T. qizi. International Journal on Orange Technologies, 3 (12):
168-172(December 2021)
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.
%0 Journal Article
%1 noauthororeditor
%A qizi, Turayeva Makhliyo Shokir
%D 2021
%J International Journal on Orange Technologies
%K Algorithm Classification Deep Learning Perception Supervised learning
%N 12
%P 168-172
%T Deep Learning Algorithms and Their Applications
%U https://journals.researchparks.org/index.php/IJOT/article/view/2516
%V 3
%X 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.
@article{noauthororeditor,
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.
},
added-at = {2022-02-21T06:59:27.000+0100},
author = {qizi, Turayeva Makhliyo Shokir},
biburl = {https://www.bibsonomy.org/bibtex/28175dac7dac2f61b4970bc93f0de68d4/researchpark_20},
interhash = {3c7670dba5449aefe587bd14a82d34fc},
intrahash = {8175dac7dac2f61b4970bc93f0de68d4},
issn = {2615-8140},
journal = {International Journal on Orange Technologies},
keywords = {Algorithm Classification Deep Learning Perception Supervised learning},
language = {English},
month = {December},
number = 12,
pages = {168-172},
timestamp = {2022-02-21T06:59:27.000+0100},
title = {Deep Learning Algorithms and Their Applications
},
url = {https://journals.researchparks.org/index.php/IJOT/article/view/2516},
volume = 3,
year = 2021
}