adicionar à lista de desejos
Deep Learning For Hydrometeorology And Environmental Science
idioma: inglês
Editor:
Springer Nature Switzerland AG, Janeiro de 2021 ‧
ver detalhes do produto
148,70€
10% DESCONTO
CARTÃO
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
portes grátis
Venda o seu livro
SINOPSE
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.
DETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9783030647766 |
| Editor: | Springer Nature Switzerland AG |
| Data de Lançamento: | Janeiro de 2021 |
| Idioma: | Inglês |
| Dimensões: | 155 x 235 x 20 mm |
| Encadernação: | Capa dura |
| Páginas: | 204 |
| Tipo de produto: | Livro |
| Coleção: | Water Science And Technology Library |
| Classificação Temática: |
Livros em Inglês
>
Ciências Exatas e Naturais
>
Matemática
|
| EAN: | 9783030647766 |
LIVROS DA MESMA COLEÇÃO
-
10%Entropy And Energy Dissipation In Water ResourcesKluwer Academic Publishers97,34€ 10% CARTÃOportes grátis
-
10%Proceedings Of The International Conference On Hydrology And Water Resources, New Delhi, India, December 1993Kluwer Academic Publishers97,34€ 10% CARTÃOportes grátis