Awesome
Google Cloud AI Developer Relations
This repository contains content produced by Google Cloud AI Developer Relations for machine learning and artificial intelligence. The content covers a wide spectrum from educational, training, and research, covering from novices, junior/intermediate to advanced.
The content has been designed both for self-learning, and for being incorporating into instructional material for universities, private coding schools, and professional training. Licensed as Apache 2.0 and CC-BY, organizations are free to integrate and customize the material into their curriculum.
The repository is organized by:
| Directory | Description |
|---|---|
handbooks | Google (FREE) PDF softcopy of handbooks - CC-BY 4.0 license (2019) |
books | PDF softcopy of books - preview versions |
workshops | workshops (presentation slides and code labs) - CC-BY 4.0 license (2019) |
notebooks | notebooks for production-grade solutions |
zoo | tf.keras model zoo (coded in idiomatic and composable design pattern) - Apache 2.0 license |
community labs | Labs for community participation in research |
Reviewers and Contributors
We thank the following for their reviews and contributions to the Idiomatic Programmer:
Google Cloud AI - Developer Relations
Andrew Ferlitsch<br/> Noah Negrey<br/> Yu-Han Liu<br/> Shahin Saadati<br/> Torry Yang<br/> Gonzalo Gasca Meza<br/> Amy Unruh<br/> Martin Gorner<br/> Brad Miro<br/> Tianzi Cai<br/> Sara Robinson<br/> Puneith Kaul<br/> Crystal Gomes
Other Current/Former Googlers
William Barret<br/> Sharon Maher
Google Developer Experts (GDE)
Margaret Maynard-Reid / Seattle
ML Practioners
Hobson Lane<br/> Enoch Tetteh<br/> Bill Liu<br/> Miklos Toth
Disclaimer
This is not an officially supported Google product.