1 files changed, 14 insertions, 14 deletions
diff --git a/tensorflow/examples/learn/README.md b/tensorflow/examples/learn/README.md
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--- a/tensorflow/examples/learn/README.md
+++ b/tensorflow/examples/learn/README.md
@@ -7,28 +7,28 @@ See the [Quickstart tutorial](https://www.tensorflow.org/get_started/estimator)
 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`).
+(`pip install -U scikit-learn`). Some examples use the `pandas` library for data
+processing (`pip install -U pandas`).
 
 ## Basics
 
-* [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)
+* [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
 
-* [Deep Neural Network with Customized Decay Function]( https://www.tensorflow.org/code/tensorflow/examples/learn/iris_custom_decay_dnn.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]( 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)
+* [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]( 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)
+* [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)