{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"\n# # example of creating a CNN with an inception module\n# from keras.models import Model\n# from keras.layers import Input\n# from keras.layers import Conv2D\n# from keras.layers import MaxPooling2D\n# from keras.layers.merge import concatenate\n# from keras.utils.vis_utils import plot_model\n \n# # function for creating a naive inception block\n# def naive_inception_module(layer_in, f1, f2, f3):\n# \t# 1x1 conv\n# \tconv1 = Conv2D(f1, (1,1), padding='same', activation='relu')(layer_in)\n# \t# 3x3 conv\n# \tconv3 = Conv2D(f2, (3,3), padding='same', activation='relu')(layer_in)\n# \t# 5x5 conv\n# \tconv5 = Conv2D(f3, (5,5), padding='same', activation='relu')(layer_in)\n# \t# 3x3 max pooling\n# \tpool = MaxPooling2D((3,3), strides=(1,1), padding='same')(layer_in)\n# \t# concatenate filters, assumes filters/channels last\n# \tlayer_out = concatenate([conv1, conv3, conv5, pool], axis=-1)\n# \treturn layer_out\n \n# # define model input\n# visible = Input(shape=(256, 256, 3))\n# # add inception module\n# layer = naive_inception_module(visible, 64, 128, 32)\n# # create model\n# model = Model(inputs=visible, outputs=layer)\n# # summarize model\n# model.summary()\n# # plot model architecture\n# plot_model(model, show_shapes=True, to_file='naive_inception_module.png')","metadata":{"execution":{"iopub.status.busy":"2022-03-12T13:35:55.635484Z","iopub.execute_input":"2022-03-12T13:35:55.636093Z","iopub.status.idle":"2022-03-12T13:35:55.657637Z","shell.execute_reply.started":"2022-03-12T13:35:55.635996Z","shell.execute_reply":"2022-03-12T13:35:55.656947Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import os\nimport cv2\nimport random\nimport warnings\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom sklearn.metrics import confusion_matrix, cohen_kappa_score\nfrom keras.models import Model\nfrom keras import optimizers, applications\nfrom keras.preprocessing.image import ImageDataGenerator\nfrom keras.callbacks import EarlyStopping, ReduceLROnPlateau\nfrom keras.layers import Dense, Dropout, GlobalAveragePooling2D, Input\nimport tensorflow as tf\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\nfrom tensorflow.keras.preprocessing import image_dataset_from_directory\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import InputLayer, BatchNormalization, Dropout, Flatten, Dense, Activation, MaxPool2D, Conv2D\nfrom tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint\nfrom tensorflow.keras.applications.resnet50 import ResNet50\nfrom tensorflow.keras.utils import to_categorical\nfrom keras import optimizers\nfrom tensorflow.keras.optimizers import Adam\nfrom keras.callbacks import Callback,ModelCheckpoint,ReduceLROnPlateau\nfrom keras.models import Sequential,load_model\nfrom keras.layers import Dense, Dropout\nfrom keras.wrappers.scikit_learn import KerasClassifier\nimport keras.backend as K\n#import tensorflow_addons as tfa\n#from tensorflow.keras.metrics import Metric\n#from tensorflow_addons.utils.types import AcceptableDTypes, FloatTensorLike\nfrom typeguard import typechecked\nfrom typing import Optional\n%matplotlib inline\nsns.set(style=\"whitegrid\")\nwarnings.filterwarnings(\"ignore\")","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:05:30.684078Z","iopub.execute_input":"2023-11-10T02:05:30.684441Z","iopub.status.idle":"2023-11-10T02:05:37.918118Z","shell.execute_reply.started":"2023-11-10T02:05:30.684349Z","shell.execute_reply":"2023-11-10T02:05:37.917195Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"code","source":"train = pd.read_csv('/kaggle/input/aptos2019-blindness-detection/train.csv')\ntest = pd.read_csv('/kaggle/input/testdataset/test_dataset.csv')\nN_CLASSES = train['diagnosis'].nunique()\ntrain[\"id_code\"] = train[\"id_code\"].apply(lambda x: x + \".png\")\ntest[\"id_code\"] = test[\"id_code\"].apply(lambda x: x + \".jpg\")\ntrain['diagnosis'] = train['diagnosis'].astype('str')","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:05:41.98348Z","iopub.execute_input":"2023-11-10T02:05:41.984023Z","iopub.status.idle":"2023-11-10T02:05:42.022552Z","shell.execute_reply.started":"2023-11-10T02:05:41.983984Z","shell.execute_reply":"2023-11-10T02:05:42.021739Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"train_datagen=ImageDataGenerator(rescale=1./255, \n validation_split=0.2,\n horizontal_flip=True)\n\ntrain_generator=train_datagen.flow_from_dataframe(\n dataframe=train,\n directory=\"../input/aptos2019-blindness-detection/train_images/\",\n x_col=\"id_code\",\n y_col=\"diagnosis\",\n batch_size=16,\n class_mode=\"categorical\",\n target_size=(224, 224),\n subset='training')","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:05:44.161751Z","iopub.execute_input":"2023-11-10T02:05:44.162049Z","iopub.status.idle":"2023-11-10T02:05:52.111608Z","shell.execute_reply.started":"2023-11-10T02:05:44.162016Z","shell.execute_reply":"2023-11-10T02:05:52.110688Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"Found 2930 validated image filenames belonging to 5 classes.\n","output_type":"stream"}]},{"cell_type":"code","source":"valid_generator=train_datagen.flow_from_dataframe(\n dataframe=train,\n directory=\"../input/aptos2019-blindness-detection/train_images/\",\n x_col=\"id_code\",\n y_col=\"diagnosis\",\n batch_size=16,\n class_mode=\"categorical\", \n target_size=(224, 224),\n subset='validation')","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:05:52.113235Z","iopub.execute_input":"2023-11-10T02:05:52.113484Z","iopub.status.idle":"2023-11-10T02:05:53.508509Z","shell.execute_reply.started":"2023-11-10T02:05:52.113454Z","shell.execute_reply":"2023-11-10T02:05:53.507664Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stdout","text":"Found 732 validated image filenames belonging to 5 classes.\n","output_type":"stream"}]},{"cell_type":"code","source":"test_datagen = ImageDataGenerator(rescale=1./255)\n\ntest_generator = test_datagen.flow_from_dataframe( \n dataframe=test,\n directory = \"/kaggle/input/dataset/1000 รูป 2 NidexAFC210/\",\n x_col=\"id_code\",\n target_size=(224, 224),\n batch_size=16,\n shuffle=False,\n class_mode=None)","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:05:53.509471Z","iopub.execute_input":"2023-11-10T02:05:53.509666Z","iopub.status.idle":"2023-11-10T02:05:54.153282Z","shell.execute_reply.started":"2023-11-10T02:05:53.50964Z","shell.execute_reply":"2023-11-10T02:05:54.152462Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"Found 411 validated image filenames.\n","output_type":"stream"}]},{"cell_type":"code","source":"from tensorflow.keras.applications.inception_resnet_v2 import InceptionResNetV2\nfrom tensorflow.keras.layers import Input, MaxPooling2D, Dense, Flatten, Dropout\nfrom tensorflow.keras.models import Model\n\n\nbaseModel=InceptionResNetV2(include_top=False, input_tensor=Input(shape=(256, 256, 3)), weights='../input/inceptionresnetv2/inceptionresnetv2weightstfdimnotop.h5')\n\nfor layer in baseModel.layers:\n layer.trainable=False\n \ntransfer_model=baseModel.output\ntransfer_model=MaxPooling2D(pool_size=(4, 4))(transfer_model)\ntransfer_model=Flatten()(transfer_model)\ntransfer_model=Dense(64, activation='relu')(transfer_model)\ntransfer_model=Dropout(0.2)(transfer_model)\ntransfer_model=Dense(5, activation='softmax')(transfer_model)\n\nmodel = Model(inputs=baseModel.input, outputs=transfer_model)\nmodel.summary()","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:05:54.15536Z","iopub.execute_input":"2023-11-10T02:05:54.155971Z","iopub.status.idle":"2023-11-10T02:06:05.321062Z","shell.execute_reply.started":"2023-11-10T02:05:54.155923Z","shell.execute_reply":"2023-11-10T02:06:05.320224Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"Model: \"model\"\n__________________________________________________________________________________________________\nLayer (type) Output Shape Param # Connected to \n==================================================================================================\ninput_1 (InputLayer) [(None, 256, 256, 3) 0 \n__________________________________________________________________________________________________\nconv2d (Conv2D) (None, 127, 127, 32) 864 input_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization (BatchNorma (None, 127, 127, 32) 96 conv2d[0][0] \n__________________________________________________________________________________________________\nactivation (Activation) (None, 127, 127, 32) 0 batch_normalization[0][0] \n__________________________________________________________________________________________________\nconv2d_1 (Conv2D) (None, 125, 125, 32) 9216 activation[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_1 (BatchNor (None, 125, 125, 32) 96 conv2d_1[0][0] \n__________________________________________________________________________________________________\nactivation_1 (Activation) (None, 125, 125, 32) 0 batch_normalization_1[0][0] \n__________________________________________________________________________________________________\nconv2d_2 (Conv2D) (None, 125, 125, 64) 18432 activation_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_2 (BatchNor (None, 125, 125, 64) 192 conv2d_2[0][0] \n__________________________________________________________________________________________________\nactivation_2 (Activation) (None, 125, 125, 64) 0 batch_normalization_2[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d (MaxPooling2D) (None, 62, 62, 64) 0 activation_2[0][0] \n__________________________________________________________________________________________________\nconv2d_3 (Conv2D) (None, 62, 62, 80) 5120 max_pooling2d[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_3 (BatchNor (None, 62, 62, 80) 240 conv2d_3[0][0] \n__________________________________________________________________________________________________\nactivation_3 (Activation) (None, 62, 62, 80) 0 batch_normalization_3[0][0] \n__________________________________________________________________________________________________\nconv2d_4 (Conv2D) (None, 60, 60, 192) 138240 activation_3[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_4 (BatchNor (None, 60, 60, 192) 576 conv2d_4[0][0] \n__________________________________________________________________________________________________\nactivation_4 (Activation) (None, 60, 60, 192) 0 batch_normalization_4[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_1 (MaxPooling2D) (None, 29, 29, 192) 0 activation_4[0][0] \n__________________________________________________________________________________________________\nconv2d_8 (Conv2D) (None, 29, 29, 64) 12288 max_pooling2d_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_8 (BatchNor (None, 29, 29, 64) 192 conv2d_8[0][0] \n__________________________________________________________________________________________________\nactivation_8 (Activation) (None, 29, 29, 64) 0 batch_normalization_8[0][0] \n__________________________________________________________________________________________________\nconv2d_6 (Conv2D) (None, 29, 29, 48) 9216 max_pooling2d_1[0][0] \n__________________________________________________________________________________________________\nconv2d_9 (Conv2D) (None, 29, 29, 96) 55296 activation_8[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_6 (BatchNor (None, 29, 29, 48) 144 conv2d_6[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_9 (BatchNor (None, 29, 29, 96) 288 conv2d_9[0][0] \n__________________________________________________________________________________________________\nactivation_6 (Activation) (None, 29, 29, 48) 0 batch_normalization_6[0][0] \n__________________________________________________________________________________________________\nactivation_9 (Activation) (None, 29, 29, 96) 0 batch_normalization_9[0][0] \n__________________________________________________________________________________________________\naverage_pooling2d (AveragePooli (None, 29, 29, 192) 0 max_pooling2d_1[0][0] \n__________________________________________________________________________________________________\nconv2d_5 (Conv2D) (None, 29, 29, 96) 18432 max_pooling2d_1[0][0] \n__________________________________________________________________________________________________\nconv2d_7 (Conv2D) (None, 29, 29, 64) 76800 activation_6[0][0] \n__________________________________________________________________________________________________\nconv2d_10 (Conv2D) (None, 29, 29, 96) 82944 activation_9[0][0] \n__________________________________________________________________________________________________\nconv2d_11 (Conv2D) (None, 29, 29, 64) 12288 average_pooling2d[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_5 (BatchNor (None, 29, 29, 96) 288 conv2d_5[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_7 (BatchNor (None, 29, 29, 64) 192 conv2d_7[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_10 (BatchNo (None, 29, 29, 96) 288 conv2d_10[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_11 (BatchNo (None, 29, 29, 64) 192 conv2d_11[0][0] \n__________________________________________________________________________________________________\nactivation_5 (Activation) (None, 29, 29, 96) 0 batch_normalization_5[0][0] \n__________________________________________________________________________________________________\nactivation_7 (Activation) (None, 29, 29, 64) 0 batch_normalization_7[0][0] \n__________________________________________________________________________________________________\nactivation_10 (Activation) (None, 29, 29, 96) 0 batch_normalization_10[0][0] \n__________________________________________________________________________________________________\nactivation_11 (Activation) (None, 29, 29, 64) 0 batch_normalization_11[0][0] \n__________________________________________________________________________________________________\nmixed_5b (Concatenate) (None, 29, 29, 320) 0 activation_5[0][0] \n activation_7[0][0] \n activation_10[0][0] \n activation_11[0][0] \n__________________________________________________________________________________________________\nconv2d_15 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_15 (BatchNo (None, 29, 29, 32) 96 conv2d_15[0][0] \n__________________________________________________________________________________________________\nactivation_15 (Activation) (None, 29, 29, 32) 0 batch_normalization_15[0][0] \n__________________________________________________________________________________________________\nconv2d_13 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0] \n__________________________________________________________________________________________________\nconv2d_16 (Conv2D) (None, 29, 29, 48) 13824 activation_15[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_13 (BatchNo (None, 29, 29, 32) 96 conv2d_13[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_16 (BatchNo (None, 29, 29, 48) 144 conv2d_16[0][0] \n__________________________________________________________________________________________________\nactivation_13 (Activation) (None, 29, 29, 32) 0 batch_normalization_13[0][0] \n__________________________________________________________________________________________________\nactivation_16 (Activation) (None, 29, 29, 48) 0 batch_normalization_16[0][0] \n__________________________________________________________________________________________________\nconv2d_12 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0] \n__________________________________________________________________________________________________\nconv2d_14 (Conv2D) (None, 29, 29, 32) 9216 activation_13[0][0] \n__________________________________________________________________________________________________\nconv2d_17 (Conv2D) (None, 29, 29, 64) 27648 activation_16[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_12 (BatchNo (None, 29, 29, 32) 96 conv2d_12[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_14 (BatchNo (None, 29, 29, 32) 96 conv2d_14[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_17 (BatchNo (None, 29, 29, 64) 192 conv2d_17[0][0] \n__________________________________________________________________________________________________\nactivation_12 (Activation) (None, 29, 29, 32) 0 batch_normalization_12[0][0] \n__________________________________________________________________________________________________\nactivation_14 (Activation) (None, 29, 29, 32) 0 batch_normalization_14[0][0] \n__________________________________________________________________________________________________\nactivation_17 (Activation) (None, 29, 29, 64) 0 batch_normalization_17[0][0] \n__________________________________________________________________________________________________\nblock35_1_mixed (Concatenate) (None, 29, 29, 128) 0 activation_12[0][0] \n activation_14[0][0] \n activation_17[0][0] \n__________________________________________________________________________________________________\nblock35_1_conv (Conv2D) (None, 29, 29, 320) 41280 block35_1_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_1 (Lambda) (None, 29, 29, 320) 0 mixed_5b[0][0] \n