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學生對 Google 云端平台 提供的 End-to-End Machine Learning with TensorFlow on GCP 的評價和反饋

4.5
1,412 個評分
224 條評論

課程概述

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp). One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Prerequisites: Basic SQL, familiarity with Python and TensorFlow >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

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GV

Sep 21, 2020

I would like to thank Lak and Chris for their wonderful presentation of the deployment of ML models on the Google Cloud Platform. The case study problem chosen for the course is also unique.

GP

Nov 18, 2019

awesome learning experience fro the teacher from google. thanks to coursera and google for providing me such a good lesson which will be beneficial for my upcoming future and research work

篩選依據:

201 - End-to-End Machine Learning with TensorFlow on GCP 的 222 個評論(共 222 個)

創建者 AMAN V

Dec 15, 2019

The labs could have been a bit more useful.

創建者 Bruno N H P

Sep 02, 2020

Some codes of yours notebooks doesnt work

創建者 Marian P

May 23, 2020

Some labs have to be reviewed and updated

創建者 Rahul D G

Jul 13, 2019

QuickLabs has error in many labs

創建者 KimNamho

Jun 12, 2019

thank you

創建者 길경완

Jun 30, 2019

well

創建者 Mark Y

Jun 22, 2019

nice

創建者 Nikhileshkumar I

Nov 08, 2019

Course content is good. But Coursera policy is bad. After completion of the course, only a 1-month extension is given to revise it after that. You cant see the content. This is very bad. It would be better to download the videos.

How are you supposed to revise the contents?

After that, you have to pay again. I will think twice before going for any course with coursera.

創建者 Han L

Nov 23, 2019

Good content, but flawed lab design. The labs are designed to run in sequence and have dependencies from previous labs. Those dependencies break with different sessions of Qwiklabs.

創建者 Nattachai T

Oct 07, 2019

Most of this course lack the actual coding so I dont think I get much actual experience from this course

創建者 Alireza K

Jul 27, 2019

The labs were completed, I need to only run them. which I think I couldn't engage myself

創建者 Wanqiong P

Feb 25, 2020

The Lab tests could be more interactive, and the tests could have more questions.

創建者 Ahmed Y

May 16, 2020

The labs are not good. The labs can not evaluate a student.

創建者 haideriqbal

Jun 17, 2020

Labs should be more interactive and challenging.

創建者 신형재

Jul 02, 2019

errors...

創建者 Jakub B

Jun 19, 2019

Very weak course. There are no assignments, only 'labs' for which there are walkthrough videos that tell what happens in code, but they don't actually ask to implement or test anything.

The qwiklabs platform is also very unwieldy - even for labs that take 10 minutes you have to go through set up that takes at least 5 minutes...

If you want to take whole specialization the course might be useful, but otherwise DO NOT DO THIS COURSE

創建者 Sacha v W

Jun 20, 2019

Quite some labs did not work. It shows how several components of GCP can be used. Then there are implementation labs that are really abacadabra. I was really disappointing.

創建者 Russ K

Aug 30, 2018

Looks like this class could be very useful, but you have to pay up front before you can try any labs. Don't bother auditing.

創建者 bearrumor T

Jun 28, 2019

Too short Time and Too Many Contents and Too rare comments for ToDo items in LabTasks

創建者 Grzegorz G

Feb 12, 2019

Labs are not working. I'm getting 'access to the resource denied' error

創建者 Satish S

May 24, 2020

This course is a Joke

創建者 CHADA Y R

May 02, 2020

Bad