Xiangyu Zhang
(2 articles)
2015
Residual Connections
DL architecture feature designed to help alleviate the vanishing gradient problem by allowing gradients to flow through a network more effectively.
Generality: 805
2015
ResNet
Residual Network
Residual Network
Type of CNN (Convolutional Neural Network) architecture that introduces residual learning to facilitate the training of much deeper networks by utilizing shortcut connections or skip connections that allow the gradient to bypass some layers.
Generality: 805