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layers
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convolutional.py
Commit message (
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Author
Age
*
Internal cleanup
Scott Zhu
2018-08-06
*
Remove hardcoded dtype in tf.layers.xxx() function call to make them compatib...
James Qin
2018-06-14
*
Move Keras code out of _impl folder and remove API files.
Pavithra Vijay
2018-05-17
*
Refactor layers:
Francois Chollet
2018-04-10
*
Automated g4 rollback of changelist 190858242
Jianwei Xie
2018-03-29
*
Automated g4 rollback of changelist 190835392
Anna R
2018-03-28
*
Merge changes from github.
Jianwei Xie
2018-03-28
*
eager: Rename in_eager_mode to executing_eagerly and get rid of in_graph_mode.
Asim Shankar
2018-03-07
*
Bug fix and typo fixes.
Francois Chollet
2018-02-15
*
Adding tf_export decorators/calls to TensorFlow functions and constants.
Anna R
2018-02-08
*
Merge changes from github.
Michael Case
2018-02-07
*
Add SeparableConv1D layer and refactor SeparableConv2D to maximize code reuse...
Francois Chollet
2018-01-22
*
Make layer method `compute_output_shape` public.
Francois Chollet
2018-01-04
*
Merge changes from github.
A. Unique TensorFlower
2017-12-22
*
Merge changes from github.
Sourabh Bajaj
2017-11-30
*
Merge changes from github.
Yifei Feng
2017-11-22
*
Automated g4 rollback of changelist 176615107
Yifei Feng
2017-11-22
*
Merge changes from github.
Yifei Feng
2017-11-21
*
EagerVariableStore, for compatibility with functional layers.
Alexandre Passos
2017-10-30
*
TFE: Add compatibility doc strings to functional layers
Shanqing Cai
2017-10-26
*
Disables storing variables in the default variable store for eager.
Alexandre Passos
2017-10-24
*
Remove name_scope from convolutional calls.
A. Unique TensorFlower
2017-10-23
*
Clean up properties of layers.Layer:
A. Unique TensorFlower
2017-10-02
*
Internal cleanup
A. Unique TensorFlower
2017-09-29
*
Internal refactoring.
A. Unique TensorFlower
2017-09-29
*
Merge changes from github.
Patrick Nguyen
2017-09-15
*
Don't try to evaluate a Tensor as a boolean.
A. Unique TensorFlower
2017-08-30
*
Make convolutional, pooling and normalization layers to work with EAGER.
A. Unique TensorFlower
2017-08-30
*
Fix to SeparableConv2D that did not work when a stride >1 was
A. Unique TensorFlower
2017-08-11
*
Add support for weight constraints in tf.layers API.
Francois Chollet
2017-08-09
*
tf.nn.separable_conv2d now supports data_format.
A. Unique TensorFlower
2017-08-06
*
Merge changes from github.
Shanqing Cai
2017-07-10
*
Backport changes from external Keras into tf.contrib.keras.
Francois Chollet
2017-07-06
*
Updating a comment in Conv2D to correctly specify the kernel dimension orderi...
A. Unique TensorFlower
2017-06-14
*
tf.layers.conv2d use_bias=True to use nn.bias_add
Toby Boyd
2017-06-07
*
Add fp16 support to convolutional layers that support it.
Francois Chollet
2017-06-05
*
Fixed triggering create device multiple times
Toby Boyd
2017-06-05
*
Refactor Keras layers to rely on core TF layers, specifically:
Francois Chollet
2017-05-16
*
Fixed the documentation for tf.layers.conv2d to indicate that `use_bias` take...
Neal Wu
2017-05-15
*
Merge changes from github.
Dan Ringwalt
2017-05-05
*
[tf layers] Delay marking a layer as built until the end of its first apply().
Eugene Brevdo
2017-05-02
*
Refactor Keras layers to rely on core TF layers.
Francois Chollet
2017-04-26
*
Fix shape handling errir in convolutional layer.
A. Unique TensorFlower
2017-03-28
*
Fixed badly formed error message.
A. Unique TensorFlower
2017-03-22
*
Add support for the NCHW data_format for 3d operations (convolution, pooling).
A. Unique TensorFlower
2017-03-21
*
Fix separable convolution bias check
A. Unique TensorFlower
2017-03-16
*
Fix typos and inconsistencies in layers docstrings.
Francois Chollet
2017-03-02
*
Fix layers documentation to not lie about the data format used.
Martin Wicke
2017-03-01
*
Default reuse should be None, never False. Correct it in layers and add tests.
Lukasz Kaiser
2017-01-18
*
Rename usages of tf.mul, tf.neg, tf.sub that are used internally
Andrew Selle
2016-12-20
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