Tensorflow.js is an open-source library developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment.
The .acos() function is used to find the acos of the stated tensor element input.
Syntax:
tf.acos(x)
Parameters:
- x: It is the tensor input element whose acos 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 acos 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 acos() method and // Printing output y.acos().print(); |
Output:
Tensor
[0, NaN, 1.5707288, NaN]
Example 2: In this example, float type values are considered as tensor input and the parameter is passed directly to the acos function.
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Defining float values var val = [.5, .4, .2]; // Calling tensor1d method const y = tf.tensor1d(val); // Calling acos() method var res = tf.acos(y) // Printing output res.print(); |
Output:
Tensor
[1.0471513, 1.1592351, 1.3694812]
Reference: https://js.tensorflow.org/api/latest/#acos
