GLOSSARY > GENERATIVE ADVERSARIAL NETWORK

Generative Adversarial Network

A class of machine learning frameworks where two neural networks contest with each other in a game to generate new, synthetic instances of data.

Generative Adversarial Networks (GANs) consist of a generator creating fake data and a discriminator trying to detect it. This adversarial loop is historically critical for generating hyper-realistic synthetic data, specifically for training autonomous systems or augmenting datasets in privacy-constrained environments.

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