Machine Learning, Neural Nets, Logistic Loss, Google Ai, Training.
high-temperature generalization. By the same token, the logarithm in the log loss for training is swapped by a low-temperature logarithm. They then create non-convex loss functions that are already in the single-layer case by tuning the two temperatures. In the process of replacing the last layer