Sökning: "neutrala nätverk"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden neutrala nätverk.

  1. 1. Exploring toxic lexicon similarity methods with the DRG framework on the toxic style transfer task

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Martin Iglesias; [2023]
    Nyckelord :Detoxifcation; Text style transfer; Deep learning; Transformers; Linguistics; Natural Language Processing; Hate speech; Text style-conditional generation; Large language model; Avgiftning; Överföring av textstil; Djupinlärning; Transformatorer; Lingvistik; Naturlig språkbehandling; Hatprat; Textstil - villkorlig generering; Stor språkmodell;

    Sammanfattning : The topic of this thesis is the detoxification of language in social networks with a particular focus on style transfer techniques that combine deep learning and linguistic resources. In today’s digital landscape, social networks are rife with communication that can often be toxic, either intentionally or unintentionally. LÄS MER

  3. 2. Nyhetsaggregator med sentimentanalys

    Kandidat-uppsats,

    Författare :Claude Carlsson; Edvin Germer; [2022]
    Nyckelord :maskininlärning; nyhetsaggregator; sentimentsanalys; webbutveckling; databas; webbskrapare; psykisk ohälsa; BERT; neurala nätverk; NLP;

    Sammanfattning : Eftersom mental ohälsa stiger i samhället och forskningen inte har ett tydligt svar så har vi i detta projekt formulerat en egen hypotes om varför vi ser den här trenden. Eftersom nyhetstjänster tjänar på att publicera negativa artiklar så leder det till att fler konsumerar negativa nyheter. LÄS MER

  4. 3. Road Damage Segmentation for Mobile Hardware

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Martti Yap; [2021]
    Nyckelord :Road Damage; Deep Learning; Image Segmentation.; Vägskador; Djupinlärning; Bildsegmentering.;

    Sammanfattning : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. LÄS MER

  5. 4. Investigation of Increased Mapping Quality Generated by a Neural Network for Camera-LiDAR Sensor Fusion

    Master-uppsats, KTH/Mekatronik

    Författare :Joan Li Guisell Correa Silva; Sofia Jönsson; [2021]
    Nyckelord :sensor fusion; error detection; neural network; sources of error; mapping quality; SLAM; sensor fusion; felavkänning; neuralt nätverk; felkällor; kartläggningskvalitet; SLAM;

    Sammanfattning : This study’s aim was to investigate the mapping part of Simultaneous Localisation And Mapping (SLAM) in indoor environments containing error sources relevant to two types of sensors. The sensors used were an Intel Realsense depth camera and an RPlidar Light Detection AndRanging (LiDAR). LÄS MER

  7. 5. Analysis and Evaluation of Recurrent Neural Networks in Autonomous Vehicles

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :GABRIEL ANDERSSON SANTIAGO; MARTIN FAVRE; [2017]
    Nyckelord :;

    Sammanfattning : Once upon a time cars were driven by the pure will and sweat of decent humans. Today technology has reached the point in which complex systems can drive the car with little or no human interaction at all. Whilst it does take away the sweet Sunday drive, one has to consider the positives. LÄS MER