# pkmital/CADL

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Repository: https://github.com/pkmital/CADL
Canonical: https://ross.abutalabs.com/products/cadl
Homepage: https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: jupyter-notebook, neural-network, tensorflow, deep-learning, mooc, dockerfile, machine-learning, tutorial, workshop
Last push: 2019-05-06T07:18:18+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": 3710, "days_push": 2676, "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 1482, forks 717 (observed 2026-08-28T04:04:51.191682+00:00)

## What it is
Archived repository of lecture transcripts and homework Jupyter Notebooks for the free Kadenze MOOC 'Creative Applications of Deep Learning with TensorFlow'. It spans three courses covering TensorFlow basics, neural networks, autoencoders, GANs, RNNs, and generative models for image, audio, and language.

## Use cases
- learn deep learning with tensorflow from scratch
- find course materials on generative models like GANs and autoencoders
- study jupyter notebook tutorials on neural networks
- learn how to build and train a neural network in tensorflow
- understand variational autoencoders and image-to-image translation
- self-study creative applications of deep learning for art and music

## When to choose
- you want free, structured course materials for learning TensorFlow and deep learning
- you prefer hands-on Jupyter notebook lectures and homework assignments
- you are interested in creative/generative applications like image hallucination, DRAW, and WaveNet

## When to avoid
- you need a maintained library or up-to-date TensorFlow 2.x examples
- you want production-ready code rather than educational notebooks
- you need support or an active community, since the repo is archived

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, education, computer-vision
- platform: python, cross-platform
- tags: tensorflow, jupyter-notebooks, mooc, generative-models, creative-coding, course-materials, archived, natural-language-processing, audio, docker

## Member repositories
- pkmital/CADL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:51.191682+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 2026-08-30T04:34:08.725511+00:00, confidence not recorded.
  - readme: https://github.com/pkmital/CADL (fetched 2026-08-28T04:04:51.191682+00:00, sha bd08f82019d2)
  - homepage: https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info (fetched 2026-08-29T11:41:01.634346+00:00, sha 7c1f4c073f98)
  - site_page: https://www.kadenze.com/features (fetched 2026-08-29T11:41:01.644894+00:00, sha 7ceb486c201c)
  - site_page: https://www.kadenze.com/pricing_and_membership (fetched 2026-08-29T11:41:01.643184+00:00, sha 43117ca246d6)
  - site_page: https://www.kadenze.com/frequently_asked_questions (fetched 2026-08-29T11:41:01.646314+00:00, sha 77dc40af4f44)
- Data as of 2026-08-30T08:39:29.467469+00:00.