Gregor Kasieczka,
Martin Erdmann,
Uwe Klemradt,
Jonas Glombitza,
Martin Erdmann,
Gregor Kasieczka,
Jonas Glombitza,
Uwe Klemradt
e.a.
DEEP LEARNING FOR PHYSICS RESEARCH
Gebonden EN 2021 9789811237454Levertijd ongeveer 11 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9789811237454
Taal:EN
Bindwijze:Gebonden
Aantal pagina's:340
Uitgever:World Scientific Publishing Co Pte Ltd
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