Can we use any of the various types of Deep Neural Networks for Ordinal Classification? If yes, then how? If no, then what is the limiting problem? I know that CovNets with a softmax output can be used for classification between n classes. Is there a way this can be extended/modified for ordinal classification?
Finally, I would like both class label and its ordinal output.
I think ordinal classification is part of regression (please clarify). So, I am asking for a DNN that can do both classification and regression. Is this possible?