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020 _a9783031593451
_9978-3-031-59345-1
024 7 _a10.1007/978-3-031-59345-1
_2doi
050 4 _aTA345-345.5
072 7 _aUN
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aUN
_2thema
100 1 _aRay, Deep.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978389
245 1 0 _aDeep Learning and Computational Physics
_h[electronic resource] /
_cby Deep Ray, Orazio Pinti, Assad A. Oberai.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVI, 152 p. 54 illus., 44 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Introduction to deep neural networks -- Residual neural networks -- Convolutional Neural Networks -- Solving PDEs with Neural Networks -- Operator Networks -- Generative Deep Learning.
520 _aThe main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students. .
650 0 _aEngineering
_xData processing.
650 0 _aMachine learning.
_955059
650 0 _aBig data.
_957216
650 0 _aComputational intelligence.
_964052
650 0 _aEngineering mathematics.
_964145
650 0 _aMathematical physics.
650 1 4 _aData Engineering.
_966059
650 2 4 _aMachine Learning.
_955059
650 2 4 _aBig Data.
_957216
650 2 4 _aComputational Intelligence.
_964052
650 2 4 _aMathematical and Computational Engineering Applications.
650 2 4 _aTheoretical, Mathematical and Computational Physics.
_965563
700 1 _aPinti, Orazio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978390
700 1 _aOberai, Assad A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978391
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031593444
776 0 8 _iPrinted edition:
_z9783031593468
776 0 8 _iPrinted edition:
_z9783031593475
856 4 0 _uhttps://doi.org/10.1007/978-3-031-59345-1
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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