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Deep Learning in Gaming and Animations
Principles and Applications
von Vikas Chaudhary, Moolchand Sharma, Prerna Sharma, Deevyankar Agarwal
Verlag: Taylor & Francis
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Speicherplatz: 10 MB
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ISBN: 978-1-000-50434-7
Auflage: 1. Auflage
Erschienen am 07.12.2021
Sprache: Englisch
Umfang: 174 Seiten

Preis: 62,99 €

Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

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.



Vikas Chaudhary, Deevyankar Agarwal



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


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