Very good course. Would be nice to offer yearly or biyearly updates on the latest influential research targeted to graduates of deep learning specialization

nice videos on sequence modelling , LSTM , types of RNNs, GRUs , intuition on natural language processing and doing the assignments were really interesting.

This specialization series is well-designed, comprehensive and condensed, and Andrew's style is charming, the learning process will be a pleasant journey.

I really enjoy and am expressed by how sequence models contribute to NLP, speech recognition, etc. I do think this inspires me to explore more in the field

Fantastic specialization! Thank you Andrew and the other course contributors. I am inspired to go out and use my new Deep Learning super power for good :-)

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

Loved this course. It was everything I expected and more. Always had a hard time understanding attention mechanism and Dr Andrew Ng explained it very well.

I find CNN/RNN courses very helpful, but I would highly recommend to improve the exercises. Some typo mistakes can result in hours wondering what is wrong.

Excellent content and hands on assignments provides the best ever learning experience ever. I would like to thank all the content creators of this course.

Its been great journey to complete this course and so many things I learned which will be helpful in many deep learning and machine learning applications.

As usual Mr.Andrew NG is great in explaining the concepts.I hope to make use of the skills learnt through this course and this one is coming in great way.

Very interesting course! It has taught me a lot. Special thanks to the Mentors and the Students who gave hints and explanations in the discussion forums.

Extremely clear and useful. Natural Language Processing, Speech Recognition and Automatic Translation are now concepts much more clearer and close for me.

Slightly more difficult than the previous course but a fascinating course. Programming assignments require more thoughts but they are real world use cases

Great course about sequence models. I think that this is the most hard of the five courses, but at the end you get all about the architecture of the RNN.

I was highly confused about sequence models before this course. This course is highly recommended. Thanks to the total deeplearning.ai and Coursera team.

Amazing Content !

Grateful to Andrew Ng and his Deeplearning.AI team for spending great amount of time and effort to come up with such a quality content !

Course content and lectures are excellent. Programming assignments have some minor glitches which should be addressed for a course that requires tuition.

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

Perfect Start for Understanding RNNs, LSTMs, BRNN, Attention and Basic NLP. It gets you up and running with very easy KERAS implementation of the things.

The lectures are amazing. The assignments were difficult for me, but forced me to understand the concepts better. Really glad to have taken the course.

Excellent course that not only provides a good foundation for deep learning in general, but also gives some insights into more recent developments in AI.

That was a really cool course! Specially the last week, where we've implemented many ideas that I knew were possible but had no clue how to! Very nice!!

This course gives a great foundation to understand sequence models. Assignments help lay out how sequence models work and also interesting applications.

Very much satisfied, to its content. Learnt a lot, thanks a ton to Prof. Andrew Ng for your hard work on its topics & how making learning easy.

😁️☺️👍️