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ebay-ml-lister/Shoe Classifier_InceptionResNetV2.ipynb

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commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
2022-01-03 20:32:42 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "572dc7fb",
"metadata": {},
"outputs": [],
"source": [
"from matplotlib import pyplot as plt\n",
"from matplotlib.image import imread\n",
"import pandas as pd\n",
"from collections import Counter\n",
"import json\n",
"import os\n",
"import re\n",
"import tempfile\n",
"import numpy as np\n",
"from os.path import exists\n",
"from imblearn.under_sampling import RandomUnderSampler\n",
"from PIL import ImageFile\n",
"import sklearn as sk\n",
"from sklearn.model_selection import train_test_split, StratifiedShuffleSplit\n",
"import tensorflow as tf\n",
"import tensorflow.keras\n",
"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
"from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense, Dropout, Flatten, Activation\n",
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.optimizers import Adam\n",
"# custom modules\n",
"import image_faults\n",
"\n",
"ImageFile.LOAD_TRUNCATED_IMAGES = True"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
included option for variable range of images per listing
2022-01-15 02:53:59 +00:00
"def dict_pics_jup():\n",
" '''\n",
" {source:target} dict used to replace source urls with image location as input\n",
" '''\n",
" target_dir = os.getcwd() + os.sep + \"training_images\"\n",
" with open('temp_pics_source_list.txt') as f:\n",
" temp_pics_source_list = json.load(f)\n",
" \n",
" dict_pics = {}\n",
" for k in temp_pics_source_list:\n",
" patt_1 = re.search(r'[^/]+(?=/\\$_|.(\\.jpg|\\.jpeg|\\.png))', k, re.IGNORECASE)\n",
" patt_2 = re.search(r'(\\.jpg|\\.jpeg|\\.png)', k, re.IGNORECASE)\n",
" if patt_1 and patt_2 is not None:\n",
" tag = patt_1.group() + patt_2.group().lower()\n",
" file_name = target_dir + os.sep + tag\n",
" dict_pics.update({k:file_name})\n",
" print(\"{source:target} dictionary created @ \" + target_dir)\n",
" return dict_pics"
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
2022-01-03 20:32:42 +00:00
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a5c72863",
"metadata": {},
"outputs": [],
"source": [
"# image_faults.faulty_images() # removes faulty images\n",
"df = pd.read_csv('expanded_class.csv', index_col=[0], low_memory=False)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "1057a442",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{source:target} dictionary created @ /tf/training_images\n"
]
}
],
"source": [
included option for variable range of images per listing
2022-01-15 02:53:59 +00:00
"dict_pics = dict_pics_jup()\n",
"\n",
"with open('women_cat_list.txt') as f:\n",
" women_cats = json.load(f)\n",
"with open('men_cat_list.txt') as f:\n",
" men_cats = json.load(f)\n",
" \n",
"with open('temp_pics_source_list.txt') as f:\n",
" tempics = json.load(f)\n",
"# list of image urls that did not get named properly which will be removed from the dataframe\n",
"drop_row_vals = []\n",
"for pic in tempics:\n",
" try:\n",
" dict_pics[pic]\n",
" except KeyError:\n",
" drop_row_vals.append(pic)\n",
"\n",
"df['PrimaryCategoryID'] = df['PrimaryCategoryID'].astype(str) # pandas thinks ids are ints\n",
"ddf = df[df.PictureURL.isin(drop_row_vals)==False] # remove improperly named image files\n",
"df = ddf[ddf.PrimaryCategoryID.isin(men_cats)==False] # removes rows of womens categories\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
2022-01-03 20:32:42 +00:00
"\n",
"blah = pd.Series(df.PictureURL)\n",
"df = df.drop(labels=['PictureURL'], axis=1)\n",
included option for variable range of images per listing
2022-01-15 02:53:59 +00:00
"\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
2022-01-03 20:32:42 +00:00
"blah = blah.apply(lambda x: dict_pics[x])\n",
"df = pd.concat([blah, df],axis=1)\n",
included option for variable range of images per listing
2022-01-15 02:53:59 +00:00
"df = df.groupby('PrimaryCategoryID').filter(lambda x: len(x)>25) # removes cat outliers"
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
2022-01-03 20:32:42 +00:00
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "7a6146e6",
"metadata": {},
"outputs": [],
"source": [
"df=df.sample(frac=1)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"undersample = RandomUnderSampler(sampling_strategy='auto')\n",
"train, y_under = undersample.fit_resample(df, df['PrimaryCategoryID'])\n",
"#print(Counter(train['PrimaryCategoryID']))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "506aa5cf",
"metadata": {},
"outputs": [],
"source": [
"train, test = train_test_split(train, test_size=0.2, random_state=42)\n",
"# stratify=train['PrimaryCategoryID']\n",
"# train['PrimaryCategoryID'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "4d72eb90",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
included option for variable range of images per listing
2022-01-15 02:53:59 +00:00
"Found 4444 validated image filenames belonging to 7 classes.\n",
"Found 1111 validated image filenames belonging to 7 classes.\n"
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
2022-01-03 20:32:42 +00:00
]
}
],
"source": [
"datagen = ImageDataGenerator(rescale=1./255., \n",
" validation_split=.2,\n",
" #samplewise_std_normalization=True,\n",
" #horizontal_flip= True,\n",
" #vertical_flip= True,\n",
" #width_shift_range= 0.2,\n",
" #height_shift_range= 0.2,\n",
" #rotation_range= 90,\n",
" preprocessing_function=tf.keras.applications.inception_resnet_v2.preprocess_input)\n",
"train_generator=datagen.flow_from_dataframe(\n",
" dataframe=train[:len(train)],\n",
" directory='./training_images',\n",
" x_col='PictureURL',\n",
" y_col='PrimaryCategoryID',\n",
" batch_size=32,\n",
" seed=42,\n",
" shuffle=True,\n",
" target_size=(299,299),\n",
" subset='training'\n",
" )\n",
"validation_generator=datagen.flow_from_dataframe(\n",
" dataframe=train[:len(train)], # is using train right?\n",
" directory='./training_images',\n",
" x_col='PictureURL',\n",
" y_col='PrimaryCategoryID',\n",
" batch_size=32,\n",
" seed=42,\n",
" shuffle=True,\n",
" target_size=(299,299),\n",
" subset='validation'\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "7b70f37f",
"metadata": {},
"outputs": [],
"source": [
"imgs, labels = next(train_generator)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "1ed54bf5",
"metadata": {},
"outputs": [],
"source": [
"def plotImages(images_arr):\n",
" fig, axes = plt.subplots(1, 10, figsize=(20,20))\n",
" axes = axes.flatten()\n",
" for img, ax in zip( images_arr, axes):\n",
" ax.imshow(img)\n",
" ax.axis('off')\n",
" plt.tight_layout()\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "85934565",
"metadata": {},
"outputs": [],
"source": [
"#plotImages(imgs)\n",
"#print(labels)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6322bcad",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
}
],
"source": [
"physical_devices = tf.config.list_physical_devices('GPU')\n",
"print(len(physical_devices))\n",
"tf.config.experimental.set_memory_growth(physical_devices[0], True)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "07fd25c6",
"metadata": {},
"outputs": [],
"source": [
"# see https://www.kaggle.com/dmitrypukhov/cnn-with-imagedatagenerator-flow-from-dataframe for train/test/val split \n",
"# example\n",
"\n",
"# may need to either create a test dataset from the original dataset or just download a new one"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "b31af79e",
"metadata": {},
"outputs": [],
"source": [
"base_model = tf.keras.applications.inception_resnet_v2.InceptionResNetV2(include_top=False, weights='imagenet', pooling='avg')\n",
"#base_model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "fe06f2bf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"model\"\n",
"__________________________________________________________________________________________________\n",
" Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
" input_1 (InputLayer) [(None, None, None, 0 [] \n",
" 3)] \n",
" \n",
" conv2d (Conv2D) (None, None, None, 864 ['input_1[0][0]'] \n",
" 32) \n",
" \n",
" batch_normalization (BatchNorm (None, None, None, 96 ['conv2d[0][0]'] \n",
" alization) 32) \n",
" \n",
" activation (Activation) (None, None, None, 0 ['batch_normalization[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_1 (Conv2D) (None, None, None, 9216 ['activation[0][0]'] \n",
" 32) \n",
" \n",
" batch_normalization_1 (BatchNo (None, None, None, 96 ['conv2d_1[0][0]'] \n",
" rmalization) 32) \n",
" \n",
" activation_1 (Activation) (None, None, None, 0 ['batch_normalization_1[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_2 (Conv2D) (None, None, None, 18432 ['activation_1[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_2 (BatchNo (None, None, None, 192 ['conv2d_2[0][0]'] \n",
" rmalization) 64) \n",
" \n",
" activation_2 (Activation) (None, None, None, 0 ['batch_normalization_2[0][0]'] \n",
" 64) \n",
" \n",
" max_pooling2d (MaxPooling2D) (None, None, None, 0 ['activation_2[0][0]'] \n",
" 64) \n",
" \n",
" conv2d_3 (Conv2D) (None, None, None, 5120 ['max_pooling2d[0][0]'] \n",
" 80) \n",
" \n",
" batch_normalization_3 (BatchNo (None, None, None, 240 ['conv2d_3[0][0]'] \n",
" rmalization) 80) \n",
" \n",
" activation_3 (Activation) (None, None, None, 0 ['batch_normalization_3[0][0]'] \n",
" 80) \n",
" \n",
" conv2d_4 (Conv2D) (None, None, None, 138240 ['activation_3[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_4 (BatchNo (None, None, None, 576 ['conv2d_4[0][0]'] \n",
" rmalization) 192) \n",
" \n",
" activation_4 (Activation) (None, None, None, 0 ['batch_normalization_4[0][0]'] \n",
" 192) \n",
" \n",
" max_pooling2d_1 (MaxPooling2D) (None, None, None, 0 ['activation_4[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_8 (Conv2D) (None, None, None, 12288 ['max_pooling2d_1[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_8 (BatchNo (None, None, None, 192 ['conv2d_8[0][0]'] \n",
" rmalization) 64) \n",
" \n",
" activation_8 (Activation) (None, None, None, 0 ['batch_normalization_8[0][0]'] \n",
" 64) \n",
" \n",
" conv2d_6 (Conv2D) (None, None, None, 9216 ['max_pooling2d_1[0][0]'] \n",
" 48) \n",
" \n",
" conv2d_9 (Conv2D) (None, None, None, 55296 ['activation_8[0][0]'] \n",
" 96) \n",
" \n",
" batch_normalization_6 (BatchNo (None, None, None, 144 ['conv2d_6[0][0]'] \n",
" rmalization) 48) \n",
" \n",
" batch_normalization_9 (BatchNo (None, None, None, 288 ['conv2d_9[0][0]'] \n",
" rmalization) 96) \n",
" \n",
" activation_6 (Activation) (None, None, None, 0 ['batch_normalization_6[0][0]'] \n",
" 48) \n",
" \n",
" activation_9 (Activation) (None, None, None, 0 ['batch_normalization_9[0][0]'] \n",
" 96) \n",
" \n",
" average_pooling2d (AveragePool (None, None, None, 0 ['max_pooling2d_1[0][0]'] \n",
" ing2D) 192) \n",
" \n",
" conv2d_5 (Conv2D) (None, None, None, 18432 ['max_pooling2d_1[0][0]'] \n",
" 96) \n",
" \n",
" conv2d_7 (Conv2D) (None, None, None, 76800 ['activation_6[0][0]'] \n",
" 64) \n",
" \n",
