BN——Batch Norm原理Batch Normalization,Accelerating Deep Network Training
参考论文 “Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift“ 1， 深度网络训练在实际中是复杂的， 在训练期间，随着前面层参数的变化，每一层输入分布也会随之发生变化（不是真实的输入分布）。——>内部协方差偏移 这使得训练会变得更慢，所以需要更低的学习率和更精
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- 1. (11)[ICML15] Batch Norm: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 2. 理解BN(Batch Normalization)
- 3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文解读
- 4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文翻译（转）
- 5. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》论文笔记
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- 9. 【inv2】Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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相关文章
- 1. (11)[ICML15] Batch Norm: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 2. 理解BN(Batch Normalization)
- 3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文解读
- 4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 论文翻译（转）
- 5. 《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift》论文笔记
- 6. Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift论文学习
- 7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 8. Batch Normalization: Accelerating Deep Network Training b y Reducing Internal Covariate Shift
- 9. 【inv2】Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- 10. 论文阅读 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift