Master the math behind backpropagation with a clear, step-by-step derivation that demystifies neural network training.

By far the most common neural network training technique (but not necessarily the best) is to use what's called the back-propagation algorithm. Although there are many good references available that ...

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 ...

An Introduction to Neural Networks for a good in-depth walkthrough with the math involved in gradient descent. Backpropagation is not limited to function derivatives. Any algorithm that ...

Artificial intelligence (AI) has come a long way since its inception, and backpropagation is one of the most fundamental algorithms that has contributed to the development of machine learning. It is a ...

No one knew how to effectively train artificial neural networks with hidden layers — until 1986, when Hinton, the late David Rumelhart and Ronald Williams (now of Northeastern University) published ...

Researchers have shown that it is possible to train artificial neural ... these networks directly in the device by implementing an optical analogue of the 'backpropagation' algorithm, which ...