Dictionary · Artificial Intelligence: Background, Selected Issues, and Policy Considerations

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.