Sökning: "generating training data"

Visar resultat 1 - 5 av 49 uppsatser innehållade orden generating training data.

  1. 1. Synthetic Image Generation Using GANs : Generating Class Specific Images of Bacterial Growth

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Marianne Mattila; [2021]
    Nyckelord :Synthetic image generation; synthetic data; generative model; GAN; GAN evaluation;

    Sammanfattning : Mastitis is the most common disease affecting Swedish milk cows. Automatic image classification can be useful for quickly classifying the bacteria causing this inflammation, in turn making it possible to start treatment more quickly. However, training an automatic classifier relies on the availability of data. LÄS MER

  2. 2. Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik; Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Anton Falk; Daniel Holmgren; [2021]
    Nyckelord :machine learning; statistical learning; statistics; random forest; xgboost; sarima; stacking; support vector regression; svr; linear regression; sales; sales forcasting; forecasting; time series;

    Sammanfattning : Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to gain critical insights and enhance growth. LÄS MER

  3. 3. Effects of Beam Search Algorithm on Machine Generated Music

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

    Författare :Kartik Mudaliar; [2021]
    Nyckelord :;

    Sammanfattning : In this thesis, we are trying to understand the correlation between the beam-search algorithm and plagiarism. We are training a Long Shortterm Memory (LSTM) network, on a larger data-set of music transcriptions. During sampling from the model, we are employing the beam-search algorithm to generate a specific kind of traditional Irish dance music i. LÄS MER

  4. 4. Training a Neural Network using Synthetically Generated Data

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

    Författare :Fredrik Diffner; Hovig Manjikian; [2020]
    Nyckelord :Synthetic data set; Generating synthetic data set; Machine learning; Deep Learning; Convolutional Neural Networks; Machine learning model; Character recognition in natural images; Char74k; ICDAR2003.; Syntetiskt dataset; Generera syntetiskt data; Maskininlärning; Maskininlärningsmodell; Djuplärning; Konvolutionära neurala nätverk; teckenigenkänning i bilder; Char74k; ICDAR2003;

    Sammanfattning : A major challenge in training machine learning models is the gathering and labeling of a sufficiently large training data set. A common solution is the use of synthetically generated data set to expand or replace a real data set. LÄS MER

  5. 5. GAN-Based Synthesis of Brain Tumor Segmentation Data : Augmenting a dataset by generating artificial images

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Mehdi Foroozandeh; [2020]
    Nyckelord :generative adversarial networks; deep learning; machine learning; image segmentation; image synthesis; image processing; computer vision; medical imaging; medical image segmentation; medical image processing;

    Sammanfattning : Machine learning applications within medical imaging often suffer from a lack of data, as a consequence of restrictions that hinder the free distribution of patient information. In this project, GANs (generative adversarial networks) are used to generate data synthetically, in an effort to circumvent this issue. LÄS MER