Deep Learning For Physics Research

Deep Learning For Physics Research
Author: Martin Erdmann
Publisher: World Scientific
Total Pages: 340
Release: 2021-06-25
Genre: Science
ISBN: 9811237476


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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
Language: en
Pages: 340
Authors: Martin Erdmann
Categories: Science
Type: BOOK - Published: 2021-06-25 - Publisher: World Scientific

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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
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Pages: 207
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Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Deep Learning in Introductory Physics
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Pages: 277
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Categories: Education
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Deep Learning in Introductory Physics: Exploratory Studies of Model?Based Reasoning is concerned with the broad question of how students learn physics in a mode
On Deep Learning in Physics
Language: en
Pages: 0
Authors: Kyle Mills
Categories:
Type: BOOK - Published: 2021 - Publisher:

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Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mapping