Does anyone know if there is a way to build a DL4J neural network model to train the same model on multiple targets at the same time?
I’ve got a classification problem with multiple outputs but using the DL4J Feedforward Learner the only option seems to be to specify a single target. Is there a way around this? It is important for me that the network learns features in the hidden layers based on all targets rather than building a separate model for each target…?
Thanks in advance for your help!