// Daniel Shiffman

// http://natureofcode.com

​

let network

​

function setup() {

  createCanvas(640, 360);

  // Create the Network object

  network = new Network(width/2, height/2);

​

  let layers = 3;

  let inputs = 2;

​

  let output = new Neuron(250, 0);

  for (let i = 0; i < layers; i++) {

    for (let j = 0; j < inputs; j++) {

      let x = map(i, 0, layers, -280, 280);

      let y = map(j, 0, inputs-1, -75, 75);

      let n = new Neuron(x, y);

      if (i > 0) {

        for (let k = 0; k < inputs; k++) {

          let prev = network.neurons[network.neurons.length-inputs+k-j]; 

          network.connect(prev, n, random(0.0000001,1));

        }

      }

      if (i == layers-1) {

        network.connect(n, output, random(0.0000001, 1));

      }

      network.addNeuron(n);

    }

  } 

  network.addNeuron(output);

}

​

function draw() {

  background(220);

  network.update();

  network.display();

  if (frameCount % 30 == 0) {

    network.feedforward(random(1), random(1));

  }

}

​