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Learner Reviews & Feedback for Data Pipelines with TensorFlow Data Services by DeepLearning.AI

4.1
stars
251 ratings
73 reviews

About the Course

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....

Top reviews

PC
Apr 16, 2020

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!

GL
Mar 2, 2020

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

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51 - 73 of 73 Reviews for Data Pipelines with TensorFlow Data Services

By Darren L

Sep 24, 2020

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.

By İlkin H

Jul 30, 2020

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).

By Vincent H

Apr 14, 2020

The content of weeks 1 to 3 is very useful and the videos are clear. However the content of week 4 goes way to fast, and the last exercice is way more difficult to do, and to validate. The number of questions in the forum on that matter illustrates that something could be improve. Though, thanks for the course!

By Moustafa A S

Jul 3, 2020

too much informations but for the most part it's made for the researchers, dealing with so many complicated methods and functions in tensorflow, which was helpful but the codes were too much and not described indepth, maybe you can improve the way you showcase the codes slowly and in different senarios.

By Parth J

Jun 3, 2020

A lot of information was crammed in videos of very short duration. The course could have been more comprehensive. Also, a detailed explanation of errors on making wrong submissions would be very helpful.

By Marko N

Sep 13, 2020

Currently the assignments are broken and it takes a lot of effort to successfully complete them because of that. Hopefully they fix it in the future.

By András G

Feb 17, 2020

Dataset creation task was more complex for me then all previous before.

By Shobhit G

May 16, 2020

Last Assignment does not have proper logs and instructions.

By Tim.Ding

Sep 15, 2020

Very poor course experience due to assignment grader!!

By Mark P

Apr 27, 2020

Assignments were very poor - especially week 4.

By Jinxiang R

Mar 1, 2020

week 2 and week 4 is quite hard to follow

By Sanket G

Sep 22, 2020

The final assignment is just annoying

By Triantafyllos S

Oct 17, 2020

Fix the Week 4 Assignment please.

By Cheuk L Y

Jun 26, 2020

That last week was awful.

By Johan T

Jun 4, 2020

While this is meant to be a "get your feet wet" specialization that has you use basic TensorFlow APIs to do things. this particular course is below the bar even for that. Exercises consists of cut-n-pasting large swats of code and asking meaningless questions about spelling of API symbols (quick, which one is it: word_order_isn't_learning, word_isn't_order_learning, learning_word_order_isn't, or order_isn't_learning_word?). The course ends with a seriously frustrating cut-n-paste exercise where you get tested on important topics like finding the right sentence to copy from a wiki.

By Pavel

Mar 11, 2020

First three weeks were pretty interesting, especially pipelines and performance. However the examples and tasks were a little bit non-realistic. But Week 4 exercise was terrible. It is almost impossible to complete it using just grader's output. Running its copy in a separate colab's notebook is a must to be able to track errors, a lot of which are basically typos in names. The task description should have mentioned this much more explicitelly.

By Fabrice L

Mar 20, 2020

That makes me sad to give such a bad rating, because I'm a big fan of Andrew Ng and DeepLearning.ai courses, but this one is really not at standart.

The lectures are confusing, we don't understand what's the goal of all that until week3.

The assignments can be a pain to pass, not because your code is wrong, but because you added a newline or modify a bit the cell.

And overall the topic is not very interesting, in an industry setting not useful.

By Peer B

Oct 19, 2020

Normally the deeplearning.ai courses are really well done. This course unfortunately was an exception. The material was presented nicely, but the fourth week's programing exercise was a disaster. There was no way to complete it unless you reviewed several of the discussion forums to learn how to resolve the inherent bugs in the code and how to use the hidden week 5 notebook.

By Daniel V H

Sep 14, 2020

homework assignments are not in the correct locations and assignments require significant digging to be able to submit and receive the appropriate grade. Please fix the issues so new students do not waste significant time. Moderators reading the discussion forums frequently would help.

By Lim H H

Oct 3, 2020

The 4th week is terrible. The assignment was confusing and the lecture didn't prepare me to do it at all.

By Mohannad B

Jul 1, 2020

It is a great course untell you watch the last week. Videos are very short and there is no easy way to debug the assignment. Wich was better.

By Andy C

Aug 27, 2020

the week 4 exercise is so frustrating

By Pratama A A

Oct 6, 2020

Worst Course Ever !