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

758 ratings
187 reviews

About the Course

In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into German using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering, and d) Build a chatbot using a Reformer model. 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! Learners should have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework (e.g., TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. Please make sure that you’ve completed course 3 - Natural Language Processing with Sequence Models - before starting this course. 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


Oct 4, 2020

Can the instructors make maybe a video explaining the ungraded lab? That will be useful. Other students find it difficult to understand both LSH attention layer ungraded lab. Thanks


Jun 22, 2021

This course is briliant which talks about SOTA models such as Transformer, BERT. It would be better to have a Capstone Project. And entire projects can be downloaded easily.

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176 - 188 of 188 Reviews for Natural Language Processing with Attention Models

By Steven N

Apr 29, 2021

The course lectures were very confusing, and the course assignments were too easy, so they didn't reinforce the lecture concepts in the same way that assignments from other courses had.

By Gary L

Oct 20, 2020

Disappointed. Course 4 is much more difficult to follow than other courses in this NLP specification plus other course.

By Omar H

Jan 16, 2021

The Course topics are great but it could be much better by explaning the topics with much more details and providing more examples.

By Mohsen A F

Oct 24, 2020

Like: State-of-the-art NLP problems to be used in the industry.

Dislike: Topics were not well-explained. Difficult to grasp

By George L

Apr 11, 2021

Younes is a bad teacher. He may have good technical chops, but teaching is a different skill altogether. Overall, the NLP specialization design is much much worse compared with the DL Specialization. On one hand, you were taught a lot of stuff that are deep but cursory, on the other hand, the excises are either too difficult for you to get any clue or most of the time actually too simple and you only need to enter simple parameters, therefore cannot really learn anything! I really don't know why there are so many people giving 5 star rating!

By Sharad C R

Apr 25, 2021

Probably one of the worst courses I have ever taken. By week3 I am completely lost and cant make head or tail of the content. Fine tuning the model ? My foot! The videos seemed mug up and the colab material doesnt work, I cant see any fine tuning at all.

All in all horrible course which fails on all fronts of learning.

This has been a glorius level of time sink. I will issue a chargeback from my credit card .

By Dimitry I

Apr 17, 2021

Material coverage is very superficial. Do not expect to fully understand or be able to work with Attention models after doing this course.

Sadly, these types of courses and their fake near 5-star reviews are destroying Coursera.

By David M

Feb 22, 2021

Unfortunately, the classes are given at a very primitive level without explaining what exactly Attention models do. The programming exercises were not explained well, either

By Rajeev R

Apr 26, 2021

Course content was not educational and the assignments only evaluated python skills rather than DL knowledge.

By Vadim P

Dec 26, 2021

As much as Andrew's AI course is good, that much this one is bad. Poorly presented useless material.

By Weizhi D

May 31, 2021

This course sucks. The instructor cannot express concept clearly. Don't take this course.

By Ignacio d l S

Jan 8, 2022

Too easy. I can say I almost didn't learn anything.