# scutan90/DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。   未完待续............ 如有意合作，联系scutjy2015@163.com                     版权所有，违权必究       Tan 2018.06

Repository: https://github.com/scutan90/DeepLearning-500-questions
Canonical: https://ross.abutalabs.com/products/deeplearning-500-questions
Homepage: https://github.com/scutan90/DeepLearning-500-questions
Language: JavaScript
License: GPL-3.0
License Family: copyleft
Last push: 2024-06-26T12:10:14+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": 2989, "days_push": 798, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 57575, forks 15873 (observed 2026-08-28T04:12:18.555926+00:00)

## What it is
An open-source Chinese-language book, 'Deep Learning 500 Questions', covering probability, linear algebra, machine learning, deep learning, and computer vision in a Q&A format across 18 chapters and over 500,000 words. It was later published in print as an AI engineer interview guide and is served as a browsable docsify site.

## Use cases
- prepare for AI and deep learning engineer interviews
- review math foundations like linear algebra and probability for machine learning
- learn CNN, RNN, and GAN architectures with Q&A explanations
- study object detection and image segmentation concepts
- look up hyperparameter tuning and model compression techniques
- find a free deep learning study reference in Chinese

## When to choose
- you want a free, comprehensive Q&A-style deep learning reference
- you are preparing for AI/ML job interviews and need to fill knowledge gaps
- you prefer Chinese-language learning material
- you need broad coverage from math basics to computer vision and NLP

## When to avoid
- you need hands-on code tutorials or runnable notebooks
- you want a rigorous, peer-reviewed textbook with formal exercises
- you need up-to-date coverage of the latest LLM and transformer research
- you cannot read Chinese and the English translation is incomplete

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, nlp
- domain: deep-learning, machine-learning, computer-vision, tutorials, education
- platform: cross-platform
- tags: interview-preparation, q-and-a, chinese, open-book, mathematics, cnn, rnn, gan

## Member repositories
- scutan90/DeepLearning-500-questions (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:18.555926+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 2026-08-29T16:18:30.125082+00:00, confidence not recorded.
  - readme: https://github.com/scutan90/DeepLearning-500-questions (fetched 2026-08-28T04:12:18.555926+00:00, sha f88bd1f2ec9d)
  - homepage: https://github.com/scutan90/DeepLearning-500-questions (fetched 2026-08-28T18:02:34.751798+00:00, sha 768961a83ea8)
- Data as of 2026-08-30T08:39:29.467469+00:00.