First, we will look at computer vision. Let's start with an example. Our client, Joe, likes animals. He is the happy owner of six cats and three dogs. Being a happy owner, he also likes to take pictures of his pets. Large photo archives have accumulated on his computer over the years. Joe has decided that he needs to bring order into his dreaded photo folder, containing 50,000 pet photos. To help Joe, we have decided to create a neural network that takes an image and decides whether a cat or dog is present on the photo. The following diagram shows how a neural network classifier works with a cat photo:
At first, ...
