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Learner Reviews & Feedback for Data Pipelines with TensorFlow Data Services by DeepLearning.AI
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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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101 - 103 of 103 Reviews for Data Pipelines with TensorFlow Data Services
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