Generative Adversarial Networks and Deep Learning - Theory and Applications

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio.

List of contents

1. Generative Adversarial Networks and Its Use cases. 2. Image-to-Image Translation using Generative Adversarial Networks. 3. Image Editing Using Generative Adversarial Network. 4. Generative Adversarial Networks for Video to Video Translation. 5. Security Issues in Generative Adversarial Networks. 6. Generative Adversarial Networks aided Intrusion Detection System. 7. Textual Description to Facial Image Generation. 8. An application of Generative Adversarial Network in Natural Language Generation. 9. Beyond image synthesis: GAN and Audio: It covers how GAN will be used for audio synthesis along with its applications. 10. A Study on the Application Domains of Electroencephalogram for the Deep Learning-Based Transformative Healthcare. 11. Emotion Detection using Generative Adversarial Network. 12. Underwater Image Enhancement Using Generative Adversarial Network. 13. Towards GAN Challenges and Its Optimal Solutions.

Summary

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio.

Product details

• Authors: Roshani (Pimpri Chinchwad College of Enginee Raut
• Assisted by: Pranav D Pathak (Editor), Sonali Patil (Editor), Sachin R Sakhare (Editor), Roshani Raut (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 19.12.2024
• EAN: 9781032068114
• ISBN: 978-1-0-3206811-4
• No. of pages: 208
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; machine learning, Artificial Intelligence, COMPUTERS / Machine Theory, Mathematical theory of computation, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems