Essays about: "capsule networks"
Found 5 essays containing the words capsule networks.
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1. Towards Understanding Capsule Networks
University essay from Linköpings universitet/DatorseendeAbstract : In this thesis capsule networks are investigated, both theoretically and empirically. The properties of the dynamic routing [42] algorithm proposed for capsule networks, as well as a routing algorithm in a follow-up paper by Wang et al. [50] are thoroughly investigated. READ MORE
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2. A Comparative Study of Routing Methods in Capsule Networks
University essay from Linköpings universitet/DatorseendeAbstract : Recently, the deep neural network structure caps-net was proposed by Sabouret al. [11]. Capsule networks are designed to learn relative geometry betweenthe features of a layer and the features of the next layer. The Capsule network’smain building blocks are capsules, which are represented by vectors. READ MORE
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3. CapsNet Comprehension of Objects in Different Rotational Views : A comparative study of capsule and convolutional networks
University essay from KTH/Programvaruteknik och datorsystem, SCSAbstract : Capsule network (CapsNet) is a new and promising approach to computer vision. In the small amount of research published so far, it has shown to be good at generalizing complex objects and perform well even when the images are skewed or the objects are seen from unfamiliar viewpoints. READ MORE
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4. An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
University essay from Lunds universitet/Matematik LTHAbstract : This project has investigated the performances of Capsule Networks in comparison to Convolutional Neural Networks (CNNs) on white blood cell image classification at CellaVision. The Capsule Network models that were investigated are EM Routing Capsule Networks (EMCNs) and Dynamic Routing Capsule Networks (DCNs). READ MORE
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5. Application of convolutional neural networks for fingerprint recognition
University essay from Lunds universitet/Matematik LTHAbstract : Fingerprint recognition is a well-known problem in pattern recognition and widely used in contemporary authentication technology such as access devices in mobile phones. The subject of this thesis is to investigate the applicability of convolutional neural networks for fingerprint recognition. READ MORE