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_8

8. Long Short-Term Memory Models

Suman Kalyan Adari¹   and Sridhar Alla²

(1)

Tampa, FL, USA

(2)

Delran, NJ, USA

 

In this chapter, you will learn about recurrent neural networks (RNNs) and long short-term memory (LSTM) models. You will also learn how LSTMs work, how they can be used to detect anomalies, and how you can implement anomaly detection using LSTM. You will work through several datasets depicting time Series of different types of data, such as CPU utilization, taxi demand, etc., to illustrate how to detect anomalies. This chapter ...