" conv2d_10 (Conv2D) (None, None, None, 82944 ['activation_9[0][0]'] \n",
" 96) \n",
" \n",
" conv2d_11 (Conv2D) (None, None, None, 12288 ['average_pooling2d[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_5 (BatchNo (None, None, None, 288 ['conv2d_5[0][0]'] \n",
" rmalization) 96) \n",
" \n",
" batch_normalization_7 (BatchNo (None, None, None, 192 ['conv2d_7[0][0]'] \n",
" rmalization) 64) \n",
" \n",
" batch_normalization_10 (BatchN (None, None, None, 288 ['conv2d_10[0][0]'] \n",
" ormalization) 96) \n",
" \n",
" batch_normalization_11 (BatchN (None, None, None, 192 ['conv2d_11[0][0]'] \n",
" ormalization) 64) \n",
" \n",
" activation_5 (Activation) (None, None, None, 0 ['batch_normalization_5[0][0]'] \n",
" 96) \n",
" \n",
" activation_7 (Activation) (None, None, None, 0 ['batch_normalization_7[0][0]'] \n",
" 64) \n",
" \n",
" activation_10 (Activation) (None, None, None, 0 ['batch_normalization_10[0][0]'] \n",
" 96) \n",
" \n",
" activation_11 (Activation) (None, None, None, 0 ['batch_normalization_11[0][0]'] \n",
" 64) \n",
" \n",
" mixed_5b (Concatenate) (None, None, None, 0 ['activation_5[0][0]', \n",
" 320) 'activation_7[0][0]', \n",
" 'activation_10[0][0]', \n",
" 'activation_11[0][0]'] \n",
" \n",
" conv2d_15 (Conv2D) (None, None, None, 10240 ['mixed_5b[0][0]'] \n",
" 32) \n",
" \n",
" batch_normalization_15 (BatchN (None, None, None, 96 ['conv2d_15[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" activation_15 (Activation) (None, None, None, 0 ['batch_normalization_15[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_13 (Conv2D) (None, None, None, 10240 ['mixed_5b[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_16 (Conv2D) (None, None, None, 13824 ['activation_15[0][0]'] \n",
" 48) \n",
" \n",
" batch_normalization_13 (BatchN (None, None, None, 96 ['conv2d_13[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_16 (BatchN (None, None, None, 144 ['conv2d_16[0][0]'] \n",
" ormalization) 48) \n",
" \n",
" activation_13 (Activation) (None, None, None, 0 ['batch_normalization_13[0][0]'] \n",
" 32) \n",
" \n",
" activation_16 (Activation) (None, None, None, 0 ['batch_normalization_16[0][0]'] \n",
" 48) \n",
" \n",
" conv2d_12 (Conv2D) (None, None, None, 10240 ['mixed_5b[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_14 (Conv2D) (None, None, None, 9216 ['activation_13[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_17 (Conv2D) (None, None, None, 27648 ['activation_16[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_12 (BatchN (None, None, None, 96 ['conv2d_12[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_14 (BatchN (None, None, None, 96 ['conv2d_14[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_17 (BatchN (None, None, None, 192 ['conv2d_17[0][0]'] \n",
" ormalization) 64) \n",
" \n",
" activation_12 (Activation) (None, None, None, 0 ['batch_normalization_12[0][0]'] \n",
" 32) \n",
" \n",
" activation_14 (Activation) (None, None, None, 0 ['batch_normalization_14[0][0]'] \n",
" 32) \n",
" \n",
" activation_17 (Activation) (None, None, None, 0 ['batch_normalization_17[0][0]'] \n",
" 64) \n",
" \n",
" block35_1_mixed (Concatenate) (None, None, None, 0 ['activation_12[0][0]', \n",
" 128) 'activation_14[0][0]', \n",
" 'activation_17[0][0]'] \n",
" \n",
" block35_1_conv (Conv2D) (None, None, None, 41280 ['block35_1_mixed[0][0]'] \n",
" 320) \n",
" \n",
" block35_1 (Lambda) (None, None, None, 0 ['mixed_5b[0][0]', \n",
" 320) 'block35_1_conv[0][0]'] \n",
" \n",
" block35_1_ac (Activation) (None, None, None, 0 ['block35_1[0][0]'] \n",
" 320) \n",
" \n",
" conv2d_21 (Conv2D) (None, None, None, 10240 ['block35_1_ac[0][0]'] \n",
" 32) \n",
" \n",
" batch_normalization_21 (BatchN (None, None, None, 96 ['conv2d_21[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" activation_21 (Activation) (None, None, None, 0 ['batch_normalization_21[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_19 (Conv2D) (None, None, None, 10240 ['block35_1_ac[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_22 (Conv2D) (None, None, None, 13824 ['activation_21[0][0]'] \n",
" 48) \n",
" \n",
" batch_normalization_19 (BatchN (None, None, None, 96 ['conv2d_19[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_22 (BatchN (None, None, None, 144 ['conv2d_22[0][0]'] \n",
" ormalization) 48) \n",
" \n",
" activation_19 (Activation) (None, None, None, 0 ['batch_normalization_19[0][0]'] \n",
" 32) \n",
" \n",
" activation_22 (Activation) (None, None, None, 0 ['batch_normalization_22[0][0]'] \n",
" 48) \n",
" \n",
" conv2d_18 (Conv2D) (None, None, None, 10240 ['block35_1_ac[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_20 (Conv2D) (None, None, None, 9216 ['activation_19[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_23 (Conv2D) (None, None, None, 27648 ['activation_22[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_18 (BatchN (None, None, None, 96 ['conv2d_18[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_20 (BatchN (None, None, None, 96 ['conv2d_20[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_23 (BatchN (None, None, None, 192 ['conv2d_23[0][0]'] \n",
" ormalization) 64) \n",
" \n",
" activation_18 (Activation) (None, None, None, 0 ['batch_normalization_18[0][0]'] \n",
" 32) \n",
" \n",
" activation_20 (Activation) (None, None, None, 0 ['batch_normalization_20[0][0]'] \n",
" 32) \n",
" \n",
" activation_23 (Activation) (None, None, None, 0 ['batch_normalization_23[0][0]'] \n",
" 64) \n",
" \n",
" block35_2_mixed (Concatenate) (None, None, None, 0 ['activation_18[0][0]', \n",
" 128) 'activation_20[0][0]', \n",
" 'activation_23[0][0]'] \n",
" \n",
" block35_2_conv (Conv2D) (None, None, None, 41280 ['block35_2_mixed[0][0]'] \n",
" 320) \n",
" \n",
" block35_2 (Lambda) (None, None, None, 0 ['block35_1_ac[0][0]', \n",
" 320) 'block35_2_conv[0][0]'] \n",
" \n",
" block35_2_ac (Activation) (None, None, None, 0 ['block35_2[0][0]'] \n",
" 320) \n",
" \n",
" conv2d_27 (Conv2D) (None, None, None, 10240 ['block35_2_ac[0][0]'] \n",
" 32) \n",
" \n",
" batch_normalization_27 (BatchN (None, None, None, 96 ['conv2d_27[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" activation_27 (Activation) (None, None, None, 0 ['batch_normalization_27[0][0]'] \n",
" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_28 (Conv2D) (None, None, None, 13824 ['activation_27[0][0]'] \n",
" 48) \n",
" \n",
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" \n",
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" \n",
" activation_25 (Activation) (None, None, None, 0 ['batch_normalization_25[0][0]'] \n",
" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_26 (Conv2D) (None, None, None, 9216 ['activation_25[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_29 (Conv2D) (None, None, None, 27648 ['activation_28[0][0]'] \n",
" 64) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 64) \n",
" \n",
" activation_24 (Activation) (None, None, None, 0 ['batch_normalization_24[0][0]'] \n",
" 32) \n",
" \n",
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" 32) \n",
" \n",
" activation_29 (Activation) (None, None, None, 0 ['batch_normalization_29[0][0]'] \n",
" 64) \n",
" \n",
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" 128) 'activation_26[0][0]', \n",
" 'activation_29[0][0]'] \n",
" \n",
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" 320) \n",
" \n",
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" \n",
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" 320) \n",
" \n",
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" 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_34 (Conv2D) (None, None, None, 13824 ['activation_33[0][0]'] \n",
" 48) \n",
" \n",
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" \n",
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" \n",
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" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
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" 64) \n",
" \n",
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" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 64) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
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" 64) \n",
" \n",
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" 128) 'activation_32[0][0]', \n",
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" \n",
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" 320) \n",
" \n",
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" \n",
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" 320) \n",
" \n",
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" 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_40 (Conv2D) (None, None, None, 13824 ['activation_39[0][0]'] \n",
" 48) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" \n",
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" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
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" 64) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 64) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
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" 64) \n",
" \n",
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" 128) 'activation_38[0][0]', \n",
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" \n",
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" 320) \n",
" \n",
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" \n",
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" 320) \n",
" \n",
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" 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
" activation_45 (Activation) (None, None, None, 0 ['batch_normalization_45[0][0]'] \n",
" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_46 (Conv2D) (None, None, None, 13824 ['activation_45[0][0]'] \n",
" 48) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 48) \n",
" \n",
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" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
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" 64) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 64) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
" activation_47 (Activation) (None, None, None, 0 ['batch_normalization_47[0][0]'] \n",
" 64) \n",
" \n",
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" 128) 'activation_44[0][0]', \n",
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" \n",
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" 320) \n",
" \n",
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" \n",
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" 320) \n",
" \n",
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" 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
" activation_51 (Activation) (None, None, None, 0 ['batch_normalization_51[0][0]'] \n",
" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_52 (Conv2D) (None, None, None, 13824 ['activation_51[0][0]'] \n",
" 48) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 48) \n",
" \n",
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" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
