What You’ll Build

You’ll build a tiny but complete learning machine: a single perceptron packaged as a reusable Rust crate with training, prediction, and example binaries. The model learns the AND and OR logic gates and reveals its limits on XOR, giving you a clear view of how simple decision-makers behave.

You’ll use the rand crate for realistic initialization and run examples like cargo run --example and to watch the perceptron improve in real time.

Learning Objectives

Build a configurable perceptron in Rust

Initialize weights and bias with rand

Compute predictions with a step activation

Train with epochs and learning rate

Evaluate on AND, OR, XOR tasks

Implement early stopping using tolerance

Prerequisites

Basic Rust programming knowledge

Rust and cargo installed

Basic command-line experience

Understanding of binary classification

Comfort with arrays and slices

Course Modules

1

Configurable Perceptron Weights

2

Perceptron Training Logic

3

Prediction Method

4

Training Logic Gates

5

Training Logical OR

6

Perceptron Limits with XOR