Updated the links in docs to match the markdown sytnax.

12 files changed, 26 insertions, 38 deletions

diff --git a/README.md b/README.md
index e9b9228492..49b1983731 100644
--- a/README.md
+++ b/README.md
@@ -61,6 +61,6 @@ Hello, TensorFlow!
 * [TensorFlow website](http://tensorflow.org)
 * [TensorFlow whitepaper](http://download.tensorflow.org/paper/whitepaper2015.pdf)
 * [TensorFlow Model Zoo](https://github.com/tensorflow/models)
-* [TensorFlow MOOC on Udacity] (https://www.udacity.com/course/deep-learning--ud730)
+* [TensorFlow MOOC on Udacity](https://www.udacity.com/course/deep-learning--ud730)
 
 The TensorFlow community has created amazing things with TensorFlow, please see the [resources section of tensorflow.org](https://www.tensorflow.org/versions/master/resources#community) for an incomplete list.
diff --git a/tensorflow/contrib/session_bundle/README.md b/tensorflow/contrib/session_bundle/README.md
index 64328fe596..6df63cba80 100644
--- a/tensorflow/contrib/session_bundle/README.md
+++ b/tensorflow/contrib/session_bundle/README.md
@@ -34,12 +34,10 @@ definition that's needed for serving.
 *   `assets` -- Asset file directory
     *   Holds auxiliary files for the graph (e.g., vocabularies)
 *   `export.meta` -- MetaGraph Definition
-    *   Binary [`tensorflow::MetaGraphDef`]
-        (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/protobuf/meta_graph.proto)
+    *   Binary [`tensorflow::MetaGraphDef`](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/protobuf/meta_graph.proto)
 *   `export-?????-of-?????`
     *   A checkpoint of the Graph Variables
-    *   Outputs from Python [`Saver`]
-        (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python/training/saver.py)
+    *   Outputs from Python [`Saver`](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python/training/saver.py)
         with `sharded=True`.
 
 ## Exporting (Python code)
diff --git a/tensorflow/core/ops/nn_ops.cc b/tensorflow/core/ops/nn_ops.cc
index 39cb5ff315..903e148b15 100644
--- a/tensorflow/core/ops/nn_ops.cc
+++ b/tensorflow/core/ops/nn_ops.cc
@@ -1835,7 +1835,7 @@ pooling_ratio: Pooling ratio for each dimension of `value`, currently only
   respectively.
 pseudo_random: When set to True, generates the pooling sequence in a
   pseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin
-  Graham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for
+  Graham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for
   difference between pseudorandom and random.
 overlapping: When set to True, it means when pooling, the values at the boundary
   of adjacent pooling cells are used by both cells. For example:
@@ -1925,7 +1925,7 @@ pooling_ratio: Pooling ratio for each dimension of `value`, currently only
   respectively.
 pseudo_random: When set to True, generates the pooling sequence in a
   pseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin
-  Graham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for
+  Graham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for
   difference between pseudorandom and random.
 overlapping: When set to True, it means when pooling, the values at the boundary
   of adjacent pooling cells are used by both cells. For example:
diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt
index c274ba9e6e..1f9c47172e 100644
--- a/tensorflow/core/ops/ops.pbtxt
+++ b/tensorflow/core/ops/ops.pbtxt
@@ -6862,7 +6862,7 @@ op {
     default_value {
       b: false
     }
-    description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random."
+    description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random."
   }
   attr {
     name: "overlapping"
@@ -6996,7 +6996,7 @@ op {
     default_value {
       b: false
     }
-    description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random."
+    description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random."
   }
   attr {
     name: "overlapping"
diff --git a/tensorflow/g3doc/api_docs/python/client.md b/tensorflow/g3doc/api_docs/python/client.md
index 2d4c52a004..14338f71bc 100644
--- a/tensorflow/g3doc/api_docs/python/client.md
+++ b/tensorflow/g3doc/api_docs/python/client.md
@@ -52,8 +52,7 @@ with tf.Session() as sess:
   sess.run(...)
 ```
 
-The [`ConfigProto`]
-(https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
+The [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
 protocol buffer exposes various configuration options for a
 session. For example, to create a session that uses soft constraints
 for device placement, and log the resulting placement decisions,
@@ -84,8 +83,8 @@ the session constructor.
 
 
 *  <b>`target`</b>: (Optional.) The execution engine to connect to.
-    Defaults to using an in-process engine. See [Distributed Tensorflow]
-    (https://www.tensorflow.org/how_tos/distributed/index.html)
+    Defaults to using an in-process engine. See
+    [Distributed Tensorflow](https://www.tensorflow.org/how_tos/distributed/index.html)
     for more examples.
 *  <b>`graph`</b>: (Optional.) The `Graph` to be launched (described above).
 *  <b>`config`</b>: (Optional.) A [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
diff --git a/tensorflow/python/client/session.py b/tensorflow/python/client/session.py
index a23a9b7eba..c139f87c32 100644
--- a/tensorflow/python/client/session.py
+++ b/tensorflow/python/client/session.py
@@ -1088,8 +1088,7 @@ class Session(BaseSession):
     sess.run(...)
   ```
 
