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.
| ISBN: | 9789811237454 |
| Publication date: | 5th July 2021 |
| Author: | Martin Erdmann |
| Publisher: | World Scientific Publishing an imprint of WORLD SCIENTIFIC |
| Format: | Hardback |
| Pagination: | 340 pages |
| Genres: |
Condensed matter physics (liquid state and solid state physics) |
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 features in the following genres: Condensed matter physics (liquid state and solid state physics)
Deep Learning for Physics Research is available in Hardback
Deep Learning for Physics Research was written by Martin Erdmann and published by World Scientific Publishing an imprint of WORLD SCIENTIFIC
Deep Learning for Physics Research has 340 pages
£99.00