block35_1_conv[0][0] \n__________________________________________________________________________________________________\nblock35_1_ac (Activation) (None, 29, 29, 320) 0 block35_1[0][0] \n__________________________________________________________________________________________________\nconv2d_21 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_21 (BatchNo (None, 29, 29, 32) 96 conv2d_21[0][0] \n__________________________________________________________________________________________________\nactivation_21 (Activation) (None, 29, 29, 32) 0 batch_normalization_21[0][0] \n__________________________________________________________________________________________________\nconv2d_19 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_22 (Conv2D) (None, 29, 29, 48) 13824 activation_21[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_19 (BatchNo (None, 29, 29, 32) 96 conv2d_19[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_22 (BatchNo (None, 29, 29, 48) 144 conv2d_22[0][0] \n__________________________________________________________________________________________________\nactivation_19 (Activation) (None, 29, 29, 32) 0 batch_normalization_19[0][0] \n__________________________________________________________________________________________________\nactivation_22 (Activation) (None, 29, 29, 48) 0 batch_normalization_22[0][0] \n__________________________________________________________________________________________________\nconv2d_18 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_20 (Conv2D) (None, 29, 29, 32) 9216 activation_19[0][0] \n__________________________________________________________________________________________________\nconv2d_23 (Conv2D) (None, 29, 29, 64) 27648 activation_22[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_18 (BatchNo (None, 29, 29, 32) 96 conv2d_18[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_20 (BatchNo (None, 29, 29, 32) 96 conv2d_20[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_23 (BatchNo (None, 29, 29, 64) 192 conv2d_23[0][0] \n__________________________________________________________________________________________________\nactivation_18 (Activation) (None, 29, 29, 32) 0 batch_normalization_18[0][0] \n__________________________________________________________________________________________________\nactivation_20 (Activation) (None, 29, 29, 32) 0 batch_normalization_20[0][0] \n__________________________________________________________________________________________________\nactivation_23 (Activation) (None, 29, 29, 64) 0 batch_normalization_23[0][0] \n__________________________________________________________________________________________________\nblock35_2_mixed (Concatenate) (None, 29, 29, 128) 0 activation_18[0][0] \n activation_20[0][0] \n activation_23[0][0] \n__________________________________________________________________________________________________\nblock35_2_conv (Conv2D) (None, 29, 29, 320) 41280 block35_2_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_2 (Lambda) (None, 29, 29, 320) 0 block35_1_ac[0][0] \n block35_2_conv[0][0] \n__________________________________________________________________________________________________\nblock35_2_ac (Activation) (None, 29, 29, 320) 0 block35_2[0][0] \n__________________________________________________________________________________________________\nconv2d_27 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_27 (BatchNo (None, 29, 29, 32) 96 conv2d_27[0][0] \n__________________________________________________________________________________________________\nactivation_27 (Activation) (None, 29, 29, 32) 0 batch_normalization_27[0][0] \n__________________________________________________________________________________________________\nconv2d_25 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_28 (Conv2D) (None, 29, 29, 48) 13824 activation_27[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_25 (BatchNo (None, 29, 29, 32) 96 conv2d_25[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_28 (BatchNo (None, 29, 29, 48) 144 conv2d_28[0][0] \n__________________________________________________________________________________________________\nactivation_25 (Activation) (None, 29, 29, 32) 0 batch_normalization_25[0][0] \n__________________________________________________________________________________________________\nactivation_28 (Activation) (None, 29, 29, 48) 0 batch_normalization_28[0][0] \n__________________________________________________________________________________________________\nconv2d_24 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_26 (Conv2D) (None, 29, 29, 32) 9216 activation_25[0][0] \n__________________________________________________________________________________________________\nconv2d_29 (Conv2D) (None, 29, 29, 64) 27648 activation_28[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_24 (BatchNo (None, 29, 29, 32) 96 conv2d_24[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_26 (BatchNo (None, 29, 29, 32) 96 conv2d_26[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_29 (BatchNo (None, 29, 29, 64) 192 conv2d_29[0][0] \n__________________________________________________________________________________________________\nactivation_24 (Activation) (None, 29, 29, 32) 0 batch_normalization_24[0][0] \n__________________________________________________________________________________________________\nactivation_26 (Activation) (None, 29, 29, 32) 0 batch_normalization_26[0][0] \n__________________________________________________________________________________________________\nactivation_29 (Activation) (None, 29, 29, 64) 0 batch_normalization_29[0][0] \n__________________________________________________________________________________________________\nblock35_3_mixed (Concatenate) (None, 29, 29, 128) 0 activation_24[0][0] \n activation_26[0][0] \n activation_29[0][0] \n__________________________________________________________________________________________________\nblock35_3_conv (Conv2D) (None, 29, 29, 320) 41280 block35_3_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_3 (Lambda) (None, 29, 29, 320) 0 block35_2_ac[0][0] \n block35_3_conv[0][0] \n__________________________________________________________________________________________________\nblock35_3_ac (Activation) (None, 29, 29, 320) 0 block35_3[0][0] \n__________________________________________________________________________________________________\nconv2d_33 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_33 (BatchNo (None, 29, 29, 32) 96 conv2d_33[0][0] \n__________________________________________________________________________________________________\nactivation_33 (Activation) (None, 29, 29, 32) 0 batch_normalization_33[0][0] \n__________________________________________________________________________________________________\nconv2d_31 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_34 (Conv2D) (None, 29, 29, 48) 13824 activation_33[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_31 (BatchNo (None, 29, 29, 32) 96 conv2d_31[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_34 (BatchNo (None, 29, 29, 48) 144 conv2d_34[0][0] \n__________________________________________________________________________________________________\nactivation_31 (Activation) (None, 29, 29, 32) 0 batch_normalization_31[0][0] \n__________________________________________________________________________________________________\nactivation_34 (Activation) (None, 29, 29, 48) 0 batch_normalization_34[0][0] \n__________________________________________________________________________________________________\nconv2d_30 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_32 (Conv2D) (None, 29, 29, 32) 9216 activation_31[0][0] \n__________________________________________________________________________________________________\nconv2d_35 (Conv2D) (None, 29, 29, 64) 27648 activation_34[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_30 (BatchNo (None, 29, 29, 32) 96 conv2d_30[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_32 (BatchNo (None, 29, 29, 32) 96 conv2d_32[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_35 (BatchNo (None, 29, 29, 64) 192 conv2d_35[0][0] \n__________________________________________________________________________________________________\nactivation_30 (Activation) (None, 29, 29, 32) 0 batch_normalization_30[0][0] \n__________________________________________________________________________________________________\nactivation_32 (Activation) (None, 29, 29, 32) 0 batch_normalization_32[0][0] \n__________________________________________________________________________________________________\nactivation_35 (Activation) (None, 29, 29, 64) 0 batch_normalization_35[0][0] \n__________________________________________________________________________________________________\nblock35_4_mixed (Concatenate) (None, 29, 29, 128) 0 activation_30[0][0] \n activation_32[0][0] \n activation_35[0][0] \n__________________________________________________________________________________________________\nblock35_4_conv (Conv2D) (None, 29, 29, 320) 41280 block35_4_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_4 (Lambda) (None, 29, 29, 320) 0 block35_3_ac[0][0] \n block35_4_conv[0][0] \n__________________________________________________________________________________________________\nblock35_4_ac (Activation) (None, 29, 29, 320) 0 block35_4[0][0] \n__________________________________________________________________________________________________\nconv2d_39 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_39 (BatchNo (None, 29, 29, 32) 96 conv2d_39[0][0] \n__________________________________________________________________________________________________\nactivation_39 (Activation) (None, 29, 29, 32) 0 batch_normalization_39[0][0] \n__________________________________________________________________________________________________\nconv2d_37 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_40 (Conv2D) (None, 29, 29, 48) 13824 activation_39[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_37 (BatchNo (None, 29, 29, 32) 96 conv2d_37[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_40 (BatchNo (None, 29, 29, 48) 144 conv2d_40[0][0] \n__________________________________________________________________________________________________\nactivation_37 (Activation) (None, 29, 29, 32) 0 batch_normalization_37[0][0] \n__________________________________________________________________________________________________\nactivation_40 (Activation) (None, 29, 29, 48) 0 batch_normalization_40[0][0] \n__________________________________________________________________________________________________\nconv2d_36 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_38 (Conv2D) (None, 29, 29, 32) 9216 activation_37[0][0] \n__________________________________________________________________________________________________\nconv2d_41 (Conv2D) (None, 29, 29, 64) 27648 activation_40[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_36 (BatchNo (None, 29, 29, 32) 96 conv2d_36[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_38 (BatchNo (None, 29, 29, 32) 96 conv2d_38[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_41 (BatchNo (None, 29, 29, 64) 192 conv2d_41[0][0] \n__________________________________________________________________________________________________\nactivation_36 (Activation) (None, 29, 29, 32) 0 batch_normalization_36[0][0] \n__________________________________________________________________________________________________\nactivation_38 (Activation) (None, 29, 29, 32) 0 batch_normalization_38[0][0] \n__________________________________________________________________________________________________\nactivation_41 (Activation) (None, 29, 29, 64) 0 batch_normalization_41[0][0] \n__________________________________________________________________________________________________\nblock35_5_mixed (Concatenate) (None, 29, 29, 128) 0 activation_36[0][0] \n activation_38[0][0] \n activation_41[0][0] \n__________________________________________________________________________________________________\nblock35_5_conv (Conv2D) (None, 29, 29, 320) 41280 block35_5_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_5 (Lambda) (None, 29, 29, 320) 0 block35_4_ac[0][0] \n block35_5_conv[0][0] \n__________________________________________________________________________________________________\nblock35_5_ac (Activation) (None, 29, 29, 320) 0 block35_5[0][0] \n__________________________________________________________________________________________________\nconv2d_45 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_45 (BatchNo (None, 29, 29, 32) 96 conv2d_45[0][0] \n__________________________________________________________________________________________________\nactivation_45 (Activation) (None, 29, 29, 32) 0 batch_normalization_45[0][0] \n__________________________________________________________________________________________________\nconv2d_43 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_46 (Conv2D) (None, 29, 29, 48) 13824 activation_45[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_43 (BatchNo (None, 29, 29, 32) 96 conv2d_43[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_46 (BatchNo (None, 29, 29, 48) 144 conv2d_46[0][0] \n__________________________________________________________________________________________________\nactivation_43 (Activation) (None, 29, 29, 32) 0 batch_normalization_43[0][0] \n__________________________________________________________________________________________________\nactivation_46 (Activation) (None, 29, 29, 48) 0 batch_normalization_46[0][0] \n__________________________________________________________________________________________________\nconv2d_42 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_44 (Conv2D) (None, 29, 29, 32) 9216 activation_43[0][0] \n__________________________________________________________________________________________________\nconv2d_47 (Conv2D) (None, 29, 29, 64) 27648 activation_46[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_42 (BatchNo (None, 29, 29, 32) 96 conv2d_42[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_44 (BatchNo (None, 29, 29, 32) 96 conv2d_44[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_47 (BatchNo (None, 29, 29, 64) 192 conv2d_47[0][0] \n__________________________________________________________________________________________________\nactivation_42 (Activation) (None, 29, 29, 32) 0 batch_normalization_42[0][0] \n__________________________________________________________________________________________________\nactivation_44 (Activation) (None, 29, 29, 32) 0 batch_normalization_44[0][0] \n__________________________________________________________________________________________________\nactivation_47 (Activation) (None, 29, 29, 64) 0 batch_normalization_47[0][0] \n__________________________________________________________________________________________________\nblock35_6_mixed (Concatenate) (None, 29, 29, 128) 0 activation_42[0][0] \n activation_44[0][0] \n activation_47[0][0] \n__________________________________________________________________________________________________\nblock35_6_conv (Conv2D) (None, 29, 29, 320) 41280 block35_6_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_6 (Lambda) (None, 29, 29, 320) 0 block35_5_ac[0][0] \n block35_6_conv[0][0] \n__________________________________________________________________________________________________\nblock35_6_ac (Activation) (None, 29, 29, 320) 0 block35_6[0][0] \n__________________________________________________________________________________________________\nconv2d_51 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_51 (BatchNo (None, 29, 29, 32) 96 conv2d_51[0][0] \n__________________________________________________________________________________________________\nactivation_51 (Activation) (None, 29, 29, 32) 0 batch_normalization_51[0][0] \n__________________________________________________________________________________________________\nconv2d_49 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_52 (Conv2D) (None, 29, 29, 48) 13824 activation_51[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_49 (BatchNo (None, 29, 29, 32) 96 conv2d_49[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_52 (BatchNo (None, 29, 29, 48) 144 conv2d_52[0][0] \n__________________________________________________________________________________________________\nactivation_49 (Activation) (None, 29, 29, 32) 0 batch_normalization_49[0][0] \n__________________________________________________________________________________________________\nactivation_52 (Activation) (None, 29, 29, 48) 0 batch_normalization_52[0][0] \n__________________________________________________________________________________________________\nconv2d_48 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_50 (Conv2D) (None, 29, 29, 32) 9216 activation_49[0][0] \n__________________________________________________________________________________________________\nconv2d_53 (Conv2D) (None, 29, 29, 64) 27648 activation_52[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_48 (BatchNo (None, 29, 29, 32) 96 conv2d_48[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_50 (BatchNo (None, 29, 29, 32) 96 conv2d_50[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_53 (BatchNo (None, 29, 29, 64) 192 conv2d_53[0][0] \n__________________________________________________________________________________________________\nactivation_48 (Activation) (None, 29, 29, 32) 0 batch_normalization_48[0][0] \n__________________________________________________________________________________________________\nactivation_50 (Activation) (None, 29, 29, 32) 0 batch_normalization_50[0][0] \n__________________________________________________________________________________________________\nactivation_53 (Activation) (None, 29, 29, 64) 0 batch_normalization_53[0][0] \n__________________________________________________________________________________________________\nblock35_7_mixed (Concatenate) (None, 29, 29, 128) 0 activation_48[0][0] \n activation_50[0][0] \n activation_53[0][0] \n__________________________________________________________________________________________________\nblock35_7_conv (Conv2D) (None, 29, 29, 320) 41280 block35_7_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_7 (Lambda) (None, 29, 29, 320) 0 block35_6_ac[0][0] \n block35_7_conv[0][0] \n__________________________________________________________________________________________________\nblock35_7_ac (Activation) (None, 29, 29, 320) 0 block35_7[0][0] \n__________________________________________________________________________________________________\nconv2d_57 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_57 (BatchNo (None, 29, 29, 32) 96 conv2d_57[0][0] \n__________________________________________________________________________________________________\nactivation_57 (Activation) (None, 29, 29, 32) 0 batch_normalization_57[0][0] \n__________________________________________________________________________________________________\nconv2d_55 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_58 (Conv2D) (None, 29, 29, 48) 13824 activation_57[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_55 (BatchNo (None, 29, 29, 32) 96 conv2d_55[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_58 (BatchNo (None, 29, 29, 48) 144 conv2d_58[0][0] \n__________________________________________________________________________________________________\nactivation_55 (Activation) (None, 29, 29, 32) 0 batch_normalization_55[0][0] \n__________________________________________________________________________________________________\nactivation_58 (Activation) (None, 29, 29, 48) 0 batch_normalization_58[0][0] \n__________________________________________________________________________________________________\nconv2d_54 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_56 (Conv2D) (None, 29, 29, 32) 9216 activation_55[0][0] \n__________________________________________________________________________________________________\nconv2d_59 (Conv2D) (None, 29, 29, 64) 27648 activation_58[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_54 (BatchNo (None, 29, 29, 32) 96 conv2d_54[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_56 (BatchNo (None, 29, 29, 32) 96 conv2d_56[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_59 (BatchNo (None, 29, 29, 64) 192 conv2d_59[0][0] \n__________________________________________________________________________________________________\nactivation_54 (Activation) (None, 29, 29, 32) 0 batch_normalization_54[0][0] \n__________________________________________________________________________________________________\nactivation_56 (Activation) (None, 29, 29, 32) 0 batch_normalization_56[0][0] \n__________________________________________________________________________________________________\nactivation_59 (Activation) (None, 29, 29, 64) 0 batch_normalization_59[0][0] \n__________________________________________________________________________________________________\nblock35_8_mixed (Concatenate) (None, 29, 29, 128) 0 activation_54[0][0] \n activation_56[0][0] \n activation_59[0][0] \n__________________________________________________________________________________________________\nblock35_8_conv (Conv2D) (None, 29, 29, 320) 41280 block35_8_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_8 (Lambda) (None, 29, 29, 320) 0 block35_7_ac[0][0] \n block35_8_conv[0][0] \n__________________________________________________________________________________________________\nblock35_8_ac (Activation) (None, 29, 29, 320) 0 block35_8[0][0] \n__________________________________________________________________________________________________\nconv2d_63 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_63 (BatchNo (None, 29, 29, 32) 96 conv2d_63[0][0] \n__________________________________________________________________________________________________\nactivation_63 (Activation) (None, 29, 29, 32) 0 batch_normalization_63[0][0] \n__________________________________________________________________________________________________\nconv2d_61 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_64 (Conv2D) (None, 29, 29, 48) 13824 activation_63[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_61 (BatchNo (None, 29, 29, 32) 96 conv2d_61[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_64 (BatchNo (None, 29, 29, 48) 144 conv2d_64[0][0] \n__________________________________________________________________________________________________\nactivation_61 (Activation) (None, 29, 29, 32) 0 batch_normalization_61[0][0] \n__________________________________________________________________________________________________\nactivation_64 (Activation) (None, 29, 29, 48) 0 batch_normalization_64[0][0] \n__________________________________________________________________________________________________\nconv2d_60 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_62 (Conv2D) (None, 29, 29, 32) 9216 activation_61[0][0] \n__________________________________________________________________________________________________\nconv2d_65 (Conv2D) (None, 29, 29, 64) 27648 activation_64[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_60 (BatchNo (None, 29, 29, 32) 96 conv2d_60[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_62 (BatchNo (None, 29, 29, 32) 96 conv2d_62[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_65 (BatchNo (None, 29, 29, 64) 192 conv2d_65[0][0] \n__________________________________________________________________________________________________\nactivation_60 (Activation) (None, 29, 29, 32) 0 batch_normalization_60[0][0] \n__________________________________________________________________________________________________\nactivation_62 (Activation) (None, 29, 29, 32) 0 batch_normalization_62[0][0] \n__________________________________________________________________________________________________\nactivation_65 (Activation) (None, 29, 29, 64) 0 batch_normalization_65[0][0] \n__________________________________________________________________________________________________\nblock35_9_mixed (Concatenate) (None, 29, 29, 128) 0 activation_60[0][0] \n activation_62[0][0] \n activation_65[0][0] \n__________________________________________________________________________________________________\nblock35_9_conv (Conv2D) (None, 29, 29, 320) 41280 block35_9_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_9 (Lambda) (None, 29, 29, 320) 0 block35_8_ac[0][0] \n block35_9_conv[0][0] \n__________________________________________________________________________________________________\nblock35_9_ac (Activation) (None, 29, 29, 320) 0 block35_9[0][0] \n__________________________________________________________________________________________________\nconv2d_69 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_69 (BatchNo (None, 29, 29, 32) 96 conv2d_69[0][0] \n__________________________________________________________________________________________________\nactivation_69 (Activation) (None, 29, 29, 32) 0 batch_normalization_69[0][0] \n__________________________________________________________________________________________________\nconv2d_67 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_70 (Conv2D) (None, 29, 29, 48) 13824 activation_69[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_67 (BatchNo (None, 29, 29, 32) 96 conv2d_67[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_70 (BatchNo (None, 29, 29, 48) 144 conv2d_70[0][0] \n__________________________________________________________________________________________________\nactivation_67 (Activation) (None, 29, 29, 32) 0 batch_normalization_67[0][0] \n__________________________________________________________________________________________________\nactivation_70 (Activation) (None, 29, 29, 48) 0 batch_normalization_70[0][0] \n__________________________________________________________________________________________________\nconv2d_66 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_68 (Conv2D) (None, 29, 29, 32) 9216 activation_67[0][0] \n__________________________________________________________________________________________________\nconv2d_71 (Conv2D) (None, 29, 29, 64) 27648 activation_70[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_66 (BatchNo (None, 29, 29, 32) 96 conv2d_66[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_68 (BatchNo (None, 29, 29, 32) 96 conv2d_68[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_71 (BatchNo (None, 29, 29, 64) 192 conv2d_71[0][0] \n__________________________________________________________________________________________________\nactivation_66 (Activation) (None, 29, 29, 32) 0 batch_normalization_66[0][0] \n__________________________________________________________________________________________________\nactivation_68 (Activation) (None, 29, 29, 32) 0 batch_normalization_68[0][0] \n__________________________________________________________________________________________________\nactivation_71 (Activation) (None, 29, 29, 64) 0 batch_normalization_71[0][0] \n__________________________________________________________________________________________________\nblock35_10_mixed (Concatenate) (None, 29, 29, 128) 0 activation_66[0][0] \n activation_68[0][0] \n activation_71[0][0] \n__________________________________________________________________________________________________\nblock35_10_conv (Conv2D) (None, 29, 29, 320) 41280 block35_10_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_10 (Lambda) (None, 29, 29, 320) 0 block35_9_ac[0][0] \n block35_10_conv[0][0] \n__________________________________________________________________________________________________\nblock35_10_ac (Activation) (None, 29, 29, 320) 0 block35_10[0][0] \n__________________________________________________________________________________________________\nconv2d_73 (Conv2D) (None, 29, 29, 256) 81920 block35_10_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_73 (BatchNo (None, 29, 29, 256) 768 conv2d_73[0][0] \n__________________________________________________________________________________________________\nactivation_73 (Activation) (None, 29, 29, 256) 0 batch_normalization_73[0][0] \n__________________________________________________________________________________________________\nconv2d_74 (Conv2D) (None, 29, 29, 256) 589824 activation_73[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_74 (BatchNo (None, 29, 29, 256) 768 conv2d_74[0][0] \n__________________________________________________________________________________________________\nactivation_74 (Activation) (None, 29, 29, 256) 0 batch_normalization_74[0][0] \n__________________________________________________________________________________________________\nconv2d_72 (Conv2D) (None, 14, 14, 384) 1105920 block35_10_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_75 (Conv2D) (None, 14, 14, 384) 884736 activation_74[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_72 (BatchNo (None, 14, 14, 384) 1152 conv2d_72[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_75 (BatchNo (None, 14, 14, 384) 1152 conv2d_75[0][0] \n__________________________________________________________________________________________________\nactivation_72 (Activation) (None, 14, 14, 384) 0 batch_normalization_72[0][0] \n__________________________________________________________________________________________________\nactivation_75 (Activation) (None, 14, 14, 384) 0 batch_normalization_75[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_2 (MaxPooling2D) (None, 14, 14, 320) 0 block35_10_ac[0][0] \n__________________________________________________________________________________________________\nmixed_6a (Concatenate) (None, 14, 14, 1088) 0 activation_72[0][0] \n activation_75[0][0] \n max_pooling2d_2[0][0] \n__________________________________________________________________________________________________\nconv2d_77 (Conv2D) (None, 14, 14, 128) 139264 mixed_6a[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_77 (BatchNo (None, 14, 14, 128) 384 conv2d_77[0][0] \n__________________________________________________________________________________________________\nactivation_77 (Activation) (None, 14, 14, 128) 0 batch_normalization_77[0][0] \n__________________________________________________________________________________________________\nconv2d_78 (Conv2D) (None, 14, 14, 160) 143360 activation_77[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_78 (BatchNo (None, 14, 14, 160) 480 conv2d_78[0][0] \n__________________________________________________________________________________________________\nactivation_78 (Activation) (None, 14, 14, 160) 0 batch_normalization_78[0][0] \n__________________________________________________________________________________________________\nconv2d_76 (Conv2D) (None, 14, 14, 192) 208896 mixed_6a[0][0] \n__________________________________________________________________________________________________\nconv2d_79 (Conv2D) (None, 14, 14, 192) 215040 activation_78[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_76 (BatchNo (None, 14, 14, 192) 576 conv2d_76[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_79 (BatchNo (None, 14, 14, 192) 576 conv2d_79[0][0] \n__________________________________________________________________________________________________\nactivation_76 (Activation) (None, 14, 14, 192) 0 batch_normalization_76[0][0] \n__________________________________________________________________________________________________\nactivation_79 (Activation) (None, 14, 14, 192) 0 batch_normalization_79[0][0] \n__________________________________________________________________________________________________\nblock17_1_mixed (Concatenate) (None, 14, 14, 384) 0 activation_76[0][0] \n activation_79[0][0] \n__________________________________________________________________________________________________\nblock17_1_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_1_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_1 (Lambda) (None, 14, 14, 1088) 0 mixed_6a[0][0] \n block17_1_conv[0][0] \n__________________________________________________________________________________________________\nblock17_1_ac (Activation) (None, 14, 14, 1088) 0 block17_1[0][0] \n__________________________________________________________________________________________________\nconv2d_81 (Conv2D) (None, 14, 14, 128) 139264 block17_1_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_81 (BatchNo (None, 14, 14, 128) 384 conv2d_81[0][0] \n__________________________________________________________________________________________________\nactivation_81 (Activation) (None, 14, 14, 128) 0 batch_normalization_81[0][0] \n__________________________________________________________________________________________________\nconv2d_82 (Conv2D) (None, 14, 14, 160) 143360 activation_81[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_82 (BatchNo (None, 14, 14, 160) 480 conv2d_82[0][0] \n__________________________________________________________________________________________________\nactivation_82 (Activation) (None, 14, 14, 160) 0 batch_normalization_82[0][0] \n__________________________________________________________________________________________________\nconv2d_80 (Conv2D) (None, 14, 14, 192) 208896 block17_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_83 (Conv2D) (None, 14, 14, 192) 215040 activation_82[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_80 (BatchNo (None, 14, 14, 192) 576 conv2d_80[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_83 (BatchNo (None, 14, 14, 192) 576 conv2d_83[0][0] \n__________________________________________________________________________________________________\nactivation_80 (Activation) (None, 14, 14, 192) 0 batch_normalization_80[0][0] \n__________________________________________________________________________________________________\nactivation_83 (Activation) (None, 14, 14, 192) 0 batch_normalization_83[0][0] \n__________________________________________________________________________________________________\nblock17_2_mixed (Concatenate) (None, 14, 14, 384) 0 activation_80[0][0] \n