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plunkerでtensorflow.js その20

概要

plunkerでtensorflow.jsやってみた。
callbacks使ってみた。
catを学習してみた。

写真

image.png

サンプルコード

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";

tf.setBackend('cpu');
const model = tf.sequential();
model.add(tf.layers.dense({
    units: 20,
    activation: 'tanh',
    inputShape: [2]
}));
model.add(tf.layers.dense({
    units: 20,
    activation: 'tanh',
}));
model.add(tf.layers.dense({
    units: 20,
    activation: 'tanh',
}));
model.add(tf.layers.dense({
    units: 3,
    activation: 'tanh'
}));
model.compile({
    optimizer: 'adam',
    loss: 'meanSquaredError'
});
var w = 224;
var h = 224;
var ori_canvas, 
    nn_canvas, 
    ori_ctx, 
    nn_ctx, 
    p;
ori_canvas = document.getElementById('original');
nn_canvas = document.getElementById('net');
ori_canvas.width = w;
ori_canvas.height = h;
nn_canvas.width = w;
nn_canvas.height = h;
ori_ctx = ori_canvas.getContext("2d");
nn_ctx = nn_canvas.getContext("2d");
var image = new Image();
image.onload = function() {
  ori_ctx.drawImage(image, 0, 0, w, h);
  p = ori_ctx.getImageData(0, 0, w, h).data;
  var xd = [];
  var yd = [];
  for (var x = 0; x < w; x++)
  {
    for (var y = 0; y < h; y++)
        {
            var ix = ((w * y) + x) * 4;
            var r = [p[ix] / 255.0, p[ix + 1] / 255.0, p[ix + 2] / 255.0];
            var v0 = (x - w / 2) / w;
            var v1 = (y - h / 2) / h;
            xd.push([v0, v1]);
            yd.push(r);
        }
  }
  var xs = tf.tensor2d(xd);
  var ys = tf.tensor2d(yd);
  model.fit(xs, ys, {
      batchSize: 30000,
      epochs: 2000,
      callbacks: {
          onEpochEnd: (epoch, logs) => {
              if (epoch % 100 == 0) 
              {
                var pre = model.predict(xs);
              var f = pre.dataSync();
            var imageData = new ImageData(w, h);
            var k = 0;
            for (var i = 0; i < w * h * 4; i = i + 4) 
            {
                imageData.data[i + 0] = f[k] * 255.0;
                k++;
                imageData.data[i + 1] = f[k] * 255.0;
                k++;
                imageData.data[i + 2] = f[k] * 255.0;
                k++;
                imageData.data[i + 3] = 255;
            }
            nn_ctx.putImageData(imageData, 0, 0);
              }
          },
      }
  });
}
image.src = data;

成果物

以上。

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