Deep Neural Networks

In this module you're going to learn about deep neural networks. We'll start by learning how neural networks work, by building a simple regression model for detecting cats in images and converting the model into a neural network. We'll also study the effect of hidden layers on the behavior of neural networks, and investigate neural activation functions.

We'll conclude with an overview of the neural network training process, look at training- and validation losses, and investigate the curious case when these two start to diverge during training.