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Last active January 16, 2018 06:04
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NTU Machine Learning 2017 Fall - Assignment 3
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"import os\n",
"import shutil\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import keras\n",
"import keras.backend as K\n",
"import tensorflow as tf\n",
"\n",
"from keras import layers\n",
"from keras.models import Model, Sequential\n",
"from keras.regularizers import l2\n",
"from keras.layers import Input, Dense, Dropout, Flatten, Activation, Reshape\n",
"from keras.layers import BatchNormalization\n",
"from keras.layers.convolutional import Conv2D, ZeroPadding2D, SeparableConv2D\n",
"from keras.layers.pooling import MaxPooling2D, AveragePooling2D, GlobalAveragePooling2D\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.callbacks import CSVLogger, ModelCheckpoint, EarlyStopping\n",
"from keras.callbacks import ReduceLROnPlateau, TensorBoard\n",
"from sklearn.model_selection import train_test_split"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Read data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"TRAIN_FILE = './data/train.csv'\n",
"TEST_FILE = './data/test.csv'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def read_data(filename):\n",
" c1 = []\n",
" data = []\n",
" with open(filename, 'r') as f:\n",
" f.readline()\n",
" for line in f:\n",
" i, pixels = line.strip().split(',', 1)\n",
" pixels = np.fromstring(pixels, sep=' ', dtype=np.float)\n",
" c1.append(i)\n",
" data.append(pixels)\n",
" return c1, np.vstack(data)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"img_w = 48\n",
"y_train, x_train = read_data(TRAIN_FILE)\n",
"y_train = np.array(y_train).astype('int')\n",
"x_train = x_train.reshape(-1, img_w, img_w)\n",
"num_classes = len(np.unique(y_train))\n",
"\n",
"test_ids, x_test = read_data(TEST_FILE)\n",
"x_test = x_test.reshape(-1, img_w, img_w)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"sample_ids = np.arange(len(x_train))\n",
"np.random.shuffle(sample_ids)\n",
"sample_ids = sample_ids[:100]\n",
"sample_imgs = (x_train[sample_ids]\n",
" .reshape(10, 10, img_w, img_w)\n",
" .swapaxes(1, 2)\n",
" .reshape(10 * img_w, 10 * img_w))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f7328d981d0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7329220550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(8, 8))\n",
"plt.imshow(sample_imgs, cmap=plt.cm.gray)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"x_train = np.expand_dims(x_train, axis=-1)\n",
"y_train = np.expand_dims(y_train, axis=-1)\n",
"x_test = np.expand_dims(x_test, axis=-1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Build Convolution Neural Network"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"def simple_cnn():\n",
" input_img = Input(shape=(48, 48, 1))\n",
" \n",
" block1 = Conv2D(64, (5, 5), padding='valid', activation='relu')(input_img)\n",
" block1 = MaxPooling2D(pool_size=(5, 5), padding='same', strides=(2, 2))(block1)\n",
"\n",
" block2 = Conv2D(64, (3, 3), padding='same', activation='relu')(block1)\n",
"\n",
" block3 = Conv2D(64, (3, 3), padding='same', activation='relu')(block2)\n",
" block3 = AveragePooling2D(pool_size=(3, 3), strides=(2, 2))(block3)\n",
"\n",
" block4 = Conv2D(128, (3, 3), padding='same', activation='relu')(block3)\n",
"\n",
" block5 = Conv2D(128, (3, 3), padding='same', activation='relu')(block4)\n",
" block5 = AveragePooling2D(pool_size=(3, 3), padding='same', strides=(2, 2))(block5)\n",
" block5 = Flatten()(block5)\n",
"\n",
" fc1 = Dense(1024, activation='relu')(block5)\n",
" fc1 = Dropout(0.2)(fc1)\n",
"\n",
" fc2 = Dense(1024, activation='relu')(fc1)\n",
" fc2 = Dropout(0.2)(fc2)\n",
"\n",
" predict = Dense(7)(fc2)\n",
" predict = Activation('softmax')(predict)\n",
" model = Model(inputs=input_img, outputs=predict)\n",
" return model"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def xception(input_shape, num_classes):\n",
" img_input = Input(input_shape)\n",
" regularizer = l2(0.01)\n",
" \n",
" ##### entry flow #######\n",
" x = Conv2D(32, (3, 3), strides=(2, 2), use_bias=False, kernel_regularizer=regularizer)(img_input)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = Conv2D(64, (3, 3), use_bias=False, kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" \n",
" residual = Conv2D(128, (1, 1), strides=(2, 2), use_bias=False, padding='same')(x)\n",
