GAN — Generative Adversarial Network
Definition: Two networks trained against each other — one generates, one critiques — until the output fools the critic. GANs powered the first wave of synthetic media; diffusion models then ate most of the market.
Example
Our synthetic data pipeline started with a GAN — modern diffusion would be the choice if we built it today.
When you'll hear it
GAN shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to generative adversarial network — and they expect the room to already know what that means.
FAQs
What does GAN stand for?
GAN stands for Generative Adversarial Network.
What does GAN mean in AI and machine-learning?
Two networks trained against each other — one generates, one critiques — until the output fools the critic. GANs powered the first wave of synthetic media; diffusion models then ate most of the market.
Where will I hear GAN used at work?
GAN comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for generative adversarial network, so people assume you already know the term.
Related terms
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