hristian-carabulea/tfjs-example.html

## tfjs-example.html
<!DOCTYPE html>
<html>
    <head>
            <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>
    </head>
    <body>
        <p id="prediction">Prediction(100):  </p>
        <script>
            async function run(){
            const model=tf.sequential();
            model.add(
                tf.layers.dense({
                    units:1,
                    inputShape:[1],
                    bias: true
                })
            );

            model.compile({
                loss:'meanSquaredError',
                optimizer: 'sgd',
                metrics: ['mse']
            });

            const xs = tf.tensor1d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]);
            const ys = tf.tensor1d([2, 5, 8, 12, 14, 18, 21, 23, 26, 29]);

            await model.fit(xs, ys, {epochs:100});
            document.getElementById('prediction').innerText+=
            model.predict(tf.tensor1d([100])).dataSync();

            }
            run();

        </script>
    </body>
</html>
	<!DOCTYPE html>
	<html>
	<head>
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>
	</head>
	<body>
	<p id="prediction">Prediction(100): </p>
	<script>
	async function run(){
	const model=tf.sequential();
	model.add(
	tf.layers.dense({
	units:1,
	inputShape:[1],
	bias: true
	})
	);

	model.compile({
	loss:'meanSquaredError',
	optimizer: 'sgd',
	metrics: ['mse']
	});

	const xs = tf.tensor1d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]);
	const ys = tf.tensor1d([2, 5, 8, 12, 14, 18, 21, 23, 26, 29]);

	await model.fit(xs, ys, {epochs:100});
	document.getElementById('prediction').innerText+=
	model.predict(tf.tensor1d([100])).dataSync();

	}
	run();

	</script>
	</body>
	</html>