ThomasDelteil commented on issue #10959: [MXNET-423] Gluon Model Zoo Pre Trained Model tutorial URL: https://github.com/apache/incubator-mxnet/pull/10959#issuecomment-389695869 @indhub Thanks for the review! I have updated accordingly I have linked to 2 fine-tuning tutorials which cover quite well the subject, especially the straight dope one since it is using a model from the model zoo as well. As for freezing the parameters during fine-tuning, my experience has been that it consistently underperformed compared to full network fine-tuning, even with smaller datasets. Do you have any use-case or datasets where freezing parameters during fine-tuning would be advantageous? In my tests, I thought I would at least see faster convergence when freezing all but the last layer, but it took roughly the same time and got worse accuracy than full network training.
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