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" 64) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 64) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
" activation_53 (Activation) (None, None, None, 0 ['batch_normalization_53[0][0]'] \n",
" 64) \n",
" \n",
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" 128) 'activation_50[0][0]', \n",
" 'activation_53[0][0]'] \n",
" \n",
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" 320) \n",
" \n",
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" 320) 'block35_7_conv[0][0]'] \n",
" \n",
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" 320) \n",
" \n",
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" 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
" activation_57 (Activation) (None, None, None, 0 ['batch_normalization_57[0][0]'] \n",
" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_58 (Conv2D) (None, None, None, 13824 ['activation_57[0][0]'] \n",
" 48) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 48) \n",
" \n",
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" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_56 (Conv2D) (None, None, None, 9216 ['activation_55[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_59 (Conv2D) (None, None, None, 27648 ['activation_58[0][0]'] \n",
" 64) \n",
" \n",
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" ormalization) 32) \n",
" \n",
" batch_normalization_56 (BatchN (None, None, None, 96 ['conv2d_56[0][0]'] \n",
" ormalization) 32) \n",
" \n",
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" ormalization) 64) \n",
" \n",
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" 32) \n",
" \n",
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" 32) \n",
" \n",
" activation_59 (Activation) (None, None, None, 0 ['batch_normalization_59[0][0]'] \n",
" 64) \n",
" \n",
" block35_8_mixed (Concatenate) (None, None, None, 0 ['activation_54[0][0]', \n",
" 128) 'activation_56[0][0]', \n",
" 'activation_59[0][0]'] \n",
" \n",
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" 320) \n",
" \n",
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" 320) 'block35_8_conv[0][0]'] \n",
" \n",
" block35_8_ac (Activation) (None, None, None, 0 ['block35_8[0][0]'] \n",
" 320) \n",
" \n",
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" 32) \n",
" \n",
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" ormalization) 32) \n",
" \n",
" activation_63 (Activation) (None, None, None, 0 ['batch_normalization_63[0][0]'] \n",
" 32) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_64 (Conv2D) (None, None, None, 13824 ['activation_63[0][0]'] \n",
" 48) \n",
" \n",
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" ormalization) 32) \n",
" \n",
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" ormalization) 48) \n",
" \n",
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" 32) \n",
" \n",
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" 48) \n",
" \n",
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" 32) \n",
" \n",
" conv2d_62 (Conv2D) (None, None, None, 9216 ['activation_61[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_65 (Conv2D) (None, None, None, 27648 ['activation_64[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_60 (BatchN (None, None, None, 96 ['conv2d_60[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_62 (BatchN (None, None, None, 96 ['conv2d_62[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_65 (BatchN (None, None, None, 192 ['conv2d_65[0][0]'] \n",
" ormalization) 64) \n",
" \n",
" activation_60 (Activation) (None, None, None, 0 ['batch_normalization_60[0][0]'] \n",
" 32) \n",
" \n",
" activation_62 (Activation) (None, None, None, 0 ['batch_normalization_62[0][0]'] \n",
" 32) \n",
" \n",
" activation_65 (Activation) (None, None, None, 0 ['batch_normalization_65[0][0]'] \n",
" 64) \n",
" \n",
" block35_9_mixed (Concatenate) (None, None, None, 0 ['activation_60[0][0]', \n",
" 128) 'activation_62[0][0]', \n",
" 'activation_65[0][0]'] \n",
" \n",
" block35_9_conv (Conv2D) (None, None, None, 41280 ['block35_9_mixed[0][0]'] \n",
" 320) \n",
" \n",
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" 320) 'block35_9_conv[0][0]'] \n",
" \n",
" block35_9_ac (Activation) (None, None, None, 0 ['block35_9[0][0]'] \n",
" 320) \n",
" \n",
" conv2d_69 (Conv2D) (None, None, None, 10240 ['block35_9_ac[0][0]'] \n",
" 32) \n",
" \n",
" batch_normalization_69 (BatchN (None, None, None, 96 ['conv2d_69[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" activation_69 (Activation) (None, None, None, 0 ['batch_normalization_69[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_67 (Conv2D) (None, None, None, 10240 ['block35_9_ac[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_70 (Conv2D) (None, None, None, 13824 ['activation_69[0][0]'] \n",
" 48) \n",
" \n",
" batch_normalization_67 (BatchN (None, None, None, 96 ['conv2d_67[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_70 (BatchN (None, None, None, 144 ['conv2d_70[0][0]'] \n",
" ormalization) 48) \n",
" \n",
" activation_67 (Activation) (None, None, None, 0 ['batch_normalization_67[0][0]'] \n",
" 32) \n",
" \n",
" activation_70 (Activation) (None, None, None, 0 ['batch_normalization_70[0][0]'] \n",
" 48) \n",
" \n",
" conv2d_66 (Conv2D) (None, None, None, 10240 ['block35_9_ac[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_68 (Conv2D) (None, None, None, 9216 ['activation_67[0][0]'] \n",
" 32) \n",
" \n",
" conv2d_71 (Conv2D) (None, None, None, 27648 ['activation_70[0][0]'] \n",
" 64) \n",
" \n",
" batch_normalization_66 (BatchN (None, None, None, 96 ['conv2d_66[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_68 (BatchN (None, None, None, 96 ['conv2d_68[0][0]'] \n",
" ormalization) 32) \n",
" \n",
" batch_normalization_71 (BatchN (None, None, None, 192 ['conv2d_71[0][0]'] \n",
" ormalization) 64) \n",
" \n",
" activation_66 (Activation) (None, None, None, 0 ['batch_normalization_66[0][0]'] \n",
" 32) \n",
" \n",
" activation_68 (Activation) (None, None, None, 0 ['batch_normalization_68[0][0]'] \n",
" 32) \n",
" \n",
" activation_71 (Activation) (None, None, None, 0 ['batch_normalization_71[0][0]'] \n",
" 64) \n",
" \n",
" block35_10_mixed (Concatenate) (None, None, None, 0 ['activation_66[0][0]', \n",
" 128) 'activation_68[0][0]', \n",
" 'activation_71[0][0]'] \n",
" \n",
" block35_10_conv (Conv2D) (None, None, None, 41280 ['block35_10_mixed[0][0]'] \n",
" 320) \n",
" \n",
" block35_10 (Lambda) (None, None, None, 0 ['block35_9_ac[0][0]', \n",
" 320) 'block35_10_conv[0][0]'] \n",
" \n",
" block35_10_ac (Activation) (None, None, None, 0 ['block35_10[0][0]'] \n",
" 320) \n",
" \n",
" conv2d_73 (Conv2D) (None, None, None, 81920 ['block35_10_ac[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_73 (BatchN (None, None, None, 768 ['conv2d_73[0][0]'] \n",
" ormalization) 256) \n",
" \n",
" activation_73 (Activation) (None, None, None, 0 ['batch_normalization_73[0][0]'] \n",
" 256) \n",
" \n",
" conv2d_74 (Conv2D) (None, None, None, 589824 ['activation_73[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_74 (BatchN (None, None, None, 768 ['conv2d_74[0][0]'] \n",
" ormalization) 256) \n",
" \n",
" activation_74 (Activation) (None, None, None, 0 ['batch_normalization_74[0][0]'] \n",
" 256) \n",
" \n",
" conv2d_72 (Conv2D) (None, None, None, 1105920 ['block35_10_ac[0][0]'] \n",
" 384) \n",
" \n",
" conv2d_75 (Conv2D) (None, None, None, 884736 ['activation_74[0][0]'] \n",
" 384) \n",
" \n",
" batch_normalization_72 (BatchN (None, None, None, 1152 ['conv2d_72[0][0]'] \n",
" ormalization) 384) \n",
" \n",
" batch_normalization_75 (BatchN (None, None, None, 1152 ['conv2d_75[0][0]'] \n",
" ormalization) 384) \n",
" \n",
" activation_72 (Activation) (None, None, None, 0 ['batch_normalization_72[0][0]'] \n",
" 384) \n",
" \n",
" activation_75 (Activation) (None, None, None, 0 ['batch_normalization_75[0][0]'] \n",
" 384) \n",
" \n",
" max_pooling2d_2 (MaxPooling2D) (None, None, None, 0 ['block35_10_ac[0][0]'] \n",
" 320) \n",
" \n",
" mixed_6a (Concatenate) (None, None, None, 0 ['activation_72[0][0]', \n",
" 1088) 'activation_75[0][0]', \n",
" 'max_pooling2d_2[0][0]'] \n",
" \n",
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" 128) \n",
" \n",
" batch_normalization_77 (BatchN (None, None, None, 384 ['conv2d_77[0][0]'] \n",
" ormalization) 128) \n",
" \n",
" activation_77 (Activation) (None, None, None, 0 ['batch_normalization_77[0][0]'] \n",
" 128) \n",
" \n",
" conv2d_78 (Conv2D) (None, None, None, 143360 ['activation_77[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_78 (BatchN (None, None, None, 480 ['conv2d_78[0][0]'] \n",
" ormalization) 160) \n",
" \n",
" activation_78 (Activation) (None, None, None, 0 ['batch_normalization_78[0][0]'] \n",
" 160) \n",
" \n",
" conv2d_76 (Conv2D) (None, None, None, 208896 ['mixed_6a[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_79 (Conv2D) (None, None, None, 215040 ['activation_78[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_76 (BatchN (None, None, None, 576 ['conv2d_76[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" batch_normalization_79 (BatchN (None, None, None, 576 ['conv2d_79[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" activation_76 (Activation) (None, None, None, 0 ['batch_normalization_76[0][0]'] \n",
" 192) \n",
" \n",
" activation_79 (Activation) (None, None, None, 0 ['batch_normalization_79[0][0]'] \n",
" 192) \n",
" \n",
" block17_1_mixed (Concatenate) (None, None, None, 0 ['activation_76[0][0]', \n",
" 384) 'activation_79[0][0]'] \n",
" \n",
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" 1088) \n",
" \n",
" block17_1 (Lambda) (None, None, None, 0 ['mixed_6a[0][0]', \n",
" 1088) 'block17_1_conv[0][0]'] \n",
" \n",
" block17_1_ac (Activation) (None, None, None, 0 ['block17_1[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_81 (Conv2D) (None, None, None, 139264 ['block17_1_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_81 (BatchN (None, None, None, 384 ['conv2d_81[0][0]'] \n",
" ormalization) 128) \n",
" \n",
" activation_81 (Activation) (None, None, None, 0 ['batch_normalization_81[0][0]'] \n",
" 128) \n",
" \n",
" conv2d_82 (Conv2D) (None, None, None, 143360 ['activation_81[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_82 (BatchN (None, None, None, 480 ['conv2d_82[0][0]'] \n",
" ormalization) 160) \n",
" \n",
" activation_82 (Activation) (None, None, None, 0 ['batch_normalization_82[0][0]'] \n",
" 160) \n",
" \n",
" conv2d_80 (Conv2D) (None, None, None, 208896 ['block17_1_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_83 (Conv2D) (None, None, None, 215040 ['activation_82[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_80 (BatchN (None, None, None, 576 ['conv2d_80[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" batch_normalization_83 (BatchN (None, None, None, 576 ['conv2d_83[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" activation_80 (Activation) (None, None, None, 0 ['batch_normalization_80[0][0]'] \n",
