Generative Adversarial Networks in Practice

Name: Generative Adversarial Networks in Practice
Brand: Atlantic Books
SKU: 9781032250588
Price: 4484.0 INR
Availability: InStock

by Mehdi Ghayoumi

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ISBN13: 9781032250588
Binding: Paperback
Subject: N/A
Publisher: CRC Press
Publisher Imprint: CRC Press
Publication Date: November 27, 2025
Pages: 642
Original Price: GBP 52.99
Language: English
Edition: 1
Item Weight: 1148 grams
BISAC Subject(s): Programming / Games

About The Book

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.

About The Author

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.

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