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qizi, Turayeva Makhliyo Shokir
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Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Journal : IJOT

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Deep Learning Algorithms and Their Applications qizi, Turayeva Makhliyo Shokir
International Journal on Orange Technologies Vol. 3 No. 12 (2021): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v3i12.2516

Abstract

The objective of this paper is to summarize a comparative account of unsupervised and supervised deep learning models and their applications. The design of a model system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples and performance evaluation.
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