Deep Neural Network Approximation For H\"older Functions. (arXiv:2201.03747v1 [cs.LG])

In this work, we explore the approximation capability of deep Rectified
Quadratic Unit neural networks for H\"older-regular functions, with respect to
the uniform norm. We find that theoretical approximation heavily depends on the
selected activation function in the neural network.

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