# udacity/deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Repository: https://github.com/udacity/deep-learning
Canonical: https://ross.abutalabs.com/products/deep-learning
Homepage: https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2023-10-02T05:52:48+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": 3519, "days_push": 1066, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4053, forks 4394 (observed 2026-08-28T04:08:33.894164+00:00)

## What it is
A collection of Jupyter Notebook tutorials and projects from Udacity's Deep Learning Nanodegree Foundations program. It covers implementing neural network models such as CNNs, RNNs, GANs, autoencoders, and reinforcement learning agents using TensorFlow and NumPy.

## Use cases
- learn deep learning from scratch with hands-on notebooks
- implement a sentiment analysis RNN
- understand word2vec embeddings
- build a GAN for image generation
- practice Q-learning reinforcement learning
- learn weight initialization and batch normalization
- study transfer learning with VGGnet

## When to choose
- you want free, self-paced tutorial notebooks for deep learning fundamentals
- you learn best by implementing models from scratch in Python
- you want example projects like sentiment analysis or image classifiers

## When to avoid
- you need production-ready deep learning libraries or frameworks
- you want up-to-date course content, since notebooks use older TensorFlow 1.x APIs
- you need expert project reviews, which require enrolling in the paid Nanodegree

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, nlp, computer-vision
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: jupyter-notebooks, udacity, nanodegree, tensorflow, pytorch, tutorials, gan, rnn, cnn, reinforcement-learning

## Member repositories
- udacity/deep-learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:33.894164+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 2026-08-29T18:23:39.117189+00:00, confidence not recorded.
  - readme: https://github.com/udacity/deep-learning (fetched 2026-08-28T04:08:33.894164+00:00, sha d2f89523d4ea)
  - homepage: https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101 (fetched 2026-08-29T09:15:59.730113+00:00, sha 34893272667e)
  - site_page: https://www.udacity.com/about-us (fetched 2026-08-29T09:15:59.740307+00:00, sha ad3c068dec64)
  - site_page: https://support.udacity.com/hc/en-us (fetched 2026-08-29T09:15:59.742126+00:00, sha eb0c6a6cb290)
- Data as of 2026-08-30T08:39:29.467469+00:00.