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Neural Network non mutually exclusive cross entropy loss function

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Manos Kav
Manos Kav 2018-5-4
回答： Greg Heath 2018-5-5
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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Greg Heath
Greg Heath 2018-5-5
The target matrix columns should contain the
NON-NEGATIVE UNIT SUM APRIORI CLASS PROBABILITIES !!!
See any text regarding statistical classification
Hope this helps
Thank you for formally accepting my answer
Greg

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