AI & TinyML

This subdomain collects TAMCPP's AI / TinyML hands-on labs. Like Embedded Development and Networking, this isn't the place for concept reference cards — it's for "build a working thing from scratch" projects. The goal is to express neural-network inference in modern C++ in a way that's clear, controllable, and explainable, while pulling std::array / std::span / constexpr / template dimension constraints / exception-free error handling / no heap allocation / static weights into one coherent piece.

Projects

• TinyInferCpp-Lab — Build a toy neural-network inference engine from scratch in C++23 (Input → Dense → ReLU → Dense → Argmax): float32, fixed structure, no heap / no exceptions / no RTTI on the core path. PC closure first, STM32 deployment as a follow-up.