Essays about: "Konvolutionellt Neuralt Nätverk"

Showing result 1 - 5 of 8 essays containing the words Konvolutionellt Neuralt Nätverk.

  1. 1. Semantic segmentation of off-road scenery on embedded hardware using transfer learning

    University essay from KTH/Mekatronik

    Author : Filip Elander; [2021]
    Keywords : Semantic Segmentation; forestry navigation; Deep Neural Network; autonomous navigation; residual neural network; Convolutional neural network; Semantisk Segmentering; Autonom Terrängnavigering; Residuala Nätverk; Konvolutionellt Neuralt Nätverk; Autonom navigering;

    Abstract : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. READ MORE

  2. 2. Deep Learning for Earth Observation: improvement of classification methods for land cover mapping : Semantic segmentation of satellite image time series

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

    Author : Benjamin Carpentier; [2021]
    Keywords : Satellite Image Time Series; Remote sensing; Land Cover Classification; Deep Learning; Convolutional Neural Network; Tidsserier av satellitbilder; Fjärranalys; Classificering; Djupinlärning; KonvolutionelltNeuralt Nätverk;

    Abstract : Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by the latest remote sensing sensors. These series of images can be highly valuable when exploited by classification systems to produce frequently updated and accurate land cover maps. READ MORE

  3. 3. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification

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

    Author : Lovisa Montelius; George Rezkalla; [2019]
    Keywords : Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context; ;

    Abstract : Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is 30%. Computer-aided medical diagnosis aims to assist doctors by giving them a second opinion, thus decreasing the error rate. READ MORE

  4. 4. A comparative study between MLP and CNN for noise reduction on images : The impact of different input dataset sizes and the impact of different types of noise on performance

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

    Author : Eric Kvist; Sandro Lockvall Rhodin; [2019]
    Keywords : ;

    Abstract : Images damaged by noise present a problem that can be addressed by performing noise-reduction using neural networks. This thesis analyses the performance of two different neural networks, a Mulilayer Perceptron (MLP) and a Convolutional Neural Network (CNN), when performing noise reduction on images. READ MORE

  5. 5. Evaluating different training techniques for a convolutional neural network that classifies Alzheimer’s disease

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

    Author : Karl Lundstig; [2019]
    Keywords : ;

    Abstract : Effective computer diagnosis of Alzheimer’s disease could bring large benefitsto the millions of people worldwide who does or will suffer from dementia. One popular method for trying to achieve this is the training of convolutional neural networks to classify MRI brain scans. READ MORE