Comparative Study of Various Convolutional Neural Networks on Cifar-10

Tushar Goyal
2020 International journal of modern trends in science and technology  
Image recognition plays a foundational role in the field of computer vision and there has been extensive research to develop state-of-the-art techniques especially using Convolutional Neural Network (CNN). This paper aims to study some CNNs, heavily inspired by highly popular state-of-the-art CNNs, designed from scratch specifically for the Cifar-10 dataset and present a fair comparison between them.
doi:10.46501/ijmtst061276 fatcat:4wfbb2kjonglhn7aqt4tucjbmi