This was the most difficult course in the series, but also has the greatest application to the kinds of problems I am interested in. Thank you creating this course and series! - Steve

This time around the programming exercises were a bit of guesswork. Would have been helpful to have more informative error messages. However, the course was very well taught as always.

Excelent resources and learning materials, it was very intiutive and helpful, thank you to Mr Andrew and his team. That was my last course in specialization, I will miss this place :)

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

It is a well designed course and will teach you things in a way where you will never get the feel of being left behind. Each and every word of Prof. Andrew Ng deepens your knowledge.

Great course, great lectures and assignments. It would have been slightly better if the assignments required more input from students' side rather than providing most of the details.

There is a deep beauty in deep learning that this course manages to encapsulate and present in digestable chunks. I feel ready to face the world with newfound skills and enthusiasm.

Honestly, the best course in Deep Learning I have ever taken. Thank the course staffs and Prof. Ng for sharing their valuable knowledge and helping ease the education through Moocs.

This course taught me so many important concepts in such an engaging way.

Andrew Ng is the best teacher I have ever come across.Looking forward to do more courses from you.

Thank you!

This course is hard to learn. It requires a lot of basic concepts about NLP and RNN. Fortunately, programming exercises have effectively deepened my understanding of these concepts.

Excellent overview of recurrent neural networks and applications like NLP, speech recognition, and sentiment analysis! The assignments especially were comprehensive and fascinating!

This course is AWESOME!!! I learned so much and it was put together so well. This course allowed me to write an article on attention and better understand stacked LSTM RNN networks.

I have the best time with you who designed the course and learnt together. When the professor said thank you, I was really moved and, not a words can express my appreciation to you!

It was a very good course, it demystifies quite some questions I have during deep learning works (eng), and I recommend everyone to dive during personal time. Thank you, Prof. Ng!

I got very valuable insights from this course. I have a raspberry Pi in home using which I control a lamp. I am going to activate it with speech based on learning from this course.

Thank you so much for the entire deep learning specialization. Thanks for generously sharing so many aspects about various topics, which will be otherwise difficult to come across.

The most challenging one among all 5 courses of this specialization, but I also got the most fun from the videos and programming exercises. The discussion forums are quite helpful.

A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.

Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.

Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.

All the courses are great, but this is the one I was interested in most. It didn't disappoint. The exercises were a bit challenging, but a lot of fun and relevant to the subject.

After taking the Deep Learning Specialization, I feel like I am a step higher than myself compared to last 4 months. Thanks to my instructor, curriculum developers and Coursera.

Apart from a few frustrations in earlier assignments because of some errors in the Jupyter notebook, which have rectified, the course was a challenging and rewarding experience.

Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.

I am pleased about the in-depth explanation about RNNs, LSTMs, and GRUs, as well as the Attention mechanism. Those were the topics that I was looking for when taking this class.