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Deep Learning for Hydrometeorology and Environmental Science

af Vijay P. Singh, Taesam Lee, Kyung Hwa Cho

indgår i Water Science and Technology Library serien

Deep Learning for Hydrometeorology and Environmental Science af Vijay P. Singh
Bag om Deep Learning for Hydrometeorology and Environmental Science

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030647766
  • Indbinding:
  • Hardback
  • Sideantal:
  • 204
  • Udgivet:
  • 28. januar 2021
  • Udgave:
  • 12021
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 500 g.
  • 8-11 hverdage.
  • 7. december 2024

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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.

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