Tiny Machine Learning on the Edge with TensorFlow Lite Running on SAMD51, we have trained a new model that listens for "up" or "down".

You’ve heard of machine learning (ML), but what is it? And do you have to buy specialty hardware to experiment? Nope! If you have some Adafruit hardware, you can build some Tiny ML projects today!

We’ve wrappered the TensorFlow Lite micro speech demo to Arduino so you can do basic speech recognition on our SAMD51 boards.

In this demo we’ll hook up a microphone to our PyGamer to detect “up” or “down” speech and display some mini videos to play if your voice was detected by TensorFlow Lite, move a bubble wand up or down, controlling a servo, and DC motor, all on a Cortex M4 processor, all battery powered! Code is here – GitHub.

https://github.com/adafruit/Adafruit_TFLite_Micro_Speech/tree/updownmodel

We used docker for this, we can easily train more models on our local system, and we've uploaded them here on docker hub!

https://hub.docker.com/search/?q=ladyada&type=image

#machinelearning #tensorflow #tinyml

We have a Hackday Hackchat coming up soon, and this is one of the examples we'll be showing off live!

https://hackaday.io/project/5373-hack-chat

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