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Learner Reviews & Feedback for Natural Language Processing in TensorFlow by DeepLearning.AI

4.6
stars
6,390 ratings

About the Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews

FQ

Oct 26, 2023

I already had some theoretical background from the Deep Learning Specialization from Andrew Ng, but with this course, I feel much more confident about building real-world applications with TensorFlow.

GS

Aug 26, 2019

Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!

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951 - 975 of 991 Reviews for Natural Language Processing in TensorFlow

By Prosenjit D

•

Jan 16, 2020

This course is a far cry from Andrew Ng's deep learning specialization and refers to Sequence Models from that specialization at the drop of a hat. In short, no use doing this one, unless you have done sequence models (course 5) of deep learning specialization.

By Dominik B

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Jun 10, 2020

No grader exercises,

sample code in the lectures isn't always updated and gives errors,

everything is a bit chaotic (eg order of sample code, sample code description, introduction to the topic is random; some random parts in the code).

By Venkata S Y T

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Apr 4, 2020

The weekly exercises are not graded and the over all content quality of this course in comparison with the previous two in the specialization seems a bit poor and doesn't provide more learning on the topic.

By Devita P M

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Apr 14, 2022

cant fix kernel died, padahal sudah ke pusat bantuan dan forum diskusi tetap tidak bisa, alhasil kurang maksimal dalam mengerjakan assigment karena salah satu poinnya tidak bisa dirun, terimakasih

By Amit K

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May 25, 2020

Not clearly explained and only using toy and irrelevant datasets, nothing realtime industry specific examples. Also, voice quality is very bad for this course.

By Jurica S

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Nov 29, 2019

I would call this entry/beginner level material. There arent any graded coding challenges, which is a shame. No complex topics are covered with this class.

By Jack C

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May 26, 2020

It's a bit too basic and there are not many graded examples to work through like Andrew Ng's course. I feel it could have been more complete and in depth

By Graham W

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Apr 8, 2020

Disappointing. Laurence much less able to explain NLP issues than CNN issues. Lots of problems with TF versions in Colabs wasted far too much time.

By Joey Y

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Aug 5, 2019

The quality of the audio recording is worse than courses before. The questions at the end of the chapters are also repetitive.

By Milan K

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Feb 15, 2021

The given material is pretty nice, but I don't feel like I learned a lot. Important concepts weren't explained in depth.

By Amr K

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Apr 23, 2020

didn't really feel like a strongly grasped the concept and needed more exercises also the lack of lessons notebooks.

By Maged A

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Nov 15, 2020

Too short. Fine as introduction but not in depth course. No assignment except very shallow multiple choices tests.

By Sivan M

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Apr 17, 2021

some links are broken.

The last quiz (week4) not match to the lessons

couldn't run the lab excercizes

By Benoît Q

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Apr 27, 2020

Not enough content; far too easy; the whole course should be one week of a good tensorflow course.

By Nirzari D

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Jul 6, 2020

The audio quality is very bad! It should be improved so the content is audible to the user

By Manuel W

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May 20, 2022

Assignments often demanded Python knowledge and not the skills learned in the course!

By Jay K

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Mar 3, 2021

There is no graded exercise and the class is outdated that some links do not work.

By Anton Z

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May 14, 2020

I wish assignments were provided the same way as in the previous two courses

By Masoud V

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Aug 22, 2019

Useful but shorter and easier than expected and not deep enough for me

By Jose R

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Sep 5, 2020

It is too mechanical and reinforcement of concepts if very limited

By MD M R S

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May 29, 2020

Good course. but we expected hands-on assignments to learn better

By Alexander S

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Aug 23, 2019

Dont see the value behind predicting words.

By Shubham G

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Feb 6, 2022

Coding assignments need to be mandatory

By Robbin R

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Jul 12, 2021

I miss graded programming excersises!

By AasaiAlangaram

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Dec 11, 2019

Not Much Information provided.