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We consider approximations of general continuous functions on finite-dimensional cubes by general deep ReLU neural networks and study the approximation rates with respect to the modulus of continuity of the function and the total number of weights $W$ in the network.
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Hrushikesh Mhaskar, Qianli Liao, and Tomaso Poggio · 2016
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