Creativity in Machine Learning
Computer Vision and Pattern Recognition
2016-01-15 v1 Machine Learning
Abstract
Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple forms: As images, as text and as audio. This paper gives a high level overview of how they are created and gives some examples. It is meant to be a summary of the current work and give people who are new to machine learning some starting points.
Cite
@article{arxiv.1601.03642,
title = {Creativity in Machine Learning},
author = {Martin Thoma},
journal= {arXiv preprint arXiv:1601.03642},
year = {2016}
}
Comments
5 pages, 4 figures