The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

WiMi improves the accuracy of image classification by fusing the deep learning and machine learning models, utilizing the powerful feature extraction capability of the deep learning model and the ...

The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...

It is a deep learning framework intended for image classification and segmentation. It has features like simple CPU and GPU switching, optimised model definition and configuration, computation ...

A thermal imaging system that uses machine learning to disentangle the information contained in infrared images has been unveiled by researchers at Purdue University in the US. Dubbed HADAR, the ...

Artificial intelligence (AI) and machine learning (ML) are transforming our world. When it comes to these concepts there are important differences between supervised and unsupervised learning ...