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

4.5
stars
309 ratings
79 reviews

About the Course

In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning.AI, 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. This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them. 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

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.

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26 - 50 of 79 Reviews for Natural Language Processing with Attention Models

By SNEHOTOSH K B

Nov 21, 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 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 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 Shahin Z

Oct 27, 2020

Everything was great.

Slides & notebooks/exercise were amazing

The content is superb and very up-to-date.

By Jonathan M

Nov 16, 2020

The course was wonderful, full of updated content and explained in a really good way. Good work!

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 Bhupi D

Oct 19, 2020

Critical to keep abreast of state of art models in NLP and new frameworks like Trax.

By Yun-Chen L

Nov 18, 2020

It's good course, you can learn a lot of model and basic concept like attention.

By Björn R

Oct 17, 2020

This course made the latest technology of NLP easy to understand and implement.

By Madhur G

Oct 13, 2020

It is great. It helps us to learn and implement the latest NLP architectures.

By Bastiaen v d R

Oct 20, 2020

Incredibly interesting course showing state-of-the-art language modelling

By Carlos O

Oct 29, 2020

It's a great and challenging way to learn about these SOA frameworks.

By Ezio X

Nov 1, 2020

Very well developed course content and well managed community.

By Mario A C S

Oct 30, 2020

Great course to understand state of teh art NLP models

By Zane L

Oct 13, 2020

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

By Luis A A C

Sep 26, 2020

Excellent course on the state of the art in NLP.

By Роман Л

Sep 28, 2020

Assignments are hard and interesting. Thanks

By Xiaoli C

Oct 14, 2020

very useful class and love it!

By Tiago B d L

Oct 21, 2020

Great and inspiring!

By Han

Oct 20, 2020

It is a great course

By Onuigwe V

Oct 25, 2020

Beginners friendly

By Pranay R

Nov 13, 2020

Excellent content

By Jyotin P

Nov 22, 2020

Amazing course!

By Sohail Z

Oct 17, 2020

AWESOME!!!