# dragen1860/Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Repository: https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book
Canonical: https://ross.abutalabs.com/products/deep-learning-with-tensorflow-book
Homepage: http://www.ai101edu.com
Language: Jupyter Notebook
License Family: other
Topics: tensorflow, tensorflow2, deeplearning, machinelearning, python, pytorch, book, opensource
Last push: 2021-08-30T10:54:30+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": 2635, "days_push": 1829, "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 13213, forks 4022 (observed 2026-08-28T04:11:02.556469+00:00)

## What it is
An open-source Chinese-language deep learning book ('Dragon Book') based on TensorFlow 2.0, with PDF ebook, source code, and slides. Content is provided as Jupyter Notebooks combining theory with hands-on examples.

## Use cases
- learn deep learning from scratch with TensorFlow 2
- find TensorFlow 2.0 practical code examples
- use a university textbook for a deep learning course
- study neural networks with Jupyter notebook tutorials
- get accompanying slides and PDF for self-study

## When to choose
- you want a free, theory-plus-practice introduction to deep learning using TensorFlow 2
- you prefer Chinese-language learning materials with notebooks and slides
- you are an instructor looking for ready-made course materials

## When to avoid
- you need a maintained library or up-to-date TensorFlow APIs (last release 2021)
- you prefer PyTorch or English-only materials (an English version exists separately)
- you need commercial-use rights (content is non-commercial only)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: tensorflow2, open-source-book, jupyter-notebook, chinese, textbook, pdf-ebook

## Member repositories
- dragen1860/Deep-Learning-with-TensorFlow-book (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:02.556469+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 2026-08-29T17:13:26.619999+00:00, confidence not recorded.
  - readme: https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book (fetched 2026-08-28T04:11:02.556469+00:00, sha 2908a28ed8d1)
  - homepage: http://www.ai101edu.com (fetched 2026-08-29T08:08:40.378227+00:00, sha 7594a5783d00)
- Data as of 2026-08-30T08:39:29.467469+00:00.