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neural-network-colors.js
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neural-network-colors.js
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// input: { red, green, blue }
// ouput: { light, neutral, dark }
const colors = [
{ green: 0.2, blue: 0.4 },
{ green: 0.4, blue: 0.6 },
{ red: 0.2, green: 0.8, blue: 0.8 },
{ green: 1, blue: 1 },
{ red: 0.8, green: 1, blue: 1 },
{ red: 1, green: 1, blue: 1 },
{ red: 1, green: 0.8, blue: 0.8 },
{ red: 1, green: 0.6, blue: 0.6 },
{ red: 1, green: 0.4, blue: 0.4 },
{ red: 1, green: 0.31, blue: 0.31 },
{ red: 0.8 },
{ red: 0.6, green: 0.2, blue: 0.2 }
];
const brightnesses = [
{ dark: 0.8 },
{ neutral: 0.8 },
{ light: 0.7 },
{ light: 0.8 },
{ light: 0.9 },
{ light: 1 },
{ light: 0.8 },
{ neutral: 0.7, light: 0.5 },
{ dark: 0.5, neutral: 0.5 },
{ dark: 0.6, neutral: 0.3 },
{ dark: 0.85 },
{ dark: 0.9 }
];
const trainingData = [];
for (let i = 0; i < colors.length; i++) {
trainingData.push({
input: colors[i],
output: brightnesses[i],
});
}
const net = new brain.NeuralNetwork({
hiddenLayers: [3],
})
const stats = net.train(trainingData, {
// iterations: 20000,
// log: (error) => console.log(error),
// logPeriod: 100,
})
console.log(net.run({
red: 1,
green: 1,
blue: 1
}));
console.log(net.run({
red: 0.9,
}));