摘要：1. Information Information is defined by Shannon as one thing to eliminate random uncertainty. Or we can say, information is uncertainty. For example, 阅读全文

摘要：1. Minkowski distance $D(x, y)=\left(\sum_{u=1}^{n}\left|x_{u}-y_{u}\right|^{p}\right)^{\frac{1}{p}}$ (1) Manhattan distance $d(x, y)=\sum_{i=1}^{n}\l 阅读全文

摘要：1. Softmax is a non-linear activation function generally used as the last layer of a classification model the defination and formula of softmax is: $S 阅读全文