【深度学习】感受野

Author: amusi

docs/深度学习.md

@@ -162,8 +162,8 @@ if (this->layer_param_.pooling_param().pool() == PoolingParameter_PoolMethod_MAX
 **参考资料**
 
 - [卷积神经网络物体检测之感受野大小计算](https://www.cnblogs.com/objectDetect/p/5947169.html)
-
 - [如何计算感受野(Receptive Field)——原理](https://zhuanlan.zhihu.com/p/31004121)
+- [Computing Receptive Fields of Convolutional Neural Networks](https://distill.pub/2019/computing-receptive-fields/)
 
 
 ### 卷积神经网络的感受野