Tensorflow.js tf.notEqual() 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.notEqual() function is used to return a tensor of Boolean values i.e. true if the values of first tensor is not equal to the second one else returns false. It supports broadcasting.

Syntax:  

tf.notEqual(a, b)

Parameters: This function accepts two parameters which are illustrated below:

• a: The first input tensor.
• b: The second input tensor. It should have same data type as “a”.

Return Value: It returns a tensor of Boolean values i.e. true if the values of first tensor is not equal to the second one else returns false.

Example 1:

Javascript

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

// Initializing some tensors
const a = tf.tensor1d([1, 2, 3, 4]);
const b = tf.tensor1d([1, 4, 3, 4]);

// Calling the .notEqual() function
a.notEqual(b).print();

Output:

Tensor
   [false, true, false, false]

Example 2:

Javascript

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

// Using tensors of some values as
// the parameters of .notEqual() function
tf.tensor1d([0.1, 2.06, 2.1, 3.0]).notEqual(
tf.tensor1d([.1, 2.6, 2.0, 3])).print();

Output:

Tensor
   [false, true, true, false]

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

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