/CS231n_practice

CS231n에서 소개된 개념에 대한 코딩 및 정리

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CS231n_practice

@ using only numpy & pandas module

  • NN/KNN implementation complete
  • Linear classifier implemented but require little error

@ using pytorch module

  • AlexNet implementation - "ImageNet Classification with Deep Convolutional Neural Networks"
  • VggNet implementation - "Very Deep Convolutional Networks For Large Scale Image Recognition"
  • GoogLeNet implementation - "Going deeper with convolutions"
  • ResNet implementation - "Deep Residual Learning for Image Recognition"

@ GAN/OBJECT DETECTION

  • I studied some concepts for GAN and Object detection such as GAN and DCGAN or bounding box and seletive search.
  • I followed well explained written materials mainly blog and github, they are referenced in each file.
  • Also, added some comments to their codes

@ Style GAN

divide and conquer

    1. Neural Style (style transfer) (conquered)
    1. StyleGAN (conqured)
    1. Latent Space Exploration

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