Tag: #wasserstein
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 1 posts
GAN Paper Deep Dive: How Generative Adversarial Networks Ushered in the Era of AI-Generated Content
From Ian Goodfellow's original GAN paper through DCGAN, WGAN, Progressive GAN, and StyleGAN -- we analyze the core theory of generative adversarial networks including the minimax game, Nash equilibrium, and training inst
2026-03-01 · 34 min read #gan#generative-model#adversarial-training#deep-learning#image-generation