# floodsung/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Repository: https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
Canonical: https://ross.abutalabs.com/products/deep-learning-papers-reading-roadmap
Language: Python
License Family: other
Topics: deep-learning
Last push: 2022-11-27T13:18:32+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": 3610, "days_push": 1375, "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 39548, forks 7262 (observed 2026-08-28T04:12:07.915581+00:00)

## What it is
A curated reading roadmap of deep learning research papers organized from foundational history to state-of-the-art topics. It guides newcomers through an ordered list of landmark papers with annotations and star ratings.

## Use cases
- find which deep learning paper to read first
- structured curriculum for learning deep learning from papers
- reading list of landmark neural network papers
- progress from deep learning basics to state-of-the-art research
- study plan for convolutional networks and deep learning history

## When to choose
- you are a newcomer wanting a guided path through deep learning literature
- you prefer learning from original research papers rather than courses
- you want a curated, ordered list of classic and modern papers

## When to avoid
- you need hands-on code tutorials or runnable examples
- you want interactive courses or video lectures
- you need up-to-date coverage of the newest research beyond the roadmap's last update

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: cross-platform
- tags: reading-roadmap, papers, curated-list, education, awesome-list

## Member repositories
- floodsung/Deep-Learning-Papers-Reading-Roadmap (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:07.915581+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 2026-08-29T16:24:07.073972+00:00, confidence not recorded.
  - readme: https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap (fetched 2026-08-28T04:12:07.915581+00:00, sha 41d0cde7cd38)
- Data as of 2026-08-30T08:39:29.467469+00:00.