{"cells":[{"metadata":{},"cell_type":"markdown","source":"v1: last activation changed to softmax"},{"metadata":{},"cell_type":"markdown","source":"The EDA is done in a [separate Kernel](https://www.kaggle.com/maxlenormand/first-eda-to-get-started)\n\nThis is the first iterations I am doing, simply to have a relevant predicted output. Future work will consist of improving this along multiple aspects."},{"metadata":{},"cell_type":"markdown","source":"Updates to do to improve performances:\n- take into account different image sizes\n- perform data augmentation (but not all images can be augmented the same way. Ex: portrait cannot be flipped vertically. Some abstract objects / representations could)."},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np \nimport pandas as pd\n\nimport random\nimport datetime\nimport seaborn as sns\n\nfrom keras.models import Sequential\nimport tensorflow as tf\nfrom keras import backend as K\nfrom keras.models import Model\nfrom keras_preprocessing.image import ImageDataGenerator\nfrom keras.layers import Input, Dense,Concatenate, GlobalMaxPooling2D, GlobalAveragePooling2D, Activation, Flatten\nfrom keras.layers import Conv2D, MaxPooling2D, Dropout, BatchNormalization\nfrom keras.losses import binary_crossentropy\nfrom keras import regularizers, optimizers\nfrom keras.optimizers import Adam\n\nfrom keras.applications import ResNet50\n#from keras.applications.resnet_v2 import ResNet50V2\nfrom keras.applications.vgg19 import VGG19\nfrom keras.applications.mobilenet import MobileNet\nfrom keras.applications.inception_v3 import InceptionV3\nfrom keras.applications.inception_resnet_v2 import InceptionResNetV2\nfrom keras.applications.vgg16 import VGG16\nfrom keras.applications.nasnet import NASNetMobile\n\n\nfrom keras.callbacks import ModelCheckpoint,EarlyStopping,CSVLogger,ReduceLROnPlateau\n\nimport matplotlib.pyplot as plt\n\nimport os\nprint(os.listdir(\"../input\"))\n\ndef append_ext(fn):\n return fn+\".png\"\n\ndef remove_ext(fn):\n return fn[:-4]","execution_count":1,"outputs":[{"output_type":"stream","text":"Using TensorFlow backend.\n","name":"stderr"},{"output_type":"stream","text":"['inceptionresnetv2', 'imet-2019-fgvc6', 'vgg19']\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"In order to compare the performances of models, it is important to seed everything. This means random and numpy, but also tensorflow and Keras. The following code was taken from [this article](https://towardsdatascience.com/properly-setting-the-random-seed-in-machine-learning-experiments-7da298d1320b) from Cecelia Shao. The article is worth a read for a more in depth look of the effects of correctly seeding."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Set a seed value\nseed_value= 7 \n\n# 1. Set `PYTHONHASHSEED` environment variable at a fixed value\nos.environ['PYTHONHASHSEED']=str(seed_value)\n# 2. Set `python` built-in pseudo-random generator at a fixed value\nrandom.seed(seed_value)\n# 3. Set `numpy` pseudo-random generator at a fixed value\nnp.random.seed(seed_value)\n# 4. Set `tensorflow` pseudo-random generator at a fixed value\ntf.set_random_seed(seed_value)\n# 5 Configure a new global `tensorflow` session\nsession_conf = tf.ConfigProto(intra_op_parallelism_threads=1, inter_op_parallelism_threads=1)\nsess = tf.Session(graph=tf.get_default_graph(), config=session_conf)\nK.set_session(sess)","execution_count":2,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"train_labels=pd.read_csv('../input/imet-2019-fgvc6/train.csv', dtype=str)\n#Changing the attribute ids into lists instead of str seperated by a ' ' to be able to count them\ntrain_labels['attribute_ids']=train_labels['attribute_ids'].str.split(' ')\ntrain_labels[\"id\"]=train_labels[\"id\"].apply(append_ext)\n\ntest_labels=pd.read_csv('../input/imet-2019-fgvc6/sample_submission.csv', dtype=str)\ntest_labels[\"id\"]=test_labels[\"id\"].apply(append_ext)\n\nprint('train : \\n', train_labels.head())\nprint('\\ntest : \\n', test_labels.head())\n\nprint('\\ntrain shape: ', len(train_labels))\nprint('\\ntest shape: ', len(test_labels))","execution_count":3,"outputs":[{"output_type":"stream","text":"train : \n id attribute_ids\n0 1000483014d91860.png [147, 616, 813]\n1 1000fe2e667721fe.png [51, 616, 734, 813]\n2 1001614cb89646ee.png [776]\n3 10041eb49b297c08.png [51, 671, 698, 813, 1092]\n4 100501c227f8beea.png [13, 404, 492, 903, 1093]\n\ntest : \n id attribute_ids\n0 10023b2cc4ed5f68.png 0 1 2\n1 100fbe75ed8fd887.png 0 1 2\n2 101b627524a04f19.png 0 1 2\n3 10234480c41284c6.png 0 1 2\n4 1023b0e2636dcea8.png 0 1 2\n\ntrain shape: 109237\n\ntest shape: 7443\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"labels = pd.read_csv('../input/imet-2019-fgvc6/labels.csv', dtype=str)\nprint('labels : ', '\\n', labels.head())\n\nprint('\\nlabels len :', len(labels))","execution_count":4,"outputs":[{"output_type":"stream","text":"labels : \n attribute_id attribute_name\n0 0 culture::abruzzi\n1 1 culture::achaemenid\n2 2 culture::aegean\n3 3 culture::afghan\n4 4 culture::after british\n\nlabels len : 1103\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"datagen=ImageDataGenerator(rescale=1./255.,validation_split=0.2)","execution_count":5,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"B_size = 128\nTarget_size = (96,96) \n\ntrain_generator=datagen.flow_from_dataframe(\n dataframe=train_labels,\n directory=\"../input/imet-2019-fgvc6/train/\",\n x_col=\"id\",\n y_col=\"attribute_ids\",\n subset=\"training\",\n batch_size=B_size,\n seed=seed_value,\n shuffle=True,\n class_mode=\"categorical\",\n target_size=Target_size\n)\n\nvalid_generator=datagen.flow_from_dataframe(\n dataframe=train_labels,\n directory=\"../input/imet-2019-fgvc6/train/\",\n x_col=\"id\",\n y_col=\"attribute_ids\",\n subset=\"validation\",\n batch_size=B_size,\n seed=seed_value,\n shuffle=True,\n class_mode=\"categorical\",\n target_size=Target_size\n)\n\ntest_datagen=ImageDataGenerator(rescale=1./255.)\n\ntest_generator=test_datagen.flow_from_dataframe(\n dataframe=test_labels,\n directory=\"../input/imet-2019-fgvc6/test/\",\n x_col=\"id\",\n y_col=None,\n batch_size=B_size,\n seed=seed_value,\n shuffle=False,\n class_mode=None,\n target_size=Target_size\n)","execution_count":6,"outputs":[{"output_type":"stream","text":"Found 87390 images belonging to 1103 classes.\nFound 21847 images belonging to 1103 classes.\nFound 7443 images.\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_generator.n//train_generator.batch_size","execution_count":7,"outputs":[{"output_type":"execute_result","execution_count":7,"data":{"text/plain":"682"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"focal loss taken from [this Kernel from KeepLearning](https://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up)"},{"metadata":{"trusted":true},"cell_type":"code","source":"gamma = 2.0\nepsilon = K.epsilon()\ndef focal_loss(y_true, y_pred):\n pt = y_pred * y_true + (1-y_pred) * (1-y_true)\n pt = K.clip(pt, epsilon, 1-epsilon)\n CE = -K.log(pt)\n FL = K.pow(1-pt, gamma) * CE\n loss = K.sum(FL, axis=1)\n return loss","execution_count":8,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"f2_score taken from [this Kernel from Alexander Teplyuk](https://www.kaggle.com/ateplyuk/keras-starter)"},{"metadata":{"trusted":true},"cell_type":"code","source":"def f2_score(y_true, y_pred):\n beta = 2\n true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)), axis=1)\n predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)), axis=1)\n possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)), axis=1)\n \n precision = true_positives / (predicted_positives + K.epsilon())\n recall = true_positives / (possible_positives + K.epsilon())\n \n return K.mean(((1+beta**2)*precision*recall) / ((beta**2)*precision+recall+K.epsilon()))","execution_count":9,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Callbacks\n\ncheckpoint = ModelCheckpoint(filepath='weights_test.hdf5',\n monitor='val_loss',\n verbose=1,\n save_best_only=True)\n\nearlystop = EarlyStopping(monitor='val_loss',\n min_delta=0,\n patience=3,\n mode='auto')","execution_count":10,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def make_model(model_choice, model_name, input_tensor, weights_link, nb_epoch):\n '''Function to create a model\n Input:\n - model_choice for ex: VGG19(include_top=False, input_tensor=input_tensor)\n - model_name (str), name that will be given to the model in tensorboard\n - input_tensor Input(width_image, height_image, nb_channels)\n - weights_link (str) since no internet, link to the dataset with weights\n - nb_epoch (int) number of epoch to train on\n \n Output:\n - model made with keras.model.Model'''\n \n base_model = model_choice\n base_model.load_weights(weights_link)\n base_model.trainable = False\n x = base_model.output\n out = Flatten()(x)\n out = Dense(1103, activation=\"softmax\")(out)\n model = Model(input_tensor, out)\n \n model.compile(optimizer=Adam(0.001), loss=focal_loss, metrics=[f2_score])\n #model.summary()\n \n 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=nb_epoch,\n callbacks=[checkpoint, earlystop])\n\n \n return model, history","execution_count":11,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"STEP_SIZE_TRAIN=train_generator.n//train_generator.batch_size\nSTEP_SIZE_VALID=valid_generator.n//valid_generator.batch_size\nSTEP_SIZE_TEST=test_generator.n//test_generator.batch_size","execution_count":12,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"number_epoch = 15\nwidth, height = Target_size\ninput_tensor = Input((width, height, 3))\n\nweights_link = ('../input/inceptionresnetv2/inception_resnet_v2_weights_tf_dim_ordering_tf_kernels_notop.h5')\n\n\nInceptionResNetV2_model, history = make_model(InceptionResNetV2(weights=None,\n include_top=False,\n input_tensor=input_tensor),\n 'InceptionResNetV2',\n input_tensor,\n weights_link,\n nb_epoch = number_epoch)","execution_count":null,"outputs":[{"output_type":"stream","text":"WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\nInstructions for updating:\nColocations handled automatically by placer.\n__________________________________________________________________________________________________\nLayer (type) Output Shape Param # Connected to \n==================================================================================================\ninput_1 (InputLayer) (None, 96, 96, 3) 0 \n__________________________________________________________________________________________________\nconv2d_1 (Conv2D) (None, 47, 47, 32) 864 input_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_1 (BatchNor (None, 47, 47, 32) 96 conv2d_1[0][0] \n__________________________________________________________________________________________________\nactivation_1 (Activation) (None, 47, 47, 32) 0 batch_normalization_1[0][0] \n__________________________________________________________________________________________________\nconv2d_2 (Conv2D) (None, 45, 45, 32) 9216 activation_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_2 (BatchNor (None, 45, 45, 32) 96 conv2d_2[0][0] \n__________________________________________________________________________________________________\nactivation_2 (Activation) (None, 45, 45, 32) 0 batch_normalization_2[0][0] \n__________________________________________________________________________________________________\nconv2d_3 (Conv2D) (None, 45, 45, 64) 18432 activation_2[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_3 (BatchNor (None, 45, 45, 64) 192 conv2d_3[0][0] \n__________________________________________________________________________________________________\nactivation_3 (Activation) (None, 45, 45, 64) 0 batch_normalization_3[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_1 (MaxPooling2D) (None, 22, 22, 64) 0 activation_3[0][0] \n__________________________________________________________________________________________________\nconv2d_4 (Conv2D) (None, 22, 22, 80) 5120 max_pooling2d_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_4 (BatchNor (None, 22, 22, 80) 240 conv2d_4[0][0] \n__________________________________________________________________________________________________\nactivation_4 (Activation) (None, 22, 22, 80) 0 batch_normalization_4[0][0] \n__________________________________________________________________________________________________\nconv2d_5 (Conv2D) (None, 20, 20, 192) 138240 activation_4[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_5 (BatchNor (None, 20, 20, 192) 576 conv2d_5[0][0] \n__________________________________________________________________________________________________\nactivation_5 (Activation) (None, 20, 20, 192) 0 batch_normalization_5[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_2 (MaxPooling2D) (None, 9, 9, 192) 0 activation_5[0][0] \n__________________________________________________________________________________________________\nconv2d_9 (Conv2D) (None, 9, 9, 64) 12288 max_pooling2d_2[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_9 (BatchNor (None, 9, 9, 64) 192 conv2d_9[0][0] \n__________________________________________________________________________________________________\nactivation_9 (Activation) (None, 9, 9, 64) 0 batch_normalization_9[0][0] \n__________________________________________________________________________________________________\nconv2d_7 (Conv2D) (None, 9, 9, 48) 9216 max_pooling2d_2[0][0] \n__________________________________________________________________________________________________\nconv2d_10 (Conv2D) (None, 9, 9, 96) 55296 activation_9[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_7 (BatchNor (None, 9, 9, 48) 144 conv2d_7[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_10 (BatchNo (None, 9, 9, 96) 288 conv2d_10[0][0] \n__________________________________________________________________________________________________\nactivation_7 (Activation) (None, 9, 9, 48) 0 batch_normalization_7[0][0] \n__________________________________________________________________________________________________\nactivation_10 (Activation) (None, 9, 9, 96) 0 batch_normalization_10[0][0] \n__________________________________________________________________________________________________\naverage_pooling2d_1 (AveragePoo (None, 9, 9, 192) 0 max_pooling2d_2[0][0] \n__________________________________________________________________________________________________\nconv2d_6 (Conv2D) (None, 9, 9, 96) 18432 max_pooling2d_2[0][0] \n__________________________________________________________________________________________________\nconv2d_8 (Conv2D) (None, 9, 9, 64) 76800 activation_7[0][0] \n__________________________________________________________________________________________________\nconv2d_11 (Conv2D) (None, 9, 9, 96) 82944 activation_10[0][0] \n__________________________________________________________________________________________________\nconv2d_12 (Conv2D) (None, 9, 9, 64) 12288 average_pooling2d_1[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_6 (BatchNor (None, 9, 9, 96) 288 conv2d_6[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_8 (BatchNor (None, 9, 9, 64) 192 conv2d_8[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_11 (BatchNo (None, 9, 9, 96) 288 conv2d_11[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_12 (BatchNo (None, 9, 9, 64) 192 conv2d_12[0][0] \n__________________________________________________________________________________________________\nactivation_6 (Activation) (None, 9, 9, 96) 0 batch_normalization_6[0][0] \n__________________________________________________________________________________________________\nactivation_8 (Activation) (None, 9, 9, 64) 0 batch_normalization_8[0][0] \n__________________________________________________________________________________________________\nactivation_11 (Activation) (None, 9, 9, 96) 0 batch_normalization_11[0][0] \n__________________________________________________________________________________________________\nactivation_12 (Activation) (None, 9, 9, 64) 0 batch_normalization_12[0][0] \n__________________________________________________________________________________________________\nmixed_5b (Concatenate) (None, 9, 9, 320) 0 activation_6[0][0] \n activation_8[0][0] \n activation_11[0][0] \n activation_12[0][0] \n__________________________________________________________________________________________________\nconv2d_16 (Conv2D) (None, 9, 9, 32) 10240 