alex_d:

So would you say that if you have a small dataset, having the the feature_extract parameter set to True would generally yield better results? Specifically if you have classes from the original domain the pre-trained model was trained on, like in my case where I have car and background?


This would be my best guess, yes.
If your dataset is small and from the same domain, I would first try to only retrain the classifier and freeze all other layers.
However, a quick test retraining the whole model might yield other results, so it would be interesting what works better for your use case.