Give upper bound on number of training

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Reference no: EM1364990

Consider training a two-input perceptron. Give an upper bound on the number of training examples sufficient to assure with 90% confidence that the learned perceptron will have true error of at most 5%. Does this bound seem realistic?

Reference no: EM1364990

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