Hello,
I have a problem where i would like to predict single class “d” [000001] and multilabel [ “d”,“z”] [010100] class at the same time in a classifier with LSTM. So I mean my final Network will be able to predict both single label and multilabel class.
I want to know what would be the best aproach to this problem. Because I have seen either Single label or Multilabel Classifiers so far.
EXAMPLE:  a Classifier with LSTM
sequence 1 --> Target1
[“a” , “b” , “c”]  = “d”
“[000001]” , “[000010]” , “[000100]” = “[001000]”
sequence 2 --> Target 2
[“a”, “b”, “y”] =  [“d”, “z”]
“[000001]” , “[000010]” , “[010000]” = “[101000]”
Many Thanks