Recurrent Neural Networks With Limited Numerical Precision

24 Aug 2016Joachim OttZhouhan LinYing ZhangShih-Chii LiuYoshua Bengio

Recurrent Neural Networks (RNNs) produce state-of-art performance on many machine learning tasks but their demand on resources in terms of memory and computational power are often high. Therefore, there is a great interest in optimizing the computations performed with these models especially when considering development of specialized low-power hardware for deep networks... (read more)

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