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Update generated Python Op docs.

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Change: 123898834
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A. Unique TensorFlower 2016-06-02 12:08:47 -08:00 committed by TensorFlower Gardener
parent f6acee434c
commit 747a444487
3 changed files with 10 additions and 2 deletions
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6
tensorflow/g3doc/api_docs/python/contrib.layers.md
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@ -50,6 +50,8 @@ it is applied to the activations as well.
* <b>`variables_collections`</b>: optional list of collections for all the variables or
a dictionay containing a different list of collection per variable.
* <b>`outputs_collections`</b>: collection to add the outputs.
* <b>`trainable`</b>: If `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see tf.Variable).
* <b>`scope`</b>: Optional scope for `variable_op_scope`.
##### Returns:
@ -92,8 +94,10 @@ prior to the initial matrix multiply by `weights`.
* <b>`reuse`</b>: whether or not the layer and its variables should be reused. To be
able to reuse the layer scope must be given.
* <b>`variables_collections`</b>: Optional list of collections for all the variables or
a dictionay containing a different list of collection per variable.
a dictionary containing a different list of collections per variable.
* <b>`outputs_collections`</b>: collection to add the outputs.
* <b>`trainable`</b>: If `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see tf.Variable).
* <b>`scope`</b>: Optional scope for variable_op_scope.
##### Returns:

2
tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.layers.convolution2d.md
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@ -35,6 +35,8 @@ it is applied to the activations as well.
* <b>`variables_collections`</b>: optional list of collections for all the variables or
a dictionay containing a different list of collection per variable.
* <b>`outputs_collections`</b>: collection to add the outputs.
* <b>`trainable`</b>: If `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see tf.Variable).
* <b>`scope`</b>: Optional scope for `variable_op_scope`.
##### Returns:

4
tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.layers.fully_connected.md
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@ -31,8 +31,10 @@ prior to the initial matrix multiply by `weights`.
* <b>`reuse`</b>: whether or not the layer and its variables should be reused. To be
able to reuse the layer scope must be given.
* <b>`variables_collections`</b>: Optional list of collections for all the variables or
a dictionay containing a different list of collection per variable.
a dictionary containing a different list of collections per variable.
* <b>`outputs_collections`</b>: collection to add the outputs.
* <b>`trainable`</b>: If `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see tf.Variable).
* <b>`scope`</b>: Optional scope for variable_op_scope.
##### Returns: