DEVELOPMENT OF A SOFTWARE AND HARDWARE COMPLEX FOR PRIMARY DIAGNOSTICS BASED ON DEEP MACHINE LEARNING

This article discusses the development of a software and hardware complex for primary diagnostics based on deep machine learning. The process of deep machine learning was carried out, the ANN and SVM algorithms were used. The results of deep machine learning were compared, two variants of data sets for training were collected. Based on deep machine learning, it is planned to further develop a software and hardware complex for the primary diagnosis of gastroenterological diseases.

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