" residual = BatchNormalization()(residual)\n",
" x = SeparableConv2D(128, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(128, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x)\n",
" x = layers.add([x, residual])\n",
" \n",
" residual = Conv2D(256, (1, 1), strides=(2, 2), use_bias=False, padding='same')(x)\n",
" residual = BatchNormalization()(residual)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(256, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(256, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x)\n",
" x = layers.add([x, residual])\n",
" \n",
" residual = Conv2D(384, (1, 1), strides=(2, 2), use_bias=False, padding='same')(x)\n",
" residual = BatchNormalization()(residual)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(384, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(384, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x)\n",
" x = layers.add([x, residual])\n",
" ##### entry flow #######\n",
" \n",
" ##### middle flow #######\n",
" for i in range(3):\n",
" residual = x\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(384, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(384, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(384, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = layers.add([x, residual])\n",
" ##### middle flow #######\n",
" \n",
" ##### exit flow #######\n",
" residual = Conv2D(512, (1, 1), strides=(2, 2), use_bias=False, padding='same')(x)\n",
" residual = BatchNormalization()(residual)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(384, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = Activation('relu')(x)\n",
" x = SeparableConv2D(512, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x)\n",
" x = layers.add([x, residual])\n",
" \n",
" x = SeparableConv2D(768, (3, 3), use_bias=False, padding='same', kernel_regularizer=regularizer)(x)\n",
" x = BatchNormalization()(x)\n",
" ##### exit flow #######\n",
" \n",
" x = Conv2D(num_classes, (3, 3), padding='same', kernel_regularizer=regularizer)(x)\n",
" x = GlobalAveragePooling2D()(x)\n",
" output = Activation('softmax')(x)\n",
" \n",
" return Model(img_input, output)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"K.clear_session()\n",
"model = xception(input_shape=x_train.shape[1:], num_classes=num_classes)\n",
"model.name = 'xception_with_middle_exit_flow'\n",
"model.compile(loss='sparse_categorical_crossentropy', \n",
" optimizer='adam', \n",
" metrics=['accuracy'])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"log_dir = './logs'\n",
"epochs = 500\n",
"patience = 50\n",
"os.makedirs(log_dir, exist_ok=True)\n",
"log_dir = os.path.join(log_dir, model.name)\n",
"shutil.rmtree(log_dir, ignore_errors=True)\n",
"os.makedirs(log_dir)\n",
"\n",
"csv_logger = CSVLogger(os.path.join(log_dir, 'training.log'), append=False)\n",
"early_stop = EarlyStopping('val_loss', patience=patience)\n",
"reduce_lr = ReduceLROnPlateau('val_loss', factor=0.1,\n",
" patience=int(patience/4), verbose=1)\n",
"model_names = os.path.join(log_dir, model.name) + '.{epoch:02d}-{val_acc:.2f}.hdf5'\n",
"model_checkpoint = ModelCheckpoint(model_names, \n",
" 'val_loss', verbose=1,\n",
" save_best_only=True)\n",
"tensorboard = TensorBoard(log_dir=log_dir)\n",
"callbacks = [model_checkpoint, csv_logger, early_stop, reduce_lr, tensorboard]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"data_generator = ImageDataGenerator(\n",
" featurewise_center=False,\n",
" featurewise_std_normalization=False,\n",
" rotation_range=15,\n",
" width_shift_range=0.15,\n",
" height_shift_range=0.15,\n",
" zoom_range=.15,\n",
" horizontal_flip=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"tr_x, va_x, tr_y, va_y = train_test_split(x_train, y_train, test_size=0.1)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 2.0412 - acc: 0.3062Epoch 00001: val_loss improved from inf to 1.99152, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.01-0.19.hdf5\n",
"403/403 [==============================] - 22s 55ms/step - loss: 2.0406 - acc: 0.3064 - val_loss: 1.9915 - val_acc: 0.1923\n",
"Epoch 2/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.5958 - acc: 0.4144Epoch 00002: val_loss improved from 1.99152 to 1.96402, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.02-0.22.hdf5\n",
"403/403 [==============================] - 18s 45ms/step - loss: 1.5956 - acc: 0.4145 - val_loss: 1.9640 - val_acc: 0.2226\n",
