________________________________\n","dropout (Dropout)            (None, 256)               0         \n","_________________________________________________________________\n","dense_1 (Dense)              (None, 1)                 257       \n","=================================================================\n","Total params: 57,876,193\n","Trainable params: 57,815,649\n","Non-trainable params: 60,544\n","_________________________________________________________________\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Znqleo0JseJB"},"source":["#freezing conv_base\r\n","conv_base.trainable = False"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"40A7BUcVeHp5","executionInfo":{"status":"ok","timestamp":1611328307234,"user_tz":-60,"elapsed":241480,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"e7a642dc-d5e1-41c5-a2cb-31685aa43994"},"source":["from tensorflow.keras import optimizers\r\n","\r\n","BATCH_SIZE = 32\r\n","NUM_EPOCHS = 30\r\n","\r\n","model.compile(optimizer='rmsprop',\r\n","              loss='binary_crossentropy',\r\n","              metrics=['acc'])\r\n","\r\n","history = model.fit(\r\n","      train_images_mass_calc,\r\n","      train_labels_mass_calc,\r\n","      epochs= NUM_EPOCHS,\r\n","      batch_size = BATCH_SIZE,\r\n","      validation_split = 0.2,\r\n","      shuffle = True\r\n","      )"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Epoch 1/30\n","67/67 [==============================] - 23s 135ms/step - loss: 1.1507 - acc: 0.7189 - val_loss: 0.6814 - val_acc: 0.6959\n","Epoch 2/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.5170 - acc: 0.8125 - val_loss: 0.7262 - val_acc: 0.6978\n","Epoch 3/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.4393 - acc: 0.8537 - val_loss: 0.5115 - val_acc: 0.7761\n","Epoch 4/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.3948 - acc: 0.8720 - val_loss: 0.6142 - val_acc: 0.8190\n","Epoch 5/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.3221 - acc: 0.8768 - val_loss: 1.0251 - val_acc: 0.6922\n","Epoch 6/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.3224 - acc: 0.8898 - val_loss: 0.3479 - val_acc: 0.8713\n","Epoch 7/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.2676 - acc: 0.9020 - val_loss: 0.3339 - val_acc: 0.8750\n","Epoch 8/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.2178 - acc: 0.9208 - val_loss: 0.5729 - val_acc: 0.8619\n","Epoch 9/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.2609 - acc: 0.9142 - val_loss: 0.6521 - val_acc: 0.8265\n","Epoch 10/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1857 - acc: 0.9338 - val_loss: 0.4792 - val_acc: 0.8899\n","Epoch 11/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1717 - acc: 0.9376 - val_loss: 0.4063 - val_acc: 0.8806\n","Epoch 12/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1838 - acc: 0.9395 - val_loss: 0.7905 - val_acc: 0.8433\n","Epoch 13/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1657 - acc: 0.9430 - val_loss: 0.6375 - val_acc: 0.8190\n","Epoch 14/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1285 - acc: 0.9543 - val_loss: 0.5427 - val_acc: 0.8507\n","Epoch 15/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1425 - acc: 0.9603 - val_loss: 0.9193 - val_acc: 0.8041\n","Epoch 16/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1373 - acc: 0.9511 - val_loss: 0.8281 - val_acc: 0.8097\n","Epoch 17/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1138 - acc: 0.9604 - val_loss: 1.2744 - val_acc: 0.7910\n","Epoch 18/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1216 - acc: 0.9669 - val_loss: 0.7094 - val_acc: 0.8358\n","Epoch 19/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1313 - acc: 0.9678 - val_loss: 0.8300 - val_acc: 0.8396\n","Epoch 20/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.0845 - acc: 0.9740 - val_loss: 1.2220 - val_acc: 0.8340\n","Epoch 21/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1113 - acc: 0.9650 - val_loss: 0.6616 - val_acc: 0.8750\n","Epoch 22/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1020 - acc: 0.9719 - val_loss: 1.3385 - val_acc: 0.8228\n","Epoch 23/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1017 - acc: 0.9686 - val_loss: 1.2830 - val_acc: 0.7836\n","Epoch 24/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.0823 - acc: 0.9744 - val_loss: 1.9560 - val_acc: 0.7817\n","Epoch 25/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1071 - acc: 0.9660 - val_loss: 0.6999 - val_acc: 0.9179\n","Epoch 26/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.0755 - acc: 0.9732 - val_loss: 2.4107 - val_acc: 0.7724\n","Epoch 