GAN
E971755
UNEXPLORED
GAN (Generative Adversarial Network) is a machine learning framework in which two neural networks compete in a zero-sum game to generate realistic synthetic data such as images, audio, or text.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GAN canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.