c - Entropy and the Complexity of Feedforward Neural Networks
نویسنده
چکیده
We develop a. new feedforward neuralnet.work represent.ation of Lipschitz functions from [0, p]n into [0,1] ba'3ed on the level sets of the function. We show that ~~ + ~€r + ( 1 + h) (:~) n is an upper bound on the number of nodes needed to represent f to within uniform error Cr, where L is the Lipschitz constant. \Ve also show that the number of bits needed to represent the weights in the network in order to achieve this approximation is given by
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تاریخ انتشار 1990