EE World Online

How does deep learning actually work?

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Deep Learning with Yacine on MSN

Highway Networks – Deep Neural Network Explained

Explore Highway Networks, a neural network architecture designed to improve training of deep networks. Concepts and examples ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

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 ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Neural networks and label-free microscopy enable accurate detection of pancreatic tumors

Pancreatic neuroendocrine neoplasms (PNENs) are a rare form of cancer that affects hormone-producing cells in the pancreas.
Heart

Retinal image-based deep learning for mild cognitive impairment detection in coronary artery disease population

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...