pruning

Pruning is a technique used to reduce the size of neural networks by eliminating weights that contribute little to the model's output. This process can significantly decrease the model size and improve inference speed. A common misconception is that pruning always deteriorates model performance; however, when done correctly, it can retain high accuracy while minimizing resource consumption.