Visual Studio Magazine

Autoencoder Anomaly Detection Using PyTorch

Training an autoencoder network is similar to training a regular neural network. The computed output of an autoencoder acts as the target values, rather than using explicit target values stored in a ...
Nature

ECG autoencoder based on low-rank attention

The prevalence of cardiovascular disease (CVD) has surged in recent years, making it the foremost cause of mortality among humans. The Electrocardiogram (ECG), being one of the pivotal diagnostic ...
Nature

A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms

IoT networks’ intrinsic complexity and variety make cross-layer-based IoT threat detection vital for defending IoT ecosystems. Security techniques that use a cross-layer approach might identify ...
Visual Studio Magazine

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 different from the majority for tasks like ...