CS231n: Convolutional Neural Networks for Visual Recognition

Assignments for Stanford CS231n Spring 2017

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: TensorFlow on CIFAR-10 without GPU

Assignment 3:

Q1: Image Captioning with Vanilla RNNs

Q2: Image Captioning with LSTMs

Q3: Network Visualization - tensorflow: Saliency maps, Class Visualization, and Fooling Images

Q4: Style Transfer - tensorflow

Q5: Generative Adversarial Networks - tensorflow