Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM

Hongxu Yin, Guoyang Chen, Yingmin Li +3

Many long short-term memory (LSTM) applications need fast yet compact models. Neural network compression approaches, such as the grow-and-prune paradigm, have proved to be promisin…