Deep Learning Algorithms and Their Applications

Turayeva Makhliyo Shokir qizi (Master student at Tashkent university of information technologies)

IJOT
Vol. 3 No. 12 (2021): IJOT

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.