What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Recently, SITEC (301568) responded to investor inquiries on March 18, revealing the application of its core products, 3D SPI (Solder Paste Inspection) and 3D AOI (Automated Optical Inspection), in ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep learning to transform wastewater treatment processes.

Original invoice images often suffer from issues such as uneven lighting, skewing, creasing, and background interference. The system first uses techniques like image filtering, binarization, and ...