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const net = new brain.NeuralNetwork({ hiddenLayers: [2, 2] });
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
];
net.train(trainingData, {
log: (error) => console.log(error)
});
// 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
/* // 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] }
];
Learn Neural Networks
// 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
/* const net = new brain.NeuralNetwork({ hiddenLayers: [2, 2] });
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
];
net.train(trainingData, {
log: (error) => console.log(error)
});