Deep Learning For Physics Research

Deep Learning For Physics Research

Author
Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt
Publisher
World Scientific Publishing Company
Language
English
Year
2021
Page
340
ISBN
981123745X,9789811237454
File Type
pdf
File Size
18.4 MiB

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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