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