9783030765897 - deep learning in computational mechanics: an introductory course: 977 di kollmannsberger, stefan; d'angella, davide; jokeit, moritz; herrmann, leon (14 risultati)
Deep Learning in Computational Mechanics
Stefan Kollmannsberger, Davide D'Angella, Moritz Jokeit, Leon Herrmann
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: New. 2021 ed. This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning's fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and engineering, setti…ng the stage for the book's main topics: physics-informed neural networks and the deep energy method.The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible. To achieve this goal, mostly one-dimensional examples are investigated, such as approximating functions by neural networks or the simulation of the temperature's evolution in a one-dimensional bar.Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python.
Deep Learning in Computational Mechanics: An Introductory Course (Studies in Computational Intelligence)
Kollmannsberger, Stefan; D'Angella, Davide; Jokeit, Moritz; Herrmann, Leon
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Deep Learning in Computational Mechanics: An Introductory Course (Studies in Computational Intelligence)
Kollmannsberger, Stefan; D'Angella, Davide; Jokeit, Moritz; Herrmann, Leon
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
- Brossura
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: SPRINGER NP, 2021
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Altre immaginiLingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Deep Learning in Computational Mechanics | An Introductory Course | Stefan Kollmannsberger (u. a.) | Taschenbuch | vi | Englisch | 2022 | Springer | EAN 9783030765897 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]…com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning's fundamental concepts before neural networks are explained thoroughly. It then provides an overview of cu…rrent topics in physics and engineering, setting the stage for the book's main topics: physics-informed neural networks and the deep energy method.The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible. To achieve this goal, mostly one-dimensional examples are investigated, such as approximating functions by neural networks or the simulation of the temperature's evolution in a one-dimensional bar.Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python.
Deep Learning in Computational Mechanics
Stefan Kollmannsberger, Davide D'Angella, Moritz Jokeit, Leon Herrmann
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
- Brossura
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Paperback. Condizione: New. 2021 ed.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning¿s fundamental concepts before neural networks are explained thoroughly. It then provides an overvi…ew of current topics in physics and engineering, setting the stage for the book¿s main topics: physics-informed neural networks and the deep energy method.The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible. To achieve this goal, mostly one-dimensional examples are investigated, such as approximating functions by neural networks or the simulation of the temperature¿s evolution in a one-dimensional bar.Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Deep Learning in Computational Mechanics
Kollmannsberger, Stefan; D'Angella, Davide; Jokeit, Moritz; Herrmann, Leon
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
- Brossura
- Print on Demand
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Deep Learning in Computational Mechanics
Kollmannsberger, Stefan; D'Angella, Davide; Jokeit, Moritz; Herrmann, Leon
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
- Brossura
- Print on Demand
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Lingua: Inglese
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Serie: Libro 481 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning's fundamental concepts before neural networks are explained thoroughly. It then provides a…n overview of current topics in physics and engineering, setting the stage for the book's main topics: physics-informed neural networks and the deep energy method.The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible. To achieve this goal, mostly one-dimensional examples are investigated, such as approximating functions by neural networks or the simulation of the temperature's evolution in a one-dimensional bar.Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python. 112 pp. Englisch.
Deep Learning in Computational Mechanics: An Introductory Course (Studies in Computational Intelligence)
Kollmannsberger, Stefan; D'Angella, Davide; Jokeit, Moritz; Herrmann, Leon
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
- Brossura
- Print on Demand
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Deep Learning in Computational Mechanics: An Introductory Course (Studies in Computational Intelligence)
Kollmannsberger, Stefan; D'Angella, Davide; Jokeit, Moritz; Herrmann, Leon
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 481 di 538 - Studies in Computational Intelligence
- Brossura
- Print on Demand
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