I trained a Convolutional Neural Network with U-Net architecture for a regression problem. I have 20 output channels. After training, I would like to use the trained weights to test it on a dataset with 19 output channels. Is it possible?
Basically, I’m trying to check the output r^2 value of my model if I avoided different output channels. For that, I would like to train the network with all the 20 output channels and then use that inference for the same data set with 19 output channels or 18 output channels up to 1 output channel so that I can note down the effect of different channels r^2.