Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks

5 Nov 2016Farkhondeh KiaeeChristian GagnéMahdieh Abbasi

The storage and computation requirements of Convolutional Neural Networks (CNNs) can be prohibitive for exploiting these models over low-power or embedded devices. This paper reduces the computational complexity of the CNNs by minimizing an objective function, including the recognition loss that is augmented with a sparsity-promoting penalty term... (read more)

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