Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

S. K. Adari, S. AllaBeginning Anomaly Detection Using Python-Based Deep Learninghttps://doi.org/10.1007/979-8-8688-0008-5_6

6. Autoencoders

Suman Kalyan Adari¹   and Sridhar Alla²

(1)

Tampa, FL, USA

(2)

Delran, NJ, 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, this chapter covers the following topics:

• What are autoencoders?

• Simple autoencoders

• Sparse autoencoders

• Deep autoencoders

• Convolutional autoencoders

• Denoising autoencoders

• Variational autoencoders

Note ...