Efficient Per-Example Gradient Computations

10/07/2015

∙

by   Ian Goodfellow, et al.

∙

0

∙

share

This technical report describes an efficient technique for computing the norm of the gradient of the loss function for a neural network with respect to its parameters. This gradient norm can be computed efficiently for every example.