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

512 ratings

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


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!


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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101 - 105 of 105 Reviews for Data Pipelines with TensorFlow Data Services

By Peer B

Oct 19, 2020

Normally the 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