A01=Gregor Kasieczka
A01=Jonas Glombitza
A01=Martin Erdmann
A01=Uwe Klemradt
Age Group_Uncategorized
Age Group_Uncategorized
Artificial Intelligence
Author_Gregor Kasieczka
Author_Jonas Glombitza
Author_Martin Erdmann
Author_Uwe Klemradt
automatic-update
Big Data Analytics
Category1=Non-Fiction
Category=PHFC
COP=Singapore
Data Analysis
Deep Learning
Deep Neural Networks
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Language_English
Machine Learning
PA=Available
Physics
Price_€100 and above
PS=Active
softlaunch
Product details
- ISBN 9789811237454
- Publication Date: 28 Jun 2021
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
- Language: English
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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.
