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 tf.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
	Neural Networks
	Convolutional Neural Networks
	Wide Convolutional Neural Networks
	Advanced Neural Networks
	Mobile Networks
	Data Engineering
	Data Augmentation
	Training
	Transfer Learning
	Production
notebooks	notebooks for production-grade solutions
zoo	tf.keras model zoo (coded in idiomatic and composable design pattern) - Apache 2.0 license

Reviewers and Contributors

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 Gorner
Brad Miro
Tianzi Cai
Sara Robinson
Puneith Kaul
Crystal Gomes

Other Current/Former Googlers

William Barret
Sharon Maher

Google Developer Experts (GDE)

Margaret Maynard-Reid / Seattle

ML Practioners

Hobson Lane
Enoch Tetteh
Bill Liu

Quotes

This is an absolutely excellent tutorial. I love the style and level of detail---not too much, not too little. -- Andrew Moore, VP of Engineering, Google Cloud

The Keras Idiomatic Programmer repository is a neat collection of workshops and handbooks introducing key machine learning concepts to the developer audience. I think it's a great project with very useful content. -- Francois Chollet (creator of Keras)

This collection is literally my Keras bible. a great one. - Roozebh Sanaei, Computer Vision Engineer at Rapsodo

This [composable design pattern] is so amazing of an effort. - Sayak Paul, GDE/ML and Deep Learning Associate at PyImageSearch

Disclaimer

This is not an officially supported Google product.