Tensorflow.js tf.grads() Function
Last Updated :
21 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.grads() function takes a function f(x) and return a function gx
Syntax:
tf.grads (f)
Parameters:
- f: This is the given function for which gradients are calculated.
Return Value: It returns an array.
Example 1:
Javascript
const tf=require( "@tensorflow/tfjs" )
const f = (a, b) => b.add(a);
const g = tf.grads(f);
const a = tf.tensor1d([5, 6]);
const b = tf.tensor1d([-10, -20]);
const [gfg1] = g([b, a]);
gfg1.print();
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Output:
Tensor
[1, 1]
Example 2:
Javascript
const tf=require( "@tensorflow/tfjs" )
const f = (a) => a.mul(8);
const g = tf.grads(f);
const a = tf.tensor1d([50, 60]);
const [gfg1] = g([a]);
gfg1.print();
|
Output:
Tensor
[8, 8]
Reference: https://js.tensorflow.org/api/latest/#grads
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