Machine Learning, Deep Learning, Neural Networks, Heartbeat, Mlops.
complex models (many parameters and many non-linearities) and they are easy to overfit (drive training error to zero); hence, we need some form of regularization. Different Scenarios We’ve already seen that as model complexity increases, the bias of the model decreases and variance increases (and