mixed_5b[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_16 (BatchNo (None, 9, 9, 32) 96 conv2d_16[0][0] \n__________________________________________________________________________________________________\nactivation_16 (Activation) (None, 9, 9, 32) 0 batch_normalization_16[0][0] \n__________________________________________________________________________________________________\nconv2d_14 (Conv2D) (None, 9, 9, 32) 10240 mixed_5b[0][0] \n__________________________________________________________________________________________________\nconv2d_17 (Conv2D) (None, 9, 9, 48) 13824 activation_16[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_14 (BatchNo (None, 9, 9, 32) 96 conv2d_14[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_17 (BatchNo (None, 9, 9, 48) 144 conv2d_17[0][0] \n__________________________________________________________________________________________________\nactivation_14 (Activation) (None, 9, 9, 32) 0 batch_normalization_14[0][0] \n__________________________________________________________________________________________________\nactivation_17 (Activation) (None, 9, 9, 48) 0 batch_normalization_17[0][0] \n__________________________________________________________________________________________________\nconv2d_13 (Conv2D) (None, 9, 9, 32) 10240 mixed_5b[0][0] \n__________________________________________________________________________________________________\nconv2d_15 (Conv2D) (None, 9, 9, 32) 9216 activation_14[0][0] \n__________________________________________________________________________________________________\nconv2d_18 (Conv2D) (None, 9, 9, 64) 27648 activation_17[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_13 (BatchNo (None, 9, 9, 32) 96 conv2d_13[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_15 (BatchNo (None, 9, 9, 32) 96 conv2d_15[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_18 (BatchNo (None, 9, 9, 64) 192 conv2d_18[0][0] \n__________________________________________________________________________________________________\nactivation_13 (Activation) (None, 9, 9, 32) 0 batch_normalization_13[0][0] \n__________________________________________________________________________________________________\nactivation_15 (Activation) (None, 9, 9, 32) 0 batch_normalization_15[0][0] \n__________________________________________________________________________________________________\nactivation_18 (Activation) (None, 9, 9, 64) 0 batch_normalization_18[0][0] \n__________________________________________________________________________________________________\nblock35_1_mixed (Concatenate) (None, 9, 9, 128) 0 activation_13[0][0] \n activation_15[0][0] \n activation_18[0][0] \n__________________________________________________________________________________________________\nblock35_1_conv (Conv2D) (None, 9, 9, 320) 41280 block35_1_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_1 (Lambda) (None, 9, 9, 320) 0 mixed_5b[0][0] \n block35_1_conv[0][0] \n__________________________________________________________________________________________________\nblock35_1_ac (Activation) (None, 9, 9, 320) 0 block35_1[0][0] \n__________________________________________________________________________________________________\nconv2d_22 (Conv2D) (None, 9, 9, 32) 10240 block35_1_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_22 (BatchNo (None, 9, 9, 32) 96 conv2d_22[0][0] \n__________________________________________________________________________________________________\nactivation_22 (Activation) (None, 9, 9, 32) 0 batch_normalization_22[0][0] \n__________________________________________________________________________________________________\nconv2d_20 (Conv2D) (None, 9, 9, 32) 10240 block35_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_23 (Conv2D) (None, 9, 9, 48) 13824 activation_22[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_20 (BatchNo (None, 9, 9, 32) 96 conv2d_20[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_23 (BatchNo (None, 9, 9, 48) 144 conv2d_23[0][0] \n__________________________________________________________________________________________________\nactivation_20 (Activation) (None, 9, 9, 32) 0 batch_normalization_20[0][0] \n__________________________________________________________________________________________________\nactivation_23 (Activation) (None, 9, 9, 48) 0 batch_normalization_23[0][0] \n__________________________________________________________________________________________________\nconv2d_19 (Conv2D) (None, 9, 9, 32) 10240 block35_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_21 (Conv2D) (None, 9, 9, 32) 9216 activation_20[0][0] \n__________________________________________________________________________________________________\nconv2d_24 (Conv2D) (None, 9, 9, 64) 27648 activation_23[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_19 (BatchNo (None, 9, 9, 32) 96 conv2d_19[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_21 (BatchNo (None, 9, 9, 32) 96 conv2d_21[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_24 (BatchNo (None, 9, 9, 64) 192 conv2d_24[0][0] \n__________________________________________________________________________________________________\nactivation_19 (Activation) (None, 9, 9, 32) 0 batch_normalization_19[0][0] \n__________________________________________________________________________________________________\nactivation_21 (Activation) (None, 9, 9, 32) 0 batch_normalization_21[0][0] \n__________________________________________________________________________________________________\nactivation_24 (Activation) (None, 9, 9, 64) 0 batch_normalization_24[0][0] \n__________________________________________________________________________________________________\nblock35_2_mixed (Concatenate) (None, 9, 9, 128) 0 activation_19[0][0] \n activation_21[0][0] \n activation_24[0][0] \n__________________________________________________________________________________________________\nblock35_2_conv (Conv2D) (None, 9, 9, 320) 41280 block35_2_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_2 (Lambda) (None, 9, 9, 320) 0 block35_1_ac[0][0] \n block35_2_conv[0][0] \n__________________________________________________________________________________________________\nblock35_2_ac (Activation) (None, 9, 9, 320) 0 block35_2[0][0] \n__________________________________________________________________________________________________\nconv2d_28 (Conv2D) (None, 9, 9, 32) 10240 block35_2_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_28 (BatchNo (None, 9, 9, 32) 96 conv2d_28[0][0] \n__________________________________________________________________________________________________\nactivation_28 (Activation) (None, 9, 9, 32) 0 batch_normalization_28[0][0] \n__________________________________________________________________________________________________\nconv2d_26 (Conv2D) (None, 9, 9, 32) 10240 block35_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_29 (Conv2D) (None, 9, 9, 48) 13824 activation_28[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_26 (BatchNo (None, 9, 9, 32) 96 conv2d_26[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_29 (BatchNo (None, 9, 9, 48) 144 conv2d_29[0][0] \n__________________________________________________________________________________________________\nactivation_26 (Activation) (None, 9, 9, 32) 0 batch_normalization_26[0][0] \n__________________________________________________________________________________________________\nactivation_29 (Activation) (None, 9, 9, 48) 0 batch_normalization_29[0][0] \n__________________________________________________________________________________________________\nconv2d_25 (Conv2D) (None, 9, 9, 32) 10240 block35_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_27 (Conv2D) (None, 9, 9, 32) 9216 activation_26[0][0] \n__________________________________________________________________________________________________\nconv2d_30 (Conv2D) (None, 9, 9, 64) 27648 activation_29[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_25 (BatchNo (None, 9, 9, 32) 96 conv2d_25[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_27 (BatchNo (None, 9, 9, 32) 96 conv2d_27[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_30 (BatchNo (None, 9, 9, 64) 192 conv2d_30[0][0] \n__________________________________________________________________________________________________\nactivation_25 (Activation) (None, 9, 9, 32) 0 batch_normalization_25[0][0] \n__________________________________________________________________________________________________\nactivation_27 (Activation) (None, 9, 9, 32) 0 batch_normalization_27[0][0] \n__________________________________________________________________________________________________\nactivation_30 (Activation) (None, 9, 9, 64) 0 batch_normalization_30[0][0] \n__________________________________________________________________________________________________\nblock35_3_mixed (Concatenate) (None, 9, 9, 128) 0 activation_25[0][0] \n activation_27[0][0] \n activation_30[0][0] \n__________________________________________________________________________________________________\nblock35_3_conv (Conv2D) (None, 9, 9, 320) 41280 block35_3_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_3 (Lambda) (None, 9, 9, 320) 0 block35_2_ac[0][0] \n block35_3_conv[0][0] \n__________________________________________________________________________________________________\nblock35_3_ac (Activation) (None, 9, 9, 320) 0 block35_3[0][0] \n__________________________________________________________________________________________________\nconv2d_34 (Conv2D) (None, 9, 9, 32) 10240 block35_3_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_34 (BatchNo (None, 9, 9, 32) 96 conv2d_34[0][0] \n__________________________________________________________________________________________________\nactivation_34 (Activation) (None, 9, 9, 32) 0 batch_normalization_34[0][0] \n__________________________________________________________________________________________________\nconv2d_32 (Conv2D) (None, 9, 9, 32) 10240 block35_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_35 (Conv2D) (None, 9, 9, 48) 13824 activation_34[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_32 (BatchNo (None, 9, 9, 32) 96 conv2d_32[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_35 (BatchNo (None, 9, 9, 48) 144 conv2d_35[0][0] \n__________________________________________________________________________________________________\nactivation_32 (Activation) (None, 9, 9, 32) 0 batch_normalization_32[0][0] \n__________________________________________________________________________________________________\nactivation_35 (Activation) (None, 9, 9, 48) 0 batch_normalization_35[0][0] \n__________________________________________________________________________________________________\nconv2d_31 (Conv2D) (None, 9, 9, 32) 10240 block35_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_33 (Conv2D) (None, 9, 9, 32) 9216 activation_32[0][0] \n__________________________________________________________________________________________________\nconv2d_36 (Conv2D) (None, 9, 9, 64) 27648 activation_35[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_31 (BatchNo (None, 9, 9, 32) 96 conv2d_31[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_33 (BatchNo (None, 9, 9, 32) 96 conv2d_33[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_36 (BatchNo (None, 9, 9, 64) 192 conv2d_36[0][0] \n__________________________________________________________________________________________________\nactivation_31 (Activation) (None, 9, 9, 32) 0 batch_normalization_31[0][0] \n__________________________________________________________________________________________________\nactivation_33 (Activation) (None, 9, 9, 32) 0 batch_normalization_33[0][0] \n__________________________________________________________________________________________________\nactivation_36 (Activation) (None, 9, 9, 64) 0 batch_normalization_36[0][0] \n__________________________________________________________________________________________________\nblock35_4_mixed (Concatenate) (None, 9, 9, 128) 0 activation_31[0][0] \n activation_33[0][0] \n activation_36[0][0] \n__________________________________________________________________________________________________\nblock35_4_conv (Conv2D) (None, 9, 9, 320) 41280 block35_4_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_4 (Lambda) (None, 9, 9, 320) 0 block35_3_ac[0][0] \n block35_4_conv[0][0] \n__________________________________________________________________________________________________\nblock35_4_ac (Activation) (None, 9, 9, 320) 0 block35_4[0][0] \n__________________________________________________________________________________________________\nconv2d_40 (Conv2D) (None, 9, 9, 32) 10240 block35_4_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_40 (BatchNo (None, 9, 9, 32) 96 conv2d_40[0][0] \n__________________________________________________________________________________________________\nactivation_40 (Activation) (None, 9, 9, 32) 0 batch_normalization_40[0][0] \n__________________________________________________________________________________________________\nconv2d_38 (Conv2D) (None, 9, 9, 32) 10240 block35_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_41 (Conv2D) (None, 9, 9, 48) 13824 activation_40[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_38 (BatchNo (None, 9, 9, 32) 96 conv2d_38[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_41 (BatchNo (None, 9, 9, 48) 144 conv2d_41[0][0] \n__________________________________________________________________________________________________\nactivation_38 (Activation) (None, 9, 9, 32) 0 batch_normalization_38[0][0] \n__________________________________________________________________________________________________\nactivation_41 (Activation) (None, 9, 9, 48) 0 batch_normalization_41[0][0] \n__________________________________________________________________________________________________\nconv2d_37 (Conv2D) (None, 9, 9, 32) 10240 block35_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_39 (Conv2D) (None, 9, 9, 32) 9216 activation_38[0][0] \n__________________________________________________________________________________________________\nconv2d_42 (Conv2D) (None, 9, 9, 64) 27648 activation_41[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_37 (BatchNo (None, 9, 9, 32) 96 conv2d_37[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_39 (BatchNo (None, 9, 9, 32) 96 conv2d_39[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_42 (BatchNo (None, 9, 9, 64) 192 conv2d_42[0][0] \n__________________________________________________________________________________________________\nactivation_37 (Activation) (None, 9, 9, 32) 0 batch_normalization_37[0][0] \n__________________________________________________________________________________________________\nactivation_39 (Activation) (None, 9, 9, 32) 0 batch_normalization_39[0][0] \n__________________________________________________________________________________________________\nactivation_42 (Activation) (None, 9, 9, 64) 0 batch_normalization_42[0][0] \n__________________________________________________________________________________________________\nblock35_5_mixed (Concatenate) (None, 9, 9, 128) 0 activation_37[0][0] \n activation_39[0][0] \n activation_42[0][0] \n__________________________________________________________________________________________________\nblock35_5_conv (Conv2D) (None, 9, 9, 320) 41280 block35_5_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_5 (Lambda) (None, 9, 9, 320) 0 block35_4_ac[0][0] \n block35_5_conv[0][0] \n__________________________________________________________________________________________________\nblock35_5_ac (Activation) (None, 9, 9, 320) 0 block35_5[0][0] \n__________________________________________________________________________________________________\nconv2d_46 (Conv2D) (None, 9, 9, 32) 10240 block35_5_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_46 (BatchNo (None, 9, 9, 32) 96 conv2d_46[0][0] \n__________________________________________________________________________________________________\nactivation_46 (Activation) (None, 9, 9, 32) 0 batch_normalization_46[0][0] \n__________________________________________________________________________________________________\nconv2d_44 (Conv2D) (None, 9, 9, 32) 10240 block35_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_47 (Conv2D) (None, 