Anomaly detection is the process of finding items in a dataset ... 1.0] to match the input values. Many of the autoencoder examples I see online use relu() activation for interior layers. The relu() ...

For example, if vector v1 = (3.0 ... give you the n most anomalous data items instead of just the single most anomalous. The neural autoencoder anomaly detection technique presented in this article is ...

LLC (BEA), offering the opportunity for SRV to enter into a license and/or collaborative research agreement to commercialize this variational autoencoder for network anomaly detection.