"Epoch 3/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.4554 - acc: 0.4701Epoch 00003: val_loss improved from 1.96402 to 1.59080, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.03-0.42.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.4554 - acc: 0.4702 - val_loss: 1.5908 - val_acc: 0.4166\n",
"Epoch 4/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.3919 - acc: 0.4931Epoch 00004: val_loss improved from 1.59080 to 1.50054, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.04-0.46.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.3917 - acc: 0.4931 - val_loss: 1.5005 - val_acc: 0.4584\n",
"Epoch 5/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.3510 - acc: 0.5135Epoch 00005: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.3513 - acc: 0.5133 - val_loss: 1.6394 - val_acc: 0.3873\n",
"Epoch 6/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.3078 - acc: 0.5275Epoch 00006: val_loss improved from 1.50054 to 1.29409, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.06-0.53.hdf5\n",
"403/403 [==============================] - 18s 45ms/step - loss: 1.3079 - acc: 0.5275 - val_loss: 1.2941 - val_acc: 0.5270\n",
"Epoch 7/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.2811 - acc: 0.5417Epoch 00007: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.2811 - acc: 0.5417 - val_loss: 1.3819 - val_acc: 0.5064\n",
"Epoch 8/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.2653 - acc: 0.5438Epoch 00008: val_loss improved from 1.29409 to 1.29175, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.08-0.55.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.2647 - acc: 0.5440 - val_loss: 1.2917 - val_acc: 0.5472\n",
"Epoch 9/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.2414 - acc: 0.5523Epoch 00009: val_loss improved from 1.29175 to 1.23657, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.09-0.56.hdf5\n",
"403/403 [==============================] - 18s 45ms/step - loss: 1.2410 - acc: 0.5524 - val_loss: 1.2366 - val_acc: 0.5632\n",
"Epoch 10/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.2219 - acc: 0.5640Epoch 00010: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.2219 - acc: 0.5640 - val_loss: 1.3407 - val_acc: 0.5117\n",
"Epoch 11/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.2106 - acc: 0.5702Epoch 00011: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.2112 - acc: 0.5696 - val_loss: 1.4579 - val_acc: 0.4434\n",
"Epoch 12/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.1847 - acc: 0.5763Epoch 00012: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.1848 - acc: 0.5763 - val_loss: 1.4767 - val_acc: 0.4866\n",
"Epoch 13/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.2049 - acc: 0.5692Epoch 00013: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.2046 - acc: 0.5693 - val_loss: 1.2794 - val_acc: 0.5451\n",
"Epoch 14/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.1683 - acc: 0.5833Epoch 00014: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.1686 - acc: 0.5831 - val_loss: 1.2774 - val_acc: 0.5399\n",
"Epoch 15/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.1431 - acc: 0.5916Epoch 00015: val_loss improved from 1.23657 to 1.18859, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.15-0.58.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.1428 - acc: 0.5919 - val_loss: 1.1886 - val_acc: 0.5754\n",
"Epoch 16/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.1622 - acc: 0.5875Epoch 00016: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.1620 - acc: 0.5876 - val_loss: 1.3879 - val_acc: 0.5152\n",
"Epoch 17/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.1366 - acc: 0.5955Epoch 00017: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 1.1370 - acc: 0.5955 - val_loss: 1.2418 - val_acc: 0.5615\n",
"Epoch 18/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.1053 - acc: 0.6034Epoch 00018: val_loss improved from 1.18859 to 1.13778, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.18-0.59.hdf5\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.1053 - acc: 0.6032 - val_loss: 1.1378 - val_acc: 0.5893\n",
"Epoch 19/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0924 - acc: 0.6085Epoch 00019: val_loss improved from 1.13778 to 1.11317, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.19-0.61.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0924 - acc: 0.6085 - val_loss: 1.1132 - val_acc: 0.6075\n",
