Regularization : Do larger weights imply complex model?

[Christian_Simonis]

You might find this discussion interesting where I believe all your open points are being answered:

Regularization: Intuition and Conservation of influence

Hi there, I think the best way intuitive-wise is to take a look at your loss function and the components it consists of. Ask yourself how large is lambda, so how „important“ is regularization in comparison with your performance goal: https://developers.google.com/machine-learning/crash-course/regularization-for-simplicity/lambda The result afterwards is the output of your optimization problem on this very loss function. Independent of this: feature ranking might be a nice tool for you if you …

The purpose of L1 vs L2 regularization is also discussed here: Do you see regularization the way I do? - #2 by Christian_Simonis

Feel free to take a look!

Best regards
Christian