Andrew-Coursera-DL课程-笔记part1-1（Neural Networks Basics）

Logistic Regression as a Neural Network

1. Binary Classification
   
2. Logistic Regression
   

3. Logistic Regression Cost Function
   
   loss function指一个数据的损失
   cost function指整个数据集的损失

4. Gradient Descent
   

5. Derivatives
   

6. Derivatives with a Computation Graph
   

7. Logistic Regression Gradient Descent
   

8. Gradient Descent on m Examples
   

Python and Vectorization

1. Vectorization
   

2. More Vectorization Examples
   

3. Vectorizing Logistic Regression
   
4. Vectorizing Logistic Regression’s Gradient Output
   
5. Broadcasting in Python
   ···

x1 = np.array([3,4,5])
print x1+5
[ 8  9 10]

1. A note on python/numpy vectors
   
   python中(m,n)+(1,n)==(m,n)+(m,n)
2. Explanation of logistic regression cost function