Description: Applications of Game Theory in Deep Learning by Tanmoy Hazra, Kushal Anjaria, Aditi Bajpai, Akshara Kumari Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Applications of Game Theory in Deep Learning provides an extensive and insightful exploration of game theory in deep learning, diving deep into both the theoretical foundations and the real-world applications that showcase this intriguing intersection of fields. Publisher Description This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep learning techniques. Applications of Game Theory in Deep Learning provides an extensive and insightful exploration of game theory in deep learning, diving deep into both the theoretical foundations and the real-world applications that showcase this intriguing intersection of fields. Starting with the essential foundations for comprehending both game theory and deep learning, delving into the individual significance of each field, the book culminates in a nuanced examination of Game Theorys pivotal role in augmenting and shaping the development of Deep Learning algorithms. By elucidating the theoretical underpinnings and practical applications of this synergistic relationship, we equip the reader with a comprehensive understanding of their combined potential. In our digital age, where algorithms and autonomous agents are becoming more common, the combination of game theory and deep learning has opened a new frontier of exploration. The combination of these two disciplines opens new and exciting avenues. We observe how artificial agents can think strategically, adapt to ever-shifting environments, and make decisions that are consistent with their goals and the dynamics of their surroundings. This book presents case studies, methodologies, and real-world applications. Author Biography Tanmoy Hazra: Tanmoy Hazra has currently serving as an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallbhbhai Natinal Institute of Technology Surat. He held a PhD in applications of game theory from the Department of Computer Science and Engineering of the Defence Institute of Advanced Technology (DIAT-DRDO). He has almost six years of teaching experience. He published several research articles in international journals, international conferences and one research oriented book with Lambert Academic Publishing. He also received the Best Paper Award in 3rd ICACCS conference (IEEE). He is also serving as reviewer for several reputed journals and is also TPC member of various international conferences. His research area includes applications of game theory, machine learning, deep learning etc.Kushal Anjaria: He is an assistant professor in the IT and Systems area at the Institute of Rural Management, Anand (IRMA). He held a PhD in information systems and security from the Department of Computer Science and Engineering of the Defence Institute of Advanced Technology (DIAT-DRDO). He has around five years of academic experience and a year of industrial experience. He teaches subjects like management information systems (MIS) and enterprise resource planning. He has authored over 25 research papers, published them in refereed journals and book chapters, and presented them at several conferences. He has served as a consultant on several water-related projects for the government and non-governmental organizations, like "Conducting a Comparative Study concerning Policy, Programs, and Schemes for Water Management in Five Tribally Significant States of Madhya Pradesh, Gujarat, Maharashtra, Jharkhand, and Chhattisgarh." He developed three case studies pertaining to loan taking patterns of the artisans in the consultancy project related to SHGs of leather artisans by discussing with three different PSBsAditi Bajpai: Aditi Bajpai is a passionate and dedicated professional currently serving as a Full time Research Scholar at NIT Raipur, specializing in the captivating realm of Artificial Intelligence for processors. With a profound academic journey, she earned her Master of Technology in Computer Science & Engineering with a focus on Artificial Intelligence from the prestigious Indian Institute of Information Technology, Pune, graduated in 2023. Driven by a fervent interest in advancing technology, she is actively engaged in cutting-edge research, exploring the dynamic intersection of Artificial Intelligence and processors. As an active participant in cutting-edge research, she is passionate about exploring the limitless possibilities that AI holds for the future. Akshara Kumari: She is in the final semester of MTech programme from the prestigious Indian Institute of Information Technology, Pune, specializing in the Internet of things. She is currently working in Philips as a Research & Development Electronic Intern in Healthcare Innovation Centre, Pune, India. Her area of interest is hospital patients monitors and working in a measurement team. Details ISBN 3031546520 ISBN-13 9783031546525 Title Applications of Game Theory in Deep Learning Author Tanmoy Hazra, Kushal Anjaria, Aditi Bajpai, Akshara Kumari Format Paperback Year 2024 Pages 84 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:159142650; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 63.63 USD
Location: Fairfield, Ohio
End Time: 2024-12-27T07:49:55.000Z
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ISBN-13: 9783031546525
Book Title: Applications of Game Theory in Deep Learning
Number of Pages: Xii, 84 Pages
Publication Name: Applications of Game Theory in Deep Learning
Language: English
Publisher: Springer
Subject: Game Theory, Intelligence (Ai) & Semantics, Probability & Statistics / General, General
Publication Year: 2024
Type: Textbook
Author: Tanmoy Hazra, Kushal Anjaria, Akshara Kumari, Aditi Bajpai
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback