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docs/深度学习.md
@@ -254,6 +254,8 @@ if (this->layer_param_.pooling_param().pool() == PoolingParameter_PoolMethod_MAX
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**参考资料**
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+- [深度学习中的五种归一化(BN、LN、IN、GN和SN)方法简介](https://blog.csdn.net/u013289254/article/details/99690730)
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- [BatchNormalization、LayerNormalization、InstanceNorm、GroupNorm、SwitchableNorm总结](https://blog.csdn.net/liuxiao214/article/details/81037416)
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## 优化算法
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