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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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801 - 825 of 991 Reviews for Natural Language Processing in TensorFlow

By Nisarg S

•

Apr 22, 2020

thank you coursera :)))))))

By Muhammad R

•

May 26, 2023

cukup sulit dan menantang

By Bằng P C

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Jul 2, 2020

Very good for a beginner

By Satyam s

•

May 13, 2020

Simple and understanding

By Otavio B

•

Jan 23, 2020

Missed graded assigments

By Jacky T

•

Jan 4, 2021

Nice fundamental course

By Mohammad A J

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Dec 24, 2023

the mic is not good

By Ashwini. A

•

May 20, 2020

i like this courses

By Luigi S

•

Dec 26, 2019

Nice and clear

By LANKE N B J

•

Jun 27, 2020

good content

By Abdur R

•

Apr 12, 2021

Best Course

By Rohit K S

•

Sep 19, 2020

Amazing!!

By Ashwani Y

•

Apr 22, 2020

its good

By Muhammad A

•

Aug 23, 2021

5 stars

By Gedeon M

•

Feb 6, 2024

Good

By Egi R T

•

Jul 9, 2022

Good

By Zayn K

•

Jul 8, 2021

good

By Wellington B R

•

Jul 24, 2020

Good

By RAJAT S

•

Jun 26, 2020

GOOD

By Milad M

•

May 15, 2020

good

By M n n

•

Apr 16, 2020

Nice

By Amit K

•

May 12, 2020

ok

By Pablo A

•

Sep 15, 2020

After taking courses 1&2 of this Specialization I had high expectations for this course on NLP. I am a linguist learning ML so I was really hoping to learn a lot. However, this course has no graded assignments, which was a disappointment as I really enjoy the challenge that those present. Making the assignments not required really takes away from the experience imo. Additionally, the content seems kind of basic in this course. I feel like the first 3 weeks are spent doing mostly the same thing. It isn't until week 4 when we finally get to something somewhat interesting. I really wish this course was better structured. I will be checking out other NLP courses, but this one was a bit of a disappointment.

By Jesus E R

•

Mar 24, 2021

Very, very basic course. It over-explains the simple things but glosses over important concepts and choices (choice of optimizers, choices of some layers, among others).

Additionally, the course is overly repetitive. Videos explain the same thing over and over. I understand this is more about Python and Tensorflow than is about ML but even then, we spend longer time explaining the non-TF parts of the code than on the TF parts and the reasoning behind them.

This course also lacks practice. Quizzes focus on the exact syntax for a function but not that much on the whys. It lacks programming exercises (first week has a very simple workbook that doesn't teach much).

By Aditya L

•

Sep 3, 2020

This course has a lot of exciting material. However, it can be challenging and hard to work on if you are not comfortable with RNNs and LSTMs already. It cross-references to many videos of Andrew Ng, which would be ok, but when you see those videos you realize you need to learn more things and so on. Additionally, the assignment is ungraded which takes away some of the challenges. Definitely a good introduction but to get deeper meaning on this you have to do your own research and studies on the material quite a bit.