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[tune] Put examples under proper version control (#9427)

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Co-authored-by: krfricke <krfricke@users.noreply.github.com>
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Richard Liaw
2020-07-13 18:01:10 -07:00
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co-authored by krfricke
parent 7abf7a0109
commit a567f7977c
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doc/source/using-ray-with-tensorflow.rst
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Best Practices: Ray with Tensorflow
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This document describes best practices for using the Ray core APIs with TensorFlow. Ray also provides higher-level utilities for working with Tensorflow, such as distributed training APIs (`training tensorflow example`_), Tune for hyperparameter search (`Tune tensorflow example`_), RLlib for reinforcement learning (`RLlib tensorflow example`_).
This document describes best practices for using the Ray core APIs with TensorFlow. Ray also provides higher-level utilities for working with Tensorflow, such as distributed training APIs (`training tensorflow example`_), Tune for hyperparameter search (:doc:`/tune/examples/tf_mnist_example`), RLlib for reinforcement learning (`RLlib tensorflow example`_).
.. _`training tensorflow example`: tf_distributed_training.html
.. _`Tune tensorflow example`: https://github.com/ray-project/ray/blob/master/python/ray/tune/examples/tf_mnist_example.py
.. _`RLlib tensorflow example`: rllib-models.html#tensorflow-models
Feel free to contribute if you think this document is missing anything.