Tensorflow.js tf.zeros() Function

Tensorflow.js tf.initializers.zeros() Function

Last Updated : 25 Jul, 2021

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"
  
// Calling tf.initializers.zeros() function 
const initializer = tf.initializers.zeros(); 
  
// Printing output 
console.log(JSON.stringify(+initializer));

Output:

null

Example 2:

Javascript

// Importing the tensorflow.Js library 
import * as tf from "@tensorflow/tfjs"
  
// Calling tf.initializers.zeros() function 
const initializer = tf.initializers.zeros(); 
  
// Defining shape and dtype w.r.t initializer 
const x = initializer.shape = [ [1, 2], [3, 5]]; 
const y = initializer.dtype = 'int32'; 
  
// 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

Tensorflow.js tf.zeros() Function

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