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Learner Reviews & Feedback for Natural Language Processing with Sequence Models by DeepLearning.AI

4.5
stars
1,094 ratings

About the Course

In Course 3 of the Natural Language Processing Specialization, you will: a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and d) Use so-called ‘Siamese’ LSTM models to compare questions in a corpus and identify those that are worded differently but have the same meaning. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot! This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper....

Top reviews

SA

Sep 27, 2020

Overall it was great a course. A little bit weak in theory. I think for practical purposes whatever was sufficient. The detection of Question duplication was a very much cool model. I enjoy it a lot.

AB

Nov 11, 2021

This is the third course of NLP Specialization. This was a great course and the instructors was amazing. I really learned and understand everything they thought like LSTM, GRU, Siamese Networks etc.

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176 - 200 of 230 Reviews for Natural Language Processing with Sequence Models

By Pradeep B

Aug 28, 2021

The topics are definitely advanced however the content is very basic and is meant for beginners if I am not wrong. If one is 'starting' to learn to apply deep learning via trax to sequence models, then this is the best course for that goal.

By Muhammad H

Jan 23, 2024

This is my third specialization course from DeepLearning.AI. Only this third course of NLP I find some how dull. In all other courses I was enjoying by learning. So I rated 5/5 all other courses. Overall thank you so much the whole team.

By Owen B

Apr 1, 2023

Content is great but, it's annoying that I take the time to write up the errors in the assignment, and it feels like they don't get corrected.

By Ahnaf A K

Aug 6, 2020

It was a bit repetitive of the 'Sequence Model' course from the Deep Learning specialization, only with the exception of implementing in TRAX.

By Nishank L

Nov 14, 2021

Assignments are good. Can we have these using pytorch. Or better: Can a person choose his own language and build entire code on that !!

By Osama A O

Oct 19, 2020

Great course, although would have been better if assignments were implemented in Keras or PyTorch. Otherwise, definitely worth it!

By Matthew P

Jan 7, 2021

Great information, but some of the assignments had errors and there weren't many interactions from the TAs on the Slack or Forum

By Marc G

Feb 10, 2022

Great course! I would have liked Keras/TensorFlow 2.x or Pytorch to be used instead of Trax which is not as frequently used.

By Manuela D

Mar 14, 2022

Interesting and well explained altough assignment excercise are difficult to understand and they are just focus on Trax

By Mohsen A F

Oct 24, 2020

The clarity of exposition was superb! 1 star less for using TRAX. I would have rathered to use Keras or Tensorflow.

By Saurabh K

May 24, 2021

We might have included little bit more details on dimensions of the inputs and outputs of the Sequence models.

By Mridul G

Jul 14, 2021

The course is very good, but its not complete in itself. The way course was taken and everything is good.

By Hair P

Nov 20, 2020

Overall the content was great. Please make sure that errors in the notebooks are corrected.

By RAHUL K

Sep 18, 2020

The course is designed quite well to boost understanding of Sequence Models in great depth

By Steve H

Apr 3, 2021

Excellent course, but probably worth doing the deep learning specialisation first!

By Ke Z

Feb 24, 2021

I dont like to use TRAX. If it is using tensorflow, then I will give 5 stars

By Alireza S

Dec 11, 2021

I prefer that the lecturer using TensorFlow instead of Trax for exercises

By Jędrzej R

Jan 4, 2023

I think it'd be better if keras/tensorflow will be used instead of trax

By kerolos E

Mar 23, 2022

Almost perfect. More Explanation in implementation is needed.

By Vitalii S

Jan 21, 2021

Good information, but some assignments were an embarrassment.

By Azmine T W

Oct 12, 2022

Last exercise need to be clafired more, I think.

By Nikita M

Dec 7, 2020

Not as good as original courses by Andrew

By Gonzalo A M

Jan 14, 2021

it was good but it could be better

By Ruiwen W

Aug 1, 2020

some errors in the assignments

By V B

Sep 24, 2020

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