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_9

9. Temporal Convolutional Networks

Suman Kalyan Adari¹   and Sridhar Alla²

(1)

Tampa, FL, USA

(2)

Delran, NJ, USA

 

In this chapter, you will learn about temporal convolutional networks (TCNs). You will learn how TCNs work, how they can be used to detect anomalies, and how you can implement anomaly detection using a TCN.

In a nutshell, this chapter covers the following topics:

• What is a temporal convolutional network?

• Dilated temporal convolutional network

• Encoder-decoder temporal convolutional network

• TCN application

Note

Code examples are provided ...