Hi,
Maybe to be more precise in my question: in case I have multiclass target => Classes (A,B,C,D,E) and each class have subclasses for example:
Class “A” can be 0 or 1
Class “B” can be 2, 3 or 4
Class “C” can be 5 or 6
Class “D” can be 7,8,9,10,11 or 12
Class “E” can be 13,14, 15 or 16
All information is extracted from the same scene and object
…
Can this task be solved using one hot encoder or multi hot encoder. Or this is a multitask classification problem where I should use multiple outputs and calculate loss for each output independatly then sum them together…?
Thank you.