Artificial neural networks (ANNs) show a notable pattern when trained on natural data, regardless of the exact initialization, data set, ...
How thinking machines implement one of the most important functions of cognitionIt has long been said that neural networks are ...
Deep learning is crucial in the current era as it drives advances in artificial intelligence, enabling applications such as image ...
Vision transformers (ViT) and convolutional neural networks (CNN) have become key players in image processing in the competitive landscape of ...
The research area of this study is artificial intelligence (ai) and machine learning, specifically focusing on neural networks that can ...
Neurosymbolic artificial intelligence (ai) represents an exciting frontier in this field. It combines the robustness ...
Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. This ...
When using popular backpropagation as the default learning method, training deep neural networks (which can include hundreds of layers) can ...
To ground our investigation into quantization, it is important to reflect on exactly what we mean by “quantizing” numbers. So ...
It's a long from pedal bicycles to Formula 1. But that is precisely the quantum leap that the artificial intelligence-based ...
