卷积神经网络模型研究分析

Research and Analysis of Convolutional Neural Network Model

文章讲述卷积神经网络的思想、基础知识,介绍了经典的卷积神经网络的方法,引入了卷积神经网络的最新改进方法,并对各个模型架构进行了分析,最后,通过实验,展示了多种方法性能,为研究者选择模型进行科研和教学提供了依据。

This paper traces the idea and basic knowledge of convolutional neural network,introduces the classical methods of convolutional neural network,as well as the latest improved methods of convolutional neural network,and analyzes the architecture of each model.Finally,through experiments,the performance of various methods is demonstrated,which provides a basis for researchers to choose models for scientific research and teaching.