Andrew-Coursera-DL课程-笔记part1-2（Shallow neural networks）

1. Neural Networks Overview
2. Neural Network Representation
   
   
3. Computing a Neural Network’s output
4. Vectorizing acorss multiple examples
   
   

5. Explanation for Vectorized Implementation

6. Activation functions
   

7. Why do you need non-linear activation functions
   

8. Derivatives of activation functions

1. Gradient descent for Neural Networks



*号在这里表示 element product
1. Backpropagation intuition

1. Random Initialization