Abstract:Deep neural networks (DNNs) have several technical issues on computational complexity, redundancy, and the parameter sizeespecially when applied in embedded devices. Among those issues, lots of parameters require high memory capacity which causes migration problem to embedded devices. Many pruning techniques are proposed to reduce the network size in deep neural networks, but there are still various issues that exist for applying pruning techniques to DNNs. In this paper, we propose a simple-yetefficient schem… Show more
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