Homework 1: Machine Learning Basics
Submission date: November 15th 24th, 2018
Topics
- Working with data in
PyTorch
- Dataset splits
- Cross validation
PyTorch
tensors and broadcasting- Linear SVM
- Optimizing loss functions with SGD
- Linear Regression with nonlinear features
Downloading
The assignment code is available here.
We recommend you use git
to clone the repo:
git clone https://github.com/vistalab-technion/cs236781-hw1.git
This will allow you to pull updates from us in the event that they are needed.
FAQ
Make sure to read the getting started page before getting started.
Q: Will this assignment require use of course servers?
A: No. This assignment does not involve very heavy or long-running
computations.