Deep Learning in Gaming and Animations: Principles and Applications
暫譯: 遊戲與動畫中的深度學習:原則與應用

Chaudhary, Vikas, Sharma, Moolchand, Sharma, Prerna

  • 出版商: CRC
  • 出版日期: 2021-12-08
  • 售價: $4,910
  • 貴賓價: 9.5$4,665
  • 語言: 英文
  • 頁數: 156
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032126094
  • ISBN-13: 9781032126098
  • 相關分類: DeepLearning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of these systems are now available to the programmer via a range of so-called cognitive services. More recently, deep reinforcement learning has achieved ground-breaking success in several complex challenges.

This book makes an enormous contribution to this beautiful, vibrant area of study: an area that is developing rapidly both in breadth and depth. Deep learning can cope with a broader range of tasks (and perform those tasks to increasing levels of excellence). This book lays a good foundation for the core concepts and principles of deep learning in gaming and animation, walking you through the fundamental ideas with expert ease. This book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how artificial intelligence (AI), deep learning, and machine learning have changed the world in gaming and animation.

It gives us a motivation that AI can also be applied in gaming, and there are limited textbooks in this area. This book comprehensively addresses all the aspects of AI and deep learning in gaming. Also, each chapter follows a similar structure so that students, teachers, and industry experts can orientate themselves within the text. There are few books in the field of gaming using AI. Deep Learning in Gaming and Animations teaches you how to apply the power of deep learning to build complex reasoning tasks. After being exposed to the foundations of the machine and deep learning, you will use Python to build a bot and then teach it the game's rules. This book also focuses on how different technologies have revolutionized gaming and animation with various illustrations.

商品描述(中文翻譯)

在過去十年中,深度學習的進展對許多複雜問題產生了深遠且變革性的影響,包括語音識別、機器翻譯、自然語言理解和計算機視覺。因此,計算機現在能夠在廣泛的感知和識別任務中達到與人類競爭的表現。許多這些系統現在通過一系列所謂的認知服務提供給程序員。最近,深度強化學習在幾個複雜挑戰中取得了突破性的成功。

本書對這個美麗而充滿活力的研究領域做出了巨大貢獻:這是一個在廣度和深度上都在迅速發展的領域。深度學習能夠應對更廣泛的任務(並且在這些任務中表現出越來越高的卓越性)。本書為遊戲和動畫中的深度學習核心概念和原則奠定了良好的基礎,以專家的輕鬆方式引導您了解基本思想。本書以逐步的方式進行主題的深入探討。它通過一套完整的教學法來加強理論,旨在增強學生的理解並為他們提供實際應用的見解。此外,一些章節介紹並涵蓋了有關人工智慧(AI)、深度學習和機器學習如何改變遊戲和動畫世界的新穎想法。

這給了我們一個動機,即AI也可以應用於遊戲,而在這個領域的教科書有限。本書全面探討了遊戲中AI和深度學習的所有方面。此外,每一章都遵循相似的結構,以便學生、教師和行業專家能夠在文本中找到方向。在使用AI的遊戲領域中,相關書籍不多。《深度學習在遊戲和動畫中的應用》教您如何利用深度學習的力量來構建複雜的推理任務。在接觸到機器學習和深度學習的基礎後,您將使用Python來構建一個機器人,然後教它遊戲的規則。本書還專注於不同技術如何通過各種插圖徹底改變遊戲和動畫。

作者簡介

Vikas Chaudhary is working as a professor in the Computer Science & Engineering department at JIMS Engineering Management Technical Campus, Greater Noida. He has 18 years of teaching and research experience. He has obtained a Doctorate from the National Institute of Technology, Kurukshetra, India, in Machine Learning/ Unsupervised Learning. He has published various research papers in the International Journals of Springer, Elsevier, Taylor & Francis. Also, he has published various papers in IEEE International Conferences and national conferences. He is a reviewer of Springer Journal as well as of many IEEE conferences. He has written a book on Cryptography & Network Security. His research area is Machine Learning, Artificial Neural Networks.

Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU Delhi. He has published scientific research publications in reputed International Journals and Conferences, including SCI indexed and Scopus indexed Journals such as Cognitive Systems Research (Elsevier), Physical Communication(Elsevier), Intelligent Decision Technologies: An International Journal, Cyber-Physical Systems (Taylor & Francis Group), International Journal of Image & Graphics (World Scientific), International Journal of Innovative Computing and Applications (Inderscience) & Innovative Computing and Communication Journal (Scientific Peer-reviewed Journal). He has authored/co-authored in chapters with International publishers like Elsevier, Wiley, De Gruyter. He has authored/ edited three books with a National/International level publisher (CRC Press, Bhavya publications). His research area includes Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is associated with various professional bodies like ISTE, IAENG, ICSES, UACEE, Internet Society, etc. He possesses teaching experience of more than nine years. He is the co-convener of the ICICC-2018, ICICC-2019& ICICC-2020 springer conference series and also the co-convener of ICCRDA-2020 Scopus Indexed IOP Material Science &Engineering conference series. He is also the reviewer of many reputed journals like Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group and World Scientific Journal, and many springer conferences. He is currently a doctoral researcher at DCR University of Science & Technology, Haryana. He completed his Post Graduate in 2012 from SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD, and Graduate in 2010 from KNGD MODI ENGG. COLLEGE, GBTU.

