resnet18参考文献

ResNet18是由Kaiming He等人于2016年提出的一种深度残差网络，用于解决深度神经网络中的退化问题。该网络结构通过引入残差连接（residual connections）来解决梯度消失和梯度爆炸的问题，从而能够训练更深的网络。

以下是关于ResNet18的参考文献：

1. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) (pp. 770-778).

2. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Identity mappings in deep residual networks. In European conference on computer vision (ECCV) (pp. 630-645).

3. Kaiming He's homepage: https://www.cs.cmu.edu/~kaiminghe/