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Deep Learning For Hydrometeorology And Environmental Science
language: english
Publisher:
Springer Nature Switzerland AG, January of 2022 ‧
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148,70€
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SYNOPSIS
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.
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9783030647797 |
| Publisher: | Springer Nature Switzerland AG |
| Release Date: | January of 2022 |
| Language: | English |
| Dimensions: | 155 x 235 x 20 mm |
| Cover: | Softcover |
| Pages: | 204 |
| Format: | Book |
| Collection: | Water Science And Technology Library |
| Categories: |
Books in English
>
Science
>
Mathematics
|
| EAN: | 9783030647797 |
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