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Deep Learning Algorithms and Their Applications

. 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.

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