AI engineering glossary · Generative media multimodal
What is GAN (generative adversarial network)?
Generative adversarial network (also called GAN): A generative model made of two networks trained against each other: a generator that fabricates samples and a discriminator that tries to tell them from real data. As each improves, the generator learns to produce outputs the discriminator can no longer separate from real ones.
Generative adversarial network: an example
A GAN trained on 70,000 face photos learns to output new, realistic faces of people who do not exist.
Related terms
More Generative media multimodal terms
- Grapheme-to-phoneme
- Guidance scale
- Image captioning
- Image tokenizer
- Image-to-image translation
- Inception Score
- Inpainting
- Late fusion
Where you learn it
Generative adversarial network is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.