Stanford deep learning coursework, fossilized in TF 1.4
Code examples for Stanford's deep learning course, pinned to Python 3.6 and TensorFlow 1.4.1.

What it does
This repo holds the Python code examples for Stanford’s CS 20: TensorFlow for Deep Learning Research. It is designed to accompany the lectures and syllabus at cs20.stanford.edu, with prior-year material from 2017 archived in its own folder.
The interesting bit
The entire course is locked to python3.6 and TensorFlow 1.4.1. That version pinning, combined with a dedicated 2017 archive folder, places the examples firmly in an earlier era of the framework—less of a starter kit and more of an archaeological site.
Key highlights
- Course code for Stanford CS 20 with over 10,000 stars
- Tagged topics include NLP, chatbots, and machine-learning tutorials
- Archives the complete 2017 curriculum in a dedicated folder
- MIT licensed
Caveats
- Targets
python3.6andTensorFlow 1.4.1exactly as named in the README - The README promises updates “as the class progresses,” but does not specify which academic year the current branch represents
Verdict Worth browsing if you are following the archived CS 20 lectures or studying how TensorFlow was taught when version 1.4 was current. Everyone else should probably find courseware that matches their current TensorFlow installation.
Frequently asked
- What is chiphuyen/stanford-tensorflow-tutorials?
- Code examples for Stanford's deep learning course, pinned to Python 3.6 and TensorFlow 1.4.1.
- Is stanford-tensorflow-tutorials open source?
- Yes — chiphuyen/stanford-tensorflow-tutorials is open source, released under the MIT license.
- What language is stanford-tensorflow-tutorials written in?
- chiphuyen/stanford-tensorflow-tutorials is primarily written in Python.
- How popular is stanford-tensorflow-tutorials?
- chiphuyen/stanford-tensorflow-tutorials has 10.4k stars on GitHub.
- Where can I find stanford-tensorflow-tutorials?
- chiphuyen/stanford-tensorflow-tutorials is on GitHub at https://github.com/chiphuyen/stanford-tensorflow-tutorials.