Research on Storage Compression Method Based on Deep Neural Network
Deep neural network has two characteristics:memory intensive and computation intensive,which makes it una-ble to meet the storage needs of mobile devices.Therefore,a storage compression method based on deep neural network is proposed.This method introduces a small number of neurons during the operation of deep neural network through SVD matrix singular value decomposition method and network pruning technology,and sets the number of neuron connections to reduce the weight model.Through a series of methods and countermeasures,the deep neural network model is greatly compressed without loss of accuracy as far as possible,and the compression degree reaches 5 x、15 × o
deep neural networkstorage compression methodnetwork pruning technologymatrix singular value de-composition method
万方数据
维普
