吴恩达机器学习课程Neural Network步骤

1. Randomly initialize the weights
2. Implement forward propagation to get hΘ(x(i)) for any x(i)
3. Implement the cost function
4. Implement back propagation to compute partial derivatives
5. Use gradient checking to confirm that your back propagation works. Then disable gradient checking.
6. Use gradient descent or a built-in optimization function to minimize the cost function with the weights in theta.