000			01320nam a22001817a 4500
003			OSt
005			20240903104917.0
008			240903b |||||||| |||| 00| 0 eng d
020			_a9783031593444
100			_aRay, Deep
245			_aDeep Learning and Computational Physics/ _cDeep Ray, Orazio Pinti and et. al.
260			_aSwitzerland: _bSpringer Nature, _c2024.
300			_axvi;152p.
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			_aDeep Learning
700			_aOberai, Assad A.
942			_2ddc _cBK
999			_c23127 _d23127