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Вернуться к End-to-End Machine Learning with TensorFlow on Google Cloud

Отзывы учащихся о курсе End-to-End Machine Learning with TensorFlow on Google Cloud от партнера Google Cloud

4.5
звезд
Оценки: 1,639
Рецензии: 260

О курсе

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 <<<...

Лучшие рецензии

GV

20 сент. 2020 г.

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

17 нояб. 2019 г.

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

Фильтр по:

201–225 из 259 отзывов о курсе End-to-End Machine Learning with TensorFlow on Google Cloud

автор: Rohit K S

17 сент. 2020 г.

Finally I was able to finish it yes!!

автор: Chan S H

21 апр. 2021 г.

Practical and resourceful!

автор: Shiva P

22 апр. 2020 г.

Lucky to learn in easy way

автор: Vijay M D

19 апр. 2020 г.

This is an awesome course.

автор: Utkarsh S

3 мая 2020 г.

Assignments are hectic

автор: ABBAD S

14 дек. 2020 г.

It was a pleasure

автор: hemant k

24 нояб. 2018 г.

Its good one.

автор: Jose J A S

25 янв. 2022 г.

nice course

автор: Yathish

23 июля 2021 г.

Excellent

автор: Luis E O

4 апр. 2019 г.

Excelente

автор: Prasenjit P

16 сент. 2019 г.

Good !!

автор: George V

11 апр. 2020 г.

great

автор: Siddharth P

4 апр. 2020 г.

Nice.

автор: Micael F

28 мар. 2020 г.

Nice.

автор: Raghavendra P

10 июля 2020 г.

nice

автор: choisungwook

2 июля 2019 г.

good

автор: Karl J

11 апр. 2020 г.

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.

автор: David K

12 мар. 2019 г.

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

автор: Mustafa H K

19 апр. 2020 г.

- 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.

автор: Antony J

24 апр. 2021 г.

Very difficult course to follow, as most of the visuals are out of date and seem to refer to TF1, whereas some (but not all) of the QwikLabs have migrated to TF2. There's even a set of videos referring to Big Query ML, but no lab. Very interesting, but the course needs a good polish.

автор: Mateo V

5 авг. 2020 г.

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

автор: Ian Q T C

18 янв. 2019 г.

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

автор: Jia

21 окт. 2019 г.

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.

автор: Philip G

6 дек. 2021 г.

The demonstrations have code that does not work. It gives some explanations for why you would do various steps, but the workflow is not clear.