9, 9, 48) 13824 activation_46[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_44 (BatchNo (None, 9, 9, 32) 96 conv2d_44[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_47 (BatchNo (None, 9, 9, 48) 144 conv2d_47[0][0] \n__________________________________________________________________________________________________\nactivation_44 (Activation) (None, 9, 9, 32) 0 batch_normalization_44[0][0] \n__________________________________________________________________________________________________\nactivation_47 (Activation) (None, 9, 9, 48) 0 batch_normalization_47[0][0] \n__________________________________________________________________________________________________\nconv2d_43 (Conv2D) (None, 9, 9, 32) 10240 block35_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_45 (Conv2D) (None, 9, 9, 32) 9216 activation_44[0][0] \n__________________________________________________________________________________________________\nconv2d_48 (Conv2D) (None, 9, 9, 64) 27648 activation_47[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_43 (BatchNo (None, 9, 9, 32) 96 conv2d_43[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_45 (BatchNo (None, 9, 9, 32) 96 conv2d_45[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_48 (BatchNo (None, 9, 9, 64) 192 conv2d_48[0][0] \n__________________________________________________________________________________________________\nactivation_43 (Activation) (None, 9, 9, 32) 0 batch_normalization_43[0][0] \n__________________________________________________________________________________________________\nactivation_45 (Activation) (None, 9, 9, 32) 0 batch_normalization_45[0][0] \n__________________________________________________________________________________________________\nactivation_48 (Activation) (None, 9, 9, 64) 0 batch_normalization_48[0][0] \n__________________________________________________________________________________________________\nblock35_6_mixed (Concatenate) (None, 9, 9, 128) 0 activation_43[0][0] \n activation_45[0][0] \n activation_48[0][0] \n__________________________________________________________________________________________________\nblock35_6_conv (Conv2D) (None, 9, 9, 320) 41280 block35_6_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_6 (Lambda) (None, 9, 9, 320) 0 block35_5_ac[0][0] \n block35_6_conv[0][0] \n__________________________________________________________________________________________________\nblock35_6_ac (Activation) (None, 9, 9, 320) 0 block35_6[0][0] \n__________________________________________________________________________________________________\nconv2d_52 (Conv2D) (None, 9, 9, 32) 10240 block35_6_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_52 (BatchNo (None, 9, 9, 32) 96 conv2d_52[0][0] \n__________________________________________________________________________________________________\nactivation_52 (Activation) (None, 9, 9, 32) 0 batch_normalization_52[0][0] \n__________________________________________________________________________________________________\nconv2d_50 (Conv2D) (None, 9, 9, 32) 10240 block35_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_53 (Conv2D) (None, 9, 9, 48) 13824 activation_52[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_50 (BatchNo (None, 9, 9, 32) 96 conv2d_50[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_53 (BatchNo (None, 9, 9, 48) 144 conv2d_53[0][0] \n__________________________________________________________________________________________________\nactivation_50 (Activation) (None, 9, 9, 32) 0 batch_normalization_50[0][0] \n__________________________________________________________________________________________________\nactivation_53 (Activation) (None, 9, 9, 48) 0 batch_normalization_53[0][0] \n__________________________________________________________________________________________________\nconv2d_49 (Conv2D) (None, 9, 9, 32) 10240 block35_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_51 (Conv2D) (None, 9, 9, 32) 9216 activation_50[0][0] \n__________________________________________________________________________________________________\nconv2d_54 (Conv2D) (None, 9, 9, 64) 27648 activation_53[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_49 (BatchNo (None, 9, 9, 32) 96 conv2d_49[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_51 (BatchNo (None, 9, 9, 32) 96 conv2d_51[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_54 (BatchNo (None, 9, 9, 64) 192 conv2d_54[0][0] \n__________________________________________________________________________________________________\nactivation_49 (Activation) (None, 9, 9, 32) 0 batch_normalization_49[0][0] \n__________________________________________________________________________________________________\nactivation_51 (Activation) (None, 9, 9, 32) 0 batch_normalization_51[0][0] \n__________________________________________________________________________________________________\nactivation_54 (Activation) (None, 9, 9, 64) 0 batch_normalization_54[0][0] \n__________________________________________________________________________________________________\nblock35_7_mixed (Concatenate) (None, 9, 9, 128) 0 activation_49[0][0] \n activation_51[0][0] \n activation_54[0][0] \n__________________________________________________________________________________________________\nblock35_7_conv (Conv2D) (None, 9, 9, 320) 41280 block35_7_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_7 (Lambda) (None, 9, 9, 320) 0 block35_6_ac[0][0] \n block35_7_conv[0][0] \n__________________________________________________________________________________________________\nblock35_7_ac (Activation) (None, 9, 9, 320) 0 block35_7[0][0] \n__________________________________________________________________________________________________\nconv2d_58 (Conv2D) (None, 9, 9, 32) 10240 block35_7_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_58 (BatchNo (None, 9, 9, 32) 96 conv2d_58[0][0] \n__________________________________________________________________________________________________\nactivation_58 (Activation) (None, 9, 9, 32) 0 batch_normalization_58[0][0] \n__________________________________________________________________________________________________\nconv2d_56 (Conv2D) (None, 9, 9, 32) 10240 block35_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_59 (Conv2D) (None, 9, 9, 48) 13824 activation_58[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_56 (BatchNo (None, 9, 9, 32) 96 conv2d_56[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_59 (BatchNo (None, 9, 9, 48) 144 conv2d_59[0][0] \n__________________________________________________________________________________________________\nactivation_56 (Activation) (None, 9, 9, 32) 0 batch_normalization_56[0][0] \n__________________________________________________________________________________________________\nactivation_59 (Activation) (None, 9, 9, 48) 0 batch_normalization_59[0][0] \n__________________________________________________________________________________________________\nconv2d_55 (Conv2D) (None, 9, 9, 32) 10240 block35_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_57 (Conv2D) (None, 9, 9, 32) 9216 activation_56[0][0] \n__________________________________________________________________________________________________\nconv2d_60 (Conv2D) (None, 9, 9, 64) 27648 activation_59[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_55 (BatchNo (None, 9, 9, 32) 96 conv2d_55[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_57 (BatchNo (None, 9, 9, 32) 96 conv2d_57[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_60 (BatchNo (None, 9, 9, 64) 192 conv2d_60[0][0] \n__________________________________________________________________________________________________\nactivation_55 (Activation) (None, 9, 9, 32) 0 batch_normalization_55[0][0] \n__________________________________________________________________________________________________\nactivation_57 (Activation) (None, 9, 9, 32) 0 batch_normalization_57[0][0] \n__________________________________________________________________________________________________\nactivation_60 (Activation) (None, 9, 9, 64) 0 batch_normalization_60[0][0] \n__________________________________________________________________________________________________\nblock35_8_mixed (Concatenate) (None, 9, 9, 128) 0 activation_55[0][0] \n activation_57[0][0] \n activation_60[0][0] \n__________________________________________________________________________________________________\nblock35_8_conv (Conv2D) (None, 9, 9, 320) 41280 block35_8_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_8 (Lambda) (None, 9, 9, 320) 0 block35_7_ac[0][0] \n block35_8_conv[0][0] \n__________________________________________________________________________________________________\nblock35_8_ac (Activation) (None, 9, 9, 320) 0 block35_8[0][0] \n__________________________________________________________________________________________________\nconv2d_64 (Conv2D) (None, 9, 9, 32) 10240 block35_8_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_64 (BatchNo (None, 9, 9, 32) 96 conv2d_64[0][0] \n__________________________________________________________________________________________________\nactivation_64 (Activation) (None, 9, 9, 32) 0 batch_normalization_64[0][0] \n__________________________________________________________________________________________________\nconv2d_62 (Conv2D) (None, 9, 9, 32) 10240 block35_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_65 (Conv2D) (None, 9, 9, 48) 13824 activation_64[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_62 (BatchNo (None, 9, 9, 32) 96 conv2d_62[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_65 (BatchNo (None, 9, 9, 48) 144 conv2d_65[0][0] \n__________________________________________________________________________________________________\nactivation_62 (Activation) (None, 9, 9, 32) 0 batch_normalization_62[0][0] \n__________________________________________________________________________________________________\nactivation_65 (Activation) (None, 9, 9, 48) 0 batch_normalization_65[0][0] \n__________________________________________________________________________________________________\nconv2d_61 (Conv2D) (None, 9, 9, 32) 10240 block35_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_63 (Conv2D) (None, 9, 9, 32) 9216 activation_62[0][0] \n__________________________________________________________________________________________________\nconv2d_66 (Conv2D) (None, 9, 9, 64) 27648 activation_65[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_61 (BatchNo (None, 9, 9, 32) 96 conv2d_61[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_63 (BatchNo (None, 9, 9, 32) 96 conv2d_63[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_66 (BatchNo (None, 9, 9, 64) 192 conv2d_66[0][0] \n__________________________________________________________________________________________________\nactivation_61 (Activation) (None, 9, 9, 32) 0 batch_normalization_61[0][0] \n__________________________________________________________________________________________________\nactivation_63 (Activation) (None, 9, 9, 32) 0 batch_normalization_63[0][0] \n__________________________________________________________________________________________________\nactivation_66 (Activation) (None, 9, 9, 64) 0 batch_normalization_66[0][0] \n__________________________________________________________________________________________________\nblock35_9_mixed (Concatenate) (None, 9, 9, 128) 0 activation_61[0][0] \n activation_63[0][0] \n activation_66[0][0] \n__________________________________________________________________________________________________\nblock35_9_conv (Conv2D) (None, 9, 9, 320) 41280 block35_9_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_9 (Lambda) (None, 9, 9, 320) 0 block35_8_ac[0][0] \n block35_9_conv[0][0] \n__________________________________________________________________________________________________\nblock35_9_ac (Activation) (None, 9, 9, 320) 0 block35_9[0][0] \n__________________________________________________________________________________________________\nconv2d_70 (Conv2D) (None, 9, 9, 32) 10240 block35_9_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_70 (BatchNo (None, 9, 9, 32) 96 conv2d_70[0][0] \n__________________________________________________________________________________________________\nactivation_70 (Activation) (None, 9, 9, 32) 0 batch_normalization_70[0][0] \n__________________________________________________________________________________________________\nconv2d_68 (Conv2D) (None, 9, 9, 32) 10240 block35_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_71 (Conv2D) (None, 9, 9, 48) 13824 activation_70[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_68 (BatchNo (None, 9, 9, 32) 96 conv2d_68[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_71 (BatchNo (None, 9, 9, 48) 144 conv2d_71[0][0] \n__________________________________________________________________________________________________\nactivation_68 (Activation) (None, 9, 9, 32) 0 batch_normalization_68[0][0] \n__________________________________________________________________________________________________\nactivation_71 (Activation) (None, 9, 9, 48) 0 batch_normalization_71[0][0] \n__________________________________________________________________________________________________\nconv2d_67 (Conv2D) (None, 9, 9, 32) 10240 block35_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_69 (Conv2D) (None, 9, 9, 32) 9216 activation_68[0][0] \n__________________________________________________________________________________________________\nconv2d_72 (Conv2D) (None, 9, 9, 64) 27648 activation_71[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_67 (BatchNo (None, 9, 9, 32) 96 conv2d_67[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_69 (BatchNo (None, 9, 9, 32) 96 conv2d_69[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_72 (BatchNo (None, 9, 9, 64) 192 conv2d_72[0][0] \n__________________________________________________________________________________________________\nactivation_67 (Activation) (None, 9, 9, 32) 0 batch_normalization_67[0][0] \n__________________________________________________________________________________________________\nactivation_69 (Activation) (None, 9, 9, 32) 0 batch_normalization_69[0][0] \n__________________________________________________________________________________________________\nactivation_72 (Activation) (None, 9, 9, 64) 0 batch_normalization_72[0][0] \n__________________________________________________________________________________________________\nblock35_10_mixed (Concatenate) (None, 9, 9, 128) 0 activation_67[0][0] \n activation_69[0][0] \n activation_72[0][0] \n__________________________________________________________________________________________________\nblock35_10_conv (Conv2D) (None, 9, 9, 320) 41280 block35_10_mixed[0][0] \n__________________________________________________________________________________________________\nblock35_10 (Lambda) (None, 9, 9, 320) 0 block35_9_ac[0][0] \n block35_10_conv[0][0] \n__________________________________________________________________________________________________\nblock35_10_ac (Activation) (None, 9, 9, 320) 0 block35_10[0][0] \n__________________________________________________________________________________________________\nconv2d_74 (Conv2D) (None, 9, 9, 256) 81920 block35_10_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_74 (BatchNo (None, 9, 9, 256) 768 conv2d_74[0][0] \n__________________________________________________________________________________________________\nactivation_74 (Activation) (None, 9, 9, 256) 0 batch_normalization_74[0][0] \n__________________________________________________________________________________________________\nconv2d_75 (Conv2D) (None, 9, 9, 256) 589824 activation_74[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_75 (BatchNo (None, 9, 9, 256) 768 conv2d_75[0][0] \n__________________________________________________________________________________________________\nactivation_75 (Activation) (None, 9, 9, 256) 0 batch_normalization_75[0][0] \n__________________________________________________________________________________________________\nconv2d_73 (Conv2D) (None, 4, 4, 384) 1105920 block35_10_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_76 (Conv2D) (None, 4, 4, 384) 884736 activation_75[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_73 (BatchNo (None, 4, 4, 384) 1152 conv2d_73[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_76 (BatchNo (None, 4, 4, 384) 1152 conv2d_76[0][0] \n__________________________________________________________________________________________________\nactivation_73 (Activation) (None, 4, 4, 384) 0 batch_normalization_73[0][0] \n__________________________________________________________________________________________________\nactivation_76 (Activation) (None, 4, 4, 384) 0 batch_normalization_76[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_3 (MaxPooling2D) (None, 4, 4, 320) 0 block35_10_ac[0][0] \n__________________________________________________________________________________________________\nmixed_6a (Concatenate) (None, 4, 4, 1088) 0 activation_73[0][0] \n activation_76[0][0] \n max_pooling2d_3[0][0] \n__________________________________________________________________________________________________\nconv2d_78 (Conv2D) (None, 4, 4, 128) 139264 mixed_6a[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_78 (BatchNo (None, 4, 4, 128) 384 conv2d_78[0][0] \n__________________________________________________________________________________________________\nactivation_78 (Activation) (None, 4, 4, 128) 0 batch_normalization_78[0][0] \n__________________________________________________________________________________________________\nconv2d_79 (Conv2D) (None, 4, 4, 160) 143360 activation_78[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_79 (BatchNo (None, 4, 4, 160) 480 conv2d_79[0][0] \n__________________________________________________________________________________________________\nactivation_79 (Activation) (None, 4, 4, 160) 0 batch_normalization_79[0][0] \n__________________________________________________________________________________________________\nconv2d_77 (Conv2D) (None, 4, 4, 192) 208896 mixed_6a[0][0] \n__________________________________________________________________________________________________\nconv2d_80 (Conv2D) (None, 4, 4, 192) 215040 activation_79[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_77 (BatchNo (None, 4, 4, 192) 576 conv2d_77[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_80 (BatchNo (None, 4, 4, 192) 576 conv2d_80[0][0] \n__________________________________________________________________________________________________\nactivation_77 (Activation) (None, 4, 4, 192) 0 batch_normalization_77[0][0] \n__________________________________________________________________________________________________\nactivation_80 (Activation) (None, 4, 4, 192) 0 batch_normalization_80[0][0] \n__________________________________________________________________________________________________\nblock17_1_mixed (Concatenate) (None, 4, 4, 384) 0 activation_77[0][0] \n activation_80[0][0] \n__________________________________________________________________________________________________\nblock17_1_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_1_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_1 (Lambda) (None, 4, 4, 1088) 0 mixed_6a[0][0] \n block17_1_conv[0][0] \n__________________________________________________________________________________________________\nblock17_1_ac (Activation) (None, 4, 4, 1088) 0 block17_1[0][0] \n__________________________________________________________________________________________________\nconv2d_82 (Conv2D) (None, 4, 4, 128) 139264 block17_1_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_82 (BatchNo (None, 4, 4, 128) 384 conv2d_82[0][0] \n__________________________________________________________________________________________________\nactivation_82 (Activation) (None, 4, 4, 128) 0 batch_normalization_82[0][0] \n__________________________________________________________________________________________________\nconv2d_83 (Conv2D) (None, 4, 4, 160) 143360 activation_82[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_83 (BatchNo (None, 4, 4, 160) 480 conv2d_83[0][0] \n__________________________________________________________________________________________________\nactivation_83 (Activation) (None, 4, 4, 160) 0 batch_normalization_83[0][0] \n__________________________________________________________________________________________________\nconv2d_81 (Conv2D) (None, 4, 4, 192) 208896 block17_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_84 (Conv2D) (None, 4, 4, 192) 215040 activation_83[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_81 (BatchNo (None, 4, 4, 192) 576 conv2d_81[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_84 (BatchNo (None, 4, 4, 192) 576 conv2d_84[0][0] \n__________________________________________________________________________________________________\nactivation_81 (Activation) (None, 4, 4, 192) 0 batch_normalization_81[0][0] \n__________________________________________________________________________________________________\nactivation_84 (Activation) (None, 4, 4, 192) 0 batch_normalization_84[0][0] \n__________________________________________________________________________________________________\nblock17_2_mixed (Concatenate) (None, 4, 4, 384) 0 activation_81[0][0] \n activation_84[0][0] \n__________________________________________________________________________________________________\nblock17_2_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_2_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_2 (Lambda) (None, 4, 4, 1088) 0 block17_1_ac[0][0] \n block17_2_conv[0][0] \n__________________________________________________________________________________________________\nblock17_2_ac (Activation) (None, 4, 4, 1088) 0 block17_2[0][0] \n__________________________________________________________________________________________________\nconv2d_86 (Conv2D) (None, 4, 4, 128) 139264 block17_2_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_86 (BatchNo (None, 4, 4, 128) 384 conv2d_86[0][0] \n__________________________________________________________________________________________________\nactivation_86 (Activation) (None, 4, 4, 128) 0 batch_normalization_86[0][0] \n__________________________________________________________________________________________________\nconv2d_87 (Conv2D) (None, 4, 4, 160) 143360 activation_86[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_87 (BatchNo (None, 4, 4, 160) 480 conv2d_87[0][0] \n__________________________________________________________________________________________________\nactivation_87 (Activation) (None, 4, 4, 160) 0 batch_normalization_87[0][0] \n__________________________________________________________________________________________________\nconv2d_85 (Conv2D) (None, 4, 4, 192) 208896 block17_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_88 (Conv2D) (None, 4, 4, 192) 215040 activation_87[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_85 (BatchNo (None, 4, 4, 192) 576 conv2d_85[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_88 (BatchNo (None, 4, 4, 192) 576 conv2d_88[0][0] \n__________________________________________________________________________________________________\nactivation_85 (Activation) (None, 4, 4, 192) 0 batch_normalization_85[0][0] \n__________________________________________________________________________________________________\nactivation_88 (Activation) (None, 4, 4, 192) 0 batch_normalization_88[0][0] \n__________________________________________________________________________________________________\nblock17_3_mixed (Concatenate) (None, 4, 4, 384) 0 activation_85[0][0] \n activation_88[0][0] \n__________________________________________________________________________________________________\nblock17_3_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_3_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_3 (Lambda) (None, 4, 4, 1088) 0 block17_2_ac[0][0] \n block17_3_conv[0][0] \n__________________________________________________________________________________________________\nblock17_3_ac (Activation) (None, 4, 4, 1088) 0 block17_3[0][0] \n__________________________________________________________________________________________________\nconv2d_90 (Conv2D) (None, 4, 4, 128) 139264 block17_3_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_90 (BatchNo (None, 4, 4, 128) 384 conv2d_90[0][0] \n__________________________________________________________________________________________________\nactivation_90 (Activation) (None, 4, 4, 128) 0 batch_normalization_90[0][0] \n__________________________________________________________________________________________________\nconv2d_91 (Conv2D) (None, 4, 4, 160) 143360 activation_90[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_91 (BatchNo (None, 4, 4, 160) 480 conv2d_91[0][0] \n__________________________________________________________________________________________________\nactivation_91 (Activation) (None, 4, 4, 160) 0 batch_normalization_91[0][0] \n__________________________________________________________________________________________________\nconv2d_89 (Conv2D) (None, 4, 4, 192) 208896 block17_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_92 (Conv2D) (None, 4, 4, 192) 215040 activation_91[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_89 (BatchNo (None, 4, 4, 192) 576 conv2d_89[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_92 (BatchNo (None, 4, 4, 192) 576 conv2d_92[0][0] \n__________________________________________________________________________________________________\nactivation_89 (Activation) (None, 4, 4, 192) 0 batch_normalization_89[0][0] \n__________________________________________________________________________________________________\nactivation_92 (Activation) (None, 4, 4, 192) 0 batch_normalization_92[0][0] \n__________________________________________________________________________________________________\nblock17_4_mixed (Concatenate) (None, 4, 4, 384) 0 activation_89[0][0] \n activation_92[0][0] \n__________________________________________________________________________________________________\nblock17_4_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_4_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_4 (Lambda) (None, 4, 4, 1088) 0 block17_3_ac[0][0] \n block17_4_conv[0][0] \n__________________________________________________________________________________________________\nblock17_4_ac (Activation) (None, 4, 4, 1088) 0 block17_4[0][0] \n__________________________________________________________________________________________________\nconv2d_94 (Conv2D) (None, 4, 4, 128) 139264 block17_4_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_94 (BatchNo (None, 4, 4, 128) 384 conv2d_94[0][0] \n__________________________________________________________________________________________________\nactivation_94 (Activation) (None, 4, 4, 128) 0 batch_normalization_94[0][0] \n__________________________________________________________________________________________________\nconv2d_95 (Conv2D) (None, 4, 4, 160) 143360 activation_94[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_95 (BatchNo (None, 4, 4, 160) 480 conv2d_95[0][0] \n__________________________________________________________________________________________________\nactivation_95 (Activation) (None, 4, 4, 160) 0 batch_normalization_95[0][0] \n__________________________________________________________________________________________________\nconv2d_93 (Conv2D) (None, 4, 4, 192) 208896 block17_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_96 (Conv2D) (None, 4, 4, 192) 215040 activation_95[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_93 (BatchNo (None, 4, 4, 192) 576 conv2d_93[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_96 (BatchNo (None, 4, 4, 192) 576 conv2d_96[0][0] \n__________________________________________________________________________________________________\nactivation_93 (Activation) (None, 4, 4, 192) 0 batch_normalization_93[0][0] \n__________________________________________________________________________________________________\nactivation_96 (Activation) (None, 4, 4, 192) 0 batch_normalization_96[0][0] \n__________________________________________________________________________________________________\nblock17_5_mixed (Concatenate) (None, 4, 4, 384) 0 activation_93[0][0] \n activation_96[0][0] \n__________________________________________________________________________________________________\nblock17_5_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_5_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_5 (Lambda) (None, 4, 4, 1088) 0 block17_4_ac[0][0] \n block17_5_conv[0][0] \n__________________________________________________________________________________________________\nblock17_5_ac (Activation) (None, 4, 4, 1088) 0 block17_5[0][0] \n__________________________________________________________________________________________________\nconv2d_98 (Conv2D) (None, 4, 4, 128) 139264 block17_5_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_98 (BatchNo (None, 4, 4, 128) 384 conv2d_98[0][0] \n__________________________________________________________________________________________________\nactivation_98 (Activation) (None, 4, 4, 128) 0 batch_normalization_98[0][0] \n__________________________________________________________________________________________________\nconv2d_99 (Conv2D) (None, 4, 4, 160) 143360 activation_98[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_99 (BatchNo (None, 4, 4, 160) 480 conv2d_99[0][0] \n__________________________________________________________________________________________________\nactivation_99 (Activation) (None, 4, 4, 160) 0 batch_normalization_99[0][0] \n__________________________________________________________________________________________________\nconv2d_97 (Conv2D) (None, 4, 4, 192) 208896 block17_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_100 (Conv2D) (None, 4, 4, 192) 215040 activation_99[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_97 (BatchNo (None, 4, 4, 192) 576 conv2d_97[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_100 (BatchN (None, 4, 4, 192) 576 conv2d_100[0][0] \n__________________________________________________________________________________________________\nactivation_97 (Activation) (None, 4, 4, 192) 0 batch_normalization_97[0][0] \n__________________________________________________________________________________________________\nactivation_100 (Activation) (None, 4, 4, 192) 0 batch_normalization_100[0][0] \n__________________________________________________________________________________________________\nblock17_6_mixed (Concatenate) (None, 4, 4, 384) 0 activation_97[0][0] \n activation_100[0][0] \n__________________________________________________________________________________________________\nblock17_6_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_6_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_6 (Lambda) (None, 4, 4, 1088) 0 block17_5_ac[0][0] \n block17_6_conv[0][0] \n__________________________________________________________________________________________________\nblock17_6_ac (Activation) (None, 4, 4, 1088) 0 block17_6[0][0] \n__________________________________________________________________________________________________\nconv2d_102 (Conv2D) (None, 4, 4, 128) 139264 block17_6_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_102 (BatchN (None, 4, 4, 128) 384 conv2d_102[0][0] \n__________________________________________________________________________________________________\nactivation_102 (Activation) (None, 4, 4, 128) 0 batch_normalization_102[0][0] \n__________________________________________________________________________________________________\nconv2d_103 (Conv2D) (None, 4, 4, 160) 143360 activation_102[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_103 (BatchN (None, 4, 4, 160) 480 conv2d_103[0][0] \n__________________________________________________________________________________________________\nactivation_103 (Activation) (None, 4, 4, 160) 0 batch_normalization_103[0][0] \n__________________________________________________________________________________________________\nconv2d_101 (Conv2D) (None, 4, 4, 192) 208896 block17_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_104 (Conv2D) (None, 4, 4, 192) 215040 activation_103[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_101 (BatchN (None, 4, 4, 192) 576 conv2d_101[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_104 (BatchN (None, 4, 4, 192) 576 