Wasserstein GAN

E290870 UNEXPLORED

Wasserstein GAN is a variant of generative adversarial networks that improves training stability and sample quality by optimizing the Wasserstein (Earth Mover’s) distance between real and generated data distributions.

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Observed surface forms (1)

Surface form	Occurrences
WGAN	1

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Generative Adversarial Networks → notableVariant → Wasserstein GAN ⓘ

this entity surface form: WGAN