{"title":"使用Tensorflow机器学习平台实现卷积神经网络","authors":"Y. Tomka, M. Talakh, V. Dvorzhak, O. Ushenko","doi":"10.31649/1681-7893-2022-44-2-55-65","DOIUrl":null,"url":null,"abstract":"The generalized algorithm of a typical convolutional neural network realization by means of TensorFlow machine learning library is considered. The peculiarities of the coding implementation of the convolutional neural network in the image recognition problem are analyzed with the example of the MNIST datаset.","PeriodicalId":142101,"journal":{"name":"Optoelectronic information-power technologies","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of a convolutional neural network using Tensorflow machine learning platform\",\"authors\":\"Y. Tomka, M. Talakh, V. Dvorzhak, O. Ushenko\",\"doi\":\"10.31649/1681-7893-2022-44-2-55-65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The generalized algorithm of a typical convolutional neural network realization by means of TensorFlow machine learning library is considered. The peculiarities of the coding implementation of the convolutional neural network in the image recognition problem are analyzed with the example of the MNIST datаset.\",\"PeriodicalId\":142101,\"journal\":{\"name\":\"Optoelectronic information-power technologies\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optoelectronic information-power technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31649/1681-7893-2022-44-2-55-65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronic information-power technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31649/1681-7893-2022-44-2-55-65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of a convolutional neural network using Tensorflow machine learning platform
The generalized algorithm of a typical convolutional neural network realization by means of TensorFlow machine learning library is considered. The peculiarities of the coding implementation of the convolutional neural network in the image recognition problem are analyzed with the example of the MNIST datаset.
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