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Вернуться к Regression with Automatic Differentiation in TensorFlow

Отзывы учащихся о курсе Regression with Automatic Differentiation in TensorFlow от партнера Coursera Project Network

4.6
звезд
Оценки: 41
Рецензии: 7

О курсе

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....
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1–7 из 7 отзывов о курсе Regression with Automatic Differentiation in TensorFlow

автор: Kamlesh C

Jul 26, 2020

Thanks

автор: tale p

Jun 28, 2020

good

автор: p s

Jun 24, 2020

Good

автор: Tanmay C

Apr 10, 2020

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

автор: Sreenidhi K L

Jul 17, 2020

just nice work

автор: Akhilesh V P

Apr 13, 2020

Need more theoretical understanding about topic

автор: Emad T

May 30, 2020

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