/CS231

http://cs231n.stanford.edu/

Primary LanguageJupyter Notebook

Computer Vision

  • assignment1:

    • k-Nearest Neighbor classifier
    • Training a Support Vector Machine
    • Implement a Softmax classifier
    • Two-Layer Neural Network
    • Higher Level Representations: Image Features

  • assignment2

    • Fully-connected Neural Network
    • Batch Normalization
    • Dropout
    • Convolutional Networks
    • PyTorch / TensorFlow on CIFAR-10

  • assignment3

    • Image Captioning with Vanilla RNNs
    • Image Captioning with LSTMs
    • Network Visualization: Saliency maps, Class Visualization, and Fooling Images
    • Style Transfer
    • Generative Adversarial Networks