# lyhue1991/eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Repository: https://github.com/lyhue1991/eat_tensorflow2_in_30_days
Canonical: https://ross.abutalabs.com/products/eat_tensorflow2_in_30_days
Language: Python
License: Apache-2.0
License Family: permissive
Topics: tensorflow2, tensorflow, tensorflow-examples, tensorflow-tutorial
Last push: 2022-09-22T03:18:54+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": 2391, "days_push": 1441, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9918, forks 2422 (observed 2026-08-28T04:10:38.805529+00:00)

## What it is
A 30-day tutorial book for learning TensorFlow 2, presented as Jupyter notebooks with runnable examples, available in English and Chinese. It covers tf.keras and practical deep learning modeling for engineers and students.

## Use cases
- learn tensorflow 2 from scratch
- 30 day tensorflow tutorial
- tf.keras examples with notebooks
- deep learning tutorial in chinese
- practical tensorflow2 course for engineers
- compare tensorflow2 vs pytorch for learning

## When to choose
- you want a structured, example-driven path to learn TensorFlow 2
- you prefer runnable Jupyter notebooks over docs
- you need Chinese-language deep learning material

## When to avoid
- you need up-to-date coverage of the latest TensorFlow releases
- you are researching cutting-edge models better served by PyTorch
- you want a reference manual rather than a guided course

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: tensorflow2, tutorial, keras, jupyter-notebooks, chinese, 30-day-course

## Member repositories
- lyhue1991/eat_tensorflow2_in_30_days (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:38.805529+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 2026-08-29T17:20:18.881700+00:00, confidence not recorded.
  - readme: https://github.com/lyhue1991/eat_tensorflow2_in_30_days (fetched 2026-08-28T04:10:38.805529+00:00, sha d01eac466550)
- Data as of 2026-08-30T08:39:29.467469+00:00.