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.
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