CS231n: Convolutional Neural Networks for Visual Recognition

Spring 2017

Course Website: http://cs231n.stanford.edu/

Assignment 1

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

Assignment 2

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

Assignment 3

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