Machine Learning, Overfitting.
regularization. Regularization is the most used technique to penalize complex models in machine learning, it is deployed for reducing overfitting (or, contracting generalization errors) by putting network weights small. Also, it enhances the performance of models for new inputs. Penalty Terms