Even though the DNN is a universal approximator that closely matches any function (see Section S1 of the supplementary information (SI)), DRT deconvolution has been performed with a limited accuracy because the integral in (1) needs to be approximated at a fixed number of collocation points . iii) The recovery of DRTs with negative peaks has yet to be studied as the output of DNN methods that have been constrained to be non-negative by means of a dedicated activation function at the DNN's last layer . This article aims to address thesechallenges.