Backpropagation — ML Glossary documentation
Type Cheat sheet
Created 2017
Identifier unavailable
Description
The goals of backpropagation are straightforward: adjust each weight in the network in proportion to how much it contributes to overall error. If we iteratively reduce each weight’s error, eventually we’ll have a series of weights that produce good predictions.
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In machine learning, backpropagation (backprop, BP) is a widely used algorithm for training feedforwa...
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