Hi guys,
I have a RNN with tabular data that needs to predict over 30 outputs at each time step. What I have observed is that the prediction of one output damages the other. Can you guys recommend some literature on how to specialize your NN to predict different outputs? I know that, for autonomous driving, you have many outputs being generated at the same time.
Thanks in advance!