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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

1,457 个评分
232 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


176 - End-to-End Machine Learning with TensorFlow on GCP 的 200 个评论(共 230 个)

创建者 Gabrielwry

Jul 11, 2019

pretty good for intro to get a feeling of how the Machine Learning System is working as a product.

创建者 Saurabh R

Jun 30, 2019

Great Course with exposure to end to end deployment and Code Sample to learn Faster

创建者 Mike M

Jan 16, 2020

More explanation and digging deeper into code would be welcomed

创建者 Bruned V

Sep 20, 2020

Update the videos (new version of tensorflow+evolution of GCP)

创建者 Arron G H

Nov 21, 2020

A very well put together simple to use and understand course.

创建者 Dhanesh P

Mar 26, 2020

Interchanging Tutors and many repo files made it bit complex

创建者 Rohit K S

Sep 17, 2020

Finally I was able to finish it yes!!

创建者 Shiva P

Apr 22, 2020

Lucky to learn in easy way

创建者 Vijay M D

Apr 19, 2020

This is an awesome course.

创建者 Utkarsh S

May 3, 2020

Assignments are hectic

创建者 Hemant D K

Nov 24, 2018

Its good one.

创建者 Luis E O

Apr 4, 2019


创建者 Prasenjit P

Sep 16, 2019

Good !!

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

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.