Time series anomaly detection — in the era of deep learning
Part 2 of 3
by Sarah Alnegheimish
In the previous post, we looked at time series data and anomalies. (If you haven’t done so already, you can read the article here.) In part 2, we will discuss time series reconstruction using generative adversarial networks (GAN)¹ and how reconstructing time series can be used for anomaly detection².