This repository provides a hands-on tutorial implementation of the most basic form of an artificial neural network (perceptron) in Go. It walks through core concepts including neuron modeling, weight adjustment, error calculation, and the gradient descent optimization algorithm. The project is structured as part 1 of a multi-part educational series covering neural network fundamentals.