- Published on
Generative Art : Style-Transfer
- Authors
- Name
- Martin Andrews
- @mdda123
Sam Witteveen and I recently started the TensorFlow and Deep Learning Singapore group on MeetUp, and the third MeetUp was again hosted by Google.
This talk included a TensorFlow version of the Art-Style-Transfer notebook that was already in the deep-learning-workshop repo - and I have to admit, the overall example is probably better in the TF version, because I teased out some details along the way.
There are links given in the presentation to the code and online examples.
![Presentation Screenshot](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2017-04-13_TFandDL_ArtStyleTransfer_600x390.png&w=1200&q=75)
If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.
![Presentation Content Example](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2017-04-13_TFandDL_ArtStyleTransfer_5-4_600x390.png&w=1200&q=75)
Video Link
The presentation was kindly recorded by Engineers.sg.
Refactoring
By the way, the deep-learning-workshop repo is undergoing some major refactoring. The aim is to make the individual examples work in a stand-alone fashion (downloading the necessary dependencies) while the assembled-into-a-VM still works with everything pre-loaded.
That means that downloading an individual notebook and stepping through it should just work. If it doesn't please let me know, and I'll prioritorize fixing it.