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Learner Reviews & Feedback for Natural Language Processing with Attention Models by DeepLearning.AI

4.4
stars
1,006 ratings

About the Course

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 reviews

RJ

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Not up to expectations. Needs more explanation on some topics. Some were difficult to understand, examples might have helped!!

SB

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One of the best course I have ever taken. The course provides in-depth learning of transformers from the creators of Transformers.

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126 - 150 of 246 Reviews for Natural Language Processing with Attention Models

By Utku T

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Feb 24, 2021

Awesome course! I learned many theoretical and practical techniques.

By stephane d

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Sep 10, 2023

Great Course and specialization that I recommend without Hesitate!

By Quốc Đ L

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Mar 10, 2024

I have had the exciting knowlegde about LLMs in this course !!!

By Arunjith

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Sep 15, 2021

in depth understanding of the transformers. Highly recommended

By Ezio X

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Nov 1, 2020

Very well developed course content and well managed community.

By Ivan V S

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Feb 16, 2022

Not a bad course, but a bit too obstract and lacking TF.

By Arunachalam J

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Dec 19, 2023

It was very informative and enjoyable. thanks very much

By Adarsh W

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Jun 3, 2021

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

By Mario A C S

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Oct 30, 2020

Great course to understand state of teh art NLP models

By Bhavana s

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Nov 29, 2021

really a wonderful learning experience , a must try !

By Chunlei Z

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Apr 5, 2021

Very detailed instruction in programming assignments

By Zane L

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Oct 13, 2020

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

By Nguyen V T

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Jun 13, 2022

Thank you, I give many knowledge from this course.

By Luis A

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Sep 26, 2020

Excellent course on the state of the art in NLP.

By Роман Л

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Sep 28, 2020

Assignments are hard and interesting. Thanks

By Pratyusha P

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Jul 17, 2022

Awemsome. Had a lot to learn and unpack!

By T d

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Jan 13, 2021

Best part of the entire specialization!

By Meet G

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Dec 28, 2020

The best course of the specialization

By Коняев М Н

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Mar 29, 2021

The course is nice and quite modern

By azzam a a a

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Feb 21, 2024

excellent course really wonderful

By Xiaoli C

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Oct 14, 2020

very useful class and love it!

By Wei X

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Dec 30, 2020

Challenging but cutting edge

By RICARDO A F S

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Dec 18, 2020

great course, its fantastic¡

By Nikesh B

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May 15, 2021

It was awesome! I loved it.

By Neeraj K

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Sep 7, 2023

Very Well Taught thank you