Week 1:
Binary classification:
输入矩阵：Ｘ=Nx行*m列的矩阵（假设有m个训练个体）Y=（1,m)矩阵
逻辑回归就是线性回归外面套了一个sigmoid()函数
sigmoid()=1/(1+e-z)
LR Cost Function:
L(y~,y) = 1/2(y~-y)2=-(ylogy~+(1-y)log(1-y~))
Week 1:
Binary classification:
输入矩阵：Ｘ=Nx行*m列的矩阵（假设有m个训练个体）Y=（1,m)矩阵
逻辑回归就是线性回归外面套了一个sigmoid()函数
sigmoid()=1/(1+e-z)
LR Cost Function:
L(y~,y) = 1/2(y~-y)2=-(ylogy~+(1-y)log(1-y~))
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