Backpropagation

Quick meaning: Backpropagation is a noun meaning (machine learning) An error correction technique used in neural networks.

Meaning

(machine learning) An error correction technique used in neural networks.

More Meanings

1. (neurology) A phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon, as normally, and also back through to the dendrites from which much of the original input current originated.

Example Sentences

In machine learning, backpropagation of error (‘backprop’) is the algorithm most often used to train deep neural networks and is the most successful learning procedure for these networks.

Experiments show that these ion channels furnish the dendrites with a rich repertoire of electrical behaviors, from essentially passive responses, to subthreshold active responses, to active backpropagation of the action potential (AP) from the soma into the dendrites, to the initiation of APs in the dendritic tree.

Word Forms

• backpropagations

Related Words

Related dictionary entries include backjumping, backstepping, autocorrect, self-play, autocorrection, copyback.

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