2020
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
ICLR 2020spotlight
As deep neural networks (DNNs) achieve tremendous success across many application domains, researchers tried to explore in many aspects on why they generalize well. In this paper, we provide a novel perspective on these issues using the gradient signal to noise ratio (GSNR) of parameters during trai…