27/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.1122 - acc: 0.9761 - val_loss: 1.1536 - val_acc: 0.8302\n","Epoch 28/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.0538 - acc: 0.9848 - val_loss: 1.0769 - val_acc: 0.8694\n","Epoch 29/30\n","67/67 [==============================] - 6s 87ms/step - loss: 0.0683 - acc: 0.9818 - val_loss: 1.0503 - val_acc: 0.8750\n","Epoch 30/30\n","67/67 [==============================] - 6s 86ms/step - loss: 0.0481 - acc: 0.9831 - val_loss: 1.8264 - val_acc: 0.7985\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"BXdvCipvPUe0"},"source":["Save the model"]},{"cell_type":"code","metadata":{"id":"A5ZzJ5iJv0-M"},"source":["# dir_name =\"/content/drive/My Drive/Ritorti[_Pasco]/models\"\r\n","# if not os.path.exists(dir_name):\r\n","#   os.makedirs(dir_name)\r\n","# model.save(os.path.join(dir_name,'cnn_pretrained_mass_calc.h5'))"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"NVs5kzWnPYdD"},"source":["# **Training and validation accuracy-loss diagrams**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":544},"id":"8j4XqvqslfU1","executionInfo":{"status":"ok","timestamp":1611338715663,"user_tz":-60,"elapsed":1306,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"cae51d7e-3781-45a9-89dc-ea90e49640e5"},"source":["import matplotlib.pyplot as plt\r\n","# dir_img = \"/content/drive/My Drive/Ritorti[_Pasco]/plot_images\"\r\n","# if not os.path.exists(dir_img):\r\n","#   os.makedirs(dir_img)\r\n","\r\n","acc_1 = history.history['acc']\r\n","val_acc_1 = history.history['val_acc']\r\n","loss_1 = history.history['loss']\r\n","val_loss_1 = history.history['val_loss']\r\n","\r\n","epochs = range(len(acc_1))\r\n","\r\n","plt.plot(epochs, acc_1, 'r', label='Training acc')\r\n","plt.plot(epochs, val_acc_1, 'b', label='Validation acc')\r\n","plt.title('Training and validation accuracy')\r\n","plt.legend()\r\n","#plt.savefig(os.path.join(dir_img,\"VGG16_accuracy.png\"))\r\n","plt.figure()\r\n","\r\n","plt.plot(epochs, loss_1, 'r', label='Training loss')\r\n","plt.plot(epochs, val_loss_1, 'b', label='Validation loss')\r\n","plt.title('Training and validation loss')\r\n","plt.legend()\r\n","#plt.savefig(os.path.join(dir_img,\"VGG16_loss.png\"))\r\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure 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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"Odcwduj6PhVT"},"source":["# **Evaluating the model with the test set**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"R99vBOCN9R-O","executionInfo":{"status":"ok","timestamp":1611328308210,"user_tz":-60,"elapsed":242430,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"a4a17ad6-2f9b-4105-f2dc-74b56efa80a2"},"source":["test_loss, test_acc = model.evaluate(test_images_mass_calc, test_labels_mass_calc)\r\n","print('test_acc:', test_acc)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["11/11 [==============================] - 1s 86ms/step - loss: 1.5559 - acc: 0.8661\n","test_acc: 0.8660714030265808\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Zkjm_n7Q9fG5","executionInfo":{"status":"ok","timestamp":1611328340976,"user_tz":-60,"elapsed":1268,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"13fd267b-c68f-4bed-f9da-685b6ba9d15d"},"source":["predictions = model.predict(test_images_mass_calc)\r\n","predictions = np.round(predictions) #we use sigmoid so as output we have the probability from 0 to 1. We round the predictions\r\n","predictions = predictions.astype(int)\r\n","unique, counts = np.unique(test_labels_mass_calc, return_counts=True)\r\n","print('true',dict(zip(unique, counts)))\r\n","unique, counts = np.unique(predictions, return_counts=True)\r\n","print('pred',dict(zip(unique, counts)))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["true {0: 179, 1: 157}\n","pred {0: 202, 1: 134}\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"QiTRZnC-P5jm"},"source":["**We save the predictions in a txt file to use them in the ensable method**"]},{"cell_type":"code","metadata":{"id":"eJ3TtNGXq1zw"},"source":["# import csv\r\n","# dir_data_store =\"/content/drive/My Drive/Ritorti[_Pasco]/data_store\"\r\n","# if not os.path.exists(dir_data_store):\r\n","#   os.makedirs(dir_data_store)\r\n","\r\n","#np.savetxt(os.path.join(dir_data_store,\"predictions_31.csv\"), predictions, delimiter=\",\")"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"5zNbiPbMQK1Z"},"source":["**Evaluation of the model with the following tools:**\r\n","\r\n","\r\n","1.   Confusion matrix\r\n","2.   Accuracy, precision, recall and f1-score\r\n","3.   