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1. Commits on Feb 24, 2017

   • Update module docstrings to (consistently) link to the guide in the

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2. Commits on Feb 13, 2017

   • Update docs.

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3. Commits on Dec 22, 2016

   • Merge changes from github.

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     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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4. 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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5. 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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6. 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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7. Commits on Dec 1, 2016

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

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8. Commits on Nov 23, 2016

   • Seal tf.nn's interface.

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     Patrick Nguyen

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9. Commits on Nov 22, 2016

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

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10. Commits on Nov 19, 2016

    • Automated rollback of change 139400135

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      Jonathan Hseu

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11. Commits on Nov 17, 2016

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

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      Jonathan Hseu

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12. Commits on Nov 15, 2016

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

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13. Commits on Nov 9, 2016

    • Merge changes from github.

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14. 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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15. Commits on Oct 20, 2016

    • Merge changes from github.

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      Patrick Nguyen

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16. Commits on Oct 17, 2016

    • Move contrib/quantization ops to tensorflow/core

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17. Commits on Oct 10, 2016

    • Merge changes from github.

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18. 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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19. 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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20. 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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21. Commits on Sep 10, 2016

    • Merge changes from github.

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      Dan Mané

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22. Commits on Aug 30, 2016

    • Adds fractional_max_pool and fractional_avg_pool ops. Fixes #2953.

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23. 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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24. Commits on Aug 22, 2016

    • RNN API updates and reduce_min/reduce_max bugfixes.

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

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      Vijay Vasudevan

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25. Commits on Aug 17, 2016

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

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26. Commits on Aug 12, 2016

    • Merge changes from github.

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27. 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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28. Commits on Aug 1, 2016

    • Simplify tf.nn.sufficient_statistics.

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