Tensorflow.js tf.randomUniform() Function

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.randomUniform() function is used to create a tf.Tensor with values sampled from a uniform distribution.

Syntax:

tf.randomUniform (shape, minval, maxval, dtype, seed)

Parameter: This function accepts five parameters which are illustrated below:

• shape: An array of integers defining the shape of the output tensor.
• minval: It is an optional argument. The lower bound of the uniform distribution range. The default value is 0.
• maxval: It is also an optional argument. It is the upper bound of the steady distribution range. It is not included in the range. The default value is 1.
• dtype: The data type of the output. The values of datatype possible are ‘float32’ , ‘int32’, ‘ ‘bool’ , ‘complex64’ , ‘string’. It is also an optional argument. The default value is ‘float32’
• seed: It is an optional argument. The seed for the random number generator.

Return: It returns tf.Tensor.

Example 1:

Javascript

// Importting the tensorflow.js library
import * as tf from "@tensorflow/tfjs"

// Creating the tensor with values sampled
// from a uniform distribution
const x=tf.randomUniform([5]);

// Printing the tensor
x.print();

Output:

Tensor
    [0.0008758, 0.3491586, 0.3466536, 0.9614096, 0.7892056]

Example 2:

Javascript

// Importting the tensorflow.js library
import * as tf from "@tensorflow/tfjs"

// Creating the tensor with values sampled
// from a normal distribution
const x=tf.randomUniform([2, 2]);

// Printing the tensor
x.print();

Output:

Tensor
    [[0.7312108, 0.5003704],
    [0.8552292, 0.082417 ]]

Example 3:

Javascript

// Importting the tensorflow.js library
import * as tf from "@tensorflow/tfjs"

// Creating the tensor with values sampled
// from a normal distribution
const x=tf.randomUniform([5], 10, 15, 'int32', 0);

// Printing the tensor
x.print();

Output:

Tensor
    [12, 14, 10, 13, 12]

Reference: https://js.tensorflow.org/api/latest/#randomUniform