Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.

Convolutional Neural Networks (CNNs) have revolutionized performances in several machine learning tasks such as image classification, object tracking, and keyword spotting. However, given that they ...

1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, China 2 ...

After images of MICA air-to-air missiles and M88 engines, an image now clearly shows the vertical tail of a Rafale EH. After much speculation about fighter jet losses, an image has now emerged online ...

Abstract: This study implemented an image classification CNN using a multi-thread GPU. For the CNN, the CIFAR10 dataset was used, and the multi-thread GPU had 256 threads. Using the 256 threads ...