CS231n-2019
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Notes and assignment solution to http://cs231n.stanford.edu
CS231n-2019
Notes and assignment solution to http://cs231n.stanford.edu
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
Notes
- Hinge loss derivative
- Softmax loss derivative
- Computational graph 2-layer-NN
- Batchnorm computational graph
- Batchnorm alt