深度学习的经典算法的论文、解读和代码实现

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深度学习是目前最火的算法领域。他在诸多任务中取得的骄人成绩使得其进化越来越好。本文收集深度学习中的经典算法，以及相关的解释和代码实现。目前主要包括CNN和RNN两大块内容。后续将持续更新，考虑加入强化学习以及生成对抗网络等。欢迎交流。

### CNN网络的经典算法
#### LeNet-5
来源论文：[LeCun, Yann, et al. "Gradient-based learning applied to document recognition." Proceedings of the IEEE 86.11 (1998): 2278-2324.](https://ieeexplore.ieee.org/document/726791)

论文详解：[CNN入门算法LeNet-5详解](https://www.datalearner.com/blog/1051558664111790)

代码实现：https://github.com/TaavishThaman/LeNet-5-with-Keras

#### AlexNet
来源论文：[Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012.](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf)

论文详解：[CNN经典算法AlexNet介绍](https://www.datalearner.com/blog/1051558919769185)

代码实现：https://github.com/hjptriplebee/AlexNet_with_tensorflow

#### VGG

来源论文：[Simonyan, Karen, and Andrew Zisserman. “Very deep convolutional networks for large-scale image recognition.” arXiv preprint arXiv:1409.1556 (2014).](https://arxiv.org/pdf/1409.1556.pdf%20http://arxiv.org/abs/1409.1556)

论文详解：[CNN经典算法VGGNet介绍](https://www.datalearner.com/blog/1051559048634862)

代码和预训练资源：[VGGNet预训练模型及代码资源](https://www.datalearner.com/blog/1051559048634862#%E5%9B%9B%E3%80%81VGGNet%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B%E5%8F%8A%E4%BB%A3%E7%A0%81%E8%B5%84%E6%BA%90)

#### Inception
##### Inception-v1(GoogLeNet)
来源论文：[Szegedy, Christian, et al. “Going deeper with convolutions.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.](https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf)

论文详解：[CNN经典算法之Inception V1（GoogLeNet）](https://www.datalearner.com/blog/1051559096989577)

代码和预训练资源：[GoogLeNet代码资源（Tensorflow）](https://github.com/conan7882/GoogLeNet-Inception)

##### BN-Inception
##### Inception-v2
##### Inception-v3
##### Inception-v4
##### Inception-ResNet
#### NASNet
#### ResNet
#### R-CNN
##### R-CNN
##### Fast R-CNN
##### Faster R-CNN
#### FCN
##### FCN
##### R-FCN
#### YOLO
##### Yolo v1
##### Yolo v2
##### Yolo v3
#### SSD

### RNN的经典算法
#### RNN
#### GRU
#### LSTM
#### Encoder-Decoder
#### Attention
#### Transformer
#### BERT

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