Details

Ocenjevanje estetike fotografij s pomočjo strojnega učenja : diplomsko delo
ID Pogačnik, Domen (Author), ID Solina, Franc (Mentor) More about this mentor... This link opens in a new window

.pdfPDF - Presentation file, Download (7,09 MB)
MD5: 44D71F7626FACE912E9CF25A5155D762

Language:Slovenian
Keywords:fotografija, ocenjevanje estetike fotografij, avtomatično ocenjevanje, strojno učenje, računalniški vid, računalništvo, računalništvo in informatika, univerzitetni študij, diplomske naloge
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Place of publishing:Ljubljana
Publisher:D. Pogačnik
Year:2012
Number of pages:65 str.
PID:20.500.12556/RUL-157305 This link opens in a new window
UDC:004.85:77(043.2)
COBISS.SI-ID:9347412 This link opens in a new window
Publication date in RUL:26.05.2024
Views:319
Downloads:43
Metadata:XML DC-XML DC-RDF
:
POGAČNIK, Domen, 2012, Ocenjevanje estetike fotografij s pomočjo strojnega učenja : diplomsko delo [online]. Bachelor’s thesis. Ljubljana : D. Pogačnik. [Accessed 11 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=157305
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Evaluating photo aesthetics using machine learning

Similar documents

Similar works from RUL:
  1. Painting style transfer with deep neural networks
  2. Running trained deep neural networks on embedded systems
  3. Computer Speech Recognition in Slovene Language
  4. Using deep neural networks for differentiating automatically generated from manually written articles
  5. Sclera segmentation using deep neural networks
Similar works from other Slovenian collections:
  1. Deep reinforcement learning against human in playing video games
  2. Image-to-image translation through generative adversarial networks
  3. Confidence estimation in deep neural networks
  4. Zaznavanje sentimenta v novicah z globokimi nevronskimi mrežami
  5. Image style transfer using transfer learning and neural networks

Back