Dive Deep into Deep Neural Networks

In this chapter, you will learn about a topic that has changed the way we think about autonomous driving: Artificial Neural Networks (ANNs). Throughout this chapter, you will learn how these algorithms can be used to build a self-driving car perception stack, and you'll learn about the different components needed to design and train a deep neural network. This chapter will teach you everything you need to know about ANNs. You will also learn about the building blocks of feedforward neural networks, a very useful basic type of ANN. Specifically, we'll look at the hidden layers of a feedforward neural network. These hidden layers are important as they differentiate the mode of action of neural networks from the rest of the Machine Learning (ML) algorithms. We'll begin by looking at the mathematical definition of feedforward...