"Epoch 20/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0779 - acc: 0.6161Epoch 00020: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0778 - acc: 0.6162 - val_loss: 1.3336 - val_acc: 0.5305\n",
"Epoch 21/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.0739 - acc: 0.6182Epoch 00021: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.0745 - acc: 0.6180 - val_loss: 1.1355 - val_acc: 0.5984\n",
"Epoch 22/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0705 - acc: 0.6135Epoch 00022: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0701 - acc: 0.6137 - val_loss: 1.2239 - val_acc: 0.5873\n",
"Epoch 23/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0568 - acc: 0.6214Epoch 00023: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.0569 - acc: 0.6214 - val_loss: 1.1648 - val_acc: 0.5789\n",
"Epoch 24/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0481 - acc: 0.6249Epoch 00024: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0480 - acc: 0.6249 - val_loss: 1.2515 - val_acc: 0.5472\n",
"Epoch 25/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0474 - acc: 0.6236Epoch 00025: val_loss did not improve\n",
"403/403 [==============================] - 18s 43ms/step - loss: 1.0472 - acc: 0.6235 - val_loss: 1.1502 - val_acc: 0.5942\n",
"Epoch 26/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.0303 - acc: 0.6269Epoch 00026: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0308 - acc: 0.6269 - val_loss: 1.2193 - val_acc: 0.5785\n",
"Epoch 27/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0240 - acc: 0.6325Epoch 00027: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0235 - acc: 0.6326 - val_loss: 1.3062 - val_acc: 0.5364\n",
"Epoch 28/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 1.0188 - acc: 0.6366Epoch 00028: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 1.0189 - acc: 0.6365 - val_loss: 1.1229 - val_acc: 0.5991\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 29/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.0085 - acc: 0.6389Epoch 00029: val_loss improved from 1.11317 to 1.08223, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.29-0.61.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0082 - acc: 0.6389 - val_loss: 1.0822 - val_acc: 0.6082\n",
"Epoch 30/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 1.0009 - acc: 0.6424Epoch 00030: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 1.0010 - acc: 0.6423 - val_loss: 1.4418 - val_acc: 0.4626\n",
"Epoch 31/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.9956 - acc: 0.6460Epoch 00031: val_loss did not improve\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.9956 - acc: 0.6461 - val_loss: 1.1044 - val_acc: 0.6082\n",
"Epoch 32/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9857 - acc: 0.6503Epoch 00032: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.9860 - acc: 0.6505 - val_loss: 1.1583 - val_acc: 0.5848\n",
"Epoch 33/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.9788 - acc: 0.6508Epoch 00033: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.9792 - acc: 0.6508 - val_loss: 1.2122 - val_acc: 0.5744\n",
"Epoch 34/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9665 - acc: 0.6584Epoch 00034: val_loss improved from 1.08223 to 1.04113, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.34-0.63.hdf5\n",
"403/403 [==============================] - 19s 46ms/step - loss: 0.9662 - acc: 0.6585 - val_loss: 1.0411 - val_acc: 0.6301\n",
"Epoch 35/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9674 - acc: 0.6545Epoch 00035: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.9672 - acc: 0.6549 - val_loss: 1.2729 - val_acc: 0.5486\n",
"Epoch 36/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9617 - acc: 0.6609Epoch 00036: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.9619 - acc: 0.6608 - val_loss: 1.0587 - val_acc: 0.6270\n",
"Epoch 37/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9550 - acc: 0.6638Epoch 00037: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.9553 - acc: 0.6639 - val_loss: 1.1217 - val_acc: 0.5984\n",
"Epoch 38/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.9408 - acc: 0.6661Epoch 00038: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.9409 - acc: 0.6661 - val_loss: 1.3498 - val_acc: 0.5273\n",
"Epoch 39/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9447 - acc: 0.6592Epoch 00039: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.9447 - acc: 0.6592 - val_loss: 1.1749 - val_acc: 0.5859\n",
