When I first run a Machine learning project on my Arduino Nano (old generation), it already felt a big achievement. I mean, that board has only 32 Kb of program space and 2 Kb of RAM and you can buy a chinese clone for around 2.50 $.
It already opened the path to a embedded machine learning at a new scale, given the huge amount of microcontrollers ready to become “intelligent”.
But it was not enough for me: after all, the MicroML generator exports plain C that should run on any embedded system, not only on Arduino boards.
So I setup to test if I could go even smaller and run it on the #1 of tiny chips: the Attiny85.
Mike is the founder and editor of Electronics-Lab.com, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)
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