# robbertliu/deeplearning.ai-andrewNG

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

Repository: https://github.com/robbertliu/deeplearning.ai-andrewNG
Canonical: https://ross.abutalabs.com/products/deeplearningai-andrewng
Language: Jupyter Notebook
License Family: other
Last push: 2018-11-02T14:30:27+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": 3138, "days_push": 2861, "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 1778, forks 584 (observed 2026-08-28T04:05:35.205857+00:00)

## What it is
A collection of slides, Jupyter notebooks, datasets, solutions, and video links for Andrew Ng's deeplearning.ai Deep Learning Specialization courses. It serves as a study companion and reference for learners working through the course material.

## Use cases
- study the deeplearning.ai deep learning specialization
- find solutions to deep learning course programming assignments
- download course slides and notebooks for offline study
- practice neural network implementations in jupyter notebooks
- review convolutional networks and sequence models coursework
- get video links for the deep learning specialization lectures

## When to choose
- you are taking or reviewing Andrew Ng's deeplearning.ai specialization and want notebooks, slides, and solutions in one place
- you want worked examples of neural network assignments in Jupyter notebooks

## When to avoid
- you need a maintained deep learning library or production framework
- you need up-to-date course materials or support - the repo has not been updated since 2018 and has no license
- you want to run assignments requiring large pretrained model files without fetching them from external links

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: deep-learning, machine-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: jupyter-notebooks, course-materials, andrew-ng, deeplearning-ai, slides, solutions

## Member repositories
- robbertliu/deeplearning.ai-andrewNG (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:35.205857+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 2026-08-30T03:25:10.742056+00:00, confidence not recorded.
  - readme: https://github.com/robbertliu/deeplearning.ai-andrewNG (fetched 2026-08-28T04:05:35.205857+00:00, sha a3fa2fe3acaa)
- Data as of 2026-08-30T08:39:29.467469+00:00.