ml-session/console.js

runTests = (label, network, tests) => {
  console.log(`--- ${label}`);
  for (test of tests) {
    console.log(`${label} test ${JSON.stringify(test)}: ${network.run(test)}`);
  }
}

netXOR = new brain.NeuralNetwork();
netXOR.train([
  { input: [0, 0], output: [0] },
  { input: [0, 1], output: [1] },
  { input: [1, 0], output: [1] },
  { input: [1, 1], output: [0] }
]);
runTests("XOR gate", netXOR, [
  [0,0],
  [0,1],
  [1,0],
  [1,1]
]);