【論文閱讀筆記】——Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift
Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift 論文地址 概括 BN減少了internal covariate shift,後者指代訓練過程中數據經過每層後發生的分佈變化，因爲每層微小的參數更新即會影響其輸出的數據的分佈，而隨着網絡越深，這種影響會越來越大，使得學習
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相關文章
- 1. 論文閱讀 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 2. [論文閱讀] Batch Normalization: Accelerating Deep Network Training By Reducing Internal Covariate Shift
- 3. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》論文筆記
- 4. Batch Normalization：Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文筆記
- 5. 論文筆記：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文解讀
- 7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 論文翻譯（轉）
- 8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift論文翻譯
- 9. Batch normalization:accelerating deep network training by reducing internal covariate shift的筆記
- 10. 《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》閱讀筆記與實現