Machine Learning, Neural Nets, Logistic Loss, Google Ai, Training.
noise that brings a lot of challenges for ML models. For instance, noise can be a result of mislabeled data during data collection, lens flare in images, and more. ML models depend on loss functions to reduce errors in data. For classification models, the logistic loss (also softmax loss) is a