Neural Network

const fs = require("fs")
const Neuron = require("neuron")
const data = fs.readFileSync("data.txt")
const x = initInput(data)
const w1 = [-2, 3],
  w2 = [-2, 1],
  w3 = [-60, 94]
const v1 = -1,
  v2 = 0.5,
  v3 = -1
const neuron1 = new Neuron(w1, v1, f)
const neuron2 = new Neuron(w2, v2, f)
const neuron3 = new Neuron(w3, v3, f)

for (let i = 0; i < x.length; i++) {
  let z1 = neuron1.forward([x[i][0], x[i][1]])
  let z2 = neuron2.forward([x[i][0], x[i][1]])
  console.log(x[i], neuron3.forward([z1, z2]))
}

function f(u) {
  return u >= 0 ? 1 : 0
}

function initInput(data) {
  let lines = data.toString().split("\n"),
    input = []

  for (let i = 0; i < lines.length - 1; i++) {
    const inputs = lines[i].split(" ")
    input.push([parseInt(inputs[0]), parseInt(inputs[1])])
  }
  return input
}

$ cat data.txt
0 0
0 1
1 0
1 1

$ node example.js
[ 0, 0 ] 0
[ 0, 1 ] 1
[ 1, 0 ] 1
[ 1, 1 ] 0