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Обнаружение объектов на изображении с использованием сверточных нейронных сетей 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 of sentiment analysis based on neural network models of natural language processing. The methods are based

Compressing a convolution neural network based on quantization. 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 NetworksDescribed animal recognition and counting system based on convolutional neural networks with MRCNN

Выбор архитектуры нейронной сети для задачи распознавания физической активности 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 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 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 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 networksThis article presents research results of two convolutional neural networks for building detection

Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image ProcessingMultilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image

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