Bildfilter för publikt API med hjälp av deep learning

Engström, Rebecka; Herö, Johan

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https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42419

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http://hh.diva-portal.org/smash/record.jsf?pid=diva2:1440971

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Bildfilter för publikt API med hjälp av deep learning

Engström, Rebecka

Halmstad University, School of Information Technology.

Herö, Johan

Halmstad University, School of Information Technology.

2020 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis

Place, publisher, year, edition, pages

2020.

National Category

Computer Systems

Identifiers

URN: urn:nbn:se:hh:diva-42419OAI: oai:DiVA.org:hh-42419DiVA, id: diva2:1440971

External cooperation

Jayway

Educational program

Computer Engineer, 180 credits

Supervisors

Bigun, Josef, Professor Signalanalys

Examiners

Åstrand, Björn, Universitetslektor

Available from: 2020-06-18 Created: 2020-06-15 Last updated: 2025-10-01Bibliographically approved

Open Access in DiVA

fulltext(2172 kB)

213 downloads

File information

File name FULLTEXT02.pdfFile size 2172 kBChecksum SHA-512

1ae43cd9df73e3c624b2ce72a58707e190e1402d3260c2a711e1140dd7286a26cf9a41afdcf1e0eff11b1c55bff91f2771959523f21f7bf47539530c455d3c4f

Type fulltextMimetype application/pdf

Total: 213 downloads

The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

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