Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices.
ICCAD, pp. 458-465, 2017.
Deep neural networks (DNNs) have emerged as the most powerful machine learning technique in numerous artificial intelligent applications. However, the large sizes of DNNs make themselves both computation and memory intensive, thereby limiting the hardware performance of dedicated DNN accelerators. In this paper, we propose a holistic fram...更多
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