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.

Deep Learning For Physics Research

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£110.00

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Hardback by Martin Erdmann , Jonas Glombitza

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Short Description:

A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become... Read more

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 28/06/2021
    ISBN13: 9789811237454, 978-9811237454
    ISBN10: 981123745X

    Number of Pages: 340

    Non Fiction , Mathematics & Science , Education

    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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