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Assignment 1

  1. k-Nearest Neighbor: notebook, source.
  2. Support Vector Machine: notebook, source.
  3. Softmax classifier: notebook, source.
  4. Two-Layer Neural Network: notebook, source.
  5. Image Features: notebook.

Assignment 2

  1. Fully-connected Neural Network: notebook, source.
  2. Batch Normalization: notebook.
  3. Dropout: notebook.
  4. Convolutional Networks: notebook, source.
  5. PyTorch: notebook.

Assignment 3

  1. Image Captioning with Vanilla RNNs: notebook, source.
  2. Image Captioning with LSTMs: notebook, source.
  3. Saliency maps, Class Visualization, and Fooling Images: notebook.
  4. Style Transfer: notebook.
  5. Generative Adversarial Networks: notebook.