2018年03月1日的内容
softmax回归分析
Softmax 是 Logistic 回归在多分类上的推广，即类标签 y 的取值大于等于 2。假设有 m 个训练样本\( {(x(1),y(1)),(x(2),y(2)),\ldots,(x(m),y(m))} \)，对于 Softmax 回归，其输入特征为：\(x(i) \in \Re_n+1 \)，类标记为：\(y(i) \in {0,1,\ldot……
03-01 立刻查看
快速熟悉numpy，101 个 NumPy 的常用代码
The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics. The questions are of 4 levels of difficulties with L1 being the e……
03-01 立刻查看
