(11)[ICML15] Batch Norm: Accelerating Deep Network Training by Reducing Internal Covariate Shift
計劃完成深度學習入門的126篇論文第十一篇，Google的Ioffe和Szegedy使用一種新的regularization方法或者說是新的initialization的方法Batch Normalization。 ABSTRACT&INTRODUCTION 摘要 因爲訓練過程當中各層輸入的分佈隨前一層參數的變化而變化，使得深度神經網絡的訓練變得複雜。這須要較低的學習率和謹慎的參數初始化，從而下降
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- 1. (11)[ICML15] Batch Norm: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 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
- 4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文翻譯（轉）
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- 8. 論文筆記：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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相關文章
- 1. (11)[ICML15] Batch Norm: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 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
- 4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文翻譯（轉）
- 5. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》論文筆記
- 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論文翻譯