Pruning

Pruning is a technique used in machine learning and deep learning to reduce the size of a model by removing less important parameters or neurons. This process helps to decrease the computational load and improve the efficiency of the model without significantly affecting its performance. Commonly applied in decision trees and neural networks, pruning can lead to faster inference times and lower memory usage. It is especially useful in scenarios where resources are limited, such as mobile or embedded systems, making it a vital strategy for deploying AI applications effectively.