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Backpropagation by Hand: Two Layers, a Pen, and Then Autograd Agrees

This story is from 2026-08-23. It is preserved in the archive; the latest stories are on the live feed.

in the last piece i did autograd, and the whole point of it was that you call loss.backward() once and pytorch fills in every gradient for you, and a couple of people basically said the same thing back to me, ok that is nice but on a real network with more than one layer what is it actually doing i…

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  1. 2026-08-23 07:20 · DEV Community — Machine Learning
    Backpropagation by Hand: Two Layers, a Pen, and Then Autograd Agrees

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