"Epoch 40/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9234 - acc: 0.6715Epoch 00040: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.9239 - acc: 0.6713 - val_loss: 1.2040 - val_acc: 0.5782\n",
"Epoch 41/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.9255 - acc: 0.6706Epoch 00041: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 0.9257 - acc: 0.6705 - val_loss: 1.1840 - val_acc: 0.5845\n",
"Epoch 42/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9184 - acc: 0.6720Epoch 00042: val_loss improved from 1.04113 to 1.01620, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.42-0.65.hdf5\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.9179 - acc: 0.6721 - val_loss: 1.0162 - val_acc: 0.6461\n",
"Epoch 43/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.9087 - acc: 0.6761Epoch 00043: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.9085 - acc: 0.6761 - val_loss: 1.1067 - val_acc: 0.6054\n",
"Epoch 44/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.9012 - acc: 0.6824Epoch 00044: val_loss did not improve\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.9015 - acc: 0.6823 - val_loss: 1.1092 - val_acc: 0.5987\n",
"Epoch 45/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.8890 - acc: 0.6811Epoch 00045: val_loss did not improve\n",
"403/403 [==============================] - 17s 41ms/step - loss: 0.8893 - acc: 0.6809 - val_loss: 1.0441 - val_acc: 0.6520\n",
"Epoch 46/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.8850 - acc: 0.6882Epoch 00046: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8851 - acc: 0.6881 - val_loss: 1.3296 - val_acc: 0.5381\n",
"Epoch 47/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.8829 - acc: 0.6872Epoch 00047: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8831 - acc: 0.6870 - val_loss: 1.0174 - val_acc: 0.6381\n",
"Epoch 48/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.8721 - acc: 0.6958Epoch 00048: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8722 - acc: 0.6957 - val_loss: 1.1927 - val_acc: 0.5810\n",
"Epoch 49/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.8722 - acc: 0.6895Epoch 00049: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.8720 - acc: 0.6896 - val_loss: 1.0770 - val_acc: 0.6263\n",
"Epoch 50/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.8610 - acc: 0.6944Epoch 00050: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8616 - acc: 0.6943 - val_loss: 1.0659 - val_acc: 0.6353\n",
"Epoch 51/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.8543 - acc: 0.6984Epoch 00051: val_loss did not improve\n",
"403/403 [==============================] - 18s 43ms/step - loss: 0.8546 - acc: 0.6983 - val_loss: 1.1488 - val_acc: 0.6068\n",
"Epoch 52/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.8461 - acc: 0.7025Epoch 00052: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8458 - acc: 0.7026 - val_loss: 1.1444 - val_acc: 0.6057\n",
"Epoch 53/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.8435 - acc: 0.7013Epoch 00053: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8433 - acc: 0.7015 - val_loss: 1.0579 - val_acc: 0.6308\n",
"Epoch 54/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.8283 - acc: 0.7077Epoch 00054: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.8286 - acc: 0.7076 - val_loss: 1.0701 - val_acc: 0.6388\n",
"Epoch 55/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.8323 - acc: 0.7062Epoch 00055: val_loss did not improve\n",
"\n",
"Epoch 00055: reducing learning rate to 0.00010000000474974513.\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.8327 - acc: 0.7061 - val_loss: 1.1114 - val_acc: 0.6148\n",
"Epoch 56/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.7548 - acc: 0.7366Epoch 00056: val_loss improved from 1.01620 to 0.95196, saving model to ./logs/xception_with_middle_exit_flow/xception_with_middle_exit_flow.56-0.68.hdf5\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.7546 - acc: 0.7365 - val_loss: 0.9520 - val_acc: 0.6823\n",
"Epoch 57/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.7171 - acc: 0.7526Epoch 00057: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 0.7163 - acc: 0.7531 - val_loss: 0.9690 - val_acc: 0.6796\n",
"Epoch 58/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6985 - acc: 0.7566Epoch 00058: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6986 - acc: 0.7566 - val_loss: 0.9720 - val_acc: 0.6757\n",
