1.5k citations · 4.1k across the 18 of their papers we have counts for
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cs.NE2015★ 85 cited
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang, Berin Martini, Eugenio Culurciello
Recurrent Neural Networks (RNNs) have the ability to retain memory and learn data sequences. Due to the recurrent nature of RNNs, it is sometimes hard to parallelize all its comput…
cs.NE2014★ 213 cited
Flattened Convolutional Neural Networks for Feedforward Acceleration
Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
We present flattened convolutional neural networks that are designed for fast feedforward execution. The redundancy of the parameters, especially weights of the convolutional filte…