In the previous section, we described how to use the Core API of TensorFlow.js, which allows us to construct any operation graph as we like. But this is not always the best choice. You may find yourself in a situation where a high-level API is more relevant when we want to build an application quickly. The Layers API is a Keras-like high-level API that's used to create models in an intrinsic way. You may already be familiar with the style of the Layers API if you've used Keras to construct machine learning models in the past.
There are two ways we can construct a machine learning model with the Layers API:
- By using the sequential model API
- By using the functional model API
As you may have already noticed, the Layers API has been made to look similar to the Keras API. Those of you who are already familiar with Keras will be able to use the Layers API...
