# Tensorflow.js tf.logicalNot() Function

• Last Updated : 10 May, 2021

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.logicalNot() function is used to return a tensor of Boolean values for the result of element-wise NOT operation on the specified tensor of Boolean values.

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Syntax:

`tf.logicalNot(a, b)`

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

• a: The first input tensor. It should have a Boolean datatype.
• b: The second input tensor. It must have a Boolean datatype.

Return Value: It returns a tensor of Boolean values for the result of element-wise NOT operation on the specified tensor of Boolean values.

Example 1:

## Javascript

 `// Importing the tensorflow.js library``import * as tf from ``"@tensorflow/tfjs"`` ` `// Initializing some tensors of boolean values``const a = tf.tensor1d([``false``, ``true``], ``'bool'``);``const b = tf.tensor1d([``true``, ``false``], ``'bool'``);`` ` `// Calling the .logicalNot() function``a.logicalNot().print();``b.logicalNot().print();`

Output:

```Tensor
[true, false]
Tensor
[false, true]```

Example 2:

## Javascript

 `// Importing the tensorflow.js library``import * as tf from ``"@tensorflow/tfjs"`` ` `// Using tensors of boolean values as``// the parameters of .logicalNot() function``tf.tensor1d([``false``, ``false``], ``'bool'``).logicalNot().print();``tf.tensor1d([``true``, ``true``], ``'bool'``).logicalNot().print();`

Output:

```Tensor
[true, true]
Tensor
[false, false]```

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