Exploring Generative Adversarial Networks and Meta-learning Synergies

Simaiya, Sarita (EDT); Lilhore, Umesh Kumar (EDT); Sharma, Yogesh Kumar (EDT); Kumar, Sandeep (EDT)

ISBN 13: 9798369375761

Published by IGI Global, 2025

About this Item

Unread book in perfect condition.

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Bibliographic Details

• Title: Exploring Generative Adversarial Networks and Meta-learning Synergies
• Publisher: IGI Global
• Publication Date: 2025
• Language: English
• ISBN 13: 9798369375761
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

Generative Adversarial Networks (GANs) and Meta-Learning synergies can be combined and leveraged to enhance the capabilities of artificial intelligence (AI) systems, particularly in areas such as image generation, style transfer, few-shot learning, and domain adaptation. These techniques can be integrated to develop more robust and efficient AI models. Ultimately, understanding the theoretical foundations, implementation strategies, and practical applications of GANs and Meta-Learning can be used to address complex real-world challenges. Exploring Generative Adversarial Networks and Meta-Learning Synergies explores the intersection and synergy between two cutting-edge AI techniques: GANs and Meta-Learning. It showcases the potential of these synergies in advancing the field of AI and addressing complex real-world challenges. Covering topics such as neuromorphic computing, transfer learning, and visual speech recognition, this book is an excellent resource for computer scientists, entrepreneurs, healthcare professionals, professionals, researchers, scholars, academicians, and more.