Guided Generative Adversarial Networks Learning to Generate Human Faces, Hands, Bodies, and Natural Scenes: Learning to Generate Human Faces, Hands, B - Jackson, Ana
35,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
  • Broschiertes Buch

Guided Generative Adversarial Networks: Learning to Generate Human Faces, Hands, Bodies, and Natural Scenes" is a groundbreaking book authored by Ana Jackson that delves into the exciting world of generative adversarial networks (GANs) and their application in the creation of realistic human faces, hands, bodies, and natural scenes. In this comprehensive guide, Ana Jackson, an esteemed expert in the field of deep learning and computer vision, presents a comprehensive exploration of GANs and their potential in generating high-fidelity, visually compelling content. She provides a step-by-step…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Guided Generative Adversarial Networks: Learning to Generate Human Faces, Hands, Bodies, and Natural Scenes" is a groundbreaking book authored by Ana Jackson that delves into the exciting world of generative adversarial networks (GANs) and their application in the creation of realistic human faces, hands, bodies, and natural scenes. In this comprehensive guide, Ana Jackson, an esteemed expert in the field of deep learning and computer vision, presents a comprehensive exploration of GANs and their potential in generating high-fidelity, visually compelling content. She provides a step-by-step approach to understanding the underlying principles of GANs and harnessing their power to create stunning and lifelike representations of human features and natural environments. The book begins with an introduction to the fundamental concepts of GANs, ensuring readers have a solid understanding of the technology. Ana Jackson then introduces innovative techniques such as conditional GANs and attention mechanisms, enabling readers to guide the generation process and produce specific visual elements of interest. She covers topics ranging from facial expression synthesis and hand pose estimation to full-body generation and the synthesis of natural scenes, providing in-depth explanations and practical examples. Ana Jackson's expertise and clarity shine through in her writing, making complex concepts accessible to readers of all levels. Each chapter includes hands-on exercises and code samples, allowing readers to experiment with the techniques discussed and gain a deeper understanding of the implementation details. "Guided Generative Adversarial Networks" is an indispensable resource for researchers, practitioners, and enthusiasts interested in the cutting-edge field of generative adversarial networks. It offers valuable insights, practical knowledge, and a wealth of examples to inspire and empower readers to push the boundaries of computer vision and create astonishing visual content using GANs. Whether you are a seasoned professional or a newcomer to the field, this book will equip you with the skills and knowledge to embark on your own creative journey in generative art and design.