# czy36mengfei/tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Repository: https://github.com/czy36mengfei/tensorflow2_tutorials_chinese
Canonical: https://ross.abutalabs.com/products/tensorflow2_tutorials_chinese
Language: Jupyter Notebook
License Family: other
Last push: 2020-12-09T04:20:57+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": 2734, "days_push": 2093, "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 7777, forks 2004 (observed 2026-08-28T04:10:04.936232+00:00)

## What it is
A collection of Chinese-language Jupyter Notebook tutorials for TensorFlow 2.0, adapted from official TensorFlow tutorials with Keras-based examples. It covers Keras basics, image and text classification, CNNs, RNNs, autoencoders, and GANs.

## Use cases
- learn tensorflow 2.0 in chinese
- tensorflow 2 keras beginner tutorial
- jupyter notebook examples for deep learning with tensorflow
- image classification tutorial tensorflow2
- text classification with keras and tensorflow
- learn CNN LSTM autoencoder DCGAN in tensorflow 2

## When to choose
- you prefer Chinese-language explanations of TensorFlow 2.0
- you want runnable Jupyter Notebook examples covering Keras, CNNs, RNNs, and GANs
- you are a beginner following the TensorFlow 2.0 official tutorials with extra notes

## When to avoid
- you need up-to-date material for recent TensorFlow versions (repo targets TF 2.0 and last updated 2020)
- you need English-language tutorials
- you need a maintained library or production code rather than learning notes

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, nlp, computer-vision
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform
- tags: tensorflow2, chinese, jupyter-notebook, keras, tutorials, deep-learning, natural-language-processing

## Member repositories
- czy36mengfei/tensorflow2_tutorials_chinese (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:04.936232+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 2026-08-29T17:34:55.157193+00:00, confidence not recorded.
  - readme: https://github.com/czy36mengfei/tensorflow2_tutorials_chinese (fetched 2026-08-28T04:10:04.936232+00:00, sha e7b97ab1d49c)
- Data as of 2026-08-30T08:39:29.467469+00:00.