Machine Learning, Neural Nets, Logistic Loss, Google Ai, Training.
standard loss function during training. But, the logistic loss is still limited when it comes to dealing with noisy data — it is sensitive to outliers and those that fall far away can dominate the overall loss. Also, mislabeled data can end up stretching the decision boundary. Google researchers