Hi,
I’m new to transfer learning and I got two questions about inceptionV3.


I’m following the pytorch transfer learning tutorial and I’m gonna do ‘ConvNet as fixed feature extractor’ (https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html 17). So I should freeze all the layers except the FINAL fc layer. But what about the fc layer in auxillary classifier? Am I supposed to unfreeze this fc layer?


According to my understanding, if we don’t set the model to evaluation mode (model.eval()), there will be two outputs: one from the auxillary fc layer and the other from the final fc layer. So we have to set the model to eval mode when testing the model. Is this correct?


Thanks a lot!！