Dropout training is a relatively new algorithm which appears to be highly effective for improving the quality of neural network predictions. It's not yet widely implemented in neural network API ...

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.

There are two different techniques for training a neural network: batch and online. Understanding their similarities and differences is important in order to be able to create accurate prediction ...

Curious about this strange new breed of AI called an artificial neural network? We've got all the info you need right here.

A new type of neural network that’s capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change ...

Artificial neural networks (ANN s) have proven to be extremely useful for solving problems such as classification, regression, function estimation and dimensionality reduction. However, it turns ...

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.