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Commits on Dec 22, 2016

• Merge commit for internal changes

  

  Jonathan Hseu

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• Move the implementation code of rnn_cells to contrib.

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  Jianwei Xie

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Commits on Dec 20, 2016

• Merge commit for internal changes

  

  Jonathan Hseu

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Commits on Dec 16, 2016

• Clarify about 'SAME' padding in docs (#6127)

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  ppwwyyxx

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Commits on Dec 15, 2016

• Move the implementation code of static_rnn, static_bidirectional_rnn and static_state_saving_rnn from core to contrib.

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  Jianwei Xie

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Commits on Dec 14, 2016

• Move implementation code of tf.nn.seq2eq to tf.contrib.

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  Jianwei Xie

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Commits on Dec 5, 2016

• Change tf.nn.rnn_cell to tf.contrib.rnn for all cells.

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  Jianwei Xie

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Commits on Dec 1, 2016

• Implement tf.nn.atrous_conv2d_transpose. Close bugs #4668 and #5300.

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Commits on Nov 23, 2016

• Seal tf.nn's interface.

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  Patrick Nguyen

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Commits on Nov 22, 2016

• Remove assertion that evaluation ops aren't differentiable since top_k is differentiable. Fixes #5726 .

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Commits on Nov 19, 2016

• Automated rollback of change 139400135

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  Jonathan Hseu

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Commits on Nov 17, 2016

• Rename `Tensor` to `Output` in all Python docs

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  Jonathan Hseu

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Commits on Nov 15, 2016

• Deprecate tf.inv in favor of tf.reciprocal.

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  martinwicke

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Commits on Nov 9, 2016

• Merge changes from github.

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  benoitsteiner

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Commits on Nov 4, 2016

• Revert to using log(1+x) instead of log1p(x).

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  Patrick Nguyen

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• Merge changes from github.

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  Vijay Vasudevan

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Commits on Oct 20, 2016

• Merge changes from github.

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  Patrick Nguyen

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Commits on Oct 17, 2016

• Move contrib/quantization ops to tensorflow/core

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  andrewharp

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Commits on Oct 10, 2016

• Merge changes from github.

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Commits on Sep 29, 2016

• Add weighted_moments, and allow batch norm to use it to compute frequency-weighted statistics.

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• Fix broken lists in documentation, and back-quote more identifiers.

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  Patrick Nguyen

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• Add syntax highlighting and fix some lists in docs.

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  Patrick Nguyen

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• Add generic Python interface for convolution and pooling

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• Fix spelling in docstrings.

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  Patrick Nguyen

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Commits on Sep 28, 2016

• Add a fused batch normalization op, supporting both cuDNN and an Eigen-based

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  Yao Zhang

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Commits on Sep 16, 2016

• sampled_softmax_loss eventually calls out to a log-uniform sampler. This means that the order of the classes is important and this should be mentioned in the primary documentation.

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Commits on Sep 10, 2016

• Merge changes from github.

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  Dan Mané

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Commits on Aug 30, 2016

• Adds fractional_max_pool and fractional_avg_pool ops. Fixes #2953.

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Commits on Aug 24, 2016

• Implement the Concatenated ReLU (CReLu) non-linearity. This non-linearity makes it possible to reduce the depth of lower layers in a convolution tower by a factor of two at no cost in accuracy. See…

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  vincentvanhoucke

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Commits on Aug 22, 2016

• RNN API updates and reduce_min/reduce_max bugfixes.

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  ebrevdo

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• Fix L2Normalize when passing a list of dims. Fixes #3932.

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  Vijay Vasudevan

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Commits on Aug 17, 2016

• Relax static shape information requirements for depthwise and separable conv2d.

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Commits on Aug 12, 2016

• Merge changes from github.

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  benoitsteiner

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Commits on Aug 9, 2016

• Deprecate op_scope by extending name_scope and move all callers to the new name_scope.

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  Lukasz Kaiser

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Commits on Aug 1, 2016

• Simplify tf.nn.sufficient_statistics.

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