What Does Backpropagation Mean?

Backpropagation is an algorithm used in artificial intelligence (AI) to fine-tune mathematical weight functions and improve the accuracy of an artificial neural network’s outputs.

Techopedia Explains Backpropagation

Backpropagation is used to adjust how accurately or precisely a neural network processes certain inputs. Backpropagation as a technique uses gradient descent: It calculates the gradient of the loss function at output, and distributes it back through the layers of a deep neural network. The result is adjusted weights for neurons.