According to the useful guidelines of @achaiah & @wangg12, I can fine tune the inception v3 model. However, I can’t save this model correctly and then reuse it again. Would you please help me?
I have tested both of the methods described at Recommended approach for saving a model 20, but they don’t work correctly for inception v3 model.
In fact, when I used the

torch.save(myInceptionModel, ‘./model.pth’)

approach, when I loaded the model and re use it (i.e., test some new images via the model and forward them to the loaded model), the following error has occurred:

result = i.index(self.index)
IndexError: index 1 is out of range for dimension 0 (of size 1)

And when I used the following approach for saving the model

torch.save(myInceptionModel.state_dict(), ‘./model.pth’)

the loaded model give me wrong answers (i.e., can’t predict the label of the images correctly in most of the samples).