no code implementations • 4 Dec 2018 • Alexey Kruglov
The trainable parameters of our pruning method are separate from the weights of the neural network, which allows us to avoid the interference with the neural network solver (e. g. avoid the direct dependence of pruning speed on neural network learning rates).