СИСТЕМИ ДІАГНОСТКИ ЕЛЕКТРОКАРДІОГРАМ ЗА ДОПОГОЮ ГЛИБИННИХ НЕЙРОННИХ МЕРЕЖ
International Journal InternaukaCilt 2016/6, Sayı 6
This paper explores the possibility of using deep neural networks to diagnose electrocardiograms.
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АЛГОРИТМЫ МАШИННОГО ОБУЧЕНИЯ (МО) И ГЛУБОКОГО ОБУЧЕНИЯ (ГО) И ИХ ПРИМЕНЕНИЕ В ПРИКЛАДНЫХ ПРИЛОЖЕНИЯХ
International Journal InternaukaCilt 2018/11, Sayı 11
In this article the authors make the current review of machine learning algorithms in order to explain the principles on which they work and show examples of decisions based on them. The article will be considered: the main semantic of …
ИСПОЛЬЗОВАНИЕ СВЕРТОЧНЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ЗАДАЧИ КЛАССИФИКАЦИИ ТЕКСТОВ
International Journal InternaukaCilt 2018/14, Sayı 14
Convolutional neural networks are a powerful tool of machine learning, which is aimed at efficient recognition and classification of images. The success of using convolutional neural networks for images has given rise to many attempts to use this tool in …
DEEP LEARNING ALGORITHMS FOR CLASSIFICATION OF SKIN DISEASES
International Journal InternaukaCilt 2018/9, Sayı 9
Skin diseases today are among the most common medical problems. The amount of these diseases is constantly growing, despite the development of medicine. Skin cancer is a common malignant neoplasm and has the second rank in the structure of cancer …
ОРГАНИЗАЦИЯ МНОГОЭТАПНОГО МЕТОДА ОБУЧЕНИЯ СВЕРТОЧНОЙ НЕЙРОННОЙ СЕТИ
International Journal InternaukaCilt 2018/6, Sayı 6
This paper describes methods and algorithms for training neural networks. Also, the organization of multi-stage training of the neural network, based on adaptive and genetic methods, which has been successfully applied to the convergent neural network to solve the problem …