The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

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 high-performance model is deployed on the Xilinx® Zynq® UltraScale+™ MPSoC device based ZCU104 and leverages the Xilinx deep learning processor unit (DPU), a soft-IP tensor accelerator ...

We will learn how to classify text using deep learning and without writing code. We will practice by building a classification model trained in news articles from the BBC.

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...