pytorch-implementation

Implemented Papers

Gradient-Based Learning Applied to Document Recognition (Paper, Review, Code)
ImageNet Classification with Deep Convolutional Neural Networks [NeurIPS 2012] (Paper, Review, Code)
Very Deep Convolutional Networks for Large-Scale Image Recognition [ICLR 2015] (Paper, Review, Code)
Rethinking the Inception Architecture for Computer Vision [CVPR 2016] (Paper, Code)
Inception-V4, Inception-ResNet and the Impact of Residual Connections on Learning [AAAI 2017] (Paper, Code)
Deep Residual Learning for Image Recognition [CVPR 2016] (Paper, Code)
Densely Connected Convolutional Networks [CVPR 2017] (Paper, Code)

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
.gitignore		.gitignore
1.LeNet5.ipynb		1.LeNet5.ipynb
2.AlexNet.ipynb		2.AlexNet.ipynb
3.VGG.ipynb		3.VGG.ipynb
4.Inception_V3.ipynb		4.Inception_V3.ipynb
5.Inception_V4.ipynb		5.Inception_V4.ipynb
6.ResNet18.ipynb		6.ResNet18.ipynb
7.DenseNet121.ipynb		7.DenseNet121.ipynb
README.md		README.md