Deep Independently Recurrent Neural Network (IndRNN)

Shuai Li, Wanqing Li, Chris Cook +1

Recurrent neural networks (RNNs) are known to be difficult to train due to the gradient vanishing and exploding problems and thus difficult to learn long-term patterns and construc…