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Simple demonstration of the Knowledge Distillation framework with neural networks
Hey! I was just browsing around for some toy code for distillation and found yours. It's very useful!
If I'm not wrong, I think that the standalone small model's loss should have the from_logits
set to be False
because the mode's output layer already has a softmax? When I changed this, I observed that it achieves the same error as the distilled student model.
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