Stanford CS231n Convolutional Neural Networks for Visual Recognition
- 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 / TensorFlow on CIFAR-10
- Assignment #3
- Image Captioning with Vanilla RNNs
- Image Captioning with LSTMs
- Network Visualization: Saliency maps, Class Visualization, and Fooling Images
- Style Transfer
- Generative Adversarial Networks