从浅层网络到深度网络的图像分类研究综述

摘要

目前，图像已成为表达和存储信息的惯用形式。如何用计算机对海量图像进行高效分类，从而提取和组织需要的数据信息，已变成机器学习领域的一项高关注度课题。通过简述从浅层网络（神经网络）到深度网络的发展以及基于浅层网络和深度网络的图像分类的发展，并将浅层网络与深度网络进行对比，从而指出基于深度网络的图像分类技术更具有优势和巨大潜力。%At present ,the image has become a customary form of expression and store information .How to use a com‐puter to classify massive images efficiently ,and organize data to extract the information we need ,it has become a subject of high concern in the field of machine learning .By briefly described development from shallow network (neural network ) to deep network and image classification development of shallow network and deep network ,and compared by shallow network and deep network ,thus indicating the image classification technology based on deep network has more advantages and great potential .