Essays about: "faltningsnätverk"

Showing result 11 - 15 of 77 essays containing the word faltningsnätverk.

  1. 11. 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

  3. 12. A study of the biological sex in the classification of Alzheimer’s disease using a convolutional neural network

    University essay from KTH/Datavetenskap

    Author : Emilia Rieschel; Emm Nilsson; [2022]
    Keywords : ;

    Abstract : This report investigates whether Alzheimer’s MRI scans could be classified more accurately using deep learning if the biological sex was considered. The data used in the study were female and male Alzheimer’s Disease (AD) and Cognitive Normal (CN) MRI scans. The data was divided into a training and test set. READ MORE

  4. 13. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks

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

    Author : Jacob Stuart; [2022]
    Keywords : ;

    Abstract : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. READ MORE

  5. 14. The Impact of Noise on Generative and Discriminative Image Classifiers

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

    Author : Maximilian Stenlund; Valdemar Jakobsson; [2022]
    Keywords : Artificial intelligence; Adversarial noise; Discriminative; Generative; Salt and Pepper noise; Gaussian noise; neural networks; Normalized flows; Convolutional networks;

    Abstract : This report analyzes the difference between discriminative and generative image classifiers when tested on noise. The generative classifier was a maximum-likelihood based classifier using a normalizing flow as the generative model. In this work, a coupling flow such as RealNVP was used. READ MORE

  6. 15. Identifying Melanoma Using Transfer Learning and Convolutional Neural Networks : An investigation of skin disease pre-training

    University essay from KTH/Datavetenskap

    Author : Albin Wikström Kempe; Elin Inoue; [2022]
    Keywords : ;

    Abstract : Melanoma, the deadliest form of skin cancer, has become an increasingly common and pressing health issue. Early detection and treatment can be life-saving, but also poses a challenge. A possible solution presents itself in Convolutional Neural Networks (CNNs). READ MORE