Deep Learning in Gaming and Animations (eBook, PDF)

Principles and Applications
Redaktion: Chaudhary, Vikas; Agarwal, Deevyankar; Sharma, Prerna; Sharma, Moolchand

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 174
• Erscheinungstermin: 7. Dezember 2021
• Englisch
• ISBN-13: 9781000504347
• Artikelnr.: 62782665

Autorenporträt

Vikas Chaudhary, Deevyankar Agarwal

Inhaltsangabe

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