Understanding Model Pruning: How Does It Impact Performance?

25 Eki 08:00

I'm trying to get a solid grasp on model pruning in machine learning. Specifically, how does pruning weights or neurons influence a model's accuracy, inference speed, and memory footprint? Are there typical thresholds where benefits outweigh loss? Also, what are common strategies to prune without sacrificing too much performance? Would love to hear your experiences and any recommended resources. 🤔