Deep Learning is taking research by storm with applications in ad technology, image recognition,self driving cars, and speech processing. In this talk we will talk about another area of application for deep learning: anomaly detection. Anomaly detection includes areas such as: preventative maintenance in factories, network intrusion, and fraud detection. In this talk we will cover why deep learning is suitable for this area of application and two approaches for doing anomaly detection with deep learning.

We will finish with an end-to-end production case study to show how a complete AI stack can be built for this use case.