Learn Python Generative AI

This book serves as a complete guide to GenAI, covering foundational concepts and advanced system design. It begins with core principles of generative modeling, explaining probabilistic approaches and how they differ from traditional machine learning methods. The journey then moves into GANs, including their architecture, variants, training challenges, and evaluation techniques. Readers are introduced to VAEs, focusing on latent space representation, probabilistic learning, and practical design