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Both supervised and unsupervised artificial neural networks each have nodes within the hidden layers that tend to specialize during the learning phase. This specialization involves encoding specific features of the observed patterns while disregarding others. This phenomenon is inherently linked to the technique of gradient descent and the chain rule used for backpropagating errors from the output layer.

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Specialized Nodes Versus Conscious Nodes

  • 章节

  • 发表日期：

    2025年

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  • Paolo Massimo Buscema,
  • Weldon A. Lodwick,
  • Giulia Massini,
  • Pier Luigi Sacco,
  • Masoud Asadi-Zeydabadi,
  • Francis Newman,
  • Riccardo Petritoli,
  • Marco Breda

摘要

Both supervised and unsupervised artificial neural networks each have nodes within the hidden layers that tend to specialize during the learning phase. This specialization involves encoding specific features of the observed patterns while disregarding others. This phenomenon is inherently linked to the technique of gradient descent and the chain rule used for backpropagating errors from the output layer.