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Oct 8, 2022 · Artificial Intelligence
Wasserstein GAN (WGAN): Theory and Hands‑On Implementation
This article explains why traditional GANs suffer from training instability, introduces the Wasserstein (Earth‑Mover) distance as a smoother alternative, derives the WGAN objective, discusses Lipschitz constraints, and provides practical PyTorch code modifications to convert a vanilla GAN into a stable WGAN.
GANMachine LearningPyTorch
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