On the rate of convergence of a neural network regression estimate learned by gradient descent

Alina Braun, Michael Kohler, Harro Walk

Nonparametric regression with random design is considered. Estimates are defined by minimzing a penalized empirical $L_2$ risk over a suitably chosen class of neural networks with…