In this chapter, you will learn how to build, solve, and make predictions with models in TensorFlow 2.0. You will focus on a simple class of models – the linear regression model – and will try to predict housing prices. By the end of the chapter, you will know how to load and manipulate data, construct loss functions, perform minimization, make predictions, and reduce resource use with batch training. This is the Summary of lecture "Introduction to TensorFlow in Python", via datacamp.
Jul 19, 2020