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https://github.com/googlecloudplatform/keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
https://github.com/googlecloudplatform/keras-idiomatic-programmer

autoencoder automl dcgan deep-learning densenet inception keras keras-tutorials machine-learning mobilenet resnet resnext senet shufflenet siamese-network squeezenet tensorflow-keras vgg xception

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Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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README

        

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE)
[![License](https://i.creativecommons.org/l/by/4.0/80x15.png)](LICENSE)

# 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`](handbooks) | Google (FREE) PDF softcopy of handbooks - CC-BY 4.0 license (2019) |
| [`books`](books) | PDF softcopy of books - preview versions |
| [`workshops`](workshops) | workshops (presentation slides and code labs) - CC-BY 4.0 license (2019) |
| [`notebooks`](notebooks) | notebooks for production-grade solutions |
| [`zoo`](zoo) | tf.keras model zoo (coded in idiomatic and composable design pattern) - Apache 2.0 license |
| [`community labs`](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](https://github.com/andrewferlitsch)

[Noah Negrey](https://www.linkedin.com/in/noah-negrey-bb0a395a)

[Yu-Han Liu](https://www.linkedin.com/in/yu-han-liu-7719281a)

[Shahin Saadati](https://www.linkedin.com/in/shahinsaadati)

[Torry Yang](https://www.linkedin.com/in/torryyang)

[Gonzalo Gasca Meza](https://www.linkedin.com/in/gogasca)

[Amy Unruh](https://www.linkedin.com/in/amyunruh)

[Martin Gorner](https://www.linkedin.com/in/martingorner)

[Brad Miro](https://www.linkedin.com/in/brad-miro)

[Tianzi Cai](https://www.linkedin.com/in/tianzi)

[Sara Robinson](https://www.linkedin.com/in/sara-robinson-40377924)

[Puneith Kaul](https://www.linkedin.com/in/puneith)

[Crystal Gomes](https://www.linkedin.com/in/crystalgomes)

*Other Current/Former Googlers*

William Barret

[Sharon Maher](https://www.linkedin.com/in/sharonmeetworld)

*Google Developer Experts (GDE)*

[Margaret Maynard-Reid / Seattle](https://github.com/margaretmz)

*ML Practioners*

[Hobson Lane](https://www.linkedin.com/in/hobsonlane)

[Enoch Tetteh](https://www.linkedin.com/in/enoch-tetteh-80450211a)

[Bill Liu](https://www.linkedin.com/in/billliu1202)

[Miklos Toth](https://www.linkedin.com/in/miklostoth/)

## Disclaimer

This is not an officially supported Google product.