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The "MultiLayerPerceptron" page has been changed by YexiJiang: http://wiki.apache.org/hama/MultiLayerPerceptron?action=diff&rev1=13&rev2=14 The basic component of a multilayer perceptron is the neuron. In a multilayer perceptron, the neurons are aligned in layers and in any two adjacent layers the neurons are connected in pairs with weighted edges. - A practical multilayer perceptron consists of at least three layers of neurons, including one input layer, one or more hidden layers, and one output layers. + A practical multilayer perceptron consists of at least three layers of neurons, including one input layer, one or more hidden layers, and one output layer. Here is an example multilayer perceptron with 1 input layer, 1 hidden layer and 1 output layer:
