last_output is the output of the model, but don’t forget that the softmax (not sigmoid) is inside the loss function. If you apply softmax you should have things that add up to 1 (when n=2, sigmoid and softmax are very similar but not equals)
last_output is the output of the model, but don’t forget that the softmax (not sigmoid) is inside the loss function. If you apply softmax you should have things that add up to 1 (when n=2, sigmoid and softmax are very similar but not equals)