CS231n

Assignment for Stanford CS231n

Assignment 1

• Q1: k-Nearest Neighbor classifier
• Q2: Training a Support Vector Machine
• Q3: Implement a Softmax classifier
• Q4: Two-Layer Neural Network
• Q5: Higher Level Representations: Image Features

Assignment 2

• Q1: Fully-connected Neural Network
• Q2: Batch Normalization
• Q3: Dropout
• Q4: Convolutional Networks
• Q5: PyTorch / TensorFlow on CIFAR-10
  • PyTorch
  • TensorFlow

Assignment 3

• Q1: Image Captioning with Vanilla RNNs
• Q2: Image Captioning with LSTMs
• Q3: Network Visualization: Saliency maps, Class Visualization, and Fooling Images
  • PyTorch
  • TensorFlow
• Q4: Style Transfer
  • PyTorch
  • TensorFlow
• Q5: Generative Adversarial Networks
  • PyTorch
  • TensorFlow