Sökning: "TensorFlow.js"

Hittade 4 uppsatser innehållade ordet TensorFlow.js.

  1. 1. Deep Learning in the Web Browser for Wind Speed Forecasting using TensorFlow.js

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

    Författare :Sara Moazez Gharebagh; [2023]
    Nyckelord :TensorFlow.js; JavaScript; Artificial Neural Networks; Deep Learning; Recurrent Neural Networks; Long Short-Term Memory; GatedRecurrent Units; TensorFlow.js; JavaScript; Artificiella Neurala Nätverk; Djupinlärning; Recurrent Neural Networks; Long Short-Term Memory; GatedRecurrent Units;

    Sammanfattning : Deep Learning is a powerful and rapidly advancing technology that has shown promising results within the field of weather forecasting. Implementing and using deep learning models can however be challenging due to their complexity. LÄS MER

  3. 2. Machine learning assisted decision support system for image analysis of OCT

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Elias Yacoub; [2022]
    Nyckelord :OCT; Optical Coherence Tomography; Sahlgrenska Hospital; Sahlgrenska University Hospital; VGG16; InceptionResNet50V2; ResNet50V2; Choroidal Neovascularization; CNV; Diabetic Macular Edema; DME; drusen; Elias Yacoub; Elias; Yacoub;

    Sammanfattning : Optical Coherence Tomography (OCT) has been around for more than 30 years and is still being continuously improved. The department of ophthalmology is a part of Sahlgrenska Hospital that heavily uses OCT for helping people with the treatment of eye diseases. LÄS MER

  4. 3. Tuning into uncertainty : A material exploration of object detection through play

    Kandidat-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Julija Rukanskaitė; [2021]
    Nyckelord :machine learning; uncertainty; object detection; human-AI interaction; ludic design; AI as play; queering; more-than-human design;

    Sammanfattning : The ubiquitous yet opaque logic of machine learning complicates both the design process and end-use. Because of this, much of Interaction Design and HCI now focus on making this logic transparent through human-like explanations and tight control while disregarding other, non-normative human-AI interactions as technical failures. LÄS MER

  5. 4. The crucial parts of text classification with TensorFlow.js and categorisation of news articles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Gustav Nordberg; Jesper Grandien; [2020]
    Nyckelord :TensorFlow.js; Machine learning; Text classification; JavaScript;

    Sammanfattning : Text classification is a subset of machine learning which is used to classify texts such as tweets, email, news headlines or articles, with tags or categories. As news publishing can have uncertainty in their categorisations, text classification could categorise articles autonomously and distinguish unclear categorisations. LÄS MER