Generative Adversarial Networks and Deep Learning

Theory and Applications
Herausgeber: D Pathak, Pranav; Patil, Sonali; R Sakhare, Sachin; Raut, Roshani

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 208
• Erscheinungstermin: 19. Dezember 2024
• Englisch
• Abmessung: 178mm x 253mm x 15mm
• Gewicht: 424g
• ISBN-13: 9781032068114
• ISBN-10: 1032068116
• Artikelnr.: 72108044

Inhaltsangabe

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.