Comparison of semi-supervised learning algorithms

• المؤلف الرئيسي: Teo, Sheng Huai
• مؤلفون آخرون: Li Boyang
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2023
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172003

In this report, we conducted image classification experiments in a semi-supervised setting using three datasets of various sizes and content, CIFAR10, CIFAR100 and EuroSAT, with only 1000 samples labelled and the remaining as unlabelled for training. The performance and training duration of three SS...