Thanks again for your useful comments.
I totally agree with your comments about the tutorial, but I have changed it to multiple outputs. I want to go further with more complex situations to see the powerful of Pytorch. I have implemented it with Keras and now I want to compare the outcomes of Pytorch.
The predicted output in the tutorial is one with values (1,0), while I am trying to predict 8 outputs each output has several values, i.e: o1 is categorical which contains 4 values, while o2-o8 are numerical.
I don’t know if Pytorch can handle such complex use cases or no. My believe it does but I need little bit push to solve outputs implementation.



 ptrblck:

Could you compare your code to the tutorial again and make sure to use the right tensor as the target?


Yes, that’ what I want, how to use right tensor for this use case. I am new to Pytorch world.
Thanks again