Coursera Deep Learning笔记 一步步实现神经网络

• 公式推导
  https://www.cnblogs.com/douzujun/p/13046923.html
  https://xienaoban.github.io/posts/12524.html

• 代码拆分实现
  https://www.cnblogs.com/douzujun/p/10325980.html

  1. Initialize parameters / Define hyperparameters
  2. Loop for num_iterations:
     a. Forward propagation
     b. Compute cost function
     c. Backward propagation
     d. Update parameters (using parameters, and grads from backprop)
  3. Use trained parameters to predict labels

• 实例：用手写神经网络实现识别猫
  https://www.cnblogs.com/douzujun/p/10344361.html