32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
from __future__ import absolute_import
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from keras.layers.core import Dense, Activation, Flatten
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from keras.layers.convolutional import Conv2D, ZeroPadding2D
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def layers(input_shape):
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return [
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ZeroPadding2D((2, 2), input_shape=input_shape, data_format='channels_first'),
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Conv2D(64, (5, 5), padding='valid', data_format='channels_first'),
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Activation('relu'),
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ZeroPadding2D((2, 2), data_format='channels_first'),
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Conv2D(64, (5, 5), data_format='channels_first'),
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Activation('relu'),
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ZeroPadding2D((1, 1), data_format='channels_first'),
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Conv2D(64, (3, 3), data_format='channels_first'),
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Activation('relu'),
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ZeroPadding2D((1, 1), data_format='channels_first'),
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Conv2D(64, (3, 3), data_format='channels_first'),
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Activation('relu'),
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ZeroPadding2D((1, 1), data_format='channels_first'),
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Conv2D(64, (3, 3), data_format='channels_first'),
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Activation('relu'),
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Flatten(),
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Dense(512),
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Activation('relu'),
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]
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