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Implement Neural Network Deep Feed Forward on micro-controller using MicroPython. This project has been designed in pure MicroPython. Neural Network project is available here and require Matrix available here . I recommend to do the training on a computer, but you can run small training with MicroPy...

Thanks Jimmo,
I've added a comment link to issue #5897. Lets wait and see.

I'm using ESP32 board without SPIRAM and I plan to use the recent RPi PICO.
At that stage I don't feel confident to custom build my own version.
It would be a good idea to enable, __radd__(), __rsub__(), __rmul__()...
Can you help to raise an issue?

I'm getting this error TypeError: unsupported types for __add__: 'int', 'Matrix' . It seem to be link to def __radd__(self, other): but I need help. In fact my class Matrix works well with python 3.7.3 but not with micropython v1.13 or v1.14 . def add(a, b): return a + b def sub(a, b): return a - b ...

Thanks for your links.
Here is my on-going Matrix project.
https://gitlab.com/olivier.len02/MicroPython-Matrix

https://gitlab.com/olivier.len02/MicroPython-Matrix I wrote the following code to do basic matrix operations. It works for me, but I'm not sure it's the best way to do it. Do you have recommendation? Is it the right way when I use return Matrix(...) ? def add(a, b): return a + b def sub(a, b): retu...

If your looking for µs, you can use the RMT.
I've been using it in MicroPython-Multiaxis project. Discussion in this forum Multiaxis stepper motors using RMT.

So far, manage acceleration is in the roadmap, but I didn't had time to work on it. You can access the period of the fastest axis by changing MultiAxis.period if you use MultiAxis.g01() . I may have to work on acceleration earlier because MicroPython-DobotArmV1 project will soon require this feature.

You can have a look at this project https://gitlab.com/olivier.len02/micropython-multiaxis and also the following forum posts viewtopic.php?f=15&t=7497.
The GPIO version should work on a PyBoard.