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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• 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