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We study the approximation properties of random ReLU features through their reproducing kernel Hilbert space (RKHS).
Remarques sur un résultat non publié de B. Maurey
Gilles Pisier · 1980
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Universal approximation bounds for superpositions of a sigmoidal function
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Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
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