What it does
This is the material for a Washington University in St. Louis course on deep learning, the kind of AI built from layered neural networks.
It starts with Python basics and moves through building neural networks for tables of data, images, text and more. The full textbook is included.
The README notes this is the older Keras and TensorFlow version, and current students should use the newer PyTorch version.
Who it's for
Students and self-learners who know some programming and want to learn deep learning.
Can I use it without coding?
Developers only. You can read the material freely, but the exercises involve writing Python code. 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
- API key
- Not needed
Try it
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.
- No standard license listed. Check the GitHub page before using it for business.
- More on staying safe
Where people are talking about it
- Meteorite Self-test check-listHacker News · Mar 2024
- Applications of Deep Neural NetworksResearch paper · Sept 2020