Autoencoder

An autoencoder is a neural network trained to compress its input into a smaller representation and then reconstruct the original from it, learning useful features without labels.

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