Deep Learning for Hydrometeorology and Environmental Science - Water Science and Technology Library - Taesam Lee - Books - Springer Nature Switzerland AG - 9783030647766 - January 28, 2021
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Taesam Lee
Deep Learning for Hydrometeorology and Environmental Science - Water Science and Technology Library 2021 edition

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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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released January 28, 2021
ISBN13 9783030647766
Publishers Springer Nature Switzerland AG
Pages 204
Dimensions 150 × 220 × 20 mm   ·   485 g
Language German  

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