This book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning.
| Autorius: | Atsuya Oishi, Genki Yagawa, |
| Serija: | Lecture Notes on Numerical Methods in Engineering and Sciences |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 416 |
| ISBN-10: | 3031118464 |
| ISBN-13: | 9783031118463 |
| Formatas: | 241 x 160 x 27 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
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