Inception v2
Inception v2
**[Inception v2](https://arxiv.org/pdf/1409.4842v1)** is the second generation of Inception convolutional neural network architectures which notably uses [batch normalization](https://paperswithcode.com/method/batch-normalization). Other changes include dropping [dropout](https://paperswithcode.com/method/dropout) and removing [local response normalization](https://paperswithcode.com/method/local-response-normalization), due to the benefits of batch normalization.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
https://paperswithcode.com/paper/batch-normalization-accelerating-deep-network
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift