Multilayer networks - PowerPoint PPT Presentation

ANNs (Artificial Neural Networks)

ANNs (Artificial Neural Networks). The perceptron. Perceptron. X is a (column) vector of inputs. W is a (column) vector of weights.  or w 0 is the bias or threshold weight. Perceptron. Usage: training/learning l ocal vs. global minima supervised vs. unsupervised

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On-Line Learning with Recycled Examples: A Cavity Analysis

On-Line Learning with Recycled Examples: A Cavity Analysis. Peixun Luo and K. Y. Michael Wong Hong Kong University of Science and Technology. y. J j. Formulation. Inputs: ξ j , j = 1, ..., N Weights: J j j = 1, …, N Activation: y = J · ξ Output: S = f ( y ). y. J j.

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224 views • 14 slides

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