Obsidian/Study/DL/吴恩达深度学习课程/Lesson 1.md

Neural Network and Deep Learning

Logistic Regression

$$\begin{align} 正向传递\ z &= w^Tx + b \ a &= \sigma(z) \ \hat{y} &= L(a) = -ylog(\hat{y}) - (1-y)log(1-\hat{y}) \ \ 其中(\hat{y} = a) \ 反向传递 \ \frac{dL}{da} \end{align}$$