# stanfordnlp/cs224n-winter17-notes

Course notes for CS224N Winter17

Repository: https://github.com/stanfordnlp/cs224n-winter17-notes
Canonical: https://ross.abutalabs.com/products/cs224n-winter17-notes
Language: TeX
License Family: other
Last push: 2017-07-09T00:27:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3492, "days_push": 3343, "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 1605, forks 428 (observed 2026-08-28T04:05:10.375494+00:00)

## What it is
LaTeX course notes for Stanford's CS224N (Natural Language Processing with Deep Learning) Winter 2017 offering. It provides written lecture notes covering NLP and deep learning topics.

## Use cases
- study deep learning for NLP from Stanford course notes
- learn word embeddings and recurrent neural networks
- supplement CS224n lectures with written material
- review NLP fundamentals like attention and seq2seq models
- find free university-level NLP course material

## When to choose
- you want structured written notes accompanying a well-known NLP course
- you are learning deep learning for NLP from scratch
- you prefer reading LaTeX-quality lecture notes over video lectures

## When to avoid
- you need up-to-date material covering transformer-based LLMs
- you want runnable code rather than written notes
- you need actively maintained or officially licensed content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, deep-learning
- domain: deep-learning, education, tutorials
- platform: python
- tags: course-notes, cs224n, stanford, latex, word-embeddings, teaching-materials, natural-language-processing

## Member repositories
- stanfordnlp/cs224n-winter17-notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:10.375494+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 2026-08-30T03:52:17.945736+00:00, confidence not recorded.
  - readme: https://github.com/stanfordnlp/cs224n-winter17-notes (fetched 2026-08-28T04:05:10.375494+00:00, sha 827c6e130d13)
- Data as of 2026-08-30T08:39:29.467469+00:00.