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Deep Learning for Hydrometeorology and Environmental Science - Water Science and Technology Library 2021 edition
Taesam Lee
Deep Learning for Hydrometeorology and Environmental Science - Water Science and Technology Library 2021 edition
Taesam Lee
This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g.
204 pages, 80 Tables, color; 133 Illustrations, color; 56 Illustrations, black and white; XIV, 204 p
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 28 de janeiro de 2021 |
| ISBN13 | 9783030647766 |
| Editoras | Springer Nature Switzerland AG |
| Páginas | 204 |
| Dimensões | 150 × 220 × 20 mm · 485 g |
| Idioma | German |
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