林彦
2018-01-31
神经网络里的常用损失函数，交叉熵依据的K-L散度是衡量2种概率分布之间的差异。但是不符合对称性，因此不能算一种距离的度量
3
林彦
2018-01-31
聚类里面也会衡量分布的距离来评估聚类的效果。不知道问题理解对不对。期望看到更多人的答案和得到老师的提示。谢谢
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