Offline and Online Deep Learning for Image Recognition
This is an incremental study aimed at researchers in image recognition, focusing on understanding and future directions rather than immediate practical impact.
The paper tackled the challenge of improving image classifiers in offline and online environments using Convolutional Neural Networks and Multi-layer Perceptron variations, with preliminary results described as encouraging.
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.