" 192) \n",
" \n",
" activation_83 (Activation) (None, None, None, 0 ['batch_normalization_83[0][0]'] \n",
" 192) \n",
" \n",
" block17_2_mixed (Concatenate) (None, None, None, 0 ['activation_80[0][0]', \n",
" 384) 'activation_83[0][0]'] \n",
" \n",
" block17_2_conv (Conv2D) (None, None, None, 418880 ['block17_2_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_2 (Lambda) (None, None, None, 0 ['block17_1_ac[0][0]', \n",
" 1088) 'block17_2_conv[0][0]'] \n",
" \n",
" block17_2_ac (Activation) (None, None, None, 0 ['block17_2[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_85 (Conv2D) (None, None, None, 139264 ['block17_2_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_85 (BatchN (None, None, None, 384 ['conv2d_85[0][0]'] \n",
" ormalization) 128) \n",
" \n",
" activation_85 (Activation) (None, None, None, 0 ['batch_normalization_85[0][0]'] \n",
" 128) \n",
" \n",
" conv2d_86 (Conv2D) (None, None, None, 143360 ['activation_85[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_86 (BatchN (None, None, None, 480 ['conv2d_86[0][0]'] \n",
" ormalization) 160) \n",
" \n",
" activation_86 (Activation) (None, None, None, 0 ['batch_normalization_86[0][0]'] \n",
" 160) \n",
" \n",
" conv2d_84 (Conv2D) (None, None, None, 208896 ['block17_2_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_87 (Conv2D) (None, None, None, 215040 ['activation_86[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_84 (BatchN (None, None, None, 576 ['conv2d_84[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" batch_normalization_87 (BatchN (None, None, None, 576 ['conv2d_87[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" activation_84 (Activation) (None, None, None, 0 ['batch_normalization_84[0][0]'] \n",
" 192) \n",
" \n",
" activation_87 (Activation) (None, None, None, 0 ['batch_normalization_87[0][0]'] \n",
" 192) \n",
" \n",
" block17_3_mixed (Concatenate) (None, None, None, 0 ['activation_84[0][0]', \n",
" 384) 'activation_87[0][0]'] \n",
" \n",
" block17_3_conv (Conv2D) (None, None, None, 418880 ['block17_3_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_3 (Lambda) (None, None, None, 0 ['block17_2_ac[0][0]', \n",
" 1088) 'block17_3_conv[0][0]'] \n",
" \n",
" block17_3_ac (Activation) (None, None, None, 0 ['block17_3[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_89 (Conv2D) (None, None, None, 139264 ['block17_3_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_89 (BatchN (None, None, None, 384 ['conv2d_89[0][0]'] \n",
" ormalization) 128) \n",
" \n",
" activation_89 (Activation) (None, None, None, 0 ['batch_normalization_89[0][0]'] \n",
" 128) \n",
" \n",
" conv2d_90 (Conv2D) (None, None, None, 143360 ['activation_89[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_90 (BatchN (None, None, None, 480 ['conv2d_90[0][0]'] \n",
" ormalization) 160) \n",
" \n",
" activation_90 (Activation) (None, None, None, 0 ['batch_normalization_90[0][0]'] \n",
" 160) \n",
" \n",
" conv2d_88 (Conv2D) (None, None, None, 208896 ['block17_3_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_91 (Conv2D) (None, None, None, 215040 ['activation_90[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_88 (BatchN (None, None, None, 576 ['conv2d_88[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" batch_normalization_91 (BatchN (None, None, None, 576 ['conv2d_91[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" activation_88 (Activation) (None, None, None, 0 ['batch_normalization_88[0][0]'] \n",
" 192) \n",
" \n",
" activation_91 (Activation) (None, None, None, 0 ['batch_normalization_91[0][0]'] \n",
" 192) \n",
" \n",
" block17_4_mixed (Concatenate) (None, None, None, 0 ['activation_88[0][0]', \n",
" 384) 'activation_91[0][0]'] \n",
" \n",
" block17_4_conv (Conv2D) (None, None, None, 418880 ['block17_4_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_4 (Lambda) (None, None, None, 0 ['block17_3_ac[0][0]', \n",
" 1088) 'block17_4_conv[0][0]'] \n",
" \n",
" block17_4_ac (Activation) (None, None, None, 0 ['block17_4[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_93 (Conv2D) (None, None, None, 139264 ['block17_4_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_93 (BatchN (None, None, None, 384 ['conv2d_93[0][0]'] \n",
" ormalization) 128) \n",
" \n",
" activation_93 (Activation) (None, None, None, 0 ['batch_normalization_93[0][0]'] \n",
" 128) \n",
" \n",
" conv2d_94 (Conv2D) (None, None, None, 143360 ['activation_93[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_94 (BatchN (None, None, None, 480 ['conv2d_94[0][0]'] \n",
" ormalization) 160) \n",
" \n",
" activation_94 (Activation) (None, None, None, 0 ['batch_normalization_94[0][0]'] \n",
" 160) \n",
" \n",
" conv2d_92 (Conv2D) (None, None, None, 208896 ['block17_4_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_95 (Conv2D) (None, None, None, 215040 ['activation_94[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_92 (BatchN (None, None, None, 576 ['conv2d_92[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" batch_normalization_95 (BatchN (None, None, None, 576 ['conv2d_95[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" activation_92 (Activation) (None, None, None, 0 ['batch_normalization_92[0][0]'] \n",
" 192) \n",
" \n",
" activation_95 (Activation) (None, None, None, 0 ['batch_normalization_95[0][0]'] \n",
" 192) \n",
" \n",
" block17_5_mixed (Concatenate) (None, None, None, 0 ['activation_92[0][0]', \n",
" 384) 'activation_95[0][0]'] \n",
" \n",
" block17_5_conv (Conv2D) (None, None, None, 418880 ['block17_5_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_5 (Lambda) (None, None, None, 0 ['block17_4_ac[0][0]', \n",
" 1088) 'block17_5_conv[0][0]'] \n",
" \n",
" block17_5_ac (Activation) (None, None, None, 0 ['block17_5[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_97 (Conv2D) (None, None, None, 139264 ['block17_5_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_97 (BatchN (None, None, None, 384 ['conv2d_97[0][0]'] \n",
" ormalization) 128) \n",
" \n",
" activation_97 (Activation) (None, None, None, 0 ['batch_normalization_97[0][0]'] \n",
" 128) \n",
" \n",
" conv2d_98 (Conv2D) (None, None, None, 143360 ['activation_97[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_98 (BatchN (None, None, None, 480 ['conv2d_98[0][0]'] \n",
" ormalization) 160) \n",
" \n",
" activation_98 (Activation) (None, None, None, 0 ['batch_normalization_98[0][0]'] \n",
" 160) \n",
" \n",
" conv2d_96 (Conv2D) (None, None, None, 208896 ['block17_5_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_99 (Conv2D) (None, None, None, 215040 ['activation_98[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_96 (BatchN (None, None, None, 576 ['conv2d_96[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" batch_normalization_99 (BatchN (None, None, None, 576 ['conv2d_99[0][0]'] \n",
" ormalization) 192) \n",
" \n",
" activation_96 (Activation) (None, None, None, 0 ['batch_normalization_96[0][0]'] \n",
" 192) \n",
" \n",
" activation_99 (Activation) (None, None, None, 0 ['batch_normalization_99[0][0]'] \n",
" 192) \n",
" \n",
" block17_6_mixed (Concatenate) (None, None, None, 0 ['activation_96[0][0]', \n",
" 384) 'activation_99[0][0]'] \n",
" \n",
" block17_6_conv (Conv2D) (None, None, None, 418880 ['block17_6_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_6 (Lambda) (None, None, None, 0 ['block17_5_ac[0][0]', \n",
" 1088) 'block17_6_conv[0][0]'] \n",
" \n",
" block17_6_ac (Activation) (None, None, None, 0 ['block17_6[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_101 (Conv2D) (None, None, None, 139264 ['block17_6_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_101 (Batch (None, None, None, 384 ['conv2d_101[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_101 (Activation) (None, None, None, 0 ['batch_normalization_101[0][0]']\n",
" 128) \n",
" \n",
" conv2d_102 (Conv2D) (None, None, None, 143360 ['activation_101[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_102 (Batch (None, None, None, 480 ['conv2d_102[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_102 (Activation) (None, None, None, 0 ['batch_normalization_102[0][0]']\n",
" 160) \n",
" \n",
" conv2d_100 (Conv2D) (None, None, None, 208896 ['block17_6_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_103 (Conv2D) (None, None, None, 215040 ['activation_102[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_100 (Batch (None, None, None, 576 ['conv2d_100[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_103 (Batch (None, None, None, 576 ['conv2d_103[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_100 (Activation) (None, None, None, 0 ['batch_normalization_100[0][0]']\n",
" 192) \n",
" \n",
" activation_103 (Activation) (None, None, None, 0 ['batch_normalization_103[0][0]']\n",
" 192) \n",
" \n",
" block17_7_mixed (Concatenate) (None, None, None, 0 ['activation_100[0][0]', \n",
" 384) 'activation_103[0][0]'] \n",
" \n",
" block17_7_conv (Conv2D) (None, None, None, 418880 ['block17_7_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_7 (Lambda) (None, None, None, 0 ['block17_6_ac[0][0]', \n",
" 1088) 'block17_7_conv[0][0]'] \n",
" \n",
" block17_7_ac (Activation) (None, None, None, 0 ['block17_7[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_105 (Conv2D) (None, None, None, 139264 ['block17_7_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_105 (Batch (None, None, None, 384 ['conv2d_105[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_105 (Activation) (None, None, None, 0 ['batch_normalization_105[0][0]']\n",
" 128) \n",
" \n",
" conv2d_106 (Conv2D) (None, None, None, 143360 ['activation_105[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_106 (Batch (None, None, None, 480 ['conv2d_106[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_106 (Activation) (None, None, None, 0 ['batch_normalization_106[0][0]']\n",
" 160) \n",
" \n",
" conv2d_104 (Conv2D) (None, None, None, 208896 ['block17_7_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_107 (Conv2D) (None, None, None, 215040 ['activation_106[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_104 (Batch (None, None, None, 576 ['conv2d_104[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_107 (Batch (None, None, None, 576 ['conv2d_107[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_104 (Activation) (None, None, None, 0 ['batch_normalization_104[0][0]']\n",
" 192) \n",
" \n",
" activation_107 (Activation) (None, None, None, 0 ['batch_normalization_107[0][0]']\n",
" 192) \n",
" \n",
" block17_8_mixed (Concatenate) (None, None, None, 0 ['activation_104[0][0]', \n",
" 384) 'activation_107[0][0]'] \n",
" \n",
" block17_8_conv (Conv2D) (None, None, None, 418880 ['block17_8_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_8 (Lambda) (None, None, None, 0 ['block17_7_ac[0][0]', \n",
" 1088) 'block17_8_conv[0][0]'] \n",
" \n",
" block17_8_ac (Activation) (None, None, None, 0 ['block17_8[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_109 (Conv2D) (None, None, None, 139264 ['block17_8_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_109 (Batch (None, None, None, 384 ['conv2d_109[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_109 (Activation) (None, None, None, 0 ['batch_normalization_109[0][0]']\n",
