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Coursera Project Network

Regression with Automatic Differentiation in TensorFlow

Coursera Project Network via Coursera

Overview

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.

Taught by

Amit Yadav

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