Tensorflow.js tf.logicalAnd() Function Last Updated : 10 May, 2021 Comments Improve Suggest changes Like Article Like Report 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 Comment More infoAdvertise with us Next Article Tensorflow.js tf.logicalAnd() Function K Kanchan_Ray Follow Improve Article Tags : JavaScript Web Technologies Tensorflow.js Similar Reads Tensorflow.js tf.logicalNot() 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.logicalNot() function is used to return a tensor of Boolean values for the result of element-wise NOT operation on the specifie 1 min read Tensorflow.js tf.logicalOr() 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.logicalOr() function is used to return a tensor of Boolean values for the result of element-wise OR operation on the two specif 1 min read Tensorflow.js tf.logicalXor() 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.logicalXor() function is used to return a tensor of Boolean values for the result of element-wise XOR operation on the two spec 1 min read Tensorflow.js tf.scalar() 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 .scalar() function is used to create a scalar type of tensor means. A scalar is a zero-dimension array and is also called a rank-0 2 min read Tensorflow.js tf.mod() 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.mod() function returns element-wise remainder of division. Operation: floor(x / y) * y + mod(x, y) = x. Note: It supports broad 2 min read Like