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View Code? Open in Web Editor NEWBrief description of deep neural network pruning which is built on MNIST dataset. The technique I have used is weight pruning, which involves trimming off unnecessary weights from the network without much effect on accuracy. Generally after trimming 80% of total weights in network, the accuracy of model start declining sharply (in this particular network).