E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks

20 Nov 2017Franyell SilfaGem DotJose-Maria ArnauAntonio Gonzalez

Recurrent Neural Networks (RNNs) are a key technology for emerging applications such as automatic speech recognition, machine translation or image description. Long Short Term Memory (LSTM) networks are the most successful RNN implementation, as they can learn long term dependencies to achieve high accuracy... (read more)

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