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 tf.initializers.zeros() function is an initializer that is used to produce tensors that are initialized to zero.
Syntax:
tf.initializers.zeros()
Parameters: This method does not accept any parameter.
Return Value: It returns zeros.
Example 1:
Javascript
// Importing the tensorflow.Js library import * as tf from "@tensorflow/tfjs"Â Â // Calling tf.initializers.zeros() function const initializer = tf.initializers.zeros(); Â Â // Printing output console.log(JSON.stringify(+initializer)); |
Output:
null
Example 2:
Javascript
// Importing the tensorflow.Js library import * as tf from "@tensorflow/tfjs"Â Â // Calling tf.initializers.zeros() function const initializer = tf.initializers.zeros(); Â Â // Defining shape and dtype w.r.t initializer const x = initializer.shape = [ [1, 2], [3, 5]]; const y = initializer.dtype = 'int32'; Â Â // Printing output console.log(initializer); console.log(JSON.stringify(+initializer)); |
Output:
{
"shape": [
[
1,
2
],
[
3,
5
]
],
"dtype": "int32"
}
null
Reference: https://js.tensorflow.org/api/latest/#initializers.zeros
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