Tinn is a minimal neural network implementation in C that provides forward and backward propagation for feedforward networks. It includes a single hidden layer architecture with sigmoidal activation and supports training on datasets like handwritten digits. The library is designed to be portable and lightweight, suitable for embedded systems after training on a more powerful desktop.