The low-level API is flexible and allows us to construct the operation graph at the lowest level. It is also known as TensorFlow.js Core (https://github.com/tensorflow/tfjs-core).
This API allows us to access kernel implementations for each backend directly. Fundamentally, other high-level libraries and ecosystems depend on the Core API. Being familiar with the Core API will help us implement an efficient machine learning model with TensorFlow.js. Although the code base of the Core API was initially separated, TensorFlow.js is now managed by the mono repository. This means we can access any type of API solely from the root of the namespace of the library. Therefore, if we were to use tf as the reference to the root namespace, we can import it as follows:
import * as tf from '@tensorflow/tfjs';
