IMPROVE GOOGLENET ARCHITECTURE TO ENHANCE IMAGE CLASSIFICATION ACCURACY
19.05.2026 "Modern Science and Research" xalqaro ilmiy jurnali 1 seriyasi. Volume 5 Issue 5
Abstract. GoogLeNet (Inception v1) introduced a computationally efficient deep convolutional neural network architecture that achieved state-of-the-art performance in large-scale image classification, notably in the ImageNet Large Scale Visual Recognition Challenge
Keywords: GoogLeNet, Inception architecture, image classification
