lyhue1991/eat_tensorflow2_in_30_days resource
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 2391
- days_rel: n/a
- days_push: 1441
- n_releases_24m: 0
Adoption not part of the score
9918 stars · 2422 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
learning-resource · maturity maintenance
deep-learning machine-learning deep-learning machine-learning tutorials python tensorflow2 tutorial keras jupyter-notebooks chinese 30-day-course
1 source
- readme: https://github.com/lyhue1991/eat_tensorflow2_in_30_days · fetched 2026-08-28 · d01eac466550
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lyhue1991/eat_tensorflow2_in_30_days | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="lyhue1991/eat_tensorflow2_in_30_days")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem