I am training a dagg network with two objective functions, i.e. a multi-tasking network. I have some queries in this regard and I really appreciate your help.
If we notate loss 1 with L1 and loss 2 with L2, is the network considering the total loss as L1+L2?
Should the two loss functions reside in a similar range? One of the loss functions yields values around 100 and the other values less than 5. For example, if L1 = 120, L2 is 1.5. Do I have to take them in a similar range?
If I want to give more importance to one objective function, is there a way to make the total loss function something like aL1 + bL2? Where I can make such modification?
Dear all,
I am training a dagg network with two objective functions, i.e. a multi-tasking network. I have some queries in this regard and I really appreciate your help.
Thanks