Deep Learning for Physics Research
| AUTHOR | Kasieczka, Gregor; Glombitza, Jonas; Erdmann, Martin et al. |
| PUBLISHER | World Scientific Publishing Company (06/28/2021) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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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Product Format
Product Details
ISBN-13:
9789811237454
ISBN-10:
981123745X
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
340
Carton Quantity:
20
Product Dimensions:
6.00 x 0.81 x 9.00 inches
Weight:
1.37 pound(s)
Country of Origin:
SG
Subject Information
BISAC Categories
Science | Physics - Mathematical & Computational
Science | Data Science - Machine Learning
Science | Physics - Condensed Matter
Descriptions, Reviews, Etc.
publisher marketing
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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List Price $98.00
Your Price
$97.02