# instillai/TensorFlow-Course

:satellite: Simple and ready-to-use tutorials for TensorFlow

Repository: https://github.com/instillai/TensorFlow-Course
Canonical: https://ross.abutalabs.com/products/tensorflow-course
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: tensorflow, python, deep-learning, deep-learning-tutorial
Last push: 2022-11-28T11:04:08+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2892, "days_push": 1374, "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 16278, forks 3120 (observed 2026-08-28T04:11:15.042113+00:00)

## What it is
A collection of simple, ready-to-use TensorFlow tutorials with source code and documentation, updated to TensorFlow 2.3. It is a Jupyter Notebook-based learning resource for deep learning with TensorFlow.

## Use cases
- learn tensorflow from scratch
- find tensorflow tutorials with runnable code
- deep learning course for beginners
- tensorflow 2 examples in jupyter notebooks
- study neural networks with tensorflow

## When to choose
- you want free, structured TensorFlow tutorials with code and docs
- you learn best from Jupyter notebooks
- you need TensorFlow 2.x examples

## When to avoid
- you need up-to-date tutorials for the latest TensorFlow versions
- you want PyTorch or other frameworks
- you need production-grade code rather than educational material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: tensorflow, jupyter-notebook, tutorials, course, education

## Member repositories
- instillai/TensorFlow-Course (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:15.042113+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 2026-08-29T17:05:09.644234+00:00, confidence not recorded.
  - readme: https://github.com/instillai/TensorFlow-Course (fetched 2026-08-28T04:11:15.042113+00:00, sha 6d2fd7389174)
- Data as of 2026-08-30T08:39:29.467469+00:00.