From f3b8b9093d98da2990a8c020aa12cfb9379e87e7 Mon Sep 17 00:00:00 2001
From: Adi Zimmerman <adizim@berkeley.edu>
Date: Sun, 12 May 2019 15:08:47 -0700
Subject: [PATCH] Update tutorial link in doc (#4777)

---
 doc/source/tune.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/tune.rst b/doc/source/tune.rst
index bfeb729e6..2674f5b06 100644
--- a/doc/source/tune.rst
+++ b/doc/source/tune.rst
@@ -7,9 +7,9 @@ Tune: Scalable Hyperparameter Search
 
 Tune is a scalable framework for hyperparameter search with a focus on deep learning and deep reinforcement learning.
 
-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>`__.
+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>`__.
 
-(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>`__.
+(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>`__.
 
 
 Features