Getting started with Hailo-8L using MNIST – full training-to-inference example

Hey everyone,

I recently started learning machine learning from scratch, and I wanted to get hands-on with a real project using the Hailo-8L chip.

So I created this GitHub repo:
:backhand_index_pointing_right: GitHub - l-nmch/hailo-mnist: A guide on training a model, testing it, and optimizing it for deployment on a Hailo8L NPU unsing MNIST

It shows the full pipeline from training a simple MNIST model to running inference on the Hailo-8L - including testing and model conversion steps.

The goal is to make it easy for anyone to follow and really learn how to work with Hailo in practice, not just deploy pre-trained models.

Hope this helps others who are just starting out too!
Happy to get feedback or ideas to improve it :slightly_smiling_face: