In this chapter, we introduced how the regression problem can be solved by TensorFlow.js. The regression problem is common in any machine learning application. Now, you know how to write an application that solves this type of problem.
You have learned what the regression problem is and how the polynomial regression model can be applied to solve the problem. Polynomial regression is a simple mathematical model that predicts the continuous target value. However, it can show a pretty good result if we use a well-tuned optimizer such as Adam. Therefore, you should also learn how iterative optimization works. We will look at this continuously throughout this book.
Regression problems can appear in any kind of format, but for simplicity, we tried to solve the sine curve fitting problem as an example of a regression problem. You saw how your model fit the target curve properly...