conv2d_104[0][0] \n__________________________________________________________________________________________________\nactivation_101 (Activation) (None, 4, 4, 192) 0 batch_normalization_101[0][0] \n__________________________________________________________________________________________________\nactivation_104 (Activation) (None, 4, 4, 192) 0 batch_normalization_104[0][0] \n__________________________________________________________________________________________________\nblock17_7_mixed (Concatenate) (None, 4, 4, 384) 0 activation_101[0][0] \n activation_104[0][0] \n__________________________________________________________________________________________________\nblock17_7_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_7_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_7 (Lambda) (None, 4, 4, 1088) 0 block17_6_ac[0][0] \n block17_7_conv[0][0] \n__________________________________________________________________________________________________\nblock17_7_ac (Activation) (None, 4, 4, 1088) 0 block17_7[0][0] \n__________________________________________________________________________________________________\nconv2d_106 (Conv2D) (None, 4, 4, 128) 139264 block17_7_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_106 (BatchN (None, 4, 4, 128) 384 conv2d_106[0][0] \n__________________________________________________________________________________________________\nactivation_106 (Activation) (None, 4, 4, 128) 0 batch_normalization_106[0][0] \n__________________________________________________________________________________________________\nconv2d_107 (Conv2D) (None, 4, 4, 160) 143360 activation_106[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_107 (BatchN (None, 4, 4, 160) 480 conv2d_107[0][0] \n__________________________________________________________________________________________________\nactivation_107 (Activation) (None, 4, 4, 160) 0 batch_normalization_107[0][0] \n__________________________________________________________________________________________________\nconv2d_105 (Conv2D) (None, 4, 4, 192) 208896 block17_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_108 (Conv2D) (None, 4, 4, 192) 215040 activation_107[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_105 (BatchN (None, 4, 4, 192) 576 conv2d_105[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_108 (BatchN (None, 4, 4, 192) 576 conv2d_108[0][0] \n__________________________________________________________________________________________________\nactivation_105 (Activation) (None, 4, 4, 192) 0 batch_normalization_105[0][0] \n__________________________________________________________________________________________________\nactivation_108 (Activation) (None, 4, 4, 192) 0 batch_normalization_108[0][0] \n__________________________________________________________________________________________________\nblock17_8_mixed (Concatenate) (None, 4, 4, 384) 0 activation_105[0][0] \n activation_108[0][0] \n__________________________________________________________________________________________________\nblock17_8_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_8_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_8 (Lambda) (None, 4, 4, 1088) 0 block17_7_ac[0][0] \n block17_8_conv[0][0] \n__________________________________________________________________________________________________\nblock17_8_ac (Activation) (None, 4, 4, 1088) 0 block17_8[0][0] \n__________________________________________________________________________________________________\nconv2d_110 (Conv2D) (None, 4, 4, 128) 139264 block17_8_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_110 (BatchN (None, 4, 4, 128) 384 conv2d_110[0][0] \n__________________________________________________________________________________________________\nactivation_110 (Activation) (None, 4, 4, 128) 0 batch_normalization_110[0][0] \n__________________________________________________________________________________________________\nconv2d_111 (Conv2D) (None, 4, 4, 160) 143360 activation_110[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_111 (BatchN (None, 4, 4, 160) 480 conv2d_111[0][0] \n__________________________________________________________________________________________________\nactivation_111 (Activation) (None, 4, 4, 160) 0 batch_normalization_111[0][0] \n__________________________________________________________________________________________________\nconv2d_109 (Conv2D) (None, 4, 4, 192) 208896 block17_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_112 (Conv2D) (None, 4, 4, 192) 215040 activation_111[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_109 (BatchN (None, 4, 4, 192) 576 conv2d_109[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_112 (BatchN (None, 4, 4, 192) 576 conv2d_112[0][0] \n__________________________________________________________________________________________________\nactivation_109 (Activation) (None, 4, 4, 192) 0 batch_normalization_109[0][0] \n__________________________________________________________________________________________________\nactivation_112 (Activation) (None, 4, 4, 192) 0 batch_normalization_112[0][0] \n__________________________________________________________________________________________________\nblock17_9_mixed (Concatenate) (None, 4, 4, 384) 0 activation_109[0][0] \n activation_112[0][0] \n__________________________________________________________________________________________________\nblock17_9_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_9_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_9 (Lambda) (None, 4, 4, 1088) 0 block17_8_ac[0][0] \n block17_9_conv[0][0] \n__________________________________________________________________________________________________\nblock17_9_ac (Activation) (None, 4, 4, 1088) 0 block17_9[0][0] \n__________________________________________________________________________________________________\nconv2d_114 (Conv2D) (None, 4, 4, 128) 139264 block17_9_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_114 (BatchN (None, 4, 4, 128) 384 conv2d_114[0][0] \n__________________________________________________________________________________________________\nactivation_114 (Activation) (None, 4, 4, 128) 0 batch_normalization_114[0][0] \n__________________________________________________________________________________________________\nconv2d_115 (Conv2D) (None, 4, 4, 160) 143360 activation_114[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_115 (BatchN (None, 4, 4, 160) 480 conv2d_115[0][0] \n__________________________________________________________________________________________________\nactivation_115 (Activation) (None, 4, 4, 160) 0 batch_normalization_115[0][0] \n__________________________________________________________________________________________________\nconv2d_113 (Conv2D) (None, 4, 4, 192) 208896 block17_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_116 (Conv2D) (None, 4, 4, 192) 215040 activation_115[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_113 (BatchN (None, 4, 4, 192) 576 conv2d_113[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_116 (BatchN (None, 4, 4, 192) 576 conv2d_116[0][0] \n__________________________________________________________________________________________________\nactivation_113 (Activation) (None, 4, 4, 192) 0 batch_normalization_113[0][0] \n__________________________________________________________________________________________________\nactivation_116 (Activation) (None, 4, 4, 192) 0 batch_normalization_116[0][0] \n__________________________________________________________________________________________________\nblock17_10_mixed (Concatenate) (None, 4, 4, 384) 0 activation_113[0][0] \n activation_116[0][0] \n__________________________________________________________________________________________________\nblock17_10_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_10_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_10 (Lambda) (None, 4, 4, 1088) 0 block17_9_ac[0][0] \n block17_10_conv[0][0] \n__________________________________________________________________________________________________\nblock17_10_ac (Activation) (None, 4, 4, 1088) 0 block17_10[0][0] \n__________________________________________________________________________________________________\nconv2d_118 (Conv2D) (None, 4, 4, 128) 139264 block17_10_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_118 (BatchN (None, 4, 4, 128) 384 conv2d_118[0][0] \n__________________________________________________________________________________________________\nactivation_118 (Activation) (None, 4, 4, 128) 0 batch_normalization_118[0][0] \n__________________________________________________________________________________________________\nconv2d_119 (Conv2D) (None, 4, 4, 160) 143360 activation_118[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_119 (BatchN (None, 4, 4, 160) 480 conv2d_119[0][0] \n__________________________________________________________________________________________________\nactivation_119 (Activation) (None, 4, 4, 160) 0 batch_normalization_119[0][0] \n__________________________________________________________________________________________________\nconv2d_117 (Conv2D) (None, 4, 4, 192) 208896 block17_10_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_120 (Conv2D) (None, 4, 4, 192) 215040 activation_119[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_117 (BatchN (None, 4, 4, 192) 576 conv2d_117[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_120 (BatchN (None, 4, 4, 192) 576 conv2d_120[0][0] \n__________________________________________________________________________________________________\nactivation_117 (Activation) (None, 4, 4, 192) 0 batch_normalization_117[0][0] \n__________________________________________________________________________________________________\nactivation_120 (Activation) (None, 4, 4, 192) 0 batch_normalization_120[0][0] \n__________________________________________________________________________________________________\nblock17_11_mixed (Concatenate) (None, 4, 4, 384) 0 activation_117[0][0] \n activation_120[0][0] \n__________________________________________________________________________________________________\nblock17_11_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_11_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_11 (Lambda) (None, 4, 4, 1088) 0 block17_10_ac[0][0] \n block17_11_conv[0][0] \n__________________________________________________________________________________________________\nblock17_11_ac (Activation) (None, 4, 4, 1088) 0 block17_11[0][0] \n__________________________________________________________________________________________________\nconv2d_122 (Conv2D) (None, 4, 4, 128) 139264 block17_11_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_122 (BatchN (None, 4, 4, 128) 384 conv2d_122[0][0] \n__________________________________________________________________________________________________\nactivation_122 (Activation) (None, 4, 4, 128) 0 batch_normalization_122[0][0] \n__________________________________________________________________________________________________\nconv2d_123 (Conv2D) (None, 4, 4, 160) 143360 activation_122[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_123 (BatchN (None, 4, 4, 160) 480 conv2d_123[0][0] \n__________________________________________________________________________________________________\nactivation_123 (Activation) (None, 4, 4, 160) 0 batch_normalization_123[0][0] \n__________________________________________________________________________________________________\nconv2d_121 (Conv2D) (None, 4, 4, 192) 208896 block17_11_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_124 (Conv2D) (None, 4, 4, 192) 215040 activation_123[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_121 (BatchN (None, 4, 4, 192) 576 conv2d_121[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_124 (BatchN (None, 4, 4, 192) 576 conv2d_124[0][0] \n__________________________________________________________________________________________________\nactivation_121 (Activation) (None, 4, 4, 192) 0 batch_normalization_121[0][0] \n__________________________________________________________________________________________________\nactivation_124 (Activation) (None, 4, 4, 192) 0 batch_normalization_124[0][0] \n__________________________________________________________________________________________________\nblock17_12_mixed (Concatenate) (None, 4, 4, 384) 0 activation_121[0][0] \n activation_124[0][0] \n__________________________________________________________________________________________________\nblock17_12_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_12_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_12 (Lambda) (None, 4, 4, 1088) 0 block17_11_ac[0][0] \n block17_12_conv[0][0] \n__________________________________________________________________________________________________\nblock17_12_ac (Activation) (None, 4, 4, 1088) 0 block17_12[0][0] \n__________________________________________________________________________________________________\nconv2d_126 (Conv2D) (None, 4, 4, 128) 139264 block17_12_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_126 (BatchN (None, 4, 4, 128) 384 conv2d_126[0][0] \n__________________________________________________________________________________________________\nactivation_126 (Activation) (None, 4, 4, 128) 0 batch_normalization_126[0][0] \n__________________________________________________________________________________________________\nconv2d_127 (Conv2D) (None, 4, 4, 160) 143360 activation_126[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_127 (BatchN (None, 4, 4, 160) 480 conv2d_127[0][0] \n__________________________________________________________________________________________________\nactivation_127 (Activation) (None, 4, 4, 160) 0 batch_normalization_127[0][0] \n__________________________________________________________________________________________________\nconv2d_125 (Conv2D) (None, 4, 4, 192) 208896 block17_12_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_128 (Conv2D) (None, 4, 4, 192) 215040 activation_127[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_125 (BatchN (None, 4, 4, 192) 576 conv2d_125[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_128 (BatchN (None, 4, 4, 192) 576 conv2d_128[0][0] \n__________________________________________________________________________________________________\nactivation_125 (Activation) (None, 4, 4, 192) 0 batch_normalization_125[0][0] \n__________________________________________________________________________________________________\nactivation_128 (Activation) (None, 4, 4, 192) 0 batch_normalization_128[0][0] \n__________________________________________________________________________________________________\nblock17_13_mixed (Concatenate) (None, 4, 4, 384) 0 activation_125[0][0] \n activation_128[0][0] \n__________________________________________________________________________________________________\nblock17_13_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_13_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_13 (Lambda) (None, 4, 4, 1088) 0 block17_12_ac[0][0] \n block17_13_conv[0][0] \n__________________________________________________________________________________________________\nblock17_13_ac (Activation) (None, 4, 4, 1088) 0 block17_13[0][0] \n__________________________________________________________________________________________________\nconv2d_130 (Conv2D) (None, 4, 4, 128) 139264 block17_13_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_130 (BatchN (None, 4, 4, 128) 384 conv2d_130[0][0] \n__________________________________________________________________________________________________\nactivation_130 (Activation) (None, 4, 4, 128) 0 batch_normalization_130[0][0] \n__________________________________________________________________________________________________\nconv2d_131 (Conv2D) (None, 4, 4, 160) 143360 activation_130[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_131 (BatchN (None, 4, 4, 160) 480 conv2d_131[0][0] \n__________________________________________________________________________________________________\nactivation_131 (Activation) (None, 4, 4, 160) 0 batch_normalization_131[0][0] \n__________________________________________________________________________________________________\nconv2d_129 (Conv2D) (None, 4, 4, 192) 208896 block17_13_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_132 (Conv2D) (None, 4, 4, 192) 215040 