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.
The tf.layers.repeatVector() function is used to repeat the input n number of times in a new specified dimension. It is an inbuilt function of TensorFlow’s.js library.
Syntax:
tf.layers.repeatVector(n)
Parameters:
- n: Integer, specifying the number of times the input will be repeated.
Return value: It returns the tf.layers.Layer
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Create a new model const model = tf.sequential(); // Add repeatVector layer to the model model.add(tf.layers.repeatVector({ n: 5, inputShape: [2]} )); const x = tf.tensor2d([[10, 15]]); console.log(model.predict(x).shape) |
Output:
1, 5, 2
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Create a new model const model = tf.sequential(); // Add repeatVector layer to the model model.add(tf.layers.repeatVector( {n: 8, inputShape: [2]} )); const x = tf.tensor2d([[0,1]]); model.predict(x).print(); |
Output:
Tensor
[[[0, 1],
[0, 1],
[0, 1],
[0, 1],
[0, 1],
[0, 1],
[0, 1],
[0, 1]]]
Reference: https://js.tensorflow.org/api/latest/#layers.repeatVector
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