While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

Hyperspectral image reconstruction using deep learning techniques has emerged as a transformative research area, enabling the recovery of high spectral resolution data from lower-dimensional inputs ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks without significantly compromising ...

The Center for Deep Learning’s (CDL) mission is to act as a resource for companies seeking to establish or improve access to artificial intelligence (AI) by providing technical capacity and expertise, ...

Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230034 discusses how the synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern ...