The new technology employs an autoencoder network and introduces an attention mechanism to address the challenges of insufficient data, cold starts and information overload that exist in ...

This article explains how to use a PyTorch neural autoencoder to find anomalies in a dataset. A good way to see where this article is headed is to take a look at the screenshot of a demo program in ...

Researchers at Idaho National Lab developed a mechanism for detecting network packet anomalies indicative of a network attack using the reconstruction probability from a variational autoencoder.

This is called dimensionality reduction. The two most common techniques for dimensionality reduction are using PCA (principal component analysis) and using a neural autoencoder. This article explains ...