Related Articles

# Tensorflow.js tf.relu6() Function

• Last Updated : 18 May, 2021

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 .relu6() function is used to find rectified linear 6 i.e. min(max(x, 0), 6) and is done element wise.

Hey geek! The constant emerging technologies in the world of web development always keeps the excitement for this subject through the roof. But before you tackle the big projects, we suggest you start by learning the basics. Kickstart your web development journey by learning JS concepts with our JavaScript Course. Now at it's lowest price ever!

Syntax :

`tf.relu6(x)`

Parameters:

• x: It is the stated tensor input, and it can be of type tf.Tensor, TypedArray, or Array. Moreover, if the stated datatype is of type Boolean then the output datatype will be of type int32.

Return Value: It returns the tf.Tensor object.

Example 1:

## Javascript

 `// Importing the tensorflow.js library``import * as tf from ``"@tensorflow/tfjs"`` ` `// Defining tensor input elements``const y = tf.tensor1d([1, 176, 0, NaN, -4]);`` ` `// Calling relu6() method and``// Printing output``y.relu6().print();`

Output:

```Tensor
[1, 6, 0, NaN, 0]```

Example 2:

## Javascript

 `// Importing the tensorflow.js library ``import * as tf from ``"@tensorflow/tfjs"`` ` `// Defining tensor input``var` `val = [9.5, .4, ``"abc"``, ``null``, ``'z'``];`` ` `// Calling tensor1d method``const y = tf.tensor1d(val);`` ` `// Calling relu6() method``var` `res = tf.relu6(y)`` ` `// Printing output``res.print();`

Output:

```Tensor
[6, 0.4, NaN, 0, NaN]```
My Personal Notes arrow_drop_up