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ECONOMIC LONG SHORT-TERM MEMORY FOR RECURRENT NEURAL NETWORKS
ECONOMIC LONG SHORT-TERM MEMORY FOR RECURRENT NEURAL NETWORKS
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机译:经济性长期内存用于经常性神经网络
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摘要
Disclosed herein is a novel approach to Long Short-Term Memory (LSTM) that uses fewer units for processing than other LSTM systems currently available. This LSTM system has the ability to retain memory and learn data sequences using one gate. The benefit of the disclosed system is performing the learning process at a faster speed to the lower number computation units.
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