Chevron Left
返回到 End-to-End Machine Learning with TensorFlow on GCP

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
1,458 個評分
232 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 <<<...

熱門審閱

GV
2020年9月20日

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
2019年11月17日

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:

1 - End-to-End Machine Learning with TensorFlow on GCP 的 25 個評論(共 230 個)

創建者 Kevin M

2018年12月6日

Not enough hands-on labs. Mostly just videos and running existing python code. Had to write only a tiny amount of code. I won't remember any of the code, I'll just remember ctrl-enter on all of the pre-written python.... could definitely use some improvement.

創建者 Hammad A

2020年4月12日

Quite outdated this course needs to be updated or removed.

創建者 Soh Y L

2020年4月7日

This course was created in end of 2019. It will be much better to update the lab materials to Tensorflow 2.0 and use Keras abstraction. The goal is to learn how to deploy without going into too much details. Some of the code doesn't work in 2.0 anymore.

創建者 Panit A

2019年4月27日

Would be nicer if students can use the google cloud with less restrictions. I got blocked multiple times from trying the codes in the videos..

Overall, the materials are great and very interesting!

創建者 Maxim

2019年7月5日

This specialization consists of 5 courses:

Course1: End-to-End Machine Learning with TensorFlow on GCP

Course2: Production Machine Learning Systems

Course3: Image Understanding with TensorFlow on GCP

Course4: Sequence Models for Time Series and Natural Language Processing

Course5: Recommendation Systems with TensorFlow on GCP

In specialization's FAQ say nothing about "audit" option. Do You know what is it ? "Audit" means that You can use course video material even after You subscriptions ended.

By fact, only "Course 1" has such ability. Before pay for specialization, carefully check FAQ for EACH separated course in specialization:

courses 2-5 has special point:

"Why can’t I audit this course?

This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

"

"Who have paid" means that after You subscriptions ended, you lost access to video materials in this courses.

p.s.

1 star only for "Audit", content and lecturers are rated higher - at least 4 stars

創建者 Brandon T

2019年12月11日

I appreciate the content being on github but the course had many technical difficulties on GCP. Much of the content in videos was in python2.

創建者 Satwik R K

2020年4月15日

Not worth of investing Time on it.

創建者 Carlos V

2018年10月7日

One of my favourites Courses from Google, it provides an excellent overview of the End to End Machine LEarning process, and how to use GCP to speed up your workflow, highly recommended to anyone looking to expand their understanding of Real World application of ML

創建者 Rahulkumar S

2020年3月27日

The course content is rich and easy to understand. The instructors are also awesome and the quick labs are very helpful to understand the concepts in the practical world.

創建者 Harsh S

2019年6月9日

Objective of course is great. But, a lot can be improved in terms of clarity on how to execute this course. It is not clearly mentioned whether we need to just execute provided notebooks or write code from scratch. Moreover, how to copy these notebooks from Google cloud repo on github is not mentioned anywhere.

創建者 Taibai X

2020年5月24日

The course walks you through a few common tools of Google AI Platform. The content is a little bit shallow (~ 5-6 hours work) and not well prepared. In the lab, the only thing that you need do it just click the "run" button, the results are not really verified. After taking the course, you will have a basic knowledge of what tool to use for the common ML development tasks, however to start a real project, there are many things to be learned by yourself and is not being covered by this course.

創建者 charles l

2019年12月12日

Spent more time with Google tech support trouble shooting why their courses didn't work, than I did on machine learning...

創建者 Pierre L M

2019年9月30日

Good course overall, maybe the labs are too short or too easy, maybe it would be better to have a link to a doc with some related tasks.

Two labs were missing, one I could see while looking around in the notebooks, but the last one I didn't, i would have appreciated since I don't know flask yet

創建者 Sergio B S

2018年11月4日

This first course of the specialization allows to jump from the ML model that one can play in its own computer, to the model that you can scale to become business operative.

It is not only about build the model, it is about publish the model to make it avalible to your customers or consumers!

創建者 Wang Y

2018年11月10日

One of the best course in the series! A comprehensive tutorial that walk your through the whole end-to-end process of machine learning. Hope there is more similar courses like these where we can get our hands dirty with practical end-to-end machine learning case studies!

創建者 Manthan R

2020年5月31日

I genuinely thank the course co ordinatos for such an amazing experience. The amount of information i was able to adsorb was just fabulous. Once again, a worthy course to go for if you're keen in learning machine learning end to end process. Thanks alot!

創建者 Javed S

2018年11月27日

This course contains many helpful hands-on labs. The course instructors are very knowledgeable. I would recommend this course to anyone who is interested in learning about production machine learning pipeline using TensorFlow.

創建者 Satyabrata P

2019年6月18日

This course is very help full for the beginners where one can learn the ML model to Create , Train , Evaluate & Deploy , very live examples and hands on lab .

My sincere thanks to the training instructors for their efforts.

創建者 Roman V

2020年2月8日

Very practical course. I recommend it to people who already has good ML background and know how ML algorithms work. It is a great practical introduction on how to quickly build and deploy your model in GCP

創建者 Gopinath V

2020年9月21日

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.

創建者 Gunjan P

2019年11月18日

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

創建者 Serhan A

2019年3月3日

Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.

創建者 Dong Z

2020年8月30日

The instructors are a bit nervous and seemed shy, some of the slides are not optimally organized in line with the topics. But the whole picture and structure are very clearly put.

創建者 Kevin G T

2018年10月7日

A very helpful course, we were able to practically apply all the knowledge we received from the First Specialization. I feel much more confident to do ML after this course!

創建者 SAJJA R K

2018年10月15日

Excellent opportunity to learn ML for real world applications. Every one will get the benefit after completion of the course. Thanks for providing such a nice course.