GLOSSARY TERM
What is Gradient Penalty?
A regularization method often used to enforce Lipschitz continuity in GANs.
Gradient penalty computes the gradient of the discriminator's output with respect to its input and penalizes deviations from a norm of one. It provides stable training dynamics for Wasserstein GAN architectures.
Advanced Regularization
Deploy complex generative models securely with advanced stabilization.