​

let training_data = [{

  inputs: [1, 1],

  targets: [0]

}, {

  inputs: [0, 0],

  targets: [0]

}, {

  inputs: [1, 0],

  targets: [1]

}, {

  inputs: [0, 1],

  targets: [1]

}];

​

function setup() {

  createCanvas(400, 400);

  let nn = new NeuralNetwork(2, 2, 1);

  for(let i = 0; i < 1000; i++) {

    let data = random(training_data);

    nn.train(data.inputs, data.targets);

  }

  nn.weights_ih.print();

  nn.weights_ho.print();

  nn.bias_h.print();

  nn.bias_o.print();

  console.log(nn.feedforward([0,1]));

  console.log(nn.feedforward([0, 0]));

  console.log(nn.feedforward([1, 0]));

  console.log(nn.feedforward([1, 1]));

}

​

function draw() {

  // background(220);

}