# hunkim/DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

Repository: https://github.com/hunkim/DeepLearningZeroToAll
Canonical: https://ross.abutalabs.com/products/deeplearningzerotoall
Homepage: https://www.youtube.com/user/hunkims
Language: Jupyter Notebook
License Family: other
Topics: tensorflow, keras, mxnet, pytorch, python, tutorial, lab
Last push: 2023-10-31T15:04:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3481, "days_push": 1037, "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 4482, forks 2601 (observed 2026-08-28T04:08:51.156659+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: tensorflow, keras, pytorch, mxnet, jupyter-notebook, korean-language, educational-labs

## Member repositories
- hunkim/DeepLearningZeroToAll (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:51.156659+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 2026-08-29T18:20:32.378606+00:00, confidence not recorded.
  - readme: https://github.com/hunkim/DeepLearningZeroToAll (fetched 2026-08-28T04:08:51.156659+00:00, sha 4adaf439ac94)
  - homepage: https://www.youtube.com/user/hunkims (fetched 2026-08-29T09:06:46.190891+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.