Convolutional Neural Networks with Alternately Updated Clique
Convolutional Neural Networks with Alternately Updated Clique
Improving information flow in deep networks helps to ease the training difficulties and utilize parameters more efficiently. Here we propose a new convolutional neural network architecture with alternately updated clique (CliqueNet). In contrast to prior networks, there are both forward and backward connections between any two layers in the same …