DEEP LEARNING FOR PHYSICS RESEARCH - Rilegato

Martin Erdmann, Jonas Glombitza Gregor

Rilegato

ISBN 10: 981123745X ISBN 13: 9789811237454

Casa editrice: World Scientific Publ., 2021

Riassunto

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.

Dettagli dell?edizione

• Editore: World Scientific Publ.
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 981123745X
• ISBN 13: 9789811237454
• Rilegatura: Copertina rigida
• Numero di pagine: 340
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile