Arya M. Pathakarya2004.hashnode.dev·Nov 1, 2024Enhancing GAN Stability with Wasserstein Loss and Gradient PenaltyGenerative Adversarial Networks (GANs) are widely used to model complex data distributions, but traditional GANs, particularly those using Binary Cross-Entropy (BCE) loss, face significant issues that hinder effective training. In this article, we’ll...10 likesThe GAN Guide: From Basics to BreakthroughsArtificial IntelligenceAdd a thoughtful commentNo comments yetBe the first to start the conversation.
