> A classifier generally outputs a vector of weights, so it’s likely classifying, say [0.8, 0.75] and then the output is selecting the highest and saying “bunny

> A classifier generally outputs a vector of weights, so it’s likely classifying, say [0.8, 0.75] and then the output is selecting the highest and saying “bunny”. Then you rotate it, and the classifier says [0.75, 0.8] and the output says “duck”. The original post actually included the predicted probabilities, which are around 80% for duck or rabbit and 0% for the other class. So the neural network really is overconfident.