Variational autoencoder

A variational autoencoder is a generative autoencoder that learns a smooth probability distribution over its latent space, so new data can be generated by sampling points from that space.

Variational autoencoder sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called VAE.