# PaddlePaddle/book

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Repository: https://github.com/PaddlePaddle/book
Canonical: https://ross.abutalabs.com/products/paddlepaddle-book
Homepage: http://www.paddlepaddle.org/documentation/docs/zh/1.2/beginners_guide/quick_start/index.html
Language: Jupyter Notebook
License Family: other
Archived: true
Last push: 2021-11-12T22:03:47+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3547, "days_push": 1755, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2751, forks 1300 (observed 2026-08-28T04:07:18.045551+00:00)

## What it is
An interactive deep learning tutorial book ('Deep Learning 101') built as Jupyter Notebooks using the PaddlePaddle framework. It covers fundamentals like linear regression, digit recognition, image classification, word2vec, recommender systems, sentiment analysis, semantic role labeling, and machine translation, packaged in a Docker image for easy setup.

## Use cases
- learn deep learning basics with PaddlePaddle
- run interactive Jupyter notebook tutorials on neural networks
- understand image classification and digit recognition examples
- study NLP tasks like sentiment analysis and machine translation
- get started with the PaddlePaddle framework through hands-on chapters
- learn word2vec and recommender system concepts

## When to choose
- you want a beginner-friendly, hands-on introduction to deep learning using PaddlePaddle
- you prefer runnable Jupyter Notebook chapters with Docker-based setup
- you need bilingual (English/Chinese) deep learning educational material

## When to avoid
- you use TensorFlow, PyTorch, or another framework instead of PaddlePaddle
- you need up-to-date content — the repo has not been updated since late 2021
- you want a production tool or library rather than a learning resource
- you require a maintained project with an explicit license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, nlp, image-processing, data-visualization
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform
- tags: jupyter-notebook, paddlepaddle, tutorial, educational, chinese-documentation, natural-language-processing, docker

## Member repositories
- PaddlePaddle/book (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.045551+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 2026-08-30T08:18:55.917220+00:00, confidence not recorded.
  - readme: https://github.com/PaddlePaddle/book (fetched 2026-08-28T04:07:18.045551+00:00, sha 5e144b354d38)
- Data as of 2026-08-30T08:39:29.467469+00:00.