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instillai/TensorFlow-Course resource

:satellite: Simple and ready-to-use tutorials for TensorFlow observed · 2026-08-28

github.com/instillai/TensorFlow-Course · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2892
  • days_rel: n/a
  • days_push: 1374
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

16278 stars · 3120 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

learning-resource · maturity maintenance

machine-learning deep-learning developer-tools deep-learning machine-learning tutorials artificial-intelligence python cross-platform tensorflow jupyter-notebook tutorials course education

1 source

Member repositories

RepositoryRoleHealth v2
instillai/TensorFlow-Coursemain23

For agents

markdown · JSON · MCP: product_card(name="instillai/TensorFlow-Course")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem