Deep Learning and Computational Physics
About This Book
This book is written for students who have a grounding in elementary mathematics and want an introduction to selected topics in deep learning. Its approach rests on the close links between deep learning algorithms and the methods of computational physics, and it uses those links to serve two aims. The first aim is to use ideas from computational physics to help readers understand how deep learning algorithms work. The second is to present several new deep learning algorithms for difficult problems in computational physics, giving anyone interested in modeling physical phenomena a complementary set of tools. The book is meant for senior undergraduates and graduate students in science and engineering programs. It can serve as the textbook for a single course or a course sequence at that level.
ISBN: 9783031593444
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