In this homework, you are asked to implement and solve linear Logistic Regression model and Linear SVM model (without regularization term) on MNIST dataset. In this task, you only need to perform binary classification on digit 0 and 1. Details of these models could be found in lecture 2 slides. We provide a skeleton code for data loading and iterations of training data. You are asked to implement the rest of training in Pytorch code. You are required to optimize the model by using SGD and Momentum methods. Detailed submission requirements are written in the final section.
