Regularization, Overfitting, Dropout Regularization, Early Stopping, Elastic Net.
really prevent overfitting, L2 might be the better choice, because it does not set any of the weight coefficients to zero. Elastic Net regularization is a good choice when you have correlated features and you want to balance the feature selection and overfitting prevention. It’s also useful when