A priori generalization error for two-layer ReLU neural network through minimum norm solution

no code implementations • 6 Dec 2019 • Zhi-Qin John Xu, Jiwei Zhang, Yaoyu Zhang, Chengchao Zhao

We first estimate \emph{a priori} generalization error of finite-width two-layer ReLU NN with constraint of minimal norm solution, which is proved by \cite{zhang2019type} to be an equivalent solution of a linearized (w. r. t.