TFLearn

TFLearn is a library that wraps a lot of new TensorFlow APIs with the nice and familiar scikit-learn API.

TensorFlow is all about a building and executing graphs. This is a very powerful concept, but it is also cumbersome to start with.

Looking under the hood of TF.Learn, we just used three parts:

• layers: A set of advanced TensorFlow functions that allow us to easily build complex graphs, from fully connected layers, convolution, and batch norm to losses and optimization.

• graph_actions:  A set of tools to perform training, evaluating, and running inference on TensorFlow graphs.

• Estimator: This packages everything into a class that follows scikit-learn interface and provides a way to easily build and train custom TensorFlow models.

Installation

To install TFLearn, the easiest way is to run the following command:

pip install git+https://github.com/tflearn/tflearn.git

For the latest stable version, use this command:

pip install tflearn

Otherwise, you can also install it from source by...