# 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.\
 $$L1LossFunction = \sum\_{i=1}^n |y\_{true}-y\_{predicted}|$$ 

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**L2 Loss function stands for Least Square Errors.** Also known as LS.\
 $$L2LossFunction = \sum\_{i=1}^n (y\_{true}-y\_{predicted})^2$$ 

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