zzhangusf/stanford-cs231n-2019

Jupyter Notebook

CS231n-2019

Solutions to Stanford CS231n Spring 2019 Course assignments.

Assignment 1

k-Nearest Neighbor (kNN) solution
- Notebook, k_nearest_neighbor
Training a Support Vector Machine solution
- Notebook, linear_svm, linear_classifier
Implement a Softmax classifier solution
- Notebook, softmax
Two-Layer Neural Network solution
- Notebook, neural_net
Higher Level Representations: Image Features solution
- Notebook

Assignment 2

Fully-connected Neural Network
- Notebook, optim
Batch Normalization
- Notebook
Dropout
- Notebook, fc_net
Convolutional Networks
- Notebook, cnn, layers
PyTorch on CIFAR-10
- Notebook

Assignment 3

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