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概要

tensorflow.jsでfizzbuzz問題やってみた。

サンプルコード

function fizzbuzz(n) {
    if (n % 15 == 0)
    {
        return [1, 0, 0, 0];
    }
    else if (n % 5 == 0)
    {
        return [0, 1, 0, 0];
    }
    else if (n % 3 == 0)
    {
        return [0, 0, 1, 0];
    }
    else
    {
        return [0, 0, 0, 1];
    }
}
function toarray(n) {
    var ary = new Array;
    for (var i = -1 ; i < 7; i++)
    {
        var s = 1;
        if (i > -1) s = 2 << i;
        var b = n & (s)
        if (b > 0)
        {
            ary.push(1.0);
        }
        else
        {
            ary.push(0.0);
        }
    }
    return ary;
};
function tofizz(i, f) {
    var str = "";
    if (f == 3)
    {
        str = i;
    }
    else if (f == 2)
    {
        str = "fizz";
    }
    else if (f == 1) 
    {
        str = "buzz";
    }
    else if (f == 0)
    {
        str = "fizzbuzz";
    }
    return str;
}
const model = tf.sequential();
model.add(tf.layers.dense({
    units: 40,
    activation: 'relu',
    inputShape: [8]
}));
model.add(tf.layers.dense({
    units: 4,
    activation: 'softmax'
}));
model.compile({
    optimizer: 'Adam',
    loss: 'categoricalCrossentropy',
    metrics: ['accuracy'],
});
const buffer = tf.buffer([100, 8]);
for (var i = 1; i < 101; i++) 
{
    var x = toarray(i);
    for (var j = 0; j < 8; j++)
    {
        buffer.set(x[j], i - 1, j);
    }
}
const xs = buffer.toTensor();
const buffer2 = tf.buffer([100, 4]);
for (i = 1; i < 101; i++) 
{
    x = fizzbuzz(i);
    for (j = 0; j < 4; j++)
    {
        buffer2.set(x[j], i - 1, j);
    }
}
const ys = buffer2.toTensor();
alert(xs);
alert(ys);
model.fit(xs, ys, {
    batchSize: 100, 
    epochs: 1000
}).then((d) => {
    var str = "loss = ";
    str += d.history.loss[0]; 
    for (i = 1; i < 101; i++)
    {
        str += "<br>" + i + " = ";
        var pre0 = model.predict(tf.tensor2d(toarray(i), [1, 8]));
        var f = pre0.argMax().dataSync();
        str += tofizz(i, f);
    }
    document.write(str);
});



成果物

以上。

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