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Merge pull request #28166 from v1incent:master

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TensorFlower Gardener 2019-05-03 11:39:30 -07:00
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tensorflow/contrib/slim/README.md
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@ -346,7 +346,7 @@ we can both ensure that each layer uses the same values and simplify the code:
with slim.arg_scope([slim.conv2d], padding='SAME', with slim.arg_scope([slim.conv2d], padding='SAME',
weights_initializer=tf.truncated_normal_initializer(stddev=0.01) weights_initializer=tf.truncated_normal_initializer(stddev=0.01)
weights_regularizer=slim.l2_regularizer(0.0005)): weights_regularizer=slim.l2_regularizer(0.0005)):
net = slim.conv2d(inputs, 64, [11, 11], scope='conv1') net = slim.conv2d(inputs, 64, [11, 11], 4, scope='conv1')
net = slim.conv2d(net, 128, [11, 11], padding='VALID', scope='conv2') net = slim.conv2d(net, 128, [11, 11], padding='VALID', scope='conv2')
net = slim.conv2d(net, 256, [11, 11], scope='conv3') net = slim.conv2d(net, 256, [11, 11], scope='conv3')
``` ```