If your Neural Network model seems to have high variance, what of the following would be promising things to try?
Make the Neural Network deeper
N
Get more training data
Y
Get more test data
N
Add regularization
Y
Increase the number of units in each hidden layer
N
You are working on an automated check-out kiosk for a supermarket, and are building a classifier for apples, bananas and oranges. Suppose your classifier obtains a training set error of 0.5%, and a dev set error of 7%. Which of the following are promising things to try to improve your classifier? (Check all that apply.)
Increase the regularization parameter lambda
Y
Decrease the regularization parameter lambda
N
Get more training data
Y
Use a bigger neural network
N
Practical aspects of deep learning
原文地址：https://www.cnblogs.com/beatets/p/9485034.html