Hello,
Is it possible to multiply a trained model by a single scalar that is trainable and backpropagate the loss to that scalar?
I want to do this for two networks, so the idea is to train those two scalars to find how to ideally combine the two models’ weights (not the outputs).
Thanks in advance for any guidance.