generative adversarial network
A system to create new data in which a generator creates data and a discriminator determines whether that created data is valid or invalid.
Plain English Explanation
A system to create new data in which a generator creates data and a discriminator determines whether that created data is valid or invalid. See the Generative Adversarial Networks course for more information.
How is it used?
Practitioners refer to generative adversarial network when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.