卷积神经网络模型应用研究

Research on Application of Convolution Neural Network Model

深入分析各种卷积神经网络模型,通过对比模型结构、复杂度,给出各种模型的优缺点。最后以典型的LeNet和ResNet进行实验,通过实验结果给出了效果和网络复杂度的数据,为其他研究者选择网络模型提供依据。

The advantages and disadvantages of various network models were given by comparing their structure and complexity.Finally,the typical LeNet and ResNet were used for experiments,and the data of the effect and network complexity were given through the experiment results,which could provide guidelines for other researchers to choose network models.