Wednesday, July 3, 2024
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Tensorflow.js tf.removeBackend() Function

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.removeBackend() function is used to remove the backend and the registered factory as well.

Syntax:

tf.removeBackend(name) 

Parameters:

  • name: The name of the backend which we want to remove.

Return Value: It returns void

Example 1:

Javascript




// Setting the backend
tf.setBackend("cpu")
 
console.log(tf.getBackend())
 
tf.removeBackend('cpu')
 
console.log(tf.getBackend())


Output:

cpu
null

Example 2: In this example, we have set the backend to “cpu” and then removed it and set it to “webgl”.

Javascript




// Setting the backend
tf.setBackend("cpu")
 
tf.removeBackend('cpu')
 
console.log(tf.getBackend())
 
tf.setBackend("webgl")
 
// Getting the backend using
// getBackend method
console.log(tf.getBackend())


Output:

null
webgl

Reference: https://js.tensorflow.org/api/latest/#removeBackend

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Shaida Kate Naidoo
am passionate about learning the latest technologies available to developers in either a Front End or Back End capacity. I enjoy creating applications that are well designed and responsive, in addition to being user friendly. I thrive in fast paced environments. With a diverse educational and work experience background, I excel at collaborating with teams both local and international. A versatile developer with interests in Software Development and Software Engineering. I consider myself to be adaptable and a self motivated learner. I am interested in new programming technologies, and continuous self improvement.
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