Neural Networks: Multi-Layer Perceptron and Hopfield Network
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Neural Networks: Multi-Layer Perceptron and Hopfield Network CSI 2004 Sylvain Berlemont, Nicolas Burrus, David Lesage, Francis Maes, Jean-Baptiste Mouret, Benoît Perrot, Maxime Rey, Nicolas Tisserand, Astrid Wang The ability of neural networks to derive meaning from complicated or imprecise data make them a pow- erful tool to extract hidden correlations between patterns or to recognize noised patterns. This report is dedicated to the study of Multi-Layer Perceptrons (MLP) and Hopfield networks. In particular,…
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