Why do we need for Shortcut Connections to build Residual Networks? Why do we need for Shortcut Connections to build Residual Networks, and how it help to train neural networks for classification and detection?
The short answer is that when a net is very deep it becomes very difficult for gradients to propagate backwards all the way. Skip connections offer "short cuts" for gradients to propagate further and allow for efficient training of very deep nets.