注意：基于GB/T 7714格式，论文发表时间不等于提出时间。
（1）Lenet（1998）
[1] LeCun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324.
（2）Alexnet（2012）
[1] Krizhevsky A , Sutskever I , Hinton G . ImageNet Classification with Deep Convolutional Neural Networks[J]. Advances in neural information processing systems, 2012, 25(2).
（3）VGG（2014）
[1] Simonyan K , Zisserman A . Very Deep Convolutional Networks for Large-Scale Image Recognition[J]. Computer Science, 2014.
（4）NiN（2014）
[1] Lin M , Chen Q , Yan S . Network In Network[C]// ICLR. 2014.
（5）GoogLenet（2014）
[1] Szegedy C , Wei L , Jia Y , et al. Going deeper with convolutions[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015.
（6）批量归一化（2015）
[1] Ioffe S , Szegedy C . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[J]. JMLR.org, 2015.
（7）Resnet（2015）
[1] He K , Zhang X , Ren S , et al. Deep Residual Learning for Image Recognition[C]// IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2016.
（8）Densenet（2017）
[1] Huang G , Liu Z , Laurens V , et al. Densely Connected Convolutional Networks[J]. IEEE Computer Society, 2016.