# chiphuyen/stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Repository: https://github.com/chiphuyen/stanford-tensorflow-tutorials
Canonical: https://ross.abutalabs.com/products/stanford-tensorflow-tutorials
Homepage: http://cs20.stanford.edu
Language: Python
License: MIT
License Family: permissive
Topics: tensorflow, deep-learning, tutorial, nlp, natural-language-processing, chatbot, machine-learning, stanford, course-materials, python
Archived: true
Last push: 2020-12-22T09:21:55+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3588, "days_push": 2080, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10371, forks 4247 (observed 2026-08-28T04:10:41.828654+00:00)

## What it is
Code examples and exercises for Stanford's CS 20 course, TensorFlow for Deep Learning Research, taught by Chip Huyen. It walks learners from basic TensorFlow graphs through CNNs, RNNs, chatbots, and other NLP models.

## Use cases
- learn tensorflow for deep learning
- study stanford cs20 course materials
- find tensorflow code examples for nlp
- learn to build a chatbot in tensorflow
- understand rnn and cnn implementations in tensorflow
- get started with tensorflow 1.x tutorials

## When to choose
- you want structured, university-style course material for TensorFlow
- you are learning deep learning fundamentals with hands-on Python examples
- you need reference implementations of NLP models like chatbots and seq2seq

## When to avoid
- you use TensorFlow 2.x or Keras, since this targets TensorFlow 1.4
- you need production-ready or maintained library code
- you want PyTorch or modern framework tutorials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: tensorflow, course-materials, stanford, cs20, educational, deprecated-tensorflow-1x, natural-language-processing

## Member repositories
- chiphuyen/stanford-tensorflow-tutorials (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:41.828654+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:19:06.218913+00:00, confidence not recorded.
  - readme: https://github.com/chiphuyen/stanford-tensorflow-tutorials (fetched 2026-08-28T04:10:41.828654+00:00, sha 86a82faa1822)
  - homepage: http://cs20.stanford.edu (fetched 2026-08-29T08:18:24.923010+00:00, sha 5f412af74a26)
- Data as of 2026-08-30T08:39:29.467469+00:00.