Deep Learning For Physics Research
Author:   Martin Erdmann (Rwth Aachen Univ, Germany) ,  Jonas Glombitza (Rwth Aachen Univ, Germany) ,  Gregor Kasieczka (Univ Of Hamburg, Germany) ,  Uwe Klemradt (Rwth Aachen Univ, Germany)
Publisher:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789811285325


Pages:   340
Publication Date:   28 June 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Deep Learning For Physics Research


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Overview

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.

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Author:   Martin Erdmann (Rwth Aachen Univ, Germany) ,  Jonas Glombitza (Rwth Aachen Univ, Germany) ,  Gregor Kasieczka (Univ Of Hamburg, Germany) ,  Uwe Klemradt (Rwth Aachen Univ, Germany)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789811285325


ISBN 10:   9811285322
Pages:   340
Publication Date:   28 June 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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