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Applying fast.ai Lesson 1 techniques to my own data, incl. less than stellar (!) results on images of galaxies
3rd iteration, this time 10 epochs, then unfreeze, then 4 epochs. Still 74% accuracy is about as good as it gets.
4th iteration: 5 epochs, then unfreeze, then 4 epochs, resulting in 76% accuracy.
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I've updated the notebook, this time running 20 epochs instead of 4 (as suggested by Jeremy). Indeed, error rates for galaxies with the resnet34-based model are lower now, but still a long way from bears :)