# amusi/TensorFlow-From-Zero-To-One

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

Repository: https://github.com/amusi/TensorFlow-From-Zero-To-One
Canonical: https://ross.abutalabs.com/products/tensorflow-from-zero-to-one
Language: Jupyter Notebook
License Family: other
Topics: deep-learning, machine-learning-tensorflow, machine-learning, tensorflow-tutorials, python, tensorflow
Last push: 2020-07-05T08:33:32+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": 3079, "days_push": 2250, "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 1164, forks 333 (observed 2026-08-28T04:03:49.986114+00:00)

## What it is
A curated list of TensorFlow learning resources including courses, books, blogs, video tutorials, and hands-on projects, in both English and Chinese. It serves as a roadmap for learning TensorFlow from beginner to advanced levels.

## Use cases
- find the best tensorflow tutorials for beginners
- learning tensorflow 2.0 from zero
- curated list of tensorflow books and courses
- chinese-language tensorflow learning materials
- deep learning study roadmap with tensorflow
- hands-on tensorflow example projects

## When to choose
- you want a one-stop curated index of TensorFlow learning materials
- you prefer Chinese-language tutorials and documentation
- you are starting from zero and need a structured learning path

## When to avoid
- you need an actively maintained resource list (last updated 2020)
- you use PyTorch or other frameworks instead of TensorFlow
- you need the framework itself rather than learning resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, documentation
- domain: deep-learning, machine-learning, tutorials, awesome-lists
- platform: python
- tags: tensorflow, curated-list, learning-resources, chinese

## Member repositories
- amusi/TensorFlow-From-Zero-To-One (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:49.986114+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 2026-08-30T06:29:35.711132+00:00, confidence not recorded.
  - readme: https://github.com/amusi/TensorFlow-From-Zero-To-One (fetched 2026-08-28T04:03:49.986114+00:00, sha 497420fda382)
- Data as of 2026-08-30T08:39:29.467469+00:00.