Open AccessConvolutional neural network of deep learning in computer vision and image classification problems
Author(s) -
К Е Токарев,
В. М. Зотов,
V N Khavronina,
О. В. Родионова
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/786/1/012040
Subject(s) - convolutional neural network , artificial intelligence , computer science , deep learning , residual neural network , contextual image classification , pattern recognition (psychology) , sample (material) , artificial neural network , image (mathematics) , machine learning , chemistry , chromatography
The article considers the possibilities of using the deep learning convolutional neural network ResNet in computer vision and image classification problems. The interpretation of the ResNet network and the datasets used for its training are presented, as well as a method for training a deep convolutional neural network with stochastic depth, which allows significantly reducing errors in the test sample.