Learning Various Length Dependence by Dual Recurrent Neural Networks

Chenpeng Zhang, Shuai Li, Mao Ye +2

Recurrent neural networks (RNNs) are widely used as a memory model for sequence-related problems. Many variants of RNN have been proposed to solve the gradient problems of training…