A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...

In 2021, InfoQ covered a biologically-plausible alternative to backpropagation called zero-divergence inference learning (Z-IL) which can exactly reproduce the results of backpropagation.

Backpropagation algorithms, likewise, have any number of implementations. A common approach is to use partial derivatives calculus ... Machine learning with backpropagation.

Resilient back propagation (Rprop), an algorithm that can be used to train a neural network, is similar to the more common (regular) back-propagation. But it has two main advantages over back ...

Back Propagation is a common method of training artificial neural networks so as to minimize objective function. This paper describes the implementation of back propagation algorithm.