Network Pruning

Network pruning is a technique that removes redundant parameters from complex networks to obtain lightweight models. Its goal is to reduce the number of model parameters while maintaining or approaching the performance of the original model. This method first trains an over-parameterized complex network, then prunes it based on certain criteria, and finally fine-tunes the pruned model. Network pruning has significant application value in improving model efficiency and reducing computational costs.