Testing a Perceptron
- A Perceptron must be Tested and Evaluated
- A Perceptron must be tested against Real Values
Test Your Library
Generate new unknown points and check if your Perceptron can guess the right answers:
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);
}
Count the Errors
Add a counter to count the number of errors:
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++}
}
Tune the Perceptron
How can you tune the Perceptron?
Here are some suggestions:
- Adjust the learning rate
- Increase the number of training data
- Increase the number of training iterations
