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 ...

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 ...

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

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, ...