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Offline and Online Deep Learning for Image Recognition

2019-03-18
Nguyen Huu Phong, Bernardete Ribeiro

Abstract

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.

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URL

http://arxiv.org/abs/1903.07479

PDF

http://arxiv.org/pdf/1903.07479


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