The demo program presented in this article uses image data, but the autoencoder anomaly detection technique can work with any type of data. The demo begins by creating a Dataset object that stores the ...

They can be used for a variety of applications, such as image compression, anomaly detection, and generating new data. When training an autoencoder for anomaly detection, the goal is to learn a ...

Anomaly detection is an effective approach of dealing with problems ... Gradient descent can be used for fine-tuning the weights in such ‘‘autoencoder’’ networks, but this works well only if the ...

Abstract: Anomaly detection is critical given the raft of cyber attacks in the wireless communications these days. It is thus a challenging task to determine network anomaly more accurately. In this ...

The demo program presented in this article uses image data, but the autoencoder anomaly detection technique can work with any type of data. The demo begins by creating a Dataset object that stores the ...