Residual neural networks are an exciting area of deep learning research -- Init.ai Decoded

I am highlighting several recent papers that show the potential of residual neural networks. Residual neural networks, or ResNets (Deep Residual Learning for Image Recognition), are a technique Microsoft introduced in 2015. The ResNet technique allows deeper neural networks to be effectively trained. ResNets won the ImageNet competition in December with a 3.57% error score. Recently, researchers have published several papers augmenting the ResNet model with some interesting improvements.