ThomasDelteil commented on issue #10959: [MXNET-423] Gluon Model Zoo Pre Trained Model tutorial URL: https://github.com/apache/incubator-mxnet/pull/10959#issuecomment-389922756 @safrooze I am not disputing the fact that freezing parameters is a useful (and used) technique, especially training difficult to converge networks like GANs where you want to freeze parts of your network at times to help convergence. However I think it is out of scope of a tutorial called **Using pre-trained models from the Gluon Model Zoo**. I would stick to my decision to not include a fully worked out example of fine-tuning, freezing parameters, etc. It should be the subject of a separate tutorial where its usefulness is demonstrable and demonstrated. It is the `Gluon` equivalent of this `Module` tutorial: https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/python/predict_image.md and this `Module` blog post: https://aws.amazon.com/fr/blogs/machine-learning/use-pre-trained-models-with-apache-mxnet/
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