amusi/Deep-Learning-Interview-Book resource
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向) observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2627
- days_rel: n/a
- days_push: 861
- n_releases_24m: 0
Adoption not part of the score
8907 stars · 1372 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated Chinese-language interview preparation book for AI roles, covering math, machine learning, deep learning, computer vision, NLP, SLAM, recommendation systems, and coding questions. It is organized as a collection of markdown study notes plus links to job-hunting resources.
Use cases
- prepare for a deep learning engineer interview
- study machine learning interview questions
- review computer vision interview topics
- practice NLP interview questions
- brush up on data structures and algorithms for AI job interviews
- find AI algorithm engineer job hunting tips
When to choose
- you are preparing for AI/ML algorithm engineer interviews, especially in the Chinese job market
- you want a broad, topic-organized collection of interview questions and answers
- you need coverage of niche areas like SLAM or recommendation algorithms
When to avoid
- you need a formal textbook or structured course with exercises
- you only read English, since the content is primarily in Chinese
- you want hands-on code projects rather than conceptual Q&A notes
Facets
learning-resource · maturity active
documentation developer-tools deep-learning machine-learning computer-vision tutorials cross-platform interview-preparation ai-jobs study-notes slam recommendation-systems chinese-language natural-language-processing
1 source
- readme: https://github.com/amusi/Deep-Learning-Interview-Book · fetched 2026-08-28 · 37f2f7b876ab
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| amusi/Deep-Learning-Interview-Book | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="amusi/Deep-Learning-Interview-Book")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem