第二周：神经网络的编程基础(Basics of Neural Network programming)
2.1 二分类(Binary Classification)2.2 逻辑回归(Logistic Regression)2.3 逻辑回归的代价函数（Logistic Regression Cost Function）2.4 逻辑回归的梯度下降（Logistic Regression Gradient Descent）2.5 梯度下降的例子(Gradient Descent on m Examples)2.6 向量化 logistic 回归的梯度输出（Vectorizing Logistic Regression’s Gradient Output）2.7 （选修）logistic 损失函数的解释（Explanation of logistic regression cost function ）Logistic Regression with a Neural Network mindset 代码lr_utils.py
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