Deep Learning For Physics Research
Häftad, Engelska, 2021
Av Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt, Germany) Erdmann, Martin (Rwth Aachen Univ, Germany) Glombitza, Jonas (Rwth Aachen Univ, Germany) Kasieczka, Gregor (Univ Of Hamburg, Germany) Klemradt, Uwe (Rwth Aachen Univ, ERDMANN MARTIN, Erdmann Martin
1 089 kr
Beställningsvara. Skickas inom 3-6 vardagar
Fri frakt för medlemmar vid köp för minst 249 kr.Finns i fler format (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.
Produktinformation
- Utgivningsdatum2021-06-28
- Mått152 x 229 x 19 mm
- Vikt494 g
- FormatHäftad
- SpråkEngelska
- Antal sidor340
- FörlagWorld Scientific Publishing Co Pte Ltd
- ISBN9789811285325