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Towards the Cutest Neural Network

cutest neural network← Back to Kevin's homepagePublished: 2025 April 28 I recently needed to use a microcontroller to estimate the pose (translation and orientation) of an object using readings from six different sensors. Since the readings were non-linear and coupled with each other, an explicit analytical solution was out of the question.

checkpoint my understanding of the space and current best solution help anyone else who simply wants a wholesome lil’ universal function approximator with low conceptual and hardware overhead solicit “why don’t you just …” emails from experienced practitioners who can point me to the library/tutorial I’ve been missing =D (see the down the page for what I struck out on) In a very Google move at some point they renamed the project and docs to “ Lite RT ” but didn’t finish the job, so the various code repos, python packages, and file formats are all still various permutations of the earlier names. uTensor looked promising — their readme calls out their runtime size of 2kB — but I didn’t pursue it because their overview doc spends a bunch of time discussing concepts I know I don’t need, so the whole thing felt a bit too heavy/complex for my “I just wanna matmul a simple fixed network architecture” situation.

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