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 ...

Let's explore mini-batch training, the third among a variety of back-propagation algorithms you can use for training a neural network.

In this paper, a novel algorithm, called parallel inertial S-iteration forward-backward algorithm (PISFBA) is proposed for finding a common fixed point of a countable family of nonexpansive mappings ...

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! # ...