深度学习方面的必看的论文之类的

以下是一些深度学习领域的经典论文：

1. AlexNet: ImageNet Classification with Deep Convolutional Neural Networks (2012) - Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
2. VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition (2014) - Karen Simonyan, Andrew Zisserman
3. GoogLeNet: Going Deeper with Convolutions (2014) - Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Andrew Rabinovich
4. ResNet: Deep Residual Learning for Image Recognition (2015) - Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
5. LSTM: Long Short-Term Memory (1997) - Sepp Hochreiter, Jürgen Schmidhuber
6. GAN: Generative Adversarial Networks (2014) - Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio
7. DQN: Playing Atari with Deep Reinforcement Learning (2013) - Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller
8. U-Net: Convolutional Networks for Biomedical Image Segmentation (2015) - Olaf Ronneberger, Philipp Fischer, Thomas Brox
9. Transformer: Attention Is All You Need (2017) - Vaswani, Ashish, et al.
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2018) - Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

这些论文涵盖了深度学习中的重要算法和模型，对于深入了解深度学习领域非常有帮助