- [[L2 Regularization]] - [[L1 Regularization]] - [[Dropout Regularization]] - reduces model [[Bias and Variance|Variance]] / overfitting - $\lambda$ is the regularization parameter - you set this using the dev set - higher $\lambda$ incentivizes model to mellow down all parameters - so only really important/impactful parameters stay - while insignificant, potentially overfitting minor parameter nudges are wiped out - results in an overall simpler model