Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

24 May 2017 Huizi Mao Song Han Jeff Pool Wenshuo Li Xingyu Liu Yu Wang William J. Dally

Sparsity helps reduce the computational complexity of deep neural networks by skipping zeros. Taking advantage of sparsity is listed as a high priority in next generation DNN accelerators such as TPU... (read more)

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