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Commits on Apr 27, 2017

• Refactor Keras layers to rely on core TF layers.

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  fchollet

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  tensorflower-gardener

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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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  tensorflower-gardener

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Commits on Feb 16, 2017

• Add compute_output_shape method to tf.layers objects.

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  ebrevdo

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  tensorflower-gardener

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Commits on Jan 19, 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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  tensorflower-gardener

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Commits on Jan 17, 2017

• 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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Commits on Jan 11, 2017

• 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 8, 2016

• 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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Commits on Dec 1, 2016

• Switch FIXME to TODO

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  asimshankar

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• Add convolutional layers to core.

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  tensorflower-gardener

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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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• 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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