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Opiniones y comentarios de aprendices correspondientes a Data Pipelines with TensorFlow Data Services por parte de

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64 reseña

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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’ll use a suite of tools in TensorFlow to more effectively leverage data and train your model. You’ll learn how to leverage built-in datasets with just a few lines of code, use APIs to control how you split your data, and process all types of unstructured data. 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....

Principales reseñas


Apr 17, 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!


Mar 03, 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 - 64 de 64 revisiones para Data Pipelines with TensorFlow Data Services

por Parth J

Jun 03, 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.

por 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.

por András G

Feb 17, 2020

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

por Shobhit G

May 16, 2020

Last Assignment does not have proper logs and instructions.

por Tim.Ding

Sep 15, 2020

Very poor course experience due to assignment grader!!

por Mark P

Apr 27, 2020

Assignments were very poor - especially week 4.

por Jinxiang R

Mar 01, 2020

week 2 and week 4 is quite hard to follow

por Cheuk L Y

Jun 26, 2020

That last week was awful.

por Johan T

Jun 04, 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.

por 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.

por 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 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.

por 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.

por Mohannad B

Jul 01, 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.

por Andy C

Aug 27, 2020

the week 4 exercise is so frustrating