Naslov
Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama
(Applying Explanatory Methods on Convolutional Neural Networks)

Autori
Luke Frederick Walker

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Fakultet Elektrotehnike i Računarstva

Mjesto
Zagreb

Datum
05.07

Godina
2022

Stranica
50

Mentor
Pintar, Damir

Ključne riječi
convolutional neural networks ; explanatory methods ; feature visualization ; network dissection ; pixel attribution

Sažetak
Convolutional neural networks are known for being capable of increadible feats in computer vision, but as a black box model they suffer from a lack of transparency. There are explanatory methods that attempt to give insights into the inference methodology of these networks. These methods are highly subjective in nature, and there is no objective, universally agreed way to measure their usefulness. These methods are described in detail, with descriptions on the progress that has been made on their improvement over time. The methods are then used and compared on various datasets, with attention given to their applicability, insightfulness, and ease of use.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA