# golbin/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Repository: https://github.com/golbin/TensorFlow-Tutorials
Canonical: https://ross.abutalabs.com/products/golbin-tensorflow-tutorials
Language: Python
License Family: other
Topics: neural-network, tensorflow, mnist, autoencoder, rnn, deep-learning, tutorial, chatbot, seq2seq, dqn, word2vec, cnn, gan, inception
Last push: 2023-01-04T15:44:59+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": 3514, "days_push": 1337, "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 2123, forks 973 (observed 2026-08-28T04:06:16.714751+00:00)

## What it is
A step-by-step collection of TensorFlow tutorial source code covering deep learning basics through advanced models like CNN, RNN, GAN, DQN, and seq2seq, with Korean comments. It accompanies the book '골빈해커의 3분 딥러닝' and targets developers new to deep learning.

## Use cases
- learn tensorflow from scratch
- deep learning tutorial code examples
- understand cnn rnn gan basics
- practice building neural networks in tensorflow
- korean-language deep learning learning resource
- introductory examples for mnist classification and chatbots

## When to choose
- you are a beginner wanting simple, minimal TensorFlow examples
- you prefer Korean-language comments and explanations
- you want broad coverage of classic deep learning models in one repo

## When to avoid
- you need production-quality or theoretically rigorous implementations
- you use TensorFlow 2.x or PyTorch exclusively
- you need English documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, computer-vision
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python
- tags: tensorflow, tutorial, korean, neural-networks, mnist, cnn, rnn, gan, seq2seq, dqn, word2vec, autoencoder, chatbot, natural-language-processing

## Member repositories
- golbin/TensorFlow-Tutorials (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:16.714751+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 2026-08-30T02:52:50.083595+00:00, confidence not recorded.
  - readme: https://github.com/golbin/TensorFlow-Tutorials (fetched 2026-08-28T04:06:16.714751+00:00, sha 585c946d8a9d)
- Data as of 2026-08-30T08:39:29.467469+00:00.