Latest·23 JUNE 2026·5 min read
Backprop is just the chain rule
Training a neural network sounds mystical, but the engine underneath is one idea from first-year calculus: the chain rule, applied backwards through a computation graph and reusing its work. We trace a forward and backward pass through a tiny graph, see why we run it in reverse, and connect it to the downhill step that actually does the learning.
softwaremachine-learningcalculus
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