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 ...

There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...