DEVELOPMENT OF THE METHOD OF UNSUPERVISED TRAINING OF CONVOLUTIONAL NEURAL NETWORKS BASED ON NEURAL GAS MODIFICATION
Technologies for computer analysis of visual information based on convolutional neural networks have been widely used, but there is still a shortage of working algorithms for continuous unsupervised training and re-training of neural networks in real time, limiting the effectiveness of their functio...
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Format: | Article |
Language: | English |
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Scientific Route OÜ
2017-11-01
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Series: | Technology Transfer: Fundamental Principles and Innovative Technical Solutions |
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Online Access: | http://eu-jr.eu/ttfpits/article/view/469 |