Idiomatic Programmer
This repository contains the handbooks in softcopy (PDF) and code examples from the Idiomatic Programmer handbook series, as well as presentation packs and accompanying code labs. The Idiomatic Programmer materials are produced by Google AI Developer Relations. The audience for the materials are software engineers wanting to learn machine learning. Our first series focuses on the Keras framework and computer vision, along with OpenCV.
The material 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 |
|---|---|
src |
code snippets for handbooks (e.g., handbook1) - Apache 2.0 license |
handbooks |
PDF softcopy of handbooks - CC-BY 4.0 license |
| Primer - Statistics Fundamentals for Machine Learning | |
| Handbook 1 - Learning Keras - Computer Vision Models | |
| Handbook 2 - Learning Keras (OpenCV) - Computer Vision Data Engineering | |
| Handbook 3 - Learning Keras - Computer Vision Training and Deployment | |
workshops |
workshops (presentation slides and code labs) - CC-BY 4.0 license |
zoo |
tf.keras model zoo (coded in idiomatic programming style) - Apache 2.0 license |
Reviewers
We thank the following for their reviews and contributions to the Idiomatic Programmer:
Google Cloud AI - Developer Relations
Andrew Ferlitsch
Noah Negrey
Yu-Han Liu
Shahin Saadati
Torry Yang
Gonzalo Gasca Meza
Amy Unruh
Martin Groner
Brad Miro
Tianzi Cai
Google Developer Experts (GDE)
Margaret Maynard-Reid / Seattle
ML Practioners
Disclaimer
This is not an officially supported Google product.