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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering.
Langue: anglais
Edité par Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10 : 3031593448 ISBN 13 : 9783031593444
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer, Springer Jun 2025, 2025
ISBN 10 : 3031593472 ISBN 13 : 9783031593475
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 172 pp. Englisch.
Langue: anglais
Edité par Springer Nature Switzerland, Springer Nature Switzerland Jun 2024, 2024
ISBN 10 : 3031593448 ISBN 13 : 9783031593444
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students. 168 pp. Englisch.
Langue: anglais
Edité par Springer, Springer Jun 2025, 2025
ISBN 10 : 3031593472 ISBN 13 : 9783031593475
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.
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Ajouter au panierTaschenbuch. Etat : Neu. Deep Learning and Computational Physics | Deep Ray (u. a.) | Taschenbuch | xvi | Englisch | 2025 | Springer | EAN 9783031593475 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Langue: anglais
Edité par Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10 : 3031593448 ISBN 13 : 9783031593444
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achi.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierBuch. Etat : Neu. Deep Learning and Computational Physics | Deep Ray (u. a.) | Buch | xvi | Englisch | 2024 | Springer | EAN 9783031593444 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Langue: anglais
Edité par Springer Nature Switzerland, Springer International Publishing Jun 2024, 2024
ISBN 10 : 3031593448 ISBN 13 : 9783031593444
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 106,99
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.