Let's build our intuition around this project. What we need to do is build a deep learning technology that accurately assigns class labels to an input image. We're using a deep neural network, known as an MLP, to do this. The core of this technology is the mathematics of regression. The specific calculus proofs are outside the scope of this book, but in this section, we provide a foundational basis for your understanding. We also outline the structure of the project, so that it's easy to understand the primary steps needed to create our desired results.
Intuition and preparation
Defining regression
Our first task is to define the model that will perform regression on the provided MNIST dataset. So, we will...
