Back-Propagation is the most common algorithm for training neural networks. Here's how to implement it in C#.

The goal of the backpropagation algorithm is to adjust input weights so that the network will produce a higher value if it is shown this picture again—and, hopefully, other images containing hot ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

It is a mathematical method for training neural networks to recognize patterns in data. The history and development of the backpropagation algorithm, including the contributions of Paul Werbos, take ...

However, executing the widely used backpropagation training algorithm in multilayer neural networks requires information—and therefore storage—of the partial derivatives of the weight values ...

Yet that investment led to a cascade of research progress: a neural network model of how humans perceive letters and words; two volumes published in 1986 describing the team's theory of how neural ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Back-Propagation is the most common algorithm for training neural networks. Here's how to implement it in C#.