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Hi, I have a model of the following structure. It has 6 outputs. Given an image, the model predicts classes of 6 different components from the image. The metrics I used are: As you can see it outputs an overall combined loss and separate losses for different outputs. But there is no combined accuracy score. What I want is a combined accuracy score ( Which will consider a sample is correct if all the output labels are correct). How can I calculate overall combined accuracy for my multioutput model? submitted by /u/Aditya_Larma |
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Combined accuracy of multioutput Model keras
