Absolutely fantastic course! Perfectly follows on from the Machine Learning course by Prof Ng et al.

(One slight issue with some videos' audio: there was a very high-pitch whistling that was almost painful to the ear.)

At first I thought this was the least interesting course, but after the lectures and labs I have to say that this is really the most interesting of them all. However it requires some knowledge from the previous courses.

The final course was very brief and bit harder to digest. The assignments and quiz where also tricky but, overall had fun. Thanks Andrew Ng and team for the Deep Learning Specialization course to be offered on Coursera.

Out of all five specialization courses, this was second most useful (right after first course in the series). Also one of the few that used any modern DL framework (Keras) and not implementing pseudo solutions in numpy.

Andrew simply explains things with exceptional lucidity. In a pretty short time I learnt a lot. Probably the week 4 could have been a little more detailed but overall he did a great job in covering all the core topics.

I was able to understand the difference between sequence models and previous course models. Moreover, I understood now how text and speech can be processed by AI. Finally, I could understand better the Keras framework.

Stunning attention (pun intended) by Professor Andrew in explaining delicate details of the inner workings of neural architectures, and very nicely designed programming exercises to make every week's content hit home.

This was an excellent course. The materials were perfectly structured to maximize understanding. I had no idea of a RNN and the course made a fantastic job in explaining and helping me develop a precise understanding.

Yet again Andrew Ng explains complex topics related to Sequential models in a much easier and understandable way . Barring few problems with the assignments and missing overview on Keras , overall course is a good one

Terrific course to get caught up on the latest and greatest in machine learning. Each course had the right amount of content and the pace was enjoyable per week with the video lessons, quiz, and programming projects.

Fantastic course. I benefitted immensely from Professor Ng's easy-to-understand lecture videos and the practical programming assignments. Looking forward to taking more courses from Professor Ng and DeepLearning.AI!

This Is very helpful course in order to learn Recurrent Neural Networks. The first 2 weeks were amazing but the third week was a bit less interesting. This whole series of Deep Learning Specialisation is really good.

firstly, I know about RNN is from this course, the explanation is clear, combination between theory and practical is great. This is a good resource for you if you want to know about RNN, NLP with Deep Neural Network.

Thank you! Although I have been working on AI for more than a year, coursera has given me a more systematic understanding of my previous work, and many opinions have been very helpful to my work, thank you very much!

This course was very good in terms of practical knowledge as it will keep challenging you in each and every assignment. It will make sure you utilize discussion forum thoroughly :) I loved it Course 4 and 5 are best.

This course is excellent .

It might be pretty intense of an ending specialization course .

It might be extended with how to structure sequence machine learning projects module .

Thanks again for making this possible !

Thank you for creating a course that provides so many insights into such a difficult topic. Were it not for this entire specialization I might still be lost looking for a way to enter the field of AI. Thanks a lot!

Andrew Ng's course is immensely enjoyable and accessible as usual. I especially appreciated the use of durian as an example throughout. It very much made me hungry and nostalgic for my time at home in Southeast Asia.

The best course i ever learned,thank you for providing such vast knowledge and making my career start towards AI/ML.It will definetely help me make this world a better place by taking inspiration from all instructor

The Sequence Models course was very unique. When I had read about RNNs many concepts were not clear. Now I have a better understanding of RNN, GRU and LSTM. But I have to still learn dig more into Attention models.

Great course, very clear presentation and interesting examples on how to prepare data and how to use keras. Very interesting on how easy it is to build & train complex networks with keras (once you have the data..)

Fantastic ! I heard about RNNs in the past but did not know how they were applied for such various topics. Now I know ! Thanks a lot to Coursera and in particular to Mr. Andrew for his highly pedagocic approach.

Andrew Ng Sir made deep learning so easy to understand and interesting. I was intimidated by words LSTM ,RNN, Attention etc but now i am comfortable with these concepts. Thanks a Lot Sir for this wonderful series.

Great course. Very challengint for me, but thanks to the clear explanations provided i could finish it and have surprises when I found that many of my thinking on the matter was right!

I'm so grateful. Thank you!!!

In my opinion this 5th course on sequence model is the most interesting (and the hardest) course in this specialization; not only the content but the programming practices are well built.

It's my favorite course :)