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.

Researchers at TUM trained artificial neural networks using biological data from the early visual system development. These networks completed tasks more quickly and accurately than those without ...

By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.