1. (machine learning) an algorithm for training a neural network that computes the gradient of the loss function with respect to the weights of the network for a single known input and desired output pair (so the weights can be updated to minimize loss)
   "Backpropagation is a fundamental technique in training deep neural networks"

Encyclopedia: Backpropagation