Merge pull request #28166 from v1incent:master
PiperOrigin-RevId: 246537115
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d2a9f51028
@ -346,7 +346,7 @@ we can both ensure that each layer uses the same values and simplify the code:
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with slim.arg_scope([slim.conv2d], padding='SAME',
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weights_initializer=tf.truncated_normal_initializer(stddev=0.01)
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weights_regularizer=slim.l2_regularizer(0.0005)):
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net = slim.conv2d(inputs, 64, [11, 11], scope='conv1')
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net = slim.conv2d(inputs, 64, [11, 11], 4, scope='conv1')
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net = slim.conv2d(net, 128, [11, 11], padding='VALID', scope='conv2')
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net = slim.conv2d(net, 256, [11, 11], scope='conv3')
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```
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