"Epoch 59/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6844 - acc: 0.7639Epoch 00059: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6844 - acc: 0.7639 - val_loss: 0.9730 - val_acc: 0.6757\n",
"Epoch 60/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6676 - acc: 0.7688Epoch 00060: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6679 - acc: 0.7688 - val_loss: 0.9814 - val_acc: 0.6809\n",
"Epoch 61/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.6632 - acc: 0.7688Epoch 00061: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.6627 - acc: 0.7688 - val_loss: 0.9955 - val_acc: 0.6792\n",
"Epoch 62/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.6582 - acc: 0.7725Epoch 00062: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.6582 - acc: 0.7723 - val_loss: 0.9868 - val_acc: 0.6778\n",
"Epoch 63/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6456 - acc: 0.7752Epoch 00063: val_loss did not improve\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.6454 - acc: 0.7752 - val_loss: 0.9949 - val_acc: 0.6796\n",
"Epoch 64/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.6429 - acc: 0.7769Epoch 00064: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.6433 - acc: 0.7768 - val_loss: 0.9980 - val_acc: 0.6726\n",
"Epoch 65/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6393 - acc: 0.7769Epoch 00065: val_loss did not improve\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.6395 - acc: 0.7769 - val_loss: 0.9998 - val_acc: 0.6715\n",
"Epoch 66/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6291 - acc: 0.7820Epoch 00066: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6290 - acc: 0.7822 - val_loss: 0.9985 - val_acc: 0.6705\n",
"Epoch 67/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6290 - acc: 0.7828Epoch 00067: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.6289 - acc: 0.7827 - val_loss: 0.9922 - val_acc: 0.6778\n",
"Epoch 68/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6216 - acc: 0.7841Epoch 00068: val_loss did not improve\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.6216 - acc: 0.7841 - val_loss: 1.0154 - val_acc: 0.6722\n",
"Epoch 69/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.6215 - acc: 0.7858Epoch 00069: val_loss did not improve\n",
"\n",
"Epoch 00069: reducing learning rate to 1.0000000474974514e-05.\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6216 - acc: 0.7859 - val_loss: 1.0108 - val_acc: 0.6740\n",
"Epoch 70/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.6037 - acc: 0.7899Epoch 00070: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6040 - acc: 0.7897 - val_loss: 1.0016 - val_acc: 0.6823\n",
"Epoch 71/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6018 - acc: 0.7908Epoch 00071: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6017 - acc: 0.7908 - val_loss: 1.0014 - val_acc: 0.6841\n",
"Epoch 72/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5944 - acc: 0.7959Epoch 00072: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 0.5946 - acc: 0.7958 - val_loss: 0.9977 - val_acc: 0.6837\n",
"Epoch 73/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5927 - acc: 0.7982Epoch 00073: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5928 - acc: 0.7982 - val_loss: 1.0012 - val_acc: 0.6813\n",
"Epoch 74/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6043 - acc: 0.7907Epoch 00074: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.6041 - acc: 0.7908 - val_loss: 1.0012 - val_acc: 0.6823\n",
"Epoch 75/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5930 - acc: 0.7926Epoch 00075: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 0.5927 - acc: 0.7928 - val_loss: 1.0042 - val_acc: 0.6823\n",
"Epoch 76/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.6003 - acc: 0.7923Epoch 00076: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.6004 - acc: 0.7923 - val_loss: 1.0048 - val_acc: 0.6820\n",
"Epoch 77/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5961 - acc: 0.7921Epoch 00077: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5957 - acc: 0.7923 - val_loss: 1.0026 - val_acc: 0.6830\n",
"Epoch 78/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5951 - acc: 0.7933Epoch 00078: val_loss did not improve\n",
"403/403 [==============================] - 17s 41ms/step - loss: 0.5948 - acc: 0.7933 - val_loss: 1.0024 - val_acc: 0.6841\n",
"Epoch 79/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5929 - acc: 0.7941Epoch 00079: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5927 - acc: 0.7942 - val_loss: 1.0048 - val_acc: 0.6844\n",
