Machine Learning, Deep Learning, Neural Networks, Heartbeat, Mlops.
meaning the network’s training loss would be more. By adding the regularized term, we’re fooling the model such that it won’t drive the training error to zero, which in turn reduces the complexity of the model. Therefore, L2 regularization helps reduce the overfitting of data. Dataset Augmentation