activation_83[0][0] \n__________________________________________________________________________________________________\nblock17_2_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_2_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_2 (Lambda) (None, 14, 14, 1088) 0 block17_1_ac[0][0] \n block17_2_conv[0][0] \n__________________________________________________________________________________________________\nblock17_2_ac (Activation) (None, 14, 14, 1088) 0 block17_2[0][0] \n__________________________________________________________________________________________________\nconv2d_85 (Conv2D) (None, 14, 14, 128) 139264 block17_2_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_85 (BatchNo (None, 14, 14, 128) 384 conv2d_85[0][0] \n__________________________________________________________________________________________________\nactivation_85 (Activation) (None, 14, 14, 128) 0 batch_normalization_85[0][0] \n__________________________________________________________________________________________________\nconv2d_86 (Conv2D) (None, 14, 14, 160) 143360 activation_85[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_86 (BatchNo (None, 14, 14, 160) 480 conv2d_86[0][0] \n__________________________________________________________________________________________________\nactivation_86 (Activation) (None, 14, 14, 160) 0 batch_normalization_86[0][0] \n__________________________________________________________________________________________________\nconv2d_84 (Conv2D) (None, 14, 14, 192) 208896 block17_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_87 (Conv2D) (None, 14, 14, 192) 215040 activation_86[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_84 (BatchNo (None, 14, 14, 192) 576 conv2d_84[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_87 (BatchNo (None, 14, 14, 192) 576 conv2d_87[0][0] \n__________________________________________________________________________________________________\nactivation_84 (Activation) (None, 14, 14, 192) 0 batch_normalization_84[0][0] \n__________________________________________________________________________________________________\nactivation_87 (Activation) (None, 14, 14, 192) 0 batch_normalization_87[0][0] \n__________________________________________________________________________________________________\nblock17_3_mixed (Concatenate) (None, 14, 14, 384) 0 activation_84[0][0] \n activation_87[0][0] \n__________________________________________________________________________________________________\nblock17_3_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_3_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_3 (Lambda) (None, 14, 14, 1088) 0 block17_2_ac[0][0] \n block17_3_conv[0][0] \n__________________________________________________________________________________________________\nblock17_3_ac (Activation) (None, 14, 14, 1088) 0 block17_3[0][0] \n__________________________________________________________________________________________________\nconv2d_89 (Conv2D) (None, 14, 14, 128) 139264 block17_3_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_89 (BatchNo (None, 14, 14, 128) 384 conv2d_89[0][0] \n__________________________________________________________________________________________________\nactivation_89 (Activation) (None, 14, 14, 128) 0 batch_normalization_89[0][0] \n__________________________________________________________________________________________________\nconv2d_90 (Conv2D) (None, 14, 14, 160) 143360 activation_89[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_90 (BatchNo (None, 14, 14, 160) 480 conv2d_90[0][0] \n__________________________________________________________________________________________________\nactivation_90 (Activation) (None, 14, 14, 160) 0 batch_normalization_90[0][0] \n__________________________________________________________________________________________________\nconv2d_88 (Conv2D) (None, 14, 14, 192) 208896 block17_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_91 (Conv2D) (None, 14, 14, 192) 215040 activation_90[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_88 (BatchNo (None, 14, 14, 192) 576 conv2d_88[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_91 (BatchNo (None, 14, 14, 192) 576 conv2d_91[0][0] \n__________________________________________________________________________________________________\nactivation_88 (Activation) (None, 14, 14, 192) 0 batch_normalization_88[0][0] \n__________________________________________________________________________________________________\nactivation_91 (Activation) (None, 14, 14, 192) 0 batch_normalization_91[0][0] \n__________________________________________________________________________________________________\nblock17_4_mixed (Concatenate) (None, 14, 14, 384) 0 activation_88[0][0] \n activation_91[0][0] \n__________________________________________________________________________________________________\nblock17_4_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_4_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_4 (Lambda) (None, 14, 14, 1088) 0 block17_3_ac[0][0] \n block17_4_conv[0][0] \n__________________________________________________________________________________________________\nblock17_4_ac (Activation) (None, 14, 14, 1088) 0 block17_4[0][0] \n__________________________________________________________________________________________________\nconv2d_93 (Conv2D) (None, 14, 14, 128) 139264 block17_4_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_93 (BatchNo (None, 14, 14, 128) 384 conv2d_93[0][0] \n__________________________________________________________________________________________________\nactivation_93 (Activation) (None, 14, 14, 128) 0 batch_normalization_93[0][0] \n__________________________________________________________________________________________________\nconv2d_94 (Conv2D) (None, 14, 14, 160) 143360 activation_93[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_94 (BatchNo (None, 14, 14, 160) 480 conv2d_94[0][0] \n__________________________________________________________________________________________________\nactivation_94 (Activation) (None, 14, 14, 160) 0 batch_normalization_94[0][0] \n__________________________________________________________________________________________________\nconv2d_92 (Conv2D) (None, 14, 14, 192) 208896 block17_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_95 (Conv2D) (None, 14, 14, 192) 215040 activation_94[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_92 (BatchNo (None, 14, 14, 192) 576 conv2d_92[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_95 (BatchNo (None, 14, 14, 192) 576 conv2d_95[0][0] \n__________________________________________________________________________________________________\nactivation_92 (Activation) (None, 14, 14, 192) 0 batch_normalization_92[0][0] \n__________________________________________________________________________________________________\nactivation_95 (Activation) (None, 14, 14, 192) 0 batch_normalization_95[0][0] \n__________________________________________________________________________________________________\nblock17_5_mixed (Concatenate) (None, 14, 14, 384) 0 activation_92[0][0] \n activation_95[0][0] \n__________________________________________________________________________________________________\nblock17_5_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_5_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_5 (Lambda) (None, 14, 14, 1088) 0 block17_4_ac[0][0] \n block17_5_conv[0][0] \n__________________________________________________________________________________________________\nblock17_5_ac (Activation) (None, 14, 14, 1088) 0 block17_5[0][0] \n__________________________________________________________________________________________________\nconv2d_97 (Conv2D) (None, 14, 14, 128) 139264 block17_5_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_97 (BatchNo (None, 14, 14, 128) 384 conv2d_97[0][0] \n__________________________________________________________________________________________________\nactivation_97 (Activation) (None, 14, 14, 128) 0 batch_normalization_97[0][0] \n__________________________________________________________________________________________________\nconv2d_98 (Conv2D) (None, 14, 14, 160) 143360 activation_97[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_98 (BatchNo (None, 14, 14, 160) 480 conv2d_98[0][0] \n__________________________________________________________________________________________________\nactivation_98 (Activation) (None, 14, 14, 160) 0 batch_normalization_98[0][0] \n__________________________________________________________________________________________________\nconv2d_96 (Conv2D) (None, 14, 14, 192) 208896 block17_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_99 (Conv2D) (None, 14, 14, 192) 215040 activation_98[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_96 (BatchNo (None, 14, 14, 192) 576 conv2d_96[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_99 (BatchNo (None, 14, 14, 192) 576 conv2d_99[0][0] \n__________________________________________________________________________________________________\nactivation_96 (Activation) (None, 14, 14, 192) 0 batch_normalization_96[0][0] \n__________________________________________________________________________________________________\nactivation_99 (Activation) (None, 14, 14, 192) 0 batch_normalization_99[0][0] \n__________________________________________________________________________________________________\nblock17_6_mixed (Concatenate) (None, 14, 14, 384) 0 activation_96[0][0] \n activation_99[0][0] \n__________________________________________________________________________________________________\nblock17_6_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_6_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_6 (Lambda) (None, 14, 14, 1088) 0 block17_5_ac[0][0] \n block17_6_conv[0][0] \n__________________________________________________________________________________________________\nblock17_6_ac (Activation) (None, 14, 14, 1088) 0 block17_6[0][0] \n__________________________________________________________________________________________________\nconv2d_101 (Conv2D) (None, 14, 14, 128) 139264 block17_6_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_101 (BatchN (None, 14, 14, 128) 384 conv2d_101[0][0] \n__________________________________________________________________________________________________\nactivation_101 (Activation) (None, 14, 14, 128) 0 batch_normalization_101[0][0] \n__________________________________________________________________________________________________\nconv2d_102 (Conv2D) (None, 14, 14, 160) 143360 activation_101[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_102 (BatchN (None, 14, 14, 160) 480 conv2d_102[0][0] \n__________________________________________________________________________________________________\nactivation_102 (Activation) (None, 14, 14, 160) 0 batch_normalization_102[0][0] \n__________________________________________________________________________________________________\nconv2d_100 (Conv2D) (None, 14, 14, 192) 208896 block17_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_103 (Conv2D) (None, 14, 14, 192) 215040 activation_102[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_100 (BatchN (None, 14, 14, 192) 576 conv2d_100[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_103 (BatchN (None, 14, 14, 192) 576 conv2d_103[0][0] \n__________________________________________________________________________________________________\nactivation_100 (Activation) (None, 14, 14, 192) 0 batch_normalization_100[0][0] \n__________________________________________________________________________________________________\nactivation_103 (Activation) (None, 14, 14, 192) 0 batch_normalization_103[0][0] \n__________________________________________________________________________________________________\nblock17_7_mixed (Concatenate) (None, 14, 14, 384) 0 activation_100[0][0] \n activation_103[0][0] \n__________________________________________________________________________________________________\nblock17_7_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_7_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_7 (Lambda) (None, 14, 14, 1088) 0 block17_6_ac[0][0] \n block17_7_conv[0][0] \n__________________________________________________________________________________________________\nblock17_7_ac (Activation) (None, 14, 14, 1088) 0 block17_7[0][0] \n__________________________________________________________________________________________________\nconv2d_105 (Conv2D) (None, 14, 14, 128) 139264 block17_7_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_105 (BatchN (None, 14, 14, 128) 384 conv2d_105[0][0] \n__________________________________________________________________________________________________\nactivation_105 (Activation) (None, 14, 14, 128) 0 batch_normalization_105[0][0] \n__________________________________________________________________________________________________\nconv2d_106 (Conv2D) (None, 14, 14, 160) 143360 activation_105[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_106 (BatchN (None, 14, 14, 160) 480 conv2d_106[0][0] \n__________________________________________________________________________________________________\nactivation_106 (Activation) (None, 14, 14, 160) 0 batch_normalization_106[0][0] \n__________________________________________________________________________________________________\nconv2d_104 (Conv2D) (None, 14, 14, 192) 208896 block17_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_107 (Conv2D) (None, 14, 14, 192) 215040 activation_106[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_104 (BatchN (None, 14, 14, 192) 576 conv2d_104[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_107 (BatchN (None, 14, 14, 192) 576 conv2d_107[0][0] \n__________________________________________________________________________________________________\nactivation_104 (Activation) (None, 14, 14, 192) 0 batch_normalization_104[0][0] \n__________________________________________________________________________________________________\nactivation_107 (Activation) (None, 14, 14, 192) 0 batch_normalization_107[0][0] \n__________________________________________________________________________________________________\nblock17_8_mixed (Concatenate) (None, 14, 14, 384) 0 activation_104[0][0] \n activation_107[0][0] \n__________________________________________________________________________________________________\nblock17_8_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_8_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_8 (Lambda) (None, 14, 14, 1088) 0 block17_7_ac[0][0] \n block17_8_conv[0][0] \n__________________________________________________________________________________________________\nblock17_8_ac (Activation) (None, 14, 14, 1088) 0 block17_8[0][0] \n__________________________________________________________________________________________________\nconv2d_109 (Conv2D) (None, 14, 14, 128) 139264 block17_8_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_109 (BatchN (None, 14, 14, 128) 384 conv2d_109[0][0] \n__________________________________________________________________________________________________\nactivation_109 (Activation) (None, 14, 14, 128) 0 batch_normalization_109[0][0] \n__________________________________________________________________________________________________\nconv2d_110 (Conv2D) (None, 14, 14, 160) 143360 activation_109[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_110 (BatchN (None, 14, 14, 160) 480 conv2d_110[0][0] \n__________________________________________________________________________________________________\nactivation_110 (Activation) (None, 14, 14, 160) 0 batch_normalization_110[0][0] \n__________________________________________________________________________________________________\nconv2d_108 (Conv2D) (None, 14, 14, 192) 208896 block17_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_111 (Conv2D) (None, 14, 14, 192) 215040 activation_110[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_108 (BatchN (None, 14, 14, 192) 576 conv2d_108[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_111 (BatchN (None, 14, 14, 192) 576 conv2d_111[0][0] \n__________________________________________________________________________________________________\nactivation_108 (Activation) (None, 14, 14, 192) 0 batch_normalization_108[0][0] \n__________________________________________________________________________________________________\nactivation_111 (Activation) (None, 14, 14, 192) 0 batch_normalization_111[0][0] \n__________________________________________________________________________________________________\nblock17_9_mixed (Concatenate) (None, 14, 14, 384) 0 activation_108[0][0] \n activation_111[0][0] \n__________________________________________________________________________________________________\nblock17_9_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_9_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_9 (Lambda) (None, 14, 14, 1088) 0 block17_8_ac[0][0] \n block17_9_conv[0][0] \n__________________________________________________________________________________________________\nblock17_9_ac (Activation) (None, 14, 14, 1088) 0 block17_9[0][0] \n__________________________________________________________________________________________________\nconv2d_113 (Conv2D) (None, 14, 14, 128) 139264 block17_9_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_113 (BatchN (None, 14, 14, 128) 384 conv2d_113[0][0] \n__________________________________________________________________________________________________\nactivation_113 (Activation) (None, 14, 14, 128) 0 batch_normalization_113[0][0] \n__________________________________________________________________________________________________\nconv2d_114 (Conv2D) (None, 14, 14, 160) 143360 activation_113[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_114 (BatchN (None, 14, 14, 160) 480 conv2d_114[0][0] \n__________________________________________________________________________________________________\nactivation_114 (Activation) (None, 14, 14, 160) 0 batch_normalization_114[0][0] \n__________________________________________________________________________________________________\nconv2d_112 (Conv2D) (None, 14, 14, 192) 208896 block17_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_115 (Conv2D) (None, 14, 14, 192) 215040 activation_114[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_112 (BatchN (None, 14, 14, 192) 576 conv2d_112[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_115 (BatchN (None, 14, 14, 192) 576 conv2d_115[0][0] \n__________________________________________________________________________________________________\nactivation_112 (Activation) (None, 14, 14, 192) 0 batch_normalization_112[0][0] \n__________________________________________________________________________________________________\nactivation_115 (Activation) (None, 14, 14, 192) 0 batch_normalization_115[0][0] \n__________________________________________________________________________________________________\nblock17_10_mixed (Concatenate) (None, 14, 14, 384) 0 activation_112[0][0] \n activation_115[0][0] \n__________________________________________________________________________________________________\nblock17_10_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_10_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_10 (Lambda) (None, 14, 14, 1088) 0 block17_9_ac[0][0] \n block17_10_conv[0][0] \n__________________________________________________________________________________________________\nblock17_10_ac (Activation) (None, 14, 14, 1088) 0 block17_10[0][0] \n__________________________________________________________________________________________________\nconv2d_117 (Conv2D) (None, 14, 14, 128) 139264 block17_10_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_117 (BatchN (None, 14, 14, 128) 384 conv2d_117[0][0] \n__________________________________________________________________________________________________\nactivation_117 (Activation) (None, 14, 14, 128) 0 batch_normalization_117[0][0] \n__________________________________________________________________________________________________\nconv2d_118 (Conv2D) (None, 14, 14, 160) 143360 activation_117[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_118 (BatchN (None, 14, 14, 160) 480 conv2d_118[0][0] \n__________________________________________________________________________________________________\nactivation_118 (Activation) (None, 14, 14, 160) 0 batch_normalization_118[0][0] \n__________________________________________________________________________________________________\nconv2d_116 (Conv2D) (None, 14, 14, 192) 208896 block17_10_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_119 (Conv2D) (None, 14, 14, 192) 215040 activation_118[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_116 (BatchN (None, 14, 14, 192) 576 conv2d_116[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_119 (BatchN (None, 14, 14, 192) 576 conv2d_119[0][0] \n__________________________________________________________________________________________________\nactivation_116 (Activation) (None, 14, 14, 192) 0 batch_normalization_116[0][0] \n__________________________________________________________________________________________________\nactivation_119 (Activation) (None, 14, 14, 192) 0 batch_normalization_119[0][0] \n__________________________________________________________________________________________________\nblock17_11_mixed (Concatenate) (None, 14, 14, 384) 0 activation_116[0][0] \n activation_119[0][0] \n__________________________________________________________________________________________________\nblock17_11_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_11_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_11 (Lambda) (None, 14, 14, 1088) 0 block17_10_ac[0][0] \n block17_11_conv[0][0] \n__________________________________________________________________________________________________\nblock17_11_ac (Activation) (None, 14, 14, 1088) 0 block17_11[0][0] \n__________________________________________________________________________________________________\nconv2d_121 (Conv2D) (None, 14, 14, 128) 139264 block17_11_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_121 (BatchN (None, 14, 14, 128) 384 conv2d_121[0][0] \n__________________________________________________________________________________________________\nactivation_121 (Activation) (None, 14, 14, 128) 0 batch_normalization_121[0][0] \n__________________________________________________________________________________________________\nconv2d_122 (Conv2D) (None, 14, 14, 160) 143360 activation_121[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_122 (BatchN (None, 14, 14, 160) 480 conv2d_122[0][0] \n__________________________________________________________________________________________________\nactivation_122 (Activation) (None, 14, 14, 160) 0 batch_normalization_122[0][0] \n__________________________________________________________________________________________________\nconv2d_120 (Conv2D) (None, 14, 14, 192) 208896 block17_11_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_123 (Conv2D) (None, 14, 14, 192) 215040 activation_122[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_120 (BatchN (None, 14, 14, 192) 576 conv2d_120[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_123 (BatchN (None, 14, 14, 192) 576 conv2d_123[0][0] \n__________________________________________________________________________________________________\nactivation_120 (Activation) (None, 14, 14, 192) 0 batch_normalization_120[0][0] \n__________________________________________________________________________________________________\nactivation_123 (Activation) (None, 14, 14, 192) 0 batch_normalization_123[0][0] \n__________________________________________________________________________________________________\nblock17_12_mixed (Concatenate) (None, 14, 14, 384) 0 activation_120[0][0] \n activation_123[0][0] \n__________________________________________________________________________________________________\nblock17_12_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_12_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_12 (Lambda) (None, 14, 14, 1088) 0 block17_11_ac[0][0] \n block17_12_conv[0][0] \n__________________________________________________________________________________________________\nblock17_12_ac (Activation) (None, 14, 14, 1088) 0 block17_12[0][0] \n__________________________________________________________________________________________________\nconv2d_125 (Conv2D) (None, 14, 14, 128) 139264 block17_12_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_125 (BatchN (None, 14, 14, 128) 384 conv2d_125[0][0] \n__________________________________________________________________________________________________\nactivation_125 (Activation) (None, 14, 14, 128) 0 batch_normalization_125[0][0] \n__________________________________________________________________________________________________\nconv2d_126 (Conv2D) (None, 14, 14, 160) 143360 activation_125[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_126 (BatchN (None, 14, 14, 160) 480 conv2d_126[0][0] \n__________________________________________________________________________________________________\nactivation_126 (Activation) (None, 14, 14, 160) 0 batch_normalization_126[0][0] \n__________________________________________________________________________________________________\nconv2d_124 (Conv2D) (None, 14, 14, 192) 208896 block17_12_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_127 (Conv2D) (None, 14, 14, 192) 215040 activation_126[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_124 (BatchN (None, 14, 14, 192) 576 conv2d_124[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_127 (BatchN (None, 14, 14, 192) 576 conv2d_127[0][0] \n__________________________________________________________________________________________________\nactivation_124 (Activation) (None, 14, 14, 192) 0 batch_normalization_124[0][0] \n__________________________________________________________________________________________________\nactivation_127 (Activation) (None, 14, 14, 192) 0 batch_normalization_127[0][0] \n__________________________________________________________________________________________________\nblock17_13_mixed (Concatenate) (None, 14, 14, 384) 0 activation_124[0][0] \n activation_127[0][0] \n__________________________________________________________________________________________________\nblock17_13_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_13_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_13 (Lambda) (None, 14, 14, 1088) 0 block17_12_ac[0][0] \n block17_13_conv[0][0] \n__________________________________________________________________________________________________\nblock17_13_ac (Activation) (None, 14, 14, 1088) 0 block17_13[0][0] \n__________________________________________________________________________________________________\nconv2d_129 (Conv2D) (None, 14, 14, 128) 139264 block17_13_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_129 (BatchN (None, 14, 14, 128) 384 conv2d_129[0][0] \n__________________________________________________________________________________________________\nactivation_129 (Activation) (None, 14, 14, 128) 0 batch_normalization_129[0][0] \n__________________________________________________________________________________________________\nconv2d_130 (Conv2D) (None, 14, 14, 160) 143360 activation_129[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_130 (BatchN (None, 14, 14, 160) 480 conv2d_130[0][0] \n__________________________________________________________________________________________________\nactivation_130 (Activation) (None, 14, 14, 160) 0 batch_normalization_130[0][0] \n__________________________________________________________________________________________________\nconv2d_128 (Conv2D) (None, 14, 14, 192) 208896 block17_13_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_131 (Conv2D) (None, 14, 14, 192) 215040 activation_130[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_128 (BatchN (None, 14, 14, 192) 576 conv2d_128[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_131 (BatchN (None, 14, 14, 192) 576 conv2d_131[0][0] \n__________________________________________________________________________________________________\nactivation_128 (Activation) (None, 14, 14, 192) 0 batch_normalization_128[0][0] \n__________________________________________________________________________________________________\nactivation_131 (Activation) (None, 14, 14, 192) 0 batch_normalization_131[0][0] \n__________________________________________________________________________________________________\nblock17_14_mixed (Concatenate) (None, 14, 14, 384) 0 activation_128[0][0] \n activation_131[0][0] \n__________________________________________________________________________________________________\nblock17_14_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_14_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_14 (Lambda) (None, 14, 14, 1088) 0 block17_13_ac[0][0] \n block17_14_conv[0][0] \n__________________________________________________________________________________________________\nblock17_14_ac (Activation) (None, 14, 14, 1088) 0 block17_14[0][0] \n__________________________________________________________________________________________________\nconv2d_133 (Conv2D) (None, 14, 14, 128) 139264 block17_14_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_133 (BatchN (None, 14, 14, 128) 384 conv2d_133[0][0] \n__________________________________________________________________________________________________\nactivation_133 (Activation) (None, 14, 14, 128) 0 batch_normalization_133[0][0] \n__________________________________________________________________________________________________\nconv2d_134 (Conv2D) (None, 14, 14, 160) 143360 activation_133[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_134 (BatchN (None, 14, 14, 160) 480 conv2d_134[0][0] \n__________________________________________________________________________________________________\nactivation_134 (Activation) (None, 14, 14, 160) 0 batch_normalization_134[0][0] \n__________________________________________________________________________________________________\nconv2d_132 (Conv2D) (None, 14, 14, 192) 208896 block17_14_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_135 (Conv2D) (None, 14, 14, 192) 215040 activation_134[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_132 (BatchN (None, 14, 14, 192) 576 conv2d_132[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_135 (BatchN (None, 14, 14, 192) 576 conv2d_135[0][0] \n__________________________________________________________________________________________________\nactivation_132 (Activation) (None, 14, 14, 192) 0 batch_normalization_132[0][0] \n__________________________________________________________________________________________________\nactivation_135 (Activation) (None, 14, 14, 192) 0 batch_normalization_135[0][0] \n__________________________________________________________________________________________________\nblock17_15_mixed (Concatenate) (None, 14, 14, 384) 0 activation_132[0][0] \n activation_135[0][0] \n__________________________________________________________________________________________________\nblock17_15_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_15_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_15 (Lambda) (None, 14, 14, 1088) 0 block17_14_ac[0][0] \n block17_15_conv[0][0] \n__________________________________________________________________________________________________\nblock17_15_ac (Activation) (None, 14, 14, 1088) 0 block17_15[0][0] \n__________________________________________________________________________________________________\nconv2d_137 (Conv2D) (None, 14, 14, 128) 139264 block17_15_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_137 (BatchN (None, 14, 14, 128) 384 conv2d_137[0][0] \n__________________________________________________________________________________________________\nactivation_137 (Activation) (None, 14, 14, 128) 0 batch_normalization_137[0][0] \n__________________________________________________________________________________________________\nconv2d_138 (Conv2D) (None, 14, 14, 160) 143360 activation_137[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_138 (BatchN (None, 14, 14, 160) 480 conv2d_138[0][0] \n__________________________________________________________________________________________________\nactivation_138 (Activation) (None, 14, 14, 160) 0 batch_normalization_138[0][0] \n__________________________________________________________________________________________________\nconv2d_136 (Conv2D) (None, 14, 14, 192) 208896 block17_15_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_139 (Conv2D) (None, 14, 14, 192) 215040 activation_138[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_136 (BatchN (None, 14, 14, 192) 576 conv2d_136[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_139 (BatchN (None, 14, 14, 192) 576 conv2d_139[0][0] \n__________________________________________________________________________________________________\nactivation_136 (Activation) (None, 14, 14, 192) 0 batch_normalization_136[0][0] \n__________________________________________________________________________________________________\nactivation_139 (Activation) (None, 14, 14, 192) 0 batch_normalization_139[0][0] \n__________________________________________________________________________________________________\nblock17_16_mixed (Concatenate) (None, 14, 14, 384) 0 activation_136[0][0] \n activation_139[0][0] \n__________________________________________________________________________________________________\nblock17_16_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_16_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_16 (Lambda) (None, 14, 14, 1088) 0 block17_15_ac[0][0] \n block17_16_conv[0][0] \n__________________________________________________________________________________________________\nblock17_16_ac (Activation) (None, 14, 14, 1088) 0 block17_16[0][0] \n__________________________________________________________________________________________________\nconv2d_141 (Conv2D) (None, 14, 14, 128) 139264 block17_16_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_141 (BatchN (None, 14, 14, 128) 384 conv2d_141[0][0] \n__________________________________________________________________________________________________\nactivation_141 (Activation) (None, 14, 14, 128) 0 batch_normalization_141[0][0] \n__________________________________________________________________________________________________\nconv2d_142 (Conv2D) (None, 14, 14, 160) 143360 activation_141[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_142 (BatchN (None, 14, 14, 160) 480 conv2d_142[0][0] \n__________________________________________________________________________________________________\nactivation_142 (Activation) (None, 14, 14, 160) 0 batch_normalization_142[0][0] \n__________________________________________________________________________________________________\nconv2d_140 (Conv2D) (None, 14, 14, 192) 208896 block17_16_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_143 (Conv2D) (None, 14, 14, 192) 215040 activation_142[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_140 (BatchN (None, 14, 14, 192) 576 conv2d_140[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_143 (BatchN (None, 14, 14, 192) 576 conv2d_143[0][0] \n__________________________________________________________________________________________________\nactivation_140 (Activation) (None, 14, 14, 192) 0 batch_normalization_140[0][0] \n__________________________________________________________________________________________________\nactivation_143 (Activation) (None, 14, 14, 192) 0 batch_normalization_143[0][0] \n__________________________________________________________________________________________________\nblock17_17_mixed (Concatenate) (None, 14, 14, 384) 0 activation_140[0][0] \n activation_143[0][0] \n__________________________________________________________________________________________________\nblock17_17_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_17_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_17 (Lambda) (None, 14, 14, 1088) 0 block17_16_ac[0][0] \n block17_17_conv[0][0] \n__________________________________________________________________________________________________\nblock17_17_ac (Activation) (None, 14, 14, 1088) 0 block17_17[0][0] \n__________________________________________________________________________________________________\nconv2d_145 (Conv2D) (None, 14, 14, 128) 139264 block17_17_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_145 (BatchN (None, 14, 14, 128) 384 conv2d_145[0][0] \n__________________________________________________________________________________________________\nactivation_145 (Activation) (None, 14, 14, 128) 0 batch_normalization_145[0][0] \n__________________________________________________________________________________________________\nconv2d_146 (Conv2D) (None, 14, 14, 160) 143360 activation_145[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_146 (BatchN (None, 14, 14, 160) 480 conv2d_146[0][0] \n__________________________________________________________________________________________________\nactivation_146 (Activation) (None, 14, 14, 160) 0 batch_normalization_146[0][0] \n__________________________________________________________________________________________________\nconv2d_144 (Conv2D) (None, 14, 14, 192) 208896 block17_17_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_147 (Conv2D) (None, 14, 14, 192) 215040 activation_146[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_144 (BatchN (None, 14, 14, 192) 576 conv2d_144[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_147 (BatchN (None, 14, 14, 192) 576 conv2d_147[0][0] \n__________________________________________________________________________________________________\nactivation_144 (Activation) (None, 14, 14, 192) 0 batch_normalization_144[0][0] \n__________________________________________________________________________________________________\nactivation_147 (Activation) (None, 14, 14, 192) 0 batch_normalization_147[0][0] \n__________________________________________________________________________________________________\nblock17_18_mixed (Concatenate) (None, 14, 14, 384) 0 activation_144[0][0] \n activation_147[0][0] \n__________________________________________________________________________________________________\nblock17_18_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_18_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_18 (Lambda) (None, 14, 14, 1088) 0 block17_17_ac[0][0] \n block17_18_conv[0][0] \n__________________________________________________________________________________________________\nblock17_18_ac (Activation) (None, 14, 14, 1088) 0 block17_18[0][0] \n__________________________________________________________________________________________________\nconv2d_149 (Conv2D) (None, 14, 14, 128) 139264 block17_18_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_149 (BatchN (None, 14, 14, 128) 384 conv2d_149[0][0] \n__________________________________________________________________________________________________\nactivation_149 (Activation) (None, 14, 14, 128) 0 batch_normalization_149[0][0] \n__________________________________________________________________________________________________\nconv2d_150 (Conv2D) (None, 14, 14, 160) 143360 activation_149[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_150 (BatchN (None, 14, 14, 160) 480 conv2d_150[0][0] \n__________________________________________________________________________________________________\nactivation_150 (Activation) (None, 14, 14, 160) 0 batch_normalization_150[0][0] \n__________________________________________________________________________________________________\nconv2d_148 (Conv2D) (None, 14, 14, 192) 208896 block17_18_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_151 (Conv2D) (None, 14, 14, 192) 215040 activation_150[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_148 (BatchN (None, 14, 14, 192) 576 conv2d_148[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_151 (BatchN (None, 14, 14, 192) 576 conv2d_151[0][0] \n__________________________________________________________________________________________________\nactivation_148 (Activation) (None, 14, 14, 192) 0 batch_normalization_148[0][0] \n__________________________________________________________________________________________________\nactivation_151 (Activation) (None, 14, 14, 192) 0 batch_normalization_151[0][0] \n__________________________________________________________________________________________________\nblock17_19_mixed (Concatenate) (None, 14, 14, 384) 0 activation_148[0][0] \n activation_151[0][0] \n__________________________________________________________________________________________________\nblock17_19_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_19_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_19 (Lambda) (None, 14, 14, 1088) 0 block17_18_ac[0][0] \n block17_19_conv[0][0] \n__________________________________________________________________________________________________\nblock17_19_ac (Activation) (None, 14, 14, 1088) 0 block17_19[0][0] \n__________________________________________________________________________________________________\nconv2d_153 (Conv2D) (None, 14, 14, 128) 139264 block17_19_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_153 (BatchN (None, 14, 14, 128) 384 conv2d_153[0][0] \n__________________________________________________________________________________________________\nactivation_153 (Activation) (None, 14, 14, 128) 0 batch_normalization_153[0][0] \n__________________________________________________________________________________________________\nconv2d_154 (Conv2D) (None, 14, 14, 160) 143360 activation_153[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_154 (BatchN (None, 14, 14, 160) 480 conv2d_154[0][0] \n__________________________________________________________________________________________________\nactivation_154 (Activation) (None, 14, 14, 160) 0 batch_normalization_154[0][0] \n__________________________________________________________________________________________________\nconv2d_152 (Conv2D) (None, 14, 14, 192) 208896 block17_19_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_155 (Conv2D) (None, 14, 14, 192) 215040 activation_154[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_152 (BatchN (None, 14, 14, 192) 576 conv2d_152[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_155 (BatchN (None, 14, 14, 192) 576 conv2d_155[0][0] \n__________________________________________________________________________________________________\nactivation_152 (Activation) (None, 14, 14, 192) 0 batch_normalization_152[0][0] \n__________________________________________________________________________________________________\nactivation_155 (Activation) (None, 14, 14, 192) 0 batch_normalization_155[0][0] \n__________________________________________________________________________________________________\nblock17_20_mixed (Concatenate) (None, 14, 14, 384) 0 activation_152[0][0] \n activation_155[0][0] \n__________________________________________________________________________________________________\nblock17_20_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_20_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_20 (Lambda) (None, 14, 14, 1088) 0 block17_19_ac[0][0] \n block17_20_conv[0][0] \n__________________________________________________________________________________________________\nblock17_20_ac (Activation) (None, 14, 14, 1088) 0 block17_20[0][0] \n__________________________________________________________________________________________________\nconv2d_160 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_160 (BatchN (None, 14, 14, 256) 768 conv2d_160[0][0] \n__________________________________________________________________________________________________\nactivation_160 (Activation) (None, 14, 14, 256) 0 batch_normalization_160[0][0] \n__________________________________________________________________________________________________\nconv2d_156 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_158 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_161 (Conv2D) (None, 14, 14, 288) 663552 activation_160[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_156 (BatchN (None, 14, 14, 256) 768 conv2d_156[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_158 (BatchN (None, 14, 14, 256) 768 conv2d_158[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_161 (BatchN (None, 14, 14, 288) 864 conv2d_161[0][0] \n__________________________________________________________________________________________________\nactivation_156 (Activation) (None, 14, 14, 256) 0 batch_normalization_156[0][0] \n__________________________________________________________________________________________________\nactivation_158 (Activation) (None, 14, 14, 256) 0 batch_normalization_158[0][0] \n__________________________________________________________________________________________________\nactivation_161 (Activation) (None, 14, 14, 288) 0 batch_normalization_161[0][0] \n__________________________________________________________________________________________________\nconv2d_157 (Conv2D) (None, 6, 6, 384) 884736 activation_156[0][0] \n__________________________________________________________________________________________________\nconv2d_159 (Conv2D) (None, 6, 6, 288) 663552 activation_158[0][0] \n__________________________________________________________________________________________________\nconv2d_162 (Conv2D) (None, 6, 6, 320) 829440 activation_161[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_157 (BatchN (None, 6, 6, 384) 1152 conv2d_157[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_159 (BatchN (None, 6, 6, 288) 864 conv2d_159[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_162 (BatchN (None, 6, 6, 320) 960 conv2d_162[0][0] \n__________________________________________________________________________________________________\nactivation_157 (Activation) (None, 6, 6, 384) 0 batch_normalization_157[0][0] \n__________________________________________________________________________________________________\nactivation_159 (Activation) (None, 6, 6, 288) 0 batch_normalization_159[0][0] \n__________________________________________________________________________________________________\nactivation_162 (Activation) (None, 6, 6, 320) 0 batch_normalization_162[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_3 (MaxPooling2D) (None, 6, 6, 1088) 0 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nmixed_7a (Concatenate) (None, 6, 6, 2080) 0 activation_157[0][0] \n activation_159[0][0] \n activation_162[0][0] \n max_pooling2d_3[0][0] \n__________________________________________________________________________________________________\nconv2d_164 (Conv2D) (None, 6, 6, 192) 399360 mixed_7a[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_164 (BatchN (None, 6, 6, 192) 576 conv2d_164[0][0] \n__________________________________________________________________________________________________\nactivation_164 (Activation) (None, 6, 6, 192) 0 batch_normalization_164[0][0] \n__________________________________________________________________________________________________\nconv2d_165 (Conv2D) (None, 6, 6, 224) 129024 activation_164[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_165 (BatchN (None, 6, 6, 224) 672 conv2d_165[0][0] \n__________________________________________________________________________________________________\nactivation_165 (Activation) (None, 6, 6, 224) 0 batch_normalization_165[0][0] \n__________________________________________________________________________________________________\nconv2d_163 (Conv2D) (None, 6, 6, 192) 399360 mixed_7a[0][0] \n__________________________________________________________________________________________________\nconv2d_166 (Conv2D) (None, 6, 6, 256) 172032 activation_165[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_163 (BatchN (None, 6, 6, 192) 576 conv2d_163[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_166 (BatchN (None, 6, 6, 256) 768 conv2d_166[0][0] \n__________________________________________________________________________________________________\nactivation_163 (Activation) (None, 6, 6, 192) 0 batch_normalization_163[0][0] \n__________________________________________________________________________________________________\nactivation_166 (Activation) (None, 6, 6, 256) 0 batch_normalization_166[0][0] \n__________________________________________________________________________________________________\nblock8_1_mixed (Concatenate) (None, 6, 6, 448) 0 activation_163[0][0] \n activation_166[0][0] \n__________________________________________________________________________________________________\nblock8_1_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_1_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_1 (Lambda) (None, 6, 6, 2080) 0 mixed_7a[0][0] \n block8_1_conv[0][0] \n__________________________________________________________________________________________________\nblock8_1_ac (Activation) (None, 6, 6, 2080) 0 block8_1[0][0] \n__________________________________________________________________________________________________\nconv2d_168 (Conv2D) (None, 6, 6, 192) 399360 block8_1_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_168 (BatchN (None, 6, 6, 192) 576 conv2d_168[0][0] \n__________________________________________________________________________________________________\nactivation_168 (Activation) (None, 6, 6, 192) 0 batch_normalization_168[0][0] \n__________________________________________________________________________________________________\nconv2d_169 (Conv2D) (None, 6, 6, 224) 129024 activation_168[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_169 (BatchN (None, 6, 6, 224) 672 conv2d_169[0][0] \n__________________________________________________________________________________________________\nactivation_169 (Activation) (None, 6, 6, 224) 0 batch_normalization_169[0][0] \n__________________________________________________________________________________________________\nconv2d_167 (Conv2D) (None, 6, 6, 192) 399360 block8_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_170 (Conv2D) (None, 6, 6, 256) 172032 activation_169[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_167 (BatchN (None, 6, 6, 192) 576 conv2d_167[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_170 (BatchN (None, 6, 6, 256) 768 conv2d_170[0][0] \n__________________________________________________________________________________________________\nactivation_167 (Activation) (None, 6, 6, 192) 0 batch_normalization_167[0][0] \n__________________________________________________________________________________________________\nactivation_170 (Activation) (None, 6, 6, 256) 0 batch_normalization_170[0][0] \n__________________________________________________________________________________________________\nblock8_2_mixed (Concatenate) (None, 6, 6, 448) 0 activation_167[0][0] \n