Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

19 Nov 2018Yu PanJing XuMaolin WangJinmian YeFei WangKun BaiZenglin Xu

Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in sequential data modeling. The hidden layers in RNNs can be regarded as the memory units, which are helpful in storing information in sequential contexts... (read more)

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