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Bewertung und Feedback des Lernenden für Natural Language Processing with Attention Models von deeplearning.ai

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833 Bewertungen

Über den Kurs

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-Bewertungen

JH

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

SB

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.

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76 - 100 von 201 Bewertungen für Natural Language Processing with Attention Models

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!!

von lonnie

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!

Thank you!

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.

von Dmitri

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.