The Effective Depth Paradox: Topology and Trainability in Deep CNNs.

arXiv:2602.13298v4 Announce Type: replace-cross Abstract: This paper presents a controlled comparative study of convolutional neural network (CNN) topology and image classification performance across the architectural families VGG, ResNet, and GoogLeNet, evalu