Tensorflow.js tf.logicalAnd() Function
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
import * as tf from "@tensorflow/tfjs"
const a = tf.tensor1d([ true , false , false , true ], 'bool' );
const b = tf.tensor1d([ false , false , true , true ], 'bool' );
a.logicalAnd(b).print();
|
Output:
Tensor
[false, false, false, true]
Example 2:
Javascript
import * as tf from "@tensorflow/tfjs"
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
Last Updated :
10 May, 2021
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