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Commits on Apr 7, 2016

• Mean of cross entropy vs sum in summaries tutorial (#1358)

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  basveeling

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  martinwicke

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• Pull request #1465. Implements reverse mode differentiation of the cholesky decomposition as an op in TensorFlow. (#1465)

  

  alexggmatthews

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  Vijay Vasudevan

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• Add Cuda/Cudnn version request (#1795)

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  martinwicke

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  Vijay Vasudevan

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• Attempt at adding support for cudnnr5 API only (no LSTM/RNN additions (#1794)

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  Vijay Vasudevan

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• add a wiki reference for CNN in tutorial (#1809)

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  fayeshine

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  Vijay Vasudevan

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• Added support for unsupervised data feeder (only X given)

  

  ilblackdragon

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  Vijay Vasudevan

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• Update skflow README

  

  terrytangyuan

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  Vijay Vasudevan

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• Merge pull request #1804 from fayeshine/fayeshine-patch-2

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  caisq

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• add Gradient Descent reference in tutorial

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  fayeshine

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Commits on Apr 6, 2016

• Refactor skflow

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  ilblackdragon

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  Vijay Vasudevan

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• Switch to pass graph instead of GraphDef to summaryWriter

  

  terrytangyuan

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  Vijay Vasudevan

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• Merge pull request #1789 from fayeshine/fayeshine-patch-1

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  caisq

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• Merge pull request #1788 from izeye/polish-20160406

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• Add reference for ReLu in tutorial

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  fayeshine

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• Add missing parenthesis in description

  izeye

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Commits on Apr 5, 2016

• Merge pull request #1775 from izeye/polish-20160405

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  martinwicke

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• Merge pull request #1691 from awni/contrib

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  ebrevdo

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• Fix Typo in TF Mechanics 101 Tutorial

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  e-lin

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  Vijay Vasudevan

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• Add footnote about dropout in MNIST tutorial for expert

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  fayeshine

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  Vijay Vasudevan

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• Remove `as` for `import` in tests

  izeye

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• Merge pull request #1773 from vrv/branch_118998460

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  Vijay Vasudevan

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• Merge commit for internal changes

  

  Vijay Vasudevan

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• Record the maximum execution time of each node in a tensorflow graph in the

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  benoitsteiner

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  tensorflower-gardener

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• Update generated Python Op docs.

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  A. Unique TensorFlower

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Commits on Apr 4, 2016

• Adding dropout to DNN estimators, zero initialization for Linear estimators. Verbosity pass through for default monitor.

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  A. Unique TensorFlower

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• Updated documentation for optimizer argument and added support for instance of sub-class of optimizer if user wants to provide optimizer with custom parameters.

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  A. Unique TensorFlower

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• Update Gaussian distribution to support arbitrary shaped mu and sigma; broadcasting

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  ebrevdo

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• ADD: Inequality based asserts and tests.

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  A. Unique TensorFlower

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• Ensure that excessively large sparse matmuls are not executed

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  David G. Andersen

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• Change rnn benchmarks to use variables and initialize only once

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  ebrevdo

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• Bounding the amount of time the Supervisor can spend waiting for a session.

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  A. Unique TensorFlower

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• Replace eigen3 NeuralNetworks include with eigen_attention.h in attention_ops.cc to fix build error

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  andrewharp

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• Added a simple Python-based inspect_checkpoint tool.

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  sherrym

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• Make tf/core:framework_headers_lib public for custom op creation.

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  A. Unique TensorFlower

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• Updated Bazel version in Docker to 0.2.1

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  petewarden

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