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_6

6. Long Short-Term Memory Models

Sridhar Alla¹  and Suman Kalyan Adari²

(1)

New Jersey, NJ, USA

(2)

Tampa, FL, USA

 

In this chapter, you will learn about recurrent neural networks and long short-term memory models. You will also learn how LSTMs work and 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 introduces you to many concepts using LSTM so as to enable you ...