Every week's assignment brings a new challenge and it was fun to complete the assignments. Course Instructors explain concepts very well. This course teaches you from the beginner level to a professional level. Covers every topic related to NLP. I enjoyed learning NLP with Deeplearning.ai. I would like to thank deeplearning.ai for making this course.

Good course in overall. The last two weeks' assignment is a little bit too light. The instructor could introduce more about loading pretrained models and fine-tune them as it is a popular practice nowadays for small companies with limited resources (data/computation). Introduction to "easy-to-use" framework such as huggingface is highly recommended.

It is a very interesting course that led me to NLP-related concepts, papers, and tools, especially the assignments improved my coding weakness with lots of hints. Course 4 introduced me to many state-of-the-art models that light my path to go much deeper, such as Huggingface! I enjoyed this course very much!

This specialization covers from NLP basics to the advance models currently being used. All the programming assignments, contents and sessions were thoughtful. Exposure to Trax library and learning experience was really excellent. Thanks to the entire team of this specialization and coursera team.

The final weeks of this course, especially, introduce cutting edge NLP models and practices, such as T5, Huggingface and Reformer. This entire course was comprehensive in breadth. Highly recommended but you should be prepared to put 10x more hours into it than the Coursera estimates.

Very gentle and explanatory introduction to attention models and mechanisms. I really liked the explanations about Encoder-Decoder parts and the Attention itself. However the course could be even better, by adding something even more SOTA for now, but those are just my dreams :)

Thank you Coursera and the DeepLearning.AI team. The moment I set foot on this journey I did not think I would love NLP so much. The course is very informative: it teaches NLP from the very first naive algorithm to the State-of-the-art models today.

The course is so good and well presented. I really enjoyed the whole specialization. Thank you for this amazing course and the whole specialization which that me a lot. Thank you Andrew NG and deeplearning.ai team for this amazing specialization.

I learnt a lot about Transformers and Reformers which belong to the most advenced models for NLP tasks. The instructors were fully prepared though I'd prefer to see more animations in following courses. Thank you so much for spreading knowledge!

This course has helped me a lot in developing my NLP skills and now I am confident that I can solve NLP problems easily because both the instructors Younes and Luckerz has thought this course in a way that it can be absorbed in any NLP problem.

An excellent course that covers research that was published about two months early.

It doen't get more cutting edge than that, and the technology (reversible residual layers) is immediately applicable and a very powerful enabler.

Thanks a lot!

An amazing level of breadth and depth of the material presented. State of the art techniques are exemplified via carefully crafted lab assignments with sufficient hints for students to be able to comprehend hard technical concepts.

Thanks for setting out to do the impossible and creating this set of courses. You have opened a doorway to understanding where the state of the art is. The rest is up to me. That's the purpose of education.

Helpful and Interesting! This course leads me gradually understand how transformer works and being optimized along with several models without much confusions. Great thanks for the deeplearning.ai Team!!

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.

Quite complete course on the (current) state of the art of NLP. Interesting assigment using Trax. Some good introduction about big NLP model like GPT/T5/BERT.

Great course! I really enjoyed extensive non-graded notebooks on LSH attention. Some content was pretty challenging, but always very rewarding!

Thank you!

The course was very informative, I gained several new skills and find a lot of new, and now I feel myself much more confident in NLP, thank you!

Thanks Lukasz Kaiser and Younes Mourri ,Trax and coursera team!

This NLP specialization is most imporrtant and useful i've ever been before!

This is a very useful course for learning attention technique. Teacher explained very clearly. Assignments were really exciting.

Very well-designed and organized. Instructors are excelent. Some slides could be better; it would be great if that were fixed.

The course is so great you should definitely check it out it will give you deep insight through Natural language processing.

This NLP specialization is very well designed. I refreshed my AL learning at school years ago, and learned new things here.

It's a great way to get started with state-of-the-art NLP techniques, following the recommended papers is extremely useful.

Great course! I understood a lot of things and got a valuable experience working with the state-of-the-art architectures 👍