Deep learning for physics research. Erdmann, M. World Scientific, New Jersey, 2021. abstract bibtex "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"–
@book{erdmann_deep_2021,
address = {New Jersey},
title = {Deep learning for physics research},
isbn = {9789811237478 9789811237461},
abstract = {"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"--},
publisher = {World Scientific},
author = {Erdmann, Martin},
year = {2021},
keywords = {Data processing, Machine learning, Physics, Research},
}
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