Generative Adversarial Networks in Practice

Mehdi Ghayoumi (University of San Diego)

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English

Chapman & Hall/CRC
20 December 2023

Automatic control engineering; Databases; Machine learning; Neural networks & fuzzy systems

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.

Key Features:

Guides you through the complex world of GANs, demystifying their intricacies

Accompanies your learning journey with real-world examples and practical applications

Navigates the theory behind GANs, presenting it in an accessible and comprehensive way

Simplifies the implementation of GANs using popular deep learning platforms

Introduces various GAN architectures, giving readers a broad view of their applications

Nurture your knowledge of AI with our comprehensive yet accessible content

Practice your skills with numerous case studies and coding examples

Reviews advanced GANs, such as DCGAN, cGAN, and CycleGAN, with clear explanations and practical examples

Adapts to both beginners and experienced practitioners, with content organized to cater to varying levels of familiarity with GANs

Connects the dots between GAN theory and practice, providing a well-rounded understanding of the subject

Takes you through GAN applications across different data types, highlighting their versatility

Inspires the reader to explore beyond this book, fostering an environment conducive to independent learning and research

Closes the gap between complex GAN methodologies and their practical implementation, allowing readers to directly apply their knowledge

Empowers you with the skills and knowledge needed to confidently use GANs in your projects

Prepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice. This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner, making it an essential resource for both beginners and experienced practitioners.

By: Mehdi Ghayoumi (University of San Diego)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.400kg
ISBN: 9781032248448
ISBN 10: 1032248440
Pages: 642
Publication Date: 20 December 2023
Audience: College/higher education , Professional and scholarly , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Dr. Mehdi Ghayoumi is an Assistant Professor at the State University of New York (SUNY) at Canton. With a strong focus on cutting-edge technologies, he has dedicated his expertise to areas including Machine Learning, Machine Vision, Robotics, Human-Robot Interaction (HRI), and privacy. Dr. Ghayoumi’s research revolves around constructing sophisticated systems tailored to address the complexities and challenges within these fields, driving innovation and advancing the forefront of knowledge in his respective areas of expertise.