# bighuang624/Andrew-Ng-Deep-Learning-notes

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Repository: https://github.com/bighuang624/Andrew-Ng-Deep-Learning-notes
Canonical: https://ross.abutalabs.com/products/andrew-ng-deep-learning-notes
Homepage: https://kyonhuang.top/Andrew-Ng-Deep-Learning-notes/
Language: Jupyter Notebook
License Family: other
Topics: deep-learning, neural-network, andrew-ng-course, andrew-ng, coursera
Last push: 2022-01-19T09:31:23+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3193, "days_push": 1687, "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 1042, forks 319 (observed 2026-08-28T04:03:20.775492+00:00)

## What it is
Chinese-language notes and Jupyter Notebook assignment solutions for Andrew Ng's Deep Learning Specialization (deeplearning.ai) on Coursera. The notes are published as a docsify-generated documentation website, with exercise code organized in an assignments folder.

## Use cases
- study Andrew Ng's deep learning course in Chinese
- find solutions for deeplearning.ai course assignments
- review neural network course concepts with notes
- supplement Coursera deep learning specialization learning
- learn deep learning fundamentals with worked Jupyter notebooks

## When to choose
- you are a Chinese speaker taking or reviewing Andrew Ng's Deep Learning Specialization
- you want reference notes plus completed assignment code side by side
- you prefer reading notes on a docsify website with LaTeX rendering

## When to avoid
- you need a maintained deep learning library or production code
- you require a permissive license for reuse (content is CC BY-NC-SA 3.0)
- you want comprehensive English-language course materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, documentation
- domain: deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: course-notes, chinese-language, jupyter-notebooks, coursera, neural-networks, study-guide

## Member repositories
- bighuang624/Andrew-Ng-Deep-Learning-notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:20.775492+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 2026-08-30T07:02:36.305470+00:00, confidence not recorded.
  - readme: https://github.com/bighuang624/Andrew-Ng-Deep-Learning-notes (fetched 2026-08-28T04:03:20.775492+00:00, sha 2515cb430e0e)
  - homepage: https://kyonhuang.top/Andrew-Ng-Deep-Learning-notes/ (fetched 2026-08-29T13:04:00.725528+00:00, sha a2eee6a472f8)
- Data as of 2026-08-30T08:39:29.467469+00:00.