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1. Commits on May 8, 2018

   • fix bug of return value in _should_add_regularizer function and refine code in base_test.py to make it no more than 80 columns

     wangsiyu

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   • refine unit test case coding style and move _should_add_regularizer function into add_weight

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2. Commits on May 3, 2018

   • fix bug of declaring regularization loss mutiple times when reusing partitioned variables in tf.layers

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3. Commits on Apr 12, 2018

   • Make default weights initializer in `base_layers.Layer` suitable for their dtype.

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4. Commits on Apr 10, 2018

   • Refactor layers:

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     fchollet

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5. Commits on Mar 7, 2018

   • eager: Rename in_eager_mode to executing_eagerly and get rid of in_graph_mode.

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     asimshankar

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6. Commits on Mar 6, 2018

   • Layers bind to a graph when first called, not at __init__.

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7. Commits on Feb 9, 2018

   • Simplify and extend the management of input-conditional losses and updates.

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     fchollet

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8. Commits on Jan 5, 2018

   • Make it possible to wrap Layer's `call` method in `tfe.defun`.

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     akshayka

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9. Commits on Dec 22, 2017

   • Merge changes from github.

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10. Commits on Nov 28, 2017

    • Support tfe.Network.losses

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11. Commits on Nov 16, 2017

    • Rename layers.base.Network -> layers.network.GraphNetwork

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12. Commits on Nov 11, 2017

    • Fix typo in tensorflow/python/layers/base_test.py

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      yifeif

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    • Update tf.keras RNNs to the Keras 2.0.9 API. Does not include cuDNN layers.

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      fchollet

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13. Commits on Oct 20, 2017

    • Make Network compatible with eager mode. Currently it only allows to instantiate a Network in eager mode using the regular Keras API, and call it on eager tensors.

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      fchollet

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14. Commits on Oct 13, 2017

    • Switch to nest.flatten() in tf.layers.Layer to allow dicts and

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15. Commits on Oct 3, 2017

    • Clean up properties of layers.Layer:

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16. Commits on Sep 14, 2017

    • When Eager Execution is enabled, TensorFlow now no longer relies on global collections to keep track of ResourceVariables. Instead, they are tracked by the user as normal Python objects. In a subse…

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      Ali Yahya

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17. Commits on Aug 30, 2017

    • Make core layers EAGER model friendly.

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18. Commits on Aug 15, 2017

    • Make it possible to use layers from `tf.layers` directly in a Keras model.

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      fchollet

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19. Commits on Aug 3, 2017

    • Add Network class. Networks are directed acyclic graphs of layers, that implement the full layer API. You can think of a network as a "bigger layer".

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      fchollet

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20. Commits on Jul 7, 2017

    • Bugfix for https://github.com/tensorflow/models/issues/1050

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      ebrevdo

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21. Commits on May 17, 2017

    • Refactor Keras layers to rely on core TF layers, specifically:

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      fchollet

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22. Commits on May 3, 2017

    • [tf layers] Delay marking a layer as built until the end of its first apply().

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      ebrevdo

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23. Commits on Apr 27, 2017

    • Refactor Keras layers to rely on core TF layers.

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24. Commits on Mar 29, 2017

    • Ensure tf.layers._Layer objects are not used across multiple graphs.

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      ebrevdo

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25. Commits on Mar 23, 2017

    • Undo a breaking change to the public API; while retaining the bugfix of #8504.

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      ebrevdo

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26. Commits on Mar 21, 2017

    • Change behavior of tf.layers._Layer: scope (if not provided) is set lazily.

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      ebrevdo

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27. Commits on Dec 22, 2016

    • Allow layers to define variables in call, test that it doesn't lead to duplication.

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      Lukasz Kaiser

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28. Commits on Dec 12, 2016

    • Changes to zeros_initializer which seem to have been missed in the migration.

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29. Commits on Dec 8, 2016

    • Refactor Python imports: layers

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      jart

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30. Commits on Dec 3, 2016

    • Update base Layer to be consistent with the rest of TF.

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31. Commits on Nov 30, 2016

    • Correct the names of base-class variables when no default name is given.

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      Lukasz Kaiser

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    • Add Dropout layer, its functional interface, and `training` argument support in base layer `__call__`.

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32. Commits on Nov 23, 2016

    • Introduce the FullyConnected layer class and functional wrapper.

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