Comparison of Multilayer Neural Network Models in Terms of Success of Classifications Based on EmguCV, ML.NET and Tensorflow.Net.
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| Title: | Comparison of Multilayer Neural Network Models in Terms of Success of Classifications Based on EmguCV, ML.NET and Tensorflow.Net. |
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| Authors: | Magdin, Martin1, juraj.benc@student.ukf.skmmagdin@ukf.sk, Benc, Juraj1, Koprda, Štefan1, Balogh, Zoltán1, Tuček, Daniel1 |
| Source: | Applied Sciences (2076-3417); Apr2022, Vol. 12 Issue 8, p3730, 16p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 156503796 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app12083730 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 3730 Titles: – TitleFull: Comparison of Multilayer Neural Network Models in Terms of Success of Classifications Based on EmguCV, ML.NET and Tensorflow.Net. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Magdin, Martin – PersonEntity: Name: NameFull: Benc, Juraj – PersonEntity: Name: NameFull: Koprda, Štefan – PersonEntity: Name: NameFull: Balogh, Zoltán – PersonEntity: Name: NameFull: Tuček, Daniel IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 12 – Type: issue Value: 8 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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