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I assume this is more intro to Pytorch than intro to ML.

Any tips on an high quality intro to ML content using PyTorch for the hands on examples?



The Fast.ai courses are great.


Seconded. Their courses are superb, and they have their own library built on top of PyTorch that makes creating high quality models even easier.

You start with their lib, and over time they teach you all the techniques they're using, so the easy black box you start with becomes more transparent over time. It's a hands-on, code-first approach.




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