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On-Line Learning in Neural Networks

del av Publications of the Newton Institute-serien

On-Line Learning in Neural Networks
Om On-Line Learning in Neural Networks

On-line learning is one of the most commonly used techniques for training large layered networks. Traditional methods have been recently complemented by ones from statistical physics and Bayesian statistics to provide more insight and deeper understanding of existing algorithms. This book presents a coherent picture of the state-of-the-art.

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  • Språk:
  • Engelska
  • ISBN:
  • 9780521652636
  • Format:
  • Inbunden
  • Sidor:
  • 412
  • Utgiven:
  • 28. januari 1999
  • Mått:
  • 159x235x31 mm.
  • Vikt:
  • 2362 g.
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Leveranstid: 2-4 veckor
Förväntad leverans: 4. februari 2025

Beskrivning av On-Line Learning in Neural Networks

On-line learning is one of the most commonly used techniques for training large layered networks. Traditional methods have been recently complemented by ones from statistical physics and Bayesian statistics to provide more insight and deeper understanding of existing algorithms. This book presents a coherent picture of the state-of-the-art.

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