Essays about: "retraining"

Showing result 6 - 10 of 40 essays containing the word retraining.

  1. 6. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip

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

    Author : Ebba Bråtman; Lucas Dow; [2023]
    Keywords : ;

    Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE

  3. 7. Unlearn with Your Contribution : A Machine Unlearning Framework in Federated Learning

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

    Author : Yixiong Wang; [2023]
    Keywords : Machine Learning; Federated Learning; Machine Unlearning; Privacy; Maskininlärning; Federerad inlärning; Maskinavlärande; Sekretess;

    Abstract : Recent years have witnessed remarkable advancements in machine learning, but with these advances come concerns about data privacy. Machine learning inherently involves learning functions from data, and this process can potentially lead to information leakage through various attacks on the learned model. READ MORE

  4. 8. Automatic object detection and tracking for eye-tracking analysis

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Liv Cederin; Ulrika Bremberg; [2023]
    Keywords : Computer Vision; Object Detection; Object Tracking; Eye-Tracking; Annotation; Deblurring; Deep Learning; Motion Blur;

    Abstract : In recent years, eye-tracking technology has gained considerable attention, facilitating analysis of gaze behavior and human visual attention. However, eye-tracking analysis often requires manual annotation on the objects being gazed upon, making quantitative data analysis a difficult and time-consuming process. READ MORE

  5. 9. Pruning a Single-Shot Detector for Faster Inference : A Comparison of Two Pruning Approaches

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

    Author : Karl Beckman; [2022]
    Keywords : Computer Vision; Object Detection; Single-Shot Detector; SSD-MobileNetV2; Iterative Pruning; Datorseende; Objektdetektering; Enstegsdetektor; SDD-MobileNet-V2; Iterativ Beskärning;

    Abstract : Modern state-of-the-art object detection models are based on convolutional neural networks and can be divided into single-shot detectors and two-stage detectors. Two-stage detectors exhibit impressive detection performance but their complex pipelines make them slow. READ MORE

  6. 10. Quality inspection of multiple product variants using neural network modules

    University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Author : Fredrik Vuoluterä; [2022]
    Keywords : quality inspection; defect detection; variants; modular neural network; convolutional neural network; case study;

    Abstract : Maintaining quality outcomes is an essential task for any manufacturing organization. Visual inspections have long been an avenue to detect defects in manufactured products, and recent advances within the field of deep learning has led to a surge of research in how technologies like convolutional neural networks can be used to perform these quality inspections automatically. READ MORE