The Algorithm Research of Image Classification Based on Deep Convolutional Network

Autor:	Hu Haiyan, Wu Daqin
Rok vydání:	2018
Předmět:	Support vector machine ComputingMethodologies_PATTERNRECOGNITION Training set Contextual image classification business.industry Computer science Pattern recognition Artificial intelligence business Convolutional neural network Automation Convolution
Zdroj:	2018 International Conference on Smart Grid and Electrical Automation (ICSGEA).
DOI:	10.1109/icsgea.2018.00064
Popis:	In order to solve large amount of images classification issues, a method is introduced by combining with Convolutional Neural Network(CNN) and IMVCl-10. Based on a large number of training data, the classification accuracy of the Convolution Neural Network can exceed the SVM classification accuracy. In this dataset, 3K and 100K batch data are used to train the depth convolution network, and the classification accuracy of 70% and more than 80% can be achieved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d6820b275270cc78dbbf13f340cfdb98 https://doi.org/10.1109/icsgea.2018.00064 Zobrazit plný text záznamu