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Commits on Jun 11, 2019

• Add Keras Applications ResNet101, ResNet152, ResNet50V2, ResNet101V2,

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Commits on Jun 10, 2019

• Remove references to compat.v1 in feature_columns_v2 code.

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Commits on Jun 7, 2019

• Update add_weight docstring to remove reference to variable_scope.

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Commits on Jun 3, 2019

• Add integration test for Sequential `pop` workflow.

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• Support expanded graph visualizations of nested models, and correctly handle

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Commits on May 21, 2019

• Enable `weights` argument in constructor of layers in TF 2.0.

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Commits on May 14, 2019

• Make it possible for a subclassed model to be compiled and trained with no

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Commits on May 13, 2019

• Fix check that Sequential does to verify underlying layers have a single output

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Commits on May 8, 2019

• Change semantics of `layer.trainable = False` on a BatchNormalization layer.

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Commits on Apr 26, 2019

• Do not take into account `layer.trainable` when creating a trainable weight. `layer.trainable` is only meant to affect `layer.trainable_weights`/`layer.non_trainable_weights`.

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Commits on Apr 25, 2019

• Reenable autograph in `Layer.__call__` and add safeguards to prevent users from writing invalid static control flow.

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• Bump TF Keras version number under TF 2.0.

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Commits on Apr 18, 2019

• Make backend print utility v2-ready.

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Commits on Apr 16, 2019

• Improve backend tests:

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• Increase test coverage for backend functions conv2d_transpose and conv2d, and

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Commits on Apr 13, 2019

• Avoid calling set_shape on variable instances in backend `rnn`.

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• Add backend tests for certain random functions.

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Commits on Mar 23, 2019

• In `rnn` in Keras backend, only propagate shape inference in valid cases (e.g. don't do it for variable instances).

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Commits on Mar 12, 2019

• Do not raise exception when graphviz isn't installed while running IPython.

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Commits on Mar 9, 2019

• Minor session config fix.

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Commits on Mar 6, 2019

• Update crossentropy backend functions to reflect the fact that they may be called on eager tensors outside of an eager context.

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Commits on Mar 5, 2019

• Move away from deprecated dropout API in keras.backend.dropout and add correctness unit tests.

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Commits on Mar 4, 2019

• Improve "`fit` from dataset" correctness test coverage.

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Commits on Feb 28, 2019

• Improve layer docstrings by 1) adding an "Extra call arguments" section describing `call` arguments such as `training`, `mask`, etc., 2) fixing various formatting issues.

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Commits on Feb 22, 2019

• Fix progbar formatting.

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Commits on Feb 21, 2019

• Automated rollback of commit 3ffc4e514f8a953c6444e58d65a2dc96139e0a83. Revert #25851.

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Commits on Feb 15, 2019

• Fix issue in which the default learning phase was incorrectly captured when

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Commits on Feb 9, 2019

• Scrub term "graph network" from error messages and docstrings; standardize on "Functional Model"

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Commits on Feb 8, 2019

• Make `plot_model` more delightful for notebook users.

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• Make `ModelCheckpoint` callback default to using `save_weights` instead of `save` when receiving a subclassed model.

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Commits on Feb 7, 2019

• Update applications test.

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Commits on Feb 5, 2019

• Allow layers to return variables.

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• Make `name` and `shape` arguments optional in `Layer.add_weight()`.

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Commits on Jan 29, 2019

• Make sure the name of the learning phase tensor is independent of any outer name scope.

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Commits on Jan 26, 2019

• Export serialize/deserialize methods for `tf.keras.layers`.

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