After training, when a data item is fed to the autoencoder, the values in the hidden nodes are a reduced version of the input data. The reduced form is sometimes called an embedding, or a latent ...

By contrast, the Swapping Autoencoder is lightweight, using image swapping as a “pretext” task for learning an embedding space useful for image manipulation. It encodes a given image into two ...

This article explains how to use a PyTorch neural autoencoder to find anomalies in a dataset. A good way to see where this article is headed is to take a look at the screenshot of a demo program in ...