卷积神经网络综述

Survey of Convolutional Neural Network

近年来随着深度学习的发展,图像识别与分类问题取得了飞速进展。而在深度学习的研究领域中,卷积神经网络被广泛应用于图像识别。文章对前人在卷积神经网络领域的研究成果进行了梳理与总结。首先介绍了深度学习的发展背景,然后介绍了一些常见卷积网络的模型,并对其中的微网络结构进行简述,最后对卷积神经网络的发展趋势与特点进行分析与总结。在未来的研究中,卷积神经网络仍将作为深度学习的一种重要模型得到进一步发展。

In recent years,with the development of deep learning,image recognition and classification problems have made rapid progress.In the field of deep learning,convolutional neural network is widely used in image recognition.In this paper,the previous research results in the field of convolutional neural network are combed and summarized.Firstly,it will introduce the development background of deep learning,and then introduce some common convolutional network models,and briefly describes the micro network structure.Finally,it will analyze and summarize the development trend and characteristics of convolutional neural network.In the future research,convolutional neural network will be further developed as an important model of deep learning.