In Chapter 1, we introduced the TensorFlow.js ecosystem. There, we discussed its history, features, and details, such as tensors, operations, and layers. In this second chapter, we will apply several of the concepts introduced to build our first machine learning models.
The models we will create here belong to the category of supervised learning. This is the ML task of learning from a labeled training set, a function that maps a set of inputs, known as features, to a label (also named class). In this chapter, we will explore this type of learning and how ...
