Tensorflow.js tf.neg() Function

Tensorflow.js tf.data.Dataset.forEachAsync() Function

Last Updated : 18 May, 2021

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or in Node.js.

The tf.data.Dataset.forEachAsync() function is used after applying a function to every element of the dataset

Syntax:

forEachAsync(f)

Parameters:

f: A function to apply to each dataset element.

Return Value: It returns promise<void>

Example 1:

Javascript

const a = tf.data.array([1, 2, 3]); 
await a.forEachAsync(e => console.log(e)); 

Output:

1
2
3

Example 2:

Javascript

const a = tf.data.array([1, 2, 3]); 
await a.forEachAsync(e => console.log(e*2));

Output:

2
4
6

Reference: https://js.tensorflow.org/api/latest/#tf.data.Dataset.forEachAsync

Tensorflow.js tf.neg() Function

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