A simple neural network to solve the XOR Equation using Synaptic.js written in Javascript.

Neural Network in Synaptic.js

const { Layer, Network } = window.synaptic;
var inputLayer = new Layer(2);
var hiddenLayer = new Layer(3);
var outputLayer = new Layer(1);

inputLayer.project(hiddenLayer);
hiddenLayer.project(outputLayer);
var myNetwork = new Network({
 input: inputLayer,
 hidden: [hiddenLayer],
 output: outputLayer
});

// train the network - learn XOR
var learningRate = .3;
for (var i = 0; i < 20000; i++) {
  // 0,0 => 0
  myNetwork.activate([0,0]);
  myNetwork.propagate(learningRate, [0]);
  // 0,1 => 1
  myNetwork.activate([0,1]);
  myNetwork.propagate(learningRate, [1]);
  // 1,0 => 1
  myNetwork.activate([1,0]);
  myNetwork.propagate(learningRate, [1]);
  // 1,1 => 0
  myNetwork.activate([1,1]);
  myNetwork.propagate(learningRate, [0]);
}

//Test it out in the console

console.log(myNetwork.activate([0,0])); //Expect value close to 0
console.log(myNetwork.activate([0,1])); //Expect value close to 1
console.log(myNetwork.activate([1,0])); //Expect value close to 1
console.log(myNetwork.activate([1,1])); // Expect value close to 0