" 128) \n",
" \n",
" conv2d_110 (Conv2D) (None, None, None, 143360 ['activation_109[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_110 (Batch (None, None, None, 480 ['conv2d_110[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_110 (Activation) (None, None, None, 0 ['batch_normalization_110[0][0]']\n",
" 160) \n",
" \n",
" conv2d_108 (Conv2D) (None, None, None, 208896 ['block17_8_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_111 (Conv2D) (None, None, None, 215040 ['activation_110[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_108 (Batch (None, None, None, 576 ['conv2d_108[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_111 (Batch (None, None, None, 576 ['conv2d_111[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_108 (Activation) (None, None, None, 0 ['batch_normalization_108[0][0]']\n",
" 192) \n",
" \n",
" activation_111 (Activation) (None, None, None, 0 ['batch_normalization_111[0][0]']\n",
" 192) \n",
" \n",
" block17_9_mixed (Concatenate) (None, None, None, 0 ['activation_108[0][0]', \n",
" 384) 'activation_111[0][0]'] \n",
" \n",
" block17_9_conv (Conv2D) (None, None, None, 418880 ['block17_9_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_9 (Lambda) (None, None, None, 0 ['block17_8_ac[0][0]', \n",
" 1088) 'block17_9_conv[0][0]'] \n",
" \n",
" block17_9_ac (Activation) (None, None, None, 0 ['block17_9[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_113 (Conv2D) (None, None, None, 139264 ['block17_9_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_113 (Batch (None, None, None, 384 ['conv2d_113[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_113 (Activation) (None, None, None, 0 ['batch_normalization_113[0][0]']\n",
" 128) \n",
" \n",
" conv2d_114 (Conv2D) (None, None, None, 143360 ['activation_113[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_114 (Batch (None, None, None, 480 ['conv2d_114[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_114 (Activation) (None, None, None, 0 ['batch_normalization_114[0][0]']\n",
" 160) \n",
" \n",
" conv2d_112 (Conv2D) (None, None, None, 208896 ['block17_9_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_115 (Conv2D) (None, None, None, 215040 ['activation_114[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_112 (Batch (None, None, None, 576 ['conv2d_112[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_115 (Batch (None, None, None, 576 ['conv2d_115[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_112 (Activation) (None, None, None, 0 ['batch_normalization_112[0][0]']\n",
" 192) \n",
" \n",
" activation_115 (Activation) (None, None, None, 0 ['batch_normalization_115[0][0]']\n",
" 192) \n",
" \n",
" block17_10_mixed (Concatenate) (None, None, None, 0 ['activation_112[0][0]', \n",
" 384) 'activation_115[0][0]'] \n",
" \n",
" block17_10_conv (Conv2D) (None, None, None, 418880 ['block17_10_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_10 (Lambda) (None, None, None, 0 ['block17_9_ac[0][0]', \n",
" 1088) 'block17_10_conv[0][0]'] \n",
" \n",
" block17_10_ac (Activation) (None, None, None, 0 ['block17_10[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_117 (Conv2D) (None, None, None, 139264 ['block17_10_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_117 (Batch (None, None, None, 384 ['conv2d_117[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_117 (Activation) (None, None, None, 0 ['batch_normalization_117[0][0]']\n",
" 128) \n",
" \n",
" conv2d_118 (Conv2D) (None, None, None, 143360 ['activation_117[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_118 (Batch (None, None, None, 480 ['conv2d_118[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_118 (Activation) (None, None, None, 0 ['batch_normalization_118[0][0]']\n",
" 160) \n",
" \n",
" conv2d_116 (Conv2D) (None, None, None, 208896 ['block17_10_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_119 (Conv2D) (None, None, None, 215040 ['activation_118[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_116 (Batch (None, None, None, 576 ['conv2d_116[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_119 (Batch (None, None, None, 576 ['conv2d_119[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_116 (Activation) (None, None, None, 0 ['batch_normalization_116[0][0]']\n",
" 192) \n",
" \n",
" activation_119 (Activation) (None, None, None, 0 ['batch_normalization_119[0][0]']\n",
" 192) \n",
" \n",
" block17_11_mixed (Concatenate) (None, None, None, 0 ['activation_116[0][0]', \n",
" 384) 'activation_119[0][0]'] \n",
" \n",
" block17_11_conv (Conv2D) (None, None, None, 418880 ['block17_11_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_11 (Lambda) (None, None, None, 0 ['block17_10_ac[0][0]', \n",
" 1088) 'block17_11_conv[0][0]'] \n",
" \n",
" block17_11_ac (Activation) (None, None, None, 0 ['block17_11[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_121 (Conv2D) (None, None, None, 139264 ['block17_11_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_121 (Batch (None, None, None, 384 ['conv2d_121[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_121 (Activation) (None, None, None, 0 ['batch_normalization_121[0][0]']\n",
" 128) \n",
" \n",
" conv2d_122 (Conv2D) (None, None, None, 143360 ['activation_121[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_122 (Batch (None, None, None, 480 ['conv2d_122[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_122 (Activation) (None, None, None, 0 ['batch_normalization_122[0][0]']\n",
" 160) \n",
" \n",
" conv2d_120 (Conv2D) (None, None, None, 208896 ['block17_11_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_123 (Conv2D) (None, None, None, 215040 ['activation_122[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_120 (Batch (None, None, None, 576 ['conv2d_120[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_123 (Batch (None, None, None, 576 ['conv2d_123[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_120 (Activation) (None, None, None, 0 ['batch_normalization_120[0][0]']\n",
" 192) \n",
" \n",
" activation_123 (Activation) (None, None, None, 0 ['batch_normalization_123[0][0]']\n",
" 192) \n",
" \n",
" block17_12_mixed (Concatenate) (None, None, None, 0 ['activation_120[0][0]', \n",
" 384) 'activation_123[0][0]'] \n",
" \n",
" block17_12_conv (Conv2D) (None, None, None, 418880 ['block17_12_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_12 (Lambda) (None, None, None, 0 ['block17_11_ac[0][0]', \n",
" 1088) 'block17_12_conv[0][0]'] \n",
" \n",
" block17_12_ac (Activation) (None, None, None, 0 ['block17_12[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_125 (Conv2D) (None, None, None, 139264 ['block17_12_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_125 (Batch (None, None, None, 384 ['conv2d_125[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_125 (Activation) (None, None, None, 0 ['batch_normalization_125[0][0]']\n",
" 128) \n",
" \n",
" conv2d_126 (Conv2D) (None, None, None, 143360 ['activation_125[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_126 (Batch (None, None, None, 480 ['conv2d_126[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_126 (Activation) (None, None, None, 0 ['batch_normalization_126[0][0]']\n",
" 160) \n",
" \n",
" conv2d_124 (Conv2D) (None, None, None, 208896 ['block17_12_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_127 (Conv2D) (None, None, None, 215040 ['activation_126[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_124 (Batch (None, None, None, 576 ['conv2d_124[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_127 (Batch (None, None, None, 576 ['conv2d_127[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_124 (Activation) (None, None, None, 0 ['batch_normalization_124[0][0]']\n",
" 192) \n",
" \n",
" activation_127 (Activation) (None, None, None, 0 ['batch_normalization_127[0][0]']\n",
" 192) \n",
" \n",
" block17_13_mixed (Concatenate) (None, None, None, 0 ['activation_124[0][0]', \n",
" 384) 'activation_127[0][0]'] \n",
" \n",
" block17_13_conv (Conv2D) (None, None, None, 418880 ['block17_13_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_13 (Lambda) (None, None, None, 0 ['block17_12_ac[0][0]', \n",
" 1088) 'block17_13_conv[0][0]'] \n",
" \n",
" block17_13_ac (Activation) (None, None, None, 0 ['block17_13[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_129 (Conv2D) (None, None, None, 139264 ['block17_13_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_129 (Batch (None, None, None, 384 ['conv2d_129[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_129 (Activation) (None, None, None, 0 ['batch_normalization_129[0][0]']\n",
" 128) \n",
" \n",
" conv2d_130 (Conv2D) (None, None, None, 143360 ['activation_129[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_130 (Batch (None, None, None, 480 ['conv2d_130[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_130 (Activation) (None, None, None, 0 ['batch_normalization_130[0][0]']\n",
" 160) \n",
" \n",
" conv2d_128 (Conv2D) (None, None, None, 208896 ['block17_13_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_131 (Conv2D) (None, None, None, 215040 ['activation_130[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_128 (Batch (None, None, None, 576 ['conv2d_128[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_131 (Batch (None, None, None, 576 ['conv2d_131[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_128 (Activation) (None, None, None, 0 ['batch_normalization_128[0][0]']\n",
" 192) \n",
" \n",
" activation_131 (Activation) (None, None, None, 0 ['batch_normalization_131[0][0]']\n",
" 192) \n",
" \n",
" block17_14_mixed (Concatenate) (None, None, None, 0 ['activation_128[0][0]', \n",
" 384) 'activation_131[0][0]'] \n",
" \n",
" block17_14_conv (Conv2D) (None, None, None, 418880 ['block17_14_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_14 (Lambda) (None, None, None, 0 ['block17_13_ac[0][0]', \n",
" 1088) 'block17_14_conv[0][0]'] \n",
" \n",
" block17_14_ac (Activation) (None, None, None, 0 ['block17_14[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_133 (Conv2D) (None, None, None, 139264 ['block17_14_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_133 (Batch (None, None, None, 384 ['conv2d_133[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_133 (Activation) (None, None, None, 0 ['batch_normalization_133[0][0]']\n",
" 128) \n",
" \n",
" conv2d_134 (Conv2D) (None, None, None, 143360 ['activation_133[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_134 (Batch (None, None, None, 480 ['conv2d_134[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_134 (Activation) (None, None, None, 0 ['batch_normalization_134[0][0]']\n",
" 160) \n",
" \n",
" conv2d_132 (Conv2D) (None, None, None, 208896 ['block17_14_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_135 (Conv2D) (None, None, None, 215040 ['activation_134[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_132 (Batch (None, None, None, 576 ['conv2d_132[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_135 (Batch (None, None, None, 576 ['conv2d_135[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_132 (Activation) (None, None, None, 0 ['batch_normalization_132[0][0]']\n",
