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.

4. Fault Detection Model Development using AI Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks. These techniques involve the ...

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 ...

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 ...

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 ...

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The novel approach lies in applying advanced AI for network inference and analysis, particularly Meta-Interpretive Learning (MIL), a logic-based machine learning technique that offers explainable and ...

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 ...