Sökning: "Baran Kazan"

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  1. 1. Additional Classes Effect on Model Accuracy using Transfer Learning

    M1-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Baran Kazan; [2020]
    Nyckelord :artificial intelligence; machine learning; PyTorch; transfer learning;

    Sammanfattning : This empirical research study discusses how much the model’s accuracy changes when adding a new image class by using a pre-trained model with the same labels and measuring the precision of the previous classes to observe the changes. The purpose is to determine if using transfer learning is beneficial for users that do not have enough data to train a model. LÄS MER