Tutorial 1: Supervised Learning

1 minute read

Topics: Supervised learning framework, binary and multiclass logistic regression, pytorch and autograd basics.


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.

Moshe’s Tutorial (requires Technion account)

(video link)

Tamir’s Tutorial (requires Technion account)

(video link)

English from last semester