This is what a confident mistake looks like

Cross-entropy, the loss behind almost every classifier, as a landscape and as a bet. A classifier doesn't just pick an answer. It gives every class a score, and softmax turns those scores into probabilities: cat, dog, bird. To learn, the model needs one number that says how good those probabilities were. For classifiers, that number is almost... Weiterlesen: This is what a confident mistake looks like