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CS231n Assignment πŸ”₯

  • πŸ“š μ΄ν™”μ—¬λŒ€ λΈ”λ‘μ²΄μΈν•™νšŒ EWHA-CHAIN λ‚΄ 인곡지λŠ₯ μŠ€ν„°λ”” (2020.01-2020.02)
  • πŸƒ μŠ€ν„°λ””μ› : 성원, 샛별, 지희, νš¨μ§„
  • πŸ’« CS231n μ™„κ°• 및 Assignment ν’€κΈ°

ref : CS231n github.io Link

Assignment 1

  • β˜‘οΈ Q1 : k-Nearest Neighbor classifier
  • β˜‘οΈ Q2 : Training a Support Vector Machine
  • β˜‘οΈ Q3 : Implement a Softmax classifier
  • Q4 : two-layer NN
  • Q5 : higher level representation # Image Features

Assignment 2

  • Q1 : Fully-connected Neural Network
  • Q2 : Batch Normalization
  • Q3 : Dropout
  • Q4 : Convolutional Networks
  • Q5 : PyTorch / TensorFlow on CIFAR-10

Assignment 3

  • Q1 : Image Captioning with Vanilla RNNs
  • Q2 : Image Captioning with LSTMs
  • Q3 : Network Visualization # Saliency maps, Class Visualization, and Fooling Images
  • Q4 : Style Transfer
  • Q5 : Generative Adversarial Networks