Inception v1，v2,v3,v4論文彙總。

【時間】2019.08.08

【題目】Inception v1，v2,v3,v4論文彙總。

[v1] Going Deeper with Convolutions, 6.67% test error, http://arxiv.org/abs/1409.4842 
[v2] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, 4.8% test error, http://arxiv.org/abs/1502.03167 
[v3] Rethinking the Inception Architecture for Computer Vision, 3.5% test error, http://arxiv.org/abs/1512.00567 
[v4] Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning, 3.08% test error, http://arxiv.org/abs/1602.07261
一些分析見：

 

1、極簡解釋inception V1 V2 V3 V4

2、大話CNN經典模型：GoogLeNet（從Inception v1到v4的演進）

3、Inception-v2/v3結構解析（原創）

4、經典分類CNN模型系列其三：Inception v1