"Epoch 80/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5907 - acc: 0.7951Epoch 00080: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5911 - acc: 0.7949 - val_loss: 1.0057 - val_acc: 0.6848\n",
"Epoch 81/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.6016 - acc: 0.7918Epoch 00081: val_loss did not improve\n",
"\n",
"Epoch 00081: reducing learning rate to 1.0000000656873453e-06.\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.6015 - acc: 0.7917 - val_loss: 1.0060 - val_acc: 0.6830\n",
"Epoch 82/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5922 - acc: 0.7934Epoch 00082: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 0.5919 - acc: 0.7936 - val_loss: 1.0065 - val_acc: 0.6796\n",
"Epoch 83/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5921 - acc: 0.7943Epoch 00083: val_loss did not improve\n",
"403/403 [==============================] - 18s 45ms/step - loss: 0.5925 - acc: 0.7942 - val_loss: 1.0042 - val_acc: 0.6803\n",
"Epoch 84/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5922 - acc: 0.7942Epoch 00084: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5923 - acc: 0.7943 - val_loss: 1.0066 - val_acc: 0.6806\n",
"Epoch 85/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5894 - acc: 0.7944Epoch 00085: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5893 - acc: 0.7945 - val_loss: 1.0047 - val_acc: 0.6820\n",
"Epoch 86/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5930 - acc: 0.7930Epoch 00086: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5934 - acc: 0.7928 - val_loss: 1.0058 - val_acc: 0.6816\n",
"Epoch 87/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5904 - acc: 0.7975Epoch 00087: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5900 - acc: 0.7977 - val_loss: 1.0061 - val_acc: 0.6806\n",
"Epoch 88/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5912 - acc: 0.7958Epoch 00088: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5911 - acc: 0.7958 - val_loss: 1.0070 - val_acc: 0.6813\n",
"Epoch 89/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5938 - acc: 0.7937Epoch 00089: val_loss did not improve\n",
"403/403 [==============================] - 18s 43ms/step - loss: 0.5944 - acc: 0.7935 - val_loss: 1.0063 - val_acc: 0.6806\n",
"Epoch 90/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5873 - acc: 0.7979Epoch 00090: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5875 - acc: 0.7978 - val_loss: 1.0051 - val_acc: 0.6816\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 91/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5977 - acc: 0.7939Epoch 00091: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5979 - acc: 0.7938 - val_loss: 1.0063 - val_acc: 0.6820\n",
"Epoch 92/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5900 - acc: 0.7952Epoch 00092: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5902 - acc: 0.7950 - val_loss: 1.0051 - val_acc: 0.6799\n",
"Epoch 93/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5923 - acc: 0.7942Epoch 00093: val_loss did not improve\n",
"\n",
"Epoch 00093: reducing learning rate to 1.0000001111620805e-07.\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5919 - acc: 0.7944 - val_loss: 1.0059 - val_acc: 0.6792\n",
"Epoch 94/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5946 - acc: 0.7933Epoch 00094: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5951 - acc: 0.7931 - val_loss: 1.0073 - val_acc: 0.6809\n",
"Epoch 95/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5890 - acc: 0.7946Epoch 00095: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5889 - acc: 0.7947 - val_loss: 1.0050 - val_acc: 0.6813\n",
"Epoch 96/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5828 - acc: 0.7979Epoch 00096: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5827 - acc: 0.7979 - val_loss: 1.0061 - val_acc: 0.6823\n",
"Epoch 97/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5937 - acc: 0.7959Epoch 00097: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5938 - acc: 0.7958 - val_loss: 1.0054 - val_acc: 0.6813\n",
"Epoch 98/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5985 - acc: 0.7926Epoch 00098: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5984 - acc: 0.7925 - val_loss: 1.0064 - val_acc: 0.6799\n",
