Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

nobeastsofierce / Shutterstock A new study from Oxford University has uncovered why the deep neural networks (DNNs) that power modern artificial intelligence are so effective at learning from data.

To address this issue, researchers from Wuhan University have developed a transfer learning-enhanced physics informed neural network (TLE-PINN) method that combines enhanced EPINN with deep ...