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The Unsupervised Learning Workshop
book

The Unsupervised Learning Workshop

by Aaron Jones, Christopher Kruger, Benjamin Johnston, Richard Brooker, John Wesley Doyle, Priyanjit Ghosh, Sani Kamal, Ashish Pratik Patil, Philip Solomon, Geetank Raipuria
July 2020
Intermediate to advanced content levelIntermediate to advanced
550 pages
9h 58m
English
Packt Publishing
Content preview from The Unsupervised Learning Workshop

5. Autoencoders

Overview

In this chapter, we will look at autoencoders and their applications. We will see how autoencoders are used in dimensionality reduction and denoising. We will implement an artificial neural network and an autoencoder using the Keras framework. By the end of this chapter, you will be able to implement an autoencoder model using convolutional neural networks.

Introduction

We'll continue our discussion of dimensionality reduction techniques as we turn our attention to autoencoders. Autoencoders are a particularly interesting area of focus as they provide a means of using supervised learning based on artificial neural networks but in an unsupervised context. Being based on artificial neural networks, autoencoders are ...

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Publisher Resources

ISBN: 9781800200708Supplemental Content