Deep Learning for Physics Research
Erdmann Martin
Sold by BooksRun, Philadelphia, PA, U.S.A.
AbeBooks Seller since February 2, 2016
Used - Hardcover
Condition: Used - Very good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by BooksRun, Philadelphia, PA, U.S.A.
AbeBooks Seller since February 2, 2016
Condition: Used - Very good
Quantity: 1 available
Add to basketIt's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Seller Inventory # 981123745X-8-1
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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