Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

This collection welcomes submissions on explainability techniques for deep learning neural networks, encompassing diverse neural architectures and ensuring broad applicability to different domains.

Deep learning systems—a type of unsupervised machine learning—are increasingly used with neural networks. They’re called “deep learning” because they contain large numbers of neural layers.

Deep learning is a subset of machine learning which uses neural networks to perform learning and predictions. Deep learning has shown amazing performance in various tasks, whether it be text, time ...

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.

Neural networks are usually trained with supervised learning. Deep learning uses neural networks that have a large number of “hidden” layers to identify features.