Tensorflow.js tf.relu6() 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 .relu6() function is used to find rectified linear 6 i.e. min(max(x, 0), 6) and is done element wise.
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
import * as tf from "@tensorflow/tfjs"
const y = tf.tensor1d([1, 176, 0, NaN, -4]);
y.relu6().print();
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Output:
Tensor
[1, 6, 0, NaN, 0]
Example 2:
Javascript
import * as tf from "@tensorflow/tfjs"
var val = [9.5, .4, "abc" , null , 'z' ];
const y = tf.tensor1d(val);
var res = tf.relu6(y)
res.print();
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Output:
Tensor
[6, 0.4, NaN, 0, NaN]
Reference: https://js.tensorflow.org/api/latest/#relu6
Last Updated :
18 May, 2021
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