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Commits on Jan 20, 2017

• Default reuse should be None, never False. Correct it in layers and add tests.

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  Lukasz Kaiser

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  gunan

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• Rename `weights` in `Dense` layer to `kernel`, and add base layer aliases for `(non_)trainable_weights`.

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  fchollet

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  gunan

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Commits on Jan 13, 2017

• Merge changes from github.

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  Patrick Nguyen

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  tensorflower-gardener

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  769496b

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Commits on Jan 11, 2017

• Now that moments are numerically stable by default, not need to use moving_mean.

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  sguada

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• Test that the dense layer respects the initializer from variable_scope above.

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  Lukasz Kaiser

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  tensorflower-gardener

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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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  tensorflower-gardener

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Commits on Dec 20, 2016

• Rename usages of tf.mul, tf.neg, tf.sub that are used internally

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  aselle

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Commits on Dec 16, 2016

• Replace array_ops.unpack with array_ops.unstack in third_party/tensorflow.

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Commits on Dec 15, 2016

• Switch array_ops.pack/unpack to array_ops.stack/unstack. Also switch a few remaining references to tf.pack/unpack to tf.stack/unstack.

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Commits on Dec 14, 2016

• Fix slowdown in graph building introduced by repeated calls to `inspect`.

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  fchollet

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Commits on Dec 13, 2016

• Avoid both conditional branches being computed in Dropout and BatchNormalization.

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  fchollet

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Commits on Dec 12, 2016

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

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  tensorflower-gardener

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Commits on Dec 8, 2016

• Propagate atrous rate parameter to TF contrib separable convolution.

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• Refactor Python imports: layers

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  jart

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• Make base core layer match the behavior of tf.get_variable with regard to regularization.

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  fchollet

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Commits on Dec 3, 2016

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

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  sguada

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• Add imports for convolutional, normalization and pooling core layers.

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  fchollet

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Commits on Dec 2, 2016

• Add BatchNormalization layer class and its functional interface.

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  fchollet

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Commits on Dec 1, 2016

• Add pooling layer classes and their functional versions.

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  tensorflower-gardener

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• Fix Tensor boolean evals; these are now errors.

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  Joshua V. Dillon

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• Switch FIXME to TODO

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  asimshankar

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• Add convolutional layers to core.

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• Adding support for regularizing partitioned variables in layers/base.py

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Commits on Nov 30, 2016

• Move properties in Layer to read-only; add output_size property.

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  ebrevdo

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  tensorflower-gardener

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

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  Lukasz Kaiser

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  tensorflower-gardener

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• Seal the tf.layers interface.

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  Patrick Nguyen

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  tensorflower-gardener

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  0756951

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

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Commits on Nov 29, 2016

• Add tests and correct reuse and custom_getter passing in core layers.

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  Lukasz Kaiser

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  tensorflower-gardener

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Commits on Nov 23, 2016

• Introduce the FullyConnected layer class and functional wrapper.

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