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 ...
Read now
Unlock full access
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.