Fixed links in readme.

PiperOrigin-RevId: 158948423

1 files changed, 22 insertions, 19 deletions

diff --git a/tensorflow/examples/learn/README.md b/tensorflow/examples/learn/README.md
index 37157fc296..e5b34292b1 100644
--- a/tensorflow/examples/learn/README.md
+++ b/tensorflow/examples/learn/README.md
@@ -1,33 +1,36 @@
-# TF Learn Examples
+# Estimator Examples
 
-Learn is a high-level API for TensorFlow that allows you to create,
-train, and use deep learning models easily. See the [Quickstart tutorial](https://www.tensorflow.org/get_started/tflearn)
+TensorFlow Estimators are a high-level API for TensorFlow that allows you to
+create, train, and use deep learning models easily. 
+
+See the [Quickstart tutorial](https://www.tensorflow.org/get_started/tflearn)
 for an introduction to the API.
 
-To run most of these examples, you need to install the `scikit learn` library (`sudo pip install sklearn`).
-Some examples use the `pandas` library for data processing (`sudo pip install pandas`).
+To run most of these examples, you need to install the `scikit learn` library
+(`sudo pip install sklearn`). Some examples use the `pandas` library for data
+processing (`sudo pip install pandas`).
 
 ## Basics
 
-* [Deep Neural Network Regression with Boston Data](boston.py)
-* [Deep Neural Network Classification with Iris Data](iris.py)
-* [Building a Custom Model](iris_custom_model.py)
-* [Building a Model Using Different GPU Configurations](iris_run_config.py)
+* [Deep Neural Network Regression with Boston Data]( https://www.tensorflow.org/code/tensorflow/examples/learn/boston.py)
+* [Deep Neural Network Classification with Iris Data]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris.py)
+* [Building a Custom Model]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris_custom_model.py)
+* [Building a Model Using Different GPU Configurations]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris_run_config.py)
 
 ## Techniques
 
-* [Improving Performance Using Early Stopping with Iris Data](iris_val_based_early_stopping.py)
-* [Using skflow with Pipeline](iris_with_pipeline.py)
-* [Deep Neural Network with Customized Decay Function](iris_custom_decay_dnn.py)
+* [Improving Performance Using Early Stopping with Iris Data]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris_val_based_early_stopping.py)
+* [Using skflow with Pipeline]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris_with_pipeline.py)
+* [Deep Neural Network with Customized Decay Function]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris_custom_decay_dnn.py)
 
 ## Specialized Models
-* [Building a Random Forest Model](random_forest_mnist.py)
-* [Building a Wide & Deep Model](wide_n_deep_tutorial.py)
-* [Building a Residual Network Model](resnet.py)
+* [Building a Random Forest Model]( https://www.tensorflow.org/code/tensorflow/examples/learn/random_forest_mnist.py)
+* [Building a Wide & Deep Model]( https://www.tensorflow.org/code/tensorflow/examples/learn/wide_n_deep_tutorial.py)
+* [Building a Residual Network Model]( https://www.tensorflow.org/code/tensorflow/examples/learn/resnet.py)
 
 ## Text classification
 
-* [Text Classification Using Recurrent Neural Networks on Words](text_classification.py)
-* [Text Classification Using Convolutional Neural Networks on Words](text_classification_cnn.py)
-* [Text Classification Using Recurrent Neural Networks on Characters](text_classification_character_rnn.py)
-* [Text Classification Using Convolutional Neural Networks on Characters](text_classification_character_cnn.py)
+* [Text Classification Using Recurrent Neural Networks on Words]( https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification.py)
+* [Text Classification Using Convolutional Neural Networks on Words]( https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification_cnn.py)
+* [Text Classification Using Recurrent Neural Networks on Characters]( https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification_character_rnn.py)
+* [Text Classification Using Convolutional Neural Networks on Characters]( https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification_character_cnn.py)