// provide optional config object (or undefined). Defaults shown.
const config = {
    binaryThresh: 0.5,
    hiddenLayers: [3],     // array of ints for the sizes of the hidden layers in the network
    activation: 'sigmoid'  // supported activation types: ['sigmoid', 'relu', 'leaky-relu', 'tanh'],
    leakyReluAlpha: 0.01   // supported for activation type 'leaky-relu'
};

// create a simple feed forward neural network with backpropagation
const net = new brain.NeuralNetwork(config);

net.train([{input: [0, 0], output: [0]},
           {input: [0, 1], output: [1]},
           {input: [1, 0], output: [1]},
           {input: [1, 1], output: [0]}]);

const output = net.run([1, 0]);  // [0.987]