luiscarbonell

const uid = require("cuid");
const Neuron = require("./neuron");

function Group() {
  this.id = uid();
  
  this.neurons = size == undefined ? [] : Array.from({ length: size }, function() {
    return new Neuron(bias);
  });
  

luiscarbonell

const uid = require("cuid");
const Neuron = require("./neuron");

function Group(size, bias) {
  this.id = uid();
  
  this.neurons = size == undefined ? [] : Array.from({ length: size }, function() {
    return new Neuron(bias);
  });
  

luiscarbonell

const uid = require("cuid");
const Neuron = require("./neuron");

/**
 * A `Group` is an abstraction of `Neuron` and a tool for creating and manipulating a group of neurons - with `Group` we can create neural network layers and and build networks faster than neuron-by-neuron construction.
 *
 * @constructs Group
 *
 * @param {number} [size]
 * @param {number} [bias]

luiscarbonell

// Dependencies here...

function Network() {
  // Code here...
}

module.exports = Network;

luiscarbonell

const uid = require("cuid");
const Group = require("./group");

function Network() {
  // Code here...
}

module.exports = Network;

luiscarbonell

const uid = require("cuid");
const Group = require("./group");

function Network(sizes, biases, weights) {
  let self = this;
  
  this.id = uid();
  
  this.groups = sizes == undefined ? [] : sizes.map(function(size, index) {
    if(biases == undefined) return new Group(size);

luiscarbonell

const uid = require("cuid");
const Group = require("./group");

function Network(sizes, biases, weights) {
  let self = this;
  
  this.id = uid();
  
  this.groups = sizes == undefined ? [] : sizes.map(function(size, index) {

luiscarbonell

const Neuron = require("./neuron")

// AND Logic Gate
const dataset = [
  { inputs: [0,0], outputs: [0] },
  { inputs: [0,1], outputs: [0] },
  { inputs: [1,0], outputs: [0] },
  { inputs: [1,1], outputs: [1] }
]

luiscarbonell

const Group = require("./group")

// AND Logic Gate
const dataset = [
  { inputs: [0,0], outputs: [0] },
  { inputs: [0,1], outputs: [0] },
  { inputs: [1,0], outputs: [0] },
  { inputs: [1,1], outputs: [1] }
]

luiscarbonell

const Network = require("./network");

// AND Logic Gate
const dataset = [
  { inputs: [0,0], outputs: [0] },
  { inputs: [0,1], outputs: [0] },
  { inputs: [1,0], outputs: [0] },
  { inputs: [1,1], outputs: [1] }
]