ROC curve\r\n","\r\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3UWFTDBthORw","executionInfo":{"status":"ok","timestamp":1611328347736,"user_tz":-60,"elapsed":592,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"07d7fa56-e0a3-4bad-f268-09e18b7c99e2"},"source":["from sklearn import metrics\r\n","metrics.confusion_matrix(test_labels_mass_calc,predictions)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[168,  11],\n","       [ 34, 123]])"]},"metadata":{"tags":[]},"execution_count":27}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"uzW-iVu2hQlj","executionInfo":{"status":"ok","timestamp":1611328350865,"user_tz":-60,"elapsed":549,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"d977b666-0151-4deb-a680-b5b25fa9d1b3"},"source":["# accuracy: (TP+TN)/(TP+FP+FN+TN): percentage of correctly predicted samples\r\n","metrics.accuracy_score(test_labels_mass_calc,predictions)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.8660714285714286"]},"metadata":{"tags":[]},"execution_count":28}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xeSEr6eehWno","executionInfo":{"status":"ok","timestamp":1611328352987,"user_tz":-60,"elapsed":535,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"bea5c5df-f825-4248-a98e-a2e58181a3e6"},"source":["# precision: TP/(TP+FP): The precision is intuitively the ability of the classifier not to label as positive a sample that is negative.\r\n","metrics.precision_score(test_labels_mass_calc,predictions)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.917910447761194"]},"metadata":{"tags":[]},"execution_count":29}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"v2U4hhethae-","executionInfo":{"status":"ok","timestamp":1611328355064,"user_tz":-60,"elapsed":537,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"ecc89db6-29c8-4a46-ffbb-21e538590a9d"},"source":["# recall: TP/(TP+FN): The recall is intuitively the ability of the classifier to find all the positive samples.\r\n","metrics.recall_score(test_labels_mass_calc,predictions)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.7834394904458599"]},"metadata":{"tags":[]},"execution_count":30}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ETDGLJYshbHy","executionInfo":{"status":"ok","timestamp":1611328359816,"user_tz":-60,"elapsed":585,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"d27ede8f-3070-4dcc-99f2-3316b953eb5f"},"source":["# f1-score: 2*(precision*recall)/(precision + recall). The F1-score is the harmonic mean of precision and sensitivity\r\n","metrics.f1_score(test_labels_mass_calc,predictions)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.8453608247422681"]},"metadata":{"tags":[]},"execution_count":31}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OdgGXMWfhcty","executionInfo":{"status":"ok","timestamp":1611328361920,"user_tz":-60,"elapsed":542,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"e4a64ead-5b48-456e-d430-3254cb912af5"},"source":["# classification report: Build a text report showing the main classification metrics\r\n","print(metrics.classification_report(test_labels_mass_calc,predictions))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["              precision    recall  f1-score   support\n","\n","           0       0.83      0.94      0.88       179\n","           1       0.92      0.78      0.85       157\n","\n","    accuracy                           0.87       336\n","   macro avg       0.87      0.86      0.86       336\n","weighted avg       0.87      0.87      0.86       336\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Wf3zNO6Sj4e7"},"source":["fpr,tpr,th = metrics.roc_curve(test_labels_mass_calc,predictions)\r\n","roc_auc = metrics.roc_auc_score(test_labels_mass_calc,predictions)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":294},"id":"yByeTYTyj-TM","executionInfo":{"status":"ok","timestamp":1611338723354,"user_tz":-60,"elapsed":680,"user":{"displayName":"Lorenzo Pasco","photoUrl":"https://lh6.googleusercontent.com/-CYe3n06kEO8/AAAAAAAAAAI/AAAAAAAABA0/IYoarPKO134/s64/photo.jpg","userId":"01314717049817932576"}},"outputId":"279d4ecd-df9c-4b24-8298-f39ebcd53ec6"},"source":["from matplotlib import pyplot as plt\r\n","plt.figure()\r\n","plt.plot(fpr, tpr, label='ROC curve (area = %0.2f)' % roc_auc)\r\n","plt.plot([0, 1], [0, 1], color='navy', linestyle='--')\r\n","plt.xlim([0.0, 1.0])\r\n","plt.ylim([0.0, 1.0])\r\n","plt.xlabel('False Positive Rate')\r\n","plt.ylabel('True Positive Rate')\r\n","plt.title('Receiver operating characteristic example')\r\n","plt.legend(loc=\"lower right\")\r\n","plt.savefig(os.path.join(dir_img,\"ROC_curve.png\"))\r\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]}]}