Graphics Interchange Format was born on June 15, 1987. While often criticized for its limited color palette, bulky size, and controversial pronunciation, none of that has stopped it from becoming one of the fundamental mediums for digital art. To celebrate GIF’s 30th birthday, we pulled together 30 of our favorite GIFs of student work in some of our creative coding courses: Intro to Programming for the Digital Arts with p5.js, The Nature of Code, and Creative Applications of Deep Learning with TensorFlow. Dive in.


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  1. Douglas Brandt — Creative Applications of Deep Learning with TensorFlow

 

2. David Reep — The Nature of Code

 

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3. Eiji Matsunaga — Creative Applications of Deep Learning with TensorFlow

 

4. Colin Honigman — Intro to Programming for the Digital Arts with p5.js

 

Hank Stoever Explore

5. Hank Stoever — Creative Applications of Deep Learning with TensorFlow

 

6. Dexter Shepherd — The Nature of Code

 

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7. Henryk Trappman — Creative Applications of Deep Learning with TensorFlow

 

8. Joe Thel — Intro to Programming for the Digital Arts with p5.js

 

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9. James Dreiss — Creative Applications of Deep Learning with TensorFlow

 

10. Javier Melgar — The Nature of Code

 

11. Kouassi Konan Jean-Claude — Creative Applications of Deep Learning with TensorFlow

 

12. Bob van Hoove — Intro to Programming for the Digital Arts with p5.js

 

13. Matthew Deakos — Creative Applications of Deep Learning with TensorFlow

 

14. Jorge Amunatigui — The Nature of Code

 

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15. Michael Colton — Creative Applications of Deep Learning with TensorFlow

 

16. Colin Honigman — Intro to Programming for the Digital Arts with p5.js

 

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17. Naoya Sugimoto — Creative Applications of Deep Learning with TensorFlow

 

18. Junyi Sha — The Nature of Code

 

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19. Neil Slater — Creative Applications of Deep Learning with TensorFlow

 

20. Joe Thel — Intro to Programming for the Digital Arts with p5.js

 

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21. Teru Watanabe — Creative Applications of Deep Learning with TensorFlow

 

by Michael Kittenberger

22. Michael Kittenberger — The Nature of Code

 

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23. Julien Deswaef — Creative Applications of Deep Learning with TensorFlow

 

24. Dexter Shepherd — Intro to Programming for the Digital Arts with p5.js

 

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25. Sandor Pogacsas — Creative Applications of Deep Learning with TensorFlow

 

by Mischa Mischa

26. Mischa — The Nature of Code

 

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27. Kevin Smith — Creative Applications of Deep Learning with TensorFlow

 

28. Jasper Kloosterboer — Intro to Programming for the Digital Arts with p5.js

 

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29. Teru Watanabe — Creative Applications of Deep Learning with TensorFlow

 

Student Work of the Month: May

30. Machiel Veltkamp — The Nature of Code


If you’re not too dizzy, you can stream any of the courses these were made in for free. Check them out below:

Creative Applications of Deep Learning with TensorFlow

This course introduces you to deep learning: the state-of-the-art approach to building artificial intelligence algorithms. A major focus of this course will be to not only understand how to build the necessary components of these algorithms, but also how to apply them for exploring creative applications.

 

Introduction to Programming for the Digital Arts with p5.js

As a comprehensive first introduction to the potential of software development within a broad range of the arts, this course aspires to teach you to engage the computer more directly with code.

 

The Nature of Code

This class focuses on the programming strategies and techniques behind computer simulations of natural systems. We explore topics ranging from basic mathematics and physics concepts to more advanced simulations of complex systems.