"Epoch 99/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5812 - acc: 0.8001Epoch 00099: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5815 - acc: 0.8000 - val_loss: 1.0060 - val_acc: 0.6806\n",
"Epoch 100/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5866 - acc: 0.7949Epoch 00100: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5865 - acc: 0.7950 - val_loss: 1.0064 - val_acc: 0.6823\n",
"Epoch 101/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5893 - acc: 0.7923Epoch 00101: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5897 - acc: 0.7920 - val_loss: 1.0075 - val_acc: 0.6820\n",
"Epoch 102/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5936 - acc: 0.7932Epoch 00102: val_loss did not improve\n",
"403/403 [==============================] - 18s 44ms/step - loss: 0.5938 - acc: 0.7933 - val_loss: 1.0057 - val_acc: 0.6813\n",
"Epoch 103/500\n",
"401/403 [============================>.] - ETA: 0s - loss: 0.5793 - acc: 0.7989Epoch 00103: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5791 - acc: 0.7989 - val_loss: 1.0054 - val_acc: 0.6820\n",
"Epoch 104/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5894 - acc: 0.7941Epoch 00104: val_loss did not improve\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.5895 - acc: 0.7939 - val_loss: 1.0058 - val_acc: 0.6806\n",
"Epoch 105/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5947 - acc: 0.7950Epoch 00105: val_loss did not improve\n",
"\n",
"Epoch 00105: reducing learning rate to 1.000000082740371e-08.\n",
"403/403 [==============================] - 17s 42ms/step - loss: 0.5946 - acc: 0.7950 - val_loss: 1.0067 - val_acc: 0.6813\n",
"Epoch 106/500\n",
"402/403 [============================>.] - ETA: 0s - loss: 0.5926 - acc: 0.7963Epoch 00106: val_loss did not improve\n",
"403/403 [==============================] - 17s 43ms/step - loss: 0.5928 - acc: 0.7962 - val_loss: 1.0056 - val_acc: 0.6809\n"
]
},
{
"data": {
"text/plain": [
"<keras.callbacks.History at 0x7f0d29d9b940>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.fit_generator(\n",
" data_generator.flow(tr_x, tr_y, batch_size=64), \n",
" steps_per_epoch=len(tr_x) // 64,\n",
" validation_data=(va_x, va_y),\n",
" epochs=epochs, \n",
" callbacks=callbacks\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Confusion matrix"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.metrics import confusion_matrix"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[3147, 22, 207, 34, 255, 35, 131],\n",
" [ 12, 385, 4, 1, 7, 3, 1],\n",
" [ 197, 8, 3049, 34, 310, 108, 118],\n",
" [ 72, 3, 66, 6856, 62, 76, 190],\n",
" [ 284, 10, 367, 45, 3673, 20, 293],\n",
" [ 38, 5, 170, 75, 24, 2899, 19],\n",
" [ 245, 3, 234, 170, 499, 30, 4213]])"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"confusion_matrix(model.predict(x_train).argmax(axis=1), y_train)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"def plot_conf_mat(cm, classes, title='Confusion matrix', cmap=plt.cm.jet):\n",
" \"\"\"\n",
" This function prints and plots the confusion matrix.\n",
" \"\"\"\n",
" cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
" plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
" plt.title(title)\n",
" plt.colorbar()\n",
" tick_marks = np.arange(len(classes))\n",
" plt.xticks(tick_marks, classes, rotation=45)\n",
" plt.yticks(tick_marks, classes)\n",
"\n",
" thresh = cm.max() / 2.\n",
" for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
" plt.text(j, i, '{:.2f}'.format(cm[i, j]), horizontalalignment=\"center\",\n",
" color=\"white\" if cm[i, j] > thresh else \"black\")\n",
" plt.tight_layout()\n",
" plt.ylabel('True label')\n",
" plt.xlabel('Predicted label')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f0bd1367940>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cm = confusion_matrix(model.predict(x_train).argmax(axis=1), y_train)\n",
"plot_conf_mat(cm, classes=[\"Angry\",\"Disgust\",\"Fear\",\"Happy\",\"Sad\",\"Surprise\",\"Neutral\"])"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7178/7178 [==============================] - 1s 113us/step\n"
]
}
],
"source": [
"preds = model.predict(x_test, batch_size=128, verbose=1)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"preds = np.argmax(preds, axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"submit_df = pd.DataFrame({\n",
" 'id': test_ids,\n",
" 'label': preds\n",
"})\n",
"submit_df.to_csv('submission.csv', index=False)"
]
}
],
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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