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 .selu() function is used to find the scaled exponential linear and is done element wise.
Syntax:
tf.selu(x)
Where, x < 0 ? scale * alpha * (exp(x) – 1) : x
Parameters:
- x: It is the stated tensor input, and it can be of type tf.Tensor, TypedArray, or Array.
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, 76, 0, NaN, -4]); // Calling selu() method and // Printing output y.selu().print(); |
Output:
Tensor
[-1.1113307, 79.8532791, 0, NaN, -1.7258986]
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Defining tensor input var val = [8.5, .14, .22, 'a']; // Calling tensor1d method const y = tf.tensor1d(val); // Calling selu() method var res = tf.selu(y) // Printing output res.print(); |
Output:
Tensor
[8.9309587, 0.1470981, 0.2311542, NaN]
Reference: https://js.tensorflow.org/api/latest/#selu
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