What is the purpose of the L2 regularization?

Promote sparsity

Prevent overfitting with smaller weights

Increase model complexity

Reduce training data

L2 regularization (Ridge) adds a penalty equal to the square of coefficients, encouraging smaller weights.

Strengthen Your Practice with our comprehensive question bank.

Get Expert Advice for Free: Register for Your Free Consultation Now!

Full Name

Phone Number

Select Language

Select Course

Please leave this field empty.