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@nzw0301
Created May 6, 2017 07:33
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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 numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import keras\n",
"from keras.datasets import cifar10\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.models import Sequential\n",
"from keras.layers import Dense, Activation, Flatten\n",
"from keras.layers import Conv2D, MaxPooling2D, BatchNormalization\n",
"import keras.backend as K\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"batch_size = 32\n",
"num_classes = 10\n",
"epochs = 100\n",
"data_augmentation = True"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"activations = {'cos': K.cos,\n",
" 'sin': K.sin,\n",
" 'relu': 'relu',\n",
" 'tanh': 'tanh',\n",
" 'sigmoid': 'sigmoid',\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n",
"x_train = x_train.astype('float32')\n",
"x_test = x_test.astype('float32')\n",
"x_train /= 255\n",
"x_test /= 255\n",
"\n",
"y_train = keras.utils.to_categorical(y_train, num_classes)\n",
"y_test = keras.utils.to_categorical(y_test, num_classes)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"datagen = ImageDataGenerator(\n",
" featurewise_center=False, # set input mean to 0 over the dataset\n",
" samplewise_center=False, # set each sample mean to 0\n",
" featurewise_std_normalization=False, # divide inputs by std of the dataset\n",
" samplewise_std_normalization=False, # divide each input by its std\n",
" zca_whitening=False, # apply ZCA whitening\n",
" rotation_range=0, # randomly rotate images in the range (degrees, 0 to 180)\n",
" width_shift_range=0.1, # randomly shift images horizontally (fraction of total width)\n",
" height_shift_range=0.1, # randomly shift images vertically (fraction of total height)\n",
" horizontal_flip=True, # randomly flip images\n",
" vertical_flip=False) # randomly flip images\n",
"\n",
"# Compute quantities required for feature-wise normalization\n",
"# (std, mean, and principal components if ZCA whitening is applied).\n",
"datagen.fit(x_train)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"res = {}\n",
"for name, activation in activations.items():\n",
" model = Sequential()\n",
"\n",
" model.add(Conv2D(32, (3, 3), padding='same',\n",
" input_shape=x_train.shape[1:]))\n",
" model.add(BatchNormalization())\n",
" model.add(Activation(activation=activation))\n",
" model.add(Conv2D(32, (3, 3)))\n",
" model.add(BatchNormalization())\n",
" model.add(Activation(activation=activation)) \n",
" model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"\n",
" model.add(Conv2D(64, (3, 3), padding='same'))\n",
" model.add(BatchNormalization())\n",
" model.add(Activation(activation=activation)) \n",
" model.add(Conv2D(64, (3, 3)))\n",
" model.add(BatchNormalization())\n",
" model.add(Activation(activation=activation)) \n",
" model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"\n",
"\n",
" model.add(Flatten())\n",
" model.add(Dense(512))\n",
" model.add(BatchNormalization())\n",
" model.add(Activation(activation=activation)) \n",
" model.add(Dense(num_classes))\n",
" model.add(Activation('softmax'))\n",
"\n",
" model.compile(loss='categorical_crossentropy',\n",
" optimizer='sgd',\n",
" metrics=['accuracy'])\n",
" res[name] = model.fit_generator(datagen.flow(x_train, y_train,\n",
" batch_size=batch_size),\n",
" steps_per_epoch=x_train.shape[0] // batch_size,\n",
" epochs=epochs,\n",
" validation_data=(x_test, y_test))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fef12cf80b8>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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lHR8kJrgTT1bE0ixyB6aLsVh16oTHhx9icHVnxGdb6HLxMI83MuDYvx82PXrc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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fef7ec3e278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = range(epochs)\n",
"for k, v in res.items():\n",
" plt.plot(x, v.history['val_acc'], label=k)\n",
"\n",
"plt.xlabel('epoch')\n",
"plt.ylabel('val acc')\n",
"plt.title('CIFAR10 acc')\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fef12a9d908>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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VWA+cKiKzRMQFfAh4Yrivl4oDh4tY2/FvgNDdmVma7CnVxRxo6yYQHt2bs1KK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"text/plain": [
"<matplotlib.figure.Figure at 0x7fef7ec3e080>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for k, v in res.items():\n",
" plt.plot(x, v.history['val_loss'], label=k)\n",
"\n",
"plt.xlabel('epoch')\n",
"plt.ylabel('val loss')\n",
"plt.title('CIFAR10 loss')\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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