February 2019
Beginner to intermediate
308 pages
7h 42m
English
So far in this book, we have looked at the applications of neural networks for supervised learning. Specifically, in each project, we have a labeled dataset (that is, features x and label y) and our goal is to train a neural network using this dataset, so that the neural network is able to predict label y from any new instance x.
A typical feedforward neural network is shown in the following diagram:

In this chapter, we will study a different class of neural networks, known as autoencoders. Autoencoders represent a paradigm shift from the conventional neural networks we have seen so far. The goal of autoencoders is ...