Regularization techniques
Regularization is a widely used technique since it brings a positive impact on the model’s performance. However, there are many methods of regularization. I will try to go through some of them in this post. First, what is regularization? Regularization is a technique that helps a machine learning model avoid overfitting and enhance it generalization capabilities over unseen data. Regularization techniques 1. L1, L2 regularization L2 and L1 regularization put a constraint on the model’s weights an biases....