# caicloud/tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

Repository: https://github.com/caicloud/tensorflow-tutorial
Canonical: https://ross.abutalabs.com/products/caicloud-tensorflow-tutorial
Language: Jupyter Notebook
License Family: other
Topics: clever
Last push: 2019-08-13T09:09:29+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3521, "days_push": 2577, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2918, forks 2027 (observed 2026-08-28T04:07:30.069453+00:00)

## What it is
A collection of example TensorFlow code and tutorials, originally paired with Caicloud's TensorFlow-as-a-Service development environment. It serves as a hands-on learning resource for deep learning with TensorFlow.

## Use cases
- learn tensorflow basics with example code
- tensorflow tutorial notebooks for beginners
- deep learning code examples in jupyter
- get started with tensorflow on caicloud
- practice building neural networks with tensorflow

## When to choose
- you want runnable TensorFlow example code to learn from
- you are following a TensorFlow course and need sample notebooks
- you use Caicloud's TensorFlow as a Service environment

## When to avoid
- you need up-to-date TensorFlow 2.x or Keras examples
- you need maintained, supported code for production
- you require a project with an explicit license

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning, tutorials
- platform: python, cross-platform
- tags: tensorflow, tutorial, jupyter-notebook, deep-learning-examples, caicloud

## Member repositories
- caicloud/tensorflow-tutorial (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.069453+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 2026-08-30T07:34:03.343517+00:00, confidence not recorded.
  - readme: https://github.com/caicloud/tensorflow-tutorial (fetched 2026-08-28T04:07:30.069453+00:00, sha 65d515042d91)
- Data as of 2026-08-30T08:39:29.467469+00:00.