Mastering GenAI: Python Edition (with All Codes and Concepts)

By Husn Ara

"Mastering GenAI " is an extensive guidebook that delves into the realm of generative artificial intelligence (AI), exploring its principles, techniques, and applications. This comprehensive book serves as a roadmap for both beginners and seasoned practitioners, offering insights into the latest advancements and practical implementations of generative AI. The book begins with an introduction to the fundamental concepts of generative AI, providing readers with a solid understanding of the underlying principles and methodologies. It covers various generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, elucidating their architectures, training procedures, and real-world use cases. As readers progress through the chapters, they are introduced to advanced topics such as conditional generation, multimodal generation, and unsupervised learning, gaining hands-on experience through code examples and tutorials. The book also explores cutting-edge research and emerging trends in the field, offering insights into the future directions of generative AI. With practical guidance and actionable insights, "Mastering GenAI " equips readers with the knowledge and skills needed to harness the power of generative AI for a wide range of applications, including art generation, content creation, natural language processing, and more. Whether you're a data scientist, AI enthusiast, or industry professional, this book serves as an invaluable resource for mastering the art and science of generative AI.

• Format: Paperback
• Language: English
• ISBN: B0D6KV7NMY
• ISBN13: 9798327918481
• Release Date: June 2024
• Publisher: Independently published
• Length: 270 Pages
• Weight: 1.04 lbs.
• Dimensions: 9.0" x 0.6" x 6.0"