Essays about: "konvolutionella neurala nätverk"

Showing result 11 - 15 of 41 essays containing the words konvolutionella neurala nätverk.

1. 11. Uncertainty Estimation in Volumetric Image Segmentation

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

   Author : Donggyun Park; [2023]
   Keywords : Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

   Abstract : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. READ MORE

3. 12. Introducing Machine Learning in a Vectorized Digital Signal Processor

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

   Author : Linnéa Ridderström; [2023]
   Keywords : Digital Signal Processor DSP ; Application-Specific Integrated Circuit ASIC ; Machine Learning; Deep Learning; Convolutional Neural Network CNN ; Very Long Instruction Word VLIM ; Single Instruction Multiple Data SIMD ; Digital Signalprocessor DSP ; Applikation-Specifik Integrerad Krets ASIC ; Maskininlärning; Djupinlärning; Konvolutionella Neurala Nätverk CNN ; Very Long Instruction Word VLIW ; Single Instruction Multiple Data SIMD ;

   Abstract : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. READ MORE

4. 13. Deep Learning Models for Detecting Breast Cancer : A Comparative Study

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

   Author : Charlotta Johnsson; Alva Välimäki; [2023]
   Keywords : ;

   Abstract : Breast cancer is the second leading cause of death for women worldwide. As early detection is vital, new methods for facilitating accurate diagnosis are continuously being developed. READ MORE

5. 14. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios

   University essay from KTH/Hälsoinformatik och logistik

   Author : Tariq Daoud; Emanuel Zere Goitom; [2022]
   Keywords : Computer vision; deep learning; machine learning; artificial neural networks; convolutional neural networks; YOLOv4; Datorseende; djupinlärning; maskininlärning; artificiella neurala nätverk; konvolutionella neurala nätverk; YOLOv4;

   Abstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE

6. 15. Polar Codes for Biometric Identification Systems

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

   Author : Yicheng Bao; [2022]
   Keywords : Biometrics; Polar codes; Identification systems; Convolutional neural networks; Autoencoder; Privacy preservation; Biometri; Polära koder; Identifieringssystem; Konvolutionella neurala nätverk; Autoencoder; Sekretessskydd;

   Abstract : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. READ MORE