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Who's to blame when a network gets it wrong?

Backpropagation, step by step: how one backward pass hands every weight its share of the blame. When a neural network makes a wrong prediction, training has to fix it. But a network has many weights, and each one played some part in the mistake. Before we can change anything, we need to know how mu…

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  1. 2026-10-31 23:20 · DEV Community — Machine Learning
    Who's to blame when a network gets it wrong?

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