arXiv Machine Learning
Optimal approximation of smooth functions by ReLU neural networks
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Sep 17
Error bounds in Sobolev norms for approximations with norm constrained ReLU neural networks
Recent studies have shown that smooth functions can be well approximated by ReLU neural networks with path norm constraint on the weights. We extend these results from uniform approximation to approximation in Sobolev norm.