Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures

Giovanni Bonetta, Matteo Ribero, Rossella Cancelliere

Deep neural networks exploiting millions of parameters are nowadays the norm in deep learning applications. This is a potential issue because of the great amount of computational r…