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hunkim/DeepLearningZeroToAll resource

TensorFlow Basic Tutorial Labs observed · 2026-08-28

github.com/hunkim/DeepLearningZeroToAll · homepage · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3481
  • days_rel: n/a
  • days_push: 1037
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4482 stars · 2601 forks observed · 2026-08-28

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

A collection of Jupyter Notebook lab code accompanying Korean-language TensorFlow basic tutorial videos, covering deep learning fundamentals with TensorFlow, Keras, MXNet, and PyTorch variants. It is instructional material prioritizing readability and understandability over efficiency.

Use cases

  • learn deep learning basics with tensorflow
  • follow along with korean tensorflow tutorial videos
  • compare keras vs tensorflow vs pytorch lab code
  • study beginner machine learning examples in jupyter notebooks
  • understand tensorflow 1.x core concepts

When to choose

  • you are a beginner learning deep learning fundamentals
  • you prefer Korean-language instruction
  • you want simple, readable example code over production-quality implementations

When to avoid

  • you need production-ready or up-to-date TensorFlow 2.x code
  • you require English-only documentation
  • you need a maintained library with a license for redistribution

Facets

learning-resource · maturity maintenance

machine-learning deep-learning deep-learning machine-learning tutorials python tensorflow keras pytorch mxnet jupyter-notebook korean-language educational-labs

2 sources

Member repositories

RepositoryRoleHealth v2
hunkim/DeepLearningZeroToAllmain32

For agents

markdown · JSON · MCP: product_card(name="hunkim/DeepLearningZeroToAll")

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