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"Â Â // 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'); Â Â // 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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