Deep Learning For Physics Research

Erdmann, Martin (Rwth Aachen Univ, Glombitza, Jonas (Rwth Aachen Univ, Kasieczka, Gregor (Univ Of Hamburg, Klemradt, Uwe (Rwth Aachen Univ

Description

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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Writer
Erdmann, Martin (Rwth Aachen Univ, Glombitza, Jonas (Rwth Aachen Univ, Kasieczka, Gregor (Univ Of Hamburg, Klemradt, Uwe (Rwth Aachen Univ
Title
Deep Learning For Physics Research
Publisher
World Scientific Publishing Co Pte Ltd
Year
2021
Language
English
Pages
340
Weight
650 gr
EAN
9789811237454
Dimensions
158 x 234 x 22 mm
Binding format
Gebonden

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