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В данной работе рассматривается применение искусственных нейронных сетей в задаче генерации рукописных текстов. Проведен обзор наиболее популярных моделей ИНС и приложений, используемых в решении задачи генерации рукописного текста. Разработана сверточная нейронная сеть для решения данной задачи. Разработанная сеть обучена с помощью технологии обучения с подкреплением. Проведен анализ применимости сети и качества сгенерированных ей изображений.
The subject of the graduate qualification work is « Handwritten text generation with artificial neural networks using the reinforcement learning technology». This paper deals the use of artificial neural networks for generating handwritten texts. I have made the review of the most ANN models and applications used in solving the problem of generating handwritten text. A convolutional neural network has been developed to solve this problem. The quality of images generated by the network was analyzed. The developed network is trained using ein-forcement learning technology. An analysis of the applicability of the network and the quality of the images generated by it is carried out.
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