My solutions to cs231n class
Answers to inline questions have been intentionally omitted.
- assignment1
- k-Nearest Neighbor classifier knn.ipynb
- Training a Support Vector Machine svm.ipynb
- Implement a Softmax classifier softmax.ipynb
- Two-Layer Neural Network two_layer_net.ipynb
- Higher Level Representations: Image Features features.ipynb
- assignment2
- Fully-connected Neural Network FullyConnectedNets.ipynb
- Batch Normalization BatchNormalization.ipynb
- Dropout Dropout.ipynb
- Convolutional Networks ConvolutionalNetworks.ipynb
- PyTorch on CIFAR-10 PyTorch.ipynb
- assignment3
- Image Captioning with Vanilla RNNs RNN_Captioning.ipynb
- Image Captioning with LSTMs LSTM_Captioning.ipynb
- Network Visualization: Saliency maps, Class Visualization, and Fooling Images NetworkVisualization-PyTorch.ipynb
- Style Transfer StyleTransfer-PyTorch.ipynb
- Generative Adversarial Networks Generative_Adversarial_Networks_PyTorch.ipynb