Currently set to No Index

Anomaly Detection using Deep Auto-Encoders

One of the determinants for a good anomaly detector is finding smart data representations that can easily evince deviations from the normal distribution. Traditional supervised approaches would require a strong assumption about what is normal and what not plus a non negligible effort in labeling the training dataset.

Read Full Story