It's easy to miss but there's a link in the post to play around with the project but if you try to fork it you'll get an error. To get around this you have to create an account[0] first and then return to the project.[1] Then you can fork/copy and re-run it.

[0] https://www.dominodatalab.com/try

[1] https://try.dominodatalab.com/u/domino-andrealowe/Natural-La...

Hi! I'm the author of the Deep Learning Illustrated book that the blog post is based on.

One could alternatively fork the book's GitHub repo (https://github.com/the-deep-learners/deep-learning-illustrat...), which includes all of the code covered in the post.

Cool, but this seems to contain very few illustrations.

haha touché! While the blog post contains few illustrations, the book that it's based on, Deep Learning Illustrated, contains north of a hundred of them.

Is there similar thing just for the Deep Fakes?

Chapter 12 of the book Deep Learning Illustrated is an introduction to Generative Adversarial Networks, so yes!