Consider training a two-input perceptron


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? 

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Basic Computer Science: Consider training a two-input perceptron
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