cs231n: Convolutional Neural Networks for Visual Recognition

Spring 2017 Assignments
Course Website

Assignments 1:

Homework Introduction

• Q1: k-Nearest Neighbor classifier --completed
• Q2: Training a Support Vector Machine --completed
• Q3: Implement a Softmax classifier --complete
• Q4: Two-Layer Neural Network --completed
• Q5: Higher Level Representations: Image Features --completed
• Q5: Cool Bonus: Do something extra! --not yet

Assignment 2:

Homework Introduction

• Q1: Fully-connected Neural Network --completed
• Q2: Batch Normalization --completed
• Q3: Dropout --completed
• Q4: Convolutional Networks --completed
• Q5: PyTorch / TensorFlow on CIFAR-10 -complete TensorFlow
• Q5: Do something extra! --not yet

Assignments 3:

Homework Introduction

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