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Update tutorial link in doc (#4777)
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Robert Nishihara
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@@ -7,9 +7,9 @@ Tune: Scalable Hyperparameter Search
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Tune is a scalable framework for hyperparameter search with a focus on deep learning and deep reinforcement learning.
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You can find the code for Tune `here on GitHub <https://github.com/ray-project/ray/tree/master/python/ray/tune>`__. To get started with Tune, try going through `our tutorial of using Tune with Keras <https://github.com/ray-project/tutorial/blob/master/tune_exercises/Tune.ipynb>`__.
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You can find the code for Tune `here on GitHub <https://github.com/ray-project/ray/tree/master/python/ray/tune>`__. To get started with Tune, try going through `our tutorial of using Tune with Keras <https://github.com/ray-project/tutorial/blob/master/tune_exercises/Tutorial.ipynb>`__.
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(Experimental): You can try out `the above tutorial on a free hosted server via Binder <https://mybinder.org/v2/gh/ray-project/tutorial/master?filepath=tune_exercises%2FTune.ipynb>`__.
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(Experimental): You can try out `the above tutorial on a free hosted server via Binder <https://mybinder.org/v2/gh/ray-project/tutorial/master?filepath=tune_exercises%2FTutorial.ipynb>`__.
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Features
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