coursera

Regression with Automatic Differentiation in TensorFlow


  • flag Coursera
  • student Beginner
  • database eLearning
  • earth English
  • clock 15h

About

In this 1.5 hour long project-based course^ you will learn about constants and variables in TensorFlow^ you will learn how to use automatic differentiation^ and you will apply automatic differentiation to solve a linear regression problem. By the end of this project^ you will have a good understanding of how machine learning algorithms can be implemented in TensorFlow. In order to be successful in this project^ you should be familiar with Python^ Gradient Descent^ Linear Regression. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Covered topics:

  • Mathematical Optimization
  • Machine Learning
  • Tensorflow
  • Linear Regression
  • Automatic Differentiation