# L1 and L2 Loss Function

L1 and L2 are two loss functions in machine learning which are used to minimize the error.

**L1 Loss function stands for Least Absolute Deviations.**Also known as LAD.

$L1LossFunction = \sum_{i=1}^n |y_{true}-y_{predicted}|$

**L2 Loss function stands for Least Square Errors.**Also known as LS.

$L2LossFunction = \sum_{i=1}^n (y_{true}-y_{predicted})^2$

Last modified 2yr ago