-  The [`ConfigProto`]
-  (https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
+  The [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
   protocol buffer exposes various configuration options for a
   session. For example, to create a session that uses soft constraints
   for device placement, and log the resulting placement decisions,
@@ -1127,8 +1126,8 @@ class Session(BaseSession):
 
     Args:
       target: (Optional.) The execution engine to connect to.
-        Defaults to using an in-process engine. See [Distributed Tensorflow]
-        (https://www.tensorflow.org/how_tos/distributed/index.html)
+        Defaults to using an in-process engine. See
+        [Distributed Tensorflow](https://www.tensorflow.org/how_tos/distributed/index.html)
         for more examples.
       graph: (Optional.) The `Graph` to be launched (described above).
       config: (Optional.) A [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto)
diff --git a/tensorflow/python/framework/ops.py b/tensorflow/python/framework/ops.py
index 046695746c..318e656868 100644
--- a/tensorflow/python/framework/ops.py
+++ b/tensorflow/python/framework/ops.py
@@ -2125,8 +2125,8 @@ class Graph(object):
   def graph_def_versions(self):
     """The GraphDef version information of this graph.
 
-    For details on the meaning of each version, see [`GraphDef`]
-    (https://www.tensorflow.org/code/tensorflow/core/framework/graph.proto).
+    For details on the meaning of each version, see
+    [`GraphDef`](https://www.tensorflow.org/code/tensorflow/core/framework/graph.proto).
 
     Returns:
       A `VersionDef`.
diff --git a/tensorflow/python/ops/image_ops.py b/tensorflow/python/ops/image_ops.py
index 39e4227c9b..446a3902fa 100644
--- a/tensorflow/python/ops/image_ops.py
+++ b/tensorflow/python/ops/image_ops.py
@@ -737,12 +737,9 @@ def resize_images(images,
 
   `method` can be one of:
 
-  *   <b>`ResizeMethod.BILINEAR`</b>: [Bilinear interpolation.]
-      (https://en.wikipedia.org/wiki/Bilinear_interpolation)
-  *   <b>`ResizeMethod.NEAREST_NEIGHBOR`</b>: [Nearest neighbor interpolation.]
-      (https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
-  *   <b>`ResizeMethod.BICUBIC`</b>: [Bicubic interpolation.]
-      (https://en.wikipedia.org/wiki/Bicubic_interpolation)
+  *   <b>`ResizeMethod.BILINEAR`</b>: [Bilinear interpolation.](https://en.wikipedia.org/wiki/Bilinear_interpolation)
+  *   <b>`ResizeMethod.NEAREST_NEIGHBOR`</b>: [Nearest neighbor interpolation.](https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
+  *   <b>`ResizeMethod.BICUBIC`</b>: [Bicubic interpolation.](https://en.wikipedia.org/wiki/Bicubic_interpolation)
   *   <b>`ResizeMethod.AREA`</b>: Area interpolation.
 
