Exploring probabilistic models for semi-supervised learning

<p>Deep neural networks are increasingly harnessed for computer vision tasks, thanks to their robust performance. However, their training demands large-scale labeled datasets, which are labor-intensive to prepare. Semi-supervised learning (SSL) offers a solution by learning from a mix of label...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor: Wang, J
Kolejni autorzy: Lukasiewicz, T
Format: Praca dyplomowa
Język:English
Wydane: 2023
Hasła przedmiotowe: