Created
March 17, 2019 10:48
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| <!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> |
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