   Args:
diff --git a/tensorflow/python/ops/nn.py b/tensorflow/python/ops/nn.py
index 0845c782b8..9ccf48bbac 100644
--- a/tensorflow/python/ops/nn.py
+++ b/tensorflow/python/ops/nn.py
@@ -1265,10 +1265,8 @@ def nce_loss(weights,
   """Computes and returns the noise-contrastive estimation training loss.
 
   See [Noise-contrastive estimation: A new estimation principle for
-  unnormalized statistical models]
-  (http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf).
-  Also see our [Candidate Sampling Algorithms Reference]
-  (../../extras/candidate_sampling.pdf)
+  unnormalized statistical models](http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf).
+  Also see our [Candidate Sampling Algorithms Reference](../../extras/candidate_sampling.pdf)
 
   Note: By default this uses a log-uniform (Zipfian) distribution for sampling,
   so your labels must be sorted in order of decreasing frequency to achieve
diff --git a/tensorflow/python/ops/nn_ops.py b/tensorflow/python/ops/nn_ops.py
index b70cf83d91..88e1d22a63 100644
--- a/tensorflow/python/ops/nn_ops.py
+++ b/tensorflow/python/ops/nn_ops.py
@@ -612,9 +612,9 @@ def atrous_conv2d(value, filters, rate, padding, name=None):
   that effectively use atrous convolution in different ways are, among others,
   [OverFeat: Integrated Recognition, Localization and Detection using
   Convolutional Networks](http://arxiv.org/abs/1312.6229) and [Fast Image
-  Scanning with Deep Max-Pooling Convolutional Neural Networks]
-  (http://arxiv.org/abs/1302.1700). Atrous convolution is also closely related
-  to the so-called noble identities in multi-rate signal processing.
+  Scanning with Deep Max-Pooling Convolutional Neural Networks](http://arxiv.org/abs/1302.1700).
+  Atrous convolution is also closely related to the so-called noble identities
+  in multi-rate signal processing.
 
   There are many different ways to implement atrous convolution (see the refs
   above). The implementation here reduces
diff --git a/tensorflow/python/ops/parsing_ops.py b/tensorflow/python/ops/parsing_ops.py
index 71b946018d..992fe0c331 100644
--- a/tensorflow/python/ops/parsing_ops.py
+++ b/tensorflow/python/ops/parsing_ops.py
@@ -153,8 +153,7 @@ def parse_example(serialized, features, name=None, example_names=None):
   # pylint: disable=line-too-long
   """Parses `Example` protos into a `dict` of tensors.
 
-  Parses a number of serialized [`Example`]
-  (https://www.tensorflow.org/code/tensorflow/core/example/example.proto)
+  Parses a number of serialized [`Example`](https://www.tensorflow.org/code/tensorflow/core/example/example.proto)
   protos given in `serialized`.
 
   `example_names` may contain descriptive names for the corresponding serialized
@@ -549,8 +548,7 @@ def parse_single_sequence_example(
   # pylint: disable=line-too-long
   """Parses a single `SequenceExample` proto.
 
-  Parses a single serialized [`SequenceExample`]
-  (https://www.tensorflow.org/code/tensorflow/core/example/example.proto)
+  Parses a single serialized [`SequenceExample`](https://www.tensorflow.org/code/tensorflow/core/example/example.proto)
   proto given in `serialized`.
 
   This op parses a serialize sequence example into a tuple of dictionaries
diff --git a/tensorflow/python/training/rmsprop.py b/tensorflow/python/training/rmsprop.py
index 2a2d185a07..3a9685135b 100644
--- a/tensorflow/python/training/rmsprop.py
+++ b/tensorflow/python/training/rmsprop.py
@@ -50,8 +50,7 @@ from tensorflow.python.training import training_ops
 class RMSPropOptimizer(optimizer.Optimizer):
   """Optimizer that implements the RMSProp algorithm.
 
-  See the [paper]
-  (http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf).
+  See the [paper](http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf).
 
   @@__init__
   """