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Books > Science & Mathematics > Physics > States of matter > Condensed matter physics (liquids & solids)

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Deep Learning For Physics Research (Hardcover) Loot Price: R2,417
Discovery Miles 24 170
Repayment Terms: R227 pm x 12*
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Deep Learning For Physics Research (Hardcover): Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt

Deep Learning For Physics Research (Hardcover)

Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt

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Loot Price R2,417 Discovery Miles 24 170 | Repayment Terms: R227 pm x 12*

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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.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Release date: June 2021
First published: 2021
Authors: Martin Erdmann • Jonas Glombitza • Gregor Kasieczka • Uwe Klemradt
Dimensions: 158 x 234 x 22mm (L x W x T)
Format: Hardcover
Pages: 340
ISBN-13: 978-981-12-3745-4
Categories: Books > Science & Mathematics > Physics > States of matter > Condensed matter physics (liquids & solids)
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LSN: 981-12-3745-X
Barcode: 9789811237454

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