Generative adversarial networks: Difference between revisions
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Revision as of 02:53, 15 January 2026
Generative adversarial networks
A machine learning framework in which two neural networks contest with each other in the form of a zero-sum game, where one agent’s gain is another agent’s loss. A GAN learns to generate new data with the same statistics as the training set.
Source: NIST AI 100-2e2025 | Category: