CS7150 — Deep Learning Notebooks

Concise, runnable notebooks for lectures.

1) Clone the repo

git clone https://github.com/<your-org-or-user>/ne_cs7150.git
cd ne_cs7150

2) Open in Google Colab

You can either:

• Open a notebook directly from GitHub (recommended):
  • In Colab: File → Open notebook → GitHub → paste repo URL → pick a notebook.
• Or upload a local notebook: File → Upload → choose any LectureXX_*.ipynb.

3) Install dependencies in Colab

If needed, upload requirements.txt to Colab (left sidebar → Files → Upload), then:

! pip install -r requirements.txt

4) Provide data if needed

Some notebooks expect local data (e.g., medical_insurance.csv). If missing, upload when prompted or use:

from google.colab import files
files.upload()  # upload into the working directory

Open any notebook, run cells top-to-bottom. Colab GPU (Runtime → Change runtime type → T4/A100) is recommended for deep models.