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.
By Patrick A
•Nov 26, 2020
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!
By vadim m
•Oct 17, 2020
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.
By Jim F
•Feb 28, 2021
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.
By Simin F
•Nov 27, 2020
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!!
By lonnie
•Jun 23, 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.
By Adrien B
•Apr 12, 2021
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.
By Aleksander M
•Oct 13, 2020
Great course! I really enjoyed extensive non-graded notebooks on LSH attention. Some content was pretty challenging, but always very rewarding!
Thank you!
By Фирсанова В И
•Apr 26, 2021
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!
By 西川 尚之
•Oct 18, 2020
Thanks Lukasz Kaiser and Younes Mourri ,Trax and coursera team!
This NLP specialization is most imporrtant and useful i've ever been before!
By SANG Đ N
•Apr 10, 2023
This is a very useful course for learning attention technique. Teacher explained very clearly. Assignments were really exciting.
By Ehsan G
•Mar 5, 2023
Very well-designed and organized. Instructors are excelent. Some slides could be better; it would be great if that were fixed.
By Divyansh S
•Apr 29, 2023
The course is so great you should definitely check it out it will give you deep insight through Natural language processing.
By wei z
•Dec 28, 2023
This NLP specialization is very well designed. I refreshed my AL learning at school years ago, and learned new things here.
By Nicolas F V D
•Sep 23, 2021
It's a great way to get started with state-of-the-art NLP techniques, following the recommended papers is extremely useful.
By Dmitri
•Dec 20, 2020
Great course! I understood a lot of things and got a valuable experience working with the state-of-the-art architectures 👍
By Umberto S
•Apr 17, 2021
Really practical course. It seems the SOTA in NLP, touching Transformers, BERT, T5, Reformers. So I think it's worth it
By Olawale S
•Mar 18, 2024
I would give this class 6 stars if possible. Topics were well explained and, at a good pace. Thanks to the team @DLAI
By Ovidio M M
•Apr 17, 2021
This is a very recommendable course to understand state-of-the-art NLP techniques and models using neural networks.
By Shahin Z
•Oct 27, 2020
Everything was great.
Slides & notebooks/exercise were amazing
The content is superb and very up-to-date.
By Ruiliang L
•May 31, 2021
The course is good. If we download powerpoint and files in jupyter notebook, that will be great.
By Ajay G
•Jul 21, 2021
Nice course to get the details of Attention with latest state of the art deep learning models.
By Martin P
•Mar 22, 2021
Great course with great lecturers. Lecturers have clearly showed how far NLP research is.
By Syed M F R
•Oct 11, 2020
Loved the last week of the course, stood out amongst the other 15 of the specialization.
By Snehasish S
•Aug 24, 2023
Very Good course to understand the concept of transformer model and transfer learning
By Bhupi D
•Oct 19, 2020
Critical to keep abreast of state of art models in NLP and new frameworks like Trax.