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October 25, 2022 02:50
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TesnorFlow.js Basic Example
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| <html> | |
| <head> | |
| <script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]"></script> | |
| </head> | |
| <body> | |
| <div id="output_field"></div> | |
| </body> | |
| <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: 500 | |
| }); | |
| document.getElementById('output_field').innerText = model.predict(tf.tensor2d([10], [1, 1])); | |
| } | |
| learnLinear() | |
| </script> | |
| </html> |
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