Chapter 5: Hyper parameters on Turi create image_classifier

📚 Official Books Machine Learning by Tutorials
1

on chapter 5 on the book , it is written that you can decrease the amount of overfitting by changing some hyper parameters.

Is it possible to get a concrete example how to do that ?

Thanks

2

In the section “Training the classifier with regularization” of that chapter, it shows how to change the L1 / L2 penalty to reduce overfitting. That is an example of changing the hyperparameters.