# fengdu78/deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Repository: https://github.com/fengdu78/deeplearning_ai_books
Canonical: https://ross.abutalabs.com/products/deeplearning_ai_books
Language: HTML
License Family: other
Topics: deeplearning-ai
Last push: 2022-04-29T04:04:23+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": 3190, "days_push": 1587, "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 21007, forks 6147 (observed 2026-08-28T04:11:30.561988+00:00)

## What it is
Chinese-language study notes and resources for Andrew Ng's deeplearning.ai Deep Learning Specialization, covering neural networks, CNNs, RNNs, and LSTMs. The notes are organized as HTML/markdown course materials with an online reading site, maintained by Huang Haiguang and volunteer contributors.

## Use cases
- learn deep learning from Andrew Ng's course in Chinese
- find notes for the deeplearning.ai specialization
- study neural networks, CNNs and RNNs with worked notes
- prepare for the Deep Learning Specialization certificate
- get a free deep learning tutorial for beginners with Python basics

## When to choose
- you prefer studying the deeplearning.ai course in Chinese
- you want free, well-organized written notes to accompany the video lectures
- you are a Python-literate beginner entering deep learning

## When to avoid
- you need an actively updated course reflecting current LLM-era deep learning
- you need English-language materials
- you want runnable code libraries rather than study notes

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning, deep-learning
- domain: deep-learning, machine-learning, tutorials, education, artificial-intelligence
- platform: cross-platform
- tags: course-notes, andrew-ng, deeplearning-ai, chinese, neural-networks, cnn, rnn, tensorflow, web-server

## Member repositories
- fengdu78/deeplearning_ai_books (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:30.561988+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 2026-08-29T16:58:30.352789+00:00, confidence not recorded.
  - readme: https://github.com/fengdu78/deeplearning_ai_books (fetched 2026-08-28T04:11:30.561988+00:00, sha e2609f336012)
- Data as of 2026-08-30T08:39:29.467469+00:00.