Tensorflow tf.sub() Function Last Updated : 07 Jun, 2022 Comments Improve Suggest changes Like Article Like Report The tf.sub() function returns the subtraction of two tf.Tensor objects element wise. The tf.Tensor object represents the multidimensional array of numbers. Syntax: tf.sub( a, b ) Parameters: a: It contains the first tf.Tensor object. The value of this parameter can be tf.TensorTypedArray|Array.b: It contains the second tf.Tensor object that subtract from first tf.Tensor object. The value of this parameter can be (tf.Tensor|TypedArray|Array). The type of this parameter is same as type of a. Return Value: This function returns the tf.Tensor object. Example 1: JavaScript // Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Declare the Tensor array const arr1 = tf.tensor1d([10, 20, 30, 40, 50]); const arr2 = tf.tensor1d([5, 10, 15, 20, 25]); // Use sub() function to subtract // two Tensor objects arr1.sub(arr2).print(); Output: Tensor [5, 10, 15, 20, 25] Example 2: JavaScript // Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Declare the Tensor array const arr1 = tf.tensor1d([30, 40, 50]); const arr2 = tf.tensor1d([5, 10, 15, 20, 25]); // Use sub() function to subtract // two Tensor objects arr1.sub(arr2).print(); Output: An error occurred on line: 7 Operands could not be broadcast together with shapes 3 and 5. Example 3: JavaScript // Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Declare the Tensor array const arr = tf.tensor1d([15, 10, 25, 20, 35]); // Declare a number const num = tf.scalar(30); // Use sub() function to subtract number // from Tensor object arr.sub(num).print(); Output:Â Tensor [-15, -20, -5, -10, 5] Reference: https://js.tensorflow.org/api/latest/#sub Comment More infoAdvertise with us Next Article Tensorflow tf.sub() Function A ashokjaiswal Follow Improve Article Tags : JavaScript Web Technologies Tensorflow.js Similar Reads Tensorflow tf.mul() Function The tf.mul() function returns the multiplication of two tf.Tensor objects element wise. The tf.Tensor object represents the multidimensional array of numbers. Syntax: tf.mul( a, b ) Parameters: a: It contains the first tf.Tensor object that multiplied by second tf.Tensor object element-wise. The val 2 min read Tensorflow.js tf.sum() 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.sum() function is used to calculate sum of the elements of a specified Tensor across its dimension. It reduces the given input 2 min read Tensorflow.js tf.prelu() Function Tensorflow.js is an open-source library that is developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .prelu() function is used to find leaky rectified linear of the stated tensor input along with parametric alphas an 2 min read Tensorflow.js tf.div() 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.div() function is used to divides the two specified Tensors element-wise. It supports broadcasting. Syntax: tf.div (a, b) Param 2 min read Tensorflow.js tf.min() 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.min() function is used to calculate the minimum value from the specified Tensor across its dimension. It reduces the given inpu 2 min read Like