Machine Learning, Loss Function, Deep Learning, Heartbeat, Mlops.
Divergences Logistic loss functions don’t perform very well during training when the data in question is very noisy. Such noise can be caused by outliers and mislabeled data. In this paper, Google Brain authors aim to solve the shortcomings of the logistic loss function by replacing the logarithm