Regression with Automatic Differentiation in TensorFlow(으)로 돌아가기
Coursera Project Network의 Regression with Automatic Differentiation in TensorFlow 학습자 리뷰 및 피드백
56개의 평가
강좌 소개
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.
필터링 기준:
Regression with Automatic Differentiation in TensorFlow의 8개 리뷰 중 1~8
교육 기관: Kamlesh C
•2020년 7월 26일
Thanks
교육 기관: tale p
•2020년 6월 28일
good
교육 기관: p s
•2020년 6월 24일
Good
교육 기관: Pragyan
•2020년 10월 3일
Great Course. Would've liked if a more sophisticated example was taken instead of linear regression, but nonetheless, great.
교육 기관: Tanmay C
•2020년 4월 10일
A good hands on training platform for beginners. A very basic project for beginners to begin with.
교육 기관: Sreenidhi K L
•2020년 7월 17일
just nice work
교육 기관: Akhilesh V P
•2020년 4월 13일
Need more theoretical understanding about topic
교육 기관: Emad T
•2020년 5월 30일
content is alright, but the VM crashed, so I have only watched the last couple of videos without applying.
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