This is repository for testing tensorflow js running on browser. if you want running this file, please make sure to check you have been install several modules.
- Install module tensorflow JS on NPM or you can attach script tags on your pages sites. if you want install using NPM you can follow this ways :
npm install @tensorflow/tfjs
and if you want install with ways embed script tags you can follow this ways
<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.13.3/dist/tf.min.js"> </script>
<!-- Place your code in the script tag below. You can also use an external .js file -->
<script>
// Notice there is no 'import' statement. 'tf' is available on the index-page
// because of the script tag above.
// Define a model for linear regression.
const model = tf.sequential();
model.add(tf.layers.dense({units: 1, inputShape: [1]}));
// Prepare the model for training: Specify the loss and the optimizer.
model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});
// Generate some synthetic data for training.
const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
// Train the model using the data.
model.fit(xs, ys, {epochs: 10}).then(() => {
// Use the model to do inference on a data point the model hasn't seen before:
// Open the browser devtools to see the output
model.predict(tf.tensor2d([5], [1, 1])).print();
});
</script>
</head>
<body>
</body>
</html>- Install module bundle package (webpack or parcel) choose one. for installing parcel you can typing this command on terminal : installing global
npm install -g parcel-bundler
installing per project
npm install parcel-bundler --save-dev
Running on your server
parcel index.html