Building an example CNN

To illustrate how a CNN works in practice, we will be building a model to recognize whether an object in a photo is a cat or not. The dataset we are using has more depth than this, but it would take a rather long time to train it to correctly classify everything. It is fairly trivial to extend the example to classify everything, but we would rather not be sitting there for a week waiting for the model to train.

For our example, we will be using the following structure:

CIFAR-10

We are using CIFAR-10 for our example this time instead of MNIST. As such, we do not have the convenience of using the already convenient MNIST loader. Let's quickly go through what it takes to load this new dataset!

We...