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學生對 提供的 Data Pipelines with TensorFlow Data Services 的評價和反饋

457 個評分
94 條評論


Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....




I understand why most of the students are furious about, but content wise, it one of those extremely helpful and important courses in Coursera. Really loved it!



Laurence cares deeply about the students. Not only about what they learn, but that they actually enjoy and learn it. What a fantastic teacher.


51 - Data Pipelines with TensorFlow Data Services 的 75 個評論(共 94 個)

創建者 Alfian A H


Nice course

創建者 Muhammad T


good course

創建者 Mr. J



創建者 Insyiraah O A


very cool

創建者 mochammad g r


Thanks :)

創建者 Levina A


So cool

創建者 Mellania P S



創建者 Indah D S



創建者 Egi R T



創建者 Al F N P M



創建者 Ahmad H N



創建者 Ming G



創建者 Cees R


I liked the topic and instruction of this course. I had bumped onto the notion of datasets earlier, was impatient as I needed to just resolve an issue, and skipped it. Next time I know what they are about and will be able - and happy - to use (including build) them.

Slight minus: presentation in the video often contained some bullets that I couldn't connect to the speech, that is, I had to choose: read or listen.

Bummer: the last week's exercise effectively required to copy-paste from a notebook that was scrolled through in the video. That is silly enough in itself. What is more, for certain errors in the created code in the notebook, the grader gave a standard notification that was not helpful in resolving the identifying what coding error had been made. As the discussion showed, a good number of people - me including - had been struggling with this to the level of feeling helpless to resolve it.

Still four stars for instructional value of the whole course, but I hope for the sake of future students that the above mentioned exercise will be replaced by a better one.

創建者 Matej M


This course was much better than the two before. Here were real exercises you had to do. It was not just about watching the videos. Topic itself was kind of boring. But the quality much better than others. Also on the discussion forum you were able to search for help.

創建者 Yopi P O


Debugging exercises due to errors in indentation sounded stupid in the first place. But the joy of finally getting a "yes" in the assignment auto-grader beats them all.

創建者 Vinay M


Was not that much engaging because the lectures were not linked properly and were lacking examples to support the content

創建者 Ruan V


Excellent content, but the design of Exercise 4 tainted the experience somewhat by the end.

創建者 Gregor S


Great explanation, however I believe in Week3 there are some broken links . . .heart.csv

創建者 Md S H C


Would be a 5-start if the last assignment was a bit well thought out.

創建者 Mario A C S


Last week exercise is problematic and not that educational

創建者 Chow K M


Coding exercises were generally straightforward.

創建者 Elyasaf E


More and better explanations are needed

創建者 Chuong L


week 4 wasn't very clear

創建者 Yong M L


This course is really interesting during the start, because there are a lot of hands-on for us to play around with the code. It shows the capability of TensorFlow as a Machine Learning framework which can also be used for data preprocessing before the model training.

However, the Assignments were very poorly designed in my opinion. I relied heavily on the discussion forums to pass the Assignments. It seems like a bug to me when you need to navigate through the Jupyter workspace to find the Week 5 notebook, then modify the codes from there and submit it to pass the Week 4 assignment.

創建者 İlkin H


Course content deserves 5 starts. Really nice and very useful tutorial. But assignments are not as good as the content. There are very less explanation , many mistakes ( specially at the last assignment, because of typo, you may submit several times) , no expected outcome to control before submitting (evaluation time of third assignment took around 30 minutes for me).