Merge changes from github.

Change: 114882676

1 files changed, 19 insertions, 10 deletions

diff --git a/tensorflow/g3doc/how_tos/index.md b/tensorflow/g3doc/how_tos/index.md
index a0e51b1f43..cfabce7761 100644
--- a/tensorflow/g3doc/how_tos/index.md
+++ b/tensorflow/g3doc/how_tos/index.md
@@ -6,7 +6,7 @@
 TensorFlow Variables are in-memory buffers containing tensors.  Learn how to
 use them to hold and update model parameters during training.
 
-[View Tutorial](../how_tos/variables/index.md)
+[View Tutorial](variables/index.md)
 
 
 ## TensorFlow Mechanics 101
@@ -15,7 +15,7 @@ A step-by-step walk through of the details of using TensorFlow infrastructure
 to train models at scale, using MNIST handwritten digit recognition as a toy
 example.
 
-[View Tutorial](../tutorials/mnist/tf/index.md)
+[View Tutorial](mnist/tf/index.md)
 
 
 ## TensorBoard: Visualizing Learning
@@ -25,7 +25,7 @@ your model(s).  This tutorial describes how to build and run TensorBoard as well
 as how to add Summary ops to automatically output data to the Events files that
 TensorBoard uses for display.
 
-[View Tutorial](../how_tos/summaries_and_tensorboard/index.md)
+[View Tutorial](summaries_and_tensorboard/index.md)
 
 
 ## TensorBoard: Graph Visualization
@@ -33,7 +33,7 @@ TensorBoard uses for display.
 This tutorial describes how to use the graph visualizer in TensorBoard to help
 you understand the dataflow graph and debug it.
 
-[View Tutorial](../how_tos/graph_viz/index.md)
+[View Tutorial](graph_viz/index.md)
 
 
 ## Reading Data
@@ -41,7 +41,7 @@ you understand the dataflow graph and debug it.
 This tutorial describes the three main methods of getting data into your
 TensorFlow program: Feeding, Reading and Preloading.
 
-[View Tutorial](../how_tos/reading_data/index.md)
+[View Tutorial](reading_data/index.md)
 
 
 ## Threading and Queues
@@ -49,7 +49,7 @@ TensorFlow program: Feeding, Reading and Preloading.
 This tutorial describes the various constructs implemented by TensorFlow
 to facilitate asynchronous and concurrent training.
 
-[View Tutorial](../how_tos/threading_and_queues/index.md)
+[View Tutorial](threading_and_queues/index.md)
 
 
 ## Adding a New Op
@@ -57,7 +57,16 @@ to facilitate asynchronous and concurrent training.
 TensorFlow already has a large suite of node operations from which you can
 compose in your graph, but here are the details of how to add you own custom Op.
 
-[View Tutorial](../how_tos/adding_an_op/index.md)
+[View Tutorial](adding_an_op/index.md)
+
+
+## Writing Documentation
+
+TensorFlow's documentation is largely generated from its source code. Here is an
+introduction to the formats we use, a style guide, and instructions on how to
+build updated documentation from the source.
+
+[View Tutorial](documentation/index.md)
 
 
 ## Custom Data Readers
@@ -65,14 +74,14 @@ compose in your graph, but here are the details of how to add you own custom Op.
 If you have a sizable custom data set, you may want to consider extending
 TensorFlow to read your data directly in it's native format.  Here's how.
 
-[View Tutorial](../how_tos/new_data_formats/index.md)
+[View Tutorial](new_data_formats/index.md)
 
 
 ## Using GPUs
 
 This tutorial describes how to construct and execute models on GPU(s).
 
-[View Tutorial](../how_tos/using_gpu/index.md)
+[View Tutorial](using_gpu/index.md)
 
 
 ## Sharing Variables
@@ -83,7 +92,7 @@ different locations in the model construction code.
 
 The "Variable Scope" mechanism is designed to facilitate that.
 
-[View Tutorial](../how_tos/variable_scope/index.md)
+[View Tutorial](variable_scope/index.md)
 
 ## A Tool Developer's Guide to TensorFlow Model Files