# tensorflow/examples

TensorFlow examples

Repository: https://github.com/tensorflow/examples
Canonical: https://ross.abutalabs.com/products/tensorflow-examples-2
Homepage: https://www.tensorflow.org
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: tensorflow, tensorflow-examples
Last push: 2026-08-26T22:03:04+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 2970, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8280, forks 7306 (observed 2026-08-28T04:10:20.054837+00:00)

## What it is
The official TensorFlow examples repository containing showcase notebooks, community examples, and course materials such as the Udacity deep learning class. It supports TensorFlow.org tutorials, blog posts, and official courses with runnable Jupyter Notebook code.

## Use cases
- learn tensorflow with runnable notebooks
- find example code for deep learning models
- follow a udacity deep learning course
- get sample code from tensorflow.org tutorials
- contribute community examples to tensorflow
- run mnist classification example in colab

## When to choose
- you are learning TensorFlow and want runnable example code
- you need reference notebooks accompanying official TensorFlow courses or blog posts
- you want to contribute or browse community ML examples

## When to avoid
- you need the TensorFlow library itself rather than examples
- you want production ML pipeline tooling like TFX
- you need PyTorch or another framework's examples

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, developer-tools
- domain: machine-learning, deep-learning, tutorials, education
- platform: python, cross-platform
- tags: tensorflow, jupyter-notebooks, examples, sample-code, courses, gpu

## Member repositories
- tensorflow/examples (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:20.054837+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 2026-08-29T17:28:06.865583+00:00, confidence not recorded.
  - readme: https://github.com/tensorflow/examples (fetched 2026-08-28T04:10:20.054837+00:00, sha 8f90186d409f)
  - homepage: https://www.tensorflow.org (fetched 2026-08-29T08:28:03.728984+00:00, sha 5242f53e811a)
  - site_page: https://www.tensorflow.org/install (fetched 2026-08-29T08:28:03.738170+00:00, sha 584a762da891)
  - site_page: https://www.tensorflow.org/tfx/api_docs (fetched 2026-08-29T08:28:03.741682+00:00, sha 6977825696fe)
  - site_page: https://www.tensorflow.org/about (fetched 2026-08-29T08:28:03.745339+00:00, sha 817250744d91)
  - site_page: https://www.tensorflow.org/about/case-studies (fetched 2026-08-29T08:28:03.747441+00:00, sha e6701029eec0)
  - site_page: https://www.tensorflow.org/about/bib (fetched 2026-08-29T08:28:03.751265+00:00, sha 5ca8943386b9)
  - site_page: https://www.tensorflow.org/community/contribute (fetched 2026-08-29T08:28:03.743373+00:00, sha 77d394fa76e7)
  - site_page: https://blog.tensorflow.org/2024/02/graph-neural-networks-in-tensorflow.html (fetched 2026-08-29T08:28:03.749414+00:00, sha fd6c6556fa89)
- Data as of 2026-08-30T08:39:29.467469+00:00.