When there are a large number of classes we need to predict, deep neural networks are really great performers relative to other models. When the number of features in the input vector grows large, neural networks are a natural fit. When both of those situations converge on the same problem, a neural network might be where I started. That's exactly the type of problem we will see in the case study we will be working on this chapter.