Deep Learning for Physics Research - Couverture rigide

Erdmann, Martin; Glombitza, Jonas; Kasieczka, Gregor; Klemradt, Uwe

Couverture rigide

ISBN 10 : 981123745X ISBN 13 : 9789811237454

Editeur : World Scientific Publishing Co Pte Ltd, 2021

Synopsis

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.

Détails de l'édition

• Éditeur: World Scientific Publishing Co Pte Ltd
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 981123745X
• ISBN 13: 9789811237454
• Reliure: Relié
• Nombre de pages: 340
• Coordonnées du fabricant: World Scientific Publishing; https://www.worldscientific.com/; ; 5 Toh Tuck Link; #01-01; 596224; Singapour
• Personne responsable: non disponible