Prerna Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU Delhi. She has authored/co-authored SCI-indexed journal and Scopus indexed journal articles in high ranked and prestigious journals such as Journal of Supercomputing(Springer), Cognitive Systems Research(Elsevier), Expert Systems (Wiley) International Journal of Innovative Computing and Applications (Inderscience). She has also authored book chapters with International level publishers (Wiley & Elsevier). She has extensively worked on Computational Intelligence. Her area of interest includes Artificial Intelligence, Machine learning, Nature-Inspired Computing, Soft Computing, and Cloud computing. She is associated with various professional bodies like IAENG, ICSES, UACEE, Internet Society, etc. She has a rich academic background and teaching experience of 8 years. She is a doctoral researcher at Delhi Technological University (DTU), Delhi. She completed her Post Graduate in 2011 from USIT, GGSIPU, and Graduate in 2009 from GPMCE, GGSIPU.

Deevyankar Agarwal is working as a lecturer in the Engineering Department-EEE Section (Computer Engineering) at the University of Technology & Applied Sciences(Public University), Muscat, Oman. He has 20 years of teaching and research experience. He is currently a doctoral researcher at the University of Valladolid, Spain. He has published various research papers in the International Journals of Springer, Elsevier, Taylor & Francis. Also, he has published various papers in IEEE International Conferences and national conferences. He is a reviewer of Springer Journal as well as of many IEEE conferences.

作者簡介(中文翻譯)

維卡斯·喬杜哈里 (Vikas Chaudhary) 目前在大諾伊達的 JIMS 工程管理技術校區的計算機科學與工程系擔任教授。他擁有 18 年的教學和研究經驗。他在印度庫魯克舍特拉國立技術學院獲得機器學習/無監督學習的博士學位。他在 Springer、Elsevier、Taylor & Francis 的國際期刊上發表了多篇研究論文。此外,他還在 IEEE 國際會議和國內會議上發表了多篇論文。他是 Springer 期刊以及多個 IEEE 會議的審稿人。他撰寫了一本有關密碼學與網絡安全的書籍。他的研究領域包括機器學習和人工神經網絡。

穆爾昌德·夏爾馬 (Moolchand Sharma) 目前是德里 GGSIPU 的馬哈拉賈·阿格拉森技術學院計算機科學與工程系的助理教授。他在知名的國際期刊和會議上發表了科學研究論文,包括 SCI 索引和 Scopus 索引的期刊,如 Cognitive Systems Research (Elsevier)、Physical Communication (Elsevier)、Intelligent Decision Technologies: An International Journal、Cyber-Physical Systems (Taylor & Francis Group)、International Journal of Image & Graphics (World Scientific)、International Journal of Innovative Computing and Applications (Inderscience) 及 Innovative Computing and Communication Journal (Scientific Peer-reviewed Journal)。他與國際出版商如 Elsevier、Wiley、De Gruyter 合著了多個章節。他與國內/國際出版社(CRC Press、Bhavya publications)共同撰寫/編輯了三本書籍。他的研究領域包括人工智慧、自然啟發計算、雲計算安全、機器學習和搜索引擎優化。他與多個專業機構如 ISTE、IAENG、ICSES、UACEE、網際網路協會等有關聯。他擁有超過九年的教學經驗。他是 ICICC-2018、ICICC-2019 和 ICICC-2020 Springer 會議系列的共同召集人,也是 ICCRDA-2020 Scopus 索引 IOP 材料科學與工程會議系列的共同召集人。他還是多個知名期刊如 Springer、Elsevier、IEEE、Wiley、Taylor & Francis Group 和 World Scientific Journal 及多個 Springer 會議的審稿人。他目前是哈里亞納邦 DCR 科學與技術大學的博士研究生。他於 2012 年在 SRM 大學 NCR 校區完成碩士學位,並於 2010 年在 KNGD MODI 工程學院(GBTU)獲得學士學位。

普爾娜·夏爾馬 (Prerna Sharma) 目前是德里 GGSIPU 的馬哈拉賈·阿格拉森技術學院計算機科學與工程系的助理教授。她在高排名和知名期刊上發表了 SCI 索引和 Scopus 索引的期刊文章,如 Journal of Supercomputing (Springer)、Cognitive Systems Research (Elsevier)、Expert Systems (Wiley) 和 International Journal of Innovative Computing and Applications (Inderscience)。她還與國際出版社(Wiley 和 Elsevier)合作撰寫了書籍章節。她在計算智能方面有廣泛的研究。她的興趣領域包括人工智慧、機器學習、自然啟發計算、軟計算和雲計算。她與多個專業機構如 IAENG、ICSES、UACEE、網際網路協會等有關聯。她擁有豐富的學術背景和 8 年的教學經驗。她是德里技術大學 (DTU) 的博士研究生。她於 2011 年在 USIT, GGSIPU 完成碩士學位,並於 2009 年在 GPMCE, GGSIPU 獲得學士學位。

迪維揚卡·阿加瓦爾 (Deevyankar Agarwal) 目前在阿曼馬斯喀特的應用科技大學(公立大學)工程系 EEE 部門(計算機工程)擔任講師。他擁有 20 年的教學和研究經驗。他目前是西班牙巴利亞多利德大學的博士研究生。他在 Springer、Elsevier、Taylor & Francis 的國際期刊上發表了多篇研究論文。此外,他還在 IEEE 國際會議和國內會議上發表了多篇論文。他是 Springer 期刊以及多個 IEEE 會議的審稿人。