Assignment 1: Perceptron and Email Spam --- Spam Data
Assignment 2: Regression and Gradient Descent --- Housing Data
Assignment 3: Support Vector Machines and Principle Component Analysis--- Eigenfaces Data (the start code should be download from NYU class)
Assignment 4: Introduction to Neural networks
ps5_data.csv: 5000 x 400 matrix of image data
ps5_data-labels.csv: 5000 x 1 vector of image labels (10 = "0" label)
ps5_theta1.csv: 25 x 401 matrix for weights from input layer to hidden layer
ps5_theta2.csv: 10 x 26 matrix for weights from hidden layer to output layer
Assignment 5: Convolutional Networks
Assignment 6: Recurrent Neural Networks: Generating dinosaur names
Homework from 2017 (for reference)
Assignment: Clustering and Recommendation Systems (optional - not to be handed in)