AI & Machine Learning · Intermediate

Generative Adversarial Network (GAN)

A generative model in which a generator and a discriminator are trained against each other.

Definition

The generator creates synthetic samples while the discriminator tries to tell real from fake; competition drives the generator toward realistic outputs. GANs produce sharp images but can be unstable and suffer mode collapse. Diffusion models have largely overtaken them for image generation.

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