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Multilayer Perceptron for Machine Learning Course CS545

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Multilayer Perceptron

Multilayer Perceptron for Machine Learning Course CS545

Assignment: Implement a two-layer neural network to perform leter recognition on the UCI machine-learning dataset(http://archive.ics.uci.edu/ml/datasets/Letter+Recognition). The neural network consists of 16 inputs, with one hidden layer containing a hidden layer of n-units chosen by the user and 26 output units.