Regression with Automatic Differentiation in TensorFlow
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.
- Mathematical Optimization
- Machine Learning
- Linear Regression
- Automatic Differentiation