Packages used for this tutorials:

• wget
• tensorflow
• keras
• numpy
• scikit-learn

Tensorflow Installation

• Installation Guid of TensorFlow

# using pip3 to install the tensorflow for Python 3.n
pip3 install --upgrade tensorflow

Note: the current version of TensorFlow is 1.1

• TensorFlow API r1.1

Approach

• load a CSV dataset and make it available to Keras.
• create a neural network model with Keras for a regression problem.
• use scikit-learn with Keras to evaluate models using cross-validation. <!–
• perform data preparation in order to improve skill with Keras models.
• tune the network topology of models with Keras. –>

How to use this example?

• run the application.py to run the example (data will be fetched automatically)

Add Virtual Environment

• https://www.jetbrains.com/help/idea/2016.3/creating-virtual-environment.html

Change Logs

• Since the file can not be recognized by the interactive shell, refered to this stackoverflow reference. The file is not anymore used in the application.py.

Issues

• while using the virtual environment, the virtual env shall also be added to the SDK of IntelliJ and this virtual env shall be choosen in the project structure settings of the particular IntelliJ project