arXiv stat.ML
· Papers
Approximation of Analytic Functions by ReLU Neural Networks with Adjustable Depth and Width
arXiv:2607.10589v1 Announce Type: new Abstract: In contrast to most studies on neural network approximation theory that characterize results through a single parameter, such as the total number of network parameters, cite{shen2020deep} pioneered the characterization of approximation rates as a joint function of the wi