[2022] Prevođenje znakovnog jezika #11
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…m/pfe-rs/izvestaji into 2022-prevodjenje-znakovnog-jezika
KockaAdmiralac
changed the title
Deploying with
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| Latest commit: |
4d52668
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| Status: | ✅ Deploy successful! |
| Preview URL: | https://09aab703.pfe-izvestaji.pages.dev |
| Branch Preview URL: | https://2022-prevodjenje-znakovnog-j.pfe-izvestaji.pages.dev |
AleksaRacic
commented
Oct 16, 2022
…m/pfe-rs/izvestaji into 2022-prevodjenje-znakovnog-jezika
AleksaRacic
commented
Oct 16, 2022
AleksaRacic
commented
Oct 16, 2022
AleksaRacic
commented
Oct 17, 2022
AleksaRacic
commented
Nov 6, 2022
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| Korišćenjem EfficientNetB3 dobijen je loss od 0.44 i preciznost od 99%. | ||
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| _grafici_ |
AleksaRacic
commented
Nov 8, 2022
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| ##### Predprocesing | ||
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| Svaka slika je pre klasifikacije izmenjena na nekoliko načina. Na svakoj slici su primenjene sledeće transformacije: |
KockaAdmiralac
requested changes
Nov 20, 2022
| Za poboljšanje konvolucionih neuronskih mreža česta je praksa skaliranje po jednoj od sledeće tri dimenzije - dubina, širina i veličina slike. U [[6]](https://arxiv.org/pdf/1905.11946.pdf) predložen je state-of-the-art način skaliranja mreže, u kome se dobija balans ove tri dimenzije skalirajući svaku od njih istom konstantom. Ovako je razvijeno osam mreža EfficientNetB0 do EfficientNetB7. | ||
| Radi poklapanja rezolucije slika iz baze i ulaznih podataka mreže implementirana je EfficientNetB3 mreža. | ||
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| _arhitektura_ |
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