9783031546525 - applications of game theory in deep learning (springerbriefs in computer science) de hazra, tanmoy; anjaria, kushal; bajpai, aditi (17 resultados)

Applications of Game Theory in Deep Learning
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Paperback. Condición: new. Paperback. 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 bot…h 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 Theory's 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Applications of Game Theory in Deep Learning
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning (SpringerBriefs in Computer Science)
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning (SpringerBriefs in Computer Science)
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning
Hazra, Tanmoy/ Anjaria, Kushal/ Bajpai, Aditi/ Kumari, Akshara
Idioma: Inglés
Editorial: Springer-Nature New York Inc, 2024
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 t…heory 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 Theory's 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.
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Taschenbuch. Condición: Neu. Applications of Game Theory in Deep Learning | Tanmoy Hazra (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xii | Englisch | 2024 | Springer | EAN 9783031546525 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springe…r[dot]com | Anbieter: preigu.

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Editorial: Springer International Publishing AG, Cham, 2024
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Paperback. Condición: new. Paperback. 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 bot…h 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 Theory's 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 explo…ration 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 Theory's 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. 96 pp. Englisch.

Applications of Game Theory in Deep Learning (SpringerBriefs in Computer Science)
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Applications of Game Theory in Deep Learning (SpringerBriefs in Computer Science)
Hazra, Tanmoy; Anjaria, Kushal; Bajpai, Aditi; Kumari, Akshara
Idioma: Inglés
Editorial: Springer, 2024
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 i…nsightful exploration of game .

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Editorial: Springer, Springer Mär 2024, 2024
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 explorati…on 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 Theory's 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 96 pp. Englisch.