Sökning: "Athul Velagapudi"

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  1. 1. Impact of GAN methods for theHandwritten Digit Classification inHandwritten Document Images

    Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Athul Velagapudi; [2023]
    Nyckelord :Classification; Machine learning; Deep learning; GANS; Feature extrac- tion;

    Sammanfattning : Background: GANs are well-known for their ability to generate realistic fake sample data, which can be audio, images, and videos. The application areas of GANs have increased their popularity in recent years. The first and best feature of GANs is their learning nature, characterized by powerful learning. LÄS MER