论文解读（持续更新+自己解读+优秀解读传送门）
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深度学习优秀论文解读
一、深度学习
1.深度残差网络
Deep Residual Learning for Image Recognition
也谈深度残差网络
[译] Deep Residual Learning for Image Recognition (ResNet)
Deep Residual Networks学习(一)
2.Going Deeper with convolutions–GoogLeNet
Going Deeper with convolutions
Inception in CNN
（GoogLeNet）Going deeper with convolutions
GoogLeNet系列解读
GoogleNet模型解读
3. Generative Adversarial Nets–GAN
Generative Adversarial Nets（译）
Generative Adversarial Nets论文笔记+代码解析
4.Conditional Generative Adversarial Nets–CGAN
Conditional Generative Adversarial Nets论文笔记
《Conditional Generative Adversarial Nets》阅读笔记
GANs学习系列(6):条件生成式对抗网络Conditional Generative Adversarial Networks
5.UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS–DCGAN
6.VGG：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
VGG：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION论文笔记
VGG：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION译文
卷积神经网络初窥——VGG19学习笔记
VGG 论文笔记
VGG ILSVRC 16 layers美丽的小图
7.AlexNet
8.InFoGAN
9.FCN
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