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 ...
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