4. Okt. 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
20. Nov. 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.
von Simin F•
27. Nov. 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!!
23. Juni 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.
von D B•
25. Jan. 2023
I learned a lot from this course, and the ungraded and graded problems are relevant to understanding and knowing how to build a transformer or a reformer from scratch
von Adrien B•
12. Apr. 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.
von Aleksander M•
13. Okt. 2020
Great course! I really enjoyed extensive non-graded notebooks on LSH attention. Some content was pretty challenging, but always very rewarding!
von Фирсанова В И•
26. Apr. 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!
von 西川 尚之•
18. Okt. 2020
Thanks Lukasz Kaiser and Younes Mourri ,Trax and coursera team!
This NLP specialization is most imporrtant and useful i've ever been before!
von Nicolas F V D•
23. Sep. 2021
It's a great way to get started with state-of-the-art NLP techniques, following the recommended papers is extremely useful.
20. Dez. 2020
Great course! I understood a lot of things and got a valuable experience working with the state-of-the-art architectures 👍
von Umberto S•
17. Apr. 2021
Really practical course. It seems the SOTA in NLP, touching Transformers, BERT, T5, Reformers. So I think it's worth it
von Ovidio M M•
17. Apr. 2021
This is a very recommendable course to understand state-of-the-art NLP techniques and models using neural networks.
von Shahin Z•
27. Okt. 2020
Everything was great.
Slides & notebooks/exercise were amazing
The content is superb and very up-to-date.
von Ruiliang L•
31. Mai 2021
The course is good. If we download powerpoint and files in jupyter notebook, that will be great.
von Ajay G•
21. Juli 2021
Nice course to get the details of Attention with latest state of the art deep learning models.
von Martin P•
22. März 2021
Great course with great lecturers. Lecturers have clearly showed how far NLP research is.
von Syed M F R•
11. Okt. 2020
Loved the last week of the course, stood out amongst the other 15 of the specialization.
von Bhupi D•
19. Okt. 2020
Critical to keep abreast of state of art models in NLP and new frameworks like Trax.
von Kam K•
18. Aug. 2021
I liked the BERT sections and references to the theory behind positional encoders
von Yun-Chen L•
18. Nov. 2020
It's good course, you can learn a lot of model and basic concept like attention.
von Björn R•
17. Okt. 2020
This course made the latest technology of NLP easy to understand and implement.
von Madhur G•
13. Okt. 2020
It is great. It helps us to learn and implement the latest NLP architectures.
von Op S•
31. Dez. 2020
One of the most comprehensive courses in NLP with challenging quizzes around
von Bas v d R•
20. Okt. 2020
Incredibly interesting course showing state-of-the-art language modelling
von Christian E A•
27. Jan. 2022
The course improves a lot with the new material and classes. Congrats!
von Samina M•
16. Mai 2022
This course has been designed very nicely in terms of content, time.