深度学习中的数学与技巧(2):《Batch Normalization Accelerating Deep Network Training by Reducing Interna
今年过年之前，MSRA和Google相继在ImagenNet图像识别数据集上报告他们的效果超越了人类水平，下面将分两期介绍两者的算法细节。 这次先讲Google的这篇《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》，主要是因为这里面的思想比较有普适性，而
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相关文章
- 1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift论文翻译
- 2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文解读
- 3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文翻译（转）
- 4. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》论文笔记
- 5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 6. 【inv2】Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 7. 论文阅读 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 8. 论文笔记：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 9. [论文阅读] Batch Normalization: Accelerating Deep Network Training By Reducing Internal Covariate Shift
- 10. 《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》阅读笔记与实现