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LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.
Proceedings of the on Great Lakes Symposium on VLSI 2017, (2018): 35-40
Application-specific integrated circuit (ASIC) implementations for Deep Neural Networks (DNNs) have been adopted in many systems because of their higher classification speed. However, although they may be characterized by better accuracy, larger DNNs require significant energy and area, thereby limiting their wide adoption. The energy con...More
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