activation_131[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_129 (BatchN (None, 4, 4, 192) 576 conv2d_129[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_132 (BatchN (None, 4, 4, 192) 576 conv2d_132[0][0] \n__________________________________________________________________________________________________\nactivation_129 (Activation) (None, 4, 4, 192) 0 batch_normalization_129[0][0] \n__________________________________________________________________________________________________\nactivation_132 (Activation) (None, 4, 4, 192) 0 batch_normalization_132[0][0] \n__________________________________________________________________________________________________\nblock17_14_mixed (Concatenate) (None, 4, 4, 384) 0 activation_129[0][0] \n activation_132[0][0] \n__________________________________________________________________________________________________\nblock17_14_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_14_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_14 (Lambda) (None, 4, 4, 1088) 0 block17_13_ac[0][0] \n block17_14_conv[0][0] \n__________________________________________________________________________________________________\nblock17_14_ac (Activation) (None, 4, 4, 1088) 0 block17_14[0][0] \n__________________________________________________________________________________________________\nconv2d_134 (Conv2D) (None, 4, 4, 128) 139264 block17_14_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_134 (BatchN (None, 4, 4, 128) 384 conv2d_134[0][0] \n__________________________________________________________________________________________________\nactivation_134 (Activation) (None, 4, 4, 128) 0 batch_normalization_134[0][0] \n__________________________________________________________________________________________________\nconv2d_135 (Conv2D) (None, 4, 4, 160) 143360 activation_134[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_135 (BatchN (None, 4, 4, 160) 480 conv2d_135[0][0] \n__________________________________________________________________________________________________\nactivation_135 (Activation) (None, 4, 4, 160) 0 batch_normalization_135[0][0] \n__________________________________________________________________________________________________\nconv2d_133 (Conv2D) (None, 4, 4, 192) 208896 block17_14_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_136 (Conv2D) (None, 4, 4, 192) 215040 activation_135[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_133 (BatchN (None, 4, 4, 192) 576 conv2d_133[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_136 (BatchN (None, 4, 4, 192) 576 conv2d_136[0][0] \n__________________________________________________________________________________________________\nactivation_133 (Activation) (None, 4, 4, 192) 0 batch_normalization_133[0][0] \n__________________________________________________________________________________________________\nactivation_136 (Activation) (None, 4, 4, 192) 0 batch_normalization_136[0][0] \n__________________________________________________________________________________________________\nblock17_15_mixed (Concatenate) (None, 4, 4, 384) 0 activation_133[0][0] \n activation_136[0][0] \n__________________________________________________________________________________________________\nblock17_15_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_15_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_15 (Lambda) (None, 4, 4, 1088) 0 block17_14_ac[0][0] \n block17_15_conv[0][0] \n__________________________________________________________________________________________________\nblock17_15_ac (Activation) (None, 4, 4, 1088) 0 block17_15[0][0] \n__________________________________________________________________________________________________\nconv2d_138 (Conv2D) (None, 4, 4, 128) 139264 block17_15_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_138 (BatchN (None, 4, 4, 128) 384 conv2d_138[0][0] \n__________________________________________________________________________________________________\nactivation_138 (Activation) (None, 4, 4, 128) 0 batch_normalization_138[0][0] \n__________________________________________________________________________________________________\nconv2d_139 (Conv2D) (None, 4, 4, 160) 143360 activation_138[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_139 (BatchN (None, 4, 4, 160) 480 conv2d_139[0][0] \n__________________________________________________________________________________________________\nactivation_139 (Activation) (None, 4, 4, 160) 0 batch_normalization_139[0][0] \n__________________________________________________________________________________________________\nconv2d_137 (Conv2D) (None, 4, 4, 192) 208896 block17_15_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_140 (Conv2D) (None, 4, 4, 192) 215040 activation_139[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_137 (BatchN (None, 4, 4, 192) 576 conv2d_137[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_140 (BatchN (None, 4, 4, 192) 576 conv2d_140[0][0] \n__________________________________________________________________________________________________\nactivation_137 (Activation) (None, 4, 4, 192) 0 batch_normalization_137[0][0] \n__________________________________________________________________________________________________\nactivation_140 (Activation) (None, 4, 4, 192) 0 batch_normalization_140[0][0] \n__________________________________________________________________________________________________\nblock17_16_mixed (Concatenate) (None, 4, 4, 384) 0 activation_137[0][0] \n activation_140[0][0] \n__________________________________________________________________________________________________\nblock17_16_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_16_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_16 (Lambda) (None, 4, 4, 1088) 0 block17_15_ac[0][0] \n block17_16_conv[0][0] \n__________________________________________________________________________________________________\nblock17_16_ac (Activation) (None, 4, 4, 1088) 0 block17_16[0][0] \n__________________________________________________________________________________________________\nconv2d_142 (Conv2D) (None, 4, 4, 128) 139264 block17_16_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_142 (BatchN (None, 4, 4, 128) 384 conv2d_142[0][0] \n__________________________________________________________________________________________________\nactivation_142 (Activation) (None, 4, 4, 128) 0 batch_normalization_142[0][0] \n__________________________________________________________________________________________________\nconv2d_143 (Conv2D) (None, 4, 4, 160) 143360 activation_142[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_143 (BatchN (None, 4, 4, 160) 480 conv2d_143[0][0] \n__________________________________________________________________________________________________\nactivation_143 (Activation) (None, 4, 4, 160) 0 batch_normalization_143[0][0] \n__________________________________________________________________________________________________\nconv2d_141 (Conv2D) (None, 4, 4, 192) 208896 block17_16_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_144 (Conv2D) (None, 4, 4, 192) 215040 activation_143[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_141 (BatchN (None, 4, 4, 192) 576 conv2d_141[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_144 (BatchN (None, 4, 4, 192) 576 conv2d_144[0][0] \n__________________________________________________________________________________________________\nactivation_141 (Activation) (None, 4, 4, 192) 0 batch_normalization_141[0][0] \n__________________________________________________________________________________________________\nactivation_144 (Activation) (None, 4, 4, 192) 0 batch_normalization_144[0][0] \n__________________________________________________________________________________________________\nblock17_17_mixed (Concatenate) (None, 4, 4, 384) 0 activation_141[0][0] \n activation_144[0][0] \n__________________________________________________________________________________________________\nblock17_17_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_17_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_17 (Lambda) (None, 4, 4, 1088) 0 block17_16_ac[0][0] \n block17_17_conv[0][0] \n__________________________________________________________________________________________________\nblock17_17_ac (Activation) (None, 4, 4, 1088) 0 block17_17[0][0] \n__________________________________________________________________________________________________\nconv2d_146 (Conv2D) (None, 4, 4, 128) 139264 block17_17_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_146 (BatchN (None, 4, 4, 128) 384 conv2d_146[0][0] \n__________________________________________________________________________________________________\nactivation_146 (Activation) (None, 4, 4, 128) 0 batch_normalization_146[0][0] \n__________________________________________________________________________________________________\nconv2d_147 (Conv2D) (None, 4, 4, 160) 143360 activation_146[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_147 (BatchN (None, 4, 4, 160) 480 conv2d_147[0][0] \n__________________________________________________________________________________________________\nactivation_147 (Activation) (None, 4, 4, 160) 0 batch_normalization_147[0][0] \n__________________________________________________________________________________________________\nconv2d_145 (Conv2D) (None, 4, 4, 192) 208896 block17_17_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_148 (Conv2D) (None, 4, 4, 192) 215040 activation_147[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_145 (BatchN (None, 4, 4, 192) 576 conv2d_145[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_148 (BatchN (None, 4, 4, 192) 576 conv2d_148[0][0] \n__________________________________________________________________________________________________\nactivation_145 (Activation) (None, 4, 4, 192) 0 batch_normalization_145[0][0] \n__________________________________________________________________________________________________\nactivation_148 (Activation) (None, 4, 4, 192) 0 batch_normalization_148[0][0] \n__________________________________________________________________________________________________\nblock17_18_mixed (Concatenate) (None, 4, 4, 384) 0 activation_145[0][0] \n activation_148[0][0] \n__________________________________________________________________________________________________\nblock17_18_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_18_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_18 (Lambda) (None, 4, 4, 1088) 0 block17_17_ac[0][0] \n block17_18_conv[0][0] \n__________________________________________________________________________________________________\nblock17_18_ac (Activation) (None, 4, 4, 1088) 0 block17_18[0][0] \n__________________________________________________________________________________________________\nconv2d_150 (Conv2D) (None, 4, 4, 128) 139264 block17_18_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_150 (BatchN (None, 4, 4, 128) 384 conv2d_150[0][0] \n__________________________________________________________________________________________________\nactivation_150 (Activation) (None, 4, 4, 128) 0 batch_normalization_150[0][0] \n__________________________________________________________________________________________________\nconv2d_151 (Conv2D) (None, 4, 4, 160) 143360 activation_150[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_151 (BatchN (None, 4, 4, 160) 480 conv2d_151[0][0] \n__________________________________________________________________________________________________\nactivation_151 (Activation) (None, 4, 4, 160) 0 batch_normalization_151[0][0] \n__________________________________________________________________________________________________\nconv2d_149 (Conv2D) (None, 4, 4, 192) 208896 block17_18_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_152 (Conv2D) (None, 4, 4, 192) 215040 activation_151[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_149 (BatchN (None, 4, 4, 192) 576 conv2d_149[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_152 (BatchN (None, 4, 4, 192) 576 conv2d_152[0][0] \n__________________________________________________________________________________________________\nactivation_149 (Activation) (None, 4, 4, 192) 0 batch_normalization_149[0][0] \n__________________________________________________________________________________________________\nactivation_152 (Activation) (None, 4, 4, 192) 0 batch_normalization_152[0][0] \n__________________________________________________________________________________________________\nblock17_19_mixed (Concatenate) (None, 4, 4, 384) 0 activation_149[0][0] \n activation_152[0][0] \n__________________________________________________________________________________________________\nblock17_19_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_19_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_19 (Lambda) (None, 4, 4, 1088) 0 block17_18_ac[0][0] \n block17_19_conv[0][0] \n__________________________________________________________________________________________________\nblock17_19_ac (Activation) (None, 4, 4, 1088) 0 block17_19[0][0] \n__________________________________________________________________________________________________\nconv2d_154 (Conv2D) (None, 4, 4, 128) 139264 block17_19_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_154 (BatchN (None, 4, 4, 128) 384 conv2d_154[0][0] \n__________________________________________________________________________________________________\nactivation_154 (Activation) (None, 4, 4, 128) 0 batch_normalization_154[0][0] \n__________________________________________________________________________________________________\nconv2d_155 (Conv2D) (None, 4, 4, 160) 143360 activation_154[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_155 (BatchN (None, 4, 4, 160) 480 conv2d_155[0][0] \n__________________________________________________________________________________________________\nactivation_155 (Activation) (None, 4, 4, 160) 0 batch_normalization_155[0][0] \n__________________________________________________________________________________________________\nconv2d_153 (Conv2D) (None, 4, 4, 192) 208896 block17_19_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_156 (Conv2D) (None, 4, 4, 192) 215040 activation_155[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_153 (BatchN (None, 4, 4, 192) 576 conv2d_153[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_156 (BatchN (None, 4, 4, 192) 576 conv2d_156[0][0] \n__________________________________________________________________________________________________\nactivation_153 (Activation) (None, 4, 4, 192) 0 batch_normalization_153[0][0] \n__________________________________________________________________________________________________\nactivation_156 (Activation) (None, 4, 4, 192) 0 batch_normalization_156[0][0] \n__________________________________________________________________________________________________\nblock17_20_mixed (Concatenate) (None, 4, 4, 384) 0 activation_153[0][0] \n activation_156[0][0] \n__________________________________________________________________________________________________\nblock17_20_conv (Conv2D) (None, 4, 4, 1088) 418880 block17_20_mixed[0][0] \n__________________________________________________________________________________________________\nblock17_20 (Lambda) (None, 4, 4, 1088) 0 block17_19_ac[0][0] \n block17_20_conv[0][0] \n__________________________________________________________________________________________________\nblock17_20_ac (Activation) (None, 4, 4, 1088) 0 block17_20[0][0] \n__________________________________________________________________________________________________\nconv2d_161 (Conv2D) (None, 4, 4, 256) 278528 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_161 (BatchN (None, 4, 4, 256) 768 conv2d_161[0][0] \n__________________________________________________________________________________________________\nactivation_161 (Activation) (None, 4, 4, 256) 0 batch_normalization_161[0][0] \n__________________________________________________________________________________________________\nconv2d_157 (Conv2D) (None, 4, 4, 256) 278528 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_159 (Conv2D) (None, 4, 4, 256) 278528 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_162 (Conv2D) (None, 4, 4, 288) 663552 