Course

Regression with Automatic Differentiation in TensorFlow

Coursera Project Network

In this 1.5-hour project-based course, you will delve into TensorFlow to grasp the concepts of constants, variables, and automatic differentiation. Through practical application, you will gain the skills to solve a linear regression problem using TensorFlow.

  • Understand tensor constants and tensor variables in TensorFlow.
  • Explore the concept of automatic differentiation in TensorFlow.
  • Apply automatic differentiation to solve a linear regression problem.

This course is ideal for individuals familiar with Python, Gradient Descent, and Linear Regression. By the end of the project, you will have acquired a solid understanding of implementing machine learning algorithms in TensorFlow.

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Regression with Automatic Differentiation in TensorFlow
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