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Deep Learning for Physics Research

Deep Learning for Physics Research - Hardcover

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Deep Learning for Physics Research

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Availability:In StockContributor:Martin Erdmann, Jonas Glombitza, Gregor KasieczkaPublish date:2021-06-28Pages:340
Language:EnglishPublisher:World Scientific Publishing CompanyISBN-13:9789811237454ISBN-10:981123745XUPC:9789811237454Book Category:Science, ComputersBook Subcategory:Physics, Data ScienceBook Topic:Mathematical & Computational, Machine Learning, Condensed MatterSize:9.00 x 6.00 x 0.81 inchesWeight:1.3713Product ID:SCZYNW8CPN
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.
Language:EnglishPublisher:World Scientific Publishing CompanyISBN-13:9789811237454ISBN-10:981123745XUPC:9789811237454Book Category:Science, ComputersBook Subcategory:Physics, Data ScienceBook Topic:Mathematical & Computational, Machine Learning, Condensed MatterSize:9.00 x 6.00 x 0.81 inchesWeight:1.3713Product ID:SCZYNW8CPN
Publisher: World Scientific Publishing Company

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