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    • MILAB
    • TEAM
    • RESEARCH
    • LECTURE
    • PHOTO

Machine Vision Applications

  • Project [upload]


  • TestSet

    • Blackbox [download]

    • CCTV [download]

    • Recycled [download]

    • Plate [download]

    • Action [download]

    • Face Register [download]

    • Face testset [download]

  • MVA-01_Machine Learning & Deep Learning

  • MVA-02_Basic Pytorch

  • MVA-03_Deep Learning

  • MVA-04_Convolutional Neural Network

  • MVA-05_Object Detection

  • MVA-06_Generative Adversarial Networks

  • MVA-07_DCGAN Tutorial

    • code

  • MVA-08 Evaluation Metrics

  • MVA-09 Diffusion

  • Anaconda/CUDA/cuDNN/Pytorch/vscode 설치 가이드

  • covtype.csv

  • 출판사제공

    • 예제_소스파일

    • 정오표

Machine Intelligence Lab. (MILAB) School of Artificial Intelligence AI학부 College of AI Convergence, Yong In University 용인대학교 
Office: Room 7-328 / Lab: Room 7-207, 134 Yongindaehak-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, Korea 17092https://milab.yongin.ac.kr kjlee@yongin.ac.kr (kjlee@yiu.ac.kr)
Yongin University / Yong-in University
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