What are async functions in TensorFlow.js?

What are async functions in TensorFlow.js?

Async functions in TensorFlow.js allow you to perform non-blocking operations, enabling better performance when handling large datasets.

Can you give me an example of how to use async functions?

Sure! You can use the async keyword before a function and await to pause execution until a promise is resolved. For example:

async function loadModel() {
    const model = await tf.loadLayersModel('model.json');
    return model;
}

What are the benefits of using async functions?

The main benefits include improved performance, better resource management, and a more responsive user experience, especially in web applications.

Are there any limitations I should be aware of?

Yes, async functions can complicate error handling and debugging. Also, they may not be suitable for all scenarios, especially if synchronous execution is required.