Essays about: "konvolutionella neurala nätverk"
Showing result 1 - 5 of 15 essays containing the words konvolutionella neurala nätverk.
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1. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios
University essay from KTH/Hälsoinformatik och logistikAbstract : 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
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2. Representation and Efficient Computation of Sparse Matrix for Neural Networks in Customized Hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Neural Networks are widely applied to various kinds of fields nowadays. However, hundreds of thousands of neurons in each layer result in intensive memory storage requirement and a massive number of operations, making it difficult to employ deep neural networks on mobile devices where the hardware resources are limited. READ MORE
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3. Vitiligo image classification using pre-trained Convolutional Neural Network Architectures, and its economic impact on health care
University essay from KTH/Hälsoinformatik och logistikAbstract : 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
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4. NoC for Versatile Micro-Code Programmable Multi-Core Processor Targeting Convolutional Neural Networks
University essay from Linköpings universitet/DatorteknikAbstract : This thesis investigates building a network-on-chip for a multi-core chip computing convolutional neural networks (CNNs) using Imsys processors in a tree architecture. The division of work on a multi-core chip is investigated. READ MORE
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5. Using Mask R-CNN for Instance Segmentation of Eyeglass Lenses
University essay from KTH/Matematisk statistikAbstract : This thesis investigates the performance of Mask R-CNN when utilizing transfer learning on a small dataset. The aim was to instance segment eyeglass lenses as accurately as possible from self-portrait images. Five different models were trained, where the key difference was the types of eyeglasses the models were trained on. READ MORE
