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// input 0 0, output 0
// input 0 1, output 1
// input 1 0, output 1
// input 1 1, output 0
const net = new brain.NeuralNetwork({ hiddenLayers: [3] });
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
];
// color preference
const trainingData = [
{ input: { blue: 1 }, output: [1] },
{ input: { red: 1 }, output: [1] },
{ input: { black: 1 }, output: [0] },
{ input: { green: 1 }, output: [0] },
{ input: { brown: 1 }, output: [0] },
];
const net = new brain.NeuralNetwork();
net.train(trainingData);
console.log('before preference change');
console.log(Array.from(net.run({ blue: 1 }))); const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
// { input: [1, 0], output: [1] },
// { input: [1, 1], output: [0] }
];
const net = new brain.NeuralNetwork({ hiddenLayers: [3] });
net.train(trainingData);
console.log('before reinforcement');
console.log(Array.from(net.run([0, 0])));
console.log(Array.from(net.run([1, 0])));Neural Nets in JavaScript and Brain.js
// input 0 0, output 0
// input 0 1, output 1
// input 1 0, output 1
// input 1 1, output 0
const net = new brain.NeuralNetwork({ hiddenLayers: [3] });
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
];
// input 0 0, output 0
// input 0 1, output 1
// input 1 0, output 1
// input 1 1, output 0
const net = new brain.NeuralNetwork({ hiddenLayers: [3] });
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
];
// input 0 0, output 0
// input 0 1, output 1
// input 1 0, output 1
// input 1 1, output 0
const net = new brain.NeuralNetwork({ hiddenLayers: [3] });
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
];
// inputs & outputs
(inputs) => outputs;
// random values
Math.random();
// activation "relu"
function relu(value) {
return value < 0 ? 0 : value;
}
// bonus material
// https://en.wikipedia.org/wiki/Activation_function
/*