Tensor Decomposition for Compressing Recurrent Neural Network
Tensor Decomposition for Compressing Recurrent Neural Network
In the machine learning fields, Recurrent Neural Network (RNN) has become a popular architecture for sequential data modeling. However, behind the impressive performance, RNNs require a large number of parameters for both training and inference. In this paper, we are trying to reduce the number of parameters and maintain the …