Neural network pruning
Neural network pruning is a technique in machine learning used to reduce the size and complexity of artificial neural networks by removing unnecessary parameters or connections. This process aims to improve efficiency, decrease computational requirements, and sometimes enhance generalization without significantly compromising accuracy.