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Обнаружение объектов на изображении с использованием сверточных нейронных сетей
Верхов, К. А.
of convolutional neural networks are considered. The layers that make up the convolutional neural network
Solving the problem of sentiment analysis using neural network models
Akhmetgaliev A., Gafarov F., Sitdikova F.
of sentiment analysis based on neural network models of natural language processing. The methods are based
Compressing a convolution neural network based on quantization
Pertsau, D., Lukashevich, M., Kupryianava, D.
. In this paper we experimentally investigate approaches to compression of convolutional neural network
Reindeer Recognition and Counting System Based on Aerial Images and Convolutional Neural Networks
Mikhailov, V., Sobolevskii, V.
Described animal recognition and counting system based on convolutional neural networks with MRCNN
Выбор архитектуры нейронной сети для задачи распознавания физической активности
Маринич, П. С., Борискевич, А. А., Marynich, P. S., Boriskevich, A. A.
архитектура работы сверточной нейронной сети. Обоснован выбор среды разработки. The optimal neural network
Human physical activity recognition algorithm based on smartphone sensor data and convolutional neural network
Wan, Z. W.
model based on a Convolutional Neural Network (CNN) and uses the collected human action signals
Extraction of Human Body Parts in Image Using Convolutional Neural Network and Attention Model
Sorokina, V., Ablameyko, S.
and attention model. The novelty of the proposed work is that algorithm is based on a convolutional neural
Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network
Miroshnichenko, A. S., Mikhelev, V. M.
of a healthy person and with the presence of COVID-19. The method is a trainable convolutional neural
Building detection on aerial images using U-NET neural networks
Ivanovsky L., Khryashchev V., Pavlov V., Ostrovskaya A.
This article presents research results of two convolutional neural networks for building detection
Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image Processing
Mustafina, IA, Ishmetov, V., Zagidullin, N, Buzaev, IV
Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image

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