Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch

© Sridhar Alla, Suman Kalyan Adari 2019

S. . Alla, S. K. AdariBeginning Anomaly Detection Using Python-Based Deep Learninghttps://doi.org/10.1007/978-1-4842-5177-5_4

4. Autoencoders

Sridhar Alla¹  and Suman Kalyan Adari²

(1)

New Jersey, NJ, USA

(2)

Tampa, FL, USA

 

In this chapter, you will learn about autoencoder neural networks and the different types of autoencoders. You will also learn how autoencoders can be used to detect anomalies and how you can implement anomaly detection using autoencoders.

In a nutshell, the following topics will be covered throughout this chapter:

• What are autoencoders?

• Simple autoencoders

• Sparse autoencoders

• Deep autoencoders

• Convolutional autoencoders

• Denoising autoencoders

• Variational autoencoders

What Are Autoencoders?

In the previous ...