Deep Learning Algorithms and Their Applications

Turayeva Makhliyo Shokir  qizi

doi:10.31149/ijot.v3i12.2516

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

DOI: https://doi.org/10.31149/ijot.v3i12.2516

Keywords: Deep Learning, Algorithm, Perception, Classification, Supervised learning, Unsupervised learning

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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