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

776 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....



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


22. 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.

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101 - 125 von 194 Bewertungen für Natural Language Processing with Attention Models

von Arunjith

15. Sep. 2021

in depth understanding of the transformers. Highly recommended

von Ezio X

1. Nov. 2020

Very well developed course content and well managed community.

von Ivan V S

16. Feb. 2022

N​ot a bad course, but a bit too obstract and lacking TF.

von Adarsh W

3. Juni 2021

It was a slightly advanced course, but I learned a lot.

von Mario A C S

30. Okt. 2020

Great course to understand state of teh art NLP models

von Bhavana s

29. Nov. 2021

really a wonderful learning experience , a must try !

von Chunlei Z

5. Apr. 2021

Very detailed instruction in programming assignments

von Zane L

13. Okt. 2020

awesome course to learn the state-of-the-art of NLP!

von Triệu N V

13. Juni 2022

Thank you, I give many knowledge from this course.

von Luis A

26. Sep. 2020

Excellent course on the state of the art in NLP.

von Roman L

28. Sep. 2020

Assignments are hard and interesting. Thanks

von Pratyusha P

17. Juli 2022

Awemsome. Had a lot to learn and unpack!

von T d

13. Jan. 2021

Best part of the entire specialization!

von Meet G

28. Dez. 2020

The best course of the specialization

von Коняев М Н

29. März 2021

The course is nice and quite modern

von Xiaoli C

14. Okt. 2020

very useful class and love it!

von Wei X

30. Dez. 2020

Challenging but cutting edge


18. Dez. 2020

great course, its fantastic¡

von Nikesh B

15. Mai 2021

It was awesome! I loved it.

von Arman I

22. Mai 2021

Very practical! Thanks


21. Okt. 2020

Great and inspiring!

von Han T

20. Okt. 2020

It is a great course

von Onuigwe V

25. Okt. 2020

Beginners friendly

von Pranay R

13. Nov. 2020

Excellent content

von Carlos A C G

17. Jan. 2022

Incredibly good!