Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or in Node.js.
The tf.layers.Layer.getWeights() function is used to get the values of the weights of a tensor.
Syntax:
getWeights( trainableOnly? )
Parameters:
- trainableOnly(boolean): If true, the function will return only the values of weights that are trainable.
Return Value: It returns a tf.Tensor
Example 1:
Javascript
// Creating a model const model = tf.sequential(); // Adding layers model.add(tf.layers.dense({units: 2, inputShape: [5]})); model.add(tf.layers.dense({units: 3})); model.compile({loss: 'categoricalCrossentropy', optimizer: 'sgd'});
// Printing the weights of the layers model.layers[0].getWeights()[0].print() model.layers[0].getWeights()[1].print() |
Output:
Tensor
[[-0.4756567, 0.2925433 ],
[0.3505997 , -0.5043278],
[0.5344347 , 0.2662918 ],
[-0.1357223, 0.2435055 ],
[-0.6059403, 0.1990891 ]]
Tensor
[0, 0]Example 2:
Javascript
const tf = require("@tensorflow/tfjs")
// Creating a model const model = tf.sequential(); // Adding layers model.add(tf.layers.dense({units: 1, inputShape: [10]})); model.add(tf.layers.dense({units: 3})); // Setting new weights model.layers[0].setWeights([tf.zeros([10, 1]), tf.ones([1])]); model.compile({loss: 'categoricalCrossentropy', optimizer: 'sgd'});
// Printing the weights of the layers model.layers[0].getWeights()[0].print() model.layers[0].getWeights()[1].print() |
Output:
Tensor
[[0],
[0],
[0],
[0],
[0],
[0],
[0],
[0],
[0],
[0]]
Tensor
[1]Reference: https://js.tensorflow.org/api/latest/#tf.layers.Layer.getWeights