jpequegn / WTM

Exercises for an educational workshop

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Welcome to the workshop

Agenda

During this workshop, you'll explore two approaches to Style Transfer, a technique that blends the style of an image with the content of another. You'll create beautiful artwork like this:


Created using Magenta


Created using Fast Style Transfer

As time remains, you'll also gain experience writing a basic TensorFlow program. We'll work with (you guessed it) handwritten digits. That said, our main goal is to get you started exploring Style Transfer - because - it's awesome.


Good olde MNIST

Installation instructions

Our goal is to make it as easy as possible for you to participate in the workshop.

You can either bring a laptop, or you may use a loaner Chromebook we provide on site. Either way, please install the software you need in advance (either on your laptop, or, by preparing a Cloud VM) as described in these instructions.

The easiest way is to use a Docker image we provide.

Option 1: Use our Docker image on your laptop

If you are bringing a laptop and want to install everything you need locally, please see these instructions to learn how to install and use the Docker image on your laptop.

Option 2: Use our Docker image in the Cloud

If you are using a loaner Chromebook, or prefer to work in the Cloud, please see these instructions to learn how to configure a Cloud-based VM, and how to install and use the Docker image on it.

Option 3: Install TensorFlow directly on your laptop

If you are an experienced developer and prefer not to use Docker, you may install the libraries you need manually.

Exercise instructions

Finished installing? Great! Preview the exercise instructions.

Slides

Here's a link to the slides.

Next steps

Want to learn more about Style Transfer?

Awesome. Check out these two pages for papers and code:

Hungry for more open source projects?

Perhaps you'd like to:

Want to report a bug?

Thanks! Can you please file an issue, or even better, a pull request? We'll be doing this workshop a couple times, and future developers will appreciate your help.


General disclaimer, this is my personal repo and not an official Google product.

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Exercises for an educational workshop

License:Apache License 2.0


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