Shakedrop Regularization for Deep Residual Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960566
Abstract: Overfitting is a crucial problem in deep neural networks, even in the latest network architectures. In this paper, to relieve the overfitting effect of ResNet and its improvements (i.e., Wide ResNet, PyramidNet, and ResNeXt), we… read more here.
Keywords: shakedrop regularization; regularization deep; residual learning; deep residual ... See more keywords