1.5k citations · 2.5k across the 34 of their papers we have counts for
Showing 2016 · cs.NEShow all
2 papers · 2 filters
cs.NE2016★ 36 cited
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott, Zhouhan Lin, Ying Zhang +2
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…
cs.NE2016★ 49 cited
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott, Zhouhan Lin, Ying Zhang +2
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…