深度學習中的數學與技巧(2):《Batch Normalization Accelerating Deep Network Training by Reducing Interna
今年過年之前，MSRA和Google相繼在ImagenNet圖像識別數據集上報告他們的效果超越了人類水平，下面將分兩期介紹兩者的算法細節。 這次先講Google的這篇《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》，主要是因爲這裏面的思想比較有普適性，而
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相關文章
- 1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift論文翻譯
- 2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文解讀
- 3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文翻譯（轉）
- 4. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》論文筆記
- 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. 論文閱讀 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 8. 論文筆記：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 9. [論文閱讀] Batch Normalization: Accelerating Deep Network Training By Reducing Internal Covariate Shift
- 10. 《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》閱讀筆記與實現