Learn by building a real perceptron on paper

A Reddit-linked blog post walks readers through manually training a single-layer perceptron using only pen, paper, addition, and multiplication. The exercise demonstrates weight updates, decision boundaries, and interpretability limits without abstraction. Ideal for engineers entering ML without formal coursework. No novel architecture, but a rare hands-on first-principles refresher.