Fr. 80.00

Deep Learning in Gaming and Animations - Principles and Applications

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

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The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation.

List of contents










Chapter 1 Checkers-AI
Priyanshi Gupta , Vividha and Preeti Nagrath
Chapter 2 The Future of Automatically Generated Animation with AI
Preety Khatri
Chapter 3 Artificial Intelligence as Futuristic Approach for Narrative Gaming
Toka Haroun, Vikas Rao Naidu, and Aparna Agarwal
Chapter 4 Review on Using Artificial Intelligence Related Deep Learning Techniques in Gaming and Recent Networks
Mujahid Tabassum, Sundresan Perumal, Hadi Nabipour Afrouzi, Saad Bin Abdul Kashem, and Waqar Hassan
Chapter 5 A Review on Deep Learning Algorithms for Image Processing in Gaming and Animations
Sugandha Chakraverti, Ashish Kumar Chakraverti, Piyush Bhushan Singh, and Rakesh Ranjan
Chapter 6 Artificial Intelligence in Games
Abhisht Joshi, Moolchand Sharma, and Jafar Al Zubi
Chapter 7 A Framework for Estimation of Generative Models Through an Adversarial Process for Production of Animated Gaming Characters
Saad Bin Khalid and Bramah Hazela
Chapter 8 Generative Adversarial Networks Based PCG for Games
Nimisha Mittal, Priyanjali Pratap Singh, and Prerna Sharma


About the author










Vikas Chaudhary, Deevyankar Agarwal

Summary

The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation.

Product details

Assisted by Deevyankar Agarwal (Editor), Vikas Chaudhary (Editor), Moolchand Sharma (Editor), Prerna Sharma (Editor)
Publisher Taylor and Francis
 
Languages English
Product format Paperback / Softback
Released 04.10.2024
 
EAN 9781032139302
ISBN 978-1-032-13930-2
No. of pages 156
Weight 453 g
Illustrations schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Series Explainable AI XAI for Engineering Applications
Subjects Humanities, art, music > Art
Natural sciences, medicine, IT, technology > IT, data processing > IT

TECHNOLOGY & ENGINEERING / Automation, Automatic control engineering, Programming & scripting languages: general, Programming and scripting languages: general, COMPUTERS / Languages / General

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