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学生对 Coursera Project Network 提供的 Regression with Automatic Differentiation in TensorFlow 的评价和反馈

28 个评分
5 条评论


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....

1 - Regression with Automatic Differentiation in TensorFlow 的 5 个评论(共 5 个)

创建者 tale p

Jun 28, 2020


创建者 p s

Jun 24, 2020


创建者 Tanmay C

Apr 10, 2020

A good hands on training platform for beginners. A very basic project for beginners to begin with.

创建者 Akhilesh V P

Apr 13, 2020

Need more theoretical understanding about topic

创建者 Emad T

May 30, 2020

content is alright, but the VM crashed, so I have only watched the last couple of videos without applying.