Regression with Automatic Differentiation in TensorFlow(으)로 돌아가기
Coursera Project Network의 Regression with Automatic Differentiation in TensorFlow 학습자 리뷰 및 피드백
6개의 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 3개 리뷰 중 1~3
교육 기관: Tanmay C
•Apr 10, 2020
A good hands on training platform for beginners. A very basic project for beginners to begin with.
교육 기관: Akhilesh V P
•Apr 13, 2020
Need more theoretical understanding about topic
교육 기관: Emad T
•May 30, 2020
content is alright, but the VM crashed, so I have only watched the last couple of videos without applying.
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