# Neural Networks and Deep Learning (NNDL) book series

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

Repository: https://github.com/nndl/nndl
Canonical: https://ross.abutalabs.com/products/neural-networks-and-deep-learning-nndl-book-series
Homepage: https://nndl.github.io
License Family: other
Topics: attention-mechanism, chinese, deep-learning, machine-learning, neural-networks, textbook, transformer
Last push: 2026-06-01T16:59:06+00:00
Link (homepage): https://nndl.github.io

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 85, release rhythm 62, longevity 100
- inputs: {"age_days": 3648, "days_push": 93, "days_rel": 41, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 19123, forks 3681 (observed 2026-08-28T04:11:27.424014+00:00)

## What it is
The official repository for Qiu Xipeng's 'Neural Networks and Deep Learning' (Dandelion Book) series, hosting metadata and entry pages for the theory textbook (v2), a general-audience edition, and legacy v1 PDFs. It anchors a broader learning series including practice notebooks (PyTorch/Paddle) and an LLM/agents companion book at nndl.ai.

## Use cases
- learn deep learning theory from scratch in Chinese
- study neural networks from perceptrons to transformers
- find a systematic textbook covering attention mechanisms
- get runnable PyTorch notebooks accompanying a deep learning course
- download free PDFs of a classic Chinese ML textbook
- prepare for university courses on neural networks and deep learning

## When to choose
- you want a rigorous, math-grounding Chinese-language deep learning textbook
- you prefer structured learning paths with companion practice code
- you need free, openly available course material on neural networks

## When to avoid
- you need a software library or framework for building models
- you want English-language material only
- you need the latest published v2 chapters before the 2026 print release

## Facets
- artifact type: learning-resource
- maturity: active
- function: deep-learning, machine-learning, nlp
- domain: deep-learning, machine-learning, tutorials, education
- platform: cross-platform, python
- tags: textbook, chinese, neural-networks, transformer, attention-mechanism, open-textbook, qiu-xipeng, natural-language-processing

## Member repositories
- nndl/nndl (main) score 80
- nndl/nndl-practice (examples) score 92
- nndl/practice-in-paddle (mirror) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:27.424014+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 2026-08-29T17:00:29.130118+00:00, confidence not recorded.
  - readme: https://github.com/nndl/nndl (fetched 2026-08-28T04:11:27.424014+00:00, sha fdd9f60ad906)
  - homepage: https://nndl.github.io (fetched 2026-08-29T07:59:12.824825+00:00, sha b93ba502ba48)
- Data as of 2026-08-30T08:39:29.467469+00:00.