Tensorflow.js tf.logicalAnd() Function

0 0 1 minute read

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

Whether you’re preparing for your first job interview or aiming to upskill in this ever-evolving tech landscape, zambiatek Courses are your key to success. We provide top-quality content at affordable prices, all geared towards accelerating your growth in a time-bound manner. Join the millions we’ve already empowered, and we’re here to do the same for you. Don’t miss out – check it out now!