The Effective Depth Paradox: Evaluating the Relationship between Architectural Topology and Trainability in Deep CNNs

概要

arXiv:2602.13298v3 Announce Type: replace-cross Abstract: This paper investigates the relationship between convolutional neural network (CNN) topology and image recognition performance through a comparative study of the VGG, ResNet, and GoogLeNet architectural families. Utilizing a unified experime…