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学生对 Google 云端平台 提供的 End-to-End Machine Learning with TensorFlow on GCP 的评价和反馈

1,527 个评分
246 条评论


In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization ( 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: <<<...


Sep 20, 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.

Nov 17, 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


201 - End-to-End Machine Learning with TensorFlow on GCP 的 225 个评论(共 244 个)

创建者 George V

Apr 11, 2020


创建者 Siddharth P

Apr 4, 2020


创建者 Micael F

Mar 28, 2020


创建者 Raghavendra P

Jul 10, 2020


创建者 choisungwook

Jul 2, 2019


创建者 Karl J

Apr 11, 2020

It has great content for the lectures and a great introduction to GCP to make a production machine learning service. The labs are helpful to an extent, but you're on your own to troubleshoot or explore for labs because there is no help on discussion boards. They say to email tech support, but tech support's reponse was to do the lab as written, despite being told that's what was done. It's hard to get through a lab searching StackOverflow or Google because of the time limits.

创建者 David K

Mar 12, 2019

Good: Course structure = great, content is relevant and interesting

Bad: Labs do not always work (e.g. deprecated GCP modules incompatible with apache-beam), code for labs already contains answers... would be nice to have "lab" file and "answer" file to make learning more explicit, also, the white guy with the mustache should rerecord his videos.... the cadence is distracting and he does not go into as much depth as Lak

创建者 Mustafa H K

Apr 19, 2020

- the lectures are not easy to follow sometimes, might be better if the code is shown more step by step rather than being shown all at once and then the instructor arbitrarily starts explaining from a particular location.

the labs are either too easy or such that there isn't enough information to find out the answers unless you really do arbitrary try and error. Either way you don't come out learning much.

创建者 Mateo V

Aug 5, 2020

Lectures are good but the labs are just tapping shift +enter on jupyter notebooks (There is no really hands-on). Some intermediate steps on notebooks are not well explained. For learning is ok , but having to pay for a certificate on this , I wouldn't recommend it

创建者 Ian Q T C

Jan 18, 2019

Exactly what it says. Labs are trivial and I felt like I didn't learn much other than how to use the interface for serving and taking a model from start to finish. The core concepts are useful both in GCP and if you decide to roll your own stack

创建者 Jia

Oct 21, 2019

Good to work in a real world environment, though not much hands-on work (most code has already been provided). Still not familiar with API's details.

创建者 MP

Aug 25, 2019

This course is not very practical nor very well explained. The topic is very interesting but it is not delivered clear enough.

创建者 Eun S J

Jun 29, 2019

I am satisfied with GCP training except for some errors.

I think I need the latest update.

创建者 Jitesh B C

Apr 30, 2020

more explanation about labs were needed for help to understand the code

创建者 林佳佑

Nov 2, 2018

the course is helpful for any learner initial to touch GCP learning

创建者 Harshit S

Oct 9, 2020

Deployment was not successful. Was not able to debug

创建者 AMAN V

Dec 15, 2019

The labs could have been a bit more useful.

创建者 Bruno N H P

Sep 2, 2020

Some codes of yours notebooks doesnt work

创建者 Marian P

May 23, 2020

Some labs have to be reviewed and updated

创建者 Rahul D G

Jul 13, 2019

QuickLabs has error in many labs

创建者 KimNamho

Jun 12, 2019

thank you

创建者 길경완

Jun 29, 2019


创建者 Mark Y

Jun 22, 2019


创建者 Cody G

Dec 16, 2020

Really, really poor due to the fact that it's outdated to the point being broken in various ways. For instance, Qwiklabs confirms there is a bug in the local prototyping lab that prevents us from actually training anything. There is no consensus between video and lab as to whether we are using Keras or Estimators. Lab 5 points to an old ipynb using Estimators, while Lab 6 assumes we have used a newer version featuring Keras--so one redoes all of Lab 5. There is a "Optional Lab" with accompanying videos, but where there is no option to do the lab--the lab has been removed for half a year or more (per the discussion board). The video summary mentions that we have used App Engine to make a frontend for our model--no we didn't! I understand having a few bugs, but this course surely wasted several hours of my time. And yes, as others mention, the TODO's, for the most part, don't require much thought. On the upside, I think Lak is a really excellent presenter, and that Chris and the other guy are also pretty good.

创建者 Carl S

Feb 22, 2021

The labs were out of sync with the reviews and the code was either 100% complete or 0% complete, there wasn't much of an opportunity to learn.

Across the 1 course they used 2 different notebook applications as it was updated, which was confusing. They also scattered Tensorflow / Tensorflow.Keras throughout and it lacked consistency.

Also the demonstrators shouldn't speak into the mic so closely.