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Verlag: Springer-Nature New York Inc, 2023
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Verlag: Springer Nature Switzerland, Springer Nature Switzerland Mär 2024, 2024
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Taschenbuch. Zustand: Neu. 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 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 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 96 pp. Englisch.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031546520 ISBN 13: 9783031546525
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Taschenbuch. Zustand: 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 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.
Taschenbuch. Zustand: Neu. Applications of Game Theory in Deep Learning | Tanmoy Hazra (u. a.) | Taschenbuch | xii | Englisch | 2024 | Springer | EAN 9783031546525 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbZustand: New. pp. 262.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland, 2022
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future.An Intuitive Exploration of Artificial Intelligenceoffers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language,to automatically convertingspeech into text and back to speech,to generatingneural art, to playinggames, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential.The book is intended to serveas a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since thebook provides a strong geometrical intuitionabout advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 620844179X ISBN 13: 9786208441791
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Taschenbuch. Zustand: Neu. Metaheuristic - Based Deep Learning for Medical Image Segmentation | Theory and Applications | Mohammed Khouy (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208441791 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland Jul 2023, 2023
ISBN 10: 3031373197 ISBN 13: 9783031373190
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Taschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7¿9, 2021.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer International Publishing Jul 2023, 2023
ISBN 10: 3031373162 ISBN 13: 9783031373169
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Taschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031373162 ISBN 13: 9783031373169
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed post-conference proceedings of the ThirdInternational Conference on Deep Learning Theory and Applications, DeLTA2022, held in Lisbon, Portugal, during January 17-18, 2022.The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2025
ISBN 10: 3032043387 ISBN 13: 9783032043382
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In den WarenkorbPaperback. Zustand: Brand New. 371 pages. 9.26x6.11x9.21 inches. In Stock.
Sprache: Englisch
Verlag: Springer Nature Switzerland, 2023
ISBN 10: 3031373197 ISBN 13: 9783031373190
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed post-proceedings of the First International Conference and Second International ConferenceonDeep Learning Theory and Applications,DeLTA 2020 andDeLTA 2021,was held virtually due to the COVID-19 crisis onJuly 8-10, 2020 andJuly 7-9, 2021.The 7 full papers included in this book were carefully reviewed andselected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 3031666933 ISBN 13: 9783031666933
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In den WarenkorbPaperback. Zustand: Brand New. 360 pages. 9.25x6.10x9.25 inches. In Stock.