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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 22, 2017

   • Move Global step creator utilities from contrib to training_util.

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3. Commits on Feb 14, 2017

   • Module docstring updates.

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4. Commits on Jan 17, 2017

   • Moved FeedFnHook into basic_session_run_hooks.

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     Illia Polosukhin

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5. Commits on Jan 10, 2017

   • Make SecondOrStepTimer public.

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     ispirmustafa

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6. Commits on Dec 21, 2016

   • Rename SyncReplicasOptimizerV2 to SyncReplicasOptimizer

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7. Commits on Dec 13, 2016

   • Rename SyncReplicasOptimizerV2 to SyncReplicasOptimizer

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8. Commits on Dec 8, 2016

   • Introduced tf.train.HookedSession which is designed to help single machine training.

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9. Commits on Dec 7, 2016

   • Remove tf.SyncReplicasOptimizer, which will be replaced by

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10. Commits on Dec 2, 2016

    • Remove summary ops from tf namespace.

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      Dan Mané

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11. Commits on Dec 1, 2016

    • Remove tf.train.SummaryWriter and tf.train.SummaryWriterCache.

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      Dan Mané

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12. Commits on Nov 21, 2016

    • Added a SessionRunHook to handle global step based delaying in distributed setting.

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13. Commits on Nov 9, 2016

    • Merge changes from github.

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14. Commits on Nov 4, 2016

    • Merge changes from github.

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      Vijay Vasudevan

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15. Commits on Oct 26, 2016

    • Expose missing rate decay functions.

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      Patrick Nguyen

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16. Commits on Oct 19, 2016

    • Seal tf.train's interface.

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      Patrick Nguyen

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17. Commits on Oct 14, 2016

    • Introduce tf.train.{checkpoint_exists,get_checkpoint_mtimes}().

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      Zongheng Yang

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18. Commits on Oct 7, 2016

    • Switch to the new accumulators in the sync_rep optimizer (currently called V2). Please note that the gradients from replicas are now averaged instead of summed (as in the old sync_replicas_optimize…

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      Jianmin Chen

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19. Commits on Oct 6, 2016

    • Move Matthieu's MonitoredTrainingSession to tf.train.

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20. Commits on Oct 5, 2016

    • Add missing import of NanTensorHook in training.py namespace flattening.

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21. Commits on Oct 3, 2016

    • Move MonitoredSession and related utilities from tf.contrib.learn to tf.train

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22. Commits on Aug 19, 2016

    • Adagrad Dual Averaging optimizer for sparse linear models, that takes care of lazy updates correctly.

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23. Commits on Jun 30, 2016

    • Only the exponentially decaying learning rate seems to have been

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24. Commits on Jun 15, 2016

    • Move do_quantize_training_on_graphdef to tf.train

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      Jianmin Chen

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25. Commits on Jun 9, 2016

    • Add basic_train_loop() as an example for higher level frameworks to copy or

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26. Commits on Jun 7, 2016

    • ProximalAdagrad and ProximalGradientdescent, which provide l1 and l2 regularization for Adagrad and GradientDescent respectively.

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27. Commits on Jun 2, 2016

    • Update copyright for 3p/tf/python.

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28. Commits on May 3, 2016

    • Removes InferenceExample from tensorflow.Example.

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29. Commits on Apr 26, 2016

    • Audio summary support.

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30. Commits on Apr 8, 2016

    • Clean up the interface to the distributed runtime from Python

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31. Commits on Apr 2, 2016

    • PyLint updates.

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32. Commits on Mar 25, 2016

    • Added replica_device_setter() for multi-replica training.

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33. Commits on Mar 23, 2016

    • Added Python APIs for inspecting checkpoint content.

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    • Add support to synchronize replicas in distributed training

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    • Merge changes from github, some fixes to adhere somewhat

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      Vijay Vasudevan

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