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MIT Introduction to Deep Learning

The lab exercises and code for MIT's free introductory deep learning course.

New this week

What it does

This repository holds the hands-on lab materials and code for MIT's Introduction to Deep Learning course. Lecture slides and videos are on the course website.

The labs are designed to run in Google Colaboratory, a free notebook environment in your web browser, so there is nothing to install.

You work through the notebooks and fill in the missing pieces to get the code running.

Who it's for

Students and self-learners who want a structured, hands-on introduction to deep learning.

Can I use it without coding?

Developers only. The labs involve writing and running Python code in notebooks. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Web browser
Computer
An ordinary computer is fine
Privacy
Sends what you give it to an online service
API key
Not needed

Try it

  1. Open a lab notebook from the course page in Google Colaboratory.
  2. Work through the notebook and fill in the marked exercises.

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (MIT): Very permissive: free to use, change and share, including for business.
  • What you type or upload is sent to an online service. Avoid sharing private or sensitive information.
  • More on staying safe