The Keras 4 Step Workflow

@machinelearnbot 

Francois Chollet, in his book "Deep Learning with Python," outlines early on an overview for developing neural networks with Keras. Generalizing from a simple MNIST example earlier in the book, Chollet simplifies the network building process, as relates directly to Keras, to 4 main steps. This is not a machine learning workflow, nor is it a complete framework for approaching a problem to solve with deep learning. These 4 steps pertain solely to the portion of your overall neural network machine learning workflow where Keras comes into play. While Chollet then spends the rest of his book sufficiently filling in the necessary details to utilize it, let's take a preliminary look at the workflow by way of an example.