Large deviation principles and functional limit theorems in the deep limit of wide random neural networks

Simmaco Di Lillo, Claudio Macci, Barbara Pacchiarotti

This paper studies large deviation principles and weak convergence, both at the level of finite-dimensional distributions and in functional form, for a class of continuous, isotrop…