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modified tensorflow installation instructions
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README.md

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@@ -21,8 +21,6 @@ In order to run this tutorial, you will need the following Python packages:
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* skflow
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* tensorflow
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(skflow is not part of tensorflow ??)
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The first five packages can be installed with the following command:
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```
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conda install numpy pandas seaborn scikit-learn
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```
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For TensorFlow, the installation depends on your environment. Below are installation instructions. For detailed
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For **TensorFlow**, the installation depends on your environment. Below are installation instructions. For detailed
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instuctions, please see the TensorFlow
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[README](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md) file.
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[Download and Setup](https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#download-and-setup) page.
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Note, **skflow** is now part of the TensorFlow library. Once you have installed TensorFlow, you can load skflow with
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the following command:
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```
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import tensorflow.contrib.learn as skflow
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```
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For detailed instructions about skflow, please read [Skflow Readme](https://github.com/tensorflow/skflow).
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### NOTE:
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What's better to use? The virtual environment or normal pip installation?

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