What are artificial neural networks used for? There are several ways artificial neural networks can be deployed including to classify information, predict outcomes and cluster data.

The Data Science Lab Neural Network Batch Training Using Python Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch ...

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 ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.

On a more basic level, [Gigante] did just that, teaching a neural network to play a basic driving game with a genetic algorithm. The game consists of a basic top-down 2D driving game.

Pre-training leads to faster and more accurate predictions In the first step, the team investigated whether training with retinal waves has any impact on a neural network's performance.

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian and two students recently released the open-sourced code for the largest language-generating spiking neural network ever, ...

Discover the 20 best neural network software. Learn about the features of each software and find the best one.