Perceptron Test: Explained

• A perceptron needs to be inspected and evaluated.
• A perceptron needs to be tested with real values.

Check your library

Explore perceptron test, including the key concepts, practical examples, important considerations, and useful guidance for making better decisions.

For example:

// Test Against Unknown Data const counter = 500; for (let i = 0; i < counter; i++) { let x = Math.random() * xMax; let y = Math.random() * yMax; let guess = ptron.activate([x, y, ptron.bias]); let color = "black"; if (guess == 0) color = "blue"; plotter.plotPoint(x, y, color); }

Error counting

Add a tool to count the number of errors:

For example:

// Test Against Unknown Data const counter = 500; let errors = 0; for (let i = 0; i < counter; i++) { let x = Math.random() * xMax; let y = Math.random() * yMax; let guess = ptron.activate([x, y, ptron.bias]); let color = "black"; if (guess == 0) color = "blue"; plotter.plotPoint(x, y, color); if ((y > f(x) && guess == 0) || (y < f(x) && guess == 1)) {errors++} }

Perceptron adjustment

How do you tune a Perceptron? Here are some suggestions:

• Adjust the learning pace.
• Increase the amount of training data.
• Increase the number of training repetitions.