Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI.

Dive into the concept of Local Response Normalization (LRN) in deep learning. This video breaks down its role in neural networks and how it helps improve model performance.

To address the gap in current approaches, an innovative dynamic self-learning neural network (DSLNN) is proposed. Inspired by the human eye’s ability to adjust focus, the network introduces an ...

Merging with Fourier transforms and pupil aperture scanning causes difficulty in reconstructing high-resolution images by the commonly used deep neural ... network can provide better reconstruction ...

Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.

A new study at the Technion-Israel Institute of Technology in Haifa reveals how the brain reorganizes its neural networks during such skill learning and uncovers the vital role of dopamine in this ...

However, the neural mechanisms that support ... to tell if other regions may be supporting the learning processes at timescales not detectable in the BOLD response. Thus, it is possible that the ...

Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, You’anmenwai, Xitoutiao No.10, Beijing, P. R. China Beijing Municipal Key Laboratory of Clinical ...

Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin 300384, P. R. China Tianjin Key Laboratory of Civil Structure Protection and Reinforcement ...