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 ...

Autoencoder: A neural network architecture designed to learn compressed representations of data, ... Anomaly Detection in Images Using Deep Learning Techniques Publication Trend.

Data Anomaly Detection Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data ...