Paul de Kerret

Training LSTM for Unsupervised Anomaly Detection Without A Priori Knowledge

Unsupervised anomaly detection on time-series is widespread in the industry and an active research topic. Recently, impressive results have been obtained by leveraging the progresses of deep learning, and in particular through the use of Long Short Term Memory (LSTM) neural networks. Yet, latest sta…