Essays about: "Bildklassificering"

Showing result 11 - 15 of 49 essays containing the word Bildklassificering.

  1. 11. Vitiligo image classification using pre-trained Convolutional Neural Network Architectures, and its economic impact on health care

    University essay from KTH/Hälsoinformatik och logistik

    Author : Nour Bashar; MRami Alsaid Suliman; [2022]
    Keywords : Vitiligo; deep CNN architectures; Image classification; pre-trained models; dataset; AUC; economic impact.; Vitiligo; djupa CNN-arkitekturer; bildklassificering; förtränade modeller; dataset; AUC; ekonomisk påverkan.;

    Abstract : Vitiligo is a skin disease where the pigment cells that produce melanin die or stop functioning, which causes white patches to appear on the body. Although vitiligo is not considered a serious disease, there is a risk that something is wrong with a person's immune system. READ MORE

  3. 12. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Davit Soselia; [2022]
    Keywords : Deep Learning; Continual Learning; Catastrophic Forgetting; Biomedical Image Classification; Djup inlärning; kontinuerligt lärande; katastrofal glömska; biomedicinsk bildklassificering;

    Abstract : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. READ MORE

  4. 13. Evaluating The Performance of Machine Learning on Different Devices

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Robar Zangana; [2022]
    Keywords : IoT; Machine Learning; Tensorflow; Image classification; IoT; Maskininlärning; Tensorflow; Bildklassificering;

    Abstract : IoT-enheter blir allt populärare i takt med att de blir kraftfullare och skalbara. Därför var det viktigt att undersöka prestandan hos IoT-enheter när det kommer till maskininlärning. READ MORE

  5. 14. Unsupervised Image Classification Using Domain Adaptation : Via the Second Order Statistic

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Joel Bjervig; [2022]
    Keywords : machine learning; deep learning; image classification; transfer learning; domain adaptation; unsupervised domain adaptation; covariance;

    Abstract : Framgången inom maskininlärning och djupinlärning beror till stor del på stora, annoterade dataset. Att tilldela etiketter till data är väldigt resurskrävande och kan till viss del undvikas genom att utnyttja datans statistiska egenskaper. READ MORE

  6. 15. Mapping quantized convolutional layers on the SiLago platform

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yue Zhang; [2022]
    Keywords : SiLago; algorithm mapping; quantized neural networks; convolution; SiLago; algoritmkartläggning; kvantiserade neurala nätverk; faltning;

    Abstract : Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when deployed on devices, especially embedded systems. READ MORE