9789813361072 - deep learning and physics di tanaka, akinori; tomiya, akio; hashimoto, koji (11 risultati)
Lingua: Inglese
Editore: Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer Nature, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 207 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Springer, Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 136,10
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - What is deep learning for those who study physics Is it completely different from physics Or is it similar In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that Is knowing physics useful…in machine learning Conversely, is knowing machine learning useful in physics This book is devoted to answers of these questions. Starting with basic ideas of physics, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics.In fact, the foundation of machine learning can be attributed to physical concepts. Hamiltonians that determine physical systems characterize various machine learning structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics through machine learning and generalization essentially providesprogress and even revolutions in physics. For these reasons, in recent years interdisciplinary research in machine learning and physics has been expanding dramatically.This book is written for anyone who wants to learn, understand, and apply the relationship between deep learning/machine learning and physics. All that is needed to read this book are the basic concepts in physics: energy and Hamiltonians. The concepts of statistical mechanics and the bracket notation of quantum mechanics, which are explained in columns, are used to explain deep learning frameworks.We encourage you to explore this new active field of machine learning and physics, with this book as a map of the continent to be explored.
Lingua: Inglese
Editore: Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Feb 2021, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 128,39
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -What is deep learning for those who study physics Is it completely different from physics Or is it similar In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that Is knowing… physics useful in machine learning Conversely, is knowing machine learning useful in physics This book is devoted to answers of these questions. Starting with basic ideas of physics, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics.In fact, the foundation of machine learning can be attributed to physical concepts. Hamiltonians that determine physical systems characterize various machine learning structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics through machine learning and generalization essentially providesprogress and even revolutions in physics. For these reasons, in recent years interdisciplinary research in machine learning and physics has been expanding dramatically.This book is written for anyone who wants to learn, understand, and apply the relationship between deep learning/machine learning and physics. All that is needed to read this book are the basic concepts in physics: energy and Hamiltonians. The concepts of statistical mechanics and the bracket notation of quantum mechanics, which are explained in columns, are used to explain deep learning frameworks.We encourage you to explore this new active field of machine learning and physics, with this book as a map of the continent to be explored. 224 pp. Englisch.
Lingua: Inglese
Editore: Springer Singapore, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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EUR 109,83
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is the first machine learning textbook written by physicists so that physicists and undergraduates can learn easilyPresents applications to physics problems written so that readers can soon imagine how machine learni…ng is to be used .
Lingua: Inglese
Editore: Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 184,09
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Feb 2021, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -What is deep learning for those who study physics Is it completely different from physics Or is it similar Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2021
Serie: Mathematical Physics Studies, Libro 23 di 24. Libro 23 di 24 - Mathematical Physics Studies
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 183,94
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Condizione: New. PRINT ON DEMAND.