activation_170[0][0] \n__________________________________________________________________________________________________\nblock8_2_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_2_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_2 (Lambda) (None, 6, 6, 2080) 0 block8_1_ac[0][0] \n block8_2_conv[0][0] \n__________________________________________________________________________________________________\nblock8_2_ac (Activation) (None, 6, 6, 2080) 0 block8_2[0][0] \n__________________________________________________________________________________________________\nconv2d_172 (Conv2D) (None, 6, 6, 192) 399360 block8_2_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_172 (BatchN (None, 6, 6, 192) 576 conv2d_172[0][0] \n__________________________________________________________________________________________________\nactivation_172 (Activation) (None, 6, 6, 192) 0 batch_normalization_172[0][0] \n__________________________________________________________________________________________________\nconv2d_173 (Conv2D) (None, 6, 6, 224) 129024 activation_172[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_173 (BatchN (None, 6, 6, 224) 672 conv2d_173[0][0] \n__________________________________________________________________________________________________\nactivation_173 (Activation) (None, 6, 6, 224) 0 batch_normalization_173[0][0] \n__________________________________________________________________________________________________\nconv2d_171 (Conv2D) (None, 6, 6, 192) 399360 block8_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_174 (Conv2D) (None, 6, 6, 256) 172032 activation_173[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_171 (BatchN (None, 6, 6, 192) 576 conv2d_171[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_174 (BatchN (None, 6, 6, 256) 768 conv2d_174[0][0] \n__________________________________________________________________________________________________\nactivation_171 (Activation) (None, 6, 6, 192) 0 batch_normalization_171[0][0] \n__________________________________________________________________________________________________\nactivation_174 (Activation) (None, 6, 6, 256) 0 batch_normalization_174[0][0] \n__________________________________________________________________________________________________\nblock8_3_mixed (Concatenate) (None, 6, 6, 448) 0 activation_171[0][0] \n activation_174[0][0] \n__________________________________________________________________________________________________\nblock8_3_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_3_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_3 (Lambda) (None, 6, 6, 2080) 0 block8_2_ac[0][0] \n block8_3_conv[0][0] \n__________________________________________________________________________________________________\nblock8_3_ac (Activation) (None, 6, 6, 2080) 0 block8_3[0][0] \n__________________________________________________________________________________________________\nconv2d_176 (Conv2D) (None, 6, 6, 192) 399360 block8_3_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_176 (BatchN (None, 6, 6, 192) 576 conv2d_176[0][0] \n__________________________________________________________________________________________________\nactivation_176 (Activation) (None, 6, 6, 192) 0 batch_normalization_176[0][0] \n__________________________________________________________________________________________________\nconv2d_177 (Conv2D) (None, 6, 6, 224) 129024 activation_176[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_177 (BatchN (None, 6, 6, 224) 672 conv2d_177[0][0] \n__________________________________________________________________________________________________\nactivation_177 (Activation) (None, 6, 6, 224) 0 batch_normalization_177[0][0] \n__________________________________________________________________________________________________\nconv2d_175 (Conv2D) (None, 6, 6, 192) 399360 block8_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_178 (Conv2D) (None, 6, 6, 256) 172032 activation_177[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_175 (BatchN (None, 6, 6, 192) 576 conv2d_175[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_178 (BatchN (None, 6, 6, 256) 768 conv2d_178[0][0] \n__________________________________________________________________________________________________\nactivation_175 (Activation) (None, 6, 6, 192) 0 batch_normalization_175[0][0] \n__________________________________________________________________________________________________\nactivation_178 (Activation) (None, 6, 6, 256) 0 batch_normalization_178[0][0] \n__________________________________________________________________________________________________\nblock8_4_mixed (Concatenate) (None, 6, 6, 448) 0 activation_175[0][0] \n activation_178[0][0] \n__________________________________________________________________________________________________\nblock8_4_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_4_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_4 (Lambda) (None, 6, 6, 2080) 0 block8_3_ac[0][0] \n block8_4_conv[0][0] \n__________________________________________________________________________________________________\nblock8_4_ac (Activation) (None, 6, 6, 2080) 0 block8_4[0][0] \n__________________________________________________________________________________________________\nconv2d_180 (Conv2D) (None, 6, 6, 192) 399360 block8_4_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_180 (BatchN (None, 6, 6, 192) 576 conv2d_180[0][0] \n__________________________________________________________________________________________________\nactivation_180 (Activation) (None, 6, 6, 192) 0 batch_normalization_180[0][0] \n__________________________________________________________________________________________________\nconv2d_181 (Conv2D) (None, 6, 6, 224) 129024 activation_180[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_181 (BatchN (None, 6, 6, 224) 672 conv2d_181[0][0] \n__________________________________________________________________________________________________\nactivation_181 (Activation) (None, 6, 6, 224) 0 batch_normalization_181[0][0] \n__________________________________________________________________________________________________\nconv2d_179 (Conv2D) (None, 6, 6, 192) 399360 block8_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_182 (Conv2D) (None, 6, 6, 256) 172032 activation_181[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_179 (BatchN (None, 6, 6, 192) 576 conv2d_179[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_182 (BatchN (None, 6, 6, 256) 768 conv2d_182[0][0] \n__________________________________________________________________________________________________\nactivation_179 (Activation) (None, 6, 6, 192) 0 batch_normalization_179[0][0] \n__________________________________________________________________________________________________\nactivation_182 (Activation) (None, 6, 6, 256) 0 batch_normalization_182[0][0] \n__________________________________________________________________________________________________\nblock8_5_mixed (Concatenate) (None, 6, 6, 448) 0 activation_179[0][0] \n activation_182[0][0] \n__________________________________________________________________________________________________\nblock8_5_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_5_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_5 (Lambda) (None, 6, 6, 2080) 0 block8_4_ac[0][0] \n block8_5_conv[0][0] \n__________________________________________________________________________________________________\nblock8_5_ac (Activation) (None, 6, 6, 2080) 0 block8_5[0][0] \n__________________________________________________________________________________________________\nconv2d_184 (Conv2D) (None, 6, 6, 192) 399360 block8_5_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_184 (BatchN (None, 6, 6, 192) 576 conv2d_184[0][0] \n__________________________________________________________________________________________________\nactivation_184 (Activation) (None, 6, 6, 192) 0 batch_normalization_184[0][0] \n__________________________________________________________________________________________________\nconv2d_185 (Conv2D) (None, 6, 6, 224) 129024 activation_184[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_185 (BatchN (None, 6, 6, 224) 672 conv2d_185[0][0] \n__________________________________________________________________________________________________\nactivation_185 (Activation) (None, 6, 6, 224) 0 batch_normalization_185[0][0] \n__________________________________________________________________________________________________\nconv2d_183 (Conv2D) (None, 6, 6, 192) 399360 block8_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_186 (Conv2D) (None, 6, 6, 256) 172032 activation_185[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_183 (BatchN (None, 6, 6, 192) 576 conv2d_183[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_186 (BatchN (None, 6, 6, 256) 768 conv2d_186[0][0] \n__________________________________________________________________________________________________\nactivation_183 (Activation) (None, 6, 6, 192) 0 batch_normalization_183[0][0] \n__________________________________________________________________________________________________\nactivation_186 (Activation) (None, 6, 6, 256) 0 batch_normalization_186[0][0] \n__________________________________________________________________________________________________\nblock8_6_mixed (Concatenate) (None, 6, 6, 448) 0 activation_183[0][0] \n activation_186[0][0] \n__________________________________________________________________________________________________\nblock8_6_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_6_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_6 (Lambda) (None, 6, 6, 2080) 0 block8_5_ac[0][0] \n block8_6_conv[0][0] \n__________________________________________________________________________________________________\nblock8_6_ac (Activation) (None, 6, 6, 2080) 0 block8_6[0][0] \n__________________________________________________________________________________________________\nconv2d_188 (Conv2D) (None, 6, 6, 192) 399360 block8_6_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_188 (BatchN (None, 6, 6, 192) 576 conv2d_188[0][0] \n__________________________________________________________________________________________________\nactivation_188 (Activation) (None, 6, 6, 192) 0 batch_normalization_188[0][0] \n__________________________________________________________________________________________________\nconv2d_189 (Conv2D) (None, 6, 6, 224) 129024 activation_188[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_189 (BatchN (None, 6, 6, 224) 672 conv2d_189[0][0] \n__________________________________________________________________________________________________\nactivation_189 (Activation) (None, 6, 6, 224) 0 batch_normalization_189[0][0] \n__________________________________________________________________________________________________\nconv2d_187 (Conv2D) (None, 6, 6, 192) 399360 block8_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_190 (Conv2D) (None, 6, 6, 256) 172032 activation_189[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_187 (BatchN (None, 6, 6, 192) 576 conv2d_187[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_190 (BatchN (None, 6, 6, 256) 768 conv2d_190[0][0] \n__________________________________________________________________________________________________\nactivation_187 (Activation) (None, 6, 6, 192) 0 batch_normalization_187[0][0] \n__________________________________________________________________________________________________\nactivation_190 (Activation) (None, 6, 6, 256) 0 batch_normalization_190[0][0] \n__________________________________________________________________________________________________\nblock8_7_mixed (Concatenate) (None, 6, 6, 448) 0 activation_187[0][0] \n activation_190[0][0] \n__________________________________________________________________________________________________\nblock8_7_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_7_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_7 (Lambda) (None, 6, 6, 2080) 0 block8_6_ac[0][0] \n block8_7_conv[0][0] \n__________________________________________________________________________________________________\nblock8_7_ac (Activation) (None, 6, 6, 2080) 0 block8_7[0][0] \n__________________________________________________________________________________________________\nconv2d_192 (Conv2D) (None, 6, 6, 192) 399360 block8_7_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_192 (BatchN (None, 6, 6, 192) 576 conv2d_192[0][0] \n__________________________________________________________________________________________________\nactivation_192 (Activation) (None, 6, 6, 192) 0 batch_normalization_192[0][0] \n__________________________________________________________________________________________________\nconv2d_193 (Conv2D) (None, 6, 6, 224) 129024 activation_192[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_193 (BatchN (None, 6, 6, 224) 672 conv2d_193[0][0] \n__________________________________________________________________________________________________\nactivation_193 (Activation) (None, 6, 6, 224) 0 batch_normalization_193[0][0] \n__________________________________________________________________________________________________\nconv2d_191 (Conv2D) (None, 6, 6, 192) 399360 block8_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_194 (Conv2D) (None, 6, 6, 256) 172032 activation_193[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_191 (BatchN (None, 6, 6, 192) 576 conv2d_191[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_194 (BatchN (None, 6, 6, 256) 768 conv2d_194[0][0] \n__________________________________________________________________________________________________\nactivation_191 (Activation) (None, 6, 6, 192) 0 batch_normalization_191[0][0] \n__________________________________________________________________________________________________\nactivation_194 (Activation) (None, 6, 6, 256) 0 batch_normalization_194[0][0] \n__________________________________________________________________________________________________\nblock8_8_mixed (Concatenate) (None, 6, 6, 448) 0 activation_191[0][0] \n activation_194[0][0] \n__________________________________________________________________________________________________\nblock8_8_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_8_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_8 (Lambda) (None, 6, 6, 2080) 0 block8_7_ac[0][0] \n block8_8_conv[0][0] \n__________________________________________________________________________________________________\nblock8_8_ac (Activation) (None, 6, 6, 2080) 0 block8_8[0][0] \n__________________________________________________________________________________________________\nconv2d_196 (Conv2D) (None, 6, 6, 192) 399360 block8_8_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_196 (BatchN (None, 6, 6, 192) 576 conv2d_196[0][0] \n__________________________________________________________________________________________________\nactivation_196 (Activation) (None, 6, 6, 192) 0 batch_normalization_196[0][0] \n__________________________________________________________________________________________________\nconv2d_197 (Conv2D) (None, 6, 6, 224) 129024 activation_196[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_197 (BatchN (None, 6, 6, 224) 672 conv2d_197[0][0] \n__________________________________________________________________________________________________\nactivation_197 (Activation) (None, 6, 6, 224) 0 batch_normalization_197[0][0] \n__________________________________________________________________________________________________\nconv2d_195 (Conv2D) (None, 6, 6, 192) 399360 block8_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_198 (Conv2D) (None, 6, 6, 256) 172032 activation_197[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_195 (BatchN (None, 6, 6, 192) 576 conv2d_195[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_198 (BatchN (None, 6, 6, 256) 768 conv2d_198[0][0] \n__________________________________________________________________________________________________\nactivation_195 (Activation) (None, 6, 6, 192) 0 batch_normalization_195[0][0] \n__________________________________________________________________________________________________\nactivation_198 (Activation) (None, 6, 6, 256) 0 batch_normalization_198[0][0] \n__________________________________________________________________________________________________\nblock8_9_mixed (Concatenate) (None, 6, 6, 448) 0 activation_195[0][0] \n activation_198[0][0] \n__________________________________________________________________________________________________\nblock8_9_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_9_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_9 (Lambda) (None, 6, 6, 2080) 0 block8_8_ac[0][0] \n block8_9_conv[0][0] \n__________________________________________________________________________________________________\nblock8_9_ac (Activation) (None, 6, 6, 2080) 0 block8_9[0][0] \n__________________________________________________________________________________________________\nconv2d_200 (Conv2D) (None, 6, 6, 192) 399360 