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Showing 2013 · cs.LGShow all
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cs.LG2013★ 52 cited
Multi-GPU Training of ConvNets
Omry Yadan, Keith Adams, Yaniv Taigman +1
In this work we evaluate different approaches to parallelize computation of convolutional neural networks across several GPUs.
cs.LG2013★ 697 cited
Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh +2
We demonstrate that there is significant redundancy in the parameterization of several deep learning models. Given only a few weight values for each feature it is possible to accur…