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Loss Function for Binary Classification with Multiple Correct Choices
I have a binary classification problem, where there are multiple correct predictions, however, I would consider the prediction to be correct if the highest confidence prediction of a 1 is correct.
I ...
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Dice loss gives binary output whereas binary crossentropy produces probability output map
On recommendation of Kanak on stackoverflow I am posting this question here:
Currently I am experimenting with various loss functions and optimizers for my binary image segmentation problem. The loss ...