block8_9_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_200 (BatchN (None, 6, 6, 192) 576 conv2d_200[0][0] \n__________________________________________________________________________________________________\nactivation_200 (Activation) (None, 6, 6, 192) 0 batch_normalization_200[0][0] \n__________________________________________________________________________________________________\nconv2d_201 (Conv2D) (None, 6, 6, 224) 129024 activation_200[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_201 (BatchN (None, 6, 6, 224) 672 conv2d_201[0][0] \n__________________________________________________________________________________________________\nactivation_201 (Activation) (None, 6, 6, 224) 0 batch_normalization_201[0][0] \n__________________________________________________________________________________________________\nconv2d_199 (Conv2D) (None, 6, 6, 192) 399360 block8_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_202 (Conv2D) (None, 6, 6, 256) 172032 activation_201[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_199 (BatchN (None, 6, 6, 192) 576 conv2d_199[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_202 (BatchN (None, 6, 6, 256) 768 conv2d_202[0][0] \n__________________________________________________________________________________________________\nactivation_199 (Activation) (None, 6, 6, 192) 0 batch_normalization_199[0][0] \n__________________________________________________________________________________________________\nactivation_202 (Activation) (None, 6, 6, 256) 0 batch_normalization_202[0][0] \n__________________________________________________________________________________________________\nblock8_10_mixed (Concatenate) (None, 6, 6, 448) 0 activation_199[0][0] \n activation_202[0][0] \n__________________________________________________________________________________________________\nblock8_10_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_10_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_10 (Lambda) (None, 6, 6, 2080) 0 block8_9_ac[0][0] \n block8_10_conv[0][0] \n__________________________________________________________________________________________________\nconv_7b (Conv2D) (None, 6, 6, 1536) 3194880 block8_10[0][0] \n__________________________________________________________________________________________________\nconv_7b_bn (BatchNormalization) (None, 6, 6, 1536) 4608 conv_7b[0][0] \n__________________________________________________________________________________________________\nconv_7b_ac (Activation) (None, 6, 6, 1536) 0 conv_7b_bn[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_4 (MaxPooling2D) (None, 1, 1, 1536) 0 conv_7b_ac[0][0] \n__________________________________________________________________________________________________\nflatten (Flatten) (None, 1536) 0 max_pooling2d_4[0][0] \n__________________________________________________________________________________________________\ndense (Dense) (None, 64) 98368 flatten[0][0] \n__________________________________________________________________________________________________\ndropout (Dropout) (None, 64) 0 dense[0][0] \n__________________________________________________________________________________________________\ndense_1 (Dense) (None, 5) 325 dropout[0][0] \n==================================================================================================\nTotal params: 54,435,429\nTrainable params: 98,693\nNon-trainable params: 54,336,736\n__________________________________________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"code","source":"#taken from old keras source code\ndef f1_score(y_true, y_pred): \n true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))\n predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))\n precision = true_positives / (predicted_positives + K.epsilon())\n recall = true_positives / (possible_positives + K.epsilon())\n f1_val = 2*(precision*recall)/(precision+recall+K.epsilon())\n return f1_val","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:06:05.322178Z","iopub.execute_input":"2023-11-10T02:06:05.322408Z","iopub.status.idle":"2023-11-10T02:06:05.329418Z","shell.execute_reply.started":"2023-11-10T02:06:05.322378Z","shell.execute_reply":"2023-11-10T02:06:05.328637Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"METRICS = [\n tf.keras.metrics.BinaryAccuracy(name='accuracy'),\n tf.keras.metrics.Precision(name='precision'),\n tf.keras.metrics.Recall(name='recall'), \n tf.keras.metrics.AUC(name='auc'),\n f1_score,]","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:06:05.330432Z","iopub.execute_input":"2023-11-10T02:06:05.330703Z","iopub.status.idle":"2023-11-10T02:06:05.363181Z","shell.execute_reply.started":"2023-11-10T02:06:05.330675Z","shell.execute_reply":"2023-11-10T02:06:05.362549Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"lrd = ReduceLROnPlateau(monitor = 'val_loss',patience = 2,verbose = 1,factor = 0.8, min_lr = 1e-6)\n\nmcp = ModelCheckpoint('ResNet152V2.h5')\n\nes = EarlyStopping(verbose=1, patience=2)","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:06:05.364672Z","iopub.execute_input":"2023-11-10T02:06:05.364907Z","iopub.status.idle":"2023-11-10T02:06:05.369996Z","shell.execute_reply.started":"2023-11-10T02:06:05.364875Z","shell.execute_reply":"2023-11-10T02:06:05.369203Z"},"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"code","source":"model.compile(optimizer='Adam', loss=\"categorical_crossentropy\", metrics=METRICS)\nSTEP_SIZE_TRAIN = train_generator.n//train_generator.batch_size\nSTEP_SIZE_VALID = valid_generator.n//valid_generator.batch_size","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:06:05.37123Z","iopub.execute_input":"2023-11-10T02:06:05.371467Z","iopub.status.idle":"2023-11-10T02:06:05.404631Z","shell.execute_reply.started":"2023-11-10T02:06:05.371435Z","shell.execute_reply":"2023-11-10T02:06:05.403677Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"history = model.fit_generator(generator=train_generator,\n steps_per_epoch=STEP_SIZE_TRAIN,\n validation_data=valid_generator,\n validation_steps=STEP_SIZE_VALID,\n epochs=10,\n callbacks=[lrd,mcp,es])","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:06:21.050142Z","iopub.execute_input":"2023-11-10T02:06:21.050596Z","iopub.status.idle":"2023-11-10T02:06:43.889062Z","shell.execute_reply.started":"2023-11-10T02:06:21.050545Z","shell.execute_reply":"2023-11-10T02:06:43.887816Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"Epoch 1/10\n","output_type":"stream"},{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_17/3567003380.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mvalidation_steps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSTEP_SIZE_VALID\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mepochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m callbacks=[lrd,mcp,es])\n\u001b[0m","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mfit_generator\u001b[0;34m(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, validation_freq, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)\u001b[0m\n\u001b[1;32m 1987\u001b[0m \u001b[0muse_multiprocessing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0muse_multiprocessing\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1988\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mshuffle\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1989\u001b[0;31m initial_epoch=initial_epoch)\n\u001b[0m\u001b[1;32m 1990\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1991\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdoc_controls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_not_generate_docs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[1;32m 1182\u001b[0m _r=1):\n\u001b[1;32m 1183\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_train_batch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1184\u001b[0;31m \u001b[0mtmp_logs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1185\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_sync\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1186\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masync_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 883\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 884\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mOptionalXlaContext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jit_compile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 885\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 886\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 887\u001b[0m \u001b[0mnew_tracing_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexperimental_get_tracing_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 948\u001b[0m \u001b[0;31m# Lifting succeeded, so variables are initialized and we can run the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 949\u001b[0m \u001b[0;31m# stateless function.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 950\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateless_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 951\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 952\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfiltered_flat_args\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 3038\u001b[0m filtered_flat_args) = self._maybe_define_function(args, kwargs)\n\u001b[1;32m 3039\u001b[0m return graph_function._call_flat(\n\u001b[0;32m-> 3040\u001b[0;31m filtered_flat_args, captured_inputs=graph_function.captured_inputs) # pylint: disable=protected-access\n\u001b[0m\u001b[1;32m 3041\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3042\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m_call_flat\u001b[0;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[1;32m 1962\u001b[0m \u001b[0;31m# No tape is watching; skip to running the function.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1963\u001b[0m return self._build_call_outputs(self._inference_function.call(\n\u001b[0;32m-> 1964\u001b[0;31m ctx, args, cancellation_manager=cancellation_manager))\n\u001b[0m\u001b[1;32m 1965\u001b[0m forward_backward = self._select_forward_and_backward_functions(\n\u001b[1;32m 1966\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[1;32m 594\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 595\u001b[0m \u001b[0mattrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mattrs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 596\u001b[0;31m ctx=ctx)\n\u001b[0m\u001b[1;32m 597\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 598\u001b[0m outputs = execute.execute_with_cancellation(\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/execute.py\u001b[0m in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[0mctx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mensure_initialized\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 59\u001b[0m tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,\n\u001b[0;32m---> 60\u001b[0;31m inputs, attrs, num_outputs)\n\u001b[0m\u001b[1;32m 61\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_NotOkStatusException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "],"ename":"KeyboardInterrupt","evalue":"","output_type":"error"}]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:12:18.018469Z","iopub.execute_input":"2023-11-10T02:12:18.018796Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"complete_datagen = ImageDataGenerator(rescale=1./255)\ncomplete_generator = complete_datagen.flow_from_dataframe( \n dataframe=train,\n directory = \"../input/aptos2019-blindness-detection/train_images/\",\n x_col=\"id_code\",\n target_size=(224, 224),\n batch_size=1,\n shuffle=False,\n class_mode=None)","metadata":{"execution":{"iopub.status.busy":"2023-11-10T02:12:27.709095Z","iopub.execute_input":"2023-11-10T02:12:27.709397Z","iopub.status.idle":"2023-11-10T02:12:27.726889Z","shell.execute_reply.started":"2023-11-10T02:12:27.709363Z","shell.execute_reply":"2023-11-10T02:12:27.725881Z"},"trusted":true},"execution_count":2,"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_87/1773985365.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcomplete_datagen\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mImageDataGenerator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrescale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m255\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m complete_generator = complete_datagen.flow_from_dataframe( \n\u001b[1;32m 3\u001b[0m \u001b[0mdataframe\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"../input/aptos2019-blindness-detection/train_images/\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mx_col\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"id_code\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'ImageDataGenerator' is not defined"],"ename":"NameError","evalue":"name 'ImageDataGenerator' is not defined","output_type":"error"}]},{"cell_type":"code","source":"STEP_SIZE_COMPLETE = complete_generator.n//complete_generator.batch_size\n","metadata":{"execution":{"iopub.status.busy":"2022-03-12T14:28:57.352081Z","iopub.execute_input":"2022-03-12T14:28:57.35306Z","iopub.status.idle":"2022-03-12T14:28:57.357609Z","shell.execute_reply.started":"2022-03-12T14:28:57.353016Z","shell.execute_reply":"2022-03-12T14:28:57.356799Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_preds = model.predict_generator(complete_generator, steps=STEP_SIZE_COMPLETE)","metadata":{"execution":{"iopub.status.busy":"2022-03-12T14:28:57.359328Z","iopub.execute_input":"2022-03-12T14:28:57.359663Z","iopub.status.idle":"2022-03-12T14:37:06.399466Z","shell.execute_reply.started":"2022-03-12T14:28:57.359629Z","shell.execute_reply":"2022-03-12T14:37:06.398651Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_preds = [np.argmax(pred) for pred in train_preds]","metadata":{"execution":{"iopub.status.busy":"2022-03-12T14:37:06.401336Z","iopub.execute_input":"2022-03-12T14:37:06.401611Z","iopub.status.idle":"2022-03-12T14:37:06.429611Z","shell.execute_reply.started":"2022-03-12T14:37:06.401576Z","shell.execute_reply":"2022-03-12T14:37:06.428942Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# test_generator.reset()\n# STEP_SIZE_TEST = test_generator.n//test_generator.batch_size\n# preds = model.predict_generator(test_generator, steps=STEP_SIZE_TEST)\n# predictions = [np.argmax(pred) for pred in preds]\n# predictions[:10]","metadata":{"execution":{"iopub.status.busy":"2022-03-12T14:37:06.430634Z","iopub.execute_input":"2022-03-12T14:37:06.430882Z","iopub.status.idle":"2022-03-12T14:38:51.310658Z","shell.execute_reply.started":"2022-03-12T14:37:06.430848Z","shell.execute_reply":"2022-03-12T14:38:51.309817Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_generator.reset()\nSTEP_SIZE_TEST = test_generator.n//test_generator.batch_size\npreds = model.predict_generator(test_generator)\npredictions = [np.argmax(pred) for pred in preds]\npredictions[:10]","metadata":{"execution":{"iopub.status.busy":"2022-03-12T15:05:05.919304Z","iopub.execute_input":"2022-03-12T15:05:05.919703Z","iopub.status.idle":"2022-03-12T15:06:24.760753Z","shell.execute_reply.started":"2022-03-12T15:05:05.919667Z","shell.execute_reply":"2022-03-12T15:06:24.759967Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.save('./output/inception')","metadata":{"execution":{"iopub.status.busy":"2022-03-12T14:38:51.312244Z","iopub.execute_input":"2022-03-12T14:38:51.31264Z","iopub.status.idle":"2022-03-12T14:40:27.121865Z","shell.execute_reply.started":"2022-03-12T14:38:51.312598Z","shell.execute_reply":"2022-03-12T14:40:27.121067Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"labels = ['0 - No DR', '1 - Mild', '2 - Moderate', '3 - Severe', '4 - Proliferative DR']\ncnf_matrix = confusion_matrix(train['diagnosis'].astype('int'), train_preds)\ncnf_matrix_norm = cnf_matrix.astype('float') / cnf_matrix.sum(axis=1)[:, np.newaxis]\ndf_cm = pd.DataFrame(cnf_matrix_norm, index=labels, columns=labels)\nprint(df_cm.describe().T)\nplt.figure(figsize=(15, 8))\nsns.heatmap(df_cm, annot=True, fmt='.2f')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-03-12T15:07:55.261334Z","iopub.execute_input":"2022-03-12T15:07:55.261772Z","iopub.status.idle":"2022-03-12T15:07:55.592442Z","shell.execute_reply.started":"2022-03-12T15:07:55.261737Z","shell.execute_reply":"2022-03-12T15:07:55.591727Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# print(len(predictions), len(filenames), len(preds), test_generator.n)\n# test","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"filenames=test_generator.filenames\nresults=pd.DataFrame({\"id_code\":filenames,\n \"diagnosis\":predictions})\nresults['id_code'] = results['id_code'].map(lambda x: str(x)[:-4])\nresults.to_csv(\"submission.csv\",index=False)","metadata":{"execution":{"iopub.status.busy":"2022-03-12T15:08:16.381412Z","iopub.execute_input":"2022-03-12T15:08:16.381954Z","iopub.status.idle":"2022-03-12T15:08:16.397997Z","shell.execute_reply.started":"2022-03-12T15:08:16.381914Z","shell.execute_reply":"2022-03-12T15:08:16.397252Z"},"trusted":true},"execution_count":null,"outputs":[]}]}