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Most tutorials, videos and courses teach PyTorch by explaining the ML theory and then coding up the model architecture, etc.
I already know the theory and instead want to focus on the PyTorch best coding practices, common bugs and mistakes, etc. What would be a good tutorial for learning PyTorch for someone who wants to focus on just the coding?
From another angle, my question could be: What would be a good PyTorch tutorial for someone who already knows some other ML framework and therefore is quite familiar with all the concepts involved?
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