| 이름 | 설명 |
|---|---|
| L1 | L1 regularization technique also called Lasso Regression Lasso Regression (Least Absolute Shrinkage and Selection Operator) adds “absolute value of magnitude” of coefficient as penalty term to the loss function. |
| L2 | L2 regularization technique also called Ridge Regression. Ridge regression adds “squared magnitude” of coefficient as penalty term to the loss function. Here the highlighted part represents L2 regularization element. |