" 192) \n",
" \n",
" activation_135 (Activation) (None, None, None, 0 ['batch_normalization_135[0][0]']\n",
" 192) \n",
" \n",
" block17_15_mixed (Concatenate) (None, None, None, 0 ['activation_132[0][0]', \n",
" 384) 'activation_135[0][0]'] \n",
" \n",
" block17_15_conv (Conv2D) (None, None, None, 418880 ['block17_15_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_15 (Lambda) (None, None, None, 0 ['block17_14_ac[0][0]', \n",
" 1088) 'block17_15_conv[0][0]'] \n",
" \n",
" block17_15_ac (Activation) (None, None, None, 0 ['block17_15[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_137 (Conv2D) (None, None, None, 139264 ['block17_15_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_137 (Batch (None, None, None, 384 ['conv2d_137[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_137 (Activation) (None, None, None, 0 ['batch_normalization_137[0][0]']\n",
" 128) \n",
" \n",
" conv2d_138 (Conv2D) (None, None, None, 143360 ['activation_137[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_138 (Batch (None, None, None, 480 ['conv2d_138[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_138 (Activation) (None, None, None, 0 ['batch_normalization_138[0][0]']\n",
" 160) \n",
" \n",
" conv2d_136 (Conv2D) (None, None, None, 208896 ['block17_15_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_139 (Conv2D) (None, None, None, 215040 ['activation_138[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_136 (Batch (None, None, None, 576 ['conv2d_136[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_139 (Batch (None, None, None, 576 ['conv2d_139[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_136 (Activation) (None, None, None, 0 ['batch_normalization_136[0][0]']\n",
" 192) \n",
" \n",
" activation_139 (Activation) (None, None, None, 0 ['batch_normalization_139[0][0]']\n",
" 192) \n",
" \n",
" block17_16_mixed (Concatenate) (None, None, None, 0 ['activation_136[0][0]', \n",
" 384) 'activation_139[0][0]'] \n",
" \n",
" block17_16_conv (Conv2D) (None, None, None, 418880 ['block17_16_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_16 (Lambda) (None, None, None, 0 ['block17_15_ac[0][0]', \n",
" 1088) 'block17_16_conv[0][0]'] \n",
" \n",
" block17_16_ac (Activation) (None, None, None, 0 ['block17_16[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_141 (Conv2D) (None, None, None, 139264 ['block17_16_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_141 (Batch (None, None, None, 384 ['conv2d_141[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_141 (Activation) (None, None, None, 0 ['batch_normalization_141[0][0]']\n",
" 128) \n",
" \n",
" conv2d_142 (Conv2D) (None, None, None, 143360 ['activation_141[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_142 (Batch (None, None, None, 480 ['conv2d_142[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_142 (Activation) (None, None, None, 0 ['batch_normalization_142[0][0]']\n",
" 160) \n",
" \n",
" conv2d_140 (Conv2D) (None, None, None, 208896 ['block17_16_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_143 (Conv2D) (None, None, None, 215040 ['activation_142[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_140 (Batch (None, None, None, 576 ['conv2d_140[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_143 (Batch (None, None, None, 576 ['conv2d_143[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_140 (Activation) (None, None, None, 0 ['batch_normalization_140[0][0]']\n",
" 192) \n",
" \n",
" activation_143 (Activation) (None, None, None, 0 ['batch_normalization_143[0][0]']\n",
" 192) \n",
" \n",
" block17_17_mixed (Concatenate) (None, None, None, 0 ['activation_140[0][0]', \n",
" 384) 'activation_143[0][0]'] \n",
" \n",
" block17_17_conv (Conv2D) (None, None, None, 418880 ['block17_17_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_17 (Lambda) (None, None, None, 0 ['block17_16_ac[0][0]', \n",
" 1088) 'block17_17_conv[0][0]'] \n",
" \n",
" block17_17_ac (Activation) (None, None, None, 0 ['block17_17[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_145 (Conv2D) (None, None, None, 139264 ['block17_17_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_145 (Batch (None, None, None, 384 ['conv2d_145[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_145 (Activation) (None, None, None, 0 ['batch_normalization_145[0][0]']\n",
" 128) \n",
" \n",
" conv2d_146 (Conv2D) (None, None, None, 143360 ['activation_145[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_146 (Batch (None, None, None, 480 ['conv2d_146[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_146 (Activation) (None, None, None, 0 ['batch_normalization_146[0][0]']\n",
" 160) \n",
" \n",
" conv2d_144 (Conv2D) (None, None, None, 208896 ['block17_17_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_147 (Conv2D) (None, None, None, 215040 ['activation_146[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_144 (Batch (None, None, None, 576 ['conv2d_144[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_147 (Batch (None, None, None, 576 ['conv2d_147[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_144 (Activation) (None, None, None, 0 ['batch_normalization_144[0][0]']\n",
" 192) \n",
" \n",
" activation_147 (Activation) (None, None, None, 0 ['batch_normalization_147[0][0]']\n",
" 192) \n",
" \n",
" block17_18_mixed (Concatenate) (None, None, None, 0 ['activation_144[0][0]', \n",
" 384) 'activation_147[0][0]'] \n",
" \n",
" block17_18_conv (Conv2D) (None, None, None, 418880 ['block17_18_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_18 (Lambda) (None, None, None, 0 ['block17_17_ac[0][0]', \n",
" 1088) 'block17_18_conv[0][0]'] \n",
" \n",
" block17_18_ac (Activation) (None, None, None, 0 ['block17_18[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_149 (Conv2D) (None, None, None, 139264 ['block17_18_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_149 (Batch (None, None, None, 384 ['conv2d_149[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_149 (Activation) (None, None, None, 0 ['batch_normalization_149[0][0]']\n",
" 128) \n",
" \n",
" conv2d_150 (Conv2D) (None, None, None, 143360 ['activation_149[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_150 (Batch (None, None, None, 480 ['conv2d_150[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_150 (Activation) (None, None, None, 0 ['batch_normalization_150[0][0]']\n",
" 160) \n",
" \n",
" conv2d_148 (Conv2D) (None, None, None, 208896 ['block17_18_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_151 (Conv2D) (None, None, None, 215040 ['activation_150[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_148 (Batch (None, None, None, 576 ['conv2d_148[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_151 (Batch (None, None, None, 576 ['conv2d_151[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_148 (Activation) (None, None, None, 0 ['batch_normalization_148[0][0]']\n",
" 192) \n",
" \n",
" activation_151 (Activation) (None, None, None, 0 ['batch_normalization_151[0][0]']\n",
" 192) \n",
" \n",
" block17_19_mixed (Concatenate) (None, None, None, 0 ['activation_148[0][0]', \n",
" 384) 'activation_151[0][0]'] \n",
" \n",
" block17_19_conv (Conv2D) (None, None, None, 418880 ['block17_19_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_19 (Lambda) (None, None, None, 0 ['block17_18_ac[0][0]', \n",
" 1088) 'block17_19_conv[0][0]'] \n",
" \n",
" block17_19_ac (Activation) (None, None, None, 0 ['block17_19[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_153 (Conv2D) (None, None, None, 139264 ['block17_19_ac[0][0]'] \n",
" 128) \n",
" \n",
" batch_normalization_153 (Batch (None, None, None, 384 ['conv2d_153[0][0]'] \n",
" Normalization) 128) \n",
" \n",
" activation_153 (Activation) (None, None, None, 0 ['batch_normalization_153[0][0]']\n",
" 128) \n",
" \n",
" conv2d_154 (Conv2D) (None, None, None, 143360 ['activation_153[0][0]'] \n",
" 160) \n",
" \n",
" batch_normalization_154 (Batch (None, None, None, 480 ['conv2d_154[0][0]'] \n",
" Normalization) 160) \n",
" \n",
" activation_154 (Activation) (None, None, None, 0 ['batch_normalization_154[0][0]']\n",
" 160) \n",
" \n",
" conv2d_152 (Conv2D) (None, None, None, 208896 ['block17_19_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_155 (Conv2D) (None, None, None, 215040 ['activation_154[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_152 (Batch (None, None, None, 576 ['conv2d_152[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_155 (Batch (None, None, None, 576 ['conv2d_155[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_152 (Activation) (None, None, None, 0 ['batch_normalization_152[0][0]']\n",
" 192) \n",
" \n",
" activation_155 (Activation) (None, None, None, 0 ['batch_normalization_155[0][0]']\n",
" 192) \n",
" \n",
" block17_20_mixed (Concatenate) (None, None, None, 0 ['activation_152[0][0]', \n",
" 384) 'activation_155[0][0]'] \n",
" \n",
" block17_20_conv (Conv2D) (None, None, None, 418880 ['block17_20_mixed[0][0]'] \n",
" 1088) \n",
" \n",
" block17_20 (Lambda) (None, None, None, 0 ['block17_19_ac[0][0]', \n",
" 1088) 'block17_20_conv[0][0]'] \n",
" \n",
" block17_20_ac (Activation) (None, None, None, 0 ['block17_20[0][0]'] \n",
" 1088) \n",
" \n",
" conv2d_160 (Conv2D) (None, None, None, 278528 ['block17_20_ac[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_160 (Batch (None, None, None, 768 ['conv2d_160[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_160 (Activation) (None, None, None, 0 ['batch_normalization_160[0][0]']\n",
" 256) \n",
" \n",
" conv2d_156 (Conv2D) (None, None, None, 278528 ['block17_20_ac[0][0]'] \n",
" 256) \n",
" \n",
" conv2d_158 (Conv2D) (None, None, None, 278528 ['block17_20_ac[0][0]'] \n",
" 256) \n",
" \n",
" conv2d_161 (Conv2D) (None, None, None, 663552 ['activation_160[0][0]'] \n",
" 288) \n",
" \n",
" batch_normalization_156 (Batch (None, None, None, 768 ['conv2d_156[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" batch_normalization_158 (Batch (None, None, None, 768 ['conv2d_158[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" batch_normalization_161 (Batch (None, None, None, 864 ['conv2d_161[0][0]'] \n",
" Normalization) 288) \n",
" \n",
" activation_156 (Activation) (None, None, None, 0 ['batch_normalization_156[0][0]']\n",
" 256) \n",
" \n",
" activation_158 (Activation) (None, None, None, 0 ['batch_normalization_158[0][0]']\n",
" 256) \n",
" \n",
" activation_161 (Activation) (None, None, None, 0 ['batch_normalization_161[0][0]']\n",
" 288) \n",
" \n",
" conv2d_157 (Conv2D) (None, None, None, 884736 ['activation_156[0][0]'] \n",
" 384) \n",
" \n",
" conv2d_159 (Conv2D) (None, None, None, 663552 ['activation_158[0][0]'] \n",
" 288) \n",
" \n",
" conv2d_162 (Conv2D) (None, None, None, 829440 ['activation_161[0][0]'] \n",
" 320) \n",
" \n",
" batch_normalization_157 (Batch (None, None, None, 1152 ['conv2d_157[0][0]'] \n",
" Normalization) 384) \n",
