Hello,
I’ve encountered a conceptual question about transfer learning.
Suppose that I recall resnet50 model (pretrained module is True) and then, for my personal aim, I change the first layer (such that it accepts one channel image now) and the last layer (in this case, I add an additional fc layer to the end of the network). Now, my question is, what happens to the weights of the first layer (which I change that). In addition, what are the initial weights of my last layer (which wasn’t trained in the original one). Lastly, do the weights of 3 channel model fit properly to a one channel model?
thanks