The overall structure of the PyTorch autoencoder anomaly detection demo program, with a few minor edits to save space, is shown in Listing 3. I prefer to indent my Python programs using two spaces ...

In the paper, the researchers propose TadGAN: an “unsupervised anomaly detection approach built on Generative Adversarial Networks (GANs)” that “reconstruct[s] and assess[es] ... six deep learning ...

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 ...