Hello,
I have a neural network with 100 outputs which solves a binary classification problem, ie every output can take value 0 or 1. I want to use cross-entropy performance function but as I see it only supports classification with mutually exclusive outputs. Is there any way to use crossentropy for non mutually exclusive outputs? I have found this answer but it seems not to work. ( https://www.mathworks.com/matlabcentral/answers/213915-can-target-vector-of-neural-network-have-sum-of-columns-1 ) Thanks in advance.
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