# ShanghaiTechAIClub/DLInterview

Deep Learning Interview 深度学习面试题目汇总

Repository: https://github.com/ShanghaiTechAIClub/DLInterview
Canonical: https://ross.abutalabs.com/products/dlinterview
License Family: other
Topics: deep-learning, interview-questions, machine-learning, algorithms
Last push: 2018-05-03T03:02:13+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": 3082, "days_push": 3044, "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 1110, forks 204 (observed 2026-08-28T04:03:37.513268+00:00)

## What it is
A curated collection of deep learning and machine learning interview questions covering math, ML, DL, computer vision, algorithms, and programming languages, plus aggregated CS fundamentals notes. It is a study reference rather than runnable software.

## Use cases
- prepare for a deep learning interview
- review machine learning interview questions
- study computer vision interview topics
- practice common algorithm interview problems
- brush up on CS fundamentals before a tech interview

## When to avoid
- you need up-to-date content on modern LLM topics (last updated 2018)
- you want an interactive course or runnable code rather than notes
- you need English-language material (content is primarily Chinese)

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation
- domain: deep-learning, machine-learning, tutorials, education
- platform: cross-platform
- tags: interview-questions, study-notes, computer-vision, algorithms, chinese-language

## Member repositories
- ShanghaiTechAIClub/DLInterview (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.513268+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 2026-08-30T06:43:25.756320+00:00, confidence not recorded.
  - readme: https://github.com/ShanghaiTechAIClub/DLInterview (fetched 2026-08-28T04:03:37.513268+00:00, sha e837cdc9b8a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.