# amusi/Deep-Learning-Interview-Book

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）

Repository: https://github.com/amusi/Deep-Learning-Interview-Book
Canonical: https://ross.abutalabs.com/products/deep-learning-interview-book
License Family: other
Topics: deep-learning, interview, machine-learning, computer-vision, natural-language-processing, slam, recommendation-system
Last push: 2024-04-24T12:09:45+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": 2627, "days_push": 861, "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 8907, forks 1372 (observed 2026-08-28T04:10:26.235866+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: deep-learning, machine-learning, computer-vision, tutorials
- platform: cross-platform
- tags: interview-preparation, ai-jobs, study-notes, slam, recommendation-systems, chinese-language, natural-language-processing

## Member repositories
- amusi/Deep-Learning-Interview-Book (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:26.235866+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 2026-08-29T17:24:43.357511+00:00, confidence not recorded.
  - readme: https://github.com/amusi/Deep-Learning-Interview-Book (fetched 2026-08-28T04:10:26.235866+00:00, sha 37f2f7b876ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.