Essays about: "Djupinlärning"

Showing result 1 - 5 of 174 essays containing the word Djupinlärning.

  1. 1. Pose Classification of Horse Behavior in Video : A deep learning approach for classifying equine poses based on 2D keypoints

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

    Author : Michaela Söderström; [2021]
    Keywords : Deep Learning; Computer Visison; Horse behavior; Pose estimation; 2D key- points; Pose classification; DeepLabCut; Djupinlärning; Datorseende; Hästbeteende; Pose-estimering; Nyckelpunkter; Intressepunkter; Pose-klassificering; DeepLabCut;

    Abstract : This thesis investigates whether Computer Vision can be a useful tool in interpreting the behaviors of monitored horses. In recent years, research in the field of Computer Vision has primarily focused on people, where pose estimation and action recognition are popular research areas. READ MORE

  2. 2. Smart Compose for Live Chat Agent

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

    Author : Tonghua Zhang; [2021]
    Keywords : Deep learning; Natural language processing; Transformer; Text generation; Auto- completion; Djupinlärning; Naturlig språkbehandling; Transformator; Textgenerering; Automatisk komplettering;

    Abstract : In the digital business environment, customer service communication has grown up to become a labor- intensive task. In consideration of high labor costs, automatic customer service could be such a good alternative for many companies. However, communication with customers can not be easily automated. READ MORE

  3. 3. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

    Author : Hanna Westermark; [2021]
    Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE

  4. 4. Enhancing Simulated Sonar Images With CycleGAN for Deep Learning in Autonomous Underwater Vehicles

    University essay from KTH/Matematisk statistik

    Author : Aron Norén; [2021]
    Keywords : Deep Learning; Machine Learning; Sonar; Simulation; GAN; cycleGAN; YOLO-v4; Data Sparsity; Uncertainty Estimations; Djupinlärning; maskininlärning; sonar; simulering; GAN; cycleGAN; YOLO-v4; gles data; osäkerhetsanalys;

    Abstract : This thesis addresses the issues of data sparsity in the sonar domain. A data pipeline is set up to generate and enhance sonar data. The possibilities and limitations of using cycleGAN as a tool to enhance simulated sonar images for the purpose of training neural networks for detection and classification is studied. READ MORE

  5. 5. Explainable Deep Learning Methods for Market Surveillance

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

    Author : Marcus Jonsson Ewerbring; [2021]
    Keywords : Deep Learning; Machine Learning; Explainable Deep Learning; XAI; Market Surveillance; Djupinlärning; Maskininlärning; Förklarbar Djupinlärning; XAI; Marknadsövervakning;

    Abstract : Deep learning methods have the ability to accurately predict and interpret what data represents. However, the decision making of a deep learning model is not comprehensible for humans. This is a problem for sectors like market surveillance which needs clarity in the decision making of the used algorithms. READ MORE