Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm

Anthony Berthelier, Yongzhe Yan, Thierry Chateau +3

While deep neural networks (DNNs) have proven to be efficient for numerous tasks, they come at a high memory and computation cost, thus making them impractical on resource-limited…