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Deep Learning for Hydrometeorology and Environmental Science

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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  • Språk:
  • Engelska
  • ISBN:
  • 9783030647766
  • Format:
  • Inbunden
  • Sidor:
  • 204
  • Utgiven:
  • 28. januari 2021
  • Utgåva:
  • 12021
  • Mått:
  • 155x235x0 mm.
  • Vikt:
  • 500 g.
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Leveranstid: 2-4 veckor
Förväntad leverans: 17. december 2024

Beskrivning av 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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