Image recognition using Deep Learning has been evolved for decades though advances in the field through different settings is still a challenge. In this paper, we present our findings in searching for better image classifiers in offline and online environments. We resort to Convolutional Neural Network and its variations of fully connected Multi-layer Perceptron. Though still preliminary, these results are encouraging and may provide a better understanding about the field and directions toward future works.
@article{arxiv.1903.07479,
title = {Offline and Online Deep Learning for Image Recognition},
author = {Nguyen Huu Phong and Bernardete Ribeiro},
journal= {arXiv preprint arXiv:1903.07479},
year = {2019}
}