Deep Learning For Physics Research
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2021
- Hardcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 100.45
Quantity: Over 20 available
Add to basketItem description from seller
A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.
Seller Inventory # LU-9789811237454
- Title
- Deep Learning For Physics Research
- Author
- Uwe Klemradt, Jonas Glombitza, Gregor Kasieczka, Martin Erdmann
- Publisher
- World Scientific Publishing Co Pte Ltd, SG
- Publication year
- 2021
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 981123745X
- ISBN 13
- 9789811237454
- Dimensions
- 15.24 x 2.06 x 22.86 cm
A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.
This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning.
Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.
"Synopsis" may belong to another edition of this title.
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