Machine Learning, Neural Nets, Logistic Loss, Google Ai, Training.
of the network using the suggested bi-temperature generalization of logistic loss, the training becomes more robust to noise. Potential Uses and Effects The proposed bi-tempered loss functions achieve excellent empirical performance on model training. It shows significant potential to handle