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Applications of Game Theory in Deep Learning

BuchKartoniert, Paperback
84 Seiten
Englisch
Springererschienen am20.03.20242024
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR48,14
E-BookPDF1 - PDF WatermarkE-Book
EUR48,14

Produkt

KlappentextApplications 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.
Details
ISBN/GTIN978-3-031-54652-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum20.03.2024
Auflage2024
ReiheSpringerBriefs in Computer Science
Seiten84 Seiten
SpracheEnglisch
Gewicht160 g
IllustrationenXII, 84 p. 8 illus., 4 illus. in color.
Artikel-Nr.55857510

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction.- 2. Cooperative Game Theory.- 3. Noncooperative Game Theory.- 4. Applications of Game Theory in Deep Neural Networks.- 5. Case Studies and Different Applications.- 6. Conclusion and Future Research Directions.mehr

Schlagworte

Autor

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 PSBs
Aditi 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.
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