Description
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.
Author: Martin Erdmann, Jonas Glombitza, Gregor Kasieczka
Publisher: World Scientific Publishing Company
Published: 06/28/2021
Pages: 340
Binding Type: Paperback
Weight: 1.00lbs
Size: 9.00h x 6.00w x 0.71d
ISBN13: 9789811285325
ISBN10: 9811285322
BISAC Categories:
- Science | Physics | Mathematical & Computational
- Computers | Data Science | Machine Learning