Neural Network Pruning: Core to Optimizing Complex Models
In today’s era of widespread deep learning adoption, the scale of neural network models is constantly expanding. From image recognition to speech processing, complex neural networks often contain millions or even billions of parameters. While this parameter scale enhances model performance, it also gives rise to two critical challenges: first, the high demand for computational … Read more