5. Classification Models
Overview
In this chapter, you will explore different types of classification models. You will gain hands-on experience of using TensorFlow to build binary, multi-class, and multi-label classifiers. Finally, you will learn the concepts of model evaluation and how you can use different metrics to assess the performance of a model.
By the end of this chapter, you will have a good understanding of what classification models are and how programming with TensorFlow works.
Introduction
In the previous chapter, you learned about regression problems where the target variable is continuous. A continuous variable can take any value between a minimum and maximum value. You learned how to train such models with TensorFlow. ...
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