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 ...

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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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