" \n",
" batch_normalization_159 (Batch (None, None, None, 864 ['conv2d_159[0][0]'] \n",
" Normalization) 288) \n",
" \n",
" batch_normalization_162 (Batch (None, None, None, 960 ['conv2d_162[0][0]'] \n",
" Normalization) 320) \n",
" \n",
" activation_157 (Activation) (None, None, None, 0 ['batch_normalization_157[0][0]']\n",
" 384) \n",
" \n",
" activation_159 (Activation) (None, None, None, 0 ['batch_normalization_159[0][0]']\n",
" 288) \n",
" \n",
" activation_162 (Activation) (None, None, None, 0 ['batch_normalization_162[0][0]']\n",
" 320) \n",
" \n",
" max_pooling2d_3 (MaxPooling2D) (None, None, None, 0 ['block17_20_ac[0][0]'] \n",
" 1088) \n",
" \n",
" mixed_7a (Concatenate) (None, None, None, 0 ['activation_157[0][0]', \n",
" 2080) 'activation_159[0][0]', \n",
" 'activation_162[0][0]', \n",
" 'max_pooling2d_3[0][0]'] \n",
" \n",
" conv2d_164 (Conv2D) (None, None, None, 399360 ['mixed_7a[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_164 (Batch (None, None, None, 576 ['conv2d_164[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_164 (Activation) (None, None, None, 0 ['batch_normalization_164[0][0]']\n",
" 192) \n",
" \n",
" conv2d_165 (Conv2D) (None, None, None, 129024 ['activation_164[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_165 (Batch (None, None, None, 672 ['conv2d_165[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_165 (Activation) (None, None, None, 0 ['batch_normalization_165[0][0]']\n",
" 224) \n",
" \n",
" conv2d_163 (Conv2D) (None, None, None, 399360 ['mixed_7a[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_166 (Conv2D) (None, None, None, 172032 ['activation_165[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_163 (Batch (None, None, None, 576 ['conv2d_163[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_166 (Batch (None, None, None, 768 ['conv2d_166[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_163 (Activation) (None, None, None, 0 ['batch_normalization_163[0][0]']\n",
" 192) \n",
" \n",
" activation_166 (Activation) (None, None, None, 0 ['batch_normalization_166[0][0]']\n",
" 256) \n",
" \n",
" block8_1_mixed (Concatenate) (None, None, None, 0 ['activation_163[0][0]', \n",
" 448) 'activation_166[0][0]'] \n",
" \n",
" block8_1_conv (Conv2D) (None, None, None, 933920 ['block8_1_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_1 (Lambda) (None, None, None, 0 ['mixed_7a[0][0]', \n",
" 2080) 'block8_1_conv[0][0]'] \n",
" \n",
" block8_1_ac (Activation) (None, None, None, 0 ['block8_1[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_168 (Conv2D) (None, None, None, 399360 ['block8_1_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_168 (Batch (None, None, None, 576 ['conv2d_168[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_168 (Activation) (None, None, None, 0 ['batch_normalization_168[0][0]']\n",
" 192) \n",
" \n",
" conv2d_169 (Conv2D) (None, None, None, 129024 ['activation_168[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_169 (Batch (None, None, None, 672 ['conv2d_169[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_169 (Activation) (None, None, None, 0 ['batch_normalization_169[0][0]']\n",
" 224) \n",
" \n",
" conv2d_167 (Conv2D) (None, None, None, 399360 ['block8_1_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_170 (Conv2D) (None, None, None, 172032 ['activation_169[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_167 (Batch (None, None, None, 576 ['conv2d_167[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_170 (Batch (None, None, None, 768 ['conv2d_170[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_167 (Activation) (None, None, None, 0 ['batch_normalization_167[0][0]']\n",
" 192) \n",
" \n",
" activation_170 (Activation) (None, None, None, 0 ['batch_normalization_170[0][0]']\n",
" 256) \n",
" \n",
" block8_2_mixed (Concatenate) (None, None, None, 0 ['activation_167[0][0]', \n",
" 448) 'activation_170[0][0]'] \n",
" \n",
" block8_2_conv (Conv2D) (None, None, None, 933920 ['block8_2_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_2 (Lambda) (None, None, None, 0 ['block8_1_ac[0][0]', \n",
" 2080) 'block8_2_conv[0][0]'] \n",
" \n",
" block8_2_ac (Activation) (None, None, None, 0 ['block8_2[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_172 (Conv2D) (None, None, None, 399360 ['block8_2_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_172 (Batch (None, None, None, 576 ['conv2d_172[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_172 (Activation) (None, None, None, 0 ['batch_normalization_172[0][0]']\n",
" 192) \n",
" \n",
" conv2d_173 (Conv2D) (None, None, None, 129024 ['activation_172[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_173 (Batch (None, None, None, 672 ['conv2d_173[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_173 (Activation) (None, None, None, 0 ['batch_normalization_173[0][0]']\n",
" 224) \n",
" \n",
" conv2d_171 (Conv2D) (None, None, None, 399360 ['block8_2_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_174 (Conv2D) (None, None, None, 172032 ['activation_173[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_171 (Batch (None, None, None, 576 ['conv2d_171[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_174 (Batch (None, None, None, 768 ['conv2d_174[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_171 (Activation) (None, None, None, 0 ['batch_normalization_171[0][0]']\n",
" 192) \n",
" \n",
" activation_174 (Activation) (None, None, None, 0 ['batch_normalization_174[0][0]']\n",
" 256) \n",
" \n",
" block8_3_mixed (Concatenate) (None, None, None, 0 ['activation_171[0][0]', \n",
" 448) 'activation_174[0][0]'] \n",
" \n",
" block8_3_conv (Conv2D) (None, None, None, 933920 ['block8_3_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_3 (Lambda) (None, None, None, 0 ['block8_2_ac[0][0]', \n",
" 2080) 'block8_3_conv[0][0]'] \n",
" \n",
" block8_3_ac (Activation) (None, None, None, 0 ['block8_3[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_176 (Conv2D) (None, None, None, 399360 ['block8_3_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_176 (Batch (None, None, None, 576 ['conv2d_176[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_176 (Activation) (None, None, None, 0 ['batch_normalization_176[0][0]']\n",
" 192) \n",
" \n",
" conv2d_177 (Conv2D) (None, None, None, 129024 ['activation_176[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_177 (Batch (None, None, None, 672 ['conv2d_177[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_177 (Activation) (None, None, None, 0 ['batch_normalization_177[0][0]']\n",
" 224) \n",
" \n",
" conv2d_175 (Conv2D) (None, None, None, 399360 ['block8_3_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_178 (Conv2D) (None, None, None, 172032 ['activation_177[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_175 (Batch (None, None, None, 576 ['conv2d_175[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_178 (Batch (None, None, None, 768 ['conv2d_178[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_175 (Activation) (None, None, None, 0 ['batch_normalization_175[0][0]']\n",
" 192) \n",
" \n",
" activation_178 (Activation) (None, None, None, 0 ['batch_normalization_178[0][0]']\n",
" 256) \n",
" \n",
" block8_4_mixed (Concatenate) (None, None, None, 0 ['activation_175[0][0]', \n",
" 448) 'activation_178[0][0]'] \n",
" \n",
" block8_4_conv (Conv2D) (None, None, None, 933920 ['block8_4_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_4 (Lambda) (None, None, None, 0 ['block8_3_ac[0][0]', \n",
" 2080) 'block8_4_conv[0][0]'] \n",
" \n",
" block8_4_ac (Activation) (None, None, None, 0 ['block8_4[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_180 (Conv2D) (None, None, None, 399360 ['block8_4_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_180 (Batch (None, None, None, 576 ['conv2d_180[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_180 (Activation) (None, None, None, 0 ['batch_normalization_180[0][0]']\n",
" 192) \n",
" \n",
" conv2d_181 (Conv2D) (None, None, None, 129024 ['activation_180[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_181 (Batch (None, None, None, 672 ['conv2d_181[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_181 (Activation) (None, None, None, 0 ['batch_normalization_181[0][0]']\n",
" 224) \n",
" \n",
" conv2d_179 (Conv2D) (None, None, None, 399360 ['block8_4_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_182 (Conv2D) (None, None, None, 172032 ['activation_181[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_179 (Batch (None, None, None, 576 ['conv2d_179[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_182 (Batch (None, None, None, 768 ['conv2d_182[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_179 (Activation) (None, None, None, 0 ['batch_normalization_179[0][0]']\n",
" 192) \n",
" \n",
" activation_182 (Activation) (None, None, None, 0 ['batch_normalization_182[0][0]']\n",
" 256) \n",
" \n",
" block8_5_mixed (Concatenate) (None, None, None, 0 ['activation_179[0][0]', \n",
" 448) 'activation_182[0][0]'] \n",
" \n",
" block8_5_conv (Conv2D) (None, None, None, 933920 ['block8_5_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_5 (Lambda) (None, None, None, 0 ['block8_4_ac[0][0]', \n",
" 2080) 'block8_5_conv[0][0]'] \n",
" \n",
" block8_5_ac (Activation) (None, None, None, 0 ['block8_5[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_184 (Conv2D) (None, None, None, 399360 ['block8_5_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_184 (Batch (None, None, None, 576 ['conv2d_184[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_184 (Activation) (None, None, None, 0 ['batch_normalization_184[0][0]']\n",
" 192) \n",
" \n",
" conv2d_185 (Conv2D) (None, None, None, 129024 ['activation_184[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_185 (Batch (None, None, None, 672 ['conv2d_185[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_185 (Activation) (None, None, None, 0 ['batch_normalization_185[0][0]']\n",
" 224) \n",
" \n",
" conv2d_183 (Conv2D) (None, None, None, 399360 ['block8_5_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_186 (Conv2D) (None, None, None, 172032 ['activation_185[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_183 (Batch (None, None, None, 576 ['conv2d_183[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_186 (Batch (None, None, None, 768 ['conv2d_186[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_183 (Activation) (None, None, None, 0 ['batch_normalization_183[0][0]']\n",
" 192) \n",
" \n",
" activation_186 (Activation) (None, None, None, 0 ['batch_normalization_186[0][0]']\n",
" 256) \n",
" \n",
" block8_6_mixed (Concatenate) (None, None, None, 0 ['activation_183[0][0]', \n",
" 448) 'activation_186[0][0]'] \n",
" \n",
" block8_6_conv (Conv2D) (None, None, None, 933920 ['block8_6_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_6 (Lambda) (None, None, None, 0 ['block8_5_ac[0][0]', \n",
" 2080) 'block8_6_conv[0][0]'] \n",
" \n",
