Autoencoder Anomaly Detection Using PyTorch. Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are ...

Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.

The demo analyzes a dataset of 3,823 images of handwritten digits where each image is 8 by 8 pixels. The demo program presented in this article uses image data, but the autoencoder anomaly detection ...