Network Pruning
摘要
Network pruning is a technique used in deep learning to reduce the size and complexity of neural networks by eliminating unnecessary connections or parameters. Pruning aims to create more efficient and streamlined models that maintain or improve performance while reducing computational requirements and memory footprint.