robertleeplummerjr (Robert Plummer)

    // 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] }
    ];

Course Introduction: Neural Networks in JavaScript

Robert Plummer1:416 months ago

    // 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 })));

Neural Networks Example: Recommendation engine

Robert Plummer4:546 months ago

    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 Networks Example: Simple Reinforcement Learning

Robert Plummer3:026 months ago

    // 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] }
    ];

Course Introduction: Neural Networks in JavaScript

Robert Plummer1:416 months ago

    // 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] }
    ];

Building your first neural network in JavaScript

Robert Plummer2:4210 months ago

    // 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] }
    ];

How Neural Networks Learn - Propagation

Robert Plummer3:2310 months ago

    // 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
    /*

How Neural Networks Learn - Structure

Robert Plummer2:0810 months ago

robertleeplummerjr (Robert Plummer)

Courses

Neural networks in JavaScript