To prune, or not to prune: exploring the efficacy of pruning for model compression

Michael Zhu, Suyog Gupta

Model pruning seeks to induce sparsity in a deep neural network's various connection matrices, thereby reducing the number of nonzero-valued parameters in the model. Recent reports…