Examining neural networks through architectural variation analysis for image classification
(2025)
Presentation / Conference Contribution
This paper presents a method for examining neural networks in image classification through architectural variation analysis. Small-scale experiments generate initial insights, and the configurations are further tested on entire datasets. The newly pr... Read More about Examining neural networks through architectural variation analysis for image classification.