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Commits on Jul 6, 2016

• Merge pull request #3207 from dmitris/typo

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  caisq

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• fix trivial typo (word repetition)

  dmitris

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Commits on Jul 2, 2016

• Revert "Misc improvements to Dockerfile.devel-gpu" (#3157)

  martinwicke

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• Misc improvements to Dockerfile.devel-gpu (#3143)

  

  cancan101

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• Updated tflearn examples copyright (#3156)

  

  terrytangyuan

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Commits on Jul 1, 2016

• Merge pull request #3151 from rmlarsen/branch_126416482

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  Vijay Vasudevan

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• Update README.md (#3133)

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  Justin Francis

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• update tensorflow learn readme (#3140)

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  fayeshine

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• Small typo (#3150)

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  sdenel

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• Merge commit for internal changes

  rmlarsen

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• Improve error messages in feature_column_ops.

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  tensorflower-gardener

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• Removed caching of optimizer. Since optimizer may depend on a graph element (global_step).

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  ispirmustafa

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• Adds documentation for ubuntu-specific build issue seen by open-source users.

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• Fix arithmetic transform test (#3134)

  

  terrytangyuan

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  rmlarsen

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• Update generated Python Op docs.

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• Automated rollback of change 126349886

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  Zongheng Yang

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• Internal change.

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  Zongheng Yang

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• Autogenerated Change: Release TensorBoard at TAG: 21

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  Dan Mané

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• Use learn.DNNClassifier for Iris examples. Use default graph and existing global step (if there is one) in Estimator, because they may have been created earlier when constructing an optimizer, as i…

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• Add a unit test to test DNN weights/biases lookup with correct names from saved checkpoints.

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• Automated rollback of change 126348349

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  Zongheng Yang

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• Allow to specify the list of "clean termination" exceptions when creating a

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• Move POSIX-dependent tracing function from platform/default -> platform/posix.

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  mrry

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• Update generated Python Op docs.

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• Transformed Distribution

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• Fix sparse_softmax_cross_entropy_with_logits for empty tensor

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  girving

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Commits on Jun 30, 2016

• Support optimizer function in Dnn/Linear/.. Estimators.

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  ispirmustafa

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• Cleanup SDCA op based on additional review comments.

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• Improvements to tensor_forest, including support for sparse and categorical inputs.

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• Update generated Python Op docs.

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• Add C++ shape inference for Pack, Unpack, and Const.

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• Update ops-related pbtxt files.

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• Support Sparse-Sparse cwise ops; use for tf.sparse_{minimum,maximum}().

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  Zongheng Yang

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• Fix initialization issues with Variables whose shape contains a zero.

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• Prepare move of safe_embedding_lookup_sparse from framework/ to layers/

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