TensorFlow 1.x Deep Learning Cookbook
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Regression

This chapter shows how regression can be done using TensorFlow. In this chapter, we will cover the following topics:

  • Choosing loss functions
  • Optimizers in TensorFlow
  • Reading from CSV files and preprocessing data
  • House price estimation-simple linear regression
  • House price estimation-multiple linear regression
  • Logistic regression on the MNIST dataset