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Binary cross-entropy loss (BCELoss) can sometimes lead to training instability in GANs. To achieve more stable training, consider using alternative losses, such as the Wasserstein GAN (WGAN) loss, which minimizes the Earth-Mover (Wasserstein) distance and can reduce training oscillations.
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veeradi34
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#16 Consider Alternative Loss Functions for Stability (DCGAN)
#16 Consider Alternative Loss Functions for Stability
Oct 18, 2024
tushroy81
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#16 Consider Alternative Loss Functions for Stability
[GAN] #16 Consider Alternative Loss Functions for Stability
Oct 18, 2024
Binary cross-entropy loss (BCELoss) can sometimes lead to training instability in GANs. To achieve more stable training, consider using alternative losses, such as the Wasserstein GAN (WGAN) loss, which minimizes the Earth-Mover (Wasserstein) distance and can reduce training oscillations.
The text was updated successfully, but these errors were encountered: