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Tensorflow.js tf.logicalAnd() Function

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  • Last Updated : 10 May, 2021
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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.logicalAnd() function is used to return a tensor of Boolean values for the result of element-wise AND operation of two specified tensors of Boolean values.

Syntax:

tf.logicalAnd(a, b)

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

  • a: The first input tensor. It should have a Boolean data type.
  • b: The second input tensor. It should have a Boolean data type.

Return Value: It returns a tensor of Boolean values for the result of element-wise AND operation of two specified tensors of Boolean values.

Example 1:

Javascript




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


Output:

Tensor
   [false, false, false, true]

Example 2:

Javascript




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


Output:

Tensor
    [true, false, false, true]

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

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