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Deep Learning For Physics Research - Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt

Deep Learning For Physics Research

Buch | Hardcover
340 Seiten
2021
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-12-3745-4 (ISBN)
CHF 189,95 inkl. MwSt
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.
Erscheinungsdatum
Verlagsort Singapore
Sprache englisch
Themenwelt Naturwissenschaften Physik / Astronomie Festkörperphysik
ISBN-10 981-12-3745-X / 981123745X
ISBN-13 978-981-12-3745-4 / 9789811237454
Zustand Neuware
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