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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]

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




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