" block8_6_ac (Activation) (None, None, None, 0 ['block8_6[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_188 (Conv2D) (None, None, None, 399360 ['block8_6_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_188 (Batch (None, None, None, 576 ['conv2d_188[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_188 (Activation) (None, None, None, 0 ['batch_normalization_188[0][0]']\n",
" 192) \n",
" \n",
" conv2d_189 (Conv2D) (None, None, None, 129024 ['activation_188[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_189 (Batch (None, None, None, 672 ['conv2d_189[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_189 (Activation) (None, None, None, 0 ['batch_normalization_189[0][0]']\n",
" 224) \n",
" \n",
" conv2d_187 (Conv2D) (None, None, None, 399360 ['block8_6_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_190 (Conv2D) (None, None, None, 172032 ['activation_189[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_187 (Batch (None, None, None, 576 ['conv2d_187[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_190 (Batch (None, None, None, 768 ['conv2d_190[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_187 (Activation) (None, None, None, 0 ['batch_normalization_187[0][0]']\n",
" 192) \n",
" \n",
" activation_190 (Activation) (None, None, None, 0 ['batch_normalization_190[0][0]']\n",
" 256) \n",
" \n",
" block8_7_mixed (Concatenate) (None, None, None, 0 ['activation_187[0][0]', \n",
" 448) 'activation_190[0][0]'] \n",
" \n",
" block8_7_conv (Conv2D) (None, None, None, 933920 ['block8_7_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_7 (Lambda) (None, None, None, 0 ['block8_6_ac[0][0]', \n",
" 2080) 'block8_7_conv[0][0]'] \n",
" \n",
" block8_7_ac (Activation) (None, None, None, 0 ['block8_7[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_192 (Conv2D) (None, None, None, 399360 ['block8_7_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_192 (Batch (None, None, None, 576 ['conv2d_192[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_192 (Activation) (None, None, None, 0 ['batch_normalization_192[0][0]']\n",
" 192) \n",
" \n",
" conv2d_193 (Conv2D) (None, None, None, 129024 ['activation_192[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_193 (Batch (None, None, None, 672 ['conv2d_193[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_193 (Activation) (None, None, None, 0 ['batch_normalization_193[0][0]']\n",
" 224) \n",
" \n",
" conv2d_191 (Conv2D) (None, None, None, 399360 ['block8_7_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_194 (Conv2D) (None, None, None, 172032 ['activation_193[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_191 (Batch (None, None, None, 576 ['conv2d_191[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_194 (Batch (None, None, None, 768 ['conv2d_194[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_191 (Activation) (None, None, None, 0 ['batch_normalization_191[0][0]']\n",
" 192) \n",
" \n",
" activation_194 (Activation) (None, None, None, 0 ['batch_normalization_194[0][0]']\n",
" 256) \n",
" \n",
" block8_8_mixed (Concatenate) (None, None, None, 0 ['activation_191[0][0]', \n",
" 448) 'activation_194[0][0]'] \n",
" \n",
" block8_8_conv (Conv2D) (None, None, None, 933920 ['block8_8_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_8 (Lambda) (None, None, None, 0 ['block8_7_ac[0][0]', \n",
" 2080) 'block8_8_conv[0][0]'] \n",
" \n",
" block8_8_ac (Activation) (None, None, None, 0 ['block8_8[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_196 (Conv2D) (None, None, None, 399360 ['block8_8_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_196 (Batch (None, None, None, 576 ['conv2d_196[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_196 (Activation) (None, None, None, 0 ['batch_normalization_196[0][0]']\n",
" 192) \n",
" \n",
" conv2d_197 (Conv2D) (None, None, None, 129024 ['activation_196[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_197 (Batch (None, None, None, 672 ['conv2d_197[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_197 (Activation) (None, None, None, 0 ['batch_normalization_197[0][0]']\n",
" 224) \n",
" \n",
" conv2d_195 (Conv2D) (None, None, None, 399360 ['block8_8_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_198 (Conv2D) (None, None, None, 172032 ['activation_197[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_195 (Batch (None, None, None, 576 ['conv2d_195[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_198 (Batch (None, None, None, 768 ['conv2d_198[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_195 (Activation) (None, None, None, 0 ['batch_normalization_195[0][0]']\n",
" 192) \n",
" \n",
" activation_198 (Activation) (None, None, None, 0 ['batch_normalization_198[0][0]']\n",
" 256) \n",
" \n",
" block8_9_mixed (Concatenate) (None, None, None, 0 ['activation_195[0][0]', \n",
" 448) 'activation_198[0][0]'] \n",
" \n",
" block8_9_conv (Conv2D) (None, None, None, 933920 ['block8_9_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_9 (Lambda) (None, None, None, 0 ['block8_8_ac[0][0]', \n",
" 2080) 'block8_9_conv[0][0]'] \n",
" \n",
" block8_9_ac (Activation) (None, None, None, 0 ['block8_9[0][0]'] \n",
" 2080) \n",
" \n",
" conv2d_200 (Conv2D) (None, None, None, 399360 ['block8_9_ac[0][0]'] \n",
" 192) \n",
" \n",
" batch_normalization_200 (Batch (None, None, None, 576 ['conv2d_200[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" activation_200 (Activation) (None, None, None, 0 ['batch_normalization_200[0][0]']\n",
" 192) \n",
" \n",
" conv2d_201 (Conv2D) (None, None, None, 129024 ['activation_200[0][0]'] \n",
" 224) \n",
" \n",
" batch_normalization_201 (Batch (None, None, None, 672 ['conv2d_201[0][0]'] \n",
" Normalization) 224) \n",
" \n",
" activation_201 (Activation) (None, None, None, 0 ['batch_normalization_201[0][0]']\n",
" 224) \n",
" \n",
" conv2d_199 (Conv2D) (None, None, None, 399360 ['block8_9_ac[0][0]'] \n",
" 192) \n",
" \n",
" conv2d_202 (Conv2D) (None, None, None, 172032 ['activation_201[0][0]'] \n",
" 256) \n",
" \n",
" batch_normalization_199 (Batch (None, None, None, 576 ['conv2d_199[0][0]'] \n",
" Normalization) 192) \n",
" \n",
" batch_normalization_202 (Batch (None, None, None, 768 ['conv2d_202[0][0]'] \n",
" Normalization) 256) \n",
" \n",
" activation_199 (Activation) (None, None, None, 0 ['batch_normalization_199[0][0]']\n",
" 192) \n",
" \n",
" activation_202 (Activation) (None, None, None, 0 ['batch_normalization_202[0][0]']\n",
" 256) \n",
" \n",
" block8_10_mixed (Concatenate) (None, None, None, 0 ['activation_199[0][0]', \n",
" 448) 'activation_202[0][0]'] \n",
" \n",
" block8_10_conv (Conv2D) (None, None, None, 933920 ['block8_10_mixed[0][0]'] \n",
" 2080) \n",
" \n",
" block8_10 (Lambda) (None, None, None, 0 ['block8_9_ac[0][0]', \n",
" 2080) 'block8_10_conv[0][0]'] \n",
" \n",
" conv_7b (Conv2D) (None, None, None, 3194880 ['block8_10[0][0]'] \n",
" 1536) \n",
" \n",
" conv_7b_bn (BatchNormalization (None, None, None, 4608 ['conv_7b[0][0]'] \n",
" ) 1536) \n",
" \n",
" conv_7b_ac (Activation) (None, None, None, 0 ['conv_7b_bn[0][0]'] \n",
" 1536) \n",
" \n",
" global_average_pooling2d (Glob (None, 1536) 0 ['conv_7b_ac[0][0]'] \n",
" alAveragePooling2D) \n",
" \n",
included option for variable range of images per listing
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" dense (Dense) (None, 7) 10759 ['global_average_pooling2d[0][0]'\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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" ] \n",
" \n",
"==================================================================================================\n",
included option for variable range of images per listing
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"Total params: 54,347,495\n",
"Trainable params: 54,286,951\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Non-trainable params: 60,544\n",
"__________________________________________________________________________________________________\n"
]
}
],
"source": [
"for layer in base_model.layers:\n",
" layer.trainable = True\n",
" \n",
included option for variable range of images per listing
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"output = Dense(7, activation='softmax')(base_model.output)\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"model = tf.keras.Model(base_model.input, output)\n",
"#model = add_regularization(model)\n",
"model.summary()\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "ea620129",
"metadata": {},
"outputs": [],
"source": [
"#model.add(Dropout(.5))\n",
"#model.add(Dense(64, activation='softmax'))\n",
"# model.add(Dropout(.25))\n",
"#model = add_regularization(model)\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "fd5d1246",
"metadata": {},
"outputs": [],
"source": [
"model.compile(optimizer=Adam(learning_rate=.0001), loss='categorical_crossentropy',\n",
" metrics=['accuracy'])\n",
"# sparse_categorical_crossentropy"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9cd2ba27",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 65s 390ms/step - loss: 1.0030 - accuracy: 0.6427 - val_loss: 2.1331 - val_accuracy: 0.1620\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 2/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 51s 365ms/step - loss: 0.3751 - accuracy: 0.8756 - val_loss: 1.7818 - val_accuracy: 0.4707\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 3/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 50s 359ms/step - loss: 0.1193 - accuracy: 0.9622 - val_loss: 1.5616 - val_accuracy: 0.6166\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 4/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 51s 363ms/step - loss: 0.0830 - accuracy: 0.9750 - val_loss: 1.3374 - val_accuracy: 0.6922\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 5/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 50s 360ms/step - loss: 0.0609 - accuracy: 0.9815 - val_loss: 1.3717 - val_accuracy: 0.6976\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 6/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 51s 366ms/step - loss: 0.0593 - accuracy: 0.9818 - val_loss: 1.2600 - val_accuracy: 0.7192\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 7/30\n",
included option for variable range of images per listing
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"139/139 [==============================] - 51s 363ms/step - loss: 0.0468 - accuracy: 0.9860 - val_loss: 1.1707 - val_accuracy: 0.7264\n",
commit before checkout 428e0379efc3cff3f85154e42ed544a5f982ade3 for ref
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"Epoch 8/30\n",
included option for variable range of images per listing
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" 89/139 [==================>...........] - ETA: 14s - loss: 0.0309 - accuracy: 0.9905"
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]
}
],
"source": [
"model.fit(x=train_generator,\n",
" steps_per_epoch=len(train_generator),\n",
" validation_data=validation_generator,\n",
" validation_steps=len(validation_generator),\n",
" epochs=30,\n",
" verbose=1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "63f791af",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Reference in New Issue Copy Permalink