Chevron Left
Back to Natural Language Processing with Attention Models

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

4.4
stars
976 ratings

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

JH

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

SB

Nov 20, 2020

The course is a very comprehensive one and covers all state-of-the-art techniques used in NLP. It's quite an advanced level course and a good python coding skill is a must.

Filter by:

226 - 239 of 239 Reviews for Natural Language Processing with Attention Models

By Greg D

Dec 31, 2020

Even though this is better than the other 3 courses in the specialization it's not really any different from reading a few posts on popular machine learning blogs about the technologies they present here. I would understand if the instructors brought some insights, but it's largely just repeating what they have in the slide which in turn is just bare minimum about how to make these concepts work (which again can be found through papers + free resources).

Overall, I would recommend against taking this course since there are better or equal materials available.

By Hùng N T

Feb 26, 2024

Everything was good except that this course uses Trax. This framework has yet to have any new releases since 2021, and I cannot manage to train deep learning models using Trax on my GPU, not even possible in Colab. Trax is also very buggy and it does not have a large community to help. Recommendation for learners: take the course after it is fully rebooted to TensorFlow unless you want to take other courses to get useful/working code for NLP.

By Arun

Feb 18, 2021

Compared to Andrew Ng's deep learning specialization, this course requires a lot of improvement. Very often disparate facts are put together with not much connection between the ideas. This is probably because of the enormous amount of content covered. It might make sense to split the course into two. Thank you!

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 deeplearning.ai 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 一田木

Jul 23, 2023

Trax is no longer in active development.

By Sharad C

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 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.