Sökning: "Resnet"

Visar resultat 1 - 5 av 52 uppsatser innehållade ordet Resnet.

  1. 1. Deep Ring Artifact Reduction in Photon-Counting CT

    Master-uppsats, KTH/Fysik

    Författare :Konstantinos Liappis; [2022]
    Nyckelord :Photon¬counting; Spectral CT; Material Decomposition; Deep learning; Resnet; Ring artifact; Sinogram; Fotonräknande; Spektral datortomografi; Materialdekomposition; Djupinlärning; Resnet; Ringartefakt; Sinogram;

    Sammanfattning : Ring artifacts are a common problem with the use of photon-counting detectors and commercial deployment rests on being able to compensate for them. Deep learning has been proposed as a candidate for tackling the inefficiency or high cost of traditional techniques. LÄS MER

  2. 2. Mapping DNNs onto the NoC Platform

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

    Författare :Hanbo Xu; [2022]
    Nyckelord :;

    Sammanfattning : This thesis uses an existing NoC simulation platform to construct a Network on Chip-based many-core system. The network is an 8_8 mesh topology. This thesis chooses LeNet5, ResNet, VGGNet, and AlexNet as the computing load, and tries to obtain a deep neural network mapping algorithm based on a NoC design method that can be widely used. LÄS MER

  3. 3. Structural Comparison of Data Representations Obtained from Deep Learning Models

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

    Författare :Tommy Wallin; [2022]
    Nyckelord :Representation Learning; Deep learning models; Image Representations.; Representationsinlärning; Djupinlärningsmodeller; Bildrepresentationer;

    Sammanfattning : In representation learning we are interested in how data is represented by different models. Representations from different models are often compared by training a new model on a downstream task using the representations and testing their performance. LÄS MER

  4. 4. Estimating the risk of insurance fraud based on tonal analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Henrik Steneld; [2022]
    Nyckelord :Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Sammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER

  5. 5. Artificial data for Image classification in industrial applications


    Författare :Yonan Yonan; August Baaz; [2022]
    Nyckelord :Synthetic data; artificial data; object detection; image classification; artificial intelligence; machine learning; neural networks; convolutional neural networks; ResNet; ResNet50;

    Sammanfattning : Machine learning and AI are growing rapidly and they are being implemented more often than before due to their high accuracy and performance. One of the biggest challenges to machine learning is data collection. The training data is the most important part of any machine learning project since it determines how the trained model will behave. LÄS MER