  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.
