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JacobReynolds authored Feb 17, 2024
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# Back Propagation

Back propagation is the process of taking a series of [neurons](../neurons), starting at the end, and calculating the effect each neuron has on the outcome of the network. We do this by calculating the gradient (see [derivative](../derivatives/)) of each node.
Back propagation is the process of taking a series of [neurons](../neuron), starting at the end, and calculating the effect each neuron has on the outcome of the network. We do this by calculating the gradient (see [derivative](../derivatives/)) of each node.

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