TensorFlow.js test

<!DOCTYPE html>

<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.11.2"></script>
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
  </style>
</head>

<body>
  <div id="output_field"></div>
  <script>
    async function learnLinear(){
      const model = tf.sequential();
      model.add(tf.layers.dense({units: 1, inputShape:[1]}));
      model.compile({
        loss: 'meanSquaredError',
        optimizer: 'sgd'
      });
      
      const xs = tf.tensor2d([-1, 0, 1, 2, 3, 4],[6,1]);
      const ys = tf.tensor2d([-3, -1, 1, 3, 5, 7],[6,1]);
      
      await model.fit(xs, ys, {epochs: 250});
      
      document.getElementById('output_field').innerText =
        model.predict(tf.tensor2d([20], [1,1]));
    }
    
    learnLinear();
    
    // Feel free to change or delete any of the code you see in this editor!
    var svg = d3.select("body").append("svg")
      .attr("width", 960)
      .attr("height", 500)

svg.append("text")
      .text("Edit the code below to change me!")
      .attr("y", 200)
      .attr("x", 120)
      .attr("font-size", 36)
      .attr("font-family", "monospace")

</script>
</body>

https://d3js.org/d3.v4.min.js

https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.11.2