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I find the gt_mband datasets only have one label, Why is it possible to do multiple classifications?
in addition, How do you do multiple classification using the binary crossentropy loss function
The text was updated successfully, but these errors were encountered:
This is a multi label classification problem not multi class classification,in multi label classification problem you can have a single picture that has more than 1 target label unlike multi class classification problem in which every entry has only 1 label. Multi-label classification you need to use binary cross entropy.
I find the gt_mband datasets only have one label, Why is it possible to do multiple classifications?
in addition, How do you do multiple classification using the binary crossentropy loss function
The text was updated successfully, but these errors were encountered: