Monthly Archives: April 2023

Wave Styled by ML

Modifying a image with a style using machine learning

The first ingredient to happiness in happiness is an attitude of openness.

Fun With Machine Learning

I have been sharing the following images around. They were created with machine learning code that I came across and modified a bit while examining how it operates.

See the following for more info… How to Generate Art Demo Command Line Version

The code basically takes an image and imposes a style from another image upon it. It is rather computational expensive as it takes around 12 Gigabytes of RAM to “work” on a 1024×1024 pixel image and about 2 hours of compute time to run the 20 iterations required to complete an image. Machine learning is a fascinating new frontier in technology that I have been spending some time since the spring of 2018 getting to understand on a deeper level. I’ve seen a lot of technologies come and go but, this field has stunned me, is moving forward very fast and is here to stay.

Prior to 2018 I had some exposure to machine learning in the sense of using adaptive control systems in industry. I also worked on a research project that involved a type of fuzzy logic and cellular automata for a learning system that would be used in a control loop. I also developed code that used a tractrix curve as the main element of a control system. But, that is kind of simple machine learning as compared to what is going on today.

This link is to the original paper on this topic, there are some more images in it as well,

https://arxiv.org/pdf/1508.06576.pdf?fbclid=IwAR19_eqx3SmHMyqnAnirbfyAWDqLYkqMp98C0XZ6GEfeXZRxnDPaagZ5B_E