Applied Unsupervised Learning with Python

Chapter 5

Autoencoders

Learning Objectives

By the end of this chapter, you will be able to do the following:

• Explain where autoencoders can be applied and their use cases
• Understand how artificial neural networks are implemented and used
• Implement an artificial neural network using the Keras framework
• Explain how autoencoders are used in dimensionality reduction and denoising
• Implement an autoencoder using the Keras framework
• Explain and implement an autoencoder model using convolutional neural networks

In this chapter, we will take a look at autoencoders and their applications.

Introduction

This chapter continues our discussion of dimensionality reduction techniques as we turn our attention to autoencoders. Autoencoders are a particularly ...