Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Shuai Li, Wanqing Li, Chris Cook +2

Recurrent neural networks (RNNs) have been widely used for processing sequential data. However, RNNs are commonly difficult to train due to the well-known gradient vanishing and ex…