Generative Adversarial Networks (GANs)
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68 796 Ft
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Product details:
- Publisher Arcler Press
- Date of Publication 28 February 2026
- ISBN 9781779564177
- Binding Hardback
- No. of pages240 pages
- Size 229x152 mm
- Weight 666 g
- Language English 700
Categories
Short description:
Discover how GANs revolutionize AI by pitting neural networks against each other to create lifelike images, text, and data. Dive into their architecture, training methods, and multifaceted applications across healthcare, media, and research, offering key insights for students, data scientists, and AI practitioners.
MoreLong description:
Generative Adversarial Networks (GANs) are a class of machine learning models that have transformed the fields of artificial intelligence and creative technologies. By pitting two neural networks against each other, GANs generate highly realistic data, from images to text. This book explores the architecture, training methods, and diverse applications of GANs in healthcare, media, and research. With its in-depth analysis, it is essential for students, data scientists, and AI practitioners seeking to master this groundbreaking technology.
MoreTable of Contents:
- Chapter 1 Introduction to Generative Adversarial Networks (GANs)
- Chapter 2 Architecture of Generative Adversarial Networks
- Chapter 3 Types of Generative Adversarial Networks
- Chapter 4 Training Generative Adversarial Networks (GANs)
- Chapter 5 Security Issues in Generative Adversarial Networks
- Chapter 6 Image Editing Using GANs
- Chapter 7 Practical Applications of GANs
- Chapter 8 Advanced Concepts in GANs
