Regularization

#deep-learning #interview
Regularization

Regularization is to penalize coefficient terms to avoid overfitting

Regularization is used to avoid Overfitting of the model.
Common ways are,

  1. L1 or Lasso Regression
  2. L2 or Ridge Regression
  3. Elastic Net Regression
  4. Dropout

Related Notes