User:Alexander Roidl/notes: Difference between revisions
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Generating images with statistical math. | Generating images with statistical math. | ||
Machine learning comes down to statistical calculations. So why is it so different from other algorithms? | |||
It makes decisions > hard to understand | |||
Changes aesthetics > influence on image culture | |||
changes how we see | |||
what is the relevance of the work? | |||
Find a concrete issue | |||
generation of photo-realistic images, image detection, touching surveillance and photography. |
Revision as of 18:25, 7 November 2018
visual culture visual generation images
machine learning new learning algorithms
what to learn from machine learning and its influence on visual culture
Currently we encounter those strange new images, that look like morphing or artworks that are being generated by machine learning algorithms, without a deeper understanding of the underlying technology.
So machine learning became a hyped tool also for artists to do something "interesting".
But besides creating meaningless images by just throwing new datasets at those new algorithms, what can be learned from them? Especially, what has lasting potential to influence visual culture?
From generating random art to interventions in algorithms.
WHY? why why?
machine learning influences visual culture drop shadow did as well - so what is the point
machine learning changes how we perceive the world.
The probability of an image
Generating images with statistical math.
Machine learning comes down to statistical calculations. So why is it so different from other algorithms? It makes decisions > hard to understand
Changes aesthetics > influence on image culture changes how we see
what is the relevance of the work?
Find a concrete issue
generation of photo-realistic images, image detection, touching surveillance and photography.