generative adversarial network (gan)

Stub entry: single definition derived from the NIST trustworthy-AI glossary; sector-specific readings not yet documented — contributions welcome.

Generative adversarial networks (GANs) consist of two competing neural networks—a generator network that tries to create fake outputs (such as pictures), and a discriminator network that tries to determine whether the outputs are real or fake. A major advantage of this structure is that GANs can learn from less data than other deep learning algorithms.

NIST AIRC, The Language of Trustworthy AI glossary (public-domain compilation), entry 'generative adversarial network (gan)', definition attributed to CRS_AI