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Function max_pool

model.py:59–61  ·  view source on GitHub ↗
(x, ksize=(2, 2), stride=(2, 2))

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57
58
59def max_pool(x, ksize=(2, 2), stride=(2, 2)):
60 return tf.nn.max_pool(x, ksize=[1, ksize[0], ksize[1], 1],
61 strides=[1, stride[0], stride[1], 1], padding='SAME')
62
63
64def avg_pool(x, ksize=(2, 2), stride=(2, 2)):

Callers 1

convolutional_layersFunction · 0.85

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