【论文阅读笔记】——Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift
Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift 论文地址 概括 BN减少了internal covariate shift,后者指代训练过程中数据经过每层后发生的分布变化，因为每层微小的参数更新即会影响其输出的数据的分布，而随着网络越深，这种影响会越来越大，使得学习
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相关文章
- 1. 论文阅读 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 2. [论文阅读] Batch Normalization: Accelerating Deep Network Training By Reducing Internal Covariate Shift
- 3. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》论文笔记
- 4. Batch Normalization：Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文笔记
- 5. 论文笔记：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文解读
- 7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文翻译（转）
- 8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift论文翻译
- 9. Batch normalization:accelerating deep network training by reducing internal covariate shift的笔记
- 10. 《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》阅读笔记与实现