# Tensorflow.js tf.cos() Function

• Last Updated : 18 May, 2021

Tensorflow.js is an open-source library which is being developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment.

The .cos() function is used to find the cosine value of the stated tensor input and is done element wise.

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Syntax :

`tf.cos(x)`

Parameters:

• x: It is the tensor input element whose cos value is to be computed.

Return Value: It returns the tf.Tensor object.

Example 1: In this example, we are defining an input tensor of integer type and then printing the cos value of it. For creating an input tensor we are utilizing the .tensor1d() method and in order to print the output we are using the .print() method.

## Javascript

 `// Importing the tensorflow.js library ``import * as tf from ``"@tensorflow/tfjs"`` ` `// Defining tensor input elements``const y = tf.tensor1d([1, 4, 0, 11]);`` ` `// Calling cos() method and``// printing output``y.cos().print();`

Output:

```Tensor
[0.5403116, -0.6536576, 1, 0.0044258]```

Example 2: In this example, float type values are considered as tensor input and the parameter is passed directly to the cos function.

## Javascript

 `// Importing the tensorflow.js library ``import * as tf from ``"@tensorflow/tfjs"`` ` `// Defining float values``var` `val = [1.5, .42, .5];`` ` `// Calling tensor1d method``const y = tf.tensor1d(val);`` ` `// Calling cos() method``var` `res = tf.cos(y)`` ` `// Printing output``res.print();`

Output:

```Tensor
[0.0707384, 0.9131125, 0.8775977]```

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