RUST AI Core Intermediate

Single-Layer Perceptron in Rust

A straightforward guide to building a perceptron system that learns to perform basic logical operations such as AND and OR.

Premium · 1h 54m · 6 ch

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What you'll build

We'll build a tiny but complete learning machine: a single-layer perceptron packaged as a reusable Rust library crate. Starting from an empty project, we'll define the data structure, initialize random weights, implement the forward pass and training loop, then verify everything with integration tests for AND, OR, and XOR logic gates.

Along the way we'll see how the perceptron learning rule adjusts weights, why convergence is guaranteed for linearly separable problems, and what happens when a problem (XOR) isn't linearly separable.

Learning objectives

✓Set up a Rust library crate from scratch

✓Define a generic perceptron struct with const generics

✓Initialize weights and bias randomly with rand

✓Implement the forward pass with weighted sum and step activation

✓Implement the perceptron learning rule with early stopping

✓Write integration tests for AND, OR, and XOR logic gates

✓Understand the linear separability limitation of single-layer perceptrons

Prerequisites

▸Basic Rust syntax (structs, impl blocks, generics)

▸Rust toolchain and cargo installed

▸Comfort with arrays, slices, and iterators

▸Basic understanding of binary classification

Course curriculum

1 Configurable Perceptron Weights

—Initialize Perceptron Library

—Add Perceptron Skeleton

—Randomize Initial Weights

2 Perceptron Training Logic

—Add Training Loop

—Compute And Train Perceptron

—Configure Learning Rate

—Stop Training Early

3 Prediction Method

—Add Prediction Method

4 Training Logic Gates

—Train AND Perceptron Example

5 Training Logical OR

—Train OR Perceptron

6 Perceptron Limits with XOR

—Train And Test XOR

Technologies

Rust Perceptron Machine Learning Binary Classification Activation Function Learning Rate Weights and Bias Linear Separability Const Generics rand

FAQ

Is this a video course?

No. You work through the project step by step in your browser, and the reference code for each step saves to your disk — yours to run and keep locally.

Do I need to install anything?

No. The playground runs entirely in your browser — no toolchain or local setup required.

Can I try it before subscribing?

Yes. Preview steps are available without a subscription so you can see the format and quality first.

What do I get with full access?

Every step unlocked, the Workbench app, a snapshot for each step, jump-to-any-step navigation, and all new playground releases.

Does it work with an AI agent like Claude or Codex?

Yes. You can work through a playground solo or alongside an AI agent.

Is there reference code?

Yes. Every step has a complete reference solution you can compare against.