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Neuron: A Hidden/Output Layer Unit

  • An n-dimensional input vector x is mapped into variable y by means of the scalar product and a nonlinear function mapping
  • The inputs to unit are outputs from the previous layer. They are multiplied by their corresponding weights to form a weighted sum, which is added to the bias associated with unit. Then a nonlinear activation function is applied to it.

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