深度学习常见链接
1.LeNet-5
论文《Gradient-based learning applied to document recognition》
web：http://yann.lecun.com/exdb/lenet/
2.AlexNet
论文《ImageNet Classification with Deep Convolutional Neural Networks》
3.ZFNet
论文《Visualizing and Understanding Convolutional Networks》
arxiv：https://arxiv.org/abs/1311.2901
4.Network In Network
5.VGG
论文《Very Deep Convolutional Networks for Large-Scale Image Recognition》
web：http://www.robots.ox.ac.uk/~vgg/research/very\_deep/
slides：http://www.robots.ox.ac.uk/~karen/pdf/ILSVRC\_2014.pdf
6.GoogLeNet(Inception V1)
论文《Going Deeper with Convolutions》
arxiv：https://arxiv.org/abs/1409.4842
7.Inception V2
论文《Batch Normalization：Accelerating Deep Network Training by Reducing Internal Covariate Shift》
8.Inception V3
论文《Rethinking the Inception Architecture for Computer Vision》
arxiv：https://arxiv.org/abs/1512.00567
一个5×5的卷积核可以由2次3×3的卷积代替
一个3×3的卷积核可以由1×3和3×1的卷积代替
原始Inception结构
把5×5的卷积由2次3×3的卷积代替后的Inception结构
把n×n的卷积由1×n和n×1的卷积代替后的Inception结构
9.Inception V4，Inception-ResNet
论文《Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning》
arxiv：https://arxiv.org/abs/1602.07261
Inception-v4
Stem
Inception-A
Reduction-A
Inception-B
Reduction-B
Inception-C
Inception-ResNet-v1
Inception-ResNet-v2
10.ResNet
论文《Deep Residual Learning for Image Recognition》
arxiv：https://arxiv.org/abs/1512.03385
11.SqueezeNet
论文《SqueezeNet：AlexNet-level accuracy with 50x fewer parameters and 0.5MB model size》
12.DenseNet
论文《Densely Connected Convolutional Networks》
arxiv：https://arxiv.org/abs/1608.06993
13.Xception
论文《Xception: Deep Learning with Depthwise Separable Convolutions》
arxiv：https://arxiv.org/abs/1610.02357
14.ResNeXt
论文《Aggregated Residual Transformations for Deep Neural Networks》
arxiv：https://arxiv.org/abs/1611.05431
15.PolyNet
论文《PolyNet: A Pursuit of Structural Diversity in Very Deep Networks》
arxiv：https://arxiv.org/abs/1611.05431
16.MobileNet
论文《MobileNets：Efficient Convolutional Neural Networks for Mobile Vision Applications》
17.ShuffleNet
论文《ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices》
18.DPN
论文《Dual Path Networks》
arxiv：https://arxiv.org/abs/1707.01629
19.NASNet
论文《Learning transferable architectures for scalable image recognition》
20.SENet
论文《Squeeze-and-Excitation Networks》
21.MobileNet v2
论文《Inverted Residuals and Linear Bottlenecks：Mobile Networks for Classification, Detection and Segmentation》
