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.

Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online. Training a neural network is the process of ...

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 ...

Researchers at TUM have now shown that artificial neural networks - which mimic the function of the brain - can also benefit from this kind of pre-training.

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