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.

Back-propagation is the most common algorithm used to train neural networks. There are many ways that back-propagation can be implemented. This article presents a code implementation, using C#, which ...

Back-propagation is by far the most common neural-network training algorithm, but by no means is it the only algorithm. Important alternatives include real-valued genetic algorithm training and ...

Backpropagation, short for "backward propagation of errors," is an algorithm that lies at the heart of training neural networks. It enables the network to learn from its mistakes and make ...

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...