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Chapter 5: Hyper parameters on Turi create image_classifier

#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 ‚ÄúTraining the classifier with regularization‚ÄĚ of that chapter, it shows how to change the L1 / L2 penalty to reduce overfitting. That is an example of changing the hyperparameters.