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.

😁️☺️👍️

Very effective at improving my understanding of RNNs (and its variants), Natural Language Processing, and some basics regarding working with audio data.

This is an awesome course I recommend who really want to learn deep learning step by step. It was really comprehensive theoretical and practical guide.

This has been an excellent journey and I personally learned a lot from this courses. I want to thank AndrewNg for being the best teacher I ever had. <3

This specialization really helped me understand DL thoroughly. I really thank Coursera and Andrew's team at Deeplearning.ai for this wonderful content!

Awesome assignments. This course was a little difficult to understand but the assignments helped in understanding some of the complex topics discussed.

Great course, but needs more checks for understanding during the lecture. Course would also benefit with a dedicated module on TensorFlow and/or Keras.

The course is well-structured, and a nice introduction to sequence-related neural networks. The programming assignments cover interesting applications.