03405nam a22006135i 4500 978-3-031-59345-1 DE-He213 20251030112302.0 cr nn 008mamaa 240606s2024 sz | s |||| 0|eng d 9783031593451 978-3-031-59345-1 10.1007/978-3-031-59345-1 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Ray, Deep. author. aut http://id.loc.gov/vocabulary/relators/aut 78389 Deep Learning and Computational Physics [electronic resource] / by Deep Ray, Orazio Pinti, Assad A. Oberai. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVI, 152 p. 54 illus., 44 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Introduction -- Introduction to deep neural networks -- Residual neural networks -- Convolutional Neural Networks -- Solving PDEs with Neural Networks -- Operator Networks -- Generative Deep Learning. The 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. . Engineering Data processing. Machine learning. 55059 Big data. 57216 Computational intelligence. 64052 Engineering mathematics. 64145 Mathematical physics. Data Engineering. 66059 Machine Learning. 55059 Big Data. 57216 Computational Intelligence. 64052 Mathematical and Computational Engineering Applications. Theoretical, Mathematical and Computational Physics. 65563 Pinti, Orazio. author. aut http://id.loc.gov/vocabulary/relators/aut 78390 Oberai, Assad A. author. aut http://id.loc.gov/vocabulary/relators/aut 78391 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031593444 Printed edition: 9783031593468 Printed edition: 9783031593475 https://doi.org/10.1007/978-3-031-59345-1 ZDB-2-INR ZDB-2-SXIT 60581 60581