早在上个世纪80年代， George Cybenko 等人就发现 [3]，如果选择合理的激发函数且隐藏层的节点数足够多的话，一个三层的神经网络可以逼近任何连续函数，这一结论称为通用近似定理（Universal approximation ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain’s structure and ...

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Researchers at Concordia’s Gina Cody School of Engineering and Computer Science have developed a new approach to identifying fake news. And they say it will be able to find hidden patterns that reveal ...

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key ...

More information: Jian Ge et al, Detecting rare neutral atomic-carbon absorbers with a deep neural network, Monthly Notices of the Royal Astronomical Society (2024). DOI: 10.1093/mnras/stae799 ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed ...

Being able to noninvasively stimulate the deep brain without stimulating shallow ... Pyr neurons are disconnected from the ...