PyData Global 2022

Mixing art with Python: an introduction to Style Transfer
12-03, 11:30–12:00 (UTC), Talk Track I

What would the sunset painted by van Gogh look like? And the front of your house? This is entirely possible with Deep Learning. The Neural Style Transfer technique aims to compose images in the style of another image, modifying the content and saving it at the same time.

In this lecture, the concepts of Deep Learning, neural networks, and the step-by-step to carry-out styles transfer will be introduced.


Art is a difficult concept to define. What is art for some may not be art for others and this concept changes over time, with something that was not considered art becoming art.

If we define art as a set of techniques in order to express something, can we expand this activity to machines? Can a work made by an algorithm be considered art?

The transfer of styles is a field that brings these questions to the fore, as it allows the creation of works from the styles of another (hence its name). The results can be sensational works, giving wings to the imagination


Prior Knowledge Expected

No previous knowledge expected

Brazilian, Software Engineer and AI enthusiast.
MSc of Computing at Federal University of Ceara.
Cinema lover, astrophysical curious and traveller.