梯度下降 for NN (2)

1. find the slope of the error surface
2. how much to go down the error surface
3. how the weights should be adjusted after each iteration
4. when to stop training and what governs the decision
5. whether the solution is suboptimal
6. how good the final model is and how to assess its goodness of fit