Machine Learning, Deep Learning, Artificial Intelligence, AI, Neural Networks.
Conclusion Regularization is an effective technique to resolve overfitting. Since we don’t know true distribution of the data, empirical risk, which is based of empirical distribution, is prone to overfitting. Therefore, the best strategy is to fit training data really well and then use a