Ummm; for me, as a total layman w.r.t. ML, the Tensorflow snippet actually looks much more readable and understandable at high level... I guess it might be hard

Ummm; for me, as a total layman w.r.t. ML, the Tensorflow snippet actually looks much more readable and understandable at high level... I guess it might be harder to evaluate what's exactly happening inside (what precise algorithms are chosen, what are the runtime costs, etc.), but at least I have some kind of idea what this code might be doing. While between MSELoss, SGD, zero_grad and loss.backward(), all bets are off for me. So, what I want to say here, is that Tensorflow seems to at least win at readability; which I find a non-negligible aspect.