Before revision:  In  numerical experiments from classification and surrogate modeling, GNvpro not only solves the optimization problem more efficiently but also yields DNNs that generalize better than commonly-used optimization schemes .
After revision:  In numerical experiments from classification and surrogate modeling, segmentation, and classification GNvpro solves the optimization problem more efficiently but also yields DNNs that generalize better than commonly-used optimization schemes .