activation_161[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_157 (BatchN (None, 4, 4, 256) 768 conv2d_157[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_159 (BatchN (None, 4, 4, 256) 768 conv2d_159[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_162 (BatchN (None, 4, 4, 288) 864 conv2d_162[0][0] \n__________________________________________________________________________________________________\nactivation_157 (Activation) (None, 4, 4, 256) 0 batch_normalization_157[0][0] \n__________________________________________________________________________________________________\nactivation_159 (Activation) (None, 4, 4, 256) 0 batch_normalization_159[0][0] \n__________________________________________________________________________________________________\nactivation_162 (Activation) (None, 4, 4, 288) 0 batch_normalization_162[0][0] \n__________________________________________________________________________________________________\nconv2d_158 (Conv2D) (None, 1, 1, 384) 884736 activation_157[0][0] \n__________________________________________________________________________________________________\nconv2d_160 (Conv2D) (None, 1, 1, 288) 663552 activation_159[0][0] \n__________________________________________________________________________________________________\nconv2d_163 (Conv2D) (None, 1, 1, 320) 829440 activation_162[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_158 (BatchN (None, 1, 1, 384) 1152 conv2d_158[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_160 (BatchN (None, 1, 1, 288) 864 conv2d_160[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_163 (BatchN (None, 1, 1, 320) 960 conv2d_163[0][0] \n__________________________________________________________________________________________________\nactivation_158 (Activation) (None, 1, 1, 384) 0 batch_normalization_158[0][0] \n__________________________________________________________________________________________________\nactivation_160 (Activation) (None, 1, 1, 288) 0 batch_normalization_160[0][0] \n__________________________________________________________________________________________________\nactivation_163 (Activation) (None, 1, 1, 320) 0 batch_normalization_163[0][0] \n__________________________________________________________________________________________________\nmax_pooling2d_4 (MaxPooling2D) (None, 1, 1, 1088) 0 block17_20_ac[0][0] \n__________________________________________________________________________________________________\nmixed_7a (Concatenate) (None, 1, 1, 2080) 0 activation_158[0][0] \n activation_160[0][0] \n activation_163[0][0] \n max_pooling2d_4[0][0] \n__________________________________________________________________________________________________\nconv2d_165 (Conv2D) (None, 1, 1, 192) 399360 mixed_7a[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_165 (BatchN (None, 1, 1, 192) 576 conv2d_165[0][0] \n__________________________________________________________________________________________________\nactivation_165 (Activation) (None, 1, 1, 192) 0 batch_normalization_165[0][0] \n__________________________________________________________________________________________________\nconv2d_166 (Conv2D) (None, 1, 1, 224) 129024 activation_165[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_166 (BatchN (None, 1, 1, 224) 672 conv2d_166[0][0] \n__________________________________________________________________________________________________\nactivation_166 (Activation) (None, 1, 1, 224) 0 batch_normalization_166[0][0] \n__________________________________________________________________________________________________\nconv2d_164 (Conv2D) (None, 1, 1, 192) 399360 mixed_7a[0][0] \n__________________________________________________________________________________________________\nconv2d_167 (Conv2D) (None, 1, 1, 256) 172032 activation_166[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_164 (BatchN (None, 1, 1, 192) 576 conv2d_164[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_167 (BatchN (None, 1, 1, 256) 768 conv2d_167[0][0] \n__________________________________________________________________________________________________\nactivation_164 (Activation) (None, 1, 1, 192) 0 batch_normalization_164[0][0] \n__________________________________________________________________________________________________\nactivation_167 (Activation) (None, 1, 1, 256) 0 batch_normalization_167[0][0] \n__________________________________________________________________________________________________\nblock8_1_mixed (Concatenate) (None, 1, 1, 448) 0 activation_164[0][0] \n activation_167[0][0] \n__________________________________________________________________________________________________\nblock8_1_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_1_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_1 (Lambda) (None, 1, 1, 2080) 0 mixed_7a[0][0] \n block8_1_conv[0][0] \n__________________________________________________________________________________________________\nblock8_1_ac (Activation) (None, 1, 1, 2080) 0 block8_1[0][0] \n__________________________________________________________________________________________________\nconv2d_169 (Conv2D) (None, 1, 1, 192) 399360 block8_1_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_169 (BatchN (None, 1, 1, 192) 576 conv2d_169[0][0] \n__________________________________________________________________________________________________\nactivation_169 (Activation) (None, 1, 1, 192) 0 batch_normalization_169[0][0] \n__________________________________________________________________________________________________\nconv2d_170 (Conv2D) (None, 1, 1, 224) 129024 activation_169[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_170 (BatchN (None, 1, 1, 224) 672 conv2d_170[0][0] \n__________________________________________________________________________________________________\nactivation_170 (Activation) (None, 1, 1, 224) 0 batch_normalization_170[0][0] \n__________________________________________________________________________________________________\nconv2d_168 (Conv2D) (None, 1, 1, 192) 399360 block8_1_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_171 (Conv2D) (None, 1, 1, 256) 172032 activation_170[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_168 (BatchN (None, 1, 1, 192) 576 conv2d_168[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_171 (BatchN (None, 1, 1, 256) 768 conv2d_171[0][0] \n__________________________________________________________________________________________________\nactivation_168 (Activation) (None, 1, 1, 192) 0 batch_normalization_168[0][0] \n__________________________________________________________________________________________________\nactivation_171 (Activation) (None, 1, 1, 256) 0 batch_normalization_171[0][0] \n__________________________________________________________________________________________________\nblock8_2_mixed (Concatenate) (None, 1, 1, 448) 0 activation_168[0][0] \n activation_171[0][0] \n__________________________________________________________________________________________________\nblock8_2_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_2_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_2 (Lambda) (None, 1, 1, 2080) 0 block8_1_ac[0][0] \n block8_2_conv[0][0] \n__________________________________________________________________________________________________\nblock8_2_ac (Activation) (None, 1, 1, 2080) 0 block8_2[0][0] \n__________________________________________________________________________________________________\nconv2d_173 (Conv2D) (None, 1, 1, 192) 399360 block8_2_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_173 (BatchN (None, 1, 1, 192) 576 conv2d_173[0][0] \n__________________________________________________________________________________________________\nactivation_173 (Activation) (None, 1, 1, 192) 0 batch_normalization_173[0][0] \n__________________________________________________________________________________________________\nconv2d_174 (Conv2D) (None, 1, 1, 224) 129024 activation_173[0][0] \n__________________________________________________________________________________________________\n","name":"stdout"},{"output_type":"stream","text":"batch_normalization_174 (BatchN (None, 1, 1, 224) 672 conv2d_174[0][0] \n__________________________________________________________________________________________________\nactivation_174 (Activation) (None, 1, 1, 224) 0 batch_normalization_174[0][0] \n__________________________________________________________________________________________________\nconv2d_172 (Conv2D) (None, 1, 1, 192) 399360 block8_2_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_175 (Conv2D) (None, 1, 1, 256) 172032 activation_174[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_172 (BatchN (None, 1, 1, 192) 576 conv2d_172[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_175 (BatchN (None, 1, 1, 256) 768 conv2d_175[0][0] \n__________________________________________________________________________________________________\nactivation_172 (Activation) (None, 1, 1, 192) 0 batch_normalization_172[0][0] \n__________________________________________________________________________________________________\nactivation_175 (Activation) (None, 1, 1, 256) 0 batch_normalization_175[0][0] \n__________________________________________________________________________________________________\nblock8_3_mixed (Concatenate) (None, 1, 1, 448) 0 activation_172[0][0] \n activation_175[0][0] \n__________________________________________________________________________________________________\nblock8_3_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_3_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_3 (Lambda) (None, 1, 1, 2080) 0 block8_2_ac[0][0] \n block8_3_conv[0][0] \n__________________________________________________________________________________________________\nblock8_3_ac (Activation) (None, 1, 1, 2080) 0 block8_3[0][0] \n__________________________________________________________________________________________________\nconv2d_177 (Conv2D) (None, 1, 1, 192) 399360 block8_3_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_177 (BatchN (None, 1, 1, 192) 576 conv2d_177[0][0] \n__________________________________________________________________________________________________\nactivation_177 (Activation) (None, 1, 1, 192) 0 batch_normalization_177[0][0] \n__________________________________________________________________________________________________\nconv2d_178 (Conv2D) (None, 1, 1, 224) 129024 activation_177[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_178 (BatchN (None, 1, 1, 224) 672 conv2d_178[0][0] \n__________________________________________________________________________________________________\nactivation_178 (Activation) (None, 1, 1, 224) 0 batch_normalization_178[0][0] \n__________________________________________________________________________________________________\nconv2d_176 (Conv2D) (None, 1, 1, 192) 399360 block8_3_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_179 (Conv2D) (None, 1, 1, 256) 172032 activation_178[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_176 (BatchN (None, 1, 1, 192) 576 conv2d_176[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_179 (BatchN (None, 1, 1, 256) 768 conv2d_179[0][0] \n__________________________________________________________________________________________________\nactivation_176 (Activation) (None, 1, 1, 192) 0 batch_normalization_176[0][0] \n__________________________________________________________________________________________________\nactivation_179 (Activation) (None, 1, 1, 256) 0 batch_normalization_179[0][0] \n__________________________________________________________________________________________________\nblock8_4_mixed (Concatenate) (None, 1, 1, 448) 0 activation_176[0][0] \n activation_179[0][0] \n__________________________________________________________________________________________________\nblock8_4_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_4_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_4 (Lambda) (None, 1, 1, 2080) 0 block8_3_ac[0][0] \n block8_4_conv[0][0] \n__________________________________________________________________________________________________\nblock8_4_ac (Activation) (None, 1, 1, 2080) 0 block8_4[0][0] \n__________________________________________________________________________________________________\nconv2d_181 (Conv2D) (None, 1, 1, 192) 399360 block8_4_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_181 (BatchN (None, 1, 1, 192) 576 conv2d_181[0][0] \n__________________________________________________________________________________________________\nactivation_181 (Activation) (None, 1, 1, 192) 0 batch_normalization_181[0][0] \n__________________________________________________________________________________________________\nconv2d_182 (Conv2D) (None, 1, 1, 224) 129024 activation_181[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_182 (BatchN (None, 1, 1, 224) 672 conv2d_182[0][0] \n__________________________________________________________________________________________________\nactivation_182 (Activation) (None, 1, 1, 224) 0 batch_normalization_182[0][0] \n__________________________________________________________________________________________________\nconv2d_180 (Conv2D) (None, 1, 1, 192) 399360 block8_4_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_183 (Conv2D) (None, 1, 1, 256) 172032 activation_182[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_180 (BatchN (None, 1, 1, 192) 576 conv2d_180[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_183 (BatchN (None, 1, 1, 256) 768 conv2d_183[0][0] \n__________________________________________________________________________________________________\nactivation_180 (Activation) (None, 1, 1, 192) 0 batch_normalization_180[0][0] \n__________________________________________________________________________________________________\nactivation_183 (Activation) (None, 1, 1, 256) 0 batch_normalization_183[0][0] \n__________________________________________________________________________________________________\nblock8_5_mixed (Concatenate) (None, 1, 1, 448) 0 activation_180[0][0] \n activation_183[0][0] \n__________________________________________________________________________________________________\nblock8_5_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_5_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_5 (Lambda) (None, 1, 1, 2080) 0 block8_4_ac[0][0] \n block8_5_conv[0][0] \n__________________________________________________________________________________________________\nblock8_5_ac (Activation) (None, 1, 1, 2080) 0 block8_5[0][0] \n__________________________________________________________________________________________________\nconv2d_185 (Conv2D) (None, 1, 1, 192) 399360 block8_5_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_185 (BatchN (None, 1, 1, 192) 576 conv2d_185[0][0] \n__________________________________________________________________________________________________\nactivation_185 (Activation) (None, 1, 1, 192) 0 batch_normalization_185[0][0] \n__________________________________________________________________________________________________\nconv2d_186 (Conv2D) (None, 1, 1, 224) 129024 activation_185[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_186 (BatchN (None, 1, 1, 224) 672 conv2d_186[0][0] \n__________________________________________________________________________________________________\nactivation_186 (Activation) (None, 1, 1, 224) 0 batch_normalization_186[0][0] \n__________________________________________________________________________________________________\nconv2d_184 (Conv2D) (None, 1, 1, 192) 399360 block8_5_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_187 (Conv2D) (None, 1, 1, 256) 172032 activation_186[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_184 (BatchN (None, 1, 1, 192) 576 conv2d_184[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_187 (BatchN (None, 1, 1, 256) 768 conv2d_187[0][0] \n__________________________________________________________________________________________________\nactivation_184 (Activation) (None, 1, 1, 192) 0 batch_normalization_184[0][0] \n__________________________________________________________________________________________________\nactivation_187 (Activation) (None, 1, 1, 256) 0 batch_normalization_187[0][0] \n__________________________________________________________________________________________________\nblock8_6_mixed (Concatenate) (None, 1, 1, 448) 0 activation_184[0][0] \n activation_187[0][0] \n__________________________________________________________________________________________________\nblock8_6_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_6_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_6 (Lambda) (None, 1, 1, 2080) 0 block8_5_ac[0][0] \n block8_6_conv[0][0] \n__________________________________________________________________________________________________\nblock8_6_ac (Activation) (None, 1, 1, 2080) 0 block8_6[0][0] \n__________________________________________________________________________________________________\nconv2d_189 (Conv2D) (None, 1, 1, 192) 399360 block8_6_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_189 (BatchN (None, 1, 1, 192) 576 conv2d_189[0][0] \n__________________________________________________________________________________________________\nactivation_189 (Activation) (None, 1, 1, 192) 0 batch_normalization_189[0][0] \n__________________________________________________________________________________________________\nconv2d_190 (Conv2D) (None, 1, 1, 224) 129024 activation_189[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_190 (BatchN (None, 1, 1, 224) 672 conv2d_190[0][0] \n__________________________________________________________________________________________________\nactivation_190 (Activation) (None, 1, 1, 224) 0 batch_normalization_190[0][0] \n__________________________________________________________________________________________________\nconv2d_188 (Conv2D) (None, 1, 1, 192) 399360 block8_6_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_191 (Conv2D) (None, 1, 1, 256) 172032 activation_190[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_188 (BatchN (None, 1, 1, 192) 576 conv2d_188[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_191 (BatchN (None, 1, 1, 256) 768 conv2d_191[0][0] \n__________________________________________________________________________________________________\nactivation_188 (Activation) (None, 1, 1, 192) 0 batch_normalization_188[0][0] \n__________________________________________________________________________________________________\nactivation_191 (Activation) (None, 1, 1, 256) 0 batch_normalization_191[0][0] \n__________________________________________________________________________________________________\nblock8_7_mixed (Concatenate) (None, 1, 1, 448) 0 activation_188[0][0] \n activation_191[0][0] \n__________________________________________________________________________________________________\nblock8_7_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_7_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_7 (Lambda) (None, 1, 1, 2080) 0 block8_6_ac[0][0] \n block8_7_conv[0][0] \n__________________________________________________________________________________________________\nblock8_7_ac (Activation) (None, 1, 1, 2080) 0 block8_7[0][0] \n__________________________________________________________________________________________________\nconv2d_193 (Conv2D) (None, 1, 1, 192) 399360 block8_7_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_193 (BatchN (None, 1, 1, 192) 576 conv2d_193[0][0] \n__________________________________________________________________________________________________\nactivation_193 (Activation) (None, 1, 1, 192) 0 batch_normalization_193[0][0] \n__________________________________________________________________________________________________\nconv2d_194 (Conv2D) (None, 1, 1, 224) 129024 activation_193[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_194 (BatchN (None, 1, 1, 224) 672 conv2d_194[0][0] \n__________________________________________________________________________________________________\nactivation_194 (Activation) (None, 1, 1, 224) 0 batch_normalization_194[0][0] \n__________________________________________________________________________________________________\nconv2d_192 (Conv2D) (None, 1, 1, 192) 399360 block8_7_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_195 (Conv2D) (None, 1, 1, 256) 172032 activation_194[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_192 (BatchN (None, 1, 1, 192) 576 conv2d_192[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_195 (BatchN (None, 1, 1, 256) 768 conv2d_195[0][0] \n__________________________________________________________________________________________________\nactivation_192 (Activation) (None, 1, 1, 192) 0 batch_normalization_192[0][0] \n__________________________________________________________________________________________________\nactivation_195 (Activation) (None, 1, 1, 256) 0 batch_normalization_195[0][0] \n__________________________________________________________________________________________________\nblock8_8_mixed (Concatenate) (None, 1, 1, 448) 0 activation_192[0][0] \n activation_195[0][0] \n__________________________________________________________________________________________________\nblock8_8_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_8_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_8 (Lambda) (None, 1, 1, 2080) 0 block8_7_ac[0][0] \n block8_8_conv[0][0] \n__________________________________________________________________________________________________\nblock8_8_ac (Activation) (None, 1, 1, 2080) 0 block8_8[0][0] \n__________________________________________________________________________________________________\nconv2d_197 (Conv2D) (None, 1, 1, 192) 399360 block8_8_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_197 (BatchN (None, 1, 1, 192) 576 conv2d_197[0][0] \n__________________________________________________________________________________________________\nactivation_197 (Activation) (None, 1, 1, 192) 0 batch_normalization_197[0][0] \n__________________________________________________________________________________________________\nconv2d_198 (Conv2D) (None, 1, 1, 224) 129024 activation_197[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_198 (BatchN (None, 1, 1, 224) 672 conv2d_198[0][0] \n__________________________________________________________________________________________________\nactivation_198 (Activation) (None, 1, 1, 224) 0 batch_normalization_198[0][0] \n__________________________________________________________________________________________________\nconv2d_196 (Conv2D) (None, 1, 1, 192) 399360 block8_8_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_199 (Conv2D) (None, 1, 1, 256) 172032 activation_198[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_196 (BatchN (None, 1, 1, 192) 576 conv2d_196[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_199 (BatchN (None, 1, 1, 256) 768 conv2d_199[0][0] \n__________________________________________________________________________________________________\nactivation_196 (Activation) (None, 1, 1, 192) 0 batch_normalization_196[0][0] \n__________________________________________________________________________________________________\nactivation_199 (Activation) (None, 1, 1, 256) 0 batch_normalization_199[0][0] \n__________________________________________________________________________________________________\nblock8_9_mixed (Concatenate) (None, 1, 1, 448) 0 activation_196[0][0] \n activation_199[0][0] \n__________________________________________________________________________________________________\nblock8_9_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_9_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_9 (Lambda) (None, 1, 1, 2080) 0 block8_8_ac[0][0] \n block8_9_conv[0][0] \n__________________________________________________________________________________________________\nblock8_9_ac (Activation) (None, 1, 1, 2080) 0 block8_9[0][0] \n__________________________________________________________________________________________________\nconv2d_201 (Conv2D) (None, 1, 1, 192) 399360 block8_9_ac[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_201 (BatchN (None, 1, 1, 192) 576 conv2d_201[0][0] \n__________________________________________________________________________________________________\nactivation_201 (Activation) (None, 1, 1, 192) 0 batch_normalization_201[0][0] \n__________________________________________________________________________________________________\nconv2d_202 (Conv2D) (None, 1, 1, 224) 129024 activation_201[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_202 (BatchN (None, 1, 1, 224) 672 conv2d_202[0][0] \n__________________________________________________________________________________________________\nactivation_202 (Activation) (None, 1, 1, 224) 0 batch_normalization_202[0][0] \n__________________________________________________________________________________________________\nconv2d_200 (Conv2D) (None, 1, 1, 192) 399360 block8_9_ac[0][0] \n__________________________________________________________________________________________________\nconv2d_203 (Conv2D) (None, 1, 1, 256) 172032 activation_202[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_200 (BatchN (None, 1, 1, 192) 576 conv2d_200[0][0] \n__________________________________________________________________________________________________\nbatch_normalization_203 (BatchN (None, 1, 1, 256) 768 conv2d_203[0][0] \n__________________________________________________________________________________________________\nactivation_200 (Activation) (None, 1, 1, 192) 0 batch_normalization_200[0][0] \n__________________________________________________________________________________________________\nactivation_203 (Activation) (None, 1, 1, 256) 0 batch_normalization_203[0][0] \n__________________________________________________________________________________________________\nblock8_10_mixed (Concatenate) (None, 1, 1, 448) 0 activation_200[0][0] \n activation_203[0][0] \n__________________________________________________________________________________________________\nblock8_10_conv (Conv2D) (None, 1, 1, 2080) 933920 block8_10_mixed[0][0] \n__________________________________________________________________________________________________\nblock8_10 (Lambda) (None, 1, 1, 2080) 0 block8_9_ac[0][0] \n block8_10_conv[0][0] \n__________________________________________________________________________________________________\nconv_7b (Conv2D) (None, 1, 1, 1536) 3194880 block8_10[0][0] \n__________________________________________________________________________________________________\nconv_7b_bn (BatchNormalization) (None, 1, 1, 1536) 4608 conv_7b[0][0] \n__________________________________________________________________________________________________\nconv_7b_ac (Activation) (None, 1, 1, 1536) 0 conv_7b_bn[0][0] \n__________________________________________________________________________________________________\nflatten_1 (Flatten) (None, 1536) 0 conv_7b_ac[0][0] \n__________________________________________________________________________________________________\ndense_1 (Dense) (None, 1103) 1695311 flatten_1[0][0] \n==================================================================================================\nTotal params: 56,032,047\nTrainable params: 55,971,503\nNon-trainable params: 60,544\n__________________________________________________________________________________________________\n","name":"stdout"},{"output_type":"stream","text":"WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\nInstructions for updating:\nUse tf.cast instead.\nEpoch 1/15\n682/682 [==============================] - 1027s 2s/step - loss: 14.1845 - f2_score: 0.0033 - val_loss: 21.6260 - val_f2_score: 0.0036\n\nEpoch 00001: val_loss improved from inf to 21.62599, saving model to weights_test.hdf5\nEpoch 2/15\n682/682 [==============================] - 958s 1s/step - loss: 13.3762 - f2_score: 0.0037 - val_loss: 18.5060 - val_f2_score: 0.0045\n\nEpoch 00002: val_loss improved from 21.62599 to 18.50598, saving model to weights_test.hdf5\nEpoch 3/15\n682/682 [==============================] - 933s 1s/step - loss: 12.8659 - f2_score: 0.0049 - val_loss: 19.5956 - val_f2_score: 0.0034\n\nEpoch 00003: val_loss did not improve from 18.50598\nEpoch 4/15\n682/682 [==============================] - 918s 1s/step - loss: 12.3989 - f2_score: 0.0047 - val_loss: 12.4756 - val_f2_score: 0.0049\n\nEpoch 00004: val_loss improved from 18.50598 to 12.47558, saving model to weights_test.hdf5\nEpoch 5/15\n682/682 [==============================] - 920s 1s/step - loss: 11.3803 - f2_score: 0.0093 - val_loss: 11.7051 - val_f2_score: 0.0119\n\nEpoch 00005: val_loss improved from 12.47558 to 11.70511, saving model to weights_test.hdf5\nEpoch 6/15\n338/682 [=============>................] - ETA: 6:29 - loss: 10.5415 - f2_score: 0.0164","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"model_name = 'InceptionResNetV2'\n\nfig, ax =plt.subplots(1,2, figsize=(15, 8))\n \nax[0].plot(history.history['f2_score'])\nax[0].plot(history.history['val_f2_score'])\nax[0].set_title(model_name + ' Model F2 score')\nax[0].legend([model_name + ' Training',model_name + ' Validation'])\n#ax[0].ylabel('F2 score')\n#ax[0].xlabel('epoch')\n \nax[1].plot(history.history['loss'])\nax[1].plot(history.history['val_loss'])\nax[1].set_title(model_name + ' Model loss')\nax[1].legend([model_name + ' Training',model_name + ' Validation'])\n#ax[1].ylabel('Loss')\n#ax[1].xlabel('epoch')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_generator.reset()\npred=InceptionResNetV2_model.predict_generator(test_generator,\nsteps=STEP_SIZE_TEST+1,\nverbose=1)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"pred is of shape 7443 x 1103: 7443 test examples, and 1103 different labels.\n\nNext step: apply threshold, if over a certain threshold, then consider it as a label. Otherwise, not."},{"metadata":{"trusted":true},"cell_type":"code","source":"max_of_each_img=[]\nfor i in range(len(pred)):\n max_of_each_img.append(pred[i].max())\nsns.distplot(max_of_each_img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"threshold_count = 0.03\n\nnb_label_over_thresh_of_each_img=[]\nfor i in range(len(pred)):\n nb_labels = 0\n for prediction in range(len(pred[i])):\n if pred[i][prediction]>=threshold_count:\n nb_labels+=1\n nb_label_over_thresh_of_each_img.append(nb_labels)\nsns.distplot(nb_label_over_thresh_of_each_img)\nprint('threshhold used is: ', threshold_count)\nprint('There are {} images without labels'.format(nb_label_over_thresh_of_each_img.count(nb_label_over_thresh_of_each_img==0)))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import operator\n\nthreshold = 0.03\n\nlabel_for_test_img = []\nfor i in range(len(pred)):\n #list to store the label number over the threshold\n label_number={}\n for prediction in range(len(pred[i])):\n if pred[i][prediction]>=threshold:\n label_number[prediction] = prediction\n sorted_label_number = sorted(label_number.items(), key=operator.itemgetter(1), reverse=True)\n label_for_test_img.append([i[0] for i in sorted_label_number[:5]])\n# print('for image {} labels are: {}'.format(i, label_number))\n\nlabel_for_test_img[:10]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"valid_generator.reset()\npred_valid=InceptionResNetV2_model.predict_generator(valid_generator,\n steps=STEP_SIZE_VALID+1,\n verbose=1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_for_valid_img = []\nfor i in range(len(pred_valid)):\n #list to store the label number over the threshold\n label_number={}\n for prediction in range(len(pred_valid[i])):\n if pred_valid[i][prediction]>=threshold:\n label_number[prediction] = prediction\n sorted_label_number = sorted(label_number.items(), key=operator.itemgetter(1), reverse=True)\n label_for_valid_img.append([i[0] for i in sorted_label_number[:5]])\n# print('for image {} labels are: {}'.format(i, label_number))\n\nlabel_for_valid_img[:10]","execution_count":null,"outputs":[]},{"metadata":{"_kg_hide-output":false,"trusted":true},"cell_type":"code","source":"test_labels[\"id\"]=test_labels[\"id\"].apply(remove_ext)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_list = pd.Series([list(x) for x in label_for_test_img])\ntest_str = test_list.apply(lambda x: [str(i) for n,i in enumerate(x)])\ntest_str = test_str.apply(lambda l: ' '.join(l))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"results=pd.DataFrame({\"id\":test_labels[\"id\"],\n \"attribute_ids\":test_str})\nresults.to_csv(\"submission.csv\",index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"results.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}