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Looks like the examples use TensorFlow, my understanding is that outside Google, most of the industry has centered around PyTorch for now. Do any practitioners have any opinions on which it's more valuable to learn and whether that makes a difference?

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Everyone uses PyTorch both in industry and academic research.

Some labs use JAX/Flax.

Companies that ships ML products often use Tensorflow.

I want to say that it doesn't matter much which one you start with, but you will have to learn PyTorch anyway- in the future- if you are serious about DL.

And the experience of working with PyTorch is Astronomical Units better than Tensorflow.

PyTorch is much more pleasant to work with and you can do really custom stuff pretty easily.

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