Tutorial 1: Supervised Learning
Topics: Supervised learning framework, binary and multiclass logistic regression, pytorch and autograd basics.
Material
The tutorial notebook can be viewed here.
To run it yourself we recommend cloning the course tutorials repo.
If you have previously cloned the repo, run
git pull
conda env update -f environment.yml
conda activate cs236781
jupyter lab
to update your environment and run jupyter.