Fix links

9 files changed, 12 insertions, 13 deletions

diff --git a/tensorflow/docs_src/guide/datasets_for_estimators.md b/tensorflow/docs_src/guide/datasets_for_estimators.md
index 92fdbb9781..b55a5731a4 100644
--- a/tensorflow/docs_src/guide/datasets_for_estimators.md
+++ b/tensorflow/docs_src/guide/datasets_for_estimators.md
@@ -76,9 +76,9 @@ Let's walk through the `train_input_fn()`.
 The function starts by using the @{tf.data.Dataset.from_tensor_slices} function
 to create a @{tf.data.Dataset} representing slices of the array. The array is
 sliced across the first dimension. For example, an array containing the
-[mnist training data](../tutorials/images/layers) has a shape of `(60000, 28, 28)`.
-Passing this to `from_tensor_slices` returns a `Dataset` object containing
-60000 slices, each one a 28x28 image.
+MNIST training data has a shape of `(60000, 28, 28)`. Passing this to
+`from_tensor_slices` returns a `Dataset` object containing 60000 slices, each one
+a 28x28 image.
 
 The code that returns this `Dataset` is as follows:
 
diff --git a/tensorflow/docs_src/guide/eager.md b/tensorflow/docs_src/guide/eager.md
index 1448f89cae..003ca265fe 100644
--- a/tensorflow/docs_src/guide/eager.md
+++ b/tensorflow/docs_src/guide/eager.md
@@ -316,9 +316,8 @@ for (batch, (images, labels)) in enumerate(dataset):
 
 
 The following example creates a multi-layer model that classifies the standard
-[MNIST handwritten digits](../tutorials/images/layers). It
-demonstrates the optimizer and layer APIs to build trainable graphs in an eager
-execution environment.
+MNIST handwritten digits. It demonstrates the optimizer and layer APIs to build
+trainable graphs in an eager execution environment.
 
 ### Train a model
 
diff --git a/tensorflow/docs_src/install/install_linux.md b/tensorflow/docs_src/install/install_linux.md
index cbc606afd6..f21c073a1b 100644
--- a/tensorflow/docs_src/install/install_linux.md
+++ b/tensorflow/docs_src/install/install_linux.md
@@ -489,7 +489,7 @@ TensorFlow programs:
 If the system outputs an error message instead of a greeting, see [Common
 installation problems](#common_installation_problems).
 
-To learn more, see the [TensorFlow tutorials](./tutorials/).
+To learn more, see the [TensorFlow tutorials](../tutorials/).
 
 <a name="NVIDIARequirements"></a>
 ## TensorFlow GPU support
diff --git a/tensorflow/docs_src/install/install_mac.md b/tensorflow/docs_src/install/install_mac.md
index 0ce2cd26b0..c6f0c17924 100644
--- a/tensorflow/docs_src/install/install_mac.md
+++ b/tensorflow/docs_src/install/install_mac.md
@@ -403,7 +403,7 @@ writing TensorFlow programs:
 If the system outputs an error message instead of a greeting, see
 [Common installation problems](#common_installation_problems).
 
-To learn more, see the [TensorFlow tutorials](./tutorials/).
+To learn more, see the [TensorFlow tutorials](../tutorials/).
 
 ## Common installation problems
 
diff --git a/tensorflow/docs_src/install/install_raspbian.md b/tensorflow/docs_src/install/install_raspbian.md
index c03cc88cc6..46c4944ca7 100644
--- a/tensorflow/docs_src/install/install_raspbian.md
+++ b/tensorflow/docs_src/install/install_raspbian.md
@@ -230,7 +230,7 @@ problems, despite the log message.
 If the system outputs an error message instead of a greeting, see [Common
 installation problems](#common_installation_problems).
 
-To learn more, see the [TensorFlow tutorials](./tutorials/).
+To learn more, see the [TensorFlow tutorials](../tutorials/).
 
 ## Common installation problems
 
diff --git a/tensorflow/docs_src/install/install_sources.md b/tensorflow/docs_src/install/install_sources.md
index afd73ab872..fc1f6d05bd 100644
--- a/tensorflow/docs_src/install/install_sources.md
+++ b/tensorflow/docs_src/install/install_sources.md
@@ -372,7 +372,7 @@ TensorFlow programs:
 
 <pre>Hello, TensorFlow!</pre>
 
-To learn more, see the [TensorFlow tutorials](./tutorials/).
+To learn more, see the [TensorFlow tutorials](../tutorials/).
 
 If the system outputs an error message instead of a greeting, see [Common
 installation problems](#common_installation_problems).
diff --git a/tensorflow/docs_src/install/install_windows.md b/tensorflow/docs_src/install/install_windows.md
index b321b8f3be..7b7b17ce81 100644
--- a/tensorflow/docs_src/install/install_windows.md
+++ b/tensorflow/docs_src/install/install_windows.md
@@ -157,7 +157,7 @@ TensorFlow programs:
 If the system outputs an error message instead of a greeting, see [Common
 installation problems](#common_installation_problems).
 
-To learn more, see the [TensorFlow tutorials](./tutorials/).
+To learn more, see the [TensorFlow tutorials](../tutorials/).
 
 ## Common installation problems
 
diff --git a/tensorflow/docs_src/tutorials/_index.yaml b/tensorflow/docs_src/tutorials/_index.yaml
index 05b3e72390..6a4116a513 100644
--- a/tensorflow/docs_src/tutorials/_index.yaml
+++ b/tensorflow/docs_src/tutorials/_index.yaml
@@ -174,7 +174,7 @@ landing_page:
               <a href="/guide/estimators">Estimators guide</a>.
             </p>
             <ol style="padding-left: 20px;">
-              <li><a href="/tutorialstext_classification_with_tf_hub">How to build a simple text classifier with TF-Hub</a></li>
+              <li><a href="/hub/tutorials/text_classification_with_tf_hub">How to build a simple text classifier with TF-Hub</a></li>
               <li><a href="https://github.com/tensorflow/models/tree/master/official/boosted_trees">Classifying Higgs boson processes</a></li>
               <li><a href="/tutorials/representation/wide_and_deep">Wide and deep learning using estimators</a></li>
             </ol>
diff --git a/tensorflow/docs_src/tutorials/representation/kernel_methods.md b/tensorflow/docs_src/tutorials/representation/kernel_methods.md
index d11b62227d..f3c232c511 100644
--- a/tensorflow/docs_src/tutorials/representation/kernel_methods.md
+++ b/tensorflow/docs_src/tutorials/representation/kernel_methods.md
@@ -27,7 +27,7 @@ TensorFlow will provide support for sparse features at a later release.
 
 This tutorial uses [tf.contrib.learn](https://www.tensorflow.org/code/tensorflow/contrib/learn/python/learn)
 (TensorFlow's high-level Machine Learning API) Estimators for our ML models.
-If you are not familiar with this API, [tf.estimator Quickstart](../../../guide/estimators.md)
+If you are not familiar with this API, The [Estimator guide](../../guide/estimators.md)
 is a good place to start. We will use the MNIST dataset. The tutorial consists
 of the following steps: