Tensorflow.js tf.erf() Function
source link: https://www.geeksforgeeks.org/tensorflow-js-tf-erf-function/
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- 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 .erf() function is used to find the gause error function of the stated tensor input and is done elements wise.
Syntax :
tf.erf(x)
Parameters:
- x: It is the tensor input whose gause error function value is to be computed, and it can be of type tf.Tensor, or TypedArray, or Array.
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 gause error function 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 libraryimport * as tf from "@tensorflow/tfjs"// Defining tensor input elementsconst y = tf.tensor1d([1, 25, 16, 0]);// Calling erf() method and// printing outputy.erf().print();Output:
Tensor
[0.8427007, 1, 1, 0]Example 2: In this example, float type values are considered as tensor input and the parameter is passed directly to the erf function.
- Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs"// Defining float valuesvar val = [0.5, 1.5, .66];// Calling tensor1d methodconst y = tf.tensor1d(val);// Calling erf() methodvar res = tf.erf(y)// printing outputres.print();Output:
Tensor
[0.5204999, 0.9661053, 0.6493767]Reference: https://js.tensorflow.org/api/latest/#erf
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