卷积神经网络反向传播有没有推荐的论文

以下是卷积神经网络反向传播相关的经典论文：

1. Backpropagation Through Time: What It Does and How to Do It Efficiently (1990) by Paul Werbos
2. Learning Representations by Back-Propagating Errors (1986) by David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams
3. Convolutional Neural Networks for Image Classification (2012) by Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton
4. Visualizing and Understanding Convolutional Networks (2014) by Matthew D. Zeiler and Rob Fergus
5. Deep Residual Learning for Image Recognition (2016) by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (2014) by Karen Simonyan and Andrew Zisserman
7. Going Deeper with Convolutions (2015) by Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich

以上论文都是关于卷积神经网络反向传播的经典之作，对于深入了解卷积神经网络反向传播非常有帮助。