rus
Issue #6/2024
O. Chuprinova
IDENTIFICATION OF ANALOG MEASURING INSTRUMENTS READINGS USING NEURAL NETWORKS
IDENTIFICATION OF ANALOG MEASURING INSTRUMENTS READINGS USING NEURAL NETWORKS
DOI: 10.22184/1992-4178.2024.237.6.98.100
The article discusses the construction of a neural network architecture for taking readings from analog instruments. The main blocks and elements used, such as convolutional
networks ResNet and Path Aggregation Network, are described. The accuracy of the resulting model was assessed on a test sample using two Loss functions.
The article discusses the construction of a neural network architecture for taking readings from analog instruments. The main blocks and elements used, such as convolutional
networks ResNet and Path Aggregation Network, are described. The accuracy of the resulting model was assessed on a test sample using two Loss functions.
Теги: accuracy of the resulting model architecture computer vision neural networks архитектура компьютерное зрение нейронные сети точность полученной модели
IDENTIFICATION OF ANALOG MEASURING INSTRUMENTS READINGS USING NEURAL NETWORKS
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