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Commits on Feb 22, 2017

• Added option to specify if an embedding is trainable or not when using embedding columns.

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Commits on Feb 15, 2017

• Pass reuse correctly in the forest of custom getters in contrib-layers.

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  Lukasz Kaiser

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Commits on Feb 9, 2017

• Fail if feature_column arg in feature_column_ops is dict.

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Commits on Feb 2, 2017

• Support integer weights in weighted_sparse_column.

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• Merge changes from github.

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Commits on Jan 31, 2017

• Clarified documentation about the default value for the activation_fn.

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Commits on Jan 30, 2017

• Seal contrib interfaces (as much a feasible). If you were using a symbol which is now hidden, it should be added to the _allowed_symbols list in the appropriate __init__.py file.

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Commits on Jan 26, 2017

• Add whitespace to improve readability of logging & errors strings.

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• More transparent assign and friends on resource variables.

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Commits on Jan 25, 2017

• Fix docstring typo.

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• Only add aliases while collecting if collections is not None

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  sguada

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Commits on Jan 24, 2017

• Start deprecation process to change default stddev value of embedding initializer from 1/(vocab) to 1/(dim) which will make both tf.learn and DB have same defaults.

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  ispirmustafa

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• Revert back default value warning of combiner.

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  ispirmustafa

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Commits on Jan 23, 2017

• Add support for logits_inputs.

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Commits on Jan 20, 2017

• Clarified ambiguous documentation on sparse_column_with_integerized_feature().

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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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• Adding ValueError checking for summaries argument of optimize_loss (similar to optimizer name checking)

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Commits on Jan 15, 2017

• Add tf.tables_initializer as a replacement for tf.initialize_all_tables, and

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Commits on Jan 13, 2017

• Merge changes from github.

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  Patrick Nguyen

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• Remove tf.mul, tf.neg and tf.sub from the public API

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  aselle

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• Automated rollback of change 144342278

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  gunan

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Commits on Jan 12, 2017

• Replace deprecated tf.mul with tf.multiply.

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• Only add aliases while collecting if collections is not None

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  sguada

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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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• Switch tf.concat_v2 references in third_party/tensorflow to tf.concat.

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Commits on Jan 6, 2017

• Add weighted_sparse_column support to one hot

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Commits on Jan 5, 2017

• Change arg order for {softmax,sparse_softmax,sigmoid}_cross_entropy_with_logits to be (labels, predictions), and force use of named args to avoid accidents.

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  martinwicke

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Commits on Dec 30, 2016

• Remove so many more hourglass imports

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  jart

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Commits on Dec 23, 2016

• More descriptive errors on FeatureColumn abstract methods

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  markmcd

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• Allow a tensor to have multiple aliases.

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Commits on Dec 22, 2016

• Automated rollback of change 142698388

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  Jonathan Hseu

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Commits on Dec 21, 2016

• Allow a tensor to have multiple aliases.

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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 19, 2016

• Add zero_debias_moving_mean parameter to batch_norm.

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  sguada

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• Fix test flakiness on GPU by bumping the threshold.

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  Jonathan Hseu

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