Building a regression model for prediction using an MLP deep neural network

In any real job working in an AI team, one of the primary goals will be to build regression models that can make predictions in non-linear datasets. Because of the complexity of the real world and the data that you'll be working with, simple linear regression models won't provide the predictive power you're seeking. That is why, in this chapter, we will discuss how to build world-class prediction models using MLP. More information can be found at http://www.deeplearningbook.org/contents/mlp.html, and an example of the MLP architecture is shown here:

An MLP with two hidden layers

We will implement a neural network with a simple architecture of only two layers, using TensorFlow, that will perform regression on the MNIST dataset (http://yann.lecun.com/exdb/mnist/) that we will provide. We...