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- W2922032197 abstract "With the development of deep learning, it has achieved impressive results in feature extraction field. This paper drives research in feature extraction based on deep learning. First, this paper gives a brief introduction on the world's research status on deep learning and principle of Restricted Boltzmann machine (RBM). Then this paper conducts reducing experiment based on RBM for handwritten digits. According to the analysis based on the results of the experiments, this paper tries to get a proper dimension which handwritten digits reduced to achieve better performance. Finally, this paper finds that it reach the goal when handwritten digits is reduced to half dimensional raw digits. This is an important foundation of deep learning layering and offers help to researchers in feature extraction based on deep learning." @default.
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- W2922032197 date "2015-11-30" @default.
- W2922032197 modified "2023-09-27" @default.
- W2922032197 title "Research on Feature Extraction based on Deep Learning" @default.
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- W2922032197 doi "https://doi.org/10.14257/ijhit.2015.8.11.09" @default.
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