We revisit ResNet identity shortcut and propose RGSNets which are based on a new nonlinear ReLU Group Normalization (RG) shortcut, outperforming the existing ResNet by a relatively large margin. Our work is inspired by previous findings that there is a trade-off between representational power and gradient stability in deep networks and that the identity shortcut reduces the representational power.