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Book Synopsis
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.

Deep Learning For Physics Research

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    A Hardback by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka

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      Book details

      Publisher World Scientific Publishing Co Pte Ltd
      Published 28 June 2021
      ISBN-13 9789811237454
      978-9811237454
      ISBN-10 981123745X
      Also in:
      Science & Nature